Results for 'Teresa M. Murray'

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  1. Introduction: many voices: human values in healthcare ethics.K. W. M. Fulford, D. Dickenson & T. H. Murray - 2002 - In K. W. M. Fulford, Donna Dickenson & Thomas H. Murray, Healthcare Ethics and Human Values: An Introductory Text with Readings and Case Studies. Malden, Mass.: Wiley-Blackwell.
    This edited volume illustrates the central importance of diversity of human values throughout healthcare. The readings are organised around the main stages of the clinical encounter from the patient's perspective. This introductory chapter opens up crucial issues of methodology and of practical application in this highly innovative approach to the role of ethics in healthcare.
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  2. Human Values in Healthcare Ethics Introduction Many Voices: Human Values in Healthcare Ethics.K. W. M. Fulford, D. Dickenson & T. H. Murray - 2002 - Edited by K. W. M. Fulford, Donna Dickenson & Thomas H. Murray.
    This volume of articles, literature and case studies illustrates the central importance of human values throughout healthcare. The readings are structured around the main stages of the clinical encounter from the patient's perspective.
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  3. Societal-Level Versus Individual-Level Predictions of Ethical Behavior: A 48-Society Study of Collectivism and Individualism.David A. Ralston, Carolyn P. Egri, Olivier Furrer, Min-Hsun Kuo, Yongjuan Li, Florian Wangenheim, Marina Dabic, Irina Naoumova, Katsuhiko Shimizu, María Teresa Garza Carranza, Ping Ping Fu, Vojko V. Potocan, Andre Pekerti, Tomasz Lenartowicz, Narasimhan Srinivasan, Tania Casado, Ana Maria Rossi, Erna Szabo, Arif Butt, Ian Palmer, Prem Ramburuth, David M. Brock, Jane Terpstra-Tong, Ilya Grison, Emmanuelle Reynaud, Malika Richards, Philip Hallinger, Francisco B. Castro, Jaime Ruiz-Gutiérrez, Laurie Milton, Mahfooz Ansari, Arunas Starkus, Audra Mockaitis, Tevfik Dalgic, Fidel León-Darder, Hung Vu Thanh, Yong-lin Moon, Mario Molteni, Yongqing Fang, Jose Pla-Barber, Ruth Alas, Isabelle Maignan, Jorge C. Jesuino, Chay-Hoon Lee, Joel D. Nicholson, Ho-Beng Chia, Wade Danis, Ajantha S. Dharmasiri & Mark Weber - 2014 - Journal of Business Ethics 122 (2):283–306.
    Is the societal-level of analysis sufficient today to understand the values of those in the global workforce? Or are individual-level analyses more appropriate for assessing the influence of values on ethical behaviors across country workforces? Using multi-level analyses for a 48-society sample, we test the utility of both the societal-level and individual-level dimensions of collectivism and individualism values for predicting ethical behaviors of business professionals. Our values-based behavioral analysis indicates that values at the individual-level make a more significant contribution to (...)
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  4. Two Non-Counterexamples to Truth-Tracking Theories of Knowledge.Fred Adams & Murray Clarke - 2016 - Logos and Episteme 7 (1):67-73.
    In a recent paper, Tristan Haze offers two examples that, he claims, are counterexamples to Nozick's Theory of Knowledge. Haze claims his examples work against Nozick's theory understood as relativized to belief forming methods M. We believe that they fail to be counterexamples to Nozick's theory. Since he aims the examples at tracking theories generally, we will also explain why they are not counterexamples to Dretske's Conclusive Reasons Theory of Knowledge.
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  5. González Luna, Teresa; Rodríguez Zepeda, Jesús (Eds.). (2021). Dioses, Iglesias y diversidad: la discriminación y el Estado laico. Universidad de Guadalajara; Rindis. Theoría. Revista Del Colegio De Filosofía, (45), 144–148. [REVIEW]F. M. Ortiz-Delgado - 2023 - Theoría. Revista del Colegio de Filosofía 1 (45):144-148.
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  6. Teresa López de la Vieja: La pendiente resbaladiza. La práctica de la argumentación moral. Plaza y Valdés, Madrid, 2010. [REVIEW]Carissa Véliz - 2010 - Dilemata 3.
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  7. Fisiologia do Ciclo Estral dos Animais Domésticos.Emanuel Isaque Cordeiro da Silva -
    FISIOLOGIA DO CICLO ESTRAL DOS ANIMAIS -/- Departamento de Zootecnia – UFRPE Embrapa Semiárido e IPA -/- • _____OBJETIVO -/- O cio ou estro é a fase reprodutiva dos animais, onde as fêmeas apresentam receptividade sexual seguida de ovulação. Para tanto, é necessário entender a fisiologia do estro para a realização do manejo reprodutivo dos animais. Em geral, as fêmeas manifestam comportamentos fora do comum quando estão ciclando, tais comportamentos devem ser observados para que não percam o pico de ovulação (...)
