Antimicrobial Susceptibility Testing (AST) is essential for guiding appropriate antibiotic therapy. The disk diffusion method is widely used in Libya due to its low cost, yet deviations from standardized protocols can compromise result accuracy, affecting clinical decisions and patient outcomes. This study evaluated the performance of the disk diffusion AST method in medical laboratories in Gharyan, Libya, using EUCAST guidelines (version 12.0) as a benchmark. Seventy-five AST plates representing 122 clinical specimens were randomly collected from three pathology centers between September and November 2025. Plates were analyzed for the type of culture media, number of specimens per plate, number of antibiotic disks, and readability of results. All plates were 90 mm in diameter. Nutrient agar was used for 118 specimens, and blood agar for two; none used Mueller-Hinton agar as recommended. Only 17% of plates tested a single specimen per plate; the majority tested one specimen on half or a quarter of a plate. The number of antibiotic disks per specimen often exceeded EUCAST limits (up to 20 disks per plate), and only 8% of plates yielded readable results. Widespread deviations from EUCAST protocols—including inappropriate media, specimen overloading, and excessive disks—compromise AST reliability. These errors may lead to incorrect antibiotic prescriptions, delayed recovery, and increased antimicrobial resistance. Strict adherence to standardized guidelines is urgently required to ensure accurate, clinically meaningful AST results. Moreover, raising awareness of the importance of following standard guidelines is crucial for correcting the course

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.

تقدم هذه الورقة بحثاً حول إطار عمل يعتمد على التعلم العميق للتصنيف متعدد الملصقات لأمراض الصدر باستخدام صور الأشعة السينية وبنية EfficientNet. يعالج هذا الإطار تحدي تشخيص الحالات المتعددة التي تتشابه في المظهر وغالباً ما تحدث معاً. يستخدم إطار العمل تقنية التعلم بنقل الخبرة (Transfer Learning)، مع إجراء ضبط دقيق لعدة متغيرات من نموذج EfficientNet (من B0 إلى B4) باستخدام مجموعة بيانات NIH ChestX-ray14. كما يوظف البحث تقنيات Focal Loss و Stochastic Weight Averaging لمعالجة اختلال توازن البيانات وتحسين قدرة النموذج على التعميم. يعتمد هذا النهج على آليات الانتباه (Attention Mechanisms) وتقنية Grad-CAM لجعل النتائج أكثر قابلية للتفسير، مما يثبت أن التوقعات تستند إلى ميزات سريرية هامة. حقق النموذج درجات عالية في مقياس ROC-AUC للحالات الأكثر وضوحاً مثل الانصباب (0.8545)، وتضخم القلب (0.8003)، والاسترواح الصدري (0.7820). ومع ذلك، واجه النموذج صعوبة أكبر في تصنيف الحالات الأكثر دقة مثل الارتشاح، والعقيدات، والالتهاب الرئوي. يؤدي إطار العمل بشكل يضاهي أو يتفوق على العديد من نماذج الشبكات العصبية التلافيفية (CNN) القائمة من حيث الدقة والكفاءة. يوفر هذا البحث سير عمل قوياً وقابلاً للتكرار لتطبيقات الأشعة، مع إمكانية استخدامه في مهام تشخيصية أخرى. كما تشير الدراسة إلى بعض المعوقات، مثل اختلال توازن الفئات والحاجة إلى دعم أفضل لاتخاذ القرارات السريرية، وتقترح تحسينات مستقبلية مثل تقنيات أفضل لتعزيز البيانات ونمذجة عدم اليقين.

Abstract: 

This study presents a critical discourse analysis (CDA) of the construction of political identity 

during periods of revolutionary crisis. It examines the dichotomous representation of Muammar 

Gaddafi in February 2011 through two primary data streams: his first major public address 

following the uprising (February 22, 2011) and the contemporaneous visual and textual 

coverage in three newspapers—The Sun (UK), The Daily News (a prominent US tabloid-style 

outlet), and Alshourouq (Egypt). Employing Fairclough’s (1992) three-dimensional model of 

CDA, Halliday’s (1978) Systemic Functional Linguistics (SFL), and Kress and van Leeuwen’s 

(2006) grammar of visual design, the analysis reveals a profound disjuncture between Gaddafi’s 

linguistic self-fashioning and his mediated portrayal. Findings indicate that Gaddafi’s speech 

strategically deployed lexical choices, transitivity, and modality to construct identities of a 

rightful leader, paternal protector, and historical embodiment of Libya. Conversely, the selected 

newspapers, despite ideological nuances, converged on a representational framework depicting 

Gaddafi as weak, cowardly, and delegitimized, primarily through specific visual framing, 

camera angles, and captions. This study argues that the conflict between these representations 

is not merely descriptive but deeply ideological, reflecting the struggle for discursive hegemony 

during the Arab Spring, where control over narrative became a key battleground alongside 

military confrontation.