340 10 3494 https://omeka.ibu.edu.ba/files/original/210c629d43717e2d6d5dd2faf7be94c1.pdf a711d11602059ac338f956e5904cebe2 Dublin Core 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/. Title A name given to the resource Journal of Natural Sciences and Engineering Identifier An unambiguous reference to the resource within a given context 2637-2835 DOI Digital object identifier 10.14706 Publisher An entity responsible for making the resource available International Burch University Description An account of the resource Journal of Natural Sciences and Engineering (JONSAE) is a peer-reviewed, biannually published international journal focusing on empirical and theoretical research in all branches of Engineering and Natural Sciences. It is published on the behalf of Faculty of Engineering and Natural Sciences of International Burch University and aims to provide the best content regarding by publishing original research papers, review articles, special issues, feature articles, and book reviews. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous referees. All peer review is double-blind and submission is online. The journal welcomes theoretical, applied, interdisciplinary and methodological work, with preference on empirical research, critical approach and problem-solving methods in manuscripts. Language A language of the resource English Dublin Core 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/. Title A name given to the resource Hydrophobic Interaction Chromatography: A Key Method for Protein Separation Author Author Nermana Kovačević, Mohammad Tariq AL-Boush Abstract A summary of the resource. This review's main goal is to increase theoretical knowledge and comprehension of the techniques used to separate important enzymes using chromatography. Protein separation, purification, and analysis frequently involve the use of hydrophobic interaction chromatography (HIC), in which the molecules are separated based on differences in hydrophobicity. It is conducted using a weakly hydrophobic, nonpolar stationary phase to which the proteins bind in an aqueous highsalt solution as the mobile phase. The protein integrity is thereby conserved during the process. HIC is usually used with a gradient from high to low concentrations of salt as an eluent and can be applied in a wide range of biotechnological processes. In this study, after a brief overview of hydrophobic interaction chromatography, we explain the HIC procedure, protein retention mechanism, factors affecting HIC, and applications of HIC. Keywords Keywords. Hydrophobic interaction chromatography, protein purification. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE2022421 Publisher An entity responsible for making the resource available International Burch University Language A language of the resource English language Type The nature or genre of the resource Literature review https://omeka.ibu.edu.ba/files/original/6bde2374e88c4830ad6bdb9c457fd4f5.pdf e1743e3cb9ffc4798bfbc8d9f59e80b4 Dublin Core 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/. Title A name given to the resource Journal of Natural Sciences and Engineering Identifier An unambiguous reference to the resource within a given context 2637-2835 DOI Digital object identifier 10.14706 Publisher An entity responsible for making the resource available International Burch University Description An account of the resource Journal of Natural Sciences and Engineering (JONSAE) is a peer-reviewed, biannually published international journal focusing on empirical and theoretical research in all branches of Engineering and Natural Sciences. It is published on the behalf of Faculty of Engineering and Natural Sciences of International Burch University and aims to provide the best content regarding by publishing original research papers, review articles, special issues, feature articles, and book reviews. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous referees. All peer review is double-blind and submission is online. The journal welcomes theoretical, applied, interdisciplinary and methodological work, with preference on empirical research, critical approach and problem-solving methods in manuscripts. Language A language of the resource English Dublin Core 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/. Title A name given to the resource Solar Irradiation Prediction Based on M5 Model Tree and Feature Importance Evaluation Author Author Lejla Idrizović, Lejla Lulić Skopljak, Faris Haznadarević, Haris Ahmetović Abstract A summary of the resource. In the last decade, the usage of renewable energy is on the rise, and that trend will only continue because technology is becoming more developed, so renewable energy sources are going to offer more for the same price. Besides all positive properties, there are also some negatives like direct dependence on the weather conditions. That means energy production is constantly changing, so it must be as precisely as possible predicted to be usable on a large scale. Fifteen attributes were analyzed using M5 regression tree. High positive degree of correlation was found between participle water and dew point temperature, air temperature with dew point, air temperature with precipitation of water, snow depth with Albedo daily, zenith angle with relative humidity, GHI with Air temperature. It was found that the zenith angle, between the normal of the Earth’s surface and the Sun, was the most important feature of the dataset for solar irradiation prediction. Keywords Keywords. machine learning, photovoltaic, renewable energy, solar irradiation, weather forecast. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE2022422 Publisher An entity responsible for making the resource available International Burch University Language A language of the resource English language Type The nature or genre of the resource Original research https://omeka.ibu.edu.ba/files/original/c8b1712e2e3763facaf9f5a12e0c52fe.pdf be1c7ebbe9ee5b91edd0340a62837f06 Dublin Core 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/. Title A name given to the resource Journal of Natural Sciences and Engineering Identifier An unambiguous reference to the resource within a given context 2637-2835 DOI Digital object identifier 10.14706 Publisher An entity responsible for making the resource available International Burch University Description An account of the resource Journal of Natural Sciences and Engineering (JONSAE) is a peer-reviewed, biannually published international journal focusing on empirical and theoretical research in all branches of Engineering and Natural Sciences. It is published on the behalf of Faculty of Engineering and Natural Sciences of International Burch University and aims to provide the best content regarding by publishing original research papers, review articles, special issues, feature articles, and book reviews. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous referees. All peer review is double-blind and submission is online. The journal welcomes theoretical, applied, interdisciplinary and methodological work, with preference on empirical research, critical approach and problem-solving methods in manuscripts. Language A language of the resource English Dublin Core 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/. Title A name given to the resource Letter Recognition Using Machine Learning Algorithms Author Author Merima Ćeranić, Samed Jukić Abstract A summary of the resource. Optical character recognition represents the mechanical or electronic conversion of handwritten, typed or printed images into coded text. Optical character recognition is widely used as a form of data entry from records that have been printed, and it can include invoices, bank statements, passports and many more. In the research, Optical character recognition reads data from the Re-Captcha dataset of images, converts them into strings, and these strings are used for testing, training and calculating prediction accuracy. The methodologies used are Convolutional neural network and Recurrent neural network. The convolutional neural network consist of neurons that receive data and group them according to similarity. A recurrent neural network cycle can be created between the connections of nodes, allowing the output from nodes to influence the subsequent input to other nodes. For data were used Re-Captcha images, and for the prediction of characters from images was used TensorFlow with Keras. The best results that are produced can be compared between first and last result, where the loss for first result was 20.63 and value loss was 16.45, while last result has loss of 0.56 and value loss of 2.96. Keywords Keywords. Keras, OCR, Re-Captcha, Tensorflow Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE2022423 Publisher An entity responsible for making the