<?xml version="1.0" encoding="UTF-8"?>
<itemContainer xmlns="http://omeka.org/schemas/omeka-xml/v5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://omeka.org/schemas/omeka-xml/v5 http://omeka.org/schemas/omeka-xml/v5/omeka-xml-5-0.xsd" uri="https://omeka.ibu.edu.ba/items/browse?output=omeka-xml&amp;page=295" accessDate="2026-06-28T13:22:10+01:00">
  <miscellaneousContainer>
    <pagination>
      <pageNumber>295</pageNumber>
      <perPage>10</perPage>
      <totalResults>3494</totalResults>
    </pagination>
  </miscellaneousContainer>
  <item itemId="658" public="1" featured="0">
    <fileContainer>
      <file fileId="655">
        <src>https://omeka.ibu.edu.ba/files/original/ebad0e8e00b54204b6ff2a844190a809.docx</src>
        <authentication>4467e999aa249b3a275a79468c770577</authentication>
      </file>
      <file fileId="656">
        <src>https://omeka.ibu.edu.ba/files/original/f9278960ee69b275c5be16b57af9d80b.pdf</src>
        <authentication>8baffdc63416c2db70f346c0f83273fa</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5224">
                    <text>Foreign Direct Investment in the Western Balkan Transition
Economies:Future Perspectives
AdisaArapović-Omerbegović
Department of Economics
Sarajevo School of Science and Technology
Sarajevo, Bosnia and Herzegovina
adisa.omerbegovic@ssst.edu.ba
EldinDobardžić
Department of Economics
Sarajevo School of Science and Technology
Sarajevo, Bosnia and Herzegovina
eldin.dobardzic@ssst.edu.ba

Abstract: The importance of FDI for the economic development of a transition economy is
especially pronounced. However, it is necessary to say that the importance of FDI for the
Western Balkan countries have the crucial importance especially for the continuation and
completion of the initiated reforms. Continuation and completion of structural economic
reforms is also one of the key conditions for the accession of the Western Balkan countries to
the European Union. So, the central question is what are the key factors that determine the
level of FDI flows into the Western Balkan countries in the near future.
The notable FDI performance of Central Eastern European countries during their
preparation for the EU accession in the last decade and the experience of earlier EU
enlargements demonstrate that economic integration can increase FDI inflows. The Western
Balkans follows a specific process of economic integration. On the one hand, intra-regional
integration aims at normalizing the economic relations after the period of disintegration
during the nineties and helps to create a common market. On the other hand, the regions
aspire to accede into the EU, as it has been demonstrated by the EU membership application
of Croatia. This paper aims to analyze how political stability or instability may affect FDI
inflows by creating an index of performance on this variable for each Western Balkan country
and relates it to a measure of FDI performance for a particular country. Also, the paper
analyzes the impact of the EU accession process on the value of FDI inflows. The integration
of the Western Balkan countries with the aim of liberalizing interregional trade represents
(such as a CEFTA agreement) a chance for improving their mutual cooperation and it
provides the basis for a more intensive trade with the European Union countries. Based on
the analysis of the current political situation in the Western Balkans, as well as the current
position in the negotiations with the EU, paper indicates the factors which determine the
likely direction of potential FDI flows into the Western Balkan countries with the specific
recommendations for the economic policy makers.
Keywords: Western Balkan transition economies, foreign direct investment, political
volatility, EU integration
16

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5216">
                <text>2442</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5217">
                <text>Foreign Direct Investment in the Western Balkan Transition Economies:Future Perspectives</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5218">
                <text>ARAPOVIĆ-OMERBEGOVIĆ, Adisa
DOBARDŽIĆ, Eldin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5219">
                <text>The importance of FDI for the economic development of a transition economy is especially pronounced. However, it is necessary to say that the importance of FDI for the Western Balkan countries have the crucial importance especially for the continuation and completion of the initiated reforms. Continuation and completion of structural economic reforms is also one of the key conditions for the accession of the Western Balkan countries to the European Union. So, the central question is what are the key factors that determine the level of FDI flows into the Western Balkan countries in the near future.   The notable FDI performance of Central Eastern European countries during their preparation for the EU accession in the last decade and the experience of earlier EU enlargements demonstrate that economic integration can increase FDI inflows. The Western Balkans follows a specific process of economic integration. On the one hand, intra-regional integration aims at normalizing the economic relations after the period of disintegration during the nineties and helps to create a common market. On the other hand, the regions aspire to accede into the EU, as it has been demonstrated by the EU membership application of Croatia. This paper aims to analyze how political stability or instability may affect FDI inflows by creating an index of performance on this variable for each Western Balkan country and relates it to a measure of FDI performance for a particular country. Also, the paper analyzes the impact of the EU accession process on the value of FDI inflows. The integration of the Western Balkan countries with the aim of liberalizing interregional trade represents (such as a CEFTA agreement) a chance for improving their mutual cooperation and it provides the basis for a more intensive trade with the European Union countries. Based on the analysis of the current political situation in the Western Balkans, as well as the current position in the negotiations with the EU, paper indicates the factors which determine the likely direction of potential FDI flows into the Western Balkan countries with the specific recommendations for the economic policy makers.  Keywords: Western Balkan transition economies, foreign direct investment, political volatility, EU integration</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5220">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5221">
                <text>2014-04-24</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5222">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5223">
                <text>ISSN 2303-4564     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="6">
        <name>H Social Sciences (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="657" public="1" featured="0">
    <fileContainer>
      <file fileId="653">
        <src>https://omeka.ibu.edu.ba/files/original/8f5ef0c34313437c62081baf147dd41b.docx</src>
        <authentication>da6a16aaccb660086acc0343a421ad62</authentication>
      </file>
      <file fileId="654">
        <src>https://omeka.ibu.edu.ba/files/original/8bac4d2c3f21fd7b3b20b395de5e44b6.pdf</src>
        <authentication>55df8f1ec99bff69d5251847e1860a4f</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5215">
                    <text>The Compatibility of Dayton System for Bosnia and Herzegovina’s EU
Accession

Yigit Anil Guzelipek
CankiriKaratekin University
Turkey
guzelipek@gmail.com

Abstract: This study seeks to produce a critical approach regarding the compatibility of
Dayton system for Bosnia and Herzegovina’s EU accession in the framework of a new
perspective for the future of Bosnia. Nowadays, EU accession became the most important
foreign policy goal of Bosnia and Herzegovina in order to create a more operative state
system and complete the country’s reformation process. Nevertheless, still the country’s
complete system is based on the “Dayton regime” which was established in 1995. Needless to
say that the main goal of the Dayton system was creating a self-sufficient Bosnia and
Herzegovina for the following years. On the other hand, today it’s seen that the international
community still has a very constitutive role over Bosnia and Herzegovina. A productive
national economy, operative democracy and dialogue stage between the ethnic groups might
be considered as the most important uncompleted issues of the post-war period. In particular,
when we consider the fact that some of the constitutive countries of former Yugoslavia had
completed their EU accession or they became an official candidate for EU; the importance of
EU for Bosnia and Herzegovina can be much more understandable. The main argument of
this paper is producing the incompliance of Dayton system for Bosnia and Herzegovina based
on the fact that Dayton system in Bosnia and Herzegovina created a state which is dependent
to the existence of international community over the region. Additively, a bipartite
comparative approach will be used both between the pre and post Dayton terms and between
Bosnia and Herzegovina and other EU member former Yugoslav countries.
Keywords: Bosnia and Herzegovina, Dayton Regime, International Community, EU
Accession, Consolidation of Democracy

10

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5207">
                <text>2434</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5208">
                <text>The Compatibility of Dayton System for Bosnia and Herzegovina’s EU Accession</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5209">
                <text>ANIL GUZELIPEK, Yigit</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5210">
                <text>This study seeks to produce a critical approach regarding the compatibility of Dayton system for Bosnia and Herzegovina’s EU accession in the framework of a new perspective for the future of Bosnia. Nowadays, EU accession became the most important foreign policy goal of Bosnia and Herzegovina in order to create a more operative state system and complete the country’s reformation process. Nevertheless, still the country’s complete system is based on the “Dayton regime” which was established in 1995. Needless to say that the main goal of the Dayton system was creating a self-sufficient Bosnia and Herzegovina for the following years. On the other hand, today it’s seen that the international community still has a very constitutive role over Bosnia and Herzegovina. A productive national economy, operative democracy and dialogue stage between the ethnic groups might be considered as the most important uncompleted issues of the post-war period. In particular, when we consider the fact that some of the constitutive countries of former Yugoslavia had completed their EU accession or they became an official candidate for EU; the importance of EU for Bosnia and Herzegovina can be much more understandable. The main argument of this paper is producing the incompliance of Dayton system for Bosnia and Herzegovina based on the fact that Dayton system in Bosnia and Herzegovina created a state which is dependent to the existence of international community over the region. Additively, a bipartite comparative approach will be used both between the pre and post Dayton terms and between Bosnia and Herzegovina and other EU member former Yugoslav countries.   Keywords: Bosnia and Herzegovina, Dayton Regime, International Community, EU Accession, Consolidation of Democracy</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5211">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5212">
                <text>2014-04-24</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5213">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5214">
                <text>ISSN 2303-4564     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="6">
        <name>H Social Sciences (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="656" public="1" featured="0">
    <fileContainer>
      <file fileId="651">
        <src>https://omeka.ibu.edu.ba/files/original/48299c83ce8bdc378d04a48c4607968a.docx</src>
        <authentication>3c5e979d505ac3b93bc9a5c04ebad39a</authentication>
      </file>
      <file fileId="652">
        <src>https://omeka.ibu.edu.ba/files/original/ec52b1c0634399e1acaffeec587366a5.pdf</src>
        <authentication>8e83f90eecb78d623e42365e058b405d</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5206">
                    <text>Child Trafficking for Organ Transplantation and Law Enforcement
Failure in Albania
MirelaAlhasani (Dubali)
Epoka University
Albania
malhasani@epoka.edu.al
Alba Gerdeci
Epoka University
Albania
agerdeci@epoka.edu.al

Abstract: Trafficking in minors for sexual and labor exploitation, and, mostly for organs
transplantation has grown globally over the last few years. The profits of child trafficking
generate billions of dollars. Various researches have acknowledged child trafficking has a
human rights issue: the trafficked minors are deprived of their rights to life, equality in
education, dignity and security. Some governments have been coping with child trafficking as
an organized crime issue where children are kidnapped, ‘sold like market products’, coerced
and exploited to street begging, and definitely, the worst scenario of being ‘slaughtered’ for
organ transplantation criminal networks.
Unfortunately, Albania as a fragile non-consolidated democracy has become predominately a
country of origin of child trafficking for lucrative criminal targets. Our study will argue that
this growing phenomenon in Albania is directly related and accelerated by the ‘pure failure’
of the justice system. It will demonstrate by comparison and contrast of the textual analysis of
the academic and empirical data that politics with its powerful network have captivated the
police system and paralyzed the judicial institutions. Drawing on the root causes that make
children prey of the non-functioning of the judicial system, and then assessing the
investigative units’ incompetence to trace the victims and their perpetrators, this research will
offer a multidimensional picture of the Albanian child trafficking case noting its peculiarities
in connection with the political transition profile of the country itself.
Finally, we finalize with recommendations on improving the policing capacities to identify
and catch criminals, with judicial reform to clean up the corrupt judges and install the
professional judicial system built upon international standards. This will turn a contribution
to policymakers in Albania, to specialized units dealing with child trafficking, to nongovernmental sectors, to the institutional reforming attempts and challenges of the country to
end up political transition and consolidate the rule of law to its population and in particular
to the most vulnerable group, - the children.
Keywords: child trafficking, organ transplantation, failure of law
23

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5198">
                <text>2453</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5199">
                <text>Child Trafficking for Organ Transplantation and Law Enforcement Failure in Albania</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5200">
                <text>ALHASANI, Mirela
GERDECI, Alba</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5201">
                <text>Trafficking in minors for sexual and labor exploitation, and, mostly for organs transplantation has grown globally over the last few years. The profits of child trafficking generate billions of dollars. Various researches have acknowledged child trafficking has a human rights issue: the trafficked minors are deprived of their rights to life, equality in education, dignity and security. Some governments have been coping with child trafficking as an organized crime issue where children are kidnapped, ‘sold like market products’, coerced and exploited to street begging, and definitely, the worst scenario of being ‘slaughtered’ for organ transplantation criminal networks.     Unfortunately, Albania as a fragile non-consolidated democracy has become predominately a country of origin of child trafficking for lucrative criminal targets. Our study will argue that this growing phenomenon in Albania is directly related and accelerated by the ‘pure failure’ of the justice system. It will demonstrate by comparison and contrast of the textual analysis of the academic and empirical data that politics with its powerful network have captivated the police system and paralyzed the judicial institutions. Drawing on the root causes that make children prey of the non-functioning of the judicial system, and then assessing the investigative units’ incompetence to trace the victims and their perpetrators, this research will offer a multidimensional picture of the Albanian child trafficking case noting its peculiarities in connection with the political transition profile of the country itself.     Finally, we finalize with recommendations on improving the policing capacities to identify and catch criminals, with judicial reform to clean up the corrupt judges and install the professional judicial system built upon international standards. This will turn a contribution to policymakers in Albania, to specialized units dealing with child trafficking, to non-governmental sectors, to the institutional reforming attempts and challenges of the country to end up political transition and consolidate the rule of law to its population and in particular to the most vulnerable group, - the children.    Keywords: child trafficking, organ transplantation, failure of law</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5202">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5203">
                <text>2014-04-24</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5204">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5205">
                <text>ISSN 2303-4564     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="6">
        <name>H Social Sciences (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="655" public="1" featured="0">
    <fileContainer>
      <file fileId="649">
        <src>https://omeka.ibu.edu.ba/files/original/23029864ccc0f284f9e17265eb19471d.docx</src>
        <authentication>0a376fed69834f63d673196530d94b54</authentication>
      </file>
      <file fileId="650">
        <src>https://omeka.ibu.edu.ba/files/original/cc78649feff2eb0e69d23eec9dab976c.pdf</src>
        <authentication>e1785badcdf80783f8c8fc70b28cf235</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5197">
                    <text>The Development of Environmental Taxes and Environmental Public
Expenditures in Turkey Comparing Member Countries of the European
Union
İbrahim Akdoğan
Sakarya University
Turkey
iakdogan@sakarya.edu.tr
TülinAkdoğan
SakaryaUniversity
Turkey
LiridonKryeziu
SakaryaUniversity
Turkey
Ensar Selman Karagüzel
SakaryaUniversity
Turkey
ekaraguzel@sakarya.edu.tr
Abstract: This study investigates the causes of the environmental pollution, such as gas
emission which causes the global warming. Then we examined the legal aspect of reducing
environmental pollution, especially the most comprehensive international agreement the
Kyoto Protocol. As a study case we examined the environmental expenditures, trends of the
environmental policies, the development of environmental policy instruments (trend), and the
structure of the environmental taxes for the years studied from year 2000 until 2011, then we
compared Turkey and European Union.
The purpose of the study was to investigate how the public environmental expenditures and
environmental taxes changed in Turkey and EU since 2000 until 2011. Another purpose of the
study was the relationship between the public environmental expenditures and environmental
taxes. In this study authors used secondary data in the large extent. The data collection for
environmental tax revenues and the environmental expenditures was derived from European
statistics agency.
According to our findings the environmental expenditures did not exceed the 1 % of GDP.
Despite the international agreements, the majority of countries have not increased the
environmental expenditures, and also the general trend of environmental tax ratios have not
increased significantly. The average of the environmental tax ratios are approximately 2.5%
of GDP. Even though those countries have applied environmental taxes, they did not spend
for the environmental protection. This means that those tax revenues are being used for public
funding purposes.
Keywords: Environmental Pollution, Climate Change, Environmental Tax Revenues,
Environmental Public Expenditure, International Environmental Agreements.
45

