Results for 'Mohammed Sadeq Mahdi Al- Musawi'

972 found
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  1. Relation of common ABL kinase domain mutations with resistance to Tyrosine Kinase Inhibiters in patients with Chronic Myeloid Leukemia in Middle Euphrates of Iraq.Mohammed Sadeq Mahdi Al- Musawi - 2020 - International Journal of Scientific Research and Management (IJSRM) 8 (02).
    Background: Chronic myeloid leukemia (CML) is a hematopoietic stem cell disease, associated with a reciprocal translocation between chromosomes 9 and chromosome 22, lead to the formation of the BCRABL fusion gene (Philadelphia chromosome). This fusion gene is believed to play golden role in the initial development of CML with constitutive tyrosine kinase activation. Successful use of tyrosine kinase inhibiters (TKIs) play a role in improve survival and increase prevalence of CML, but un fortunately mutations in the BCR-ABL kinase domain may (...)
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  2. Estimation of C-Reactive Protein, Immunoglobulin’s and Complements in SCD Patients.Maha Khalaf Al-Mishry, Nadhim K. Mahdi & Sadeq K. Ali AlSalait - 2018 - International Journal of Academic Health and Medical Research (IJAHMR) 2 (6):1-4.
    Abstract: Sickle cell disease (SCD) comprises an inherited blood disorder that is life long and affects many people globally. Despite progress in therapy, SCA is a considerable cause of mortality and morbidity. This study was designed to measure the immunological and inflammatory parameters of patients with sickle cell disease (SCD) and to found if there is any role of it in the pathogenicity of the disease. This study included A total of 32 patients, their ages ranged from 16 to 55 (...)
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  3. An intelligent tutoring system for teaching advanced topics in information security.Ali O. Mahdi, Mohammed I. Alhabbash & Samy S. Abu Naser - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (12):1-9.
    Recently there is an increasing technological development in intelligent tutoring systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching information security. This intelligent tutoring systems target the students enrolled in Advanced Topics in Information Security in the faculty of Engineering and Information Technology at Al-Azhar University in Gaza. Through which the student will be able to study the course and solve related problems. An evaluation of the intelligent tutoring systems (...)
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  4. An Intelligent Tutoring System for Teaching Grammar English Tenses.Mohammed I. Alhabbash, Ali O. Mahdi & Samy S. Abu Naser - 2016 - European Academic Research 4 (9):1-15.
    The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the design of (...)
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  5. Determinants of Organizational Justice and Their Relationship to Conscientious Behavior from the Point Of View of Officers Working In the Palestinian Police Force.Mohammed N. R. Abusamaan, Mazen J. Al-Shobaki, Suliman A. El Talla & Samy S. Abu-Naser - 2021 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 5 (2):67-88.
    Abstract: Purpose - This study aimed to analyze the relationship between the determinants of organizational justice and their relationship to conscientious behavior from the point of view of officers working in the Palestinian police in Gaza Strip. Methodology - The study relied on the descriptive and analytical approach, using the questionnaire, targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers. The study tool was distributed among the (...)
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  6. The Behavior of Organizational Citizenship in Palestinian Police Force between Reality and Expectations.Mohammed N. R. Abusamaan, Mazen J. Al Shobaki, Suliman A. El Talla & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (10):167-197.
    Abstract: This study aimed to identify the behavior of organizational citizenship in Palestinian Police Force between reality and expectations, and this study comes to study the reality of human resources and their organizational behavior in the police apparatus, which is the largest security services operating in Gaza Strip, so it is expected that this study will contribute to improving this This aspect will be reflected positively on serving the country and the citizen and achieving security and safety for them. The (...)
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  7. A Proposed Expert System for Strawberry Diseases Diagnosis.Raed Z. Sababa, Mohammed F. El-Habibi, Mosa M. M. Megdad, Mohammed J. A. AlQatrawi, Mohanad H. Al-Qadi & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (5):52-66.
    Background: There is no doubt that strawberry diseases are one of the most important reasons that led to the destruction of strawberry plants and their crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...)
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  8. Sensing Organizational Justice and Its Relationship to Altruistic Behavior in the Palestinian Police.Mohammed N. R. Abusamaan, Mazen J. Al Shobaki, Suliman A. El Talla & Samy S. Abu-Naser - 2021 - International Journal of Academic Accounting, Finance and Management Research(IJAAFMR) 5 (3):17-43.
