Journal of Natural Sciences and Engineering, Volume 3, issue 2

Dublin Core


Journal of Natural Sciences and Engineering, Volume 3, issue 2


ISSN 2637-2835 (Print)




International Burch University


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


English language



Table Of Contents

The Potential of Biomaterial-Based Solutions in Cancer Research and Treatment Hannah Boone
Literature review
(pg. 4 -11)
Analysis of High School Graduate Data Using Database Analytics Tools
Ezana Ćeman, Samed Jukić
Original research
(pg. 12-26)
Frequency Locked Loop in Estimating Active, Reactive and Apparent Powers Meris Lihić, Slobodan Lubura
Original research
(pg. 27-42)
Prediction of Solved Homicides Using Classification Method
Lamija Zukić, Samed Jukić
Original research
(pg. 43-49)
Machine Learning-Based Gene Clustering on Brain Cancer Using K-Means and Hierarchical Clustering Methods
Fatih Yilmaz
Original research
(pg. 50-61)
Recommendation Engine on IPTV
Vedad Njuhović
Original research
(pg. 62-69)
Depression and Anxiety Analysis and Prediction using Big Data Technologies Mersiha Ćeranić
Original research
(pg. 70-83)
Prevalence of rs2108622 (CYP4F2*3) Single Nucleotide Polymorphism – A Review
Selma Žiga, Hana Efendić, Larisa Bešić
Literature review

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