Research Title: Software Configuration Management in Evolutionary Processes: Tools and Best Practices

Author: Issa Ali Falah Atoum, Published Year: 2025

The 16th International Conference on Information and Communication Systems, JUST

Faculty: Information Technology

Abstract: In modern software development, the ability to manage frequent and complex changes is essential to maintaining the stability, quality, and long-term maintainability of software systems. Software Configuration Management (SCM) provides the processes and tools necessary to handle these changes effectively. Despite the availability of many well-known tools, many programmers and development teams have difficulty in choosing the right tool and do not know how effective each tool is, whether it is suitable for the task at hand, and whether it performs well in changing environments.To validate the tools’ support for change management and software development in this study, we reviewed several recently published papers to make careful comparisons between tools Monitoring systems during changes to ensure that errors do not occur. Our research discusses how to improve management, how to choose the right tools, and how to use appropriate criteria such as scalability, automation, and version control to evaluate and compare tools such as Git + GitOps, Docker , Kubernetes, Ansible, Terraform, and others. The application of SCM selection results highlight the difference in reducing errors and streamlining processes. Our study also identifies the strengths and weaknesses of these tools and their appropriate environments

Keywords: Software Configuration Management,SCM tools, Software configuration best practices

Research Title: Effect of aging on the main active ingredients in the volatile oil and crude methanolic extract from Achillea santolina

Author: Yousef Abdel-Kareem Abusamra, Published Year: 2025

BIOMEDICAL AND PHARMACOLOGY JOURNAL, 18

Faculty: Pharmacy

Abstract: Achillea santolina is an important plant in traditional medicine in Jordan. To utilize the herb throughout the year, the storage process seems to be inevitable. This study investigates the effect of aging for one year on the main active ingredients of the volatile oil and some predominant polar compounds in a methanolic extract of the aerial parts of the plant. Fresh and old samples were evaluated and compared for their antioxidant activity and content of the phenolic and flavonoid compounds. The antioxidant activity of A. santolina was weaker than ascorbic acid (IC50 values for the old, fresh samples, and ascorbic acid: 185.6, 171.4, and 61.3, respectively). Plant storage did not affect the antioxidant capacity and the total phenolic and flavonoid content. Semiquantitative analysis using GC-MS showed that the storage process significantly affected the volatile oil content. Several monoterpenoid and sesquiterpenoid compounds significantly diminished or were even absent in the old sample. Conversely, the content of the polar compounds was not affected by the storage process. The polar compounds derived from azulene, naphthalene, and anthracene dominated the fresh and old samples. The azulene compound achillicin was noticeably abundant in both samples. In conclusion, the volatile oil content seemed to play a pivotal role in the activity of A. santolina, and consequently, storage for one year adversely affected its activity.

Keywords: Achillea santolina, Essential oil, Methanolic extract, Phenolics, Storage, Terpenoids,

Research Title: AI-Driven Classification of Academic and Psychological Challenges in Higher Education

Author: Mohammad Atallah Al-Oudat, Published Year: 2025

2025 International Conference on New Trends In Computing Sciences (ICTCS), Jordan - Amman

Faculty: Information Technology

Abstract: Abstract—Students enrolled in university experience academic along with mental stressors, which negatively impact their academic results. The research implements artificial intelligence methods for classifying and forecasting the difficulties which higher education students encounter within Jordanian universities. An electronic questionnaire was designed through structured procedures and received validation from eight academics before being distributed to 1020 students. Statistical analysis through Statistical Package for the Social Sciences (SPSS) validated the questionnaire data while testing the reliability of its findings. Students were classified into four categories—Academic Difficulties and Academic and Psychological Challenges and Psychological Distress alongside Normal—through the utilization of the GPT-4o mini API as a Large Language Model (LLM). Machine learning algorithms were applied to evaluate classification performance. Support Vector Machine (SVM) demonstrated the best result among classification models with an accuracy rate of 88.2% while Logistic Regression came second with 87.7?curacy. A significant number of 54.7% students faced academic challenges while 60.8% of students reported psychological issues. The generated results will assist educational institutions by guiding their early prevention programs along with choosing appropriate assistance methods to enhance educational outcomes.

