Results for 'Farley S. Nobre'

1000+ found
Order:
  1. Seemings and Moore’s Paradox.R. M. Farley - forthcoming - Erkenntnis:1-22.
    Phenomenal conservatives claim that seemings are sui generis mental states and can thus provide foundational non-doxastic justification for beliefs. Many of their critics deny this, claiming, instead, that seemings can be reductively analyzed in terms of other mental states—either beliefs, inclinations to believe, or beliefs about one’s evidence—that cannot provide foundational non-doxastic justification. In this paper, I argue that no tenable semantic reduction of ‘seems’ can be formulated in terms of the three reductive analyses that have been proposed by critics (...)
    Download  
     
    Export citation  
     
    Bookmark  
  2. Information Systems Governance and Industry 4.0 - epistemology of data and semiotic methodologies of IS in digital ecosystems.Ângela Lacerda Nobre, Rogério Duarte & Marc Jacquinet - 2018 - Advances in Information and Communication Technology 527:311-312.
    Contemporary Information Systems management incorporates the need to make explicit the links between semiotics, meaning-making and the digital age. This focus addresses, at its core, pure rationality, that is, the capacity of human interpretation and of human inscription upon reality. Creating the new real, that is the motto. Humans are intrinsically semiotic creatures. Consequently, semiotics is not a choice or an option but something that works like a second skin, establishing limits and permeable linkages between: human thought and human's infinite (...)
    Download  
     
    Export citation  
     
    Bookmark  
  3. A Rossian Account of the Normativity of Logic.R. M. Farley & Deke Caiñas Gould - 2022 - Southwest Philosophy Review 38 (1):103-113.
    Normativism is the view that logic provides rules for correct reasoning. Some influential critics of normativism, such as Gilbert Harman, claim that logical rules provide reasoners with bad or misleading standards. Others, such as Gillian Russell, claim that logic is a descriptive subject and thus cannot, given Hume’s law, provide rules for reasoning. We think these critics are mistaken. Our aim in this paper is to defend normativism by sketching an alternative way of thinking about the normative force of logical (...)
    Download  
     
    Export citation  
     
    Bookmark  
  4. Casullo on Experiential Justification.R. M. Farley - 2020 - Logos and Episteme 11 (2):179-194.
    In A Priori Justification, Albert Casullo argues that extant attempts to explicate experiential justification—by stipulation, introspection, conceptual analysis, thought experimentation, and/or appeal to intuitions about hypothetical cases—are unsuccessful. He draws the following conclusion: “armchair methods” such as these are inadequate to the task. Instead, empirical methods should be used to investigate the distinction between experiential and non-experiential justification and to address questions concerning the nature, extent, and existence of the a priori. In this essay, I show that Casullo has not (...)
    Download  
     
    Export citation  
     
    Bookmark  
  5. Can Liberalism Last? Demographic Demise and the Future of Liberalism.Jonathan Anomaly & Filipe Nobre Faria - 2023 - Social Philosophy and Policy 40 (2):524-543.
    Liberal political institutions have been an enormous boon for humanity. The free market aspect of liberalism has led to an explosion of innovation, ranging from new kinds of technology and novel forms of entertainment to advances in science and medicine. The emphasis on individual rights at the core of liberalism has increased our ability to explore new ways of living and to construct an identity of our own choosing. But liberal political institutions around the world are facing two crises: low (...)
    Download  
     
    Export citation  
     
    Bookmark  
  6. The Double Movement in Polanyi and Hayek: Towards the continuation of life.Filipe Nobre Faria - 2018 - Ethics, Politics and Society 1:329-350.
    Karl Polanyi's double movement is a dialectical process characterized by a continuous tension between a movement towards social marketization and a movement towards social protectionism. Notably, Polanyi condemns the former movement while defending the latter. Without using the term " double movement " , F.A Hayek's theory of social evolution acknowledges the same phenomenon but reaches different normative conclusions. While for Polanyi the marketization of society is a utopia with dystopian consequences, Hayek's evolutionary explanation of this dialectical process asserts that (...)
    Download  
     