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5189">
                <text>2477</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5190">
                <text>The Development of Environmental Taxes and Environmental Public Expenditures in Turkey Comparing Member Countries of the European Union</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5191">
                <text>AKDOĞAN, Ibrahim
AKDOĞAN, Tülin
KRYEZIU, Liridon
SELMAN KARAGÜZEL, Ensar</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5192">
                <text>This study investigates the causes of the environmental pollution, such as gas emission which causes the global warming. Then we examined the legal aspect of reducing environmental pollution, especially the most comprehensive international agreement the Kyoto Protocol. As a study case we examined the environmental expenditures, trends of the environmental policies, the development of environmental policy instruments (trend), and the structure of the environmental taxes for the years studied from year 2000 until 2011, then we compared Turkey and European Union.  The purpose of the study was to investigate how the public environmental expenditures and environmental taxes changed in Turkey and EU since 2000 until 2011. Another purpose of the study was the relationship between the public environmental expenditures and environmental taxes. In this study authors used secondary data in the large extent. The data collection for environmental tax revenues and the environmental expenditures was derived from European statistics agency.   According to our findings the environmental expenditures did not exceed the 1 % of GDP.  Despite the international agreements, the majority of countries have not increased the environmental expenditures, and also the general trend of environmental tax ratios have not increased significantly. The average of the environmental tax ratios are approximately 2.5% of GDP. Even though those countries have applied environmental taxes, they did not spend for the environmental protection. This means that those tax revenues are being used for public funding purposes.  Keywords: Environmental Pollution, Climate Change, Environmental Tax Revenues, Environmental Public Expenditure, International Environmental Agreements.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5193">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5194">
                <text>2014-04-24</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5195">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5196">
                <text>ISSN 2303-4564     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="6">
        <name>H Social Sciences (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="654" public="1" featured="0">
    <fileContainer>
      <file fileId="647">
        <src>https://omeka.ibu.edu.ba/files/original/4c489ebacd90c30e8011e4cf0b940004.docx</src>
        <authentication>0ce3267c6578df251390b7e8f324b683</authentication>
      </file>
      <file fileId="648">
        <src>https://omeka.ibu.edu.ba/files/original/10a7067339be6caaec27497acab9506e.pdf</src>
        <authentication>58a687905d8e2187c393923e3c43fcf1</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5188">
                    <text>Influence of Environment on Business Performance
SeadAhmić
Business Association PRO-IN
Bosnia and Herzegovina
sead.ahmic@pro-in.ba

Abstract: Entrepreneurial spirit of the people in Bosnia and Herzegovina has been on the rise
over the last nineteen years, since we witnessed significant emergence of many new business
start-ups. During Yugoslavian period most businesses were state-owned enterprises. Different
branches were deployed at different business areas. In Bosnia and Herzegovina, there were
certain parts of the country where certain industry sectors were highly developed such as
textile industry, food industry, metal, wood and other industries.
Purpose of this study is to explore influence of business environment on business
performance. Both qualitative and quantitative research will be conducted. For the
qualitative part of study data will be collected through in depth interviews with several
entrepreneurs in Federation of Bosnia and Herzegovina. And for the quantitative part, data
will be collected through questionnaires that will be delivered to entrepreneurs in four
municipalities in Federation of Bosnia and Herzegovina. The results of the study indicated
that people in the regions where state business were not present are more likely to open and
run their own private business than the people in the regions were state businesses operate.
Keywords: Entrepreneurs, Business Performance, Business Environment, Industry.

98

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5180">
                <text>2552</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5181">
                <text>Influence of Environment on Business Performance</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5182">
                <text>AHMIĆ, Sead</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5183">
                <text>Entrepreneurial spirit of the people in Bosnia and Herzegovina has been on the rise over the last nineteen years, since we witnessed significant emergence of many new business start-ups. During Yugoslavian period most businesses were state-owned enterprises. Different branches were deployed at different business areas.  In Bosnia and Herzegovina, there were certain parts of the country where certain industry sectors were highly developed such as textile industry, food industry, metal, wood and other industries.    Purpose of this study is to explore influence of business environment on business performance.  Both qualitative and quantitative research will be conducted. For the qualitative part of study data will be collected through in depth interviews with several entrepreneurs in Federation of Bosnia and Herzegovina. And for the quantitative part, data will be collected through questionnaires that will be delivered to entrepreneurs in four municipalities in Federation of Bosnia and Herzegovina.  The results of the study indicated that people in the regions where state business were not present are more likely to open and run their own private business than the people in the regions were state businesses operate.    Keywords: Entrepreneurs, Business Performance, Business Environment, Industry.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5184">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5185">
                <text>2014-04-24</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5186">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5187">
                <text>ISSN 2303-4564     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="6">
        <name>H Social Sciences (General)</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="653" public="1" featured="0">
    <fileContainer>
      <file fileId="646">
        <src>https://omeka.ibu.edu.ba/files/original/cc17ded3e35c7eb6b59854acfcd88c10.pdf</src>
        <authentication>e0e811f9d5c8301839c7b54f647f6f48</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5179">
                    <text>PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

DIGITAL FORENSIC INVESTIGATION, COLLECTION AND PRESERVATION OF
DIGITAL EVIDENCE

Vahidin Đaltur , Kemal Hajdarević,
Internacional Burch University, Faculty of Information Technlogy
71000 Sarajevo, Bosnia and Herzegovina
Vahidin.dzaltur@gmail.com

ABSTRACT
With computers, and other electronic devices being involved in an increasing number, and
type, of crimes the electronic trace left on electronic media can be a vital part of the legal
process. To ensure acceptance by courts, accepted processes and procedures need to be
acquired and demonstrated which are not dissimilar to the issues surrounding traditional
forensic investigations. Forensic technology makes it possible to: identify privacy issues;
establish a chain of custody for provenance; employ write protection for capture and transfer;
and detect forgery or manipulation. It can extract and mine relevant metadata and content;
enable efficient indexing and searching by curators; and facilitate audit control and granular
access privileges. In recent years, digital forensics has emerged as an essential source of tools
and approaches for facilitating digital preservation and curation, specifically for protecting
and investigating evidence from the past. Institutional repositories and professionals with
responsibilities for personal archives can benefit from forensics in addressing digital
authenticity, accountability and accessibility. Digital personal information must be handled
with due sensitivity and security respecting available standards while demonstrably protecting
its evidential value. A digital forensic investigation is a special case of a digital investigation
where the procedures and techniques that are used will allow the results to be entered into a
court of law. Computer forensics is a new and fast growing field that involves carefully
collecting and examining electronic evidence that not only assesses the damage to a computer
as a result of an electronic attack, but also to recover lost information from such systems to
prosecute criminals. With the growing importance of computer security today and the
seriousness of cyber-crime, it is important for computer professionals to understand the
technology used in computer forensics.
Keywords: Computer forensics, image acquisition, digital preservation, data recovery

265 | P a g e

�th

ISSD 2014

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

1. What Is Computer Forensics?
Computer forensics is the practice of collecting, analyzing and reporting on digital
information in a way that is legally admissible. It can be used in the detection and prevention
of crime and in any dispute where evidence is stored digitally. Computer forensics follows a
similar process to other forensic disciplines, and faces similar issues. Purpose is to give
answer to questions of a legal system related to computers. Any sort of legal issue, trial, some
sort of civil court cases or any other legal processing that has computer involved.
“Computer forensics usually refers to the forensic examination of computer components and
their contents such as hard drives, compact disks, and printers.” (Eoghan Casey, 2011).
2. Preparing for an investigation
Before we start with forensic investigation, we want to be sure that we understand the scope
of investigation. In order to understand what pieces of evidence we are looking for, what
elements are in play, what will move case forward in order to understand the truth what
happened? In understanding the scope of investigation we will get what evidence do we need
to acquire and what evidence do we have authority to acquire. There are cases where we may
find information that we don’t actually have authority to acquire and obtain. After we
determined scope of investigation, we must understand the type of investigation we are going
to conduct.
 Live acquisition
o Do we need what’s in memory?
o Do we need network state?
 Static acquisition
o Files
o Programs
The type of investigation is important so it has to be determined do we need that system up
and running in order to do live acquisition, or we just need hard drive or other storage device
in order to do static acquisition. Next step is to provide evidence storage in places, to store
disk drives, USB stick, and any type of memory card or a PC. We must have a place where
we can store them securely, with limited access or no access to other person at all. Also, we
need place to store digital artifacts where we can store image files of evidence that can’t be
tampered with. Along with those lines we need to be sure how documentation will be look
like. We must have a chain of evidence and evidence verification data (hash values).
Ultimately we need to be able to control and document everything that was happening with
evidence from the point that we required to the point that we handled off or presented
testimony for the evidence.

266 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

3. Forensic Workstation
If we are doing a lot of a forensic investigation or forensic examination, we definitely want to
have dedicated forensic work station. First we have to build a hardware configuration, chose
different types of interfaces, USB, FireWire, SCSI and so on. Other decision we have to make
is what operating system we are going to run on that working station. One of the choices is to
run a “LIVE CD”, because in this way we actually storing anything in primary hard drive,
nothing is writable at that regard and we are not making any changes.
“Primary these live CD-s are mostly Linux based and there are several available for forensic
workstation usage” (Christopher L.T. Brown, 2009).
One of the advantage for using Linux or UNIX like operating systems are number of tools
that are built in. Also we have a lot of forensic programs that run only on a Windows. Some
of the best free digital forensic investigation tools are:

 ProDiscover Basic is, indeed, a professional tool for consultants, system
administrators and investigators, giving them the information required to build strong
legal cases.
 The Sleuth Kit (+Autopsy), are open source digital investigation tools (a.k.a. digital
forensic tools) that run on Windows, Linux, OS X, and other Unix systems. They can
be used to analyze disk images and perform in-depth analysis of file systems (such as
NTFS, FAT, HFS+, Ext3, and UFS) and several volume system types.
 FTK Imager, is a simple but concise tool. It saves an image of a hard disk in one file
or in segments that may be later on reconstructed. It calculates MD5 hash values and
confirms the integrity of the data before closing the files. The result is an image file(s)
that can be saved in several formats including, DD raw.
 DEFT (Linux LIVE CD), (acronym for Digital Evidence &amp; Forensics Toolkit) is a
distribution made for Computer Forensics, with the purpose of running live on
systems without tampering or corrupting devices (hard disks, pen drives, etc…)
connected to the PC where the boot process takes place.
 CAIN, Is a password recovery tool for Microsoft Operating Systems. It allows easy
recovery of various kinds of passwords by sniffing network, cracking encrypted
passwords using dictionary, brute-force and cryptanalysis attack, recording VoIP
conversation, decoding scrambled password, recovering wireless network keys.
4. Image Acquisition
Image format is the way that data from a hard drive or hard drive partitions is stored in the
way they can be analyzed later on. There is a several way to acquire a disk image. Also, they
are a couple a different ways to store that disk image once we are acquired a data so that they
can be used without that actually having to use a hard drive. One of really important ways of
storing that is advanced forensic format (AFF). It is able not only to store data from a hard
drive, but also it can store some forensic Meta data along with them. AFF format is supported
from most of the primary forensic tools like Sleuth Kit and FTK. Another image format used
in Linux based OS is a RAW image. It’s a bit for bit copy whether it is a hard drive or a
particular partition, exactly the way it was on that physical media, but it’s stored in the file.
267 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

“When collecting the bit-stream image to file, the investigator will essentially access the data
through this method; stream the data sector by sector from the evidence media into a file or
group of files residing elsewhere.” (Christopher L.T. Brown, 2009).
4.1 Image Acquisition Under Linux
Under Linux, we have advantage of built in tools that will allows as to do image capture.
Name of the tool which is most often in use is dd, and it’s comes with majority of Linux
distributions available today. It can be used for various digital forensic tasks such as:
 Creating a raw image file (a bit for bit) from drive or partition
the basic syntax is:
dd if=/dev/sdb1 of=/home/vahidin/newimage.dd bs=512 conv=noerror,
sync
where if = input file ( in our case drive)
of = output files
bs = block size
conv = conversion options
 Forensically wiping a drive or partition ( zero out a drive)
the basic syntax is:
dd if=/dev/zero of=/dev/sdb1 bs=1024tem
where if = input file
of = output files
bs = block size
We can find a modified version of dd such as dcfldd or dc3dd, with additional features that
were added specifically for digital forensic acquisition tasks. The dd is a very powerful tool
that can have devastating effects if not used with care. It is recommended that you experiment
in a safe environment before using this tool in the real world.
4.2 Image Acquisition Under Windows
One of the most popular Windows imaging tools is “FTK Imager (Forensic Tool Kits)”. FTK
Imager is a data preview and imaging tool that allows as to examine files and folders on local
hard drives, USB sticks, network drives, CDs/DVDs, or any other media card and review the
content of forensic images or memory dumps. Using FTK Imager we can also create SHA1 or
MD5 hashes of files, export files and folders from forensic images to disk, review and recover
files that were deleted from the Recycle Bin (providing that their data blocks haven’t been
overwritten), and mount a forensic image to view its contents in Windows Explorer.

268 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

4.3 Volatile Information
As we are doing an investigation, sometimes we have use different systems which have to be
up and running and is actively in use. Volatile system information’s is capturing particular
information from this system before its shutdown, because when its shutdown the system’s all
information will vanish or disappear. One type of volatile information is logon session where
we can find information about user and services used at any given point of time. One of the
commonly used software is named ProDiscover.
“Using ProDiscover’s expanded live memory imaging and processed volatile data extraction,
investigators can learn more about the target system’s interaction within the running
environment and find passwords and memory-only resident malware” (Harlan Carvey, 2012).
Another interesting thing is processes that are running at any given time on a system. This
information is usually retained in memory while the system is operating and tends to
disappear when the system is shut down. Volatile information generally consists of:
System time, Logged on user(s), Process information, Network connections, Network status,
Clipboard contents, Command history, Service/driver information.
5. Data Recovery
Data recovery is the process of restoring data that has been lost, corrupted or made
inaccessible for any reason or accidentally deleted.
“In general, when a file is deleted, the data it contained actually remain on a disk for a time
and can be recovered” (Fred Cohen, 2009).
There are several reasons for data recovery; it’s possible that has been a deliberate attempt’s
to destroy a hard drive or partitions, or at least a data on them. We can find very handful tools
available for different platforms in order to recover the data. Depending on the file system, we
know that each operating system treats differently deleted files. For example:
 Windows FAT, marks file directory as unused and destroy allocation information.
 Windows NTFS, marks file entry as unused, then it deletes record from directory and
mark a disk space as unused.
 Linux file system destroys a file descriptor and sets a disk as free. (File location info,
file size, type of the file etc.)
This mean that data will remain there until the operating system reuses the space for new data.
5.1 Tools for Data Recovery
Whether we want to recover a deleted files and folders or to recover data from damaged
media our chances to save those data at safe location are depending at circumstances in which
way they are missing. In order to achieve this, we will use one of available data recovery
software, but we must pay attention from which file system, are we trying to recover the data.

269 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Let as introduce some of them:
 VirtualLab Data Recovery, besides supporting the NTFS, FAT and FAT-32, file
systems, it supports Mac HFS / HFS+ and even NFS. In addition, it supports data
recovery on devices such as memory card or USB drives. It has ability to make
sector-by-sector copy of a failing drive.
 EaseUS Data Recovery Wizard, have a three recovery modules
o Complete Recovery, used to recover data from formatted hard drive, corrupted
or displayed as a RAW
o Deleted File Recovery, used when your data are deleted and emptied from
Recycle Bin.
o Partition Recovery, used to recover data from hard drive when the partition is
deleted, invisible or lost.
 Stellar Pheonix, recover data from Windows PC hard drive, memory card and USB
sticks. Hi can restore archive, databases, documents and different type of multimedia
files.
Beside these, we can find a several other programs with better or almost the same functions,
depends on whether they are licensed or free of charge.
6. Conclusion
As is the case with all evidence, it's very important to maintain a chain of custody for
computer evidence. Each person who handled evidence may be required to testify that the
evidence presented in court is the same as when it was processed during the investigation.
Although it may not be necessary to produce at trial every individual who handled the
evidence, it is best to keep the number to a minimum and maintain documentation to
demonstrate that digital evidence has not been altered since it was collected. Forensic
investigators must do everything possible to preserve the integrity of the digital evidence.
Any mistakes in the process call the evidence into question and rendering it worthless. The
way we handle integrity issues are numerous and include the way we seize, label, transport
copy, analyze and finally present the results at court trials.

270 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

REFERENCES

[1] Christopher L.T. Brown, (2009). Computer Evidence, Second Edition: Collection &amp; Preservation.
[2] Eoghan Casey, (2011). Digital Evidence and Computer Crime, Third Edition: Forensic Science, Computer
and Internet.
[3] Harlan Carvey, (2012). Windows Forensic Analysis Toolkit, Third Edition: Advanced Analysis Techniques
for Windows 7.
[4] Fred Cohen, ( 2009). Digital Forensic Evidence Examination.
[5] John Sammons, (2012). The Basic of Digital Forensics, The primer For Getting Started in Digital Forensics.
[6] Michael G. Solomon, K Rudolph, Ed Tittel and Neil Broom, (2011). Computer Forensics JumpStart , Second
Edition.
[7] LIVE CD - BackTrack Linux - Penetration Testing Distribution. (2012). Retrieved Jan 27, 2014, from
http://www.backtrack-linux.org/
[8] Sleuth Kit – Open Source Digital Investigation Tools. (2014). Retrived Feb 15, 2014 from
http://www.sleuthkit.org/
[9] FTK – Forensic Toolkit 5. (2014). Retrived Feb 23, 2014 from http://www.accessdata.com/products/digitalforensics/ftk

271 | P a g e

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5171">
                <text>2534</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5172">
                <text>DIGITAL FORENSIC INVESTIGATION, COLLECTION AND PRESERVATION OF  DIGITAL EVIDENCE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5173">
                <text>ĐALTUR, Vahidin
HAJDAREVIC, Kemal</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5174">
                <text>With computers, and other electronic devices being involved in an increasing number, and  type, of crimes the electronic trace left on electronic media can be a vital part of the legal  process. To ensure acceptance by courts, accepted processes and procedures need to be  acquired and demonstrated which are not dissimilar to the issues surrounding traditional  forensic investigations. Forensic technology makes it possible to: identify privacy issues;  establish a chain of custody for provenance; employ write protection for capture and transfer;  and detect forgery or manipulation. It can extract and mine relevant metadata and content;  enable efficient indexing and searching by curators; and facilitate audit control and granular  access privileges. In recent years, digital forensics has emerged as an essential source of tools  and approaches for facilitating digital preservation and curation, specifically for protecting  and investigating evidence from the past. Institutional repositories and professionals with  responsibilities for personal archives can benefit from forensics in addressing digital  authenticity, accountability and accessibility. Digital personal information must be handled  with due sensitivity and security respecting available standards while demonstrably protecting  its evidential value. A digital forensic investigation is a special case of a digital investigation  where the procedures and techniques that are used will allow the results to be entered into a  court of law. Computer forensics is a new and fast growing field that involves carefully  collecting and examining electronic evidence that not only assesses the damage to a computer  as a result of an electronic attack, but also to recover lost information from such systems to  prosecute criminals. With the growing importance of computer security today and the  seriousness of cyber-crime, it is important for computer professionals to understand the  technology used in computer forensics.  Keywords: Computer forensics, image acquisition, digital preservation, data recovery</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5175">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5176">
                <text>2014-05-15</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5177">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5178">
                <text>ISSN 978-9958-834-36-3     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="76">
        <name>Q Science (General),QH301 Biology,QH426 Genetics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="652" public="1" featured="0">
    <fileContainer>
      <file fileId="645">
        <src>https://omeka.ibu.edu.ba/files/original/46cf36473f341152b9c8b879629bbbea.pdf</src>
        <authentication>261564c39f9a8c08497e404894e72193</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5170">
                    <text>PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

COMPARASION OF WIND MEASUREMENTS BY LIDAR AND MEASUREMENT
MAST FOR BORA WIND IN BOSNIA AND HERZEGOVINA
Elvir Zlomušica, Suad Zalihić, Jasmin Bejdić
University „Džemal Bijedić“ of Mostar

elvir.zlomusica@unmo.ba, suad.zalihic@unmo.ba, jabc@cowi.dk

ABSTRACT
Research of wind energy potential with the aim of installing wind turbines was performed on
location Hrgud in the southeastern part of Bosnia and Herzegovina. These are complex
terrains characterized by specific wind Bora. Measurements were performed by standard
procedures using the classical standard instruments, anemometers and wind vanes, mounted at
different heights on the measurement mast height of 77.5 m (agl) combined with remote
sensing technique such as the LIDAR (LIght Detection And Ranging) during period 23.8.
2013. – 19.12. 2013. The aim of this study was to perform an analysis and comparison of
collected measurement data from the measurement mast and the LIDAR (Windcube v2 FCR),
as well as the behavior of the equipment itself in the complex terrain and wind Bora
conditions in Bosnia. During the comparison the 10-min averaging time for the wind speed
and direction is used. It can be concluded from this analysis that the behavior of the LIDAR
under harsh local weather conditions was relatively well, except the problems with the power
supply. The LIDAR uncorrected wind speed was in general lower than the wind speed
measured by the cup anemometer at the same height. The comparison of the data of
measurement methods provides reliable information on the wind speed within the considered
altitude range.
Keywords: wind energy, LIDAR, wind Bora, Bosnia

229 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

1. INTRODUCTION
The first measurements with adequate equipment and technology aimed at determining of the
wind energy potential in Bosnia started in 2002 at the location of Podveležje (Mostar). Thanks
to analysis of data from different measurements campaigns the area of south Bosnia and
Herzegovina has been recognized as an interesting region for wind power production. At the
moment, it is impossible to discuss precisely about the real potential for the wind farm
construction. Research is still incomplete and limited by the complexity of terrain and by the
wind Bora. The Bora is a strong cold katabatic wind which mostly blows from north to north
– east, starts suddenly and decelerate slow. There are anti - cyclonal (dry) and cyclonal (with
clouds) Bora. Furthermore, there are several conditions needed for Bora (mountain massifs,
different values of temperature and pressure in the heights and lowlands, etc.). Also, there has
not been enough studies or research conducted on Bora in Bosnia and Herzegovina.
According to the rough estimation, the economically feasible potential should be around 1
000 – 1 200 MW (Zlomušica &amp; Behmen, 2003; Ćatović, Behmen, &amp; Zlomušica, 2004;
Zlomušica, 2010). In any case, it would be a success to install 50 MW before the year of 2015
(Zlomušica, 2013).
Detailed knowledge of the wind resource is necessary in the developmental and operational
stages of a wind farm site (International Standard, IEC 61400-12-1 Ed. 1., 2005). As wind
turbines continue to grow in size, measurement masts for mounting cup anemometers (the
standard procedure for wind resource assessment) have become much taller, and much more
expensive.
The LIDAR is ground-based and can work over one hundred of meters, sufficient for the tall
wind turbines. The use of LIDAR in complex terrain is very attractive for wind site
assessments since a grinding installation of a high mast can be avoided. The measurement
campaigns in some projects showed very promising results (Albers, Janssen, &amp; Mander, 2008;
Bingöl, Mann, &amp; Foussekis, 2008; Bourgeois, Cattin, Locker, &amp; Winkelmeier, 2008;
Bourgeois, Cattin, Winkelmeier, &amp; Locker, 2009; Krishnamurthy, Boquet, &amp; Machta, 2014).
Some strengths of the LIDAR are: relatively easy to deploy, still some fingering with cables
and tubes, installed by one or two persons in half a day, withstanding harsh climatic
conditions, low power consumption and no noise, while some weaknesses of the LIDAR are:
uncertainty of accuracy of wind speed data in complex terrain, very expensive high-tech
instrument, affected by rain and low clouds.
However, to the present day it is not recommended to use a LIDAR as a stand alone
instrument for accurate wind measurements. More validation studies and comparisons are
needed and data retrieval algorithms (vertical wind speed, turbulence) have to be improved.
Furthermore, the assumption of a homogeneous flow field used by the LIDAR technology has
to be considered in the data analyses, especially in complex terrain. In the next period the
standard (IEC 61400-12-1 Ed. 1., 2005) is expected to be changed, and a new standard will
include remote sensing techniques like the LIDAR.
The aim of the work is to compare the wind measurements from commercial LIDAR
instrument against an instrumented mast, in complex terrain, where many wind farms are now
being installed worldwide, as well as equipment behavior under harsh meteorological
conditions at the locality of Hrgud (southeast of Bosnia and Herzegovina). This equipment
has been used first time in Bosnia and Herzegovina. Measurements performed during the
summer-fall period of 2013 in the duration of four months.

230 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

2. METHOD AND MATERIALS
A four-months measurement campaign with an LIDAR and 78.5 m mast, which provided also
has long term data, for evaluating the remote sensing instruments, was performed. The
LIDAR was connected directly to the electrical grid via the local power line. However this
power line has been hit by lightings several times during the measurement campaign, which
has destroyed the 220V to 24V LIDAR convertor.
2.1 Site description
The measurement site called Hrgud in Bosnia and Hercegovina is situated approximately 35
km southeast of the city of Mostar or 5 km east from the town of Stolac, 10 - 11 km west from
the town of Berkovići, 50 km east from the Adriatic sea coast, Figure 1. The area can be
categorized as complex, with altitudes varying between 960 to 1110 m asl (above sea level)
and is approximately 5 km2. A southeast – northwest fault delimiting the plateau is
characterised with a very steep slope, which have a significant influence at the wind flow at
the site. The terrain is characterized by karsts with small meadows, bushes and low forest
vegetation.

Figure 1. Location of the Hrgud site in Bosnia and Herzegovina
Figure 2 shows the wind rose (frequency) for the Hrgud site of filtered data at 77.5 m agl for
the met mast at Hrgud site. The met mast was installed according to the standard IEC 6140012-1 (IEC 61400-12-1 Ed. 1., 2005) and MEASNET (Measuring Network of Wind Energy
Institutes) (Measnet, 2009). It can be seen that the prevailing wind directions are NNE and
SSE and consequently the most of the wind energy comes from these directions.

231 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Figure 2. Frequency and energy roses at 77.5 m for the 12 months of wind data
at the met mast Hrgud
Site conditions parameters for the met mast height 77.5 m are: max 10-min. measured wind
speed is 31.4 m/s, max 3-sec. measured wind speed is 38.7 m/s, annual mean temperature is
10.2 °C, annual min. temperature is –10 °C and annual mean air density is 1.083 kg/m3
(Impro-Impex &amp; COWI, 2013).

2.2 Measurement configuration
The instruments were installed at a height 1098 m asl. The instruments site coordinates are X:
258 392, Y: 4 776 046 of UTM WGS84 projection, according to the resolution of the GPS
device. The instruments were located on 100 m high hill about 1.5 km North of a 1000 m
deep and 2 km wide canyon. The hill is about 1 km long and 100 m wide, oriented E-W.
The LIDAR was positioned approximately 1.5 m from measuring mast, Figure 3. The sensor
height in the LIDAR is 1 meter above mast ground level. Therefore 1 meter shall be added to
the entered heights to get the actual measuring height. The LIDAR measurement started on 23
August 2013. The system consists of a Windcube v2 LIDAR, set up to measure the windspeed
at 10 different heights. The LIDAR is powered by 220 V supplied from the commercial grid.
Data from the LIDAR shall be used as supplement to data from Hrgud mast (as long term
data), in order to give a better assessment of the wind conditions on the site.

232 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Figure 3. The measurement site Hrgud, LIDAR (left) mast (right)
Windcube v2 LIDAR equipped with FCR (Flow Complexity Recognition) for direct wind
measurements in complex terrain was used in this campaign. The height range of this
instrument is from 40-200 m, data sampling rate is 1 sec.
In Table 1 the measurement configuration and measurement periods of the met mast and the
LIDAR are shown.
Table 1. Measurement configuration
Measurement height of
wind speed (m)

Measurement height of
wind direction (m)

Measurement period

Mast, cup
anemometers, Thies
Classic, wind vanes
Thies Compact

30; 55; 55; 75; 77.5

53 and 75

30 July 2012 – up to date

LIDAR
Windcube v2

44; 54; 64; 74; 77; 79; 89;
119; 129; 159

44; 54; 64; 74; 77; 79; 89;
119; 129; 159

23 August 2013 – 19
December 2013

3. RESULTS
3.1 Analyse of the data availability
The analyzed period for this study started 23 August 2013 and ended 19 Decebmer 2013. The
time series of the wind speed measured with the top cup anemometer at 77.5 m and the
LIDAR with and without FCR at 78 m are displayed in Figure 4.

233 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Figure 4. Time series of the wind speed measured with the top cup anemometer (black), the
LIDAR without correction (red) and the LIDAR with FCR (green)
The LIDAR measurements were interrupted several times during measuring campaing. The
main events causing interruption in the measurements are summarized in Table 2.
Table 2. Periods improper functioning of the LIDAR
Beginning
29.8.2013
9.10.2013
20.10.2013
25.10.2013
5.11.2013
23.11.2013

End
3.10.2013
20.10.2013
23.10.2013
30.10.2013
17.11.2013
23.11.2013

Explanation
FCR accidentally turned off
Power supply damaged by lighting
Complete std data files, but incomplete FCR files (only 1 value/day)
Complete std data files, but incomplete FCR files (only 1 value/day)
Power supply damaged by lighting
End of reliable measurements; LIDAR system damaged by lighting

Much more LIDAR uncorrected wind speed data (non-corrected for the terrain effect) were
collected than FCR corrected data.

3.2 Comparison of the measured wind speeds
The comparison of the measured wind speeds between the cup anemometer at 77.5 m and the
uncorrected LIDAR measurements and the FCR corrected LIDAR data at 78 m, respectively,
for the same dataset is shown in Figure 5 and Figure 6 with scatterplots and the evaluated
regression and correlation coefficients.
Dataset including uncorrected LIDAR wind speed data with an availability above 80% (Red:
two parametric linear regression; Blue: one parametric linear regression forced through 0).The
uncorrected LIDAR wind speed measurements underestimate the cup anemometer by 4.1%
on average, Figure 5.

234 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Figure 5. Uncorrected LIDAR wind speed at 78 m vs cup anemometer wind speed at 77.5 m
The FCR corrected LIDAR wind speed measurements overestimate the cup anemometer by
1.5% on average. The correlation coefficient is higher for the FCR corrected data than for the
uncorrected measurement. Dataset including FCR LIDAR wind speed data with an
availability above 80% (Red: two parametric linear regression; Blue: one parametric linear
regression forced through 0), Figure 6.

Figure 6. FCR LIDAR wind speed at 78 m vs cup anemometer wind speed at 77.5 m
Similar comparisons between LIDAR wind speeds (uncorrected and FCR corrected) were
done at 75 m and 55 m. The comparison results are similar to those at 77.5 m (Wagner &amp;
Bejdić, 2014).

235 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

3.3 Comparison of the measured wind direction
Direction measurements were taken at 53 m and 75 m with Thies Compact wind vanes, but
the wind vane at 75 m got broken during the measurement campaign, therefore the wind vane
at 53 m was used in the analysis.
The direction measured by the LIDAR at 55 m was compared to the direction from the wind
vane at 53 m. The comparisons of the LIDAR uncorrected direction and the FCR corrected
direction are not identical but very similar (Figure 7 and Figure 8). In both cases, the linear
regression results in an offset of about 110.

Figure 7. Uncorrected LIDAR wind direction at 55 m vs wind vane at 53 m (Red: two
parametric linear regression) – Wind speed below 3 m/s for this comparison

Figure 8. FCR LIDAR wind direction at 55 m vs wind vane at 53 m. (Red: two parametric
linear regression) - Wind speed below 3 m/s for this comparison

236 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

3.4 Wind Shear
The wind shear or vertical wind speed profile is an important parameter in the choice of the
optimal hub height of wind turbine. The wind shear expresses the ratio between the wind
speeds at different heights. The wind shear, of course, depends on the topography of the site
and is not identical for all directions. The power law wind shear is defined by (International
Standard. IEC 61400-1 Ed. 3., 2005):
v2  v1 h2 h1 



(1)

where the shear exponent α is calculated between the respective heights h1 and h2 and their
corresponding wind speeds v1 and v2.
The average wind speed profiles for the four prevailing wind sector measured with the mast
between 30 and 77.5 m and with the LIDAR between 45 and 160 m are displayed in Figure 9.
The wind sector is indicated at the top of each plot and with the number of data within that
sector in parenthesis. The vertical wind speed profiles of LIDAR and mast agree very well for
the NE sectors 0°-30°, 30°-60° and SE sectors 120°-150°, 150°-180°. However it was noticed
in Figure 9 that the averaged profiles do not typically follow a power law.

Figure 9. Average wind speed profile for the prevailing wind directions of mast data (black),
uncorrected LIDAR (red) and FCR corrected LIDAR (green)
237 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

4. CONCLUSIONS
The LIDAR functioned “relatively well” in complex conditions of the terrain and wind
characteristics of Bora. Unfortunate events demonstrate the importance of protecting the
power supply of the LIDAR from an exposed power line. The LIDAR software also happened
to be unstable, since several periods of data were missing although the system had power.
The LIDAR uncorrected wind speed was in general lower than the wind speed measured by
the cup anemometer at the same height by about 4%. The FCR corrected wind speeds were
higher than the cup anemometer wind speed by about 1.5%.
Based on a rough analysis of the surrounding topography, it seems that the LIDAR deviation
is mainly affected by the topography around the LIDAR within a radius of 500 m but the
major features of the topography within a larger radius has also some influence. This would
need to be further investigated with numerical tools (CFD).
The LIDAR uncorrected wind directions compared well to the wind vane and the FCR
correction had no significance influence on this comparison.
The shear exponent derived from the LIDAR wind speeds, both without and with FCR,
compared relatively well with the shear exponent form the mast cup anemometers.
For more relevant observance of Bora characteristics and behavior of the equipment in a
complex location like this one, it is necessary to carry out measurements in a longer period of
time and in different seasons.
ACKNOWLEDGEMENT

This work was performed under project Wind Measurement Program in RS, Bosnia &amp; Herzegovina.
The authors are grateful for the considerable technical support from the staff of the COWI A/S and
Impro Impex doo.

REFERENCES
Zlomušica, E., &amp; Behmen, M. (2003). Methodological approach to the selection of wind farm location.
Proceeding of 12th International Symposium on Power Electronics, Ee, Novi Sad, Serbia.
Ćatović, F., Behmen, M., &amp; Zlomušica, E. (2004). Trends in the Development of the Electric Power Systems
Based on Wind energy in World and in Bosnia and Herzegovina. Journal of Environmental Protection and
Ecology-Official Journal of the Balkan Environmental Association (B.EN.A), 5(4), 836-840.
Zlomušica, E. (2010). Wind Energy Resources in Bosnia and Herzegovina. Thermal Science, 14(1), 255-260.
Zlomušica, E. (2013). Particular Review on SODAR and LIDAR Measurements of Bora Wind in Mostar, Bosnia
and Herzegovina, International Journal of Engineering &amp; Technology IJET-IJENS, 13(6), 53-61.
International Standard. IEC 61400-12-1 Ed. 1. (12/2005). Power performance measurements of electricity
producing wind turbines.
Albers, A., Janssen, W., &amp; Mander, J. (2008). Comparison of LIDARs, German test station for remote wind
sensing devices. German Wind Energy Conference, DEWEK, Bremen, Germany.
Bingöl, F., Mann, J., &amp; Foussekis, D. (2009). Lidar Performance in Complex Terrain Modeled by WASP
Engineering. European Wind Energy Conference &amp; Exhibition, EWEC, Marseille, France.
Bourgeois, S., Cattin, R., Locker, I., &amp; Winkelmeier, H. (2008). Analysis of the vertical wind profile at a BORA
− dominated site in Bosnia based on SODAR and ZephIR LIDAR measurements. European Wind Energy
Conference &amp; Exhibition, EWEC, Brussels, Belgium.
Bourgeois, S., Cattin, R., Winkelmeier, H., &amp; Locker, I. (2009). CFD Modeling of the vertical wind profile and
the turbulence structure above complex terrain and validation with SODAR and LIDAR measurements.
European Wind Energy Conference &amp; Exhibition, EWEC, Marseille, France.
Krishnamurthy, R., Boquet, M., &amp; Machta, M. (2014). Turbulence Intensity Measurements from a Varity of
Doppler LIDAR. European Wind Energy Conference &amp; Exhibition, EWEA, Barcelona, Spain.

238 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Measnet. (2009). Evaluation of site-specific wind conditions – Version 1.
Impro-Impex, COWI. (2013). Hrgud – 12 Months Wind Study and Site Conditions Report.
Wagner, R., &amp; Bejdić, J. (2014). Windcube + FCR test in Hrgud, Bosnia &amp; Herzegovina - Final report. DTU
Wind Energy.
International Standard. IEC 61400-1 Ed. 3. (08/2005). Wind Turbines - Part 1: Design Requirements.

Elvir Zlomušica was born in 1971 in Mostar (Bosnia). Since 2000 he has been employed at the
University. In 2006 he got a PhD degree in technical sciences from University „Džemal Bijedić“ of
Mostar. He is the co-author of a book and author or co-author of more than 40 articles and scientific
papers presented in conferences and seminars, home and abroad. He was involved in realization of
over 20 research projects related to production process. Since October 2011 he has been employed as
an associate professor. Since April 2012 he has performed the function of a vice-rector of the
University „Džemal Bijedić“ of Mostar. His research interests include renewable energy sources, wind
energy.
Suad Zalihić was born in 1960 in Mostar (Bosnia). Since 2010 he has been employed at the
University. In 2013 he got a MSc degree in technical sciences from University „Džemal Bijedić“ of
Mostar. He participated in the implementation of many projects related to wind potential research at
various locations in Bosnia and Herzegovina. His research interests include wind energy and wind
loads on various structures.
Jasmin Bejdić was born in 1985 in Banja Luka (Bosnia). He holds a MSc degree in Wind Energy
from Technical University of Denmark. He has been working with wind energy since 2006, first for an
Danish wind energy developer/investor European Energy A/S and since 2011 as a consultant in COWI
A/S. Bejdić has great world wide experience wind measurements and application of wind data for
wind farm development.
239 | P a g e

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5162">
                <text>2531</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5163">
                <text>COMPARASION OF WIND MEASUREMENTS BY LIDAR AND MEASUREMENT  MAST FOR BORA WIND IN BOSNIA AND HERZEGOVINA</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5164">
                <text>ZLOMUŠICA, Elvir
ZALIHIĆ, Suad
BEJDIĆ, Jasmin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5165">
                <text>Research of wind energy potential with the aim of installing wind turbines was performed on  location Hrgud in the southeastern part of Bosnia and Herzegovina. These are complex  terrains characterized by specific wind Bora. Measurements were performed by standard  procedures using the classical standard instruments, anemometers and wind vanes, mounted at  different heights on the measurement mast height of 77.5 m (agl) combined with remote  sensing technique such as the LIDAR (LIght Detection And Ranging) during period 23.8.  2013. – 19.12. 2013. The aim of this study was to perform an analysis and comparison of  collected measurement data from the measurement mast and the LIDAR (Windcube v2 FCR),  as well as the behavior of the equipment itself in the complex terrain and wind Bora  conditions in Bosnia. During the comparison the 10-min averaging time for the wind speed  and direction is used. It can be concluded from this analysis that the behavior of the LIDAR  under harsh local weather conditions was relatively well, except the problems with the power  supply. The LIDAR uncorrected wind speed was in general lower than the wind speed  measured by the cup anemometer at the same height. The comparison of the data of  measurement methods provides reliable information on the wind speed within the considered  altitude range.  Keywords: wind energy, LIDAR, wind Bora, Bosnia</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5166">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5167">
                <text>2014-05-15</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5168">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5169">
                <text>ISSN 978-9958-834-36-3     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="76">
        <name>Q Science (General),QH301 Biology,QH426 Genetics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="651" public="1" featured="0">
    <fileContainer>
      <file fileId="644">
        <src>https://omeka.ibu.edu.ba/files/original/29f5a1e151b75178cf86ebb170fa5a40.pdf</src>
        <authentication>dde1decb82e2c223fe2d433f45084e42</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5161">
                    <text>PROCEEDINGS

______ The 5th International Symposium on Sustainable Development_______

ISSD 2014

PERFORMANCE ANALYSIS OF FEATURE RANKING ALGORITHMS ON
MICROARRAY DATASETS
Uğur Turhal1, Murat Gök2, Suat Onur3, Sebahattin Babur4
1,2,4

1

Department of Computer Engineering
3
Department of Informatics,
1,3
BalıkesirUniversity
2,4
Yalova University

ugurturhal@balikesir.edu.tr
3
suatonur@balikesir.edu.tr

2

murat.gok@yalova.edu.tr
4
sebahattin_babur@hotmail.com

ABSTRACT
The microarray datasets host a lot of information which influence the problems with different
the degree. Choosing the minimum number of features (attributes) which are representing of
these data structures as an optimization problem. Nowadays, the microarray datasets are
utilized in the diagnose of cancer diseases. However, their size may cause the curse of
dimensionality for machine learning methods during classification(Loris, N. et al., 2012).
Therefore, they need more computing power and long processing times. Hence, reducing the
number of attributes will be fundamental step to solve this problem. In this study, "Colon" and
"Ovarian" datasets which are used frequently in literature were processed with various feature
ranking algorithms. The best “k” number features, which chosen after ranking were classified
with "Naive Bayes” and "SVM(Linear) classifiers. The evaluation of the system was realized
on "Kappa", "MCC" and "Accuracy" scores and "ROC" graphs. This study aims to provide
helpful information to the researchers who work on the same datasets.
Keywords: Microarray datasets, Feature ranking, Naive Bayes, SVM

205 | P a g e

�ISSD 2014

I.

The 5th International Symposium on Sustainable Development_______

PROCEEDINGS

INTRODUCTION

DNA microarray technology has proven to be an important breakthrough in molecular
biology. This rapidly maturing technology is providing scientists with a means of monitoring
the expression of genes on a genomic scale(Chee, M.et al. 1996).
Cancer is a broad group of diseases involving unregulated cell growth. In cancer, cells divide
and grow uncontrollably, forming malignant tumors, which may invade nearby parts of the
body. Not all tumors are cancerous; benign tumors do not invade neighboring tissues and do
not spread throughout the body. There are over 200 different known cancers that affect
humans (Cancer Research UK, 2012).
In 2007, cancer caused about 13% of all human deaths worldwide (7.9 million). Rates are
rising as more people live to an old age and as mass lifestyle changes occur in the developing
world (Jemal A, et al. 2011). According to American Cancer Society, about 1,665,540 new
cancer cases are expected to be diagnosed and about 585,720 of them are expected to die in
America, 2014(American Cancer Society, 2014).
The American men-women who died owing to different cancer diseases between 1930 and
2010 are shown in the following figures I-II.

Figure I: Age-adjusted Cancer Death Rates, Males by Site, US, 1930-2010(American Cancer
Society, 2014).

206 | P a g e

�PROCEEDINGS

______ The 5th International Symposium on Sustainable Development_______

ISSD 2014

Figure II: Age-adjusted Cancer Death Rates, Females by Site, US, 1930-2010(American
Cancer Society, 2014).
The microarray data sets host a lot of information which influence the problems with different
the degree. One of important application area is disease prognostication(Golub, T.R. et al.
1999).Hence, choosing the minimum number of features (attributes) which are representing of
these data structures as an optimization problem.
In our former studies, we have improved the performance of classification with using
ensemble classification methods on "Colon" and "Thyroid" microarray datasets(Akbaş, A. et
al. 2013;Babur, S. et al. 2012;Turhal, U. et al. 2013). In this study, “Ovarian” and
"Colon"datasets which are used frequently in literature were processed with various feature
ranking algorithms. The best “k” (150 and 300) number features, which chosen after ranking
were classified with "Naive Bayes" and "SVM(Linear)" classifiers. The evaluation of the
system was realized on "Kappa", "MCC" and "Accuracy" scores and "ROC" graphs.
Finally all results have been compared and best ranking methods and classifiers for each
datasets are shown in the tables.
II.

MATERIAL AND METHODS

In this study, several experiments have been conducted on 2 publicly available datasets.
Below were provided a brief description for each dataset. (the salient features of each dataset
are summarized in Table I):
Table I: Characteristics of the datasets used in the experiments: the first column presents the
number of features (#F), and the second column reports the number of samples (#S)(Loris, N.
et al.2012).
Dataset
Ovarian (O)
Colon (C)

#F
15154
2000

#S
253
62

207 | P a g e

�The 5th International Symposium on Sustainable Development_______

ISSD 2014

PROCEEDINGS

Ovarian dataset (O): the ovarian dataset contains 253 samples and two class are considered:
91 samplesare normal and 162 samplesare ovarian cancers(Petricoin,E.F. et al. 2002);
Colon (C): the colon dataset contains 62 samples and two class are considered: 22 samples
are normal and 40samples are tumor cancers(Alon,U. et al.1999);
A. Feature Ranking
Many feature ranking methods are using frequently in literature. However all methods have
advantages and disadvantages while comparing each others. All feature ranking methods that
used in this study are described below;
1. Bhattacharyya
The Bhattacharyya coefficient is an approximate measurement of the amount of overlap
between two statistical samples. The coefficient can be used to determine the relative
closeness of the two samples being considered. It is calculated by following
equation(Djouadi, A. et al. 1990);
(1)
Where,
samples
number of partitions
,

numbers of members of samples

and

in the

partition.

2. T-Test
T-test is one method for testing the degree of difference between two means in small sample.
It uses T distribution theory to deduce the probability when difference happens, then judge
whether the difference between two means is significant (Jiaxi, L. 2010). It is calculated by
following equation;
(2)

Where,
= Average of first set of values
S1 = Standard deviation of first set of values
n2 = Total number of values in first set

= Average of second set of values
S2 = Standard deviation of second set of
values
n2 = Total number of values in second set

3. Wilcoxon
Absolute value of the standardized u-statistic of a two-sample unpaired Wilcoxon test, also
known as Mann-Whitney U test, is a non-parametric test of the null hypothesis that two
populations are the same against an alternative hypothesis, especially that a particular
population tends to have larger values than the other (Wilcoxon, F. 1945).It is calculatedwith
two formulas below (Mann, H.B. and Whitney, D.R. 1947);
(3)

208 | P a g e

�PROCEEDINGS

______ The 5th International Symposium on Sustainable Development_______

ISSD 2014

(4)
Where,
: the sample size for sample 1
: the sample size for sample 2
: the sum of the ranks in sample 1
: the sum of the ranks in sample 2
: observation and the total ranking number
: observation and the total ranking number
for sample 1
for sample 2
B. Feature Selection
In this section, the features of microarray datasets that used in the work are ranked according
to significance level. After that, first k number features are selected and created a new dataset.
Feature selection process is repeated for k=150 and k=300.
C. Classifiers
The classifiers used in this study are described below;
1.

Naïve Bayes

Naive Bayes is the simplest form of Bayes Net. All features are independent from given class
variables. This method is called conditional independency (Zhang, H. 2005).
(5)
2. Support Vector Machines (with Linear Kernel)
The support vector machine or SVM, first described by Vapnik and collaborators in
1992(Boser, B.E. et al. 1992), has rapidly established itself as a powerful algorithmic
approach to the problem of classification within the larger context known as supervised
learning (William H. 2007).
D. Performance Measurement
In order to increase reliability of results, some evaluation methods have been used that found
acceptance in literature. These methods;
1.

Accuracy (Acc)

The accuracy of a measurement system is the degree of closeness of measurements of a
quantity to that quantity's actual (true) value (Taylor, R. 1999). It is calculated by following
equality;
(6)
Where,
Number of real positives

Number of real negatives

Number of unreal positives

Number of unreal negatives

209 | P a g e

�The 5th International Symposium on Sustainable Development_______

ISSD 2014

2.

PROCEEDINGS

Kappa

Cohen's kappa coefficient is a statistical measure of inter-rater agreement or inter-annotator
agreement for qualitative items (Cohen, J. 1960). Bigger difference means better result. It is
calculated by following equality;
(7)
Adding proportion of observed compatibilities for two data,
Probability of emergence by coincidence for this compatibility
Kappa result
3.

Matthews Correlation Coefficient (MCC)

The measure was introduced in 1975 by Matthews (Matthews, B.W. 1975).The Matthews
correlation coefficient (MCC) is using as a measure of the quality of binary (two-class)
classifications.Bigger difference means better result. It is calculated by following equation;
(8)
are explained under the Accuracy header.
4. ROC
It is a method used for showing performance of binary classifier with graphic (Swets, A.
1996). It is calculated by following equation;
(9)
Where,
(10)
(11)
are explained under the Accuracy header.
E. Classification and Results
The datasets that obtained in section B are classified with classifiers which described in
section C. Ten-fold cross-validation method was used during the classification. The obtained
outcomes are shown in the tables.
The accuracy results that obtained by the raw datasets are shown in the Table II.
Table II: The accuracy results of full datasets.(%)

Naive Bayes
SVM (Linear)

210 | P a g e

Ovarian
k = 15154
92,4901
100,0000

Colon
k = 2000
53,2258
82,2581

�PROCEEDINGS

______ The 5th International Symposium on Sustainable Development_______

ISSD 2014

This results show that Linear SVM is better than the Naive Bayes for each dataset. This is
because the Linear SVM is appropriate to the large size datasets (McCue, R. 2009).
Classification performance results of the best 150 features for each datasets are shown the
tables below. The most effective values are shown bold in a yellow cell.
Table III: Ovarian dataset results (feature count “k” = 150)
Ovarian

NaiveBayes

SVM - Linear

k = 150

Acc (%) MCC Kappa

Acc (%)

MCC

Kappa

bhattacharyya

98,4190

0,966 0,9655

100,000

1,000

1,0000

ttest

97,6285

0,949 0,9480

100,000

1,000

1,0000

wilcoxon

88,5375

0,761 0,7576

99,2095

0,983

0,9829

Table IV: Colon dataset results (feature count “k” = 150)
Colon

NaiveBayes

SVM - Linear

k = 150

Acc (%) MCC Kappa

Acc (%)

MCC

Kappa

bhattacharyya

82,2581

0,656 0,6384

79,0323

0,547

0,5467

ttest

75,8065

0,560 0,5250

80,6452

0,587

0,5857

wilcoxon

72,5806

0,453 0,4411

69,3548

0,352

0,3506

May be reached the following outcomes by referencing the above values;
 In all datasets, the highest results for Naive Bayes classifier were obtained by using
bhattacharyya method.
 In Ovarian dataset, the highest results of best 150 features were obtained by using Linear
SVM classifier.
The ROC graphs of the above classification results are given below;
Figure III: Ovarian dataset ROC graph (feature count “k” = 150)

211 | P a g e

�The 5th International Symposium on Sustainable Development_______

ISSD 2014

PROCEEDINGS

Figure IV: Colon dataset ROC graph (feature count “k” = 150)

The classification results and ROC graphs of first 150 feature are given above. The results of
the best 300 features are given below.
Table V: Ovarian dataset results (feature count “k” = 300)
Ovarian

NaiveBayes

k = 300

Acc (%) MCC Kappa

Acc (%)

MCC

Kappa

bhattacharyya

96,4427

0,923 0,9226

100,0000

1,000

1,0000

ttest

96,8379

0,931 0,9310

100,0000

1,000

1,0000

wilcoxon

83,3992

0,656 0,6514

97,2332

0,941

0,9404

212 | P a g e

SVM - Linear

�PROCEEDINGS

______ The 5th International Symposium on Sustainable Development_______

ISSD 2014

Table VI: Colon dataset results (feature count “k” = 300)
Colon

NaiveBayes

SVM - Linear

k = 300

Acc (%) MCC Kappa

Acc (%)

MCC

Kappa

bhattacharyya

79,0323

0,628 0,5884

79,0323

0,538

0,5373

ttest

77,4194

0,605 0,5607

82,2581

0,617

0,6164

wilcoxon

62,9032

0,311 0,2849

74,1935

0,436

0,4364

May be reached the following outcomes by referencing the above values;
 In both of datasets,the highest results of best 300 features were obtained by using Linear
SVM classifier.

213 | P a g e

�The 5th International Symposium on Sustainable Development_______

ISSD 2014

PROCEEDINGS

The ROC graphs of the above classification results are given below;
Figure V: Ovarian dataset ROC graph (feature count “k” = 300)

Figure VI: Colon dataset ROC graph (feature count “k” = 300)

III. CONCLUSION
"Average Accuracy Results Table" is formed with the average of the results which given in
the above tables.The averagedtableis given below;
Table XII: Average Accuracy Results Table (“k” is the number of features)
Average Accuracy Results
Datasets

k

Bhattacharyya

T-Test

Wilcoxon

150

99,2095

98,8145

93,8735

300

98,2214

98,4190

90,3162

150

80,6452

78,2259

70,9677

300

79,0323

79,8388

68,5484

Ovarian

Colon

214 | P a g e

�PROCEEDINGS

______ The 5th International Symposium on Sustainable Development_______

ISSD 2014

Where,
The greencells show the highest average accuracy resultsof the Ovarian dataset.
The bluecells show the highest average accuracy results of theColon dataset.
Above table was created with the averaged results of all classifiers for each method.
Table XIII: Average Accuracy Results Table (“k” is the number of features)
k = 150 Accuracy Results (%)

Wilcoxon (Ovarian)

Naive Bayes

Linear SVM

88,5375

99,2095
(12)

Following conclusions are reached when considering the obtained average accuracy results
 Ranked Colon dataset results has been increased in comparison with raw dataset results.
Hence, ranking-selection algorithms are quite useful for this dataset.
 Ranked Ovarian dataset results has been decreased a little in comparison with raw dataset
results.Hence, ranking-selection algorithms is useful for the purpose of shorten the
classification duration.
 Also, the effect of the Wilcoxon method was observed. This method is quite ineffective for
all used datasets. Hence, it is not useful for these datasets.
At the next works; performance improvement can be realized with using same feature ranking
algorithms and datasets. Also, new feature ranking methods can be used in the work.All
processes can be repeated with less number of features. Roc and Accuracy values can be
increased with using ensemble classifiers. Thus, the advantages and disadvantages of used
each methods can be determined clearly.
IV. REFERENCES
Akbaş, A. et al. (2013) Performance Improvement with Combining Multiple Approaches to Diagnosis of
Thyroid Cancer. The 7th International Conference on Bioinformatics and Biomedical Engineering (iCBBE
2013), Beijing, China.
Alon, U. et al. (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal
colon tissues probed by oligonucleotide arrays. Proc. Natl Acad. Sci. USA,96, 6745–6750.
American
Cancer
Society
(2014).
Cancer
Facts
&amp;
Figures.
http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2014/index

Retrieved

from

Babur, S. et al. (2012) Dvm Tabanlı Kalın Bağırsak Kanseri Tanısı İçin Performans Geliştirme. Eleco 2012
Elektrik-Elektronik ve Bilgisayar Mühendisliği Sempozyumu, 425-428.
Boser, B. E. et al. (1992) A training algorithm for optimal margin classifiers. Proceedings of the fifth annual
workshop on Computational learning theory(COLT), 144.
Cancer Research UK (2011, May 11) How many different types of cancer are there? CancerHelp UK.
Chee, M. et al. (1996) Assessing genetic information with high-density dna arrays. Science,274, 610–614.

215 | P a g e

�ISSD 2014

The 5th International Symposium on Sustainable Development_______

PROCEEDINGS

Cohen, J. (1960) A coefficient of agreement for nominal scales. Educational and Psychological Measurement,
20 (1), 37-46.
Djouadi, A. et al. (1990) The quality of Training-Sample estimates of the Bhattacharyya coefficient. IEEE
Transactions on Pattern Analysis and Machine Intelligence.12 (1), 92–97.
Golub, T.R. et al. (1999) Molecular classification of cancer: class discovery and class predition by gene
expression monitoring. Science. 286, 531–537.
Jemal, A. et al. (2011) Global cancer statistics. CA: a cancer journal for clinicians,61 (2), 69–90.
doi:10.3322/caac.20107. PMID 21296855.
Jiaxi, L. (2010) The Application and Research of T-test in Medicine. Networking and Distributed Computing
(ICNDC).
Loris, N. et al. (2012) Combining multiple approaches for gene microarray classification. Oxford University
Press, 28 (8), 1151-1157.
Mann, H.B. and Whitney, D.R. (1947) On a test of whether one of two random variables is stochastically larger
than the other. Annals of Mathematical Statistics, 18, 50-60.
Matthews, B. W. (1975) Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
Biochimica et Biophysica Acta (BBA) - Protein Structure 405 (2), 442–451.
McCue, R. (2009) A Comparison of the Accuracy of Support Vector Machine and Naive Bayes Algorithms In
Spam Classiﬁcation. University of California at Santa Cruz, Nov 29.
Petricoin, E.F. et al. (2002) Use of proteomic patterns in serum to identify ovarian cancer. Lancet, 359, 572–577.
Swets, A. (1996) Signal detection theory and ROC analysis in psychology and diagnostics. Lawrence Erlbaum
Associates, Mahwah, NJ.
Taylor, R. (1999) An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements.
128–129.
Turhal, U. et al. (2013) Performance Improvement for Diagnosis of Colon Cancer by Using Ensemble
Classification Methods. The International Conference on Technological Advances in Electrical, Electronics and
Computer Engineering (TAEECE 2013), Konya, Turkey.
Wilcoxon, F. (1945) Individual comparisons by ranking methods. Biometrics Bulletin,1, 80-83.
William, H. et al. (2007) Support Vector Machines Numerical Recipes: The Art of Scientific Computing (3rd
ed.). Cambridge University Press, New York.
Zhang, H. (2005) Exlporing Conditions for the Optimality of Naive Bayes. International Journal of Pattern
Recognition and Artificial Intelligence,19 (2), 183-192.

216 | P a g e

�PROCEEDINGS

______ The 5th International Symposium on Sustainable Development_______

ISSD 2014

Uğur TURHAL was born in Trabzon, Turkey in 1988. He was graduated with Bachelor’s degree
from Marmara University in 2011. He is a graduate student in the Computer Engineering Department
of Yalova University, Turkey. Also, He is working as a computer specialist at Balikesir University,
Turkey. Interested areas are; Bioinformatics, Signal Processing, Microarray Datasets, Cancer
Dieseases
Murat GÖK performed a Master in Computer Sciences at Mugla University (Turkey). After his
Master thesis on the decision support systems, he began in 2006 a PhD in Computer Sciences at
Sakarya University (Turkey). In June 2011, he defended his PhD thesis entitled “Prediction of HIV-1
Protese Cleavage Sites with New Techniques”. Having completed his PhD, he became an assistant
professor at the department of computer engineering on Yalova University(Turkey).His research
interests are bioinformatics, machine learning algorithms and theories, computer programming. He has
several papers on bioinformatics. He currently has several master students.
Suat ONUR was born in Kütahya, Turkey in 1972. He was graduated with Bachelor’s degree from
Gazi University in 1995. He is a graduate student in the Electric-Electronic Engineering Department
of Balikesir University, Turkey. Also, He is working as a lecturer at Balikesir University, Turkey.
Interested areas are; Bioinformatics, Internet Programming, Embedded Systems
Sebahattin BABUR was born in Bursa/Turkey in 1988. He was graduated with Bachelor degree in
2011 from Marmara University. He is a graduate student in the Computer Engineering Department of
Yalova University, Turkey. Also, he has been working as Technical Sales Engineer for 1 year at
Beckhoff Automation Company, Turkey. His areas of interest: Solution of Bioinformatics Problems,
Image Processing, The Design of Electronic Circuits, Industrial Automation Technology

217 | P a g e

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5153">
                <text>2529</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5154">
                <text>PERFORMANCE ANALYSIS OF FEATURE RANKING ALGORITHMS ON MICROARRAY DATASETS</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5155">
                <text>TURHAL, Ugur
GOK, Murat
ONUR, Suat
BABUR, Sebahattin</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5156">
                <text>205 | P a g e  PERFORMANCE ANALYSIS OF FEATURE RANKING ALGORITHMS ON MICROARRAY DATASETS  Uğur Turhal1, Murat Gök2, Suat Onur3, Sebahattin Babur4  1,2,4Department of Computer Engineering  3Department of Informatics,  1,3 BalıkesirUniversity  2,4 Yalova University  1 ugurturhal@balikesir.edu.tr  2 murat.gok@yalova.edu.tr  3 suatonur@balikesir.edu.tr  4 sebahattin_babur@hotmail.com  ABSTRACT</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5157">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5158">
                <text>2014-05-15</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5159">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5160">
                <text>ISSN 978-9958-834-36-3     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="76">
        <name>Q Science (General),QH301 Biology,QH426 Genetics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="650" public="1" featured="0">
    <fileContainer>
      <file fileId="643">
        <src>https://omeka.ibu.edu.ba/files/original/6e497079419e94af475422ae03fbe5a5.pdf</src>
        <authentication>82214a6cde3b58d3d0b590b710b9411e</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5152">
                    <text>PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

THE CHEMICAL COMPOSITION OF THE CRAYFISH
(Astacus leptodactylus) IN POND YENICE
Selçuk Berber, Selçuk Türel*, Sevdan Yılmaz
Marine Sciences and Technology Faculty,
Çanakkale Onsekiz Mart University, Çanakkale, Turkey
*
Correspondonce: selcukturel@comu.edu.tr
Abstract
The changes in the compositions of crude protein, fat and fatty acid in the muscle tissues of
male and female samples of Astacus leptodactylus acquired by hunting in the dates between
November 2007 and June 2008 which is the breeding season for the crayfish from Pond
Yenice which is used for irrigation in Çanakkale province, Turkey, are examined in the study.
Whereas the amount of crude protein in male samples is around 11.78-15.68%, it is identified
that the amount is around 13.09-17.59% with the female samples. Fat changes from 3.294.95% for the male samples, 3.67-5.82% with the female samples. It is observed that there is a
continuous increase in the compositions of crude protein and fat generally through the
beginning and the end of the sampling period. The amounts of EPA, DHA and AA show
change according to the breeding season and season.
Keywords: Astacus leptodactylus, Fatty acids, Crude protein, Lipid, Seasonal change.

75 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Introduction
The crayfish (A. leptodactylus), a member of the Astacidae family, is widely seen in our
inland waters. Generally, they live in various habitats such as streams, rivers, ponds and lakes
(Lowery Köksal, 1988). Having more than 500 species over the world, the crayfish is
represented only by two subspecies (A. leptodactylus leptodactylus and A. leptodactylus
salinus) of A. leptodactylus species (Geldiay &amp; Kocataş, 1970). They exist naturally in many
lakes, reservoirs and rivers. Crayfish is one of the species of the crustacean species which has
a high economic value.
The A. leptodactylus species is reported in the inland waters of Turkey in Kayseri, Bursa and
İstanbul for the first time (Bott, 1950). While the crayfish were represented only by A.
leptodactylus until recent time in our country, the existence of Austropotamobius torrentium
(Shrank, 1803), a new species in the northern Thrace, is proven (Harlıoğlu Güner, 2006).
There are about 500 lakes in various sizes in the Marmara region and these lakes and ponds
are unrestrainedly filled with crayfish in different times. One of the water resources that are
filled with crayfish is Pond Yenice (Berber, Yıldız, Ateş, Bulut, Mendeş, (2010)) (Çanakkale,
Yenice Central Irrigation Pond).
Its most significant natural habitat is lakes and ponds and they began to be seen widely in the
lakes and ponds of the Marmara region after the 2000’s (Harlıoğlu, 2004; Berber et al. 2010).
Reaching 5000 tons in the 1980’s nationwide in Turkey, the crayfish production decreased
substantially due to a mycosis, the crayfish plague (Aphanomyces astaci) after the date (Bolat,
2001).
Like in other aquaculture products productions, the breeding season and breeding physiology
are quite significant in crayfish production as well. Healthy and genetically durable offspring
are needed to increase the amount of production in the lakes and ponds. The quality of the
brood stock should stand out in order to acquire individuals with high life forces. The
availability of quality offspring is based on body biochemical compositions of the brood stock.
The composition of fatty acid in the muscle and egg tissues of the brood stock individuals is
an important parameter for quality as well. Fatty acid levels of EPA, DHA and AA in the
muscle and egg content are especially important for the offspring quality (Bulut, 2003). The
fatty acids; DYA, MUFA and PUFA are individually important for the offspring and brood
stock quality and should be evaluated one by one (Bulut, 2003).
The effect of the fatty acid content on the offspring quality is studied in the research. The
seasonal fatty acid change in the muscle tissue of the brood stock is identified.

76 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Material and Methods
Research Field and Material
This research is performed in the Center Irrigation Pond in Yenice District, Çanakkale
Province between the dates July 2007-June 2008. 1842 A. leptodactylus salinus crayfish
caught from the pond are used as material in the test. Literature is used in determining the
type of crayfish (Bott, 1950; Holthius, 1961; Geldiay  Kocataş, 1970; Köksal, 1988)
The Hunting Gears Used
A single-entry fyke net with two venters is used to catch the crayfish samples from the pond.
The fyke net used have 5 frames and a stretch net is put between two fyke nets. The cell width
of the fyke net is 34 mm.
Identification of Physical and Chemical Features of the Water Samples
The warmth, oxygen, pH, salinity and conductivity features of the pond water is evaluated
using YSI Probe (556 MPS) and its calcium and magnesium contents are analyzed in
inductively-matched plasma-atomic emission spectrometry, in Çanakkale Onsekiz Mart
University, Science and Technology Application and Research Center.
Chemical Analysis
In this study, 255 male (mean weight=29.96 g) and 291 female (mean weight=31.04 g) are
used for the chemical analysis. All analyses were performed in triplicate. Analyses of crude
protein, moisture and ash in crayfish were performed according to standard procedures
(AOAC, 2000). Dry matter content of samples was determined by drying at 105 oC until a
constant weight was obtained. Ash content was measured by incineration in a muffle furnace
at 525 oC for 12 h. Crude protein (N*6.25) was analyzed by the Kjedahl method after acid
digestion using the Gerhardt system. Total lipids in the crayfish were extracted according to
the procedure of Floch, Lee  Sloane-Stanley (1957) with chloroform/methanol (2:1 v/v).
The fatty acids in the total lipid were esterified into methyl esters by saponification with 0.5 N
methanolic NaOH and Trans esterified with 14% boron trifluoride-methanol (AOAC, 2000).
Fatty Acid Methyl Esters (FAME) were analyzed using a flame ionization gas chromatograph
(Shimadzu GC-2014) equipped with an Omega wax 250 capillary column (30 mg/l X 0.25
mm internal diameter), a Flame Ionization Detector (FID) and a split injection system with
nitrogen carrier gas. Injector port and detector temperatures were maintained at 250 oC and
260 oC, respectively. The column temperature program was held at 140 oC for 5 min and then
elevated at a rate of 3 oC/ min to 200 oC. Total run time was 60 min per sample. Fatty acids
were identified by comparing their retention times of the standard fatty acid standards (SigmaAldrich Co, USA).

77 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Statistical analysis
All data were subjected to one way analysis of variance (ANOVA) and Duncan multiple
range test using Stat graphics 7.0 version for Windows (Manugistics Incorporated, Rockville,
MD, USA). The results were treated statistically significant at the P&lt;0.05 level.

Results
The physico-chemical water parameter findings acquired from Pond Yenice are displayed in
Table 1. The highest temperature detected in the pond during the field work is 26.8°C in
August; the lowest is 5.7°C in December 2007. The dissolved oxygen values are determined
to be under 8mg/1 in the dates July, September and October 2007; determined to be above
10mg/1 in the dates December 2007, February, March and June 2008. Apart from these, the
pH is 5.5 and the following values displayed a change between these ranges: conductivity
229.1-387.1 μS, Ca 21.06-38.27 mg/l, Mg 6.91-10.47 mg/l. The saltiness (S) levels are
determined to be 0.2 ppt except for the dates July-August 2007 (0.1 ppt).

Table 1.The physico-chemical water parameter findings acquired from Pond Yenice
Tarih

T (°C)

ÇO (mg/l)

pH

EC (μS)

Ca (mg/l)

Mg (mg/l)

S (ppt)

July,2007

28.9

7.65

9.03

279

36.16

9.85

0.1

August,2007

26.8

8.25

8.95

301.2

37.46

10.47

0.1

September,2007

22.1

7.9

8.8

330.2

31.33

9.21

0.2

October,2007

18.2

7.6

8.75

387.1

24

8.41

0.2

November,2007

8.3

8.72

7.14

229.1

23.08

8.11

0.2

December2007

5.7

11.8

8.68

269.5

36.43

9.77

0.2

January,2008

8.2

8.5

8.34

320.1

21.06

8.91

0.2

February,2008

9.1

10.2

7.86

344.6

24.43

8.02

0.2

March,2008

9.6

12.85

9.03

382.3

38.27

7.88

0.2

April,2008

13.9

9.53

6.11

311.6

23.85

6.91

0.2

May,2008

15.9

9.02

5.5

265.8

34.31

7.44

0.2

June,2008

22.4

10.69

6.85

234.5

36.5

8.11

0.2

The changes in the crude protein and fat compositions in the muscle tissues of the male and
female individuals of A. leptodactylus species acquired from Pond Yenice are displayed in
Table 2. While the lowest amount of crude protein (respectively 11.78 – 13.09 units) of both
male and female individuals is observed in the samples taken in November, the highest
amount (respectively 15.68 – 17.59 units) in both individuals is determined in the samples
taken in June. While the monthly difference in the samples taken from male individuals in
May and June are seen significant, it is determined that this difference is significant for the
females in the months April, May and June (P&lt;0.05). While the monthly change in the fat
compositions of male individuals are seen significant only in June, the fat changes are
significant for the female individuals in November, April and June (P&lt;0.05). In the study, the
interaction between male and female individuals is evaluated.

78 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Table 2. Biochemical composition of muscle tissues of Freshwater crayfish (A. leptodactylus)
November
January
March
April
May
June

Crude Protein
11.78a
12.06a
13.45ab
13.86ab
14.06b
15.68c

Male
Fat
3.29a
4.63ab
4.08ab
3.78ab
4.66ab
4.95b

Ash
0.91a
1.45ab
1.13ab
1.33ab
1.59ab
1.32b

Crude Protein
13.09a
14.23a
15.35ab
16.47b
17.12b
17.59b

Female
Fat
3.67a
4.28ab
4.00ab
4.72b
4.50ab
5.82c

Ash
1.03
1.58
1.74
1.57
1.36
1.25

Lower-case letters indicate differences in the same column
The fatty acid changes in the muscle tissues of the male individuals of the crayfish that were
acquired in the breeding season are shown in Table 3, the fatty acid changes in the muscle
tissues of the female individuals are shown in Table 4. While the C14:0 fatty acid is found
significantly high in November (1.16%) and in April (1.32%) in male individuals, this
difference is found significant for the female individuals only in November (1.13%) (P&lt;0.05).
The amount of C15:1 fatty acid is determined to have a remarkable increase in June (2.28%)
for the male individuals and in April (2.87%) for the female individuals. While the difference
in the C16:0 fatty acid composition in April (16.22%) is observed to be significant only for
the male individuals, this difference is not significant for the females (P&lt;0.05). While the
changes in the C16:1 fatty acid is found significantly high in January (4.28%) for the male
individuals and in April (7.34%) for the female individuals (P&lt;0.05).
Table 3. Variation in fatty acid compositions of muscle tissues of male Freshwater crayfish (A.
leptodactylus) (%)
Fatty Acids
C14:0 (Myristic)
C14:1 (Myritoleic)
C15:0 (Pentadecanoic)
C15:1 (cis-10-Pentadecenoic)
C16:0 (Palmitic)
C16:1 (Palmitoleic)
C17:0 (Heptadecanoic)
C17:1 (cis-10-Heptadecenoic)
C18:0 (Stearic)
C18:1n9c (Oleic)
C18:1n7
C18:2n6
C18:3n6 (g-Linoleic)
C18:3n3 (a-Linoleic)
C18:4n-3
C20:0 (Arachidic)
C20:1n9 (cis-11-Eicosenoic)
C20:2 (cis-11,14-Eicosadienoic)
C20:3n3 (cis-11,14,17-Eicosatrienoic)
C20:4n6 (Arachidonic)
C20:5n3 (cis-5,8,11,14,17-Eicosapentaenoic)
C22:0 (Behenic)
C22:1n9 (Erucic)
C22:2 (cis-13,16-Docosadienoic)
C23:0 (Tricosanoic)
C22:5n3
C22:6n3 (cis-4,7,10,13,1619-Docosahexaenoic)

Male
November
1.16b
0.16
0.53
1.23a
15.97ab
2.62a
0.87
1.08
7.93
18.30ab
4.29
7.03
0.30
0.96
0.19
0.41
1.34
1.45
7.09ab
0.30
18.40
0.27
0.25
1.78ab
0.19
0.75ab
4.70a

January
0.78ab
0.21
0.77
1.73a
14.57ab
4.28b
0.79
0.91
6.14
18.22ab
5.04
5.63
0.31
0.82
0.26
0.51
1.13
1.98
8.22b
0.35
17.28
0.50
0.22
1.13a
0.31
0.88ab
7.01b

March
0.52a
0.18
0.81
1.72ab
14.22ab
3.57ab
0.75
1.29
5.81
17.45ab
4.27
6.35
0.26
0.84
0.36
0.23
0.47
2.15
9.20b
0.56
18.10
0.44
0.24
0.77a
0.33
1.18b
7.86b

April
1.32b
0.19
0.83
1.50ab
16.22b
3.95ab
0.87
1.01
7.02
19.43ab
4.45
5.08
0.30
0.70
0.19
0.58
1.81
2.07
9.50b
0.28
13.52
0.32
0.20
1.50ab
0.35
0.75ab
5.85ab

May
0.54a
0.19
0.36
1.64ab
13.65a
3.81ab
0.83
0.85
8.23
26.30b
5.16
6.25
0.41
0.60
0.23
0.55
0.42
1.23
5.87a
0.41
12.26
0.68
0.23
4.16b
0.48
0.53a
4.43a

June
0.63a
0.19
0.63
2.28b
15.61ab
3.47ab
0.83
1.03
6.83
15.85a
4.00
6.44
0.26
0.70
0.25
0.26
1.06
2.01
9.13b
0.48
19.42
0.35
0.19
1.25a
0.55
0.79ab
5.44ab

Lower-case letters indicate differences in the same column.
79 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Table 4. Variation in fatty acid compositions of muscle tissues of female Freshwater crayfish
(A. leptodactylus) (%)
Female
Fatty Acids
C14:0 (Myristic)
C14:1 (Myritoleic)
C15:0 (Pentadecanoic)
C15:1 (cis-10-Pentadecenoic)
C16:0 (Palmitic)
C16:1 (Palmitoleic)
C17:0 (Heptadecanoic)
C17:1 (cis-10-Heptadecenoic)
C18:0 (Stearic)
C18:1n9c (Oleic)
C18:1n7
C18:2n6
C18:3n6 (g-Linoleic)
C18:3n3 (a-Linoleic)
C18:4n-3
C20:0 (Arachidic)
C20:1n9 (cis-11-Eicosenoic)
C20:2 (cis-11,14-Eicosadienoic)
C20:3n3 (cis-11,14,17-Eicosatrienoic)
C20:4n6 (Arachidonic)
C20:5n3 (cis-5,8,11,14,17Eicosapentaenoic)
C22:0 (Behenic)
C22:1n9 (Erucic)
C22:2 (cis-13,16-Docosadienoic)
C23:0 (Tricosanoic)
C22:5n3
C22:6n3 (cis-4,7,10,13,16,19Docosahexaenoic)

November
b

January
a

March
a

April

May

a

a

June

1.13
0.19
0.58
1.59ab
15.46
2.40a
0.81
1.00
7.85
18.18ab
4.25
7.00
0.30
0.91
0.19
0.51
1.30ab
1.45
7.15ab
0.30

0.84
0.15
0.74
1.55ab
13.31
3.28a
0.73
1.12
7.04
20.39ab
4.42
5.41
0.30
0.77
0.22
0.55
0.93ab
2.22
11.11b
0.36

0.88
0.21
0.75
1.72ab
14.44
3.63a
0.89
1.02
7.80
19.10ab
4.39
5.80
0.39
0.72
0.25
0.26
0.52a
2.16
10.50b
0.51

0.84
0.22
0.89
2.87b
17.92
7.34b
0.68
1.05
6.21
17.13a
4.40
7.00
0.30
0.71
0.27
0.48
0.96ab
1.65
5.91a
0.41

0.53
0.20
0.43
1.33a
13.53
3.49a
0.90
0.99
8.42
24.03b
4.94
6.02
0.43
0.90
0.22
0.59
1.74b
1.76
6.57a
0.31

0.68a
0.12
0.59
1.80ab
15.01
3.46a
1.01
0.97
8.16
21.60b
4.25
5.25
0.30
0.86
0.26
0.57
2.08b
1.88
7.28ab
0.37

18.31b

17.20ab

16.34ab

16.82ab

15.21a

15.24a

0.39
0.23
1.69ab
0.29
0.71

0.29
0.22
0.81a
0.49
0.69

0.38
0.28
0.81a
0.49
0.65

0.51
0.23
0.85a
0.28
0.77

0.49
0.31
1.18ab
0.58
0.67

0.52
0.23
2.12b
0.36
0.60

4.59

4.36

5.09

3.15

4.26

4.51

Lower-case letters indicate differences in the same column.
The difference in the C18:1n9c fatty acid is significant in May (24.03%) and June (21.60%)
for the female individuals, while it is significant only in May (26.30%) for the male
individuals (P&lt;0.05). While the difference in the C20:1n9 fatty acid compositions are
significant in May (1.74%) and in June (2.08%) only for the female individuals, this
difference is not significant for the males (P&lt;0.05). The difference in the C20:3n3 fatty acid
compositions is significant in January (8.22%), March (9.20%) and June (9.13%), the
difference is determined significant in January (11.11%) and in March (10.50%) for the
females compared to other months (P&lt;0.05). The difference in the C20:5n3 fatty acid amount
is significant in November (18.31%) only for the females, this difference is not significant for
the males (P&lt;0.05). The difference in the C22:2 fatty acid is found significantly high in May
(4.16%) for the males and in June (2.12%) for the females (P&lt;0.05). The difference in the
C22:5n3 and C22:6n3 fatty acid compositions is significant in respectively March (1.18%),
January (7.01%), March (7.86%) for the male individuals, this difference is not found
significant in the female individuals. It is seen that the monthly difference between the other
fatty acids researched is insignificant for both male and female individuals (P&lt;0.05).

80 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Figure 1. The values of DYA%, MUFA% and PUFA% for the male individuals.

Figure 2. The values of EPA, DHA and AA for the male individuals.
For the male individuals, the values of DYA%, MUFA% and PUFA% in Figure 1, the values
of EPA, DHA and AA are shown in Figure 2. For the female individuals, the values of
DYA%, MUFA% and PUFA% in Figure 3, the values of EPA, DHA and AA are shown in
Figure 4.

81 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Figure 3. The values of DYA%, MUFA% and PUFA% for the female individuals.

Figure 4. The values of EPA, DHA and AA for the female individuals.

82 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Discussion
The levels of fat and protein determine the adaptation character and strategy of a living being
(Vonk, 1960). The levels of fat and protein are effected by many biotic (maturation, breeding
and bait suitability) and abiotic (photoperiod, warmth, pH and dissolved oxygen) factors
(Vonk, 1960).
The crude protein and fat contents in the muscle tissue have constantly increased in the test
during the time of research. The cause for this increase that appeared over time could be the
seasonal changes seen in the bait diversity in pond Yenice. While filament green algae
(Cladophora) and plant wastes become dominant in fall and winter, maggots and fishes are
also seen alongside with algae and plant wastes in spring and summer (Türel  Berber, 2013).
Therefore, it might be assumed that plant wastes and Cladophora in fall and winter and
maggots and fishes in the following period might have been consumed. The nutrition acquired
through these resources is sent to the muscle that works as storage for the fats and protein
through blood and to hepatopancreas after being digested (Vonk, 1960).
Every living being require an optimum level of temperature in order to survive. When the
temperature drops lower than this optimum level and/or rises above it, the metabolic activities
of these living beings slow down and thus their energy consumption decreases (BOFC). Such
effects of the temperature might possibly be another reason for the increase in the crude
protein and fat levels over time. Because the value of optimum temperature for the A.
leptodactylus species is 4-22 ºC. The average water temperature in fall and winter in Pond
Yenice, on the other hand, are determined to be respectively 16.2ºC and 7.6 ºC in the studies
by Berber, S. As the water temperatures of both periods are below the optimum value for the
survival of the crayfish, the metabolic activities would slow down and accordingly, there will
be a decrease in the energy consumption. As a result of accumulation of surplus of protein and
fat in the muscle tissue due to such effects of the temperature, such an increase might have
happened over time. The water temperatures in spring and summer in the pond are evaluated
as respectively 15.3 ºC and 25.3 ºC. Along with the increase in the temperatures, there will be
acceleration in the metabolic activities and an increase in the energy consumption. The reason
for the increase of protein and fat components might be that the bait diversity improves as the
temperature rises and thus the living beings that carry relatively more protein and fat than the
algae and plant wastes, such as maggots and fishes, are consumed (Lowery, 1988). There is an
increase in the fat content in the seasonal muscle of the crayfish from November to June. This
is all related to the nutrition and temperature in the pond and it shows a routine increase and
decrease except for the gonad development period.
The period between November and June is the breeding season for the A. leptodactylus
species. Therefore, vitellogenesis, gonad development period and gamete generation, seen in
this period depending on the time, might have caused the biochemical structure of the being to
change. Because proteins and fats are the structural compounds and energy resources of the
embryonic tissues (Vonk, 1960). Hence, the proteins and fats in the storage organs
(hepatopancreas and adiposis) are constantly transferred to the gonad (Güner  and
Mazlum,( 2010); Harlıoğlu, Cakmak, Köprücü, Aksu, Harlıoğlu,Yonar, Çakmak, Özcan, 
Gündoğdu,(2013)). The Gonadosomatic and Hepatosomatic indexes gain importance since
there is a constant transfer of protein, fat and energy from the hepatopancreas to the gonad.
When the relation between these two is in inverse ratio, it means that the individual reaches
maturity and protein, fat and energy are transferred to the gonad (Güner and Mazlum, 2010).
In a research performed on the C. quadricarinatus species, it is determined that there is an
increase in the protein composition in the gonad as a result of transfer of energy from
hepatopancreas to the gonad and the oocytes through endocytosis in the gonad (Abdu, Davis,
83 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Khalaila &amp; Sagi, 2002). It is obviously seen that vitellogenesis that happens during the
hepatopancreas breeding season is the primary source of energy, protein and fat which are
essential for the gamete generation and gonad development. If one considers that
hepatopancreas fulfills the needs in this period and the increase in the protein and fat amounts
in the muscle tissues, one might think that breeding has no effect whatsoever on this increase
over time. In this study, the amounts of ash, fat and crude protein decrease in the cold periods
and increase in accordance with the increase of nutrition variety with the temperature.
However, there is a decrease in the breeding season and during the gonad generation. To
increase the survival rate of the offspring acquired at this period, brood stocks should be fed
with nutritionally rich food. In a comparison between the male and female brood stocks, the
fat and protein levels of the females are determined to be the higher. The reason for this is that
the living being always feels the need to store the energy since the gonad generation continues
throughout the year for the females. All vertebrates need polyunsaturated fatty acid (PUFA).
If this need is not fulfilled, there might be some deficiencies in reproduction, development
and growth. Almost all of the vertebrates need linolenic and linolenic fatty acids. The
effective form of the PUFA is generally C20 and C22. Metabolic forms are in the form of;
linolenic acid, linoleic acid, arachidonic acid and docosahexaenoic acid. The various
deviations (linolenic, stearidonic, docosapentanoic acids) of n-3 series fatty acids in the
vertebrates occur as a result of the biological activities of docosahexaenoic and
eicosapentaenoic fatty acids. This situation is more apparent with the fresh-water living
beings (Sargent et al. 1989). In this study, it is determined that the PUFA amount in the
muscle is higher compared to HUFA and DYA. This could be a sign that the crayfish species
used in this study might have a high performance of growth, development and reproduction.
Like in the biochemical composition, the amount of PUFA of female individuals is
determined to be higher than the male individuals. This is considered to occur because the
females need more PUFA due to the gonad generation. EPA rate for the male individuals
from November to June, decreased in April and May and then it stayed around the same level.
On the other hand, a decrease from November to June is observed with the females. This
could be explained with the breeding season and that the gonad generation period has
advanced.
Investigating the DHA rates, it is seen that the male individuals had an increase in January
and March, a decrease in May and an increase starting from June. This is considered to be
about the temperature and the nutrition regime of the male brood stock. DHA is seen less with
the females compared to the males and it decreased to its lowest level in April and then stayed
the same. This makes us think that DHA has no direct effect on reproduction. It is seen that
the AA amount is at the highest level in March, the minimum level in April and that it rises
again. Unlike the males, females have their maximum in March and April and then a decrease
and an increase afterwards. It could clearly be seen that the arachidonic acid has no direct
effects on reproduction. Bulut, (2003) suggested that EPA, DHA and AA are much more
significant in the researches he made about the egg quality and survival rates of some
saltwater fish. The fatty acids stated in our study also show seasonal changes according to the
breeding season. It is determined that this change is about reproduction. MUFA is at its
maximum values in April and May and it stayed as normal in the other months for both males
and females. DYA, however, is identified less in the muscle compared to MUFA and PUFA
and there is not much seasonal difference between the male and female individuals. Bulut,
(2004) in the research he made on the egg quality and biochemical features of sea bass and
bream, stated that compared to MUFA and DYA, PUFA is more significant. The results show
that PUFA, compared to the other fatty acids, is more significant in terms of reproduction and
development for the crayfish as well.

84 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

As a result, the biochemical composition of the living beings and contents are great signs of
continuity and quality of life. The quality of offspring and brood stocks might be improved
using the amounts and rates. This study is quite significant as it forms the structure of future
researches.
Acknowledgements
This study is partially supported by the project titled as "The comparison of Bio-Ecological
and morphometric features of the crayfish (Astacus leptodactylus Eschscholtz, 1823)
population of Yenice Central Irrigation Pond (Çanakkale)" numbered 2007/47.
References
Abdu. V., C. Davis, I. Khalaila &amp; A. Sagi. (2002). The vitellogenin cDNA of Cherax quadricarinatus encodes a
lipoprotein with calcium binding ability and its expression is induced following the removal of the androgenic
gland in a sexually plastic system. Gen. Comp. Endocrinol. 127: 263-272.
AOAC, (2000). Oﬃcial methods of analysis of AOAC International, (17th ed.), Gaithersburg, MD, USA:
AOAC.
Berber, S., Yıldız, H., Ateş, A.S., Bulut, M., &amp; Mendeş, M. (2010). A Study on the Relationships between Some
Morphological and Reproductive Traits of the Turkish Crayfish, Astacus leptodactylus (Eschscholtz, 1823)
(Crustacea: Decapoda), Reviews in Fisheries Science, 18 (1): 131-137.
Bolat, Y. (2001). Eğirdir Gölü Hoyran Bölgesi Tatlısu İstakozları (Astacus leptodactylus Esch., 1823)’nın
Populasyon Büyüklüğünün Tahmini. Doktora Tezi Danışman Aksoylar, MY, Süleyman Demirel Üniversitesi
Fen Bilimleri Enst. Temel Bilimler Bölümü, Isparta.
Bott R. (1950). Die Flußkrebse Europas (Decapoda: Astacidae). Abhandlungen der Senckenbergischen
Naturforschenden Gesellschaft, 483.
Bulut, M. (2003) Levrek (Dicentrarchus labrax) ve Çipura (Sparus aurata), Yumurtalarının Biyokimyasal
Kompozisyonu. E.U.Journal of Fisheries &amp; Aquatic Sciences. Vol 21 (1-2) 129-132.
Bulut M. (2004). Levrek (Dicentrarchus labrax L., 1758) ve Çipura (Sparus aurata L., 1758) Yumurtalarının
Biyokimyasal Kompozisyonu. Journal of Fisheries &amp; Aquatic Sciences Cilt/Volume 21, Sayı/Issue (1-2): 129 –
132.
Folch, J., Lee, M., &amp; Sloane Stanley. G. H. (1957). A simple method for isolation and purification of total lipids
from animal tissue. J. Biol. Chem. 226: 497-509.
Geldiay, R., &amp; Kocataş A. (1970). Taxonomical Determination and Distribution of Turkish Astacus (Decapoda)
Populations (In Turkish). E. Ü. Fen Fak. İlmi Raporlar Serisi 94: 3-7.
Guan, R., &amp; Wiles, R.P. (1998). Feeding ecology of the signal crayfish Pacifastacus leniusculus in a British
lowlandriver. Aquaculture, 169, 177-93.
Güner, Ö., &amp; Mazlum, Y. (2010). Farklı protein seviyelerindeki dietlerinin yavru tatlı su kerevitlerinin (Astacus
leptodactylus Eschscholtz, 1823) büyüme, yaşama oranları ve vücut kompozisyonları üzerine etkileri (in Turkish
with English abstract). Süleyman Demirel Üniversitesi Eğirdir Su Ürünleri Fakültesi Dergisi, 6(2):1-10.
Harlıoğlu M.M. (2004). The present situation of freshwater crayfish, Astacus leptodactylus (Eschscholtz, 1823)
in Turkey. Aquaculture 230:181–187.
Harlıoğlu M.M. &amp; Güner U. (2006). Studies on the recently discovered crayfish, Austropotamobius torrentium
(Shrank, 1803), in Turkey: Morphological analysis and meat yield. Aquaculture Research 37: 538-542.
Harlıoğlu, M.M., Cakmak, M.N., Köprücü, K., Aksu, Ö., Harlıoğlu, A.G., Mine Yonar, S., Çakmak Duran, T.,
Özcan, S. &amp; Gündoğdu, H. (2013). “The Effect Of Dietary N-3 Series Fatty Acids On The Number Of Pleopadal

85 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

Egg And Stage 1 Juvenile In Freshwater Crayfish, Astacus leptodactylus Eschscholtz”. Aquaculture Research,
Doi:10.1111/J.1365-2109.2012.03090.X, 44. 860-868.
Holthius, L. B. (1961). Report on a Collection of Crustacea and Stamotopoda from Turkey and the Balkans,
Zool. Verhandelungen, No: 47, 1-67.
Köksal, G. (1988). A. leptodactylus in Europe. In: Freshwater Crayfish: Biology, Management and Exploitation (
D.M. Holdich and R.S. Lowery), Croom Helm Press, pp. 365-400.
Lowery R.S. (1988). Growth, moulting and reproduction In: Holdich DM and Lowery RS (eds). Freshwater
crayfish: biology, management and exploitation. Croom Helm, London, 83–113.
Sargent, J., R.J. &amp; Henderson &amp; Tocher D. R. (1989). The lipids, p. 153-218. In J.E. Halver (Ed.), Fish nutrition
and Academic Press, New York.
Türel, S., &amp; Berber, S. (2013). Kalsiyum İçerikli Yemlerin Tatlısu İstakozları (Astacus leptodactylus
Eschscholtz, 1823) 'nin Büyüme Performansına Etkisi, 3. Ulusal Alabalık Sempozyumu, Kastamonu
Üniversitesi, Su Ürünleri Fakültesi, 24-26 Mayıs.
Vonk, H.J. (1960). Digestion and metabolism. In: The Physiology of Crustacea Vol. I, pp. 291-316. Ed.
Waterman T H. Academic Press, New York.

