1 10 46 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/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/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/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/7112b4a9a2716b56612a13c9e4c06b14.pdf 7b5c00f172785b71f003ae5f15091c54 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 1 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 Respected readers, Journal of Natural Sciences and Engineering (JONSAE) is a peer-reviewed biannual journal that aims at the publication and dissemination of original research articles on the latest developments in the fundamental theory, practice and application of engineering, science, and technology. We provide a platform for researchers, academicians, professionals, practitioners, and students to impart and share knowledge in the form of high-quality empirical and theoretical research papers. The journal covers all areas of genetics and bioengineering, electrical and electronics engineering, information technology, architecture, applied mathematics, computer sciences, and civil engineering. In this first issue in 2022, I would like to express my gratitude to our authors and manuscript reviewers for their unselfish effort. You have continued your commitment and diligence to the Journal in helping us to produce quality and meaningful content that has the opportunity to advance the field. All of us had personal and professional challenges due to the pandemic and return to in-class teaching and yet despite this, we managed to assure continuous publication of our Journal. Thank you all for being part of this wonderful academic endeavor. This issue is dedicated to natural sciences only, whereby we have two original research articles and two review articles. Original articles are dealing with testing results for the patients in the Canton Sarajevo, one related to biochemical blood analyses and another to cancer genetics. When it comes to literature reviews, we are changing the pace and are pointing our interest towards plants; the reviews are dealing with plants in medicine and environmental science. In the end, we plan to build upon the excellent editorial infrastructure in the next years. In addition to managing the normal turnover of the Editorial Board members, we will seek to expand it by recruiting additional members who can provide expertise in areas that are not currently well represented. In particular, we hope to recruit board members with expertise in such areas as statistical and biostatistical methods, computer science, bioengineering, and biomedical engineering, among others. We also hope to leverage the expertise of the Editorial Board members to train the next generation of scholars and potential Editorial Board members by finding ways to pair student reviewers with senior reviewers for a peer-review mentorship as a part of building a better research environment for new scientists. A similar approach is planned for the administrative members of the Editorial Board, with the aim of improving the quality of the overall Journal design and acquiring a modern visual identity. Having in mind all stated, I wholeheartedly invite you to read this issue and join our team. Yours sincerely, Adna Ašić Editor in Chief Language A language of the resource English language Table Of Contents A list of subunits of the resource. <div style="text-align:center;">Phytoremediation: A Green Approach to Fight Heavy Metal Contamination in the Soil Jasmin Novalic <br /><strong>Literature review</strong> <br />(pg. 2 - 11) <br />The Presence of Bioactive Compounds in Plants of the Amaranthaceae Family and Their Use in Medicine: A Review <br />Lejla Kadric <br /><strong>Literature review</strong> <br />(pg. 12 - 31) <br />Comparison Test of Sensitivity Between Next Generation Sequencing (NGS) Hotspot Panel and Droplet Digital PCR of KRAS G12 / G13 Mutation <br />Azra Hajdarevic, Lana Salihefendic, Rijad Konjhodzic, Adis Kandic, Ivana Ceko, Dino Pecar, Muhamed Curic, Amina Kurtovic – Kozaric <br /><strong>Original research</strong> <br />(pg. 32 - 41) <br />The Assessment of the General Health Status of the Sarajevo Canton Residents Through General Biochemical Testing Results <br />Faris Ramic <br /><strong>Original research</strong> <br />(pg. 42 - 55)</div> https://omeka.ibu.edu.ba/files/original/16da71dae3c11435cf60da48cf7a1c46.pdf 75da00d80365ac21f644736281c1f1e7 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 The Assessment of the General Health Status of the Sarajevo Canton Residents Through General Biochemical Testing Results Author Author Faris Ramic Abstract A summary of the resource. In this research, we will be assessing the general health status of the Sarajevo Canton residents by analyzing the biochemical test results for the samples from the study cohort collected in 2021 for the following testing panels: lipid panel, liver panel, thyroid panel, electrolyte panel, and prostate panel. Along with the biochemical components that are tested, their physiological importance and consequences of deregulation, we are introducing the reasons for ordering the tests, as well as potential findings and conclusions from the testing results. Devices that were used for this research are Gesan Chem 200 (Gesan Production, Campobello di Mazara, Italy) and Architect 1000 (Abbot, Chicago, IL), both operated according to manufacturer’s instructions. The collection of demographic data and test results was performed through usage of Laboratory Information System (LIS). Test results of the study participants were compared with referent values, as provided for the population average. Initial results were summarized and compared through descriptive statistics, while the exact test of goodness-of-fit was used to assess the compliance of observed data with expected referent values. Demographic