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CHALLENGING HAUSSMANNIZATION IN PALESTINIAN REFUGEE CAMPS: JENIN REFUGEE CAMP AS A CASE STUDY
(An-Najah National University, 2026-08-30) Mohammad samer Mohammad Nabil Touqan
Spatial control and systematic demolition are tools used to reshape space and redistribute it to people in ways that benefit power. Demolition follows a logical plan and is not just a short-term military move. This approach is clear in nineteenth-century Paris, when Baron Haussmann changed the city to improve military access and observation. This is where the term "Haussmannization" comes from. This study looks at the regular demolitions that the Jenin refugee camp faced from 2002 to 2026 due to several Israeli military operations, including Operation "Iron Wall. “It raises an important question: Is this demolition just a random security measure, or does it reflect a modern form of “Haussmannization”? It critically analyzes the mechanisms of control within the camp. It compares them to the structure of Haussmann’s project, within a theoretical framework based on the works of Lefebvre, Foucault, Weizman, and Graham, and drawing on morphological analysis of satellite imagery and reports from UNOSAT, OCHA, and UNRWA across three time periods, to reveal the structure of the impossible return to a reshaped camp, which the study describes as the “Aporia of Return.” The study concludes that what has taken place in the camp reproduces the Haussmannian mechanism stripped of its constraints, thereby redrawing the urban geography, dismantling the social fabric, and confiscating the right to the city. The original contribution of this research lies in arguing that return and reconstruction under this plan complement, rather than negate, the process of Haussmannization. Accordingly, it establishes a critical framework for evaluating the validity of reconstruction plans rather than proposing an alternative design solution.
CHEMOTHERAPY INDUCED NEUTROPENIA AND CARDIOVASCULAR RISK AMONG PALESTINIAN PATIENTS DIAGNOSED WITH HEMATOLOGIC MALIGNANCIES
(An-Najah National University, 2026-07-05) Ekram Sahoury
Outlay
(Dr. Sufyan Samara, 2026-01-27) Nehaya Nsasra; Sundos Ramadan
The proposed project, Outlay, is a mobile application that combines expense management with artificial intelligence to provide users with an intelligent financial and lifestyle assistant. The importance of this project lies in addressing a common real-world problem: many individuals struggle to track their daily expenses, maintain a healthy spending balance, and avoid overspending on unnecessary or unhealthy items. Outlay seeks to provide a modern, AI-driven solution that enhances financial awareness, promotes healthier spending habits, and supports long-term savings goals. The project covers several important aspects including: expense tracking (manual and AI-based), monthly budget management, automated reporting with visual charts, lifestyle and health-related expense analysis, and personalized notifications. The main objectives are to help users manage their income and expenses more effectively, encourage responsible financial behavior, and integrate health awareness into daily financial decisions. The methodology involves developing a cross-platform mobile application using Flutter for the frontend, Node.js for the backend, and MySQL for data storage. AI models such as Google ML Kit )ocr)will be integrated for image recognition and spending pattern analysis. Although there are existing expense management applications (e.g., Mint, PocketGuard), Outlay is unique because it incorporates AI-based image recognition for expense entry and lifestyle health tracking, offering a smarter and more comprehensive solution compared to existing systems.
OPTIFORK
(Dr. Samer Mayaleh, 2026-01-27) Ali Turabi; Anas Ismael
This project presents the design and implementation of OptiFork, an autonomous warehouse robotic system aimed at improving efficiency and organization in modern warehouse operations. The system addresses key challenges associated with manual material handling, such as slow item retrieval, high labor dependency, and unstructured transactions that may lead to errors in inventory management. OptiFork integrates embedded control systems with intelligent navigation to enable automated retrieval and delivery of items from storage shelves to designated delivery points. The system employs a dual-controller architecture, utilizing an Arduino Mega as the main motion and execution controller, and an ESP32 module for wireless communication and interaction with the warehouse management interface. This architecture ensures reliable real-time control while supporting flexible communication with external systems. The robotic platform is equipped with DC motors with gearboxes for mobility, stepper motors for precise lifting and positioning, and multiple sensors including IR sensors, ultrasonic sensors, and an MPU6050 inertial measurement unit. These components enable accurate navigation, obstacle detection, and orientation control within the warehouse environment. Unlike fixed X–Y–Z automated storage systems, OptiFork operates as a mobile robot, offering greater flexibility and reduced infrastructure cost. A key feature of the system is its structured, non-random transaction mechanism. Item requests are received through a computer-based interface managed by the warehouse supervisor, then processed and executed by the robot based on predefined shelf locations and item types. After completing each delivery, the system updates the inventory database to reflect item movement, ensuring accurate stock tracking. Experimental testing demonstrates that OptiFork achieves reliable autonomous navigation, accurate item retrieval, and efficient delivery performance. The project highlights how low-cost embedded systems and modular mechanical design can be combined to create a scalable and cost- effective warehouse automation solution, contributing to faster operations, reduced human intervention, and improved overall warehouse management.
Smart Glove Controlled Wheelchair
(Dr.Aladdin Masri,Hanal Abu Zant, 2026-06-14) Nagham Fraij; Akram Abu Aisheh
People with mobility impairments often face difficulties using traditional wheelchair control systems, especially when operating joysticks or manual controls. This project presents a Smart Glove Controlled Wheelchair that enables users to control wheelchair movement through simple hand gestures. The proposed system consists of two main units: a glove unit and a wheelchair unit. The glove unit is equipped with an Arduino Nano, an MPU6050 motion sensor, and an HC-05 Bluetooth module. The MPU6050 detects the orientation and movement of the user's hand, while the Arduino Nano processes the sensor readings and converts them into movement commands. These commands are transmitted wirelessly via Bluetooth to the wheelchair unit. The wheelchair unit consists of an Arduino Nano, an HC-05 Bluetooth module, an L298N motor driver, DC motors, an HC-SR04 ultrasonic sensor, and a buzzer. Upon receiving commands, the system controls the wheelchair movement in different directions, including forward, backward, left, right, and stop. In addition, the ultrasonic sensor continuously monitors the surrounding environment and detects obstacles to improve user safety by preventing collisions. The proposed system provides a low-cost, reliable, and user-friendly assistive mobility solution. It enhances user independence and demonstrates the practical integration of embedded systems, wireless communication, and sensor technologies in healthcare and assistive applications.