Journal of Hunan University Natural Sciences

The Journal of Hunan University Natural Sciences is the leading Chinese academic journal that publishes articles in all areas of natural sciences. The Journal is meant to serve as a means of communication and discussion of important issues related to science and scientific activities. The Journal publishes only original articles in English which have international importance. In addition to full-length research articles, the Journal publishes review articles. Papers can be focused on fundamental research leading to new methods, or adaptation of existing methods for new applications.

Articles for the Journal are peer-reviewed by third-party reviewers who are selected from among specialists in the subject matter of peer-reviewed materials.

The Journal of Hunan University Natural Sciences is a kind of forum for discussing issues and problems facing science and scholars, as well as an effective means of interaction between the members of the academic community. The Journal of Hunan University Natural Sciences is read bya large number of scholars, and the circulation of the journal is constantly growing.

The Journal of Hunan University Natural Sciences publishes special issues on various and relevant topics of interest to the scientific community.

The Journal of Hunan University Natural Sciences is indexed by Web of Science, Scopus, Current Contents, Geobase and Chemical Abstracts.


Articles containing fundamental or applied scientific results in all areas of the natural sciences are accepted for consideration.

The Editorial Board of the Journal of Hunan University Natural Sciences is composed of 25 members and is chaired by Academician Chen Zhengqing. Editor-in-chief is Prof. Yi Weijian.


Frequency of publication: monthly

ISSN: 1674-2974

Access to all articles on the website is open, does not require registration or payment.

Journal articles are licensed under the CC BY 4.0 Creative Commons Attribution 4.0 License.

The Journal of Hunan University Natural Sciences takes care of maintaining electronic versions of articles. Data safety is ensured by backing up digital data in accordance with internal regulations. Logical and physical data migration is also provided. Cloud technologies are applied.

For further information, please contact:


Address: Lushan Road (S), Yuelu District, Changsha, Hunan Province, Zip Code: 410082 (Editorial Department of Journal)

Paper Submission 



Submission open for Volume 48, Issue 11, November 2021.

Dear Authors,
Please submit your manuscripts through our Online Submission System or directly to the Chief -Editor's e-mail
Deadline: September 30.
Journal of Hunan University Natural Sciences is an international, peer-reviewed open access journal on all aspects of natural sciences published monthly online.
Manuscripts are peer-reviewed. The first decision is given to authors about 20-30 days after submission; acceptance for publication after revisions is done within seven days (averages for articles published in this journal in the half of 2021).
Journal of Hunan University Natural Sciences provides an advanced forum on all aspects of natural sciences. It publishes reviews, research papers, and communications. We aim to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that everyone can reproduce the results. Electronic files and software regarding the full details of the calculation or experimental procedure can be deposited as supplementary electronic material if unable to be published in a normal way.
The journal covers physics, chemistry, engineering, environmental, earth sciences and biology.
•    Biosciences and Bioengineering;
•    Computer and Information Science;
•    Chemistry;
•    Earth-Aerospace-Marine Science;
•    Electrical and Electronic Engineering;
•    Education;
•    Engineering;
•    Energy;
•    Environmental Sciences;
•    Economy;
•    Finance;
•    Materials Science;
•    Mathematics;
•    Medicine;
•    Neurosciences ;
•    Physics;
•    Pharmaceuticals.
The authors should prepare the articles strictly according to the template. Please check the link
Each article should have no more than six authors.
All articles published in are published in full open access. In order to provide free access to readers, and to cover the costs of peer review, copyediting, typesetting, long-term archiving, and journal management, an article processing charge (APC) of EUR 400 applies to papers accepted after peer review.
Submitted papers should be well formatted and use good English. Authors may use our English editing service prior to publication or during author revisions. The articles that native English speakers do not edit are not allowed for publication.
The journal publishes articles in English or Chinese.
Articles published in the Journal of Hunan University Natural Sciences will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s).
Posted: 2021-07-16 More...
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Last Research Articles

The classification of tuberculosis (TB) based on chest X-Ray (CXR) remains a time-consuming activity that requires an expert’s interpretation. An automated TB classification on the CXR can be a significant clinical utility to overcome this issue as the disruptive technology is concerned. Most recent research focused on deep learning solutions but identifying the suitable network architecture remains a challenge as it depends on the image features. One of the network architectures is at the classification layer. This paper highlighted a proposed hybrid CNN and enhanced Particle Swarm Optimization (CNN-ePSO) to find an optimal architecture of a connected layer at the classification network layer. We proposed a discrete and real value representation of the particle and a dynamic update strategy of the particle. A series of experiments are performed using Montgomery and Shenzhen CXR for the image classification performance. Formulation of a suitable particle representation has shown a workable particle representation and successfully achieved its aim. The outcome assesses that the hybrid CNN-ePSO with image enhancement is superior to the CNN-PSO without image enhancement and other single CNN models with a remarkable improvement. Thus, a novel ePSO algorithm embedded with CNN captures significant attention on the classification result, mainly for CXR images. In the future, additional work on deep feature layer optimization would be possible for a better result and application of the most recent algorithm like cuckoo search and firefly algorithm.


Keywords: image classification, convolution neural network, deep learning, X-ray Images, particle swarm optimization.


