Research Title: الثنائيات الضدية في قصص مهند العزب القصيرة جدا

Author: Leedya Rashed Abu mariam, Published Year: 2026

مجلة المنارة للدراسات والبحوث, 1

Faculty: Arts

Abstract: تتناول الدراسة "الثنائيّات الضديّة" في المجموعات الثلاثة للكاتب الأردنيّ مهند العزب (رؤى الخفاش، صولو، أرواح مشروخة) لثرائها اللافت بالثنائيّات الضديّة المُنزاحة إلى دلالات متنوّعة، تجسّد رؤى الكاتب وتصوراته للعالم والإنسان والحياة، فالقصص تسلّط الضوء على كيفيّة رؤية الشيء من خلال ضدّه، وقد اتّخذت هذه الثنائيّات أشكالًا متعددة، هي: (العنوان عتبة فنيّة نحو العمق الإنسانيّ، الكفيف مُبصرًا، بصيرة الخفاش، العتمة النورانيّة، الانكشاف أمام المرآة)، وهي أشكال قدّمت المضامين بصورة مكثّفة غير نمطيّة، فقد أخرج العزب هذه الأمور عن طبيعتها؛ لتؤدي دلالات جديدة بأسلوب بلاغيّ وتكثيف دلاليّ واقتصاد لغويّ لحق الإنسان وحاجته في التبصّر القلبيّ، وقد ارتأت الدراسة الاستناد إلى مقولات التيار السيمولوجي.

Keywords: الثنائيّات الضديّة، مهند العزب، القصة القصيرة جدًا، التيار السيمولوجي.

Research Title: The nexus between AI-driven capabilities and knowledge systems in digital business environments”

Author: Muneer Mujalli Abdel-Muti AlRwashdeh, Published Year: 2026

Knowledge and Performance Management, 10

Faculty: Business

Abstract: The increasing development of digital business environments has contributed to the diversification of knowledge sources globally, making smart knowledge management crucial for enhancing the accuracy of decision-making processes. This study aims to investigate the impact of AI-driven capabilities, including adaptive learning, intelligent analytics, automation capability, integration capability on knowledge systems, and the role of smart knowledge management as a mediating factor within the context of the Federal Civil Service Council in Baghdad, Iraq. The study employed a quantitative method to collect data between April 2025 and August 2025 from 161 employees with at least three years of experience in knowledge management, organizational content and records, data, and machine learning. This sample included knowledge manage ment managers, knowledge management specialists, data analysts, knowledge sup port technicians, and operations managers at the Federal Civil Service Council. The findings indicate that enhancing AI-driven capabilities across the four dimensions of adaptive learning, intelligent analytics, automation capability, and integration capabil ity contributes to organizational success. This is evident from the correlation between adaptive learning (p = 0.012, < 0.279), analytical intelligence (p = 0.018, < 0.213), au tomation capabilities (p = 0.02, < 0.05), and knowledge systems. The study found that intelligent knowledge management plays a crucial mediating role in the relationship between AI capabilities and knowledge systems, contributing to the success of digi tal organizations and the accuracy of decision-making. This is further demonstrated by the positive correlation between the dimensions of AI capabilities and knowledge systems.

Keywords: automation capability, analytical intelligence, adaptive learning, integration capability, knowledge systems, smart knowledge management

Research Title: N‑dodecyl β‑D‑glucopyranoside micelles catalyzed reaction of ascorbic acid with azure A chloride salt dye in acidic aqueous solution A kinetic, thermodynamic, and mechanism study

Author: Mariam Fathi Qderate, Published Year: 2024

Faculty: Science

Abstract: The current study has investigated the reaction of ascorbic acid with azure A chloride salt dye spectrophotometrically by following the absorbance decline of azure A chloride salt at 630 nm in the presence and absence of a non-ionic micelle of the natural surfactant (N-dodecyl β-D-glucopyranoside). Thus, the primary aim was to examine the influence of the non-ionic natural surfactant on the reaction rates of ascorbic acid with azure A chloride salt dye in acidic aqueous media, as well as using the Piszkiewicz, Arrhenius, and Eyring equations to clarify its catalytic effect in pre- and micellar phases. Hence, the kinetic experiments were achieved by adapting pseudo-first-order reaction conditions with respect to the azure A chloride salt dye. However, the reaction was found to be fractional order with respect to the oxidant, reductant, and H2SO4. The findings reveal the reaction rates have been enhanced in the presence of N-dodecyl β-D-glucopyranoside through the formation of several hydrogen bonds, which play a significant role in the binding N-dodecyl β-D-glucopyranoside monomers and micelles with reactant molecules in pre-micellar and micellar phases, in addition to determination of critical micelle concentration of N-dodecyl β-D-glucopyranoside at specific conditions. Thus, the aspects of kinetic features, thermodynamic parameters, the products at the end of the reactions, and their probable mechanism are estimated and discussed