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  8. XVI Brazilian Logic Conference (EBL 2011).Walter Carnielli, Renata de Freitas & Petrucio Viana - 2012 - Bulletin of Symbolic Logic 18 (1):150-151.
    This is the report on the XVI BRAZILIAN LOGIC CONFERENCE (EBL 2011) held in Petrópolis, Rio de Janeiro, Brazil between May 9–13, 2011 published in The Bulletin of Symbolic Logic Volume 18, Number 1, March 2012. -/- The 16th Brazilian Logic Conference (EBL 2011) was held in Petro ́polis, from May 9th to 13th, 2011, at the Laboratório Nacional de Computação o Científica (LNCC). It was the sixteenth in a series of conferences that started in 1977 with the aim of (...)
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  9. Comportamento Sexual dos Animais Domésticos.Emanuel Isaque Cordeiro Da Silva -
    COMPORTAMENTO SEXUAL DOS ANIMAIS OBJETIVO O estudante explicará a conduta sexual de fêmeas e machos de diferentes espécies domésticas para detectar a fase de receptividade sexual, com a finalidade de programar de maneira adequada a monta ou a inseminação artificial. A observação da conduta sexual dos animais é indispensável para o sucesso da estação reprodutiva em uma determinada propriedade. Logo, o estudante obterá o alicerce necessário sobre os pontos teóricos e práticos a serem observados para a seleção dos animais aptos (...)
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  10. Subjective probability and quantum certainty.Carlton M. Caves, Christopher A. Fuchs & Rüdiger Schack - 2007 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 38 (2):255-274.
    In the Bayesian approach to quantum mechanics, probabilities—and thus quantum states—represent an agent’s degrees of belief, rather than corresponding to objective properties of physical systems. In this paper we investigate the concept of certainty in quantum mechanics. Particularly, we show how the probability-1 predictions derived from pure quantum states highlight a fundamental difference between our Bayesian approach, on the one hand, and Copenhagen and similar interpretations on the other. We first review the main arguments for the general claim that probabilities (...)
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  11. What Emergence Can Possibly Mean.Sean M. Carroll & Achyuth Parola - manuscript
    We consider emergence from the perspective of dynamics: states of a system evolving with time. We focus on the role of a decomposition of wholes into parts, and attempt to characterize relationships between levels without reference to whether higher-level properties are “novel” or “unexpected.” We offer a classification of different varieties of emergence, with and without new ontological elements at higher levels. -/- Submitted to a volume on Real Patterns (Tyler Milhouse, ed.), to be published by MIT Press.
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  12. Leveraging Artificial Intelligence for Strategic Business Decision-Making: Opportunities and Challenges.Mohammed Hazem M. Hamadaqa, Mohammad Alnajjar, Mohammed N. Ayyad, Mohammed A. Al-Nakhal, Basem S. Abunasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (8):16-23.
    Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses face in adopting AI, such (...)
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  13. Much Ado About Nothing: Unmotivating "Gender Identity".E. M. Hernandez & Rowan Bell - forthcoming - Ergo: An Open Access Journal of Philosophy.
    Recently, the concept of "gender identity" has enjoyed a great deal of attention in gender metaphysics. This seems to be motivated by the goal of creating trans-inclusive theory, by explaining trans people's genders. In this paper, we aim to unmotivate this project. Notions of "gender identity" serve important pragmatic purposes for trans people, such as satisfying the curiosity of non-trans people, and, relatedly, securing our access to important goods like legal rights and medical care. However, we argue that this does (...)
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  14. INDUSTRY-SPECIFIC INTELLIGENT FIRE MANAGEMENT SYSTEM.M. Arul Selvan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):247-259.
    The proposed model in this paper employs different integrated detectors, such as heat, smoke, and flame. The signals from those detectors go through the system algorithm to check the fire's potentiality and then broadcast the predicted result to various parties using GSM modem associated with the GSM network system. The system uses various sensors to detect fire, smoke, and gas, then transmits the message using GSM module. After the message, send by the module the help arrives in 15 minutes. The (...)
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  15. Symmetry, Invariance, and Imprecise Probability.Zachary Goodsell & Jacob M. Nebel - forthcoming - Mind.
    It is tempting to think that a process of choosing a point at random from the surface of a sphere can be probabilistically symmetric, in the sense that any two regions of the sphere which differ by a rotation are equally likely to include the chosen point. Isaacs, Hájek, and Hawthorne (2022) argue from such symmetry principles and the mathematical paradoxes of measure to the existence of imprecise chances and the rationality of imprecise credences. Williamson (2007) has argued from a (...)