    Abstract: This study aimed to analyze the relationship between the determinants of organizational justice and altruistic behavior from the point of view of the police officers in Gaza Strip. The study relied on the descriptive and analytical approach, using the questionnaire, and targeting a stratified random sample of (400) officers, who hold the rank of captain and above, from the study population of 1550 officers, and the study tool was distributed to the sample members in all departments and governorates Police (...)
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  9. Ethics in AI: Balancing Innovation and Responsibility.Mosa M. M. Megdad, Mohammed H. S. Abueleiwa, Mohammed Al Qatrawi, Jehad El-Tantaw, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):20-25.
    Abstract: As artificial intelligence (AI) technologies become more integrated across various sectors, ethical considerations in their development and application have gained critical importance. This paper delves into the complex ethical landscape of AI, addressing significant challenges such as bias, transparency, privacy, and accountability. It explores how these issues manifest in AI systems and their societal impact, while also evaluating current strategies aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices in AI design. Through a comprehensive (...)
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  10. Learning Computer Networks Using Intelligent Tutoring System.Mones M. Al-Hanjori, Mohammed Z. Shaath & Samy S. Abu Naser - 2017 - International Journal of Advanced Research and Development 2 (1).
    Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. A preliminary evaluation of (...)
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  11. Knowledge Based System for Diagnosing Custard Apple Diseases and Treatment.Mustafa M. K. Al-Ghoul, Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Samir Okasha & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):41-45.
    There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...)
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  12. An Analytical Study of the Reality of Electronic Documents and Electronic Archiving in the Management of Electronic Documents in the Palestinian Pension Agency (PPA).Mohammed Khair I. Kassab, Samy S. Abu Naser & Mazen J. Al Shobaki - 2017 - European Academic Research 4 (12):10052-10102.
    The study aims to identify the reality of management of electronic documents and electronic archiving retirement in the Palestinian Pension Agency -analytical study, as well as to recognize the reality of the current document management system in the Palestinian Pension Agency. The study found the following results: that the reality of the current system for the management of documents in the agency is weak and suffers from many jams. Employee in the agency understand the importance and benefits of the management (...)
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  13. Adaptive Intelligent Tutoring System for learning Computer Theory.Mohammed A. Al-Nakhal & Samy S. Abu Naser - 2017 - European Academic Research 4 (10).
    In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according to (...)
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  14. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  15. Rule Based System for Diagnosing Bean Diseases and Treatment.Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Mustafa M. K. Al-Ghoul, Sami M. Okasha & Samy S. Abu-Naser - 2022 - International Journal of Engineering and Information Systems (IJEAIS) 6 (5):67-74.
    Background: A bean is the seed of one of several genera of the flowering plant family Fabaceae, which are used as vegetables for human or animal food. They can be cooked in many different ways, including boiling, frying, and baking, and are used in many traditional dishes throughout the world. Beans are one of the longest-cultivated plants. Broad beans, also called fava beans, in their wild state the size of a small fingernail, were gathered in Afghanistan and the Himalayan foothills. (...)
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  16. Breast Cancer Diagnosis and Survival Prediction Using JNN.Mohammed Ziyad Abu Shawarib, Ahmed Essam Abdel Latif, Bashir Essam El-Din Al-Zatmah & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (10):23-30.
    Abstract: Breast cancer is reported to be the most common cancer type among women worldwide and it is the second highest women fatality rate amongst all cancer types. Notwithstanding all the progresses made in prevention and early intervention, early prognosis and survival prediction rates are still not sufficient. In this paper, we propose an ANN model which outperforms all the previous supervised learning methods by reaching 99.57 in terms of accuracy in Wisconsin Breast Cancer dataset. Experimental results on Haberman’s Breast (...)
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  17. The Reality of the Application of e-DMS in Governmental Institutions - an Empirical Study on the PPA.Mazen J. Al-Shobaki, Samy S. Abu-Naser & Mohammed Khair I. Kassab - 2017 - International Journal of Engineering and Information Systems 1 (2):1-14.
    The research aims to identify the status of the application of electronic document management system in governmental institutions – the study was applied on the Palestinian Pension Agency. The population of this study is composed of all employees in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the descriptive and analytical approach, through which try to describe the phenomenon of the subject of the study, analyze the data and the relationship between the (...)
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  18. Photoshop (CS6) Intelligent Tutoring System.Mohammed Z. Shaath, Mones Al-Hanjouri, Samy S. Abu Naser & Rami ALdahdooh - 2017 - International Journal of Academic Research and Development 2 (1):81-86.
    In this paper, we designed and developed an intelligent tutoring system for teaching Photoshop. We designed the lessons, examples, and questions in a way to teach and evaluate student understanding of the material. Through the feedback provided by this tool, you can assess the student's understanding of the material, where there is a minimum overshoot questions stages, and if the student does not pass the level of questions he is asked to return the lesson and read it again. Eventually this (...)
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  19. Predicting Birth Weight Using Artificial Neural Network.Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (1):9-14.
    In this research, an Artificial Neural Network (ANN) model was developed and tested to predict Birth Weight. A number of factors were identified that may affect birth weight. Factors such as smoke, race, age, weight (lbs) at last menstrual period, hypertension, uterine irritability, number of physician visits in 1st trimester, among others, as input variables for the ANN model. A model based on multi-layer concept topology was developed and trained using the data from some birth cases in hospitals. The evaluation (...)
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  20. Leveraging Artificial Intelligence for Strategic Business Decision-Making: Opportunities and Challenges.Mohammed Hazem M. Hamadaqa, Mohammad Alnajjar, Mohammed N. Ayyad, Mohammed A. Al-Nakhal, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):16-23.
    Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...)
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  21. Artificial Intelligence in Agriculture: Enhancing Productivity and Sustainability.Mohammed A. Hamed, Mohammed F. El-Habib, Raed Z. Sababa, Mones M. Al-Hanjor, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):1-8.
    Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...)
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  22. Developing an Expert System to Diagnose Tomato Diseases.Mohanad H. Al-Qadi, Mohammed F. El-Habibi, Mosa M. M. Megdad, Mohammed J. A. AlQatrawi, Raed Z. Sababa & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):34-40.
    There is no doubt that tomato diseases are one of the important reasons that destroy the tomato plant and its crops. This leads to clear damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid damage to these plants. The expert system diagnoses tomato disease correctly to facilitate farmers (...)
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  23. Neural Network-Based Water Quality Prediction.Mohammed Ashraf Al-Madhoun & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):25-31.
    Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...)
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  24. Strategic Creativity in Islamic Banks in Palestine between Reality and Implementation.S. Keshta Mohamed, A. El Talla Suliman, J. Al Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (3):79-99.
    It aimed to identify the strategic creativity in Islamic banks in Palestine between reality and implementation. The study adopted the descriptive analytical approach. A questionnaire was designed as a tool for the study. The study community consisted of all employees in Islamic banks from the top and middle management and the study has been applied to the Palestinian Islamic bank and the Arab Islamic Bank. The comprehensive inventory method was used, given the small size of the study sample, as questionnaires (...)
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  25. Classification of plant Species Using Neural Network.Muhammad Ashraf Al-Azbaki, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):28-35.
    Abstract: In this study, we explore the possibility of classifying the plant species. We collected the plant species from Kaggle website. This dataset encompasses 544 samples, encompassing 136 distinct plant species. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing plant Species classification accuracy and efficiency. This research explores plant Species classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 544 entries, we develop and evaluate a neural network model. Our neural network, (...)
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  26. Classification of Chicken Diseases Using Deep Learning.Mohammed Al Qatrawi & Samy S. Abu-Naser - 2024 - Information Journal of Academic Information Systems Research (Ijaisr) 8 (4):9-17.
    Abstract: In recent years, the outbreak of various poultry diseases has posed a significant threat to the global poultry industry. Therefore, the accurate and timely detection of chicken diseases is critical to reduce economic losses and prevent the spread of diseases. In this study, we propose a method for classifying chicken diseases using a convolutional neural network (CNN). The proposed method involves preprocessing the chicken images, building and training a CNN model, and evaluating the performance of the model. The dataset (...)
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  27. The Role of Policies and Procedures for the Electronic Document Management System in the Success of the Electronic Document Management System in the Palestinian Pension Agency.Mohammed Khair I. Kassab, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (1):43-57.
    The aim of the research is to identify the role of policies and procedures for the electronic document management system in the success of the electronic document management system in the Palestinian Pension Agency. In order to achieve the objectives of the study, the researchers used the analytical descriptive method in which the tries to describe the phenomenon studied, analyze its data, the relationship between its components and the opinions that are raised around it, and use the comprehensive inventory method (...)
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  28. AI in Leadership: Transforming Decision-Making and Strategic Vision.Mohran H. Al-Bayed, Mohanad Hilles, Ibrahim Haddad, Marah M. Al-Masawabe, Mohammed Ibrahim Alhabbash, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):1-7.
    Abstract: The integration of Artificial Intelligence (AI) into leadership practices is rapidly transforming organizational dynamics and decision-making processes. This paper explores the ways in which AI enhances leadership effectiveness by providing data- driven insights, optimizing decision-making, and automating routine tasks. Additionally, it examines the challenges leaders face when adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to offer a (...)
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  29. Rebelliousness and Street-Level Bureaucrats' Discretion: Evidence From Malaysia.Mohammed Salah Hassan, Raja Noriza Raja Ariffin, Norma Mansor & Hussam Al Halbusi - 2021 - Journal of Administrative Science 18 (1):173-198.
    Street-level bureaucrats are a fundamental part of the implementation process of any policy. This study provides an examination of the factors that shape the behavior of street-level bureaucrats at the frontlines of policy implementation. This study investigates how rebelliousness generates an impact on the discretion of street-level bureaucrats and to what extent client meaningfulness plays a moderating factor. It utilizes a survey questionnaire distributed among inspectors of the Department of Labor in the Ministry of Human Resources of Malaysia (n=241). The (...)
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  30. A Proposed Expert System for Obstetrics & Gynecology Diseases Diagnosis.Mohammed F. El-Habibi, Mosa M. M. Megdad, Mohanad H. Al-Qadi, Mohammed J. A. AlQatrawi, Raed Z. Sababa & Samy S. Abu-Naser - 2022 - International Journal of Academic Multidisciplinary Research (IJAMR) 6 (5):305-321.
    Background: Obstetrics and gynaecology are many and common, where a woman suffers from problems related to pregnancy or her reproductive organs. Any part of her body may be affected due to some symptoms that are completely related to the reproductive organs when she is in a critical period for her, whether in her menstrual cycle, pregnancy, or disease conditions. The bulk of cases of diseases related to women and childbirth are dealt with great care and special care, as all diseases (...)
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  31. On the incoherence of molinism: incompatibility of middle knowledge with divine immutability.Farid al-Din Sebt, Ebrahim Azadegan & Mahdi Esfahani - 2024 - International Journal for Philosophy of Religion 96 (1):23-34.
    We argue that there is an incompatibility between the two basic principles of Molinism, i.e., God’s middle knowledge of counterfactuals of creaturely freedom, and divine immutability. To this end, firstly, we set out the difference between strong and weak immutability: according to the latter only God’s essential attributes remain unchanged, while the former affirms that God cannot change in any way. Our next step is to argue that Molinism ascribes strong immutability to God. However, according to Molinism, some counterfactuals of (...)
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  32. Enhancing Education with Artificial Intelligence: The Role of Intelligent Tutoring Systems.Ahmad Marouf, Rami Al-Dahdooh, Mahmoud Jamal Abu Ghali, Ali Osama Mahdi, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):10-16.
    Abstract: The integration of Artificial Intelligence (AI) into educational technology has revolutionized learning through Intelligent Tutoring Systems (ITS). These systems harness AI to deliver personalized, adaptive instruction that caters to individual student needs, thereby enhancing learning outcomes and engagement. This paper explores the evolution and impact of ITS, highlighting key AI technologies such as machine learning, natural language processing, and adaptive algorithms that underpin their functionality. By examining various case studies and applications, the paper illustrates how ITS have transformed traditional (...)
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  33. Consensus-Based Data Management within Fog Computing For the Internet of Things.Al-Doghman Firas Qais Mohammed Saleh - 2019 - Dissertation, University of Technology Sydney
    The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This results (...)
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  34. Assessing the Financial Effects of Value-Added Tax (VAT) on University Students' Purchasing Behavior in Oman.Hisham AlGhunaimi, Rayan Abdullah Al-Shibil, Najwa Said Al-Hakmani, Hamed Mohammed Alhamoodah & Maya Juma Al-Hakmani - 2024 - Evolutionary Studies in Imaginative Culture 8 (3):967-983.
    This study contributes to the limited literature on VAT’s impact on student populations by assessing the financial strain on university students in Oman. The research provides novel insights into policymaking, suggesting VAT exemptions for essential educational goods and proposing financial literacy programs for mitigating the adverse effects of VAT which employs chi-square tests and regression analysis to quantify the financial effects of VAT on students' purchasing behavior, revealing that VAT negatively impacts purchasing power with a statistically significant p-value (< 0.05). (...)
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  35. AI in HRM: Revolutionizing Recruitment, Performance Management, and Employee Engagement.Mostafa El-Ghoul, Mohammed M. Almassri, Mohammed F. El-Habibi, Mohanad H. Al-Qadi, Alaa Abou Eloun, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):16-23.
    Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized development plans that (...)
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  36. An Intelligent Tutoring System for Learning Computer Network CCNA.Izzeddin A. Alshawwa, Mohammed Al-Shawwa & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):28-36.
    Abstract: Networking is one of the most important areas currently used for data transfer and enterprise management. It also includes the security aspect that enables us to protect our network to prevent hackers from accessing the organization's data. In this paper, we would like to learn what the network is and how it works. And what are the basics of the network since its emergence and know the mechanism of action components. After reading this paper - even if you do (...)
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  37. The Reality of Decision Making in NGOs in Gaza Strip.Rasha O. Owda, Maram Owda, Mohammed N. Abed, Samia A. M. Abdalmenem, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (8):1-10.
    The study aimed to identify the reality of decision-making in the local NGOs in Gaza Strip. In order to achieve the objectives of the study and to test its hypotheses, the analytical descriptive method was used, relying on the questionnaire as a main tool for data collection. The study society was one of the decision makers in the local NGOs in Gaza Strip. The study population reached 78 local NGOs in Gaza Strip. A Census Method of the possible study community (...)
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  38. Knowledge Based System for Diabetes Diagnosis Using SL5 Object.Ibtesam M. Dheir, Alaa Soliman Abu Mettleq, Abeer A. Elsharif, Mohammed N. Abu Al-Qumboz & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (4):1-10.
    Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...)
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  39. Design Thinking and Its Use in NGOs in Gaza Strip.Rasha O. Owda, Maram Owda, Mohammed N. Abed, Samia A. M. Abdalmenem, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (7):41-52.
    The study aimed to identify Design Thinking and its use in NGOs in Gaza Strip. In order to achieve the objectives of the study and to test its hypotheses, the analytical descriptive method was used, relying on the questionnaire as a main tool for data collection. The study society was one of the decision makers in the local NGOs in the Gaza Strip. The study population reached 78 local NGOs in Gaza Strip. The overall inventory of the possible study community (...)
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  40. Generative AI in the Creative Industries: Revolutionizing Art, Music, and Media.Mohammed F. El-Habibi, Mohammed A. Hamed, Raed Z. Sababa, Mones M. Al-Hanjori, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (10):71-74.
    Abstract: Generative AI is transforming the creative industries by redefining how art, music, and media are produced and experienced. This paper explores the profound impact of generative AI technologies, such as deep learning models and neural networks, on creative processes. By enabling artists, musicians, and content creators to collaborate with AI, these systems enhance creativity, speed up production, and generate novel forms of expression. The paper also addresses ethical considerations, including intellectual property rights, the role of human creativity in AI-assisted (...)
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  41. Mint Expert System Diagnosis and Treatment.Mosa M. M. Megdad, Mohammed N. Ayyad, Mohanad H. Al-Qadi, Mohammed F. El-Habibi, Mohammed J. A. AlQatrawi, Raed Z. Sababa & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (5):22-28.
    Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, (...)
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  42. Triangular functions of Al-Tememe Acceleration Methods of First Kind for Improving the Values of Integrals Numerically.Ali Hassan Mohammed & Asmahan Abed Yasir - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (4):60-65.
    Abstract: The main aim of this work is to introduce acceleration methods called a Trigonometric acceleration methods which are of series of numerated methods. In general, these methods named as AL-Tememe’s acceleration methods of first kind to his discoverer ''Ali Hassan Mohammed''. These are very beneficial to acceleration the numerical results for definite integrations with continuous integrands which are of 2nd order main error, with respect to the accuracy and the number of the used subintervals and the fasting obtaining (...)
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  43. Personal Variables and Their Impact on Promoting Job Creation in Gaza Strip through Business Incubators.Maram O. Owda, Rasha O. Owda, Mohammed N. Abed, Samia A. M. Abdalmenem, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 3 (8):65-77.
    The study aimed at identifying the personal variables and their effect in promoting job creation in Gaza Strip through business incubators. The researchers used the descriptive analytical approach to achieve the study objectives. The study population consisted of 92 of the pilot projects benefiting from the three business incubators in Gaza Strip (Palestinian Information Technology Incubator, UCAS Technology Incubator and Business and Technology Incubator). The study reached a number of results, the most important of which are the existence of statistically (...)
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  44.  65
    Ethical Permissibility of Using Artificial Intelligence through the Lens of Al-Farabi's Theory on Natural Rights and Prosperity.Mohamad Mahdi Davar - 2024 - Legal Civilization 6 (18):195-200.
    The discussion of artificial intelligence (AI) as a newly emerging phenomenon in the present era has always been faced with various ethical challenges. The expansion of artificial intelligence is inevitable, and since this phenomenon is related to the human and social world, anything related to humans and society falls within the realm of morality and rights. In doing so, it must be understood whether the use of artificial intelligence is an ethical matter or not. Furthermore, do humans have the right (...)
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  45. The Intercessory Role of the Prophet and the Holy Family through the Concept of the hawd al-kawthar: A Critical Study of Mahmoud Ayoub’s Thoughts.Mahdi Moravveji - 2022 - Turkish Journal of Shiite Studies 4 (1):33-49.
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  46. (1 other version)An Account of Suhrawardī’s Allegories in Light of the Illuminationist Philosophy.Mahdi Homazadeh - 2022 - International Journal of Platonic Tradition 16:1-20.
    In this paper, I seek to explain Suhrawardī’s method of writing his allegories – how he draws upon his philosophical principles to construct forms and plots of his stories. To do so, I begin by delineating two key doctrines of his Illuminationist (Ishrāqī) ontology: the world of Forms (‘ālam al-muthul) and the discontinuous imaginal world (‘ālam al-mithāl al-munfaṣil). I provide an account of the history of these two doctrines and the nature of these two worlds, and then consider some of (...)
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  47.  43
    Content Analysis of the First and Second Chapters of the Eighth Namat of al-Ishārāt wa-al-Tanbīhāt about the Anteriority of Intellectual Pleasure.Mohamad Mahdi Davar & Reyhaneh Sadeghi - 2024 - Research in Islamic Humanities 10 (38):40-48.
    Avicenna has placed the discussion of bliss and happiness as the main axis of the eighth Namat of ishārāt wa-al-tanbīhāt, and he has dedicated the first two chapters of this Namat to the issue of the originality of pleasure and intellectual happiness and its strength compared to other pleasures. In the first chapter, Avicenna has addressed the anteriority of internal pleasure over external pleasure by expressing an "Wahm" and "Tanbih", and he has rejected the views of those who make pleasure (...)
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  48. (1 other version)INVESTIGATING THE ARGUMENTS OF NECESSARY OF EXISTENCE (WĀJIB AL-WUJŪD) IN SUHRAWARDĪ's PHILOSOPHY BASED ON AL-TALWĪḤĀT AND ḤIKMAH AL-ISHRĀQ.Mohamad Mahdi Davar - 2024 - Kanz Philosophia:A Journal for Islamic Philosophy and Mysticism 10 (1):19-34.
    Suhrawardī has presented arguments to support the existence of wājib al-wujūd in many of his works. One of the most fundamental of these arguments, which also has a forward-looking feature, is the one he presents in his books al-Talwīḥāt and Ḥikmah al-Ishrāq. To prove the existence of God, Suhrawardī devised three arguments in al-Talwīḥāt and one argument in Ḥikmah al-Ishrāq, all of which are interpretations of the ṣiddīqīn argument. In this article four of Suhrawardī’s arguments, three of them in al-Talwīḥāt (...)
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  49. بيت الزكاة والصدقات المصري الدور الاجتماعي للأزهر بين خدمة المجتمع ودعم الدولة The Egyptian Zakat and Charity House: The Social Role of Al-Azhar between Community Service & State Support.Mohamed Gamal Ali - 2023 - Hikama 3 (6):146-168.
    This study examines the Egyptian House of Zakat and Charities as an example for Al- Azhar's public role after June 30, 2013. It raises questions regarding Al-Azhar's role in state-society relations, as well as the social, political, and economic implications of the institution's work. The study is based on the concept of the "common sphere," a theoretical model that assumes Al- Azhar's ideal position is to contribute to strengthening cooperative relations between society and the state in a way that reflects (...)
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  50. Hyperbolic Functions of Al-Tememe Acceleration Methods for Improving the Values of Integrations Numerically of First Kind.Ali Hassan Mohammed & Asmahan Abed Yasir - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (5):11-15.
    Abstract: The main aim of this work is to introduce acceleration methods called a hyperbolic acceleration methods which are of series of numerated methods. In general, these methods named as AL-Tememe’s acceleration methods of first kind discovered by (Ali Hassan Mohammed). These are very beneficial to acceleration the numerical results for definite integrations with continuous integrands which are of 2nd order main error, with respect to the accuracy and the number of the used subintervals and the fasting obtaining results. (...)
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