resource available International Burch University Language A language of the resource English language Type The nature or genre of the resource Original research https://omeka.ibu.edu.ba/files/original/3634ccd4343959b4550befacc0553e8f.pdf 19e39d447def2c0f3dd4feb0fb30f7c2 Dublin Core 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/. Title A name given to the resource Journal of Natural Sciences and Engineering Identifier An unambiguous reference to the resource within a given context 2637-2835 DOI Digital object identifier 10.14706 Publisher An entity responsible for making the resource available International Burch University Description An account of the resource Journal of Natural Sciences and Engineering (JONSAE) is a peer-reviewed, biannually published international journal focusing on empirical and theoretical research in all branches of Engineering and Natural Sciences. It is published on the behalf of Faculty of Engineering and Natural Sciences of International Burch University and aims to provide the best content regarding by publishing original research papers, review articles, special issues, feature articles, and book reviews. All manuscript submissions are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous referees. All peer review is double-blind and submission is online. The journal welcomes theoretical, applied, interdisciplinary and methodological work, with preference on empirical research, critical approach and problem-solving methods in manuscripts. Language A language of the resource English Dublin Core 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/. Title A name given to the resource Journal of Natural Sciences and Engineering Volume 4, issue 2 Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE Publisher An entity responsible for making the resource available International Burch University Description An account of the resource <span class="fontstyle0">Respected readers,<br /></span><span class="fontstyle2">Journal of Natural Sciences and Engineering </span><span class="fontstyle0">(JONSAE) is a peer-reviewed biannual journal<br />that aims at the publication and dissemination of original research articles on the latest<br />developments in the fundamental theory, practice and application of engineering, science, and<br />technology. We provide a platform for researchers, academicians, professionals, practitioners,<br />and students to impart and share knowledge in the form of high-quality empirical and<br />theoretical research papers. The journal covers all areas of genetics and bioengineering,<br />electrical and electronics engineering, information technology, architecture, applied<br />mathematics, computer sciences, and civil engineering.<br /><br />In this second issue in 2022, I would like to express my gratitude to our authors and<br />manuscript reviewers for their unselfish effort. You have continued your commitment and<br />diligence to the Journal in helping us to produce quality and meaningful content that has the<br />opportunity to advance the field. All of us had personal and professional challenges due to<br />return to in-class teaching and dynamic experiences we have all witnessed in terms of changes<br />in how the higher education functions in the post-pandemic period, and yet despite this, we<br />managed to assure continuous publication of our Journal. Thank you all for being part of this<br />wonderful academic endeavor.<br />This issue is comprised of three articles. A review article we are presenting you stands at the<br />crossroad of biochemistry and molecular biology and deals with the current state of knowledge<br />related to the hydrophobic interaction chromatography as an experimental method. Two<br />original papers come from two different areas; one is dedicated to machine learning and<br />another to solar irradiation.<br /><br />In the end, we plan to build upon the excellent editorial infrastructure in the next years. In<br />addition to managing the normal turnover of the Editorial Board members, we will seek to<br />expand it by recruiting additional members who can provide expertise in areas that are not<br />currently well represented. In particular, we hope to recruit board members with expertise in<br />such areas as statistical and biostatistical methods, computer science, bioengineering, and<br />biomedical engineering, among others. We also hope to leverage the expertise of the Editorial<br />Board members to train the next generation of scholars and potential Editorial Board members<br />by finding ways to pair student reviewers with senior reviewers for a peer-review mentorship<br />as a part of building a better research environment for new scientists. A similar approach is<br />planned for the administrative members of the Editorial Board, with the aim of improving the<br />quality of the overall Journal design and acquiring a modern visual identity.