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  16. 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, (...)
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  17. CONTAINMENT ZONE ALERTING APPLICATION A PROJECT BASED LEARNING REPORT.M. Arul Selvan - 2023 - Journal of Science Technology and Research (JSTAR) 4 (1):233-246.
    The World Health Organization has declared the outbreak of the novel coronavirus, Covid-19 as pandemic across the world. With its alarming surge of affected cases throughout the world, lockdown, and awareness (social distancing, use of masks etc.) among people are found to be the only means for restricting the community transmission. In a densely populated country like India, it is very difficult to prevent the community transmission even during lockdown without social awareness and precautionary measures taken by the people. Recently, (...)
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  18. What Subjective Experiences Determine the Perception of Falling Asleep During the Sleep Onset Period?C. M. Yang & Timothy Lane - 2010 - Consciousness and Cognition 19 (4):1084-1092.
    Sleep onset is associated with marked changes in behavioral, physiological, and subjective phenomena. In daily life though subjective experience is the main criterion in terms of which we identify it. But very few studies have focused on these experiences. This study seeks to identify the subjective variables that reflect sleep onset. Twenty young subjects took an afternoon nap in the laboratory while polysomnographic recordings were made. They were awakened four times in order to assess subjective experiences that correlate with the (...)
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  19. Learning Computer Networks Using Intelligent Tutoring System.Mones M. Al-Hanjori, Mohammed Z. Shaath & Samy S. Abu Naser - 2017 - International Journal of Advanced Research and Development 2 (1).
    Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. A preliminary evaluation of (...)
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  20. Innovative Approaches in Cardiovascular Disease Prediction Through Machine Learning Optimization.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, optimized through (...)
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  21. 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 (...)
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  22. SVM-Enhanced Intrusion Detection System for Effective Cyber Attack Identification and Mitigation.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):397-403.
    The ever-evolving landscape of cyber threats necessitates robust and adaptable intrusion detection systems (IDS) capable of identifying both known and emerging attacks. Traditional IDS models often struggle with detecting novel threats, leading to significant security vulnerabilities. This paper proposes an optimized intrusion detection model using Support Vector Machine (SVM) algorithms tailored to detect known and innovative cyberattacks with high accuracy and efficiency. The model integrates feature selection and dimensionality reduction techniques to enhance detection performance while reducing computational overhead. By leveraging (...)
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  23. PHISHING CONTENT CLASSIFICATION USING DYNAMIC WEIGHTING AND GENETIC RANKING OPTIMIZATION ALGORITHM.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):471-485.
    Phishing attacks remain one of the most prevalent cybersecurity threats, affecting individuals and organizations globally. The rapid evolution of phishing techniques necessitates more sophisticated detection and classification methods. In this paper, we propose a novel approach to phishing content classification using a Genetic Ranking Optimization Algorithm (GROA), combined with dynamic weighting, to improve the accuracy and ranking of phishing versus legitimate content. Our method leverages features such as URL structure, email content analysis, and user behavior patterns to enhance the detection (...)
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  24. IoT-Integrated Smart Home Technologies with Augmented Reality for Improved User Experience.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):389-394.
    The paper also discusses the technical architecture, including the network protocols, data management strategies, and user interface design considerations necessary to implement such a system. Additionally, it addresses the challenges related to data security, privacy, and system interoperability. Finally, the paper outlines potential future enhancements, such as the incorporation of AI-driven predictive analytics and advanced AR features, to further elevate the smart home experience.
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  25. Transforming Consumer Behavior Analysis with Cutting-Edge Machine Learning.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):360-368.
    The research outlines a workflow that incorporates data collection, preprocessing, model training, and optimization. Real-world datasets from retail and e-commerce sectors are utilized to validate the proposed methodology, showcasing substantial improvements in model performance. The results indicate that optimized models not only provide better predictions of consumer behaviour but also enhance customer segmentation and targeting strategies. The study concludes with recommendations for future research, including the exploration of hybrid optimization techniques and the application of these methods in real-time analytics.
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  26. Deep Learning Techniques for Comprehensive Emotion Recognition and Behavioral Regulation.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):383-389.
    Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that provide (...)
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  27. Robust Cyber Attack Detection with Support Vector Machines: Tackling Both Established and Novel Threats.M. Arul Selvan - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):160-165.
    The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train and validate the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD Cup 99) dataset (...)
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  28. Reality as a Vector in Hilbert Space.Sean M. Carroll - 2022 - In Valia Allori, Quantum Mechanics and Fundamentality: Naturalizing Quