Results for 'Bayes Factor'

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  1. Comparative Analysis of Deep Learning and Naïve Bayes for Language Processing Task.Olalere Abiodun - forthcoming - International Journal of Research and Innovation in Applied Sciences.
    Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least (...)
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  2. Why do we need to employ Bayesian statistics and how can we employ it in studies of moral education?: With practical guidelines to use JASP for educators and researchers.Hyemin Han - 2018 - Journal of Moral Education 47 (4):519-537.
    ABSTRACTIn this article, we discuss the benefits of Bayesian statistics and how to utilize them in studies of moral education. To demonstrate concrete examples of the applications of Bayesian statistics to studies of moral education, we reanalyzed two data sets previously collected: one small data set collected from a moral educational intervention experiment, and one big data set from a large-scale Defining Issues Test-2 survey. The results suggest that Bayesian analysis of data sets collected from moral educational studies can provide (...)
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  3. Implementation and Comparison of Deep Learning with Naïve Bayes for Language Processing (4th edition).Abiodun Olalere - 2024 - Internation Journal of Research and Innovation in Appliad Science:1-6.
    Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes with least (...)
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  4. Constructive Verification, Empirical Induction, and Falibilist Deduction: A Threefold Contrast.Julio Michael Stern - 2011 - Information 2 (4):635-650.
    This article explores some open questions related to the problem of verification of theories in the context of empirical sciences by contrasting three epistemological frameworks. Each of these epistemological frameworks is based on a corresponding central metaphor, namely: (a) Neo-empiricism and the gambling metaphor; (b) Popperian falsificationism and the scientific tribunal metaphor; (c) Cognitive constructivism and the object as eigen-solution metaphor. Each of one of these epistemological frameworks has also historically co-evolved with a certain statistical theory and method for testing (...)
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  5. Evidence and Credibility: Full Bayesian Significance Test for Precise Hypotheses.Julio Michael Stern & Carlos Alberto de Braganca Pereira - 1999 - Entropy 1 (1):69-80.
    A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayesian alternative to significance tests or, equivalently, to p-values. In fact, a set is defined in the parameter space and the posterior probability, its credibility, is evaluated. This set is the “Highest Posterior Density Region” that is “tangent” to the set that defines the null hypothesis. Our measure of evidence is the complement of the credibility of the “tangent” region.
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  6. Performance Comparison and Implementation of Bayesian Variants for Network Intrusion Detection.Tosin Ige & Christopher Kiekintveld - 2023 - Proceedings of the IEEE 1:5.
    Bayesian classifiers perform well when each of the features is completely independent of the other which is not always valid in real world applications. The aim of this study is to implement and compare the performances of each variant of the Bayesian classifier (Multinomial, Bernoulli, and Gaussian) on anomaly detection in network intrusion, and to investigate whether there is any association between each variant’s assumption and their performance. Our investigation showed that each variant of the Bayesian algorithm blindly follows its (...)
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  7. A comprehensive theory of induction and abstraction, part I.Cael L. Hasse -
    I present a solution to the epistemological or characterisation problem of induction. In part I, Bayesian Confirmation Theory (BCT) is discussed as a good contender for such a solution but with a fundamental explanatory gap (along with other well discussed problems); useful assigned probabilities like priors require substantive degrees of belief about the world. I assert that one does not have such substantive information about the world. Consequently, an explanation is needed for how one can be licensed to act as (...)
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  8. 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 (...)
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  9. Intelligent Plagiarism Detection for Electronic Documents.Mohran H. J. Al-Bayed - 2017 - Dissertation, Al-Azhar University, Gaza
    Plagiarism detection is the process of finding similarities on electronic based documents. Recently, this process is highly required because of the large number of available documents on the internet and the ability to copy and paste the text of relevant documents with simply Control+C and Control+V commands. The proposed solution is to investigate and develop an easy, fast, and multi-language support plagiarism detector with the easy of one click to detect the document plagiarism. This process will be done with the (...)
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  10. Google and Facebook Vs Rawls and Lao-Tzu: How Silicon Valley’s Utilitarianism and Confucianism Are Bad for Internet Ethics.Morten Bay - 2020 - AoIR 2020: The 21th Annual Conference of the Association of Internet Researchers.
    The proposed paper presents an argument in favor of a Rawlsian approach to ethics for Internet technology companies (den Hoven & Rooksby, 2008; Hoffman, 2017). Ethics statements from such companies are analyzed and shown to be utilitarian and teleological in nature, and therefore in opposition to Rawls’ theories of justice and fairness. The statements are also shown to have traits in common with Confucian virtue ethics (Ames, 2011; Nylan, 2008).
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  11. ITS for health problems related to addiction of video game playing.Mohran Bayed - 2017 - International Journal of Advanced Scientific Research 1 (2):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 (...)
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  12. Detecting Health Problems Related to Addiction of Video Game Playing Using an Expert System.Samy S. Abu Naser & Mohran H. Al-Bayed - 2016 - World Wide Journal of Multidisciplinary Research and Development 2 (9):7-12.
    Today’s everyone normal life can include a normal rate of playing computer games or video games; but what about an excessive or compulsive use of video games that impact on our life? Our kids, who usually spend a lot of time in playing video games will likely have a trouble in paying attention to their school lessons. In this paper, we introduce an expert system to help users in getting the correct diagnosis of the health problem of video game addictions (...)
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  13. The Disappearance of Tradition in Weber.Stephen P. Turner & Regis A. Factor - 1990 - Midwest Studies in Philosophy 15 (1):400-424.
    In this essay we will consider another basic topic: the problem of the nature of the distinctions between Sitte, Brauch, Wert, Mode, and Recht, on which Weber's discussion relies. These discussions typically involved the untranslatable concept of Sitte, which marks a contrast between practices or customs with normative force and “mere practice.” There is a close parallel to this distinction in American social thought in W. G. Sumner's latinate distinction between the mores and folkways of a society. In what follows (...)
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  14. Bayes's theorem. [REVIEW]Massimo Pigliucci - 2005 - Quarterly Review of Biology 80 (1):93-95.
    About a British Academy collection of papers on Bayes' famous theorem.
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  15. Bảy dấu hiệu cảnh báo cần lưu ý để ổn định nền tài chính quốc gia.Phạm Minh Chính & Vương Quân Hoàng - 2008 - Tạp Chí Cộng Sản 2008:1-13.
    Nếu nền kinh tế quốc gia là một cơ thể sống, thì hệ thống tài chính là cơ chế tạo, cung cấp và lưu thông máu tới từng tế bào, bộ phận. Thiếu hay thừa đều phát sinh các vấn đề cần giải quyết. Với quá trình chuyển đổi kinh tế và hội nhập quốc tế mạnh mẽ, liên tục giám sát, kịp thời dự đoán sát thực các dấu hiệu và biến động của thị trường để từ đó xây (...)
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  16. Nature, Science, Bayes 'Theorem, and the Whole of Reality‖.Moorad Alexanian - manuscript
    A fundamental problem in science is how to make logical inferences from scientific data. Mere data does not suffice since additional information is necessary to select a domain of models or hypotheses and thus determine the likelihood of each model or hypothesis. Thomas Bayes’ Theorem relates the data and prior information to posterior probabilities associated with differing models or hypotheses and thus is useful in identifying the roles played by the known data and the assumed prior information when making (...)
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  17. Ứng dụng Bayes trong nghiên cứu KHXH (Buổi 1).Nguyễn Minh Hoàng - 2023 - 2023 Viasm-Hanu Lecture.
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  18. Bayes, predictive processing, and the cognitive architecture of motor control.Daniel C. Burnston - 2021 - Consciousness and Cognition 96 (C):103218.
    Despite their popularity, relatively scant attention has been paid to the upshot of Bayesian and predictive processing models of cognition for views of overall cognitive architecture. Many of these models are hierarchical ; they posit generative models at multiple distinct "levels," whose job is to predict the consequences of sensory input at lower levels. I articulate one possible position that could be implied by these models, namely, that there is a continuous hierarchy of perception, cognition, and action control comprising levels (...)
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  19. Parental Factors Related to Students’ Self-Concept and Academic Performance amid COVID-19 and Distance Learning.Nelda B. Caasi & Jupeth Pentang - 2022 - Universal Journal of Educational Research 1 (4):202-209.
    Parental factors impact students’ self-concept and academic performance during the pandemic. Thus, this study determined the students’ self-concept and academic performance and the parental factors related to it. The research design was descriptive-correlational, and 500 nonrandom college students in West Philippines participated in the study. Researcher-made instruments were used, which were subjected to reliability and validity evaluation. Data were collected online from June 2021 to July 2022 and were analyzed using descriptive (frequency counts and percentage) and inferential statistics (Spearman correlation). (...)
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  20. Exploring factors contributing to creativity performance among entrepreneurs using the Bayesian Mindsponge Framework.Quan-Hoang Vuong, Tam-Tri Le, Tao Zhang, Viet-Phuong La, Quang-Loc Nguyen, Giang Hoang & Minh-Hoang Nguyen - manuscript
    Creativity is a crucial aspect of entrepreneurship. However, research on the information processing mechanism of creativity in relation to entrepreneurship is still very limited. To explore factors contributing to creativity performance among entrepreneurs in terms of information processing, we applied the Bayesian Mindsponge Framework. We used the Serendipity-Mindsponge-3D (SM3D) knowledge management theory to construct models and conducted Bayesian analysis on the most comprehensive and well-designed dataset of 3071 Vietnamese entrepreneurs up to date. We found that entrepreneurs who give more time (...)
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  21. Assessing theories, Bayes style.Franz Huber - 2008 - Synthese 161 (1):89-118.
    The problem addressed in this paper is “the main epistemic problem concerning science”, viz. “the explication of how we compare and evaluate theories [...] in the light of the available evidence” (van Fraassen, BC, 1983, Theory comparison and relevant Evidence. In J. Earman (Ed.), Testing scientific theories (pp. 27–42). Minneapolis: University of Minnesota Press). Sections 1– 3 contain the general plausibility-informativeness theory of theory assessment. In a nutshell, the message is (1) that there are two values a theory should exhibit: (...)
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  22. FACTORS INFLUENCING STUDENTS' DECISION IN CHOOSING UNIVERSITIES: BUILD BRIGHT UNIVERSITY STUDENTS.Narith Por - 2024 - As Salam 1:1-15.
    This research assesses the factors influencing students' decision-making when choosing a university. The study proposes eight factors, such as parental or guardian influence, high school teacher recommendations, graduate quality, colleague recommendations, location, school fees, learning environment, and university reputation, on students' university choices. A quantitative approach was employed, utilizing both secondary and primary data. A total of 330 students were sampled for this study. The data were analyzed using SPSS, employing descriptive statistics for data summarization and inferential statistics for analysis. (...)
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  23. Revisiting Maher’s one-factor theory of delusion.Chenwei Nie - 2023 - Neuroethics 16 (2):1-16.
    How many factors, i.e. departures from normality, are necessary to explain a delusion? Maher’s classic one-factor theory argues that the only factor is the patient’s anomalous experience, and a delusion arises as a normal explanation of this experience. The more recent two-factor theory, on the other hand, contends that a second factor is also needed, with reasoning abnormality being a potential candidate, and a delusion arises as an abnormal explanation of the anomalous experience. In the past (...)
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  24. Factors Affecting MAPEH Students’ Performance in Integrated Art Education.Louie Gula, Joan M. E. Bonganciso, Ma Cristina C. Senoran, Shiella M. B. Gorge & Kevin R. Sumayang - 2022 - Journal of Teacher Education and Research 17 (1):1-6.
    This study aims to find out the factors that hinder students in learning Integrated Art Education. A descriptive research design was utilized in the conduct of the study. The researcher prepared a questionnaire with 15 closed-ended- questions that could be answered objectively. The study discovered that the students would learn more when they feel that they belong to a certain group. Interests in a subject also matter, the more you are interested in a particular subject, the more you will learn (...)
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  25. Application of Naive Bayes Model, SVM and Deep Learning Predicting.Martono Aris, Padeli Padeli & Sudaryono Sudaryono - 2023 - Cices (Cyberpreneurship Innovative and Creative Exact and Social Science) 9 (1):93-101.
    The college hopes that every semester students are able to pay tuition properly and smoothly. The hope is that the institution will be able to maintain monthly cash flow so that its operational and maintenance costs can be met. Therefore, this study was conducted to predict and fulfill the institution's cash-in from the method of paying tuition fees either by cash, installments, or sometimes late payments every semester. In predicting the method of paying tuition fees, using student profile data (name, (...)
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  26. Factors Associated with Mathematics Performance.Grace Abalde & Richard Oco - 2023 - Asian Research Journal of Mathematics 19 (6):45-60.
    Aims: The purpose of this study is to identify the factors associated with the academic performance of Grade 10 students during their First Quarter of school as well as the significant correlation between the factors and student academic performance in Mathematics. -/- Study Design: Descriptive Correlation Design. -/- Place and Duration of Study: The study was conducted at Agusan National High School in Cagayan de Or City's East 1 District during the school year: 2022 – 2023. -/- Methodology: The respondents (...)
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  27. Global factors which influence the directions of social development.Sergii Sardak & O. Bilskaya S. Sardak, M. Korneyev, A. Simakhova - 2017 - Problems and Perspectives in Management 15 (3):323 – 333.
    This study identifies global factors conditioning the global problematics of the direction of social development. Global threats were evaluated and defined as dangerous processes, phenomena, and situations that cause harm to health, safety, well-being, and the lives of all humanity, and require removal. The essence of global risks was defined. These risks were defined as events or conditions that may cause a significant negative effect for several countries or spheres within a strategic period if they occur. Global problems were conceptualized. (...)
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  28. AI Powered Anti-Cyber bullying system using Machine Learning Algorithm of Multinomial Naïve Bayes and Optimized Linear Support Vector Machine.Tosin Ige & Sikiru Adewale - 2022 - International Journal of Advanced Computer Science and Applications 13 (5):1 - 5.
    Unless and until our society recognizes cyber bullying for what it is, the suffering of thousands of silent victims will continue.” ~ Anna Maria Chavez. There had been series of research on cyber bullying which are unable to provide reliable solution to cyber bullying. In this research work, we were able to provide a permanent solution to this by developing a model capable of detecting and intercepting bullying incoming and outgoing messages with 92% accuracy. We also developed a chatbot automation (...)
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  29.  79
    Sociocultural factors affecting first-year medical students’ adjustment to a PBL program at an African medical school.Masego Kebaetse, Dominic Griffiths, Gaonyadiwe Mokone, Mpho Mogodi, Brigid Conteh, Oathokwa Nkomazana, John Wright, Rosemary Falama & Kebaetse Maikutlo - 2024 - BMC Medical Education 24 (277):1-12.
    Background: Besides regulatory learning skills, learning also requires students to relate to their social context and negotiate it as they transition and adjust to medical training. As such, there is a need to consider and explore the role of social and cultural aspects in student learning, particularly in problem-based learning, where the learning paradigm differs from what most students have previously experienced. In this article, we report on the findings of a study exploring first-year medical students’ experiences during the first (...)
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  30. Factorization of Sparse Bayesian Networks.Julio Michael Stern & Ernesto Coutinho Colla - 2009 - Studies in Computational Intelligence 199:275-285.
    This paper shows how an efficient and parallel algorithm for inference in Bayesian Networks (BNs) can be built and implemented combining sparse matrix factorization methods with variable elimination algorithms for BNs. This entails a complete separation between a first symbolic phase, and a second numerical phase.
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  31. Belief revision generalized: A joint characterization of Bayes's and Jeffrey's rules.Franz Dietrich, Christian List & Richard Bradley - 2016 - Journal of Economic Theory 162:352-371.
    We present a general framework for representing belief-revision rules and use it to characterize Bayes's rule as a classical example and Jeffrey's rule as a non-classical one. In Jeffrey's rule, the input to a belief revision is not simply the information that some event has occurred, as in Bayes's rule, but a new assignment of probabilities to some events. Despite their differences, Bayes's and Jeffrey's rules can be characterized in terms of the same axioms: "responsiveness", which requires (...)
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  32. Factor Structure of the Psychopathic Personality Inventory (PPI): Findings From a Large Incarcerated Sample.Craig S. Neumann, Melanie B. Malterer & Joseph Newman - 2008 - Psychological Assessment 20 (2):169–174.
    Exploratory factor analysis (EFA) of the Psychopathic Personality Inventory (PPI; S. O. Lilienfeld, 1990; S. O. Lilienfeld & B. P. Andrews, 1996) with a community sample has suggested that the PPI subscales may comprise 2 higher order factors (S. D. Benning, C. J. Patrick, B. M. Hicks, D. M. Blonigen, & R. F. Krueger, 2003). However, substantive and structural evidence raises concerns about the viability of this 2-factor model, particularly in offender populations. The authors attempted to replicate the (...)
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  33. Factors influencing the implementation of knowledge management in the South African government.Lance Barbier - 2022 - International Journal of Research in Business and Social Science 11 (7):47-61.
    Although Knowledge Management was introduced as a Key Performance Indicator (KPI) for all senior management in South Africa 15 years ago, its implementation has been slow and inconsistent. This paper aimed to identify the factors that contribute to or deter the implementation of Knowledge Management in the South African government. The issue was explored through a review of literature on Knowledge Management, as well as results of an interview and questionnaire completed by government officials doing Knowledge Management practitioner work in (...)
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  34. Report on "Bayes By the Sea".William Peden - 2019 - The Reasoner 13 (10):3-4.
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  35. Factors Influencing College Students' Perception on Participating in Swimming Activities.Louie Gula, Marlon P. Ribon, Allyana Athens Alejandrino & Mario Acero Galeon Jr - 2022 - Partners Universal International Research Journal 1 (2):103-111.
    The purpose of this research is to determine the variables influencing college students' engagement in swimming activities, as well as the significant themes that often appear in these occurrences. A descriptive research design was used to identify the factors influencing college students' perception of participating in swimming activities. Descriptive research is a type of nonexperimental study that aims to describe the features of phenomena as it occurs. It was found out that participating in swimming activities provides various benefits, some of (...)
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  36. Factors Predicting Febrile Urinary Tract Infection After Ureterorenoscopic Lithotripsy in Pediatric Patients.İsmail Evren & Emre Sam - 2023 - European Journal of Therapeutics 29 (1):88-93.
    Introduction: There is no study investigating the factors predicting postoperative febrile urinary tract infection (fUTI) in pediatric patients. We aimed to determine the factors predicting postoperative fUTI in pediatric patients who underwent ureterorenoscopic lithotripsy (URS-L). -/- Methods: Pediatric patients who underwent URS-L due to ureter or kidney stones in our clinic between 2012 and 2019 were analyzed retrospectively. The demographic data, stone characteristics, intraoperative and postoperative data of those with and without postoperative fUTI were compared. Univariable and multivariable binary logistic (...)
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  37. El factor valorativo en el conocimiento científico.José Ramón Fabelo Corzo - 1986 - Revista Cubana de Ciencias Sociales 4 (11):108-125.
    En el trabajo se exponen algunas ideas generales acerca de la interrelación entre valoración y conocimiento, así como el análisis de determinadas formas concretas en que se realiza la acción del factor valorativo sobre la ciencia y su desarrollo. Se fundamenta la tesis de que todo conocimiento, cualquiera que sea la forma en que este se presente, posee un contenido valorativo, cuya dosis depende del carácter de la relación que guarda su objeto con los intereses, necesidades y fines del (...)
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  38. The Influence of Situational Factors in Sacrificial Dilemmas on Utilitarian Moral Judgments.Michael Klenk - 2022 - Review of Philosophy and Psychology 13 (3):593-625.
    The standard way to test alternative descriptive theories of moral judgment is by asking subjects to evaluate (amongst others) sacrificial dilemmas, where acting classifies as a utilitarian moral judgment and not acting classifies as a deontological moral judgment. Previous research uncovered many situational factors that alter subject’s moral judgments without affecting which type of action utilitarianism or deontology would recommend. This literature review provides a systematic analysis of the experimental literature on the influence of situational factors on moral judgments in (...)
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  39. Factors affecting the instructional effectiveness and performance of teacher in classroom: A case study (11th edition).Abdul Rahim Chandio - 2023 - International Journal of Academic Management Science Research (Ijamsr) Issn: 2643-900X 11 (6):18-26.
    Abstract- Performance is the primary function of human resource management and it becomes life line of an organizational success. The performance gap is extremely highly detrimental towards an organizational success. Prevailing study is concerned with the affecting factors of teachers’ performance in which administrative bureaucratization, unequal provision of opportunities, social status and incentives gap loss the vitality and tempo of performance in classroom atmosphere. Emergence of complexities in teachers’ life allow to a complex instructional approach that gives birth to a (...)
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  40. Factors Contributing to Students’ Academic Performance in Biology State Examination at Upper Secondary Schools in Gitega Commune, Gitega Province In Burundi.Ndayihimbaze Jean Bosco, Philothère Ntawiha & Arakaza Alexis - 2023 - Universal Journal of Educational Research 2 (3).
    The students’ academic performance is the key element for both learners and teachers in examining the educational objectives for all subjects. This work is entitled “Factors contributing to Students' Academic Performance in Biology State Examination at Upper Secondary Schools in Gitega commune, Burundi” explores the factors that influence the students’ academic performance in biology national examination, particularly in Gitega commune. All school directors, laboratory, and library staff, and six senior students who did biology national examination over five school years from (...)
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  41. Factors Affecting Of Disputes Resolution in Workplace: UNRWA at Gaza as a Case Study.Abdallah I. Qandil, 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 (2):154-180.
    UNRWA’s Mediation Process is a key element in the organization’s efforts to strengthen its internal justice system. The research aims to study the reality of mediator competencies, emotional intelligence and case characteristics variables, (UNRWA) Gaza. The research also aims at identifying the differences between respondents as attributed to their professional and personal traits of age, gender, educational level, distribution of department, dispute resolution experience and representation party. The researchers adopted mixed data collection methods; quantitative and qualitative. For qualitative, a semi-structured (...)
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  42. Do Bayesian Models of Cognition Show That We Are (Bayes) Rational?Arnon Levy - forthcoming - Philosophy of Science:1-13.
    According to [Bayesian] models” in cognitive neuroscience, says a recent textbook, “the human mind behaves like a capable data scientist”. Do they? That is to say, do such model show we are rational? I argue that Bayesian models of cognition, perhaps surprisingly, do not and indeed cannot, show that we are Bayesian-rational. The key reason is that such models appeal to approximations, a fact that carries significant implications. After outlining the argument, I critique two responses, seen in recent cognitive neuroscience. (...)
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  43. FACTORS INFLUENCING THE PERCEPTION ON JOB SATISFACTION AMONG POLICE OFFICERS: BASIS FOR AN IMPROVED PERSONNEL MANAGEMENT.Julius B. Mellijor - 2023 - Get International Research Journal 1 (2):1-13.
    Police officers' work-life conflict is linked to more subjective health complaints, suicidal thoughts, burnout, and stress in addition to higher degrees of job discontent. Further research findings highlight the significant relationship between stress and work-life balance or work-family conflict affecting police officers regardless of their gender, despite the fact that significant gender differences regarding psychosocial stress were found in general, but especially among police officers who were married and/or had children. Similarly, despite conflicting findings, several research show that gender neither (...)
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  44. Factoring Out the Impossibility of Logical Aggregation.Philippe Mongin - 2008 - Journal of Economic Theory 141:p. 100-113.
    According to a theorem recently proved in the theory of logical aggregation, any nonconstant social judgment function that satisfies independence of irrelevant alternatives (IIA) is dictatorial. We show that the strong and not very plausible IIA condition can be replaced with a minimal independence assumption plus a Pareto-like condition. This new version of the impossibility theorem likens it to Arrow’s and arguably enhances its paradoxical value.
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  45. Group Epistemology and Structural Factors in Online Group Polarization.Kenneth Boyd - 2023 - Episteme 20 (1):57-72.
    There have been many discussions recently from philosophers, cognitive scientists, and psychologists about group polarization, with online and social media environments in particular receiving a lot of attention, both because of people's increasing reliance on such environments for receiving and exchanging information and because such environments often allow individuals to selectively interact with those who are like-minded. My goal here is to argue that the group epistemologist can facilitate understanding the kinds of factors that drive group polarization in a way (...)
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  46. The Factors Influencing Corporate Social Responsibility Disclosure in the Kingdom of Saudi Arabia.Ayman Issa - 2017 - Australian Journal of Basic and Applied Sciences 11 (10):1-19.
    BACKGROUND: In today’s world of increased awareness regarding the concepts of corporate social responsibility (CSR) and corporate governance (CG), many firms in the developed countries consider noncompliance with CSR and CG standards as an important source of risk to their reputations with stakeholders. OBJECTIVE: The aim of this study is to investigate the relationship between the corporate social responsibility disclosure (CSRD) index and corporate factors, namely, board size, board independence, board meetings, CEO duality, a firm’s size, leverage, profitability and age. (...)
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  47. Risk Factors for Postoperative Pneumonia: A Case-Control Study.Bingbing Xiang, Shulan Jiao, Yongyu Si, Yuting Yao, Feng Yuan & Rui Chen - 2022 - Frontiers in Public Health 10:913897.
    Background: Postoperative pneumonia is a preventable complication associated with adverse outcomes, that greatly aggravates the medical expenses of patients. The goal of our study is to identify risk factors and outcomes of postoperative pneumonia.
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  48. Socioeconomic factors and the evaluation of HIV/AIDS prevention programs: A psychometric analysis of an instrument.Valentine Joseph Owan, Levi Udochukwu Akah, Agnes James Ekpo, Isaac Ofem Ubi, Felicia Achi Abeng & Gloria Tochukwu Akah - 2022 - Electronic Journal of General Medicine 19 (6):Article em405.
    Introduction: Research has documented the prevalence of different HIV/AIDS prevention programs launched to reduce the spread of the virus. However, the extent to which the success or otherwise of these programs are achieved is rarely discussed. This study addresses this gap by analyzing the impact of three socioeconomic parameters on the evaluation of HIV/AIDS prevention programs in the Southern Senatorial District of Cross River State, Nigeria. Methods: A sample of 239 health care employees selected using the proportional stratified random sampling (...)
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  49. AI Powered Anti-Cyber bullying system using Machine Learning Algorithm of Multinomial Naïve Bayes and Optimized Linear Support Vector Machine.Tosin Ige - 2022 - International Journal of Advanced Computer Science and Applications 13 (5):1 - 5.
    Unless and until our society recognizes cyber bullying for what it is, the suffering of thousands of silent victims will continue.” ~ Anna Maria Chavez. There had been series of research on cyber bullying which are unable to provide reliable solution to cyber bullying. In this research work, we were able to provide a permanent solution to this by developing a model capable of detecting and intercepting bullying incoming and outgoing messages with 92% accuracy. We also developed a chatbot automation (...)
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  50. KM Factors Affecting High Performance in Intermediate Colleges and its Impact on High Performance - Comparative Study.S. `Abu-Naser, Mazen J. Al Shobaki & Youssef M. Abu Amuna - 2016 - Computational Research Progress in Applied Science and Engineering 2 (4):158-167.
    This paper aims to determine knowledge management (KM) factors which have strong impact on high performance. Also, the study aims to compare KMM between intermediate colleges. This study was applied on three intermediate colleges in Gaza strip, Palestine. Asian productivity organization model was applied to measure KMM. Second dimension which assess high performance was developed by the authors. The controlled sample was 190. Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation using Cronbach’s alpha, “ANOVA”, (...)
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