<br /><br />Having in mind all stated, I wholeheartedly invite you to read this issue and join our team.<br /><br />Yours sincerely,<br />Adna Ašić, PhD<br /></span>Editor in Chief<br /> Table Of Contents A list of subunits of the resource. <div style="text-align:center;">Hydrophobic Interaction Chromatography: A Key Method for Protein Separation Nermana Kovačević, Mohammad Tariq AL-Boush</div> <div style="text-align:center;"><strong>Literature review </strong></div> <div style="text-align:center;">(pg. 2 - 13)</div> <div style="text-align:center;">Solar Irradiation Prediction Based on M5 Model Tree and Feature Importance Evaluation</div> <div style="text-align:center;">Lejla Idrizović, Lejla Lulić Skopljak, Faris Haznadarević, Haris Ahmetović</div> <div style="text-align:center;"><strong>Original research </strong></div> <div style="text-align:center;">(pg. 14 - 25)</div> <div style="text-align:center;">Letter Recognition Using Machine Learning Algorithms</div> <div style="text-align:center;">Merima Ćeranić, Samed Jukić</div> <div style="text-align:center;"><strong>Original research </strong></div> <div style="text-align:center;">(pg. 26 - 37)</div> https://omeka.ibu.edu.ba/files/original/07509a29216bd066fe5c7c0731b52c7a.docx 9dacb81cdf9c2c27aecb091257cba642 https://omeka.ibu.edu.ba/files/original/bc7bf7faa0320bcdfa9ff66aac2556dc.pdf 7a4c10869b752a21aa78e7d75fcc9d7b Dublin Core 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/. Title A name given to the resource Almanya’da İki Dilli Yetişen Türk Çocuklarının Türkçe Konuşma Becerisinin Gelişiminde Karşılaştıkları Sorunlar Author Author Sakinur Okuyan Abstract A summary of the resource. Almanya’da yaşayan Türk kökenli ailelerin 3. ve 4. kuşak yeni nesil çocuklarının çoğu ana dili Türkçede iletişim sorunları yaşamaktadır. Dil becerisini geliştiremeyen bireyler kendilerini o dilde iyi ifade edemedikleri için karşı tarafa da tam olarak ne anlatmak istediklerini iletememektedir. Araştırma Almanya'da yaşayan, çift dilli yetişen ve ana dili Türkçe olan ilkokul ve ortaokul çağındaki Türk çocuklarının ders içerisinde, hazırlıksız konuşma esnasında, en çok yaptıkları konuşma hatalarını belirlemeyi amaçlamaktadır. Bu amaç doğrultusunda çocukların konuşma hataları ayrıntılı olarak tespit edilmiş ve hataların düzeltilmesi için çözüm önerileri sunulmuştur. Türkçe konuşmada sorun yaşayan bu öğrenciler Almanca-Türkçe karışımı bir dil kullanmaktadırlar. Veriler nitel araştırma kapsamında gözlem yoluyla elde edilmiştir. Almanya’nın Kuzey-Ren-Vestfalya eyaletine bağlı, dokuz şehirden oluşan Ennepe-Ruhr bölgesinin 5 farklı okulunda seçmeli olarak Türkçe dersi alan 159 çift dilli öğrencinin ders esnasında Türkçe konuşma becerileri gözlemlenmiş ve yaptıkları konuşma hataları gramer kategorilerine göre sınıflandırılmıştır. Elde edilen veriler içerik ve betimsel analiz ile değerlendirilmiş ve yorumlanmıştır. Sonuç olarak bu öğrencilerin kendilerini Türk dilinde doğru ifade edemedikleri tespit edilmiş, karma bir dil kullandıkları gözlemlenmiş ve Almanca bilmeyen Türk bireylerle iletişim sorunları yaşadıkları tespit edilmiştir. English translation: Most of the 3’rd and 4’th new generation children of Turkish origin families living in Germany have communication problems speaking their main language which is Turkish. Individuals who can’t develop their language skills can’t convey exactly what they want to convey to the other party because they can’t express themselves well in that language. In a research, the speech errors of these children who lived in Germany and grew up bilingual were examined in detail and solutions were presented to correct these errors. These students, who have problems in speaking Turkish, use a language where Turkish and German is mixed. The data were obtained through observation within the scope of qualitative research. The Turkish speaking skills of 159 bilingual students who took Turkish courses optionally in 5 different schools in the Ennepe-Ruhr region, which consists of nine cities in the German state of North-Rhine-Westphalia, were observed during the lesson and their speech errors were classified to grammatical categories. The data obtained were evaluated and interpreted by content and descriptive analysis. It was determined that these students couldn’t express themselves correctly in Turkish, it was observed that they used a mixed language, and it was determined that they had communication problems with people who dont speak German. Keywords Keywords. Almanca-Türkçe, Ana Dili Eğitimi, Çift Dillilik, Konuşma Becerisi, Türk Kökenli Çocuklar Publisher An entity responsible for making the resource available International Burch University Date A point or period of time associated with an event in the lifecycle of the resource 22.09.2022 Language A language of the resource English language https://omeka.ibu.edu.ba/files/original/7e6aa201ad1778c65cc8f2828629ca68.docx 017a023d0df5bf574684408027fbf955 Dublin Core 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/. Title A name given to the resource Çağdaş Azerbaycan ve Tatar Antroponimlerinin Leksik- Semantik Özelliklerinin Karşılaştırılması Author Author Samir karimov Abstract A summary of the resource. OZET En önemli iletişim aracı olan dil, insanın yaratıldığı günden bu yana evrim geçirmekte ve toplumda meydana gelen tüm değişimlere canlı bir tanık olarak her şeyi hatırlamaktadır. Dilbilimcilerin araştırmalarına göre, nesnelerin adlandırılmasının başlangıcı, dil oluşumunun ilk aşaması olarak kabul edilir. İnsan önce çevresindeki canlı ve cansız varlıklara isim vermiş ve toplumun gelişim çizgisinde özel isimlendirme gibi bir aşama ortaya çıkmıştır. Toplumdaki bireyler özel eşyaları ayırt edebilmek için özel isimlere ihtiyaç duymuş ve böylece özel isimler gibi bir kategori oluşturulmuştur. İsimler insanları, hayvanları, bitkileri, yerleri, kabileleri, tayfa ve farklı insan topluluklarını ayırt etmede önemli bir rol oynamaya başlamıştır. Özel adlar yüzyıllardır dilbilim araştırmalarının en önemli konusu olmuş ve dilbilimin diğer alanlarında yardımcı kaynak olarak kullanılmıştır. Yüksek lisanz tez çalışması olan "Modern Azerbaycan ve Tatar antroponimlerinin Sözlüksel ve Semantik Özelliklerinin Karşılaştırılması”da araştırma konusu olarak, Dilbilim Onomoloji Bölümü'nün antroponimi kategorisi esas alınmıştır. Dillerin etkilendikleri değişimler sonucunda ortaya çıkan yenilikler bilimsel olarak araştırılmış, farklı ve ortak özellikler örneklerle tablolar halinde toplanmıştır. Tezde kullanılan antroponimler kadın ve erkek isimlerini içeriyor. Sunulan antroponimler anlam gruplarına göre sınıflandırılmıştır. Çalışmada kullanılan antroponimler aracılığıyla Azerbaycan ve Tatar onomastiğinin benzerlikleri, farklılıkları ve ortak özellikleri esas müzakere konusu olmuştur. Sonuçta her iki dilin tarihsel dil yakınlığına dair değerli bilgiler toplanmıştır. ABSTRACT Language, which is the most important means of communication, has been evolving since the day man was created, and remembers everything as a living testimony to all the changes that have taken place in society. According to the researches of linguists, the naming of objects is considered to be the beginning, the first stage of language formation. Man first gave names to the living and non-living beings around him, and a stage appeared in the development of society, such as special naming. Individuals in the society needed special names in order to be able to distinguish special things, and a category such as special names was created. Names have begun to play an important role in distinguishing people, animals, plants, places, tribes and different human communities. Private names have been the most important subject of linguistic research for centuries and have been used as an ancillary resource in other fields of linguistics. The study of "Comparison of lexical and semantic features of modern Azerbaijani and Tatar anthroponyms", a highly licensed thesis, is based on the anthroponymy section of the Department of Linguistics Onomology. It is being studied here. The innovations that emerged as a result of the changes in which languages are influenced have been scientifically investigated, and different and common features have been collected in the form of tables with examples. The similarities, differences and common aspects of Azerbaijani and Tatar onomastics have been the main subject of discussion through the anthroponyms used in the study. As a result, valuable information about the historical linguistic proximity of both languages has been collected. Keywords Keywords. Antroponimi, leksik-semantik anlam, onomastik, Tatar ve Azerbaycan Antroponimileri Language A language of the resource Turkish language https://omeka.ibu.edu.ba/files/original/a8d09c16a6c422deffa13eb65c8ee36c.docx 31947794b7625aceb52f81a93da577ba Dublin Core 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/. Title A name given to the resource Sorani Kürtçesinde Türkçeden Geçen Kelimeler Author Author Kenan Arslan Abstract A summary of the resource. ÖZET Dil, insan yaşamının ve iletişimin en temel gereksinimlerinden biridir. Dil, milletlerin ve kültürlerin geçmişi ve geleceği arasında bir köprü vazifesi görür. Dil sadece insanlar arası iletişimde değil, kültürler ve milletler arası iletişimde de büyük rol oynayan bir unsurdur. Tarih boyunca diller çeşitli sebeplerden dolayı birbirleriyle etkileşim içinde olmuştur. Teknolojinin gelişmesi ile diller arası etkileşimin hızı da artmıştır. Yüzyıllar boyunca diller arası etkileşim üzerine çeşitli çalışma ve araştırmalar yapılmıştır. Bu çalışma diller arası etkileşim açısından Türkiye Türkçesinin Sorani Kürtçesi üzerindeki etkisinin incelenmesi amacıyla yapılmıştır. Bu amaçla Kürt şair Nâlî’nin Kürtçe divanı taranmıştır. Nâlî, kesin olarak bilinmese de (1797-1856) yılları arasında yaşadığı düşünülmektedir. Kürtçe bir divan yazmıştır ve şiirleri divanı ile günümüze kadar ulaşmıştır. Kürtçe dışında Türkçe, Arapça ve Farsça da bilmektedir. Şairin divanında aslen Türkçe olan kelime ve dil unsurları tarama ve doküman analizi kullanılarak tespit edilmiş ve yorumlamaları yapılmıştır. Tarama sonucunda 2461 Kürtçe olmayan kelime tespit edilmiştir. Bu kelimelerden 33 tanesi Türkçe, 1647 tanesi Arapça, 761 adeti Farsça ve beş adedi de diğer dillerden geçmiş kelime varlığı olarak tespit edilmiştir. Ayrıca dört kelimenin de Türkçe ek almış olduğu belirlenmiştir. Sekiz adet kelimede dil-edebiyat ortaklığı olduğu tespit edilmiştir. Üç kelimenin de hibrit kelime olduğu saptanmıştır. Elde edilen bu veriler sırasıyla fonetik, tematik, semantik ve etimolojik açılardan gruplandırılmıştır. Nâlî divanı çerçevesinde Türkiye Türkçesinin Sorani Kürtçesinde kayda değer bir etkisi olduğu anlaşılmıştır. Türkçenin aynı zamanda başka dillerden de taşıyıcılık yaptığı görülmektedir. ABSTRACT Language is one of the main needs for human life and communication. It is a bridge between the past and future of cultures. Language is a key factor not only for human communication but also communication among cultures. Languages interact with each other for many different reasons in history. By the advanced of technology, the interaction between languages is also increased. There are variety of studies on interaction of languages for centuries. This study is prepared to indicate the language interaction and influence of between Turkey`s Turkish on Sorani Kurdish. For this reason, we have scanned Kurdish author Nali`s Divan. Nali is believed to be lived from 1797 to 1856. He wrote a divan, a set of poems, in Kurdish and his poems in his Divan has reached us through the years. He knew Turkish, Arabic and Persian besides Kurdish. In his Divan, we scanned and found out the Turkish originated words and phrases by document analyzing. By this scanning, we found 2461 foreign words. 33 words out of these are Turkish, 1647 words are Arabic, 761 words are Persian, and 5 words from other languages are found after our research. Also, 4 words are added Turkish prefixes and suffixes. And 8 words are commonly used in Turkish and Kurdish literature. 3 words are hybrid words. The outcomes have been categorized by phonetic, thematic, semantic, and etymologic respectively. After all the evaluations, we have found out that there is a significant Turkish influence on Sorani Kurdish in Nali`s Divan. We also found out that Turkish is carrying words from a language to one another. Keywords Keywords. Nali, Nâlî divanı, Divan Edebiyatı, Kürtçe Divan, Kürtçeye Türkçeden Geçen Kelimeler, Sorani Kürtçesi. Language A language of the resource Turkish language https://omeka.ibu.edu.ba/files/original/6487084490568a8b2b9813078e84b977.pdf 88112df8410ec1c8d827457a8cebd85c Dublin Core 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/. Title A name given to the resource BOOKS Dublin Core 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/. Title A name given to the resource PEDESTRIAN BEHAVIOUR AND ARTIFICIAL INTELLIGENCE - SARAJEVO STUDY Author Author EMINA ZEJNILOVIĆ, ERNA HUSUKIĆ, ZERINA MAŠETIĆ and DŽELILA MEHANOVIĆ Abstract A summary of the resource. Interest in this study cane from spontaneous social and architectural interventions in urban environments that were triggered into replay during the COVID-19 pandemic, as citizens across the globe made enormous endeavors to find the ordinary under extraordinary living circumstances. When societies and spaces are exposed to large-scale, unexpected situations for long periods of time, visible spatial and societal shifts are created, and their reciprocal connection becomes particularly apparent. A question arises: how did the contemporary model of high-rise, high- density city respond to the imposed social changes caused by the COVID-19 pandemic? Images and videos of people singing from windows and balconies have traveled the world in 2020, displaying the natural need for socialization, community, belonging, and protesting the seclusion that was aggressively imposed by the pandemic. The recommendations for new, enforced, but ‘safe’ social conduct forcefully restricted human contact and was very much conflicting with the instinct and inborn human nature. Parallelly, limited circulation within and between cities and countries created heightened demand for open public spaces locally that were identified as crucial social assets in times of crisis s. A square meter more of free space was in high demand during 2020 and 2021 in urban environments, when maintaining social distance was almost equivalent to staying alive. The role of public space as a material realization and constructor of the physical realm within which we live, move, communicate, gather, or avoid one another has been tested to the ultimate limits. The health crisis caused by the COVID-19 pandemic highlighted its role as a generator of social relationships, as well as the importance it has on the quality of everyday life in urban environments. Thus, the most recent pandemic brought the topic of space-society relationships to the forefront, confirming that architectural planning 5 and spatial organization can have serious and large-scale social consequences. Issues of accessibility, availability, flexibility, and transformability of both public and private spaces had a high impact on both physical and mental health during the long months of restricted movement. While it made us revisit the question of how ‘human’ contemporary architecture and space is or how lost we have become trying to cater to the contemporary needs of everyday life, it also opened doors for new spatial concepts. Attempting to assess the relationship between spaces and societies in an urban context during the extreme social situation of the COVID-19 pandemic, this study presents the case of the city of Sarajevo, a town that chronically suffers from an open public space and urban greenery shortage. Imposed changes in social conduct revealed and highlighted all the weaknesses and deficiencies of this progressively congested city. Subsequently, the work examines Sarajevo’s existing inventory of public spaces in order to address the possibility of the city transitioning to a wider and more homogeneous supply of public space. Through cartographic representation, the research produces maps —an atlas of the main categories of public spaces — and makes an in-depth survey of the pattern of movement, use, and quality of selected open public areas using Artificial Intelligence (AI) and technology. AI and technology themselves have become increasingly important in our lives and are changing the way we live. AI systems are designed to automate tasks that were once performed by humans and are becoming more sophisticated every day. AI is also changing the way we interact with technology, making it more intuitive and natural, and providing new and innovative ways to access and process information and services. During the COVID-19 pandemic, AI served as a tool for detecting human movement patterns, assisting in maintaining social distancing. This provides an insight into the assessment of vulnerability and risk in Sarajevo in terms of the availability of public spaces and proposes specific spatial interventions that could provide a more adequate response for changing social behavior during COVID-19 pandemic or in the face of possible new health crises. Publisher An entity responsible for making the resource available Authors https://omeka.ibu.edu.ba/files/original/56ad02039a4b48a48468a0b8285635d6.docx 815a0970b1065eb387c86f97cda36ba0 Dublin Core 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/. Title A name given to the resource Journal of Education and Humanities Subject The topic of the resource Education and Humanities Dublin Core 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/. Title A name given to the resource Zaštita ljudskih prava pod krivičnim procesnim pravom u Bosni i Hercegovini, sa posebnim osvrtom na pravo na pravično suđenje Author Author Davor Trlin Emina Bešlija Abstract A summary of the resource. Ovaj rad ispituje uticaj jedinstvenih standarda ljudskih prava u međunarodnim konvencijama na krivične procese u Bosni i Hercegovini identifikuje faktore svojstvene bosanskohercegovačkom sistemu koji utiču na obim međunarodnih standarda i način na koji se oni primjenjuju u bosanskohercegovačkom kontekstu. Na prihvatanje međunarodnih osnovnih prava i sloboda u krivičnom procesu utiču tri sveobuhvatna pitanja: ustavna uređenja, pravna tradicija i kultura i praktične okolnosti. Ne postoji jednoobrazna implementacija konvencijskih standarda; čak i u Evropi u kojoj Evropska konvencija o ljudskim pravima i osnovnim slobodama i sudska praksa Evropskog suda igraju značajnu ulogu, još uvijek postoji mnogo različitosti u stvarnoj primjeni međunarodnih normi zbog uticaja pravnih tradicija. U ovom radu će se analizirati koji je domašaj pravila iz Evropske konvencije za zaštitu ljudskih prava i osnovnih sloboda u krivičnom procesnom pravu u BiH, te da li su domaće sudije i tužioci naučili da ispravo primjenjuju Konvenciju. Istražiće se i najkrupniji nedostaci u postupanju pravosudnih organa, a koji su, po mišljenu autora, suprotni sa praksom Ustavnog suda BiH i Evropskog suda za ljudska prava. Cilj rada je istražiti koji je domašaj i opseg člana 6. Evropske konvencije za zaštitu ljudskih prava i osnovnih sloboda u pravnom sistemu BiH. S tim u vezi, koristiće se normativni metoda kao osnovni, ali i komparativni, kao pomoćmi, posebno u smislu stavova koje je kreirao (u odnosu na druge države) Evropski sud za ljudska prava. Keywords Keywords. Ljudska prava, Evropska konvencija o ljudskim pravima, Zakonodavna reforma, Ombudsman Publisher An entity responsible for making the resource available International Burch University https://omeka.ibu.edu.ba/files/original/cf97fe9e8f076c71d38e8c85fd00df92.docx 8dec822a0ef9e2f812997596ff90c23e Dublin Core 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/. Title A name given to the resource Journal of Education and Humanities Subject The topic of the resource Education and Humanities Dublin Core 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/. Title A name given to the resource A Chronological Perspective on the Studies of Turkisms Conducted in Balkan Languages Author Author Doğan YÜCEL Abstract A summary of the resource. Turkisms in the Balkan languages continue to be an essential research subject since Karadzic published the first Serbian Dictionary in 1818. Turkisms studies have been compared to countries where the studies were published, the researchers' nationalities, and the studies' languages in tables. We have evaluated total of 1392 research in this study. Turkism researchers published the highest number of studies in the Turkish and Bulgarian languages. Turkisms in six Balkan languages were published in 17 languages by researchers from 21 nationalities in 35 different countries. While evaluating the studies, they have been handled in five different periods according to the Balkans' significant political events during the last two centuries. We have classified studies according to 33 subtitles under four categories. These four categories are detection and collecting, classification, evaluation and analysis, and current frequency measurement and revitalization of Turkisms. The method used in this study is the same as the method used by Yücel in his six published bibliography studies. Turkism studies classified are based in this study on Yücel's six studies given in the bibliography. Keywords Keywords. Turkisms, Balkan languages, Turkish Loanwords. Publisher An entity responsible for making the resource available International Burch University