Results for 'S. Alkan'

966 found
Order:
  1. Music Policies İn Turkish Single-Party Era: Religious Music Example.Uğur Alkan - 2018 - Tasavvur - Tekirdag Theology Journal 4 (2):452 - 469.
    Upon abolition of the sultanate, proclamation of the Republic, and termination of the seemingly existing caliphate position, the 1921 Constitution was replaced with the 1924 Constitution, which would remain in full force until 1961. It is observed that as a result of all such consecutive developments, the no. 677 Law on Preclusion and Abolition of Lodges, Zawiyahs, Tomb Keepers and Some Titles, which had been presented to the assembly with a bill prepared by Refik Koraltan, a member of the parliament (...)
    Download  
     
    Export citation  
     
    Bookmark  
  2. An Intelligent Tutoring System for Teaching French.Randa Amer Khella & Samy S. Abu-Naser - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (2):9-13.
    The paper depicts the blueprint of an electronic wise indicating system for demonstrating learning French to understudies to overcome the inconveniences they go up against. The fundamental idea of this structure is a proficient introduction into learning French. The system shows the purpose of learning French and coordinates thusly made issues for the understudies to clarify. The system is logically balanced at run time to the understudy’s individual progress. The system gives unequivocal help to adaptable presentation to learners.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  3. Fair Allocation of GLP-1 and Dual GLP-1-GIP Receptor Agonists.Ezekiel J. Emanuel, Johan L. Dellgren, Matthew S. McCoy & Govind Persad - forthcoming - New England Journal of Medicine.
    Glucagon-like peptide-1 (GLP-1) receptor agonists, such as semaglutide, and dual GLP-1 and glucose-dependent insulinotropic polypeptide (GIP) receptor agonists, such as tirzepatide, have been found to be effective for treating obesity and diabetes, significantly reducing weight and the risk or predicted risk of adverse cardiovascular events. There is a global shortage of these medications that could last several years and raises questions about how limited supplies should be allocated. We propose a fair-allocation framework that enables evaluation of the ethics of current (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  4. The Role of Artificial Intelligence in Revolutionizing Health: Challenges, Applications, and Future Prospects.Nesreen Samer El_Jerjawi, Walid F. Murad, Dalia Harazin, Alaa N. N. Qaoud, Mohammed N. Jamala, Bassem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):7-15.
    rtificial Intelligence (AI) is swiftly becoming a fundamental element in modern healthcare, bringing unparalleled capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper delves into AI's transformative impact on the healthcare sector, highlighting how it enhances patient outcomes, boosts the efficiency of medical practices, and introduces new ethical and operational challenges. Through an analysis of current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, the paper underscores the significant advancements AI has introduced to (...)
    Download  
     
    Export citation  
     
    Bookmark  
  5. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  6. Breast Cancer Knowledge Based System.Mohammed H. Aldeeb & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems 7 (6):46-51.
    Abstract: The Knowledge-Based System for Diagnosing Breast Cancer aims to support medical students in enhancing their education regarding diagnosis and counseling. The system facilitates the analysis of biopsy images under a microscope, determination of tumor type, selection of appropriate treatment methods, and identification of disease-related questions. According to the Ministry of Health's annual report in Gaza, there were 7,069 cases of breast cancer between 2009 and 2014, with 1,502 cases reported in 2014. In an era dominated by visual information, where (...)
    Download  
     
    Export citation  
     
    Bookmark  
  7. 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, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  8. Artificial Intelligence in Healthcare: Transforming Patient Care and Medical Practices.Jawad Y. I. Alzamily, Hani Bakeer, Husam Almadhoun, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (8):1-9.
    Abstract: Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern healthcare, offering unprecedented capabilities in diagnostics, treatment planning, patient care, and healthcare management. This paper explores the transformative impact of AI on the healthcare sector, examining how it enhances patient outcomes, improves the efficiency of medical practices, and introduces new ethical and operational challenges. By analyzing current applications such as AI-driven diagnostic tools, personalized medicine, and hospital management systems, this paper highlights the significant advancements AI has brought to the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  9. FILIPINO TIKTOK INFLUENCERS AND PURCHASING BEHAVIOR OF YOUNG PROFESSIONALS.Rizza G. De La Luna, Al John A. Apana, Ivan Claude D. Aure, Joyce S. Catapang, Simon Jude A. Galut, Hazon B. Punongbayan & Jowenie A. Mangarin - 2024 - Get International Research Journal 2 (1):148–164.
    The traditional use of conventional media by businesses for audience targeting has shifted with the rise of influencer marketing, notably on platforms like TikTok, posing challenges in content adaptation and technological adaptation. Albert Bandura's Social Cognitive Theory examines factors shaping purchasing behavior, particularly relevant for young professionals. A quantitative correlational study focused on young professionals engaging with TikTok and influenced by Filipino TikTok creators, revealing education level as a key determinant of purchasing behavior. Extended TikTok engagement positively correlates with increased (...)
    Download  
     
    Export citation  
     
    Bookmark  
  10. Advancements in AI for Medical Imaging: Transforming Diagnosis and Treatment.Zakaria K. D. Alkayyali, Ashraf M. H. Taha, Qasem M. M. Zarandah, Bassem S. Abunasser, Alaa M. Barhoom & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research(Ijaer) 8 (8):8-15.
    Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  11. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  12. AI-Driven Innovations in Agriculture: Transforming Farming Practices and Outcomes.Jehad M. Altayeb, Hassam Eleyan, Nida D. Wishah, Abed Elilah Elmahmoum, Ahmed J. Khalil, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):1-6.
    Abstract: Artificial Intelligence (AI) is transforming the agricultural sector, enhancing both productivity and sustainability. This paper delves into the impact of AI technologies on agriculture, emphasizing their application in precision farming, predictive analytics, and automation. AI-driven tools facilitate more efficient crop and resource management, leading to higher yields and a reduced environmental footprint. The paper explores key AI technologies, such as machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  13. Fish Classification Using Deep Learning.M. N. Ayyad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):51-58.
    Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...)
    Download  
     
    Export citation  
     
    Bookmark  
  14. The Role of AI in Enhancing Business Decision-Making: Innovations and Implications.Faten Y. A. Abu Samara, Aya Helmi Abu Taha, Nawal Maher Massa, Tanseen N. Abu Jamie, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):8-15.
    Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...)
    Download  
     
    Export citation  
     
    Bookmark  
  15. Fine-tuning MobileNetV2 for Sea Animal Classification.Mohammed Marouf & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):44-50.
    Abstract: Classifying sea animals is an important problem in marine biology and ecology as it enables the accurate identification and monitoring of species populations, which is crucial for understanding and protecting marine ecosystems. This paper addresses the problem of classifying 19 different sea animals using convolutional neural networks (CNNs). The proposed solution is to use a pretrained MobileNetV2 model, which is a lightweight and efficient CNN architecture, and fine-tune it on a dataset of sea animals. The results of the study (...)
    Download  
     
    Export citation  
     
    Bookmark  
  16. Tomato Leaf Diseases Classification using Deep Learning.Mohammed F. El-Habibi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):73-80.
    Abstract: Tomatoes are among the most popular vegetables in the world due to their frequent use in many dishes, which fall into many varieties in common and traditional foods, and due to their rich ingredients such as vitamins and minerals, so they are frequently used on a daily basis, When we focus our attention on this vegetable, we must also focus and take into consideration the diseases that affect this vegetable, a deep learning model that classifies tomato diseases has been (...)
    Download  
     
    Export citation  
     
    Bookmark  
  17.  62
    One R or the other – an experimental bioethics approach to 3R dilemmas in animal research.Christian Rodriguez Perez, David M. Shaw, Brian D. Earp, Bernice S. Elger & Kirsten Persson - 2024 - Medicine, Health Care and Philosophy (4):497-512.
    Sacrificial dilemmas such as the trolley problem play an important role in experimental philosophy (x-phi). But it is increasingly argued that, since we are not likely to encounter runaway trolleys in our daily life, the usefulness of such thought experiments for understanding moral judgments in more ecologically valid contexts may be limited. However, similar sacrificial dilemmas are experienced in real life by animal research decision makers. As part of their job, they must make decisions about the suffering, and often the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  18. Utilization of Injectable Drugs for Communicable and Non-communicable Diseases in Primary Healthcare: A Retrospective Study in Turkey.Selcan Tülü Çolak, Caner Vızdıklar, Volkan Aydın, Başak Dönertaş Ayaz, Ali Alkan & Ahmet Akıcı - 2023 - European Journal of Therapeutics 29 (1):23-31.
    Objective: Primary care, which is often the first level of contact for patients with various communicable diseases (CDs) and noncommunicable diseases (NCDs), might exhibit patterns of injectable drug utilization different from hospitals. We aimed to examine injection prescribing to adults with CD or NCD in primary care. -/- Methods: In this retrospective study, single-diagnosis injectable drug-containing prescription data from Family Medicine Information System comprising 32 provinces of Turkey were analysed. The prescriptions were grouped by diagnosis as “CD” (n=3848) and “NCD” (...)
    Download  
     
    Export citation  
     
    Bookmark  
  19. THE DIARY OF BIDA-BIDA: UNDERSTANDING THE CONSEQUENCES OF 'SMART SHAMING' AMONG SENIOR HIGH SCHOOL STUDENT LEADERS.Anika M. Untalan, Alisson A. Abanes, Noel T. Bambao Jr, Landher J. Baon, John Cyrus M. Barrientos, John Carl C. Carenan, Rhaniel Joseph C. Lanic, Troy Christian D. Ortego, Lhei Ashera C. Bayugo, Sara S. Espole, Nicole A. Sale, Janelle D. Samillano, Candy Rose C. Simballa & Jowenie A. Mangarin - 2024 - Get International Research Journal 2 (2):47-60.
    Academic excellence and intelligence are commonly lauded as commendable attributes synonymous with success. However, a disconcerting trend has surfaced within educational institutions, challenging the prevailing narrative of scholastic accomplishment—smart shaming. This research delves into the increasing concern of smart shaming within educational settings, particularly at Immaculate Conception College of Balayan, Inc., questioning the predominant emphasis on academic excellence and intelligence. A qualitative case study design, along with judgmental sampling, was employed to examine fifteen (15) student leaders who had experienced smart (...)
    Download  
     
    Export citation  
     
    Bookmark  
  20. Using Deep Learning to Classify Corn Diseases.Mohanad H. Al-Qadi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems (Ijaisr) 8 (4):81-88.
    Abstract: A corn crop typically refers to a large-scale cultivation of corn (also known as maize) for commercial purposes such as food production, animal feed, and industrial uses. Corn is one of the most widely grown crops in the world, and it is a major staple food for many cultures. Corn crops are grown in various regions of the world with different climates, soil types, and farming practices. In the United States, for example, the Midwest is known as the "Corn (...)
    Download  
     
    Export citation  
     
    Bookmark  
  21.  93
    AI-Driven Learning: Advances and Challenges in Intelligent Tutoring Systems.Amjad H. Alfarra, Lamis F. Amhan, Msbah J. Mosa, Mahmoud Ali Alajrami, Faten El Kahlout, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Applied Research (Ijaar) 8 (9):24-29.
    Abstract: The incorporation of Artificial Intelligence (AI) into educational technology has dramatically transformed learning through Intelligent Tutoring Systems (ITS). These systems utilize AI to offer personalized, adaptive instruction tailored to each student's needs, thereby improving learning outcomes and engagement. This paper examines the development and impact of ITS, focusing on AI technologies such as machine learning, natural language processing, and adaptive algorithms that drive their functionality. Through various case studies and applications, it illustrates how ITS have revolutionized traditional educational methods (...)
    Download  
     
    Export citation  
     
    Bookmark  
  22. Students' Economic Status and Access to Technology in Relation to Their Academic Stress on Online Learning at the University of Bohol.Kim B. Penaflor, Mae Arcely P. Acera, Esther Jay P. Melencion, Ma Ella May R. Ampac, Angela T. Toribio, Karla Mari S. Gaterin, Marian O. Agan, Glenn Lawrence P. Doloritos, Xenita Vera P. Oracion, Bonnibella L. Jamora & Kristine Mae V. Lumanas - 2023 - Academe University of Bohol, Graduate School and Professional Studies 22 (1):25-38.
    Socioeconomic status refers to the family's social and economic standing in society. It is measured by combining an individual or group's economic and social position, which is often based on income, education, and occupation. It significantly affects academic performance and even one's health status. The pandemic changed the educational system, causing a huge transition from traditional learning methods to online learning. This shift resulted in confusion, burden, and difficulty among students from different walks of life. This study was conducted to (...)
    Download  
     
    Export citation  
     
    Bookmark  
  23.  58
    Breakthroughs in Breast Cancer Detection: Emerging Technologies and Future Prospects.Ola I. A. Lafi, Rawan N. A. Albanna, Dina F. Alborno, Raja E. Altarazi, Amal Nabahin, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Health and Medical Research (IJAHMR) 8 (9):8-15.
    Abstract: Early detection of breast cancer is vital for improving patient outcomes and reducing mortality rates. Technological advancements have significantly enhanced the accuracy and efficiency of screening methods. This paper explores recent innovations in early detection, focusing on the evolution of digital mammography, the benefits of 3D mammography (tomosynthesis), and the application of advanced imaging techniques such as molecular imaging and MRI. It also examines the role of artificial intelligence (AI) in diagnostic tools, showing how machine learning algorithms are improving (...)
    Download  
     
    Export citation  
     
    Bookmark  
  24. An Expert System for Diagnosing Shortness of Breath in Infants and Children.Jihan Y. AbuEl-Reesh & Samy S. Abu-Naser - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 1 (4):89-101.
    Background: With the coming of the Industrial Revolution, the levels of pollution grow significantly. This Technological development contributed to the worsening of shortness breath problems in great shape. especially in infants and children. There are many shortness breath diseases that infants and children face in their lives. Shortness of breath is one of a very serious symptom in children and infants and should never be ignored. Objectives: Along these lines, the main goal of this expert system is to help physician (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  25. Equality, Citizenship and Segregation: A defense of separation.Michael S. Merry - 2013 - New York: Palgrave Macmillan.
    In this book I argue that school integration is not a proxy for educational justice. I demonstrate that the evidence consistently shows the opposite is more typically the case. I then articulate and defend the idea of voluntary separation, which describes the effort to redefine, reclaim and redirect what it means to educate under preexisting conditions of segregation. In doing so, I further demonstrate how voluntary separation is consistent with the liberal democratic requirements of equality and citizenship. The position I (...)
    Download  
     
    Export citation  
     
    Bookmark   8 citations  
  26. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  27. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  28. Harnessing Artificial Intelligence for Effective Leadership: Opportunities and Challenges.Sabreen R. Qwaider, Mohammed M. Abu-Saqer, Islam Albatish, Azmi H. Alsaqqa, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):6-11.
    Abstract: The integration of Artificial Intelligence (AI) into leadership practices is transforming organizational dynamics and This decision-making processes. paper explores how AI can enhance leadership effectiveness by providing data-driven insights, optimizing decision-making, and automating routine tasks. It also examines the challenges leaders face in 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 provide a comprehensive overview of the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  29. AI-Driven Organizational Change: Transforming Structures and Processes in the Modern Workplace.Mohammed Elkahlout, Mohammed B. Karaja, Abeer A. Elsharif, Ibtesam M. Dheir, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - Information Journal of Academic Information Systems Research (Ijaisr) 8 (8):38-45.
    Abstract: Artificial Intelligence (AI) is revolutionizing organizational dynamics by reshaping both structures and processes. This paper explores how AI-driven innovations are transforming organizational frameworks, from hierarchical adjustments to decentralized decision-making models. It examines the impact of AI on various processes, including workflow automation, data analysis, and enhanced decision support systems. Through case studies and empirical research, the paper highlights the benefits of AI in improving efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges associated with AI (...)
    Download  
     
    Export citation  
     
    Bookmark  
  30. Educational Justice and the Gifted.Michael S. Merry - 2008 - Theory and Research in Education 6 (1):47-70.
    In this article I examine two basic questions: first, what constitutes a gifted person, and secondly, is there justification in making special educational provision for gifted children, where special provision involves spending more on their education than on the education of ‘normal’ children? I consider a hypothetical case for allocating extra resources for the gifted, and argue that gifted children are generally denied educational justice if they fail to receive an education that adequately challenges them. I further argue that an (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  31. Risk, Harm and Intervention: the case of child obesity.Michael S. Merry & Kristin Voigt - 2014 - Medicine, Health Care and Philosophy 17 (2):191-200.
    In this paper we aim to demonstrate the enormous ethical complexity that is prevalent in child obesity cases. This complexity, we argue, favors a cautious approach. Against those perhaps inclined to blame neglectful parents, we argue that laying the blame for child obesity at the feet of parents is simplistic once the broader context is taken into account. We also show that parents not only enjoy important relational prerogatives worth defending, but that children, too, are beneficiaries of that relationship in (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  32. UTILIZING CASSAVA STARCH AND POWDERED RICE BRAN IN MAKING BIODEGRADABLE STRAWS.Christine Samantha M. Collado, Mark Anthony C. Yu, Bianca China C. Labrador, Kyll Marinel P. Dasmariñas, Roshelyn D. Omictin, Alexa Gabrielle M. Tagud, Raffy S. Virtucio & Kristian T. Escasinas - 2023 - Get International Research Journal 1 (2).
    Numerous agricultural wastes are impractically discarded every day, and one of these is rice bran. This study investigated the production of a biodegradable straw made of cassava starch and powdered rice bran. It aimed to determine the effectiveness of the different treatments of Cassava Starch-Rice Bran in terms of water resistance, tensile strength, and biodegradability. An experimental design was used in conducting the study. There were three treatments made in making CSRB straws: the first, with more rice bran; the second, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  33. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  34. AWARENESS AND ACCEPTANCE OF BALAYEÑOS TOWARDS THE USE OF E- MONEY SYSTEMS.Aina Darlene B. Oñate, Patrick Paul R. Pacis, Michael M. Secreto, Renji Jones P. Villaranda, Mary Bernadette S. Sobrevilla & Jowenie A. Mangarin - 2024 - Get International Research Journal 2 (1):1–16.
    E-money systems have revolutionized global business transactions through digital payment methods. This quantitative correlational study aimed to assess the awareness and acceptance of e-money among individuals in Balayan, Batangas. Employing quota and purposive sampling, 100 participants aged 21 to 70 completed a survey questionnaire. Statistical analysis revealed that consumers were aware of e-money but lacked comprehensive knowledge. They acknowledged the convenience of e-money for online shopping and expense tracking. Age significantly influenced acceptance, while gender did not exhibit a similar effect. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  35. Advancements in Early Detection of Breast Cancer: Innovations and Future Directions.Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi, Fatima M. Salman, Mohammed Naji Abu Al-Qumboz, Bassem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (8):15-24.
    Abstract: Early detection of breast cancer plays a pivotal role in improving patient prognosis and reducing mortality rates. Recent technological advancements have significantly enhanced the accuracy and effectiveness of breast cancer screening methods. This paper explores the latest innovations in early detection, including the evolution of digital mammography, the impact of 3D mammography (tomosynthesis), and the use of advanced imaging techniques such as molecular imaging and MRI. Furthermore, the integration of artificial intelligence (AI) in diagnostic tools is discussed, highlighting how (...)
    Download  
     
    Export citation  
     
    Bookmark  
  36. What is Legal Moralism?Thomas S.øøbirk Petersen - 2011 - SATS 12 (1):80-88.
    The aim of this critical commentary is to distinguish and analytically discuss some important variations in which legal moralism is defined in the literature. As such, the aim is not to evaluate the most plausible version of legal moralism, but to find the most plausible definition of legal moralism. As a theory of criminalization, i.e. a theory that aims to justify the criminal law we should retain, legal moralism can be, and has been, defined as follows: the immorality of an (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  37. Navigating the Ethical Landscape of Artificial Intelligence: Challenges and Solutions.Alaa N. Akkila, Mohammed A. Alkahlout, Suheir H. ALmurshid, Alaa Soliman Abu Mettleq, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Engineering and Information Systems (IJEAIS) 8 (8):68-73.
    Abstract: As artificial intelligence (AI) technologies become increasingly integrated into various sectors, ethical considerations surrounding their development and deployment have become paramount. This paper explores the multifaceted ethical landscape of AI, focusing on key challenges such as bias, transparency, privacy, and accountability. It examines how these issues manifest in AI systems and their impact on society. The paper also evaluates current approaches and solutions aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices for AI design. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  38.  28
    Daklozen moet je beschermen, desnoods tegen hun zin.Bart Van Leeuwen & Michael S. Merry - 2018 - Sociale Vraagstukken 1.
    De burgemeester van Etterbeek liet tijdens de afgelopen periode van vrieskou daklozen van straat halen. Soms tegen hun wil in. Omdat het soms nodig is om mensen tegen zichzelf te beschermen.
    Download  
     
    Export citation  
     
    Bookmark  
  39. RAINFALL DETECTION USING DEEP LEARNING TECHNIQUE.M. Arul Selvan & S. Miruna Joe Amali - 2024 - Journal of Science Technology and Research 5 (1):37-42.
    Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and timely rainfall prediction can be very helpful to take effective security measures in dvance regarding: on-going construction projects, transportation activities, agricultural tasks, flight operations and flood situation, etc. Data mining techniques can effectively predict the rainfall by extracting the hidden patterns among available features of past weather data. This research contributes by providing a critical analysis and review of latest data mining techniques, used for rainfall prediction. In (...)
    Download  
     
    Export citation  
     
    Bookmark  
  40. Vegetable Classification Using Deep Learning.Mostafa El-Ghoul & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):105-112.
    Abstract: Vegetables are an essential component of a healthy diet and play a critical role in promoting overall health and well- being. Vegetables are rich in important vitamins and minerals, including vitamin C, folate, potassium, and iron. They also provide fiber, which helps maintain digestive health and prevent chronic diseases. We are proposing a deep learning model for the classification of vegetables. A dataset was collected from Kaggle depository for Vegetable with 15000 images for 15 different classes. The data was (...)
    Download  
     
    Export citation  
     
    Bookmark  
  41.  95
    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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
  42. A SWOT ANALYSIS OF BRICK-AND-MORTAR FOR MICRO-BUSINESSES OVER CLICK-AND-MORTAR IN SELECTED BUSINESSES IN BALAYAN, BATANGAS YEAR 2023.Gemma B. Aquino, Jhon Francis B. Agunos, David Angelo S. Aldave, Kristopher M. Panaligan, Kay-C. D. Magpantay & Jowenie A. Mangarin - 2024 - Get International Research Journal 2 (1):165-182.
    This study investigates the dynamics of brick-and-mortar versus click-and-mortar microbusinesses, focusing on the strengths, weaknesses, opportunities, and threats (SWOT) within the local context of Balayan. Ten purposively sampled microbusiness entrepreneurs were examined using the SWOT method. The findings underscore the significance of product assessment, communication, and customer experiences in cultivating trust. Sensory experiences and competitive pricing emerge as strengths, while challenges such as poor sales necessitate strategic interventions. External factors, particularly technological advancements, exert influence on the retail landscape. Key strategies (...)
    Download  
     