trends, in terms of which sex and/or age group are more likely to have any tested parameter deregulated, either increased or decreased, are presented and discussed in detail. Finally, recommendations for future testing and prophylaxis are given. Keywords Keywords. laboratory testing, biochemical blood testing, Sarajevo Canton, health status Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE2022414 Publisher An entity responsible for making the resource available International Burch University Type The nature or genre of the resource Original research https://omeka.ibu.edu.ba/files/original/fff93c2fec19e46968acdfcfd9b40033.pdf 44a32890c2f4fb1b9bf05cdfdc013750 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 Comparison Test of Sensitivity Between Next Generation Sequencing (NGS) Hotspot Panel and Droplet Digital PCR of KRAS G12 / G13 Mutation Author Author Azra Hajdarevic, LanaSalihefendic, RijadKonjhodzic, Adis Kandic, Ivana Ceko, DinoPecar, Muhamed Curic, Amina Kurtovic – Kozaric Abstract A summary of the resource. Cancer is an abnormal proliferation of cells that is characterized by the presence of genomic alterations including DNA mutations, deletions, insertions, translocations, inversions, and others. KRAS gene is one of the most mutated genes across different cancer types. The most common mutations in KRAS are found in codons 12 and 13 of KRAS protein, which are associated with a lack of response to anti- epidermal growth factor receptor (EGFR) antibody therapy. This study assessed and compared the performance between two diagnostic methods: droplet digital PCR (ddPCR) and next generation sequencing (NGS). The main goal was to determine KRAS G12 / G13 mutant allele fraction using NGS and to compare the accuracy toddPCR. A total of 28 samples of non – small cell lung cancer (NSCLC) and colorectal cancer (CRC) were analyzed using ddPCR and NGS methods. Our results show that even though both methods exhibited high rate of concordance and correlation, the study proved that ddPCR is more superior when it comes to detecting low frequency mutations. Even though strong correlation was observed, based on the values obtained, we concluded that ddPCR is more accurate, reliable, and sensitive in comparison with NGS. Keywords Keywords. ddPCR, KRAS mutation, NGS. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE2022413 Publisher An entity responsible for making the resource available International Burch University Type The nature or genre of the resource Original research https://omeka.ibu.edu.ba/files/original/a97f1fae5fe55b2076b0b7384fc9cb6f.pdf 7651078b874c077e82393acf7bda9d03 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 The Presence of Bioactive Compounds in Plants of the Amaranthaceae Family and Their Use in Medicine: A Review Author Author Lejla Kadric Abstract A summary of the resource. Various plants have been used in traditional medicine for thousands of years as natural medicines with therapeutic and other pharmacologic effects. Bioactive compounds found in plants, such as flavonoids, trace minerals, essential oils, phenols, glycosides, alkaloids, and tannins, can affect microbial growth, reproduction, and essential cell functions. Plants of the Amaranthaceae family have a broad range of bioactive phytochemical constituents, which provide a variety of medicinal benefits. This review article discusses the characteristics of Amaranthaceae plants that may indicate their use as medicinal plants, especially against infectious diseases. According to the literature, Amaranthaceae plants contain considerable levels of bioactive compounds that make them effective in traditional medicine, even though their impact on numerous microbes has yet to be examined. Keywords Keywords. Active compounds, Amaranthaceae, antioxidant, antibacterial, flavonoids. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE2022412 Publisher An entity responsible for making the resource available International Burch University Type The nature or genre of the resource Literature review https://omeka.ibu.edu.ba/files/original/e6f54c7629d056b792900633bc2eb67f.pdf d2959a85e7f4de6f43ff94bf9a6ad5f4 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 3, issue 2 Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) Publisher An entity responsible for making the resource available International Burch University DOI Digital object identifier 10.14706/JONSAE Description An account of the resource Respected readers, Journal of Natural Sciences and Engineering (JONSAE) is a peer-reviewed biannual journal that aims at the publication and dissemination of original research articles on the latest developments in the fundamental theory, practice and application of engineering, science, and technology. We provide a platform for researchers, academicians, professionals, practitioners, and students to impart and share knowledge in the form of high-quality empirical and theoretical research papers. The journal covers all areas of Genetics and Bioengineering, Electrical and Electronics Engineering, Information Technology, Architecture, Applied Mathematics, Computer Sciences, and Civil Engineering. In this issue, I would like to express my gratitude to our authors and manuscript reviewers for their unselfish effort. You have continued your commitment and diligence to the Journal in helping us to produce quality and meaningful content that has the opportunity to advance the field. All of us had personal and professional challenges due to the pandemic and yet despite this, we managed to produce quality content and improve JONSAE’s indexation and future perspectives in terms of its metrics and quality growth. Thank you all for being part of this wonderful academic endeavor. We have both original research and literature review articles published in this issue. Our readers can learn details about how data technology and engineering ventures can contribute to medicine in the form of predictions for depression and anxiety as well as how to use machine learning-based gene clustering in brain cancer classification. Also, you can find out what is the potential of biomaterial-based solutions in cancer research treatment and can homicides be solved using the classification method. In the end, you can read about a staple gene in pharmacogenomics research, CYP4F2*3, and the effect of its polymorphism on different traits, including optimum anticoagulation therapy administration based on the patient’s genetics. In the end, we plan to build upon the excellent editorial infrastructure in the next years. In addition to managing the normal turnover of the Editorial Board members, we will seek to expand it by recruiting additional members who can provide expertise in areas that are not currently well represented. In particular, we hope to recruit board members with expertise in such areas as statistical and biostatistical methods, computer science, bioengineering, and biomedical engineering, among others. We also hope to leverage the expertise of the Editorial Board members to train the next generation of scholars and potential Editorial Board members by finding ways to pair student reviewers with senior reviewers for a peer-review mentorship as a part of building a better research environment for new scientists. A similar approach is planned for the administrative members of the Editorial Board, with the aim of improving the quality of the overall Journal design and acquiring a modern visual identity. Having in mind all stated, I wholeheartedly invite you to read this issue and join our team. Yours sincerely, Adna Ašić, PhD Editor in Chief Language A language of the resource English language Type The nature or genre of the resource Full Table Of Contents A list of subunits of the resource. <div style="text-align:center;">The Potential of Biomaterial-Based Solutions in Cancer Research and Treatment Hannah Boone</div> <div style="text-align:center;"><strong>Literature review </strong></div> <div style="text-align:center;">(pg. 4 -11)</div> <div style="text-align:center;">Analysis of High School Graduate Data Using Database Analytics Tools</div> <div style="text-align:center;">Ezana Ćeman, Samed Jukić</div> <div style="text-align:center;"><strong>Original research </strong></div> <div style="text-align:center;">(pg. 12-26)</div> <div style="text-align:center;">Frequency Locked Loop in Estimating Active, Reactive and Apparent Powers Meris Lihić, Slobodan Lubura</div> <div style="text-align:center;"><strong>Original research </strong></div> <div style="text-align:center;">(pg. 27-42)</div> <div style="text-align:center;">Prediction of Solved Homicides Using Classification Method</div> <div style="text-align:center;">Lamija Zukić, Samed Jukić</div> <div style="text-align:center;"><strong>Original research </strong></div> <div style="text-align:center;">(pg. 43-49)</div> <div style="text-align:center;">Machine Learning-Based Gene Clustering on Brain Cancer Using K-Means and Hierarchical Clustering Methods<br />Fatih Yilmaz</div> <div style="text-align:center;"><strong>Original research </strong></div> <div style="text-align:center;">(pg. 50-61)</div> <div style="text-align:center;">Recommendation Engine on IPTV</div> <div style="text-align:center;">Vedad Njuhović</div> <div style="text-align:center;"><strong>Original research</strong> <br />(pg. 62-69)</div> <div style="text-align:center;">Depression and Anxiety Analysis and Prediction using Big Data Technologies Mersiha Ćeranić</div> <div style="text-align:center;"><strong>Original research </strong></div> <div style="text-align:center;">(pg. 70-83)</div> <div style="text-align:center;">Prevalence of rs2108622 (CYP4F2*3) Single Nucleotide Polymorphism – A Review</div> <div style="text-align:center;">Selma Žiga, Hana Efendić, Larisa Bešić</div> <div style="text-align:center;"><strong> Literature review</strong> <br />(pg.84-92)</div> https://omeka.ibu.edu.ba/files/original/159cf5c1fa7f997010eac3af1bd557e9.pdf e3a179bb860ad4bdbb799b4e0603013f 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 Prevalence of rs2108622 (CYP4F2*3) Single Nucleotide Polymorphism – A Review Author Author Selma Žiga, Hana Efendić, Larisa Bešić Abstract A summary of the resource. Cardiovascular diseases are known to be treated with anticoagulants lifelong. Warfarin is one of the most commonly used medications for anticoagulation despite causing serious side effects in some patients. Different single nucleotide polymorphisms (SNPs) that have a role in the cytochrome P450 system can also affect the metabolism, as well as dosing, of warfarin. The purpose of this review is to look into the prevalence of this SNP in the past research and screen for possible correlations with age, place of origin, family history of cardiovascular and cerebrovascular diseases, or other medical conditions possibly present in various populations. In total, 20 scientific articles falling under the inclusion criteria were reviewed and found usable, and the rest of the cases will be highly beneficial in the upcoming years to determine the role of the recently discovered CYP4F2 rs2108622 variant, as well as the previously known CYP2C9 and VKORC1 SNPs, in the variance of warfarin dose requirement. These findings may also point researchers in the right direction for qualifying and validating these genetic variants for use as GBs (genomic biomarkers) in the clinical and medical practice of treatment with warfarin. Keywords Keywords. SNP, rs210862 (CYP4F2*3) SNP, warfarin, vitamin K, cardiovascular disease, anticoagulation, INR. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 DOI Digital object identifier 10.14706/JONSAE2021328 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