Self-medication of antibiotics is an irrational use of drugs, contributing to microbial resistance, increasing healthcare costs and higher mortality and morbidity. This study aimed to assess self-medication with antibiotics without a medical prescription in the community of Libya. This is a cross-sectional study conducted from June to December 2022 and the total number of participants was 200. The design of the study and sample size were modified according to the proficiency of pharmacists and the medical and non-medical population of Libya. (...) The questionnaire was developed in English and Arabic language and was distributed through social media platforms. The questions were used after a thorough literature search and assessing the validity and reliability. The significant signs regarding reasons for the treatment by self-medication drugs of antibiotics, because of its various drugs of antibiotic by pharmacist (n=80, 40.0%) and family (n=90, 45.0%) compared with experience and physicians by used prescription was 13 (6.50%) and significant sings regarding by nasal congestion self-medication of various antibiotics (n=100, 50.0%). This sign must be practiced based on a previous physician’s prescription. The antibiotics are often self-administered as patients feel that they will save money and time but this can lead to substantial adverse drug reactions, antibiotic resistance, treatment failure and drug-related toxicity. This study respondent's medical and non-medical public of Libya who should be relatively informed and educated about the risk of treatment by self-medication of antibiotics with the development of resistance. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging marks a transformative advancement in healthcare, significantly enhancing diagnostic accuracy, efficiency, and patient outcomes. This paper delves into the application of AI technologies in medical image analysis, with a particular focus on techniques such as convolutional neural networks (CNNs) and deep learning models. We examine how these technologies are employed across various imaging modalities, including X-rays, MRIs, and CT scans, to improve disease detection, image segmentation, and diagnostic support. Furthermore, the (...) paper discusses the challenges associated with AI-driven medical imaging, such as data quality, model interpretability, and ethical considerations. By analyzing recent advancements and real-world case studies, this paper offers insights into the current landscape of AI in medical imaging and explores its potential future directions. The findings underscore the ongoing evolution of AI technologies and their pivotal role in advancing medical diagnostics and treatment strategies. (shrink)

Penrose believed that the universe is a book written in the language of mathematics. Through this language, he disproved the fallacy of coincidence in complex and meaningful systems, reaching philosophical and theological heights by placing things in their proper places based on his induction, and his mindful reasoning.

Recently, due to the rapid progress of computer technology, researchers develop an effective computer program to enhance the achievement of the student in learning process, which is Intelligent Tutoring System (ITS). Science is important because it influences most aspects of everyday life, including food, energy, medicine, leisure activities and more. So learning science subject at school is very useful, but the students face some problem in learning it. So we designed an ITS system to help them understand this subject easily (...) and smoothly by analyzing it and explaining it in a systematic way. In this paper, we describe the design of an Intelligent Tutoring System for teaching science for 7th grade to help students know the 7 characteristics for living things smoothly. The system provides all topics of living things and generates some questions for each topic and the students should answer these questions correctly to move to the next level. An evaluation was done for checking the students and teachers satisfaction of the ITS. The results of the evaluation showed that the students and teachers liked the system and they said that the system is very useful for them and for their studies. (shrink)

The urgent need of developing novel teaching methods in education to improve the critical thinking skills has been widely discussed by educational experts. The present study aims to investigate the effectiveness of Fermi problem solving with flipped learning techniques in teaching physics on the improvement of critical thinking skills among Emirati tenth graders. The sample of the study consists of 40 male and female secondary students from two secondary schools belonging to Abu Dhabi Department of Education and Knowledge in United (...) Arab Emirates divided into two groups; the control group consists of 20 students (10 male and 10 female) taught the physics unit by traditional methods, the experimental group consists of 20 students (10 males and 10 females) taught the physics unit by Fermi problem solving with flipped learning techniques. The quasi-experimental design was used, where the modified critical thinking skills test was prepared and administered on the two groups as a pre-test before the students start the treatment and as a post-test once they are finished. The MANCOVA and Two-Way ANCOVA tests were employed to analyze the data. The findings showed that there were statistically significant differences at (α = 0.05) in student’s critical thinking skills test (in favor of experimental group), indicating that the performance of students in treatment group was better than the control group in the post-test. This means that the Fermi problem solving with flipped learning techniques has significant effectiveness on improvement of critical thinking skills among the United Arab Emirates secondary students. Also there were no statistically significant differences between male and female students. (shrink)