    Export citation  
     
    Bookmark  
  43. Understanding Institutions without Collective Acceptance?Pekka Mäkelä, Raul Hakli & S. M. Amadae - 2018 - Philosophy of the Social Sciences 48 (6):608-629.
    Francesco Guala has written an important book proposing a new account of social institutions and criticizing existing ones. We focus on Guala’s critique of collective acceptance theories of institutions, widely discussed in the literature of collective intentionality. Guala argues that at least some of the collective acceptance theories commit their proponents to antinaturalist methodology of social science. What is at stake here is what kind of philosophizing is relevant for the social sciences. We argue that a Searlean version of collective (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  44. The Reality of the Employees Performance in the Palestinian Cellular Telecommunications Company (Jawwal).Abdalqader A. Msallam, Amal A. Al Hila, Wasim I. Al-Habil, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 12 (2):9-19.
    The aim of this study was to identify the reality of the performance of the employees in The Palestinian Cellular Telecommunications Company (Jawwal), and to find the differences between the views of the study sample on the variables of the study according to the variables (age, scientific qualification, field of work and years of service). To achieve the objectives of the study, a questionnaire was designed and developed to measure the variables of the study applied to the company's 70 employees. (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  45. EFFECTIVENESS OF UTILIZING INDUCED MAGNETISM ON THE SEED GERMINATION OF RADISH (RAPHANUS SATIVUS).Melanie Dawn C. Aquita, Blanch Byrel E. Fadera, Marie Antonette V. Biado, Caryl Faith B. Gonzales, Ajaye G. Uminga & Raffy S. Virtucio - 2023 - Get International Research Journal 1 (2).
    This study investigated the effectiveness of utilizing induced magnetism on the seed germination of radish (Raphanussativus) in terms of growth rate, growth speed, shoot growth, and overall development. This study utilized two groups that consisted of an experimental group where induced magnetism was present one control group where there was an absence of induced magnetism in the seed germination of Radish (Raphanus sativus). Moreover, this study aimed to determine the significant difference between the two in terms growth rate, growth speed, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  46. UTILIZATION OF A DUAL-AXIS SOLAR TRACKER TO INCREASE THE EFFECTIVENESS OF SOLAR PANELS IN THE STORAGE OF POWER IN LITHIUM-ION BATTERIES.Geodizon Iman C. Bermudez, Joanna Patricia U. Develleres, Danniah Shamella N. Palao, Kate Aileen M. Gromia, Rainer Jade T. Daingan & Raffy S. Virtucio - 2023 - Get International Research Journal 1 (2).
    This study was conducted to determine the effectiveness of utilizing the Dual-axis Solar Tracker in harnessing solar energy and storing it in lithium-ion batteries in terms of voltage and milliamps per hour gained. This study utilized two solar panel systems, the Static Solar Panel System and the Dual-Axis Solar Tracker and aimed to prove the significant difference generated by solar panel systems in terms of voltage and milliamps per hour. This study employed an Applied Experimental Research Design utilizing Arduino Uno, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  47.  37
    From language to algorithm: trans and non-binary identities in research on facial and gender recognition.Katja Thieme, Mary Ann S. Saunders & Laila Ferreira - 2024 - AI and Ethics 2024.
    We assess the state of thinking about gender identities in computer vision through an analysis of how research papers in gender and facial recognition are designed, what claims they make about trans and non-binary people, what values they espouse, and what they describe as ongoing challenges for the field. In our corpus of 50 research papers, the seven papers that consider trans and non-binary identities use questionable assumptions about medicalization as a measure of transness, about gender transition as a linear (...)
    Download  
     
    Export citation  
     
    Bookmark  
  48. Creative Behavior and Impact on Achieving Lean Strategy in Organizations.K. Hamdan Muhammad, A. El Talla Suliman, Shobaki Mazen & Samy S. Abu-Naser - 2020 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 4 (6):66-88.
    The study aimed to identify creative behavior and its impact on achieving Lean strategy in Palestinian civil organizations. The study used the descriptive analytical approach and the questionnaire as a main tool for collecting data from employees of associations operating in the governorates of Gaza Strip. The cluster sample method was used and the sample size was (343) individuals. Retrieving (298) questionnaires, and the following results were reached: The relative weight of the measure of Lean strategy was 79.04 (%), and (...)
    Download  
     
    Export citation  
     
    Bookmark  
  49. Scepticism and Naturalism in Cavell and Hume.Peter S. Fosl - 2015 - International Journal for the Study of Skepticism 5 (1):29-54.
    This essay argues that the exploration of scepticism and its implications in the work of Stanley Cavell and David Hume bears more similarities than is commonly acknowledged, especially along the lines of what I wish to call “sceptical naturalism.” These lines of similarity are described through the way each philosopher relates the “natural” and “nature” to the universal, the necessary, and the conventional.
    Download  
     
    Export citation  
     
    Bookmark  
  50. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark  
1 — 50 / 966