Abstract Classroom presentations represent an important aspect of activities that help English as a Second Language learners showcase their language skills, particularly speaking in front of others, and reveal the educational and psychological obstacles and challenges they face in performing these presentations at the best possible level. The study aims to identify the impact of language anxiety on classroom presentations by applying it to English as Foreign Language learners at Gharian University, which helps to investigate the level and type of anxiety that English as a Foreign Language students at the university suffer from during presentations. The study was conducted on various students of different semesters at University. The sample consisted of 100 students of both genders, divided into two groups (45 males and 45 females), during the academic year 2025-2026. The study relied on a questionnaire as the data collection tool, and the collected data was statistically analyzed using SPSS software. The results showed a high level of anxiety about learning English among the participating students for various reasons. A statistically significant inverse relationship was found between the level of English language anxiety among University students and the quality of their classroom presentations. Statistically significant differences were also found in language anxiety levels among students during classroom presentations, while no statistically significant differences were found between gender and anxiety levels in terms of their impact on the quality of classroom presentations. The stuconcluded with recommendations and suggestions to enhance the

Agricultural sustainability relies heavily on the early detection of plant pathologies. However, manual diagnosis remains challenging even for experts. This study proposes a lightweight Custom Convolutional Neural Network (CNN) architecture for automated leaf disease detection. The model was evaluated against state-of-the-art frameworks, MobileNetV2 and EfficientNetB0, using a dataset of 15,649 images that integrates global data with locally sourced samples from Libya. To ensure robustness, k-Fold Cross-Validation was implemented under standardized conditions. The proposed Custom CNN achieved a competitive accuracy of 97.6%, closely matching EfficientNetB0 (98.4%). Despite the slight accuracy advantage of transfer learning models, the Custom CNN demonstrated superior computational efficiency and a significantly smaller architectural footprint. These results position the proposed model as an ideal candidate for deployment in resource-constrained environments and mobile-based diagnostic systems.

While most pregnant women in Gharyan city demonstrated adequate oral health knowledge, gaps persist in

preventive practices, particularly regarding fluoride use and dental visits. Education level and dental visits

during pregnancy were significant determinants of knowledge. These findings highlight the need for targeted

oral health education programs and increased access to dental services for pregnant women to improve oral

health outcomes for both mothers and their infants.

ABSTRACT This study investigates the effects of self-assessment on students’ motivation and language proficiency among English Department students at the Faculty of Arts, AL-Assaba. A quantitative research design was adopted, using a questionnaire distributed to a sample of 60 students. The findings indicate that self-assessment plays a significant role in enhancing learners’ motivation, self-awareness, and perceived language proficiency. Most students reported positive attitudes toward self-assessment and felt it Improved their English skills. The study concludes that incorporating self-assessment into English language instruction can foster learner autonomy and Improve learning outcomes. It recommends Integrating self-assessment practices into curricula and providing guidance to students on effective self-assessment. Keywords: Self-assessment, Motivation, Language Proficiency, Learner Autonomy, English Department Students, Higher Education.  

Abstract

Stem cell therapy has emerged as a promising approach for craniofacial bone remodeling and dental tissue regeneration. In this study, a mixed-methods design was employed, combining laboratory analyses with clinical data from 100 participants. Results demonstrated that 80% of respondents had received mesenchymal stem cell (MSC) therapy, with 70% reporting improvements in bone density and 65% noting enhanced dental tissue regeneration. Imaging tests confirmed progress in 85% of cases, while overall satisfaction with therapy outcomes was reported by 80–85% of participants. Correlation analysis revealed strong positive relationships between stem cell treatment and improvements in bone and dental tissues, with coefficients ranging from 0.60 to 0.70 (p < 0.01). Side effects were minimal, with only 20% reporting complications such as swelling or pain. These findings underscore the therapeutic potential of stem cell-based interventions, highlighting both their efficacy and safety. The study concludes that stem cell therapy represents a viable and effective strategy for regenerative dentistry and craniofacial surgery, though larger multicenter trials are needed to standardize protocols and validate long-term outcomes

This paper presents the design and implementation of a smart robotic vacuum cleaner based on Internet of Things (IoT) technologies, named IO-VAC, specifically developed for smart home environments. The paper covers both the mechanical and electronic aspects of the robot’s development. A 2D layout was created using ArchiCAD to define the positioning of components and sensor angles when designing the robot, followed by a 3D model to visualize the final design. The robot chassis was fabricated using reinforced plastic to ensure durability and lightweight structure. The IO-VAC is controlled using an Arduino Mega board programmed in C/C++. Where, the system includes three ultrasonic sensors for obstacle avoidance, along with an infrared (IR) sensor for edge detection to prevent falls. The embedded system of IO-VAC integrates an ESP8266 Wi-Fi module, allowing for remote control via the Blynk IoT platform to enable users to control the robot’s movement (forward, backward, left, right), adjust suction power, select the desired cleaning algorithm, and monitor the battery level in real-time. In this paper three movement algorithms were developed: random, spiral and zigzag, and their performance was tested on two types of surfaces smooth and rough to ensure reliability and efficiency in various cleaning conditions after testing the validation of IO-VAC. Based on the test results of robot performance, the zigzag algorithm proved to be the most effective in terms of covered area, cleaning mission time, power consumption and minimizing redundancy. This work demonstrates an effective integration of embedded systems with IoT technologies, offering a smart and cost-efficient solution for automating household cleaning tasks.

Libya is country of desert and the arid climate makes it in extreme lack of surface water .Groundwater then bececomes a very important resource to meet the economical and agricultural demand ,which believed to be comparatively much cleaner and free from poliution than surface water , water poliution is a state of deviation from pure condition .whereby its normal function and properties are affected .The present study is amied at assesses the bacteriologcal pollution of ground water samples used for humans and animals at different 11 localities in Tripoli rigion , Libya .This study related to the bacteriologcal analysis revealed high values of toral bacterial count in groundwater samples from both tanks (648.85 cfu/ml)and wells (394.34cfu/ml) than standard count imit (100cfu/ml)for driking water by EPA. Naarly similar values of MPN of coliform (58.00MPN/100ml) and E.coli bacteria (0.20) from both tanks and wells, other than zero number per 100 ml set by WHO .Finally , we did not find pathogenic bacteria as Salmonella and Enterococci bacteria , but there is very littel number of pathognic bacteria as Staphylocooccus aurous (1.50) and Pseudomonas aerugnosa (0.07) isoaled from both tanks and wells samples . Hence ,it was concluded that . This research to analysis the bacteriologcal pollution of grandwater used for hnmans and animals for some different localities of Tripoli , Libya with review to the hygienic standards and suggest an approach for imporing and prevent such contamination . Microbiological lested ground waters samples are good and mostly suitable for domestic uses. the coliform and pathogenic bacterial contamination render this water unsatisfactory for driking purposes unless bacteriologically perfactly treated ,if necessary for consideration for utility.