Dublin Core
Title
Journal of Natural Sciences and Engineering Volume 4, issue 2
Identifier
ISSN 2637-2835 (Print)
DOI
10.14706/JONSAE
Publisher
International Burch University
Description
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 second 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
return to in-class teaching and dynamic experiences we have all witnessed in terms of changes
in how the higher education functions in the post-pandemic period, 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 comprised of three articles. A review article we are presenting you stands at the
crossroad of biochemistry and molecular biology and deals with the current state of knowledge
related to the hydrophobic interaction chromatography as an experimental method. Two
original papers come from two different areas; one is dedicated to machine learning and
another to solar irradiation.
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
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 second 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
return to in-class teaching and dynamic experiences we have all witnessed in terms of changes
in how the higher education functions in the post-pandemic period, 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 comprised of three articles. A review article we are presenting you stands at the
crossroad of biochemistry and molecular biology and deals with the current state of knowledge
related to the hydrophobic interaction chromatography as an experimental method. Two
original papers come from two different areas; one is dedicated to machine learning and
another to solar irradiation.
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
Table Of Contents
Hydrophobic Interaction Chromatography: A Key Method for Protein Separation Nermana Kovačević, Mohammad Tariq AL-Boush
Literature review
(pg. 2 - 13)
Solar Irradiation Prediction Based on M5 Model Tree and Feature Importance Evaluation
Lejla Idrizović, Lejla Lulić Skopljak, Faris Haznadarević, Haris Ahmetović
Original research
(pg. 14 - 25)
Letter Recognition Using Machine Learning Algorithms
Merima Ćeranić, Samed Jukić
Original research
(pg. 26 - 37)