Marina Yusoff, Mohamad Syafiq Irfan Saaidi, Amirul Sadikin Md Afendi, Azrin Mohd Hassan

The idea of safety climate is known for its complexity, as the notion of safety climate itself is perplexing through its content, dimensions, and application in different disciplines. The prime motive of this research is to apply bibliometric analysis to the safety climate research construct, ascertain the pivotal influences and elaborate a structure, characteristics and progresses made for the last 16 years. Application of this statistical technique for safety climate research construct is essential to understand the overall research patterns, as no such analysis can be found to date addressing the vast amount of data that we have utilized. In doing so, a total of 2,027 publications from 2005 to 2021 on safety climate were identified through the Web of Science. These 2,027 publications cover 5,723 authors, 686 research journals, 90 countries or territories, and 2,092 organizations and institutions. The main research areas associated with safety climate were healthcare, patient safety climate, psychological climate, and organizational safety climate. Contemporarily, food safety climate and food safety culture are also associated with safety climate. Historical application of safety climate in high-reliable industries provides a rationale to be utilized in other occupational settings. Prominent journals, publications, and authors from the last decade are also identified. Geographically, the USA, Australia, UK, and Canada are the most contributing countries for safety climate research. More collaboration on safety climate research is needed. Presently concentration in this research domain is found in certain countries, which creates geographical inequality in the publication in the purview of safety.


Keywords: bibliometric analysis, safety climate, organizational safety climate, safety performance, safety culture, health-care.


Muhammad Shoaib Saleem, Ahmad Shahrul Nizam Isha, Yuzana Mohd Yusop, Maheen Iqbal Awan, Gehad Mohammed Ahmed Naji

There is a dearth of research conducted in Jordan regarding contributing factors of physical activity among school students. The current study investigated the contributing factors of physical activity among Jordanian school students. A cross-sectional study design was used to collect data from 260 students using a self-reported questionnaire. The physical activity was measured by the International Physical Activity Questionnaire (IPAQ). The results indicated that more than half of the students reported being physically active (58.5%). In the past six months, physical activity among school students was associated with Body Mass Index (BMI) and self-perceived health status. Logistic regression indicated that students who perceived their health status as Very Good/Excellent were more likely to be active than those who perceived their health status as Fair/Poor/Good (OR = 5.19; CI = 2.940-9.194). This study offers new understanding of the factors affecting physical activity among school students. The results indicated that physical activity education should be compulsory in the school setting.


 Keywords:physical activity, school students, International Physical Activity Questionnaire.


Abdullah Alkhawaldeh1, Omar Al Omari, Mohammed Al Bashtawy, Moawiah Khatatbeh, Mohammad Suliman, Asem Abdalrahim, Jamal Qaddumi, Ali Ibnian, Bayan Al Bashtawy, Ahmad Ayed, Mahmoud Alsaraireh, Omar Khraisat, Khloud Al Dammerry, Sa’d Al Bashtawy

This paper discusses recent research advancements in the use of FlexSim for machine reliability, availability, and maintainability (RAM) optimization of manufacturing companies in discrete event simulations (DESs). An extensive collection of relevant articles was gathered from the literature and reviewed to provide useful guidelines for companies in boosting their overall profits via FlexSim simulation. The main areas in which FlexSim has been used are spare parts inventory management, queue scheduling policy, task allocation, overall equipment effectiveness (OEE), process capability (PC), maintenance planning, and scheduling. The use of FlexSim has been very successful in these areas for efficient system reliability, availability, and maintainability optimization. Based on the findings in this work, FlexSim provides the basics for estimating the primary performance metrics of machines, such as mean time to failure (MTTF), equipment down time (EDT), and system availability values (Asys) for RAM analysis. The details derived from the study will allow management to determine a system’s RAM needs. However, the current FlexSim DES in manufacturing industries is based on individual RAM analysis, with no studies on establishing the relationship among the RAM components. The goal of this research was to highlight the possible ways to establish relationships in RAM studies for higher performance on equipment and quicker decisions when it comes to a choice of maintenance applications, especially when using the FlexSim software for DESs. Hence, improving the efficiency of the simulation results for both practical and academic applications. The study also provides tables and data that are useful for FlexSim-related simulations on RAM in industrial processing.


Keywords: discrete event simulation, FlexSim, RAM analysis.



Ruwaida Aliyu, Ainul Akmar Mokhtar

For the people of Riau, religious figures such as Ustadz Abdul Somad are some of the most influential figures. That is evidenced by the Riau Traditional Malay Institute (LAM) award: Datuk Seri Ulama Setia Negara, one of the highest titles for Riau traditional leaders of civil society. Even though Ustadz Abdul Somad did not come from a political background or a large Islamic social organization, he influenced the 2019 presidential election. It is evident from the LSI survey that Denny JA placed himself as the religious figure whose appeals were heard the most. This research uses the qualitative method with inductive thinking. In-depth interviews provided data collection, and data analysis was based on the subjective researchers' interpretation. The theory of religiosity by Glock and Stark is very relevant to be used as an analytical tool. That is also assisted by Hew Wai Weng's concept, which explores how the influence of UAS is built through visual aesthetics in social media. This study aims to provide an alternative solution regarding the importance of political evaluation and the combination of models of the influence of religious leaders as an effort to assess and measure the effectiveness of a political strategy in winning the presidential election contestation.


Keywords: influence, Ustadz Abdul Somad, 2019 presidential election.


M. Ashsubli, Muradi, D.S. Kartini, C. Paskarina
Journal of Hunan University Natural Sciences
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