Al-Razi University

This research investigates the correlation between recognition memory of vocabulary (RMV) and reading comprehension among eighth-grade English as a Foreign Language (EFL) learners at MTs Favorit Darut Taqwa Dlanggu, Indonesia. Utilizing a mixed-methods research design combining quantitative correlational analysis and qualitative descriptive inquiry, the study engaged 28 participants selected through purposive sampling based on their educational level and prior learning experiences. Data collection was executed through two distinct instruments: a vocabulary recognition memory assessment comprising multiple-choice questions and a reading comprehension evaluation. The findings indicated a statistically significant and exceptionally strong positive correlation between vocabulary recognition memory and reading comprehension (r = 0.976, p < 0.01), thereby illustrating a robust connection between learners’ capacity to recognize previously acquired vocabulary and their performance in comprehension tasks. Nonetheless, the results also imply that vocabulary recognition in isolation does not comprehensively account for reading comprehension, as various reading strategies, including skimming, scanning, and inference-making, were also integral to the students’ comprehension processes. This study underscores the pedagogical significance of amalgamating contextualized vocabulary instruction with explicit training in reading strategies and differentiated instructional methods. The implications of these findings offer valuable pedagogical insights aimed at enhancing English literacy instruction within EFL environments, particularly in Pesantren-based educational institutions.

Acute intestinal obstruction is a common surgical emergency, defined as a partial or complete interruption of the forward flow of intestinal contents. It is associated with significant morbidity and mortality, and timely diagnosis and management are essential. This study aimed to evaluate the causes, clinical presentation, management, and outcomes of patients admitted with intestinal obstruction to Al-Thawra Modern General Hospital, Sana'a, Yemen. A prospective descriptive study was conducted on 105 patients diagnosed with intestinal obstruction between January 1 and December 31, 2024. Patients younger than 10 years or with early postoperative obstruction were excluded. Data on demographics, clinical features, laboratory and radiological findings, management, complications, and outcomes were collected and analyzed using SPSS. Of the 105 patients, 74 (70.5%) were male, with a male-to-female ratio of 2.38:1 and mean age of 45.2 ± 19 years; the 31-60 years age group was most affected (35.2%). Mechanical obstruction accounted for 75 cases (71.5%), while 30 cases (28.5%) were due to intestinal ileus. Adhesions and malignancy were equally the most common causes (21% each), followed by secondary peritonitis (18.1%), hernia (11.4%), and volvulus (15.3%). The majority of patients presented within 3-7 days of symptom onset, although 81% of malignant obstructions occurred in patients aged 19-60 years and often presented after more than 14 days. Conservative management was successful in 13.3% of patients, while the remainder required surgical intervention according to etiology and intraoperative findings. Postoperative complications occurred in 19% of patients, and overall mortality was 14.3%, highest among patients with malignancy, mesenteric ischemia, and obstructed hernia. Mechanical obstruction is the predominant type of intestinal obstruction, with adhesions and malignancy as leading causes. Advanced age, comorbidities, ischemia, and recurrent neoplasm were associated with poor outcomes. Preventive strategies, including reduction of adhesions, elective hernia repair, early cancer screening, and timely surgical intervention, are essential to reduce morbidity and mortality associated with intestinal obstruction.

ABSTRACT Sexual assault remains an alarmingly widespread societal problem. This bibliometric analysis aims to map the scientific production on sexual assault in the last decade. A total of 1828 research articles extracted from the Scopus database and published between 2012 and 2022 were investigated. The study presented a detailed overview of the research output of sexual assault, identified knowledge gaps, and recommended future directions. Visualizations and statistical analyses focused on publication volume and growth, authorship patterns, journal sources, institution productivity, country productivity, and citations, topical emphasis based on keywords, and highly cited articles. Key findings show sexual assault literature growing exponentially in recent years at an 18% annual rate, but with imbalances in author visibility and influence as well as geographical concentration of scholarship in Western institutions. Conceptual content centers on gendered experiences described at an individual level using precise assault terminology rather than abstract detectors of social forces enabling violence. Opportunities exist to consolidate knowledge and address disparities by facilitating collaboration across siloed authors not fully engaging peer work to date as well as diversifying institutional participation globally.

Background and Aims: Urinary tract infections (UTIs) impact an estimated 150 million people worldwide each year, with diabetes making up a sizable portion of those afflicted. The prevalence and contributing variables of urinary tract infections among patients with diabetes mellitus in the medical ward at Al-Kwait University Hospital in Sana'a, Yemen, were evaluated as part of the study. Materials and Methods: In this cross-section study, 454 DM patients, referred to the medical ward at Al-Kwait university hospital clinics in Sana'a, Yemen. A urine culture was performed by collecting a clean, sterile urine sample (midstream urine) then culturing it, and isolating and identifying the causative bacteria. For collecting data, a standard questionnaire was used that included clinical, demographic, and risk factor information of UTI in DM. Results: The mean patient age was 48.2 years, with 73.1% being ≥ 40 years old. The crude prevalence of urinary tract infections (UTIs) in diabetic patients was 21.8%, higher in males (27.03%) than females (17.6%). The highest prevalence was in age groups 30-39 years (48.2%) and 20-29 years (47.4%), while the lowest was in those ≥ 40 years (16.3%) and under 20 years (19.2%). Common pathogens included Escherichia coli (42.3%) and Klebsiella pneumoniae (34%). Conclusion: The study concluded that 99/454 (21.8%) of diabetic patients had urinary tract infections (UTIs). Therefore, the study recommends providing health education to diabetic patients about the causes of UTIs and how to prevent them. Peer Review History: Received 7 October 2025; Reviewed 14 November 2025; Accepted 13 December; Available online 15 January 2026 Academic Editor: Dr. A.A. Mgbahurike, University of Port Harcourt, Nigeria, amaka_mgbahurike@yahoo.com Reviewers: Dr. Ahmed Mohammed Al-Haddad, Department of Medical Laboratories, College of Medicine and Health Sciences, Hadhramout University, Al-Mukalla, Yemen, alhaddadster@gmail.com Dr. Adebayo Gege Grace Iyabo, University of Ibadan, Nigeria, funbimbola@gmail.com

Date consumption is deeply rooted in Yemeni culture, yet its effect on glycemic response remains underexplored. This quasi-experimental study examined the impact of portion size and Basmala recitation on the Glycemic Index (GI) and Glycemic Load (GL) of Yemeni Sagai dates in 12 healthy adults. Participants consumed 2–6 dates, with or without Basmala, and postprandial glucose was measured at 0, 30, 60, 90, and 120 minutes. GI and GL were calculated using incremental area under the curve (iAUC) values with a 50 g glucose reference. Results revealed a non-linear relationship between portion size and GI, with smaller portions (2–3 dates) producing unexpectedly high or moderate GI values, while larger portions did not always increase glycemic response proportionally. GL analysis showed moderate values for 2–3 dates and high values for 4–6 dates, highlighting the importance of portion control. Consumption with Basmala significantly reduced GI (63.3 vs. 78.4) and GL (39.9 vs. 49.4) compared to no recitation (P < 0.05), suggesting that mindful or spiritual practices may influence glucose metabolism. These findings align with Islamic teachings advocating moderate, odd-numbered consumption of dates with Basmala and emphasize a holistic approach integrating cultural, spiritual, and nutritional guidance.

This study analyzes the application of the (Read, Guide, Muraja'ah) Method in the learning of yellow books in Islamic boarding schools in the Southwest Aceh region as a response to the weakening of students' Arabic language skills, increasing dependence on translated books, and the challenges of modernization that affect the quality of classical text comprehension. Through the Read stage to train phonetic accuracy, the Guidance stage to provide correction and conceptual understanding, and the Muraja'ah stage to strengthen memory, this method is considered capable of improving reading accuracy, understanding of meaning, motivation, and discipline of students. A qualitative descriptive approach is used to explore the learning process in depth. The validation results show that aspects of all three methods are in the "very feasible" category, although this study is limited by the variation in student abilities and the time limit for muraja'ah. This study is based on classical Islamic boarding school studies and international pedagogical theories such as scaffolding and guided learning for the effectiveness of the Method. And the findings also confirm the relevance of the Method in bridging classical scientific traditions with the needs of Islamic boarding school learning in the modern era.

Abstract Agriculture in Najran City plays a crucial role in supporting the local economy. Nevertheless, the region faces sustainability, resource management, and environmental degradation challenges. Descriptive and somewhat manual techniques for assessing land-use scenarios and classifying agricultural land changes can be tedious and prone to human error, and they remain inefficient when analyzing rapidly changing terrains. AI techniques offer promising solutions to overcoming such shortcomings, enabling automated, accurate, and scalable analyses of highly intricate satellite imagery datasets. This study proposes a hybrid artificial intelligence-based topographic analysis model to improve agricultural development in Najran. Spatial features extraction from the images of those two models through spatial information fusion would, in the post-fusion, mean an increase in redundancy and irrelevant features and an increase in computational complexity. Therefore, the next step was using a PCA algorithm to remove unessential features before feeding essential features into the artificial neural network (ANN) algorithm. The resulting important features are then classified using an ANN. The system was then implemented using Landsat 8 satellite imagery for 2013–2023. The results indicated that the developed hybrid EfficientNetB7–ShuffleNet with ANN system achieved an accuracy of 97.11% in 2013 and 97.01% in 2023. It also achieved a Recall rate of 97.66 and 97.54% during the period 2023 and 2023, respectively, and an F 1-score of 96.77 and 97.53% during the period 2023 and 2023.

Abstract Sustainable agriculture depends heavily on precise LULC classification to support soil conservation, water resource planning, and environmentally conscious land use. This study proposes a hybrid deep learning system integrating VGG16 and EfficientNetB7 models with a Random Forest (RF) classifier to classify agricultural and other LULC types in Najran, Saudi Arabia, utilizing digital elevation models (DEMs) and Indian Remote Sensing Advanced Wide Field Sensor satellite data from 2020. A stereo-derived DEM was used to extract topographical features, which, combined with multi-temporal imagery, were processed through VGG16 and EfficientNetB7 for spatial feature extraction. The Grasshopper Optimization Algorithm was applied to select the most essential features and remove the unimportant and redundant ones. The features were then fed into an RF classifier to classify the Najran terrain map efficiently. Evaluation of the hybrid system showed promising results for classifying the Najran terrain map, achieving an accuracy of 94.2%, precision of 79.88%, recall of 79.22%, F 1-score of 79.53%, and specificity of 96.01%. The system demonstrated robust performance in differentiating agricultural lands from urban and natural terrains, enabling efficient monitoring of land use patterns. This approach supports sustainable agricultural practices and environmental stewardship by providing decision-makers with high-resolution, automatically classified land maps for strategic planning in arid regions, such as Najran.