Brain tumors pose significant challenges in modern healthcare, with accurate and timely diagnosis crucial for determining appropriate treatment strategies. Artificial intelligence has made significant advancements in recent years. Rule-based expert systems (if-then rule-based systems) have emerged as a promising approach for clinical decision-making in brain tumor diagnosis. In this paper, we present "A CLIPS-Based Expert System for Brain Tumor Diagnosis," which leverages a set of 14 if-then rules to diagnose brain tumors with three possible outcomes: 1) Confirm the diagnosis of (...) a brain tumor, 2) Consider the possibility of a brain tumor that has metastasized, and 3) Consider the possibility of a brain tumor. Our expert system offers a user-friendly interface, enabling users to select symptoms and receive a diagnosis based on the provided information. This paper discusses the expert system's development, implementation, and evaluation, highlighting its potential to facilitate brain tumor diagnosis and decision-making in clinical settings. Additionally, we provide a literature review that contextualizes our expert system within the broader landscape of rule-based expert systems for brain tumor diagnosis, examining their effectiveness, limitations, and challenges. (shrink)

With 163 authoritative entries providing definitive explanations and critiques of the fundamental principles and practices of corporate governance, this timely Encyclopedia is a comprehensive overview of the economic, political, social, legal and environmental impacts of corporations across the globe. Bringing together almost 100 leading experts, the Encyclopedia addresses the meaning and purpose of corporate governance and how this term has evolved over time. Philosophical perspectives on corporate governance, as well as its origins and history are laid out, alongside critical theories (...) and methodologies on governance. The Encyclopedia then examines different aspects of governance related to governance regimes, neoliberalism, finance, accounting and corporate reporting, law and regulation, strategy and forms of governance. Board processes and performance, leadership in the boardroom, board directors and board diversity are explained. Focus is drawn to emerging societal problems and crises related to corporate governance and how these have been addressed by different institutions, such as digital era governance, corporate social responsibility and corporate sustainability and regeneration of the natural world. The Elgar Encyclopedia of Corporate Governance is an essential reference source for academics, researchers and students of business and management, economics and finance and environmental studies. Professionals and policymakers working in the sectors of corporate governance, corporate social responsibility, management and sustainability and strategic management will also find this to be an indispensable reference work. Key Features: 163 distinct entries structured by theme Combines empirical findings with real-world examples Adopts a comparative global analysis from leading academics Accessible explanations of fundamental concepts and principles. (shrink)

The study examines English as Foreign Language (EFL) students’ attitude towards developing their speaking abilities at KRI University in order to better understand the disparities in speaking competency among undergraduates. The study utilized a quantitative approach and employed a 4-item interview survey to gather data for the study. The survey interview questionnaire was adopted from Wang, Kim, Bong, and Ahan (2013) and administered to 100 students in the departments of English of six universities in Iraq's Kurdistan Region. A semi-structured interview (...) was developed for EFL students. The questionnaire was online and an open-ended one. The data from the participants was analyzed using thematic analysis with (SPSS) software. The finding revealed a perceived failure in EFL students' English-speaking skills and this was reported along with causes of the perceived difficulty. The finding also revealed a poor level of speaking ability among EFL undergraduates as well as little education in the skill at the university level. Apart from these, the study discovered some major challenges for EFL students such as lack of confidence, lack of planning, a demotivating atmosphere, incorrect word choice, poor gestures, and incorrect style which made the students not to be successful in their speaking abilities. The study suggested that EFL learners' competency should be securitized to strengthen their speaking abilities in the light of the results of the study. Speaking is a crucial ability in language acquisition and EFL teachers should help their students acquire it. As a means of improving students' communicative ability, task-based instruction should be utilized in educational institutions and universities. The implication of this paper is that speaking difficulties among EFL students in the Iraqi Kurdistan Region institution can be solved by putting greater focus on this ability. There are several issues to consider, including teachers, instructional methodologies, the curriculum, extracurricular activities, and assessment rules. (shrink)

We develop a structure theory for nilpotent symplectic alternating algebras. -/- We then give a classification of all nilpotent symplectic alternating algebras of dimension up to 10 over any field F. The study reveals a new subclasses of powerful groups that we call powerfully nilpotent groups and powerfully soluble groups.

Abstract: Colon cancer is a prevalent and life-threatening disease, necessitating accurate and timely diagnosis for effective treatment and improved patient outcomes. This research paper presents the development of a knowledge-based system for diagnosing colon cancer using the CLIPS language. Knowledge-based systems offer the potential to assist healthcare professionals in making informed diagnoses by leveraging expert knowledge and reasoning mechanisms. The methodology involves acquiring and structuring medical knowledge specific to colon cancer, followed by the implementation of a knowledge- based system using (...) CLIPS. The system's design integrates relevant medical databases and employs advanced reasoning mechanisms to facilitate accurate diagnosis. Evaluation results demonstrate the system's effectiveness, with high accuracy and sensitivity rates compared to existing methods. The findings highlight the potential of knowledge-based systems in improving clinical practice and patient care. The research contributes to the growing field of medical informatics by demonstrating the feasibility and effectiveness of CLIPS-based knowledge systems for colon cancer diagnosis. Future research can focus on enhancing system performance and expanding its scope to encompass other types of cancer diagnoses. (shrink)