86 | P a g e

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5144">
                <text>2488</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5145">
                <text>THE CHEMICAL COMPOSITION OF THE CRAYFISH  (Astacus leptodactylus) IN POND YENICE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5146">
                <text>TUREL, Selcuk
BERBER, Selcuk
YILMAZ, Sevdan</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5147">
                <text>The changes in the compositions of crude protein, fat and fatty acid in the muscle tissues of  male and female samples of Astacus leptodactylus acquired by hunting in the dates between  November 2007 and June 2008 which is the breeding season for the crayfish from Pond  Yenice which is used for irrigation in Çanakkale province, Turkey, are examined in the study.  Whereas the amount of crude protein in male samples is around 11.78-15.68%, it is identified  that the amount is around 13.09-17.59% with the female samples. Fat changes from 3.29-  4.95% for the male samples, 3.67-5.82% with the female samples. It is observed that there is a  continuous increase in the compositions of crude protein and fat generally through the  beginning and the end of the sampling period. The amounts of EPA, DHA and AA show  change according to the breeding season and season.  Keywords: Astacus leptodactylus, Fatty acids, Crude protein, Lipid, Seasonal change.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5148">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5149">
                <text>2014-05-15</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5150">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5151">
                <text>ISSN 978-9958-834-36-3     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="76">
        <name>Q Science (General),QH301 Biology,QH426 Genetics</name>
      </tag>
    </tagContainer>
  </item>
  <item itemId="649" public="1" featured="0">
    <fileContainer>
      <file fileId="642">
        <src>https://omeka.ibu.edu.ba/files/original/bb38d4ecda5b3ea7ddb095d1483eb868.pdf</src>
        <authentication>155c4e70e75424a49de0e94154cadd04</authentication>
        <elementSetContainer>
          <elementSet elementSetId="4">
            <name>PDF Text</name>
            <description/>
            <elementContainer>
              <element elementId="52">
                <name>Text</name>
                <description/>
                <elementTextContainer>
                  <elementText elementTextId="5143">
                    <text>PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

DETERMINATION OF FIBROSIS SCORE IN THE VENTRICULAR ARTER BY
USING IMAGE PROCESSING TECHNIQUES ON HISTOPATHOLOGICAL
IMAGES
Dilek Sönmezer1, Yasemin Benderli Cihan2, Fatma Latifoğlu3
1

Çukurova University, Faculty of Engineering and Architecture
Department of Biomedical Engineering
Adana, Turkey
dsonmezer@cu.edu.tr
2
Department of Radiation Oncology
Kayseri Education and Research Hospital
Kayseri, Turkey
cihany@erciyes.edu.tr
3
Erciyes University, Faculty of Engineering
Department of Biomedical Engineering
Kayseri, Turkey
flatifoglu@erciyes.edu.tr

ABSTRACT
Histopathological image analysis is an important area for pathological image analysis and
diagnosis in medicine. Among cancer patients, radiotherapy is widely used for treatment
modality. The aim of the radiotherapy is giving maximum dose to tumor tissue as well as
maintaining normal tissue unaffected as possible. The increase of the radiation dose is parallel
with local tumor control. However, risk of complication of normal tissue is also increased.
Thus, controlling of the tumor depends on the normal tissue tolerant. In this study, we aim to
support radiologists to detect and control radiation dose and its effects for the radiotherapy.
Determining of the ventricular artery thickness by using image processing techniques can give
information about radiation effects and dose. Using by image processing techniques,
adventitia layer which of cardiac vessel layer thickness is measured. For this measurement,
whole cardiac histopathological RGB image is cropped and studies are applied on this image.
Then RGB image is converted to grayscale image and after converted the binary image.
Adventitia layer is detected with edge detecting method. After segmentation of the adventitia
layer, this layer thickness is measured to show effects of the radiation dose. Thus, with this
study an optimal radiation dose can be adjusted according to the increase of the adventitia
thickness.
Keywords: Histopathological images; cardiac tissue; radiotheraphy; fibrosis

153 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

INTRODUCTION
Histopathological image analysis is important for getting good results on therapy.
In this study, we aim to support radio therapist to detect radiological effects in cancer
treatment. Treatment of radiation is used to kill cancer cells or to stop of cancer cells
proliferation. At that time, determination of radiation dose limits depending on the layer of
vessel wall can be a new approach in cancer treatment. Radiation damages the vessel wall,
especially causes vessel wall fibrosis. Thus, radiation dose and its application are important
for human health.
Image processing techniques for diagnosis of diseases are widely applied in medicine [1, 2].
Fibrotic Myocardial Tissue Mechanics, classification of cervical cancer, diagnosis of prostate
cancer, morphological analysis of carotid artery plaque and a study related with coroner artery
and many more studies about histopathological image analysis are present in literature [3-7].
Image processing techniques also used in enhancement of vessels on angiography images. [8].
Response of arterial injury is determined based on adventitia of artery wall layer [9].
Thickness of the adventitia layer increases with the increment of the arteriosclerosis [12].
Radiotherapy is usually used for treatment of cancer disease, but also late side effects which
depends on radiation therapy become crucially important [10]. Toxicological effects on the
cardiovascular system are resulted from radiotherapy used for treatment breast cancer. [Mc
Chesney SI, Rad Res, 1991; 125].
The aim of this study is to investigate whether the use of radiotherapy (RT) has a contribution
to the development of radiation fibrosis in the heart.
MATERIAL AND METHODS
In this study, experimental studies were conducted in Erciyes University Faculty of Medicine
Hakan Çetinsaya Experimental and Clinical Research Center (DEKAM) after ethical aproval
from the Animal Experiments Local Ethics Committee of Erciyes University Faculty of
Medicine. Twenty healthy female Wistar Albino rats aged 8 weeks and weigthing 213±27
grams were used in the study. The rats were kept under standard laboratory conditions (12:12hour light/dark cycle at 25±3 oC) and fed with standard commercial pelleted feed. The rats
were divided into 2 groups with 10 animals in each group. The groups were designed as
follows:
Group C: The control group. No treatment was administered. The animals were followed
under similar conditions as the other animals.
Group RT: The radiotherapy-only group. The thoracic region was irradiated while the
animals were under anesthesia.
Histopathological examination: Samples were taken from various regions of heart that were
fixed in formalin. Following paraffin blocking procedure, serial cross-sections of 5 microns
were obtained. They were stained with hematoxylin-eosin. Mean of the fibrosis scoring was
obtained for the heart vessel of each rat. The fibrosis score was numerically assessed based on
values from 0 to 4. The scoring system for the intensity of fibrosis is as follows:
Score 0: No fibrosis or minimal fibrosis in the vessel wall.
Score 1: Moderate fibrosis that does not cause marked structural damage on the heart.
154 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

Score 2: Increased fibrosis with definite damage to heart vessel and formation of fibrous
bands or small fibrous masses.
Score 3: Fibrosis that causes severe distortion in the heart vessel and that has large fibrous
areas.
Score 4: Total fibrosis.
The rats were divided into two equal groups as follows: Group C: control and Group RT: RT
only. RT was administered heart region in a single fraction at a dose of 12 Gy using a Co–60
device. At the end of 24 weeks, the rats were sacrificed after sedation. The heart was
removed and blocked in paraffin. After H&amp;E staining, the level of fibrosis in each crosssection was assessed with the help of a scale. Histopathological images were obtained from
vessels, which showed late toxic effect on the heart. Histopathological tissue preparats of
cardiac vessel were used for imaging. These cardiac tissues were locally applied radiotherapy
on healthy rats. Leica microscope together with Olympus 3.2 Megapixel, C-3020 200m
camera was used for routine inspections.
Histological image dataset was cinsists of 10 image slides. Our approach proposes measuring
the adventitia thickness in order to understand effects of the radiation therapy. Methods for
measuring adventitia thickness were combined with image processing techniques. Firstly,
RGB image of the histopathological image was converted to gray-level image. After that,
optimal thresholding was carried out by Otsu method to create a binary image. Then,
mathematical morphology operations were used to obtain adventitia layer. The proposed
approach is based on measuring of the adventitia layer by segmenting of this layer on
histopathological images. Obtaining an average of the adventitia thickness of two images was
used to show effects of the radiotherapy.
Figure 1. shows the microscopic image of the vessel of the rat at 600x magnification. In this
image low radiation dose was applied to rat cardiac. Segmentation of the outer layer is seen as
blue color (Fig. 1).
In Fig. 1.A, histopathological preparats were imaged via light microscopy at 600x
magnification. RGB image was cropped in order to show the related part of the vessel area in
figure 1.B. Then, RGB image was converted to grayscale image and after that obtained
grayscale image is converted to binary image as seen in figure 1.D. Vessel adventitia layer
was detected with Sobel edge detection method (Fig. 1.E). Taking complementation of the
edge was detected image and showed it on grayscale vessel image and RGB image (Fig. 1.G).
Finally, adventitia layer was measured with using five points on the layer of the distance
between outer and inner surfaces (Fig. 1.I).
RESULTS AND DISCUSSIONS
Radiotherapy is an important treatment for breast cancer and any other kinds of cancers
diseases. Because of the side effects of the radiation can generate problems on cardiac tissue.
Due to the success of mammography in early diagnosis and the advances in chemotherapy and
radiotherapy, breast cancer is a type of cancer whose treatment techniques is changing rapidly
and can be combined also. A multimodal treatment that includes surgery, radiotherapy,
chemotherapy, and hormonotherapy is used in the treatment of breast cancer. After surgery,
patients are initially treated with chemotherapy and then undergo RT. Although the optimal
sequence of chemotherapy and RT is still controversial, the generally accepted approach is RT
after chemotherapy is completed. It is still unclear whether hormonotherapy should be used
sequentially or concurrently with RT.
155 | P a g e

�ISSD 2014

th

The 5 International Symposium on Sustainable Development_______

PROCEEDINGS

For detection of the radiation toxicological effects on the cardiac vessels are examined with
proposed method in healthy but applied radiation to rats. Therefore, an optimal dose of the
radiation can be applied according to vessel damaged score. In this study, we aim to measure
just adventitia layer using by histopathological vessel images.

Fig. 1 Adventitia layer segmentation and measuring flowchart.
156 | P a g e

�PROCEEDINGS

th

______ The 5 International Symposium on Sustainable Development_______

ISSD 2014

REFERENCES
[1]

KCA Sneeuw, NK Aaronson, JR Yarnold, M Broderick: Cosmeic and functional outcomes of breast
conserving treatment for early stage breast cancer. 1. Comparison of patients ratings, observers’ ratings and
objective assasments. Radiat and Oncology, 1992; 25:153-159.

[2]

Al-Ghazal SK, Blamey RW, Stewart J, Morgan AA: The cosmetic outcome in early breast cancer treated
with breast conservation. Eur. J. Surg. Oncol; 1999;25:6:566-70.

[3]

L. Cordero-Grande, T. Sevilla, A. Revilla, M. Martín-Fernández and C. Alberola-López. "Assessment of the
Fibrotic Myocardial Tissue Mechanics by Image Processing". Proceedings of the IEEE Computing in
Cardiology Conference (accepted for publication), Zaragoza (Spain), Sep. 2013.

[4]

Rahmadwati, G. Naghdy, M. Ros, C. Todd &amp; E. Norachmawati, "Classification cervical cancer using
histology images," in International Conference on Computer Engineering and Applications, 2010, pp. 515519.

[5]

E.C. Kyriacou, C.S. Pattichis, M.S. Pattichis, C.P. Loizou, C.I. Christodoulou, S.K. Kakkos, and A.N.
Nicolaides, "A Review of Noninvasive Ultrasound Image Processing Methods in the Analysis of Carotid
Plaque Morphology for the Assessment of Stroke Risk", IEEE Transactions on Information Technology in
Biomedicine, vol. 14, issue 4, pp. 1027-1038, July 2010

[6]

S. Balocco, C. Gatta, M. Alberti, X. Carrillo, J. Rigla, P. Radeva, "Relation between plaque type, plaque
thickness, blood shear stress and plaque stress in coronary arteries assessed by X-ray Angiography and
Intravascular Ultrasound", Med Phys 39(12):7430-45 (2012), PMID 23231293

[7]

S. Verma, A. Rajesh, AJR Am J. Roentgenol, A clinically relevant approach to imaging prostate cancer,
2011 Mar;196(3 Suppl):S1-10 Quiz S11-4. Review.

[8]

P. Tran Ho Truc, Md. A. U. Khan, Y. Lee, S. Lee, T. Kim: Vessel enhancement filter using directional filter
bank.Computer Vision and Image Understanding 113(1): 101-112 (2009)

[9]

M. Jean-Baptiste, T. Olivier, H. Xavier, M. Olivier, C., Giuseppina, N. Antonino, 2000: Topological
determinants and consequences of adventitial responses to arterial wall injury. Arteriosclerosis Thrombosis
and Vascular Biology 27(6): 1259-1268

[10]

Perez CA, IJROBP,1998,44:855 Lanciano RM, Cancer,1992,69:2124 Pollack A, IJROBP, 2002, 53:1097

[11]

G. Rioufol, M. Elbaz, O. Dubreuil, A. Tabib, G. Finet, Adventitia measurement in coronary artery: an in
vivo intravascular ultrasound study, Heart. 2006 July; 92(7): 985–986.

157 | P a g e

�</text>
                  </elementText>
                </elementTextContainer>
              </element>
            </elementContainer>
          </elementSet>
        </elementSetContainer>
      </file>
    </fileContainer>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="79">
            <name>Extent</name>
            <description>The size or duration of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5135">
                <text>2504</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5136">
                <text>DETERMINATION OF FIBROSIS SCORE IN THE VENTRICULAR ARTER BY  USING IMAGE PROCESSING TECHNIQUES ON HISTOPATHOLOGICAL  IMAGES</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="96">
            <name>Author</name>
            <description>Author</description>
            <elementTextContainer>
              <elementText elementTextId="5137">
                <text>SONMEZER, Dilek
CIHAN, Yasemin B.
LATIFOGLU, Fatma</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="94">
            <name>Abstract</name>
            <description>A summary of the resource.</description>
            <elementTextContainer>
              <elementText elementTextId="5138">
                <text>Histopathological image analysis is an important area for pathological image analysis and  diagnosis in medicine. Among cancer patients, radiotherapy is widely used for treatment  modality. The aim of the radiotherapy is giving maximum dose to tumor tissue as well as  maintaining normal tissue unaffected as possible. The increase of the radiation dose is parallel  with local tumor control. However, risk of complication of normal tissue is also increased.  Thus, controlling of the tumor depends on the normal tissue tolerant. In this study, we aim to  support radiologists to detect and control radiation dose and its effects for the radiotherapy.  Determining of the ventricular artery thickness by using image processing techniques can give  information about radiation effects and dose. Using by image processing techniques,  adventitia layer which of cardiac vessel layer thickness is measured. For this measurement,  whole cardiac histopathological RGB image is cropped and studies are applied on this image.  Then RGB image is converted to grayscale image and after converted the binary image.  Adventitia layer is detected with edge detecting method. After segmentation of the adventitia  layer, this layer thickness is measured to show effects of the radiation dose. Thus, with this  study an optimal radiation dose can be adjusted according to the increase of the adventitia  thickness.  Keywords: Histopathological images; cardiac tissue; radiotheraphy; fibrosis</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="5139">
                <text>International Burch University</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="5140">
                <text>2014-05-15</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="97">
            <name>Keywords</name>
            <description>Keywords.</description>
            <elementTextContainer>
              <elementText elementTextId="5141">
                <text>Article
PeerReviewed</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="5142">
                <text>ISSN 978-9958-834-36-3     </text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
    <tagContainer>
      <tag tagId="76">
        <name>Q Science (General),QH301 Biology,QH426 Genetics</name>
      </tag>
    </tagContainer>
  </item>
</itemContainer>