Keywords: Academic and Psychological Challenges, Large Language Models (LLM), Jordanian Higher Education, Machine Learning for Classification

Research Title: Smart housing: integrating machine learning in sustainable urban planning, interior design, and development

Author: Rana Ali Abu Osba, Published Year: 2025

Asian Journal of Civil Engineering, 1

Faculty: Architecture and Design

Abstract: Smart housing, therefore, theoretically becomes very vital in this context of a smart city for sustainable urban planning and development. Machine learning technologies can be considered quite fundamental in enhancing efficiency, sustainability, and livability through incorporating into smart housing. However, rapid urbanization, population growth, traffic congestion, and energy management are huge problems. The main objective of this research work is to identify the feasibility of ML application in smart housing for resource management optimization, environmental sustainability, and public safety. It conducts an analysis on key factors like energy consumption, waste management, and public safety measures by applying machine learning’s efficient algorithms on the comprehensive dataset. There is a 20?crease in total energy consumption, 15% increase in renewable source energy consumption, and a 25?ficiency improvement in waste management. In addition, public safety response times decreased by 30%. Also, ML models gave out very accurate predictions for power use, traffic patterns, and air quality that turned out with an average accuracy of 92%, thus saving 10?rbon emissions. The study clearly showed that ML will play a very key role in housing planning and interior design. The results bring out the importance of ML in tackling challenging urban issues and promoting better sustainable urban planning practices.

Keywords: Housing and planning · Machine learning · Sustainable urban planning · Interior design · Sustainable bulding

Research Title: Evaluation of knowledge, attitude, and perception among healthcare workers towards monkeypox and its vaccines: A systematic review

Author: Rabia Hani Amin Haddad, Published Year: 2025

Microbes and Infectious Diseases, 6 (2)

Faculty: Nursing

Abstract: Background: The Monkeypox (Mpox) outbreak in 2022, primarily spread through intimate contact with affected animals and contaminated objects, has raised concerns about its global health impact, especially in healthcare settings, due to potential human- to-human transmission. Healthcare Providers (HCPs) knowledge and attitudes about infectious diseases like Mpox can significantly impact their management and transmission risk reduction. However, gaps in awareness and varying attitudes may hinder vaccine uptake and safety concerns. This review aims to investigate the current knowledge, attitudes, and perceptions of Mpox among HCPs. Methods: This systematic review analyzed cross-sectional studies published between 2020 and 2024 using PubMed, Scopus, Web of Science, Cochrane Library, and Google Scholar. The quality of the studies was assessed using the Joanna Briggs Institute's quality checklist. Results: This analysis comprised a total of 15 studies. The findings indicate that HCPs' awareness, attitudes, and knowledge of Mpox varied among the included research conducted in various locations and eras. Furthermore, HCPs' knowledge, attitudes, and awareness regarding Mpox are greatly influenced by specific demographic traits, such as occupation and educational attainment. Five research examined associated aspects of HCPs' awareness, attitudes, and knowledge regarding Mpox. Nine research were solely concerned with evaluating knowledge about Mpox. Furthermore, only one study assessed HCPs' knowledge of Mpox directly. Conclusion: This study of HCPs' knowledge, attitudes, and perceptions about monkeypox and vaccines reveals disparities in knowledge and the effectiveness of public health measures. Addressing these gaps requires education, training, and awareness initiatives.

Keywords: Attitudes Healthcare providers Human monkeypox Knowledge Perception

Research Title: Physiological and transcriptomic responses of Chlorella vulgaris to novel antibacterial nanoparticles of ethyl cyanoacrylate polymer

Author: Ayat Jabr Salem Al-Azab, Published Year: 2025

Environmental Science: Nano, 12

Faculty: Science

Abstract: Ethyl cyanoacrylate nanoparticles (ECA-NPs) have recently been reported as promising novel antibacterial NPs capable of inhibiting the growth of several Gram-positive and Gram-negative bacteria. However, the effects of ECA-NPs on microalgae, which are primary producers in aquatic ecosystems, remain unknown. In this study, we examined the effects of ECA-NPs on the microalga Chlorella vulgaris (Chlorella) at both cellular and molecular levels. A high concentration of ECA-NPs (100 μg mL−1) exhibited strong growth inhibitory effects on Chlorella. In the ECA-NP-treated cells, transmission electron microscope (TEM) observations showed the prominent internalization of ECA-NPs in the periplasmic space and vacuoles. Moreover, notable morphological changes such as a thinner cell wall, stacked thylakoid structure, and plasmolysis were observed. ECA-NP exposed Chlorella secreted more extracellular polymeric substances (EPS) and accumulated more storage lipids (mainly triacylglycerol, TAG) compared to the control. However, the contents of total fatty acids and starch were decreased, and photosynthetic activity was reduced. In addition, the content of intracellular reactive oxygen species (ROS) and the activities of antioxidant enzymes in ECA-NP-treated cells were significantly higher than those in the control. Transcriptomic analysis revealed the downregulation of genes that are involved in the drug binding/catabolic process, chemical stimulus detection, and cell wall component catabolic process (chitin catabolism), while genes involved in the photosynthetic membrane and plastid thylakoid were upregulated. These results indicated that the effects of ECA-NP exposure are not limited to specific metabolic pathways, but rather influence metabolic pathways across the entire cell. This study also provided new insights into the potential toxic effects associated with cyanoacrylate NPs in phytoplankton.

Keywords: ATO1

Research Title: On the Line Graph for Zero‐Divisors of C(X)

Author: Ghada Mohammad Al Afifi, Published Year: 2013

International Journal of Combinatorics, 2013, Issue 1

Faculty: Science

Abstract: Let be X a completely regular Hausdorff space and let C(X) be the ring of all continuous real valued functions defined on X. In this paper, the line graph for the zero-divisor graph of C(X) is studied. It is shown that this graph is connected with diameter less than or equal to 3 and girth 3. It is shown that this graph is always triangulated and hypertriangulated. It is characterized when the graph is complemented. It is proved that the radius of this graph is 2 if and only if X has isolated points; otherwise, the radius is 3. Bounds for the dominating number and clique number are also found in terms of the density number of X.

Keywords: zero-divisor graph, line graph, connected, dominating number, clique number.

Research Title: COMPLEMENT GRAPHS FOR ZERO-DIVISORS OF C (X)

Author: Ghada Mohammad Al Afifi, Published Year: 2014

Jordan Journal of Mathematics and Statistics, 7

Faculty: Science

Abstract: Let X be a completely regular Hausdorff space and let C (X) be the ring of all continuous real valued functions defined on X. The complement graph for the zero-divisors in C (X) is a simple graph in which two zero-divisor functions are adjacent if their product is non-zero. In this article, the complement graph for the zero-divisor graph of C (X) and its line graph are studied. It is shown that if X has more than 2 points, then these graphs are connected with radius 2, and diameter less than or equal to 3. The girth is also calculated for them to be 3, and it is shown that they are always triangulated and hypertriangulated. Bounds for the dominating number and clique number are also found for them in terms of the density number of X.

Keywords: Zero- divisor graph, Line graph, Connected, Clique number, Dominating number.

Research Title: On the characterization of Harmonized fuzzy subgroups θ Open set

Author: Ghada Mohammad Al Afifi, Published Year: 2025

Faculty: Science

Abstract: In this paper, we continue to discuss the concept of harmonized fuzzy subgroups. We present the harmonized fuzzy coset and harmonized fuzzy normal subgroup and their properties. We also study the effect of group homomorphism on harmonized fuzzy subgroups. Finally, we define and study the cartesian product of two harmonized fuzzy subgroups.

Keywords: Harmonized fuzzy coset subgroup; Harmonized fuzzy normal subgroup; Group homomorphism

Research Title: Subgroups and Homomorphism Structures of Complex Pythagorean Fuzzy Sets

Author: Ghada Mohammad Al Afifi, Published Year: 2024

Faculty: Science

Abstract: This research introduces the notion of complex Pythagorean fuzzy subgroup (CPFSG). Both complex fuzzy subgroup (CFSG) and complex intuitionistic fuzzy subgroup (CIFSG) have significance in assigning membership grades in the unit disk in the complex plane. CFSG has a limitation solved by CIFSG, while CIFSG deals with a limited range of values. The important novelty of the CPFSG lies in its ability to solve the above limitations simultaneously and gets a wider range of values to be engaged in CPFSG. This work has introduced and investigated CPFSG as a new algebraic structure via the conditions that the sum of the square membership and non-membership lies on the unit interval for both the amplitude term and phase term. The result as any CIFSG is CPFSG but the convers is not true has been proved. Complex Pythagorean fuzzy coset has been defined and complex Pythagorean fuzzy normal subgroup (CPFNSG) and their algebraic characteristic has been demonstrated. Homomorphism on the CPFSG is shown. Some results as the inverse image of CPFSG and CPFNSG under isomorphism function are also a CPFSG and CPFNSG, respectively.

Keywords: Complex Pythagorean fuzzy subgroup, complex Pythagorean fuzzy coset, complex Pythagorean fuzzy normal subgroup, Fuzzy subgroups, complex fuzzy subgroups, Intuitionistic fuzzy subgroups, Complex Intuitionistic fuzzy subgroups. Pythagorean fuzzy subgroups, Pythagorean fuzzy Normal subgroup, homomorphism of Pythagorean fuzzy subgroup