339 10 3494 https://omeka.ibu.edu.ba/files/original/531fa16c726b30a5aec6b709913003ea.pdf cc737be78b1a723001dcdbfa17c548fc 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 Machine Learning-Based Gene Clustering on Brain Cancer Using K-Means and Hierarchical Clustering Methods Author Author Fatih Yilmaz, Samed Jukić Abstract A summary of the resource. K-means and hierarchical clustering algorithms are employed to cluster genes according to the gene expression to determine the harming level of the genes in brain cancer. The gene expression data with a control group from The Cancer Genome Atlas database were used. The optimal cluster number for each clustering technique was obtained using the elbow method and dendrogram for K-means and hierarchical clustering methods respectively. We identified the ideal number of clusters as three and further classified them into seven groups. We observed that the second cluster contains over half the genes in healthy people and the cluster distribution of a healthy patient and a patient who died six months after being diagnosed with brain cancer is similar. Further analysis indicated that of all the time spent by patients after being diagnosed with brain cancer, group 0 has the highest percentage in one month after the diagnosis, while group -2 has the lowest percentage. Most genes shift their clusters when Kmeans and hierarchical clustering techniques we compared with the genes from the control and disease groups. The result of the measure of dissimilarity between the genes expression patterns indicates that the K-means technique outperforms the hierarchical technique with a higher rate of change in the cluster. Keywords Keywords. Brain cancer, gene clustering, hierarchical clustering, K-means clustering, machine learning. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 DOI Digital object identifier 10.14706/JONSAE2021325 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/2681bbb3cd83356e90e4aba0deaae042.pdf 018237549ef606811f81d632873466a0 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 Recommendation Engine on IPTV Author Author Vedad Njuhović, Samed Jukić Abstract A summary of the resource. In recent years IPTV (Internet Protocol Television) platforms are becoming one of the most popular entertainment multimedia services which are used to serve movies, tv-series and other video and audio attractive content using the Internet Protocol. VoD (Video on Demand) is the most popular multimedia IPTV service, which provides content without the need for the old traditional way of using video playback devices. Except that it is necessary to have high-quality VoD content, IPTV platforms must provide the best end-user experience. Moreover, it is imperative to provide new features to attract new customers and keep the existing ones. We confirmed the efficacy of this classifier thru simple trial and error. When we searched for movies that have sequels, our engine recommended those sequels. Since Cosine Similarity Classifier considers multiple factors, such as actor, genre, year, etc. Even if the movie does not have prequels or sequels this algorithm was able to provide us with movies that share other common characteristics. Keywords Keywords. IPTV, engine, unicast, broadcast, multicast, python, CSS, HTML, JS. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 DOI Digital object identifier 10.14706/JONSAE2021326 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/10c6cd6b9a20e1a1393d9fe312dc243a.pdf b3d96f84062dbe647100f3a16c384236 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 Depression and Anxiety Analysis and Prediction using Big Data Technologies Author Author Mersiha Ćeranić, Samed Jukić Abstract A summary of the resource. COVID-19 pandemic brought many changes in people’s lifestyles. Some of those changes hurt people's mental health in different age groups. This research is done to investigate which factors contributed most to the occurrence of depressive and anxiety symptoms during COVID-19 lockdown, and what type of people in terms of age, sex, level of education, place of living, was the most exposed to the appearance of mental health disorders. 1115 people (18-85 years old) from Poland joined the research process. They fulfilled online questionnaires which were used as a basis for further research of lockdown impact on mental health. Responses are evaluated by using ML tools predicting the group of participants with signs of depression and anxiety, based on their answers to the questionnaires, and the attributes of the participants. Based on the results given by the studies, the youngest population (age 18-29), which participated in the surveys, experienced more intense depression and anxiety symptoms than participants from other age groups. Keywords Keywords. Anxiety, covid-19, decision tree, depression, logistic regression, tableau, Weka. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 DOI Digital object identifier 10.14706/JONSAE2021327 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/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 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/a46b7b095ff1e2794726807d05e4f2ae.pdf 1adb250829f016f97e58e3ae3f5e469e 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 Phytoremediation: A Green Approach to Fight Heavy Metal Contamination in the Soil Author Author Jasmin Novalic Abstract A summary of the resource. The purpose of this review paper is to present the extent and importance of the problem of heavy metal contamination in the environment, most notably in the soil. Phytoremediation is one approach for tackling this issue through the use of leafy plants for the uptake of excess heavy metals from the soil. An example of such plant species are the members of the Brassica genus which, when put in contact with different heavy metals present in soil, will act to remove them and therefore decrease their concentration. Heavy metals that are mostly observed in this context were copper, lead, and zinc, because of their abundance in different ecological environments. Different plants in general have a satisfactory phytoremediation potential, depending on the plant part, heavy metals in question, as well as used remediation technique. Therefore, introducing Brassica spp. into use would be a good way of enhancing the quality of the environment. Keywords Keywords. Brassica spp., Bioremediation, Heavy metals, Phytoremediation, Pollution. Identifier An unambiguous reference to the resource within a given context ISSN 2637-2835 (Print) DOI Digital object identifier 10.14706/JONSAE2022411 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/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/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/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/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>