    Export citation  
     
    Bookmark  
  7.  17
    Perception as an Intelligent Act.Martinho Moura & Bruno Nobre - 2024 - Psychological Applications and Trends 2024 2024 (Psichology).
    We intend to demonstrate that human perception is better understood when thought from the perspective of Aristotelian-Thomistic Philosophy. After concluding for its existence, Descartes, in the 17th century, concludes that there are ideas that we all possess, such as the idea of “perfection”. This idea cannot result from experience, and it’s God the source of the idea of perfection in us, and the one who guarantees the existence not only of external reality but also of our own correct reasoning. Very (...)
    Download  
     
    Export citation  
     
    Bookmark  
  8. Law and violence or legitimizing politics in Machiavelli.J. L. Ames - 2011 - Trans/Form/Ação 34 (1):21-42.
    One of the Machiavelli's most famous and innovative thesis states that good laws arise from social conflicts, according to the Roman Empire example of the opposition between plebs and nobles. Conflicts are able to bring about order in virtue of the characteristic constrictive force of necessity, which prevents the ambition to prevail. Nonetheless, law does not neutralize the conflict; just give it a regulation. So, law is subjected to history, to the continuous change, which means that it is potentially corruptible. (...)
    Download  
     
    Export citation  
     
    Bookmark  
  9. O Conceito do Trabalho: da antiguidade ao século XVI.Emanuel Isaque Cordeiro da Silva - manuscript
    SOCIOLOGIA DO TRABALHO: O CONCEITO DO TRABALHO DA ANTIGUIDADE AO SÉCULO XVI -/- SOCIOLOGY OF WORK: THE CONCEPT OF WORK OF ANTIQUITY FROM TO THE XVI CENTURY -/- RESUMO -/- Ao longo da história da humanidade, o trabalho figurou-se em distintas posições na sociedade. Na Grécia antiga era um assunto pouco, ou quase nada, discutido entre os cidadãos. Pensadores renomados de tal época, como Platão e Aristóteles, deixaram a discussão do trabalho para um último plano. Após várias transformações sociais entre (...)
    Download  
     
    Export citation  
     
    Bookmark  
  10. Considerações legais e forenses do aborto infeccioso bovino na “Saúde Única”: Revisão (18th edition).Jackson Barros Do Amaral, Vinícius José Moreira Nogueira & Wendell da Luz Silva (eds.) - 2024 - Londrina: Pubvet.
    In Brazil, the social demand for veterinary expertise is growing. However, there is still a shortage of professionals trained in this area to apply specific knowledge to each case. Studies and research into forensic veterinary medicine are necessary for veterinary experts to assist in investigations and legal proceedings. Veterinary medicine has subjects on its curriculum that cover the knowledge needed to apply in the fields of animal health, public health and the environment. The interaction between human and veterinary medicine, as (...)
    Download  
     
    Export citation  
     
    Bookmark  
  11. The Sellarsian Dilemma.R. M. Farley - 2017 - Southwest Philosophy Review 33 (1):115-123.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  12.  22
    Social Evolution as Moral Truth Tracking in Natural Law.Filipe Nobre Faria & André Santos Campos - 2021 - Politics and the Life Sciences 41 (1):76 - 89.
    Morality can be adaptive or maladaptive. From this fact come polarizing disputes on the meta-ethical status of moral adaptation. The realist tracking account of morality claims that it is possible to track objective moral truths and that these truths correspond to moral rules that are adaptive. In contrast, evolutionary anti-realism rejects the existence of moral objectivity and thus asserts that adaptive moral rules cannot represent objective moral truths, since those truths do not exist. This article develops a novel evolutionary view (...)
    Download  
     
    Export citation  
     
    Bookmark  
  13. SERENIDADE EM HEIDEGGER: UM DIÁLOGO ENTRE A TÉCNICA E A ARTE.Jaderson Gonçalves Nobre - 2015 - Dissertation, Uece, Brazil
    Download  
     
    Export citation  
     
    Bookmark  
  14. Classification of Anomalies in Gastrointestinal Tract Using Deep Learning.Ibtesam M. Dheir & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):15-28.
    Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have been proposed (...)
    Download  
     
