Research Title: الحماية الجزائية للطفل من الاستغلال الجنسي عبر الألعاب الإلكترونية : دراسة مقارنة بين القانونين الأردني والإماراتي

Author: Moayd Husni Al-Kawaldah, Published Year: 2024

مجلة الدراسات الجامعة الأردنية, علوم الشريعة والقانون , المجلد 51, العدد 4

Faculty: Law

Abstract: الأهداف: هدفت الدراسة إلى بيان مدى الحماية القانونية التي توفرها القوانين الجزائية في الأردن ودولة الإمارات في تحقيق الردع العام والردع الخاص لمجرمي الاستغلال الجنسي للأطفال عبر الألعاب الإلكترونية، باعتبارها من أهم الوسائل التي يستغلها المجرمون لارتكاب هذه الجريمة البشعة والدنيئة ضد أضعف فئات المجتمع. المنهجية: تم اتباع المنهج الوصفي والتحليلي والمقارن؛ فالمنهج الوصفي من خلال دراسة القوانين الأردنية والإماراتية ذات العلاقة بالاستغلال الجنسي للأطفال عبر الألعاب الإلكترونية، والمنهج التحليلي من خلال تحليل تلك القوانين السابقة، والمنهج المقارن من خلال المقارنة بين القانون الأردني والإماراتي، وإظهار جوانب القوة والضعف في كل قانون. النتائج: توصلت الدراسة إلى أنه لم ينص المشرع الأردني على التدابير الضرورية لحماية الأطفال من الاستغلال الجنسي الذي يقع عليهم، على العكس من ذلك، فإن المشرع الإماراتي نص على تلك التدابير لأنها تساهم بشكل مباشر وتعمل بشكل علاجي ووقائي على منع وقوع الاستغلال الجنسي ضد الأطفال. الخلاصة: توصي الدراسة بأنه يجب على المشرع الأردني أن ينص صراحة في قانون الجرائم الإلكترونية الأردني، وكذلك الأمر المشرع الاماراتي في قانون الجرائم الإلكترونية الإماراتي على جريمة هتك العرض الإلكترونية، وكما توصي الدراسة بأن على المشرع الأردني ان يضيف تدابير ضرورية لحماية الأطفال من الاستغلال الجنسي في قانون حقوق الطفل الأردني، كالتي نص عليها المشرع الإماراتي في قانون حقوق الطفل في المادة (54).

Keywords: الطفل ، الألعاب الإلكترونية ، الاستغلال الجنسي، الإنترنت، المواقع الإلكترونية، الحماية الجزائية

Research Title: , Internet Begging: A Comparative Study between Jordanian and UAE Law and International Law

Author: Moayd Husni Al-Kawaldah, Published Year: 2024

Journal of Ecohumanism, Volume 3, Issue 7,p2

Faculty: Law

Abstract: Abstract The aim of the study is to show the extent of the criminal liability of perpetrators of Internet begging who solicit others’ sympathy on social media with the aim of obtaining financial compensation, which is through electronic transfers through various electronic means of payment. This requires a national and international legal action to curb this crime because it is on the rise. This study followed the descriptive, analytical and comparative approach. The descriptive approach is through the study of national laws in the Hashemite Kingdom of Jordan, laws in the United Arab Emirates and relevant international laws. The analytical approach is through the analysis of those previous laws. The comparative approach is through the comparison between the previous laws and the demonstration of strengths and weaknesses in each law. The study found that the UAE legislator was better than the Jordanian legislator when explicitly providing the crime of Internet begging in the Cybercrime Act because this shows the importance of the crime and illustrates its devastating effects on society, but the Jordanian legislator refers this crime to the Jordanian Penal Code, and the perpetrator is punished with a penalty that is more severe than provided by the UAE Cybercrime Act. With regard to the recommendations, I wish the Jordanian legislator to explicitly provide the crime of Internet begging and the proposed provision as follows: "anyone who commits the crime of Internet begging using the means of Information Technology in any form or means shall be punished with imprisonment for a period of not less than three months or a fine of not less than five thousand dinars and not more than ten thousand dinars or both of these penalties."

Keywords: nternet begging Cybercrime Criminally Responsible Social Media Sites

Research Title: Enhanced Sentiment Classification through Ontology-Based Sentiment Analysis with BERT

Author: Mohammad Taye, Published Year: 2025

Journal of Internet Services and Information Security, 15

Faculty: Information Technology

Abstract: The computerized examination of the feelings and evaluations of individuals concerning an entity or product is known as sentiment analysis, and it is carried out at the document, sentence, phrase, and function ranges. This method is used to accumulate customer remarks on quite a few products and services. Aspect-primarily based sentiment detection equipment deal with the opinions of customers regarding particular product capabilities. Nevertheless, the presentation of these outcomes in a manner this is each effective and concise is a hard project due to the numerous capabilities that a product may additionally possess. A quintessential part of Natural Language Processing (NLP), Sentiment Analysis (SA) makes it feasible to decipher the emotions expressed through humans in written words. Combining BERT with ontology-based totally sentiment evaluation is the focal point of this look at's investigation right into a hybrid technique. We advocate a combined device that makes use of BERT to supply better contextual facts and ontologies as structured lexicons for issue-based totally sentiment evaluation. By combining the electricity of BERT with the advantages of ontology-based strategies, we need to improve sentiment evaluation accuracy and offer more nuanced insights on person evaluations.

Keywords: Ontology, Sentiment Analysis, BERT, Natural Language Processing.

Research Title: Computational Network Pharmacology, Molecular Docking, and Molecular Dynamics to Decipher Natural Compounds of Alchornea laxiflora for Liver Cancer Chemotherapy

Author: Balakumar Chandrasekarn, Published Year: 2025

Pharmaceuticals, 18

Faculty: Pharmacy

Abstract: Background: Alchornea laxiflora (Benth.) Pax & K. Hoffm. (A. laxiflora) is utilized as a traditional herb for treating several diseases. Objective: Our study aims to identify the active phytochemical candidates from A. laxiflora and analyses to predict their anticancer activity mechanism by employing network pharmacology, molecular docking, and molecular dynamics (MD). Methods: The phytoconstituents of A. laxiflora were retrieved from the literature, and phytoconstituent-related targets implicated in hepatocellular carcinoma (HCC) were collected from respective databases. Computational methods were employed to recognize essential compounds, hub gene targets, and signaling pathways. Results: Our study has identified 12 potentially bioactive compounds, 150 potential anti-HCC targets, and 15 hub gene targets for A. laxiflora. Molecular docking results recognized the better binding energy values of below −5.6 kcal/mol. Further, MD simulations of the three of the top-scoring protein–ligand complexes (MAPK—3-acetylursolic acid, AKT1—quercetin, and AKT1—3-acetylursolic acid) allowed us to validate the docking results, evaluate the stability of the complexes, and associated conformational changes. Conclusions: Our research claims that phytoconstituents of A. laxiflora are crucial for treating liver cancer, and the recognized protein targets can serve as biomarkers, respectively.

Keywords: Alchornea laxiflora; liver cancer; network pharmacology; molecular docking; molecular dynamics simulation

Research Title: A Green, Solvent- and Cation-Free Approach for Preparing 5-Fluorouracil-Loaded Alginate Nanoparticles Using Microfluidic Technology

Author: Mohammad Bayan, Published Year: 2025

Pharmaceutics, 17

Faculty: Pharmacy

Abstract: Background/Objectives: Alginate nanoparticles (NPs) are commonly synthesised using either an emulsion technique that involves organic solvent use or ionotropic gelation utilising multivalent cations, e.g., Ca+2. However, the extensive use of organic solvents imposes detrimental effects on the ecosystem, and using multivalent cations as crosslinkers could eventually lead to the leakage of these cations, thus disrupting nanoparticle matrices. Therefore, this study aimed to overcome the limitations of these techniques by eliminating the usage of organic solvents and multivalent cations. Methods: In this research, alginate nanoparticles were synthesised using proton gelation by microfluidic technology through protonating alginate carboxylate groups to crosslink alginate chains through H-bond formation. Results: The prepared acid-gelled alginate nanoparticles demonstrated an MHD circa 200 nm and a PDI of less than 0.4 at pH 0.75. Moreover, 5-FU was successfully encapsulated into acid-gelled alginate nanoparticles and displayed a high EE% of around 30%, comparable to the EE% at high alginate concentration and molecular weight (0.4 H-ALG) achieved by Ca+2-crosslinked alginate nanoparticles; however, 5-FU NPs had superior characteristics, i.e., a lower MHD (around 500 nm) and PDI (<0.5). The optimum formula (0.4 H-ALG) was explored at various pH values, i.e., low pH of 4.5 and high pH of 10, and alginate NPs produced by acid gelation demonstrated high stability in terms of MHD and PDI, with slight changes at different pH values, indicating stable crosslinking of alginate matrices prepared by technology compared with Ca+2-crosslinked alginate NPs. Conclusions: In conclusion, this research has invented an ecologically friendly approach to producing acid-gelled alginate nanoparticles with superior characteristics compared with the conventional methods, and they could be harnessed as nanocarriers for therapeutics delivery (5-FU). Also, this research offers a promising approach for developing eco-friendly and biocompatible drug carriers. The produced nanoparticles have the potential to enhance drug stability, improve controlled release, and minimise toxic effects, making them suitable for pharmaceutical applications.

Keywords: alginate nanoparticles; 5-FU; microfluidic technology; proton gelation; ecologically friendly; optimum formula

Research Title: Computational and Experimental Insights into the Anticancer Activity of Benzylidene Amino Benzoate Derivatives: A Study Based on Docking, DFT, and In Vitro Assays

Author: Adnan Dahadha, Published Year: 2025

Journal of Molecular Structure,

Faculty: Science

Abstract: Series of benzylidene amino benzoate derivatives were synthesized under mild conditions, chemical structure of the synthesized compounds was confirmed through different spectroscopic analysis. Anticancer activity was evaluated against four cancer cell lines (PC3, A549, A2780, and MDA-MB-231). The results showed potent cytotoxic effects with notable selectivity. Compounds 5, 6, 9, and 10 displayed significant activity, with IC50 values ranging from 0.11 µM to 1.37 µM. Molecular docking studies indicated favourable binding affinities for compound 8 toward different tyrosine kinases receptors, with the highest affinity for binding to VEGFR2. This result was consistent with 76.25% in vitro inhibition activity against VEGFR2. Docking simulations revealed that hydrogen bonds could form between compound 8 and the residues Asp 1046 and Lys 868, while electrostatic interactions were observed with residues His 1026 and Glu 885, at the ATP-binding pocket. The compounds complied with Lipinski's Rule of Five, supporting their suitability for further development as orally active drugs. Non-substrate behaviour toward P-glycoprotein was observed for the synthesized compounds, implying they were unlikely to be expelled by this transporter. DFT calculations highlighted important reactive regions within the target compound, particularly around the nitro and ester groups, which participated in hydrogen bonding interactions. Furthermore, FMO suggested versatility in the chemical reactivity. Enhanced inhibition of VEGFR2 by compounds like 5 and 8 was predicted with lower chemical potential and higher electrophilicity indices. Based on these findings, imine compounds should be prioritized for the synthesis of more derivatives and for in vivo studies to enhance their therapeutic efficacy as anticancer agents.

Keywords: Benzylidene Amino Benzoate

Research Title: Polyvinyl Alcohol and Polyvinylpyrrolidone as Efficient Catalysts for the Reaction of Acetylsalicylic Acid with Potassium Permanganate in Sulfamic Acid Medium

Author: Adnan Dahadha, Published Year: 2025

Topics in Catalysis,

Faculty: Science

Abstract: The catalytic effects of two water-soluble polymers, polyvinyl alcohol (PVA) and polyvinylpyrrolidone (PVP), on the oxidation kinetics of acetylsalicylic acid by potassium permanganate in the presence of sulfamic acid were examined for the first time. The progress of the oxidation reaction in acidic aqueous solutions was monitored using a spectrophotometric method. The kinetic experiments were conducted under pseudo-first-order reaction conditions with respect to the oxidant. The current study confirmed that the oxidation reaction follows first-order kinetics for [potassium permanganate] and fractional orders for [acetylsalicylic acid] and [hydrogen ion]. Additionally, the reaction rate constants significantly increased in the presence of PVA and PVP. Consequently, Piszkiewicz’s cooperativity and Benesi-Hildebrand equations were effectively applied to the kinetic data to explain the catalytic behaviour of these polymers. The activation energy, enthalpy, and entropy of the studied reaction were determined using Arrhenius and Eyring equations. A plausible mechanism and rate law consistent with the kinetic data were proposed.

Keywords: Polyvinyl Alcohol, Polyvinylpyrrolidone

Research Title: توظيف الذكاء الاصطناعي في تعليم اللغة والنحو لطلبة أقسام اللغة العربية: دراسة ميدانية لتأثير التقنيات الحديثة على تطوير المهارات اللغوية

Author: Omar Hajeej Alrawajfeh, Published Year: 2025

Faculty: Arts

Abstract: ملخص الأهداف: يهدف هذا البحث إلى استقصاء دور الذكاء الاصطناعي في تطوير تعليم طلبة أقسام اللغة العربية في الجامعات، مع التركيز على تحليل الفوائد والتحديات المترتبة على استخدام هذه التقنيات. كما يستهدف البحث الوقوف على مدى تأثير الذكاء الاصطناعي في تعزيز كفاءة الطلاب، وتحسين جودة تعلمهم، بالإضافة إلى ذلك تحقيق الأهداف التعليمية بشكل أسرع وأكثر دقة، أيضا إلى استكشاف الفجوة بين الواقع الحالي لإدماج الذكاء الاصطناعي في التعليم والفرص المستقبلية. المنهجية: اعتمد البحث على استبيان ميداني مُصمم بعناية طبق على عينة شملت 216 طالبًا وطالبة من قسم اللغة العربية في جامعة فيلادلفيا في الأردن. وقد تنوعت أسئلة الاستبيان لتغطي الجوانب العامة لاستخدام الذكاء الاصطناعي، مثل زيادة المعرفة، وتحسين الأداء الأكاديمي، وحل الواجبات، بالإضافة إلى قياس تصورات الطلاب حول تأثير الذكاء الاصطناعي في الكفاءة والقدرة على التعلم. النتائج: أظهرت النتائج أن الذكاء الاصطناعي يمثل إضافة نوعية للتعليم الجامعي، حيث رأى غالبية الطلاب أنه يسهم في توفير الوقت والجهد وتحسين جودة الأداء الأكاديمي. ومع ذلك، أشارت النتائج إلى تحديات متعلقة بجودة المخرجات باللغة العربية، وضعف التدريب على استخدام التقنيات، كذلك الاعتماد المفرط على الذكاء الاصطناعي مما قد يؤثر سلبًا على تطوير مهارات التفكير النقدي والإبداعي. الخلاصة: يعكس البحث أهمية الذكاء الاصطناعي بوصفه وسيلة تعليمية واعدة، لكنه يبرز الحاجة إلى تطوير أدوات وتقنيات أكثر توافقًا مع خصوصيات اللغة العربية، إضافةً إلى ضرورة تعزيز الوعي الأكاديمي حول الاستخدام الأمثل لهذه الأدوات، بما يضمن تحسين جودة التعليم ويقلل من المخاطر المرتبطة باستخدامها.

Keywords: التعليم الإلكتروني، اللغة العربية، الذكاء الاصطناعي، اللسانيات الحاسوبية

Research Title: The Role of Fintech and Financial inclusion in the economic development of countries: A comparative analysis

Author: Izzeddien Naef Ananzeh, Published Year: 2025

Bank and Banks, 20

Faculty: Business

Abstract: The integration of digital financial technology has revolutionized the global financial system, driving financial inclusion as an important pillar of sustainable economic development. This study examines the multidimensional effects of Digital Financial Technology and Financial Inclusion for Economic Development in middle- and highincome countries. The study employs various indicators of financial inclusion and technology, namely access to the internet, Automated Teller Machines (ATMs), bank branches, and the number of depositors using panel regression analysis covering 20 middle-income countries and 22 high-income countries from 2010 to 2021. The regression analysis results show that ATMs, internet access, bank branches, and number of depositors all have a positive correlation with the Index of Human Development, which was used to measure economic development. This supports the idea that wider use of technology and increased financial inclusion can lead to higher levels of human development. Conversely, the study highlights a negative correlation between inflation rates (as a control variable) and the Human Development Index (HDI) emphasized the significance of maintaining price stability for sustained economic progress. The study concludes that digital financial technology and financial inclusion positively impact the economic development of countries and the disparity between middle- and high-income countries. So, the middle-income countries should prioritize t

Keywords: financial technology, financial inclusion, economic development, panel regression analysis, middle-income countries, high-income countries

Research Title: Anticancer and Cyclooxygenase Inhibitory Activity of Benzylidene Derivatives of Fenobam and its Thio Analogues

Author: Wafa Moh'd Khair Hourani, Published Year: 2025

Faculty: Pharmacy

Abstract: Abstract: Introduction: A series of benzylidene derivatives of fenobam and its thio analogues (1-22) have been evaluated for their cytotoxicity against breast cancer (MCF-7, MDA-MB-231), ovarian cancer (A2780, SKOV-3) and cervical cancer (HELA) cell lines. Method: These compounds (1-22) exhibited 72-83% inhibition of Erk activity against the ovarian cancer cell line (A2780). Compounds 3 and 20 showed the highest DNA damage effect in comet assay against the A2780 cancer cell line as compared to the other tested analogues (4, 8, 11, 12, and 13) by using % Tail DNA and OTM. Compounds 3, 4, and 11 showed significant activities and selectivity towards COX-2 with 78%, 97%, and 89% inhibition, as compared to 17%, 57%, and 26% inhibition against COX-1 isoenzyme, respectively. Results: Interestingly, molecular docking scores were also in very good agreement with the experimental results regarding discriminating the selectivity index of the tested compounds against COX-1 & COX-2 enzymes. Further molecular dynamics (MD) simulation study revealed that the most selective compound, 13, binds with the COX-2 enzyme in a similar fashion to that of Rofecoxib, which was further supported by their MD-based free binding energies (MM-GBSA) of -49.76 ± 4.27 kcal/mol, and -44.84 ±3.78 kcal/mol, respectively. Conclusion: Moreover, in silico ADMET predictions showed adequate properties for these compounds, making them promising leads worthy of further optimization.

Keywords: cancer