Research Title: Evaluating Antibiotic Sensitivity Patterns of Pseudomonas in Relation to Specimen Type in Jordanian Hospitals

Author: Abdul Naseer Dokka, Published Year: 2019

Journal Of Pakistan Medical Association, 69

Faculty: Pharmacy

Abstract: Objective: To evaluate the sensitivity patterns of different antibiotics of pseudomonas in relation to specimen types. Methods: The quantitative retrospective study was conducted at Princess Iman Research and Laboratory Sciences Centre of Royal Medical Services, Amman, Jordan. The specimens of USS, urine, cerebral spinal fluid, and blood were collected from patients, who visited the hospital from January to September 2015. Drugs analysed included ampicillin, ceftazidime, ciprofloxacin, cefotaxime, cefoxitin, nitrofurantoin and gentamicin. Results: There were 358 samples collected. Ampicillin was found effective (p=0.002). There was a weaker correlation between amikacin and amoxicillin/clavulanic acid (r=-0.001). Similarly, nitrofurantoin was also effective (p=0.001), and the association between amikacin and ceftazidime was positive (r=0.998). Conclusions: The selected antibiotics were only examined, concerning the sensitivity patterns as data collected from the patients was insufficient for other drugs.

Keywords: Antibiotics, pseudomonas, Sensitivity Patterns, Specimen.

Research Title: Nanomedicines in Tuberculosis: Diagnosis, Therapy and Nondrug Delivery

Author: Abdul Naseer Dokka, Published Year: 2020

Faculty: Pharmacy

Abstract: Nanoparticle-based delivery systems represent a promising nano medications to deliver a therapeutic agent, selectively and effectively, to a specific tissue or organ in the body; thus treating chronic diseases such as tuberculosis. The delivery of first-line and second-line antituberculosis drugs, using synthetic or natural polymeric carriers, has been extensively reported as a potential intermittent chemotherapy. In addition to the prolonged drug release, this delivery system can enhance the therapeutic efficacy, reduce dosing frequency and side effects, and increase the possibility of selecting different routes of chemotherapy and targeting the site of infection. The choice of carrier, system stability, toxicity and production capacity are the main considerations during the development of such system. Regardless of the obstacles, the nano drug delivery have systems shown a promising effectiveness in treating TB.

Keywords: Nanomedicines Nanodrug delivery Chemotherapy Tuberculosis

Research Title: Legal Controls for Using Artificial Intelligence in the Field of Law

Author: Bassam Hamad Al-Tarawneh, Published Year: 2020

British Journal of Science, Vol. 19

Faculty: Law

Abstract: Artificial intelligence is one of the most advanced developments brought by human that will have a essential role and significant impact in the near future. Artificial intelligence is now turning to inventing machines that are not only able to work quickly and masterfully, but can mimic man in his behaviors and ideas. This development is known as the "Fourth Industrial Revolution" and therefore such revolution needs to develop most of the laws and legislation in most countries, as the applications of artificial intelligence has raised a lot of concerns among scientists and specialists, making it important to work on the definition of what the artificial intelligence could be : concept, role, areas and risks, and what are the ethical and legal frameworks and controls that must be subject to and its impact in the future of the law in particular. The research includes the definition of artificial intelligence, its origin and applications. In addition to the use of artificial intelligence in the field of law, its role, risks and applications, and highlights the international and Arab experiences in this field. The research also included ethical and legal aspects that controls the use of artificial intelligence in the field of law, in addition, this research presents some results and recommendations to be considered when talking about artificial intelligence.

Keywords: artificial Intelligence, Law, Ethical and Legal Controls, Artificial Intelligence Risk

Research Title: شركة التوصية بالاسهم في قوانين الشركات العربية بين جدلية الالغاء او الابقاء

Author: Bassam Hamad Al-Tarawneh, Published Year: 2020

االمجلة القانونية والقضائية مركز الدراسات القانونية والقضائية في دولة قطر,

Faculty: Law

Abstract: تأتي هذه الدراسة لتغطي جانباً على درجة من الاهمية في قانون الشركات الاردني ، وهو وجود نصوص قانونية خاصة بشركة التوصية بالاسهم لم تحظى يوما بفرصة للتطبيق ، فظلت نصوصاً نظرية فقط ، وحيث لم يتم التعرض سابقاً الى الاسباب التي منعت من تأسيس هذه الشركة فقد تناولت في هذه الدراسة الاسباب والمبررات القانونية والعملية التي منعت من تأسيس شركات التوصية بالأسهم في ظل قانون الشركات الاردني بقصد ان يتم الاخذ بعين الاعتبار مقدار الفوائد العملية المرجوة من وجود نصوص هذه الشركة وجوداً نظرياً، وفيما اذا كانت تحقق الغاية المقصودة منها ام لا ، وبخلاف ذلك فان هذه النصوص تظل احكاما نظرية ليس لها اي تطبيق على ارض الواقع.

Keywords: شركات، شركة التوصية بالاسهم ، القانون الاردني، شركة توصية مساهمة

Research Title: ANYONE CAN TALK TOOL

Author: Mohammad Taye, Published Year: 2016

Computer Applications: An International Journal (CAIJ), Vol.3, No.1

Faculty: Information Technology

Abstract: People who have problems with talking, in general, are facing difficulty in communication with others, these disabilities may cause embarrassment to them. Therefore, we have developed a new tool that could help speechless people to share their ideas and conversations with others. This tool will overcome these problems by turning sign language into spoken words, allowing easier communication with others. This project based on hardware device that convert Sign Language to voice. So, the person who cannot speck could be able to use it to transfer his sign to voice. The tool can be used by wearing the special hardware which consists of the smart gloves, a speaker and the interpreter box. Indeed, the sign language only used by speechless people so it’s not clear to anyone , so this tool convert the sign language to voice throw smart gloves that will understand the sign, and generate voice throw speaker .

Keywords: sign language, smart gloves, speaker, interpreter

Research Title: Social RE-PBL: An Approach for Teaching Requirements Engineering Using PBL, SNSs, and Cloud Storages and File-Sharing Services

Author: Lamis Al-Qoran, Published Year: 2021

International Journal of Information and Education Technology, 11

Faculty: Information Technology

Abstract: Requirements engineering process showed that it has the potential to affect software development process and consequently cause unexpected problems in the produced software. Reducing the likelihood of such issues requires proper preparation for software engineering students during their undergraduate studies to reduce the gap between theory and practice. Students must develop the soft skills that are needed to practice software engineering activities, especially requirements engineering. Accordingly, encouraging students to learn and practice requirements engineering concepts and activities are required. Students undertake the requirements engineering course in one semester, where the lecturer focuses on delivering the theoretical concepts to students which creates teacher-centred learning. It is difficult for students to develop the required critical thinking and communication skills that enable them to solve real-world problems in such a teacher-centred environment. This study uses Project-Based Learning (PBL), Social Networking Sites (SNSs) and cloud enhanced communication to design a non-traditional teaching approach to improve students’ learning and to achieve a learner-centred learning environment in a requirements engineering course. The developed approach was applied to a requirements engineering course at our university to investigate its effectiveness and its impact on students’ learning ability. The students in the investigational group learned with the new method; however, the students in the control group learned with the traditional learning method. The results of our experiment show that the proposed approach significantly improved the achievement, motivation and attitude of our students as well as their ability to approach and solve real-world problems.

Keywords: Project-based learning, RE education, social networks sites (SNSs) for education, teaching requirements engineering.

Research Title: Education for Sustainable Development: A Qualitative Analytical Study on the Impact of the Jordanian Universities’ Role in Supporting Innovation among University Students

Author: Amani Ghazi Jarrar, Published Year: 2021

International Journal of Higher Education, 10

Faculty: Arts

Abstract: This study aimed at exploring and theorizing the role of Jordanian Universities in supporting innovation among university students within the context of education for sustainable development from the point of view of Jordanian University students. For that, the researcher adopted the grounded theory methodology by Strauss and Corbin. The study was conducted at two Jordanian Universities: the University of Jordan and Philadelphia University in the academic year (2019-2020), and the study population consisted of students from the two universities. The researcher chose (300) students from both genders from different faculties and academic years. By applying the grounded theory, the study concluded that the key category that emerged after analyzing the student’s responses describing the impact of the Jordanian Universities’ role in supporting innovation among university students for educational sustainable development is the emphasis on the need for developing proper University innovation ecosystems in their educational systems. Also, the respondents- through online interviews - have emphasized this concept of proper University innovation ecosystems. The key category of this study found that positive and negative impacts could result from applying or neglecting to apply this concept, which generated behaviors toward the concept, which could be considered as the phenomena in the current research. https://files.eric.ed.gov/fulltext/EJ1309849.pdf

Keywords: Education; Sustainable Development; Jordanian Universities; Innovation.

Research Title: A Genetic Framework model for Self-Adaptive software

Author: Enas Tawfiq Al-Naffar, Published Year: 2017

JSE,

Faculty: Information Technology

Abstract: Self-adaptive software changes its behavior at runtime without affecting the ‎running system. It has recently been a rich research area. Lots of organizations have adopted it in ‎their environments to accommodate with changing requirements. Lots of bio-inspired research ‎works, which are better than the conventional ones, have been conducted in the area of self-‎adaptive software. All of them have focused on the external behavior of biological entities (like ‎birds, ants, immunity, etc.) without going in depth into their genetic material that causes this ‎behavior and constitutes the challenge the work presented in this paper dealt with. Materials and ‎Methods: This paper proposes a solution to the above current challenge by developing a ‎framework model for self-adaptive software; inspired by the adaptation (evolution) of biological ‎entities and taking into consideration the role of genetic material in the adaptation process. Its scope ‎is limited to changes that take place at runtime but that are known at design. Results: The obtained ‎framework model was evaluated through its reuse in software objects evolution. The practical and ‎theoretical obtained results were valuable in the object-oriented paradigm. The proposed framework ‎completes the others bio-inspired research current works by providing a natural implementing way. ‎The integration of the current bio-inspired approaches (which deal with natural entities behaviors ‎external modeling) with the proposed framework (which deals with genetics-inspired internal ‎modeling of these behaviors) will lead to homogenous and coherent bio-inspired approaches to ‎self-adaptive software. Conclusion: The proposed framework is limited to self-adaptations ‎predicted at the requirements and design steps in self-adaptive software engineering, which is ‎significant in practice. However, the unpredicted adaptation (to unpredicted errors, environment ‎requirements, etc.) will be a genetics-inspired approach real challenge. Separate evaluation of the ‎proposed framework performance is not determinant. However, the performance evaluation of the ‎actual bio-inspired hybrid approaches against the proposed integrated ones (which is impossible to ‎achieve actually) will be valuable. It might be expected that the integrated ones will be better (in the ‎whole self-adaptive software engineering processes) than the hybrid current ones. The homogeneity ‎of approaches has its important impact. ‎

Keywords: Self-adaptive software, Bio-inspired self-adaptive software, Genetics-inspired software modelling

Research Title: Classification and Prediction of Bee Honey Indirect Adulteration Using Physiochemical Properties Coupled with K-Means Clustering and Simulated Annealing-Artificial Neural Networks (SA-ANNs)

Author: Ahmad Jobran Al-Mahasneh, Published Year: 2021

Journal of Food Quality, 2021

Faculty: Engineering and Technology

Abstract: The higher demand and limited availability of honey led to different forms of honey adulteration. Honey adulteration is either direct by addition of various syrups to natural honey or indirect by feeding honey bees with sugar syrups. Therefore, a need has emerged for reliable and cost-effective quality control methods to detect honey adulteration in order to ensure both safety and quality of honey. In this study, honey is adulterated by feeding honey bees with various proportions of sucrose syrup (0 to 100%). Various physiochemical properties of the adulterated honey are studied including sugar profile, pH, acidity, moisture, and color. The results showed that increasing sucrose syrup in the feed resulted in a decrease in glucose and fructose contents significantly, from 33.4 to 29.1% and 45.2 to 35.9%, respectively. Sucrose content, however, increased significantly from 0.19 to 1.8%. The pH value increased significantly from 3.04 to 4.63 with increase in sucrose feed. Acidity decreased slightly but nonsignificantly with increase in sucrose feed and varied between 7.0 and 4.00 meq/kg for 0% and 100% sucrose, respectively. Honey’s lightness (L value) also increased significantly from 59.3 to 68.84 as sucrose feed increased. Other color parameters were not significantly changed by sucrose feed. K-means clustering is used to classify the level of honey adulteration by using the above physiological properties. The classification results showed that both glucose content and total sugar content provided 100?curate classification while pH values provided the worst results with 52% classification accuracy. To further predict the percent honey adulteration, simulated annealing coupled with artificial neural networks (SA-ANNs) was used with sugar profile as an input. RBF-ANN was found to provide the best prediction results with SSE = 0.073, RE = 0.021, and overall R2 = 0.992. It is concluded that honey sugar profile can provide an accurate and reliable tool for detecting indirect honey adulteration by sucrose solution.

Keywords: classification, prediction, k-means

Research Title: Stemming Effects on Sentiment Analysis using Large Arabic Multi-Domain Resources

Author: Said Ahmad Ammar Ghoul, Published Year: 2019

2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS),

Faculty: Information Technology

Abstract: Sentiment analysis is an area of great interest in research because of its importance and advantages in many different domains. Different approaches and techniques are used to classify the sentiment of texts, and there are different algorithms proposed to improve the performance through text preprocessing. Stemming is one of preprocessing step that is used in many research to enhance the performance of sentiment classification. In this research, we provide new comparative experiments on the impacts and effects of using two of the most commonly used stemmers in the Arabic language; light stemmer and Khoja stemmer in the preprocessing phase of sentiment analysis. We used large Arabic multi-domain datasets that include positive and negative reviews across multiple domains. Five classifiers are used; Naïve Bayes, support vector machines, k-nearest neighbors, decision trees, and logistic regression. The results indicate that Khoja stemmer outperformed that light stemmer Khoja stemmer in terms of precision, recall, f-measure, and accuracy, and it has an advantage in minimizing training time.

Keywords: Stemming, Sentiment Analysis, Arabic light stemmer, Khoja's stemmer