    Export citation  
     
    Bookmark   26 citations  
  15. VNRs: Is the News Audience Deceived?Matthew Broaddus, Mark D. Harmon & Kristin Farley Mounts - 2011 - Journal of Mass Media Ethics 26 (4):283-296.
    Every day, television news operations have available dozens of video news releases (VNRs), public relations handout videos designed to mimic news formats. Electronic tracking indicates some of these VNRs are used. Critics typically assail VNRs on ethical grounds, that VNRs deceive audience members into thinking they are watching news gathered by reporters, rather than a promotional pitch. Using a snowball technique, the researchers presented survey respondents with authentic-looking local television news stories; 157 respondents evaluated three stories (out of nine). Some (...)
    Download  
     
    Export citation  
     
    Bookmark  
  16. A Proposed Knowledge Based System for Desktop PC Troubleshooting.Ahmed Wahib Dahouk & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (6):1-8.
    Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...)
    Download  
     
    Export citation  
     
    Bookmark   56 citations  
  17. Job Motivation and Its Impact on Job Satisfaction Among Accountants.Arianna Dacanay, Giannah D. V. Gonzales, Carl Xaviery A. Baldonado, Nicolai Renz S. P. Guballa, Hanz S. Marquez, Hazel Anne M. Domingo, Kyle Gian S. Diaz, Denise Iresh S. Catolico, Edward Gabriel Gotis & Jhoselle tus - 2023 - Psychology and Education: A Multidisciplinary Journal 9 (1):412-418.
    Job motivation remains an area of concern among researchers due to the rising issues of poor or lack of motivation among workers. This refers to one’s personal will or drives to perform a task at work. Meanwhile, job satisfaction refers to an employee’s sense of fulfillment with his or her work experience. Therefore, the current study utilized the descriptive- correlational research design to investigate the impact of job motivation on the job satisfaction of accountants. To gather essential data and achieve (...)
    Download  
     
    Export citation  
     
    Bookmark  
  18. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   32 citations  
  19. Tic-Tac-Toe Learning Using Artificial Neural Networks.Mohaned Abu Dalffa, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-19.
    Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of mathematical combination of the sequences that could be played by the system and using both the Gradient Descent Algorithm explicitly and the Elimination theory rules implicitly. And so on the system should be able to produce imunate amalgamations to solve every state within the game course to make better of results (...)
    Download  
     
    Export citation  
     
    Bookmark   26 citations  
  20. ESTABELECIMENTO DE MÉTODO QUALI-QUANTITATIVO DE VALORAÇÃO DA GEODIVERSIDADE COM BASE NO ECOCENTRISMO.Matheus Lisboa Nobre Da Silva - 2022 - Dissertation, Federal University of Rio de Janeiro
    Download  
     
    Export citation  
     
    Bookmark  
  21. Impartiality and infectious disease: Prioritizing individuals versus the collective in antibiotic prescription.Bernadine Dao, Thomas Douglas, Alberto Giubilini, Julian Savulescu, Michael Selgelid & Nadira S. Faber - 2019 - AJOB Empirical Bioethics 10 (1):63-69.
    Antimicrobial resistance (AMR) is a global public health disaster driven largely by antibiotic use in human health care. Doctors considering whether to prescribe antibiotics face an ethical conflict between upholding individual patient health and advancing public health aims. Existing literature mainly examines whether patients awaiting consultations desire or expect to receive antibiotic prescriptions, but does not report views of the wider public regarding conditions under which doctors should prescribe antibiotics. It also does not explore the ethical significance of public views (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  22. Proposed Expert System for Calculating Inheritance in Islam.Alaa N. Akkila & Samy S. Abu Naser - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (9):38-48.
    The truth of every human being is the end his life with death, and this leads to leaving assets and funds for those after him and can lead to hate between the heirs, it has made a point of Islamic law on all aspects of life, including the subject of the inheritance of the deceased. The main problem is how to get the knowledge of the basics of inheritance. This paper reviews work done in the use of expert system software (...)
    Download  
     
    Export citation  
     
    Bookmark   16 citations  
  23. 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  24. An Intelligent Tutoring System for Health Problems Related To Addiction of Video Game Playing.Mohran H. Al-Bayed & Samy S. Abu Naser - 2017 - International Journal of Advanced Scientific Research 2 (1):4-10.
    Lately in the past couple of years, there are an increasing in the normal rate of playing computer games or video games compared to the E-learning content that are introduced for the safety of our children, and the impact of the video game addictiveness that ranges from (Musculoskeletal issues, Vision problems and Obesity). Furthermore, this paper introduce an intelligent tutoring system for both parent and their children for enhancement the experience of gaming and tell us about the health problems and (...)
    Download  
     
    Export citation  
     
    Bookmark   13 citations  
  25. Ontology of language, with applications to demographic data.S. Clint Dowland, Barry Smith, Matthew A. Diller, Jobst Landgrebe & William R. Hogan - 2023 - Applied ontology 18 (3):239-262.
    Here we present what we believe is a novel account of what languages are, along with an axiomatically rich representation of languages and language-related data that is based on this account. We propose an account of languages as aggregates of dispositions distributed across aggregates of persons, and in doing so we address linguistic competences and the processes that realize them. This paves the way for representing additional types of language-related entities. Like demographic data of other sorts, data about languages may (...)
    Download  
     
    Export citation  
     
    Bookmark  
  26. Neural Network-Based Audit Risk Prediction: A Comprehensive Study.Saif al-Din Yusuf Al-Hayik & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):43-51.
    Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  27. Development and Evaluation of an Expert System for Diagnosing Tinnitus Disease.Mohammed M. Almzainy, Shahd J. Albadrasawi, Jehad M. Altayeb, Hassam Eleyan & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (6):46-52.
    Tinnitus is a common condition characterized by the perception of sound in the absence of an external source, with potential negative physical and psychological impacts. Accurate and efficient diagnosis of tinnitus is crucial for appropriate treatment and management. Traditional diagnostic methods have limitations in terms of time, cost, and accuracy. To address these challenges, expert systems have emerged as a promising tool for tinnitus diagnosis. This paper explores the application of expert systems in tinnitus diagnosis, highlighting their potential to improve (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  28. Finding Our Way through Phenotypes.Andrew R. Deans, Suzanna E. Lewis, Eva Huala, Salvatore S. Anzaldo, Michael Ashburner, James P. Balhoff, David C. Blackburn, Judith A. Blake, J. Gordon Burleigh, Bruno Chanet, Laurel D. Cooper, Mélanie Courtot, Sándor Csösz, Hong Cui, Barry Smith & Others - 2015 - PLoS Biol 13 (1):e1002033.
    Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across many key fields in biology, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. Here we survey the current phenomics landscape, including data resources and handling, and the progress that (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  29. A Fitting Definition of Epistemic Emotions.Michael Deigan & Juan S. Piñeros Glasscock - 2024 - Philosophical Quarterly 74 (3):777-798.
    Philosophers and psychologists sometimes categorize emotions like surprise and curiosity as specifically epistemic. Is there some reasonably unified and interesting class of emotions here? If so, what unifies it? This paper proposes and defends an evaluative account of epistemic emotions: What it is to be an epistemic emotion is to have fittingness conditions that distinctively involve some epistemic evaluation. We argue that this view has significant advantages over alternative proposals and is a promising way to identify a limited and interesting (...)
    Download  
     
    Export citation  
     
    Bookmark  
  30. The reality of modern methods applied in process of performance assessments of employees in the municipalities in Gaza Strip.Mazen J. Al Shobaki & Samy S. Abu Naser - 2016 - International Journal of Advanced Scientific Research 1 (7):14-23.
    The research aims to identify the reality of modern methods applied in the process of performance assessments of employees in the municipalities of Gaza-strip, Complete Census method of community study was used, (571) questionnaires were distributed to all members of the community study, (524) questionnaires were recovery with rate of (91.76%). The most important findings of the study: There were statistically significant relationship differences between the applications of modern methods in the performance assessments of employees in the municipalities of Gaza-strip. (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  31.  84
    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  
  32.  81
    Classification of Apple Diseases Using Deep Learning.Ola I. A. Lafi & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):1-9.
    Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle which (...)
    Download  
     
    Export citation  
     
    Bookmark  
  33.  55
    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  
  34. Knowledge Management Processes and Their Role in Enhancing the Strategic Decision-Making Process - An Applied Study at Al-Azhar University - Gaza.Riyad Awad Diab, Adnan Atiah Alajrami, Yousef Shafeeq Abusultan, Yousif H. Ashour & Samy S. Abu-Naser - 2023 - International Journal of Academic Management Science Research (IJAMSR) 7 (6):1-32.
    This study aimed to highlight the nature of the relationship between knowledge management and the strategic decision-making process, considering that strategic decisions are formulated and made based on a specific knowledge perspective. The study targeted the university management, deans of faculties, and college directors at Al-Azhar University - Gaza. The study followed a descriptive-analytical approach, and data was collected through a questionnaire designed to cover six dimensions related to knowledge management processes and an axis related to strategic decision-making. The data (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  35.  85
    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  
  36.  70
    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  
  37. Machine Learning-Based Diabetes Prediction: Feature Analysis and Model Assessment.Fares Wael Al-Gharabawi & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):10-17.
    This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed to enhance (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  38.  56
    Grape Leaf Species Classification Using CNN.Mohammed M. Almassri & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (4):66-72.
    Abstract: Context: grapevine leaves are an important agricultural product that is used in many Middle Eastern dishes. The species from which the grapevine leaf originates can differ in terms of both taste and price. Method: In this study, we build a deep learning model to tackle the problem of grape leaf classification. 500 images were used (100 for each species) that were then increased to 10,000 using data augmentation methods. Convolutional Neural Network (CNN) algorithms were applied to build this model (...)
    Download  
     
    Export citation  
     
    Bookmark  
  39. Predicting the Number of Calories in a Dish Using Just Neural Network.Sulafa Yhaya Abu Qamar, Shahed Nahed Alajjouri, Shurooq Hesham Abu Okal & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):1-9.
    Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  40. Moral/conventional transgression distinction and psychopathy in conduct disordered adolescent offenders.Mairead C. Dolan & Rachael S. Fullam - 2010 - Personality and Individual Differences 49:995–1000.
    To date there are no studies examining the ability to make a moral/conventional transgression distinction in adolescent offenders with psychopathic traits. Based on the Psychopathy Checklist: Youth Version, we compared males with high (HP, n = 45), medium (MP, n = 31) and low psychopathy scores (LP, n = 39) on the moral convention distinction task. Under normal rule conditions the psychopathy groups did not differ in their ability to make a moral/conventional distinction. The HP group tended to view both (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  41. Leadership Features and Their Relationship to Increasing Achievement Motivation among Palestinian Police Employees in Gaza Strip In Light Of the Corona Pandemic.Yaser A. Al Shorafa, , Muhammad K. Hamdan, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Management Science Research (IJAMSR) 5 (4):7-21.
    The study aimed to identify the leadership features and their relationship to increasing achievement motivation among Palestinian police employees in Gaza Strip in light of the Corona pandemic. To achieve the study’s objectives, the researchers used the descriptive method in its analytical method, using a questionnaire applied to the police officers at the Central Governorate Police Station, whose number is (113) individuals. They were chosen in a stratified, random manner, and the study resulted in a set of results, the most (...)
    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. Method of informational risk range evaluation in decision making.Zinchenko A. O., Korolyuk N. O., Korshets E. A. & Nevhad S. S. - 2020 - Artificial Intelligence Scientific Journal 25 (3):38-44.
    Looks into evaluation of information provision probability from different sources, based on use of linguistic variables. Formation of functions appurtenant for its unclear variables provides for adoption of decisions by the decision maker, in conditions of nonprobabilistic equivocation. The development of market relations in Ukraine increases the independence and responsibility of enterprises in justifying and making management decisions that ensure their effective, competitive activities. As a result of the analysis, it is determined that the condition of economic facilities can be (...)
    Download  
     
    Export citation  
     
    Bookmark  
  44. Nietzsche’s Thirst For India.S. M. Amadae - 2004 - Idealistic Studies 34 (3):239-262.
    This essay represents a novel contribution to Nietzschean studies by combining an assessment of Friedrich Nietzsche’s challenging uses of “truth” and the “eternal return” with his insights drawn from Indian philosophies. Specifically, drawing on Martin Heidegger’s Nietzsche, I argue that Nietzsche’s critique of a static philosophy of being underpinning conceptual truth is best understood in line with the Theravada Buddhist critique of “self ” and “ego” as transitory. In conclusion, I find that Nietzsche’s “eternal return” can be understood as a (...)
    Download  
     
    Export citation  
     
    Bookmark  
  45.  59
    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  
  46. Forecasting Stock Prices using Artificial Neural Network.Ahmed Munther Abdel Hadi & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):42-50.
    Abstract: Accurate stock price prediction is essential for informed investment decisions and financial planning. In this research, we introduce an innovative approach to forecast stock prices using an Artificial Neural Network (ANN). Our dataset, consisting of 5582 samples and 6 features, including historical price data and technical indicators, was sourced from Yahoo Finance. The proposed ANN model, composed of four layers (1 input, 1 hidden, 1 output), underwent rigorous training and validation, yielding remarkable results with an accuracy of 99.84% and (...)
    Download  
     
    Export citation  
     
    Bookmark  
  47. Analyzing the Relationship between Smoking and Drinking Patterns Using Neural Networks: A Comprehensive Feature-Based Approach.Ahmed Samir Abu Al-Hussein, Mona Ayman Abu Aisha, Iman Nahed Saeed Ahleel & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):18-25.
    This study employs a neural network to analyze the connection between smoking, drinking, and various health-related factors using a dataset of 5148 samples. Achieving an impressive 99.94% accuracy and an average training error of 0.0016, the model identifies influential factors such as serum aminotransferases, serum creatinine, sex, weight, and triglyceride levels. These findings enhance our understanding of lifestyle choices and their impact on health. This research underscores the potential of machine learning in studying complex health phenomena.
    Download  
     
    Export citation  
     
    Bookmark  
  48. REVISITING THE HUMAN RESOURCE AND MANAGEMENT PROGRAM OF THE EARLY YEARS LEARNING CENTER IN MANDALUYONG CITY.Fe Jocelyn G. Dioquino, Albert S. Billones, Ana Katrina S. Caldeira, Melanie Carl T. Espe & Alfredo G. Sy Jr - 2023 - Get International Research Journal 1 (2).
    This study sought to investigate the Human Resource and Management (HRM) Program of a preschool hereinafter referred to as the Early Years Learning Center (EYLC) in Mandaluyong City for purposes of this research study. This is a qualitative case study that delved particularly into the issue of employee retention, especially of seasoned teachers and staff of the subject learning center. It used the interview method to generate an in-depth analysis as it revisited its HRM Program. To triangulate the data gathered, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  49. Prisoner's Dilemma.S. M. Amadae - 2015 - In Prisoners of Reason: Game Theory and Neoliberal Political Economy. New York: Cambridge University Press. pp. 24-61.
    As these opening quotes acknowledge, the Prisoner’s Dilemma (PD) represents a core puzzle within the formal mathematics of game theory.3 Its rise in conspicuity is evident figure 2.1 above demonstrating a relatively steady rise in incidences of the phrase’s usage between 1960 to 1995, with a stable presence persisting into the twenty first century. This famous two-person “game,” with a stock narrative cast in terms of two prisoners who each independently must choose whether to remain silent or speak, each advancing (...)
    Download  
     
    Export citation  
     
    Bookmark  
  50. Why the FIFA Men's World Cup in Qatar Should not be Boycotted by Rich Countries from the Global North.Jørn Sønderholm - 2023 - Public Affairs Quarterly 37 (1):20-46.
    This article defends the conclusion that the soccer World Cup in Qatar should not be boycotted by rich countries from the Global North. This conclusion is underpinned by considerations about the economic background conditions in guest workers’ home countries. Three arguments are considered for the view that the World Cup should be boycotted. It is argued that each of these arguments is unsound. Section 7 contains a discussion of an argument for a boycott that centers on the process through which (...)
    Download  
     
    Export citation  
     
    Bookmark  
1 — 50 / 1000