Keywords: Ascorbic acid · Azure A chloride salt · Non-ionic micelles · N-dodecyl β-D glucopyranoside · Pre- and micellar phases

Research Title: Corrosion inhibition of aluminum in HBr solutions by nonionic surfactants at different temperatures

Author: Mariam Fathi Qderate, Published Year: 2023

Faculty: Science

Abstract: The influence of nonionic surfactant micelles such as Tween 80, polyethylene glycol 400, and coco glucoside on the inhibition of aluminum corrosion in hydrobromic acid solutions was investigated via weight reduction, thermometric, and electrical conductivity techniques. In the absence of inhibitors, the rise in temperature and acid levels has led to a tremendous acceleration in the aluminum corrosion in HBr solutions. Intriguingly, coco glucoside, PEG 400, and Tween 80 have shown a remarkable inhibitory action on the corrosion of aluminum in the corrosive solutions at different temperatures. The findings demonstrated that the inhibition efficacy of inhibitors and the extent of surface coverage of the micelles on aluminum rise with higher concentration of the inhibitor and decline with rising temperature. Notably, Tween 80 was a more effective inhibitor than PEG 400, and coco glucoside at all temperatures. This effect may be explained by the force and type of their micelles’ adsorption on the aluminum surface, which occurs when hydrophilic regions of coherent layers of micelles donate their electrons to the metal surface. Also, the thermodynamic factors (ΔH0 , ΔS 0 , and Ea) for the corrosion and adsorption processes were assessed and addressed. The experimental data were best fit by models of Langmuir, Temkin, and Flory–Huggins adsorption isotherms fit each other well.

Keywords: corrosion inhibitor, aluminum, nonionic surfactants, micelles, adsorption isotherms.

Research Title: Production of High-Purity Sb Nano-Powders for Advanced Functional Materials: Zn-Driven Reduction of SbCl3 in Organic Media

Author: Mariam Fathi Qderate, Published Year: 2026

Faculty: Science

Abstract: Antimony nanomaterials are becoming increasingly important in advanced functional applications, including catalysis, sensing, optoelectronics, and energy systems, motivating the development of reliable synthetic routes capable of producing high-purity Sb at the nanoscale. This study establishes a direct Zn-mediated reduction pathway for converting SbCl3 into elemental Sb using acetone, ethanol, and methanol as reaction media. SbCl3 was first dissolved in each solvent, followed by controlled addition of Zn powder under mild heating (60 °C), magnetic stirring, and ultrasonic agitation. Acetone proved the most effective medium, achieving ~94% of the theoretical Sb yield, while suppressing the formation of the SbOCl intermediate observed in alcoholic solvents. Structural and compositional analyses using XRD and SEM/EDS confirmed the formation of a pure phase, nanocrystalline Sb with mean crystallite sizes of ~25 nm in acetone, ~27 nm in ethanol, and ~21 nm in methanol. TGA/DTA measurements from room temperature up to 800 °C revealed oxidative conversion to off-white antimony oxide under O2 atmosphere and the formation of molten Sb droplets under N2 atmosphere, consistent with the expected thermal transitions of high-purity Sb. Overall, the findings demonstrate that Zn-driven reduction of SbCl3 in high-purity organic media provides an efficient and scalable approach for producing Sb nano-powders with solvent-dependent yields and nanoscale structural characteristics.

Keywords: Sb nano-powder synthesis; Zn reduction pathway; structural and thermal analysis; functional Sb nanomaterials; energy and sensing applications

Research Title: A qualitative exploration of patients experiencing traumatic stress and receiving eye movement desensitization and reprocessing (EMDR) therapy based on an adaptive information processing model in Jordan

Author: Rabia Hani Amin Haddad, Published Year: 2026

Current Psychology, 45(4)

Faculty: Nursing

Abstract: The Adaptive Information Processing (AIP) model provides a strong theoretical framework that supports the modernization of EMDR research and its application in psychiatric practice to treat PTSD symptoms and promote mental health. This study explored the lived experiences of patients in Jordan with moderate to severe traumatic stress who received Eye Movement Desensitization and Reprocessing (EMDR) therapy grounded in the AIP model. A descriptive phenomenological approach was employed, and 35 semi-structured qualitative interviews were conducted and thematically analyzed using Colaizzi’s method, adopting an inductive realist perspective to capture participants’ experiences, meanings, and realities. Seven key themes emerged: Positive Perception of Treatment’s Effectiveness; Enhancing Psychological and Personal Skills; Acquiring New Skills; Safety and Comfort; Positive Toward Symptoms Management; Coping and Acceptance; and Self-Reliance. The findings revealed that most participants experienced positive outcomes, including symptom relief, skill development, and improved well-being. However, some participants also reported challenges, such as self-doubt about applying coping skills independently and heightened anxiety when recalling traumatic memories outside therapy sessions. These insights highlight that while EMDR is generally perceived as safe and effective within a short timeframe, variations in patients’ experiences underscore the need for ongoing support and individualized follow-up care.

Keywords: Post-Traumatic stress disorder · Lived experience · Eye movement desensitization and reprocessing · Adaptive information processing model · Phenomenology

Research Title: A national survey on navigating new era in healthcare services in hospitals through artificial intelligence: Awareness and attitudinal trends among nurses

Author: Rabia Hani Amin Haddad, Published Year: 2025

DIGITAL HEALTH, January-December 202

Faculty: Nursing

Abstract: ObjectiveThis nationwide study aimed to assess the attitudes and awareness of artificial intelligence (AI) among nurses in Palestine to develop targeted strategies to support nurses in adapting to AI innovations while ensuring high-quality, patient-centered care. MethodsThe study was a nationwide quantitative, descriptive cross-sectional survey across seven governmental and private hospitals (N = 2132 nurses; n = 290 respondents) in Palestine between first of April and end of May in 2025. Inclusion: registered nurses employed at one of the seven target hospitals who consented. Exclusion: nurses working in nontarget hospitals, non-nursing health professionals, and nurses not actively on hospital duty. Data were collected via a self-administered questionnaire comprising: (a) sociodemographics and work characteristics; (b) attitudes toward AI measured by the General Attitudes toward Artificial Intelligence Scale (validated; present sample reliability: attitude α = 0.75); and (c) AI awareness (7 dichotomous items; previously validated; present study α = 0.77). ResultsThe findings showed that slightly more than half of the participants had adopted some form of AI technology (55.5%), with ChatGPT being the most widely used. Despite over half using AI tools, a majority reported limited awareness, underscoring a knowledge gap. Most nurses viewed AI positively, though a substantial portion remained skeptical, reflecting both openness to and hesitation toward its adoption in the profession. ConclusionThere is a need for targeted policies and education to enhance AI awareness and acceptance among nurses. The nursing education curriculum needs to be supplemented with courses on AI using case scenarios and incorporate simulation-based training. There should be increased funding for continuing education programs, and the organizational culture needs to be made supportive of these changes. Policies and education of AI, should emphasize ethical use, patient privacy, and accountability to build trust and reduce fear of AI replacing nurses.

Keywords: Artificial intelligence, awareness, attitudes, nurses, Palestine

Research Title: Electronic distance learning satisfaction, awareness, attitudes, and barriers among undergraduate nursing students following the october 7 war in Palestine

Author: Rabia Hani Amin Haddad, Published Year: 2026

PLOS One, 21(4)

Faculty: Nursing

Abstract: Background Education is one of the many facets of daily life that have been severely interrupted by the ongoing conflict in Palestine since October 7, 2023. Assessing the efficacy and difficulties of electronic distance learning (EDL) requires an understanding of undergraduate nursing students’ experiences with it during this period. Aim The study aimed to assess the levels of satisfaction, awareness, attitudes, preferences, and barriers towards EDL distance learning among undergraduate nursing students during the war. Methods A descriptive cross-sectional design was used. A valid and reliable self-administered questionnaire was utilized to assess the levels of satisfaction, awareness, attitudes, preferences, and barriers toward EDL among undergraduate nursing students. Results A total of 292 nursing students participated in this cross-sectional study. Participants demonstrated an overall positive attitude toward EDL (M = 3.02, SD = 0.529), particularly regarding flexibility and ease of use. However, overall satisfaction with EDL was low (M = 2.84, SD = 0.885), revealing a clear contrast between favorable perceptions and actual learning satisfaction. Most students (80.9%) were aware of EDL. Infrastructural barriers were the most prominent challenges, with electricity shortages (64.7%), high internet costs (62.7%), and poor connectivity (61.6%) dominating the EDL experience. Satisfaction levels differed significantly by sex, age group, and digital tool used; however, causal inferences are limited due to the cross-sectional design. Conclusion The study's findings highlight how crucial it is to continue planning and coming up with solutions that both fill in the gaps in EDL and capitalize on its benefits. The educational institution decision-makers should give this issue a top priority and create a blended learning system to improve communication between instructors and students. Taking into account the security of students during pandemics and wars.

Keywords: Nursing Students, Electronic learning (E-learning), War, Satisfaction, Awareness, Attitudes, Preferences, 7 October.

Research Title: Influence of coping mechanisms on occupational stressors among Jordanian oncology nurses: a correlational study

Author: Rabia Hani Amin Haddad, Published Year: 2026

BMC Nursing, 25

Faculty: Nursing

Abstract: Background Oncology nurses are at particular risk for closely related types of distress, such as compassion fatigue, burnout, occupational stress, and moral distress, because they are often the ones who must carry out what they consider to be medically futile treatments that may cause pain in a dying older patient. This study aimed to examine the influence of selected coping mechanisms on occupational stressors among oncology nurses in Jordan. Methods A descriptive, correlational, cross-sectional design was employed. Data were collected between February and March 2024 from oncology nurses working in three major teaching hospitals in Jordan. Occupational stressors were assessed using the Nurse Stress Scale (NSS), and coping mechanisms were measured using the Brief COPE. Descriptive statistics, Pearson correlation analysis, and hierarchical multiple regression analysis were used to examine relationships between occupational stressors and coping mechanisms. Results Pearson correlation analysis revealed a statistically significant moderate positive correlation between the NSS Death and Dying subscale and the Brief-COPE Problem-Focused Coping subscale (r = 0.254, p < 0.01). A significant positive correlation was also found between overall coping mechanisms and occupational stressors (r = 0.33, p < 0.01). Regression analysis further demonstrated that coping mechanisms were significant predictors of occupational stressors (β = 0.441, p < 0.001). The findings indicate that higher coping scores were associated with higher stress levels, suggesting that coping strategies were more frequently employed in response to elevated occupational stress rather than serving as a protective factor. Conclusion Jordanian oncology nurses who experience higher stress levels related to death and dying are more likely to employ problem-focused coping strategies, such as actively addressing challenges, seeking solutions, and obtaining support. Although these coping strategies are adaptive, the overall high stress levels observed suggest that occupational stress remains a serious concern for nurses’ well-being and professional performance.

Keywords: Occupational stressors, Coping mechanisms, Oncology nurses, Jordan, Cancer care

Research Title: Predictors of Learning Self-Efficacy Among Nursing Students in Palestine

Author: Rabia Hani Amin Haddad, Published Year: 2026

Nursing Forum, Volume 2025, Issue 1

Faculty: Nursing

Abstract: Background The special demands of the nursing profession, which place a strong emphasis on technical proficiency, emotional intelligence, and advanced knowledge, have led to a growing recognition of the significance of learning self-efficacy among nursing students. Aim This study aimed to explore the predictors of learning self-efficacy among undergraduate nursing students at Al-Quds University learning. Methods A cross-sectional design, utilizing a self-administered questionnaire among nursing students using the convenience sample technique. Results A total of 307 nursing students participated in this study. The analysis shows that participants reported a moderate mean score of self-efficacy (M = 3.51, SD = 0.60). The results revealed that there were statistically significant differences in learning self-efficacy based on sex (t 305 = 2.789, p = 0.006). The females have higher learning self-efficacy mean scores (M = 3.57, SD = 0.582) than males (M = 3.35, SD = 0.632). The model that predicted nursing students’ learning self-efficacy using multiple linear regression was significant (F3, 303 = 6.663, p < 0.001) and accounted for 5.3% of the variance. The learning self-efficacy of nursing students was found to be predicted by sex (β = 0.159, p = 0.05). Additionally, it was reported that nursing students’ learning self-efficacy was predicted by the academic year (β = 0.173, p = 0.03). The learning self-efficacy of nursing students was finally determined to have a cumulative average (β = 0.116, p = 0.045). The academic year was the most reliable of these. Conclusions One of the most crucial elements of nursing students’ education and post-graduation careers is their sense of learning self-efficacy, which influences their confidence in their abilities and talents. The moderate level of learning self-efficacy among nursing students, however, leads us to the conclusion that the faculty of health professions at Al-Quds University is focusing on the development of nursing students and using the learning self-efficacy approach, which helps to raise the degree of learning self-efficacy among nursing students.

Keywords: Al-Quds University; learning self-efcacy; nursing students; predictors; profession; talents