ANNU Digital Library

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Communities in DSpace

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Recent Submissions

ONS
(Dr. Raed Al-Qadi, 2026-01-27) Raya Break; Shahd Fakhouri
The rapid growth of the elderly population is creating major challenges for families and healthcare providers. As people age, they often face complex health issues, limited mo- bility, and social isolation. While there are many apps available today, most only focus on one specific problem—like emergency alerts or health tracking—and fail to connect all the people involved in a senior’s care. This project introduces ONS, an all-in-one web platform designed to bridge this gap. ONS connects elderly users, their families, professional caregivers, and retirement home managers within a single, easy-to-use system. The platform offers essential tools for health monitoring, medication management, and emergency response. It also includes GPS tracking with ”safe-zone” alerts to ensure users stay safe. While families can use the app to stay updated on their loved ones, caregivers and retirement homes can use it to manage daily tasks, work shifts, and professional reports more efficiently. Beyond physical health, ONS focuses on emotional support. It features an AI-based companion for conversation and reminders, as well as a private online community where seniors can socialize to reduce loneliness. To ensure safety and trust, the platform in- cludes strong privacy settings, allowing seniors to control who can access their data. By combining these features into one secure system, ONS aims to improve the quality of life for the elderly and make coordination much easier for everyone involved.
دحبرها
(Dr. Samer Arandi & Dr. Asmaa Afeefi, 2025-06-30) Amani Hasan Anees Odeh; Dana Zafer Abd Alfattah Braik
Dahberha is an innovative automated system designed to transform the traditional manual process of shaping labneh into a fully streamlined operation. The system begins by offering the user a flavor selection option via a keypad, allowing them to choose between Summaq, Zaatar, or no flavor. Once a choice is made, the selected ingredient is automatically dispensed and mixed with the labneh. Following the mixing process, the system cuts the labneh into equal portions, ensuring uniform quantity in each piece. Next, each portion enters the shaping stage, where it is gently formed into a consistent spherical shape. This dedicated step ensures a visually uniform appearance for all labneh balls. Once shaped, the labneh balls are placed into containers in a clean and consistent manner. After packaging, olive oil is automatically added to preserve freshness and enhance taste. Finally, the container is sealed, completing the fully automated process. By combining flavor selection, mixing, shaping, packing, oiling, and sealing into a single automated workflow, Dahberha enhances hygiene, saves time, reduces manual effort, and delivers a high-quality end product ready for consumption or sale.
SolarX Robot
(Dr. Aladdin Masri, 2026-06-14) Hala Maree; Wafa Namroti
The increasing dependence on solar energy systems has highlighted the importance of maintaining solar panels in clean operating conditions to maximize energy production and system efficiency. Dust accumulation, dirt, and environmental contaminants significantly reduce solar panel performance, making regular cleaning essential. However, manual cleaning methods require considerable time, effort, water consumption, and human intervention. This project presents SolarX Robot, an intelligent autonomous solar panel cleaning robot designed to automate the cleaning process of solar panel arrays. The robot is capable of operating in both manual and automatic modes through a mobile application developed using Flutter. The system utilizes multiple sensors, including IR sensors for edge detection, ultrasonic sensors for water level monitoring and panel detection, an MPU6050 sensor for orientation monitoring, and a DS3231 Real-Time Clock module for scheduling operations. The robot employs DC motors for movement, brush rotation, and brush lifting mechanisms, while a water pump assists in removing dust and debris from solar panel surfaces. The ESP32 module enables wireless communication between the robot and the mobile application, allowing users to monitor the cleaning process, schedule cleaning operations, and track the robot’s current position within the solar panel array. To improve operational flexibility, the system stores its current operating state using the Arduino EEPROM. This allows the robot to pause its cleaning task and later resume operation from the same point without restarting the entire cleaning process. The developed prototype demonstrated accurate movement, reliable edge detection, effective cleaning performance, and successful autonomous operation according to predefined schedules. SolarX Robot provides a practical, low-cost, and efficient solution for maintaining solar panel installations while reducing human effort and improving the overall efficiency of solar energy systems.
THE PREVALENCE, MICROBIOLOGICAL PROFILES AND OUTCOMES OF MUCOSAL BARRIER INJURY-LABORATORY CONFIRMED BLOODSTREAM INFECTIONS AMONG ONCOLOGY PATIENTS AT A TERTIARY CARE CENTER IN PALESTINE
(An-Najah National University, 2026-06-17) Zaben, Mohammad
THE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE TOOLS ON SELF-LEARNING SKILLS IN ENGINEERING EDUCATION: THE ROLE OF SELF-EFFICACY AND INTRINSIC MOTIVATION AS MEDIATING VARIABLES IN THE TECHNOLOGY ACCEPTANCE MODEL
(An-Najah National University, 2026-02-16) Shtawi, Samar
Abstract The introduction of Generative Artificial Intelligence (GenAI) into engineering education is an important shift that marks the change of pedagogical methods. It is based on the Technology Acceptance Model (TAM), which will help to analyze the role of self-efficacy and self-motivation in mediating the relationship between the use of GenAI and major educational outcomes of engineering students. In particular, it explores the role played by the confidence of the students in using technology and their intrinsic motivation in the effected perceptions of usefulness, perceived ease of use, behavioral intention, satisfaction, and academic performance. Students of engineering enrolled at several universities were used as the source of data by using a structured questionnaire, and the hypothesized relationships were tested using structural equation modeling. The results show that GenAI has a positive effect on the perceptions of usefulness and ease of use in students, which subsequently lead to their intention to use AI tools in learning. The findings further indicate that self-efficacy and self-motivation are important mediating variables hence enhancing the connection between GenAI use and the independent learning abilities of the students. All in all, the research shows that academic performance, satisfaction, and self-directed learning can be positively promoted among engineering students as a result of the successful implementation of GenAI. These findings indicate that artificial intelligence teaching tools should be incorporated in the learning process, and digital literacy programs should be encouraged in universities to assist learners in their independent and technology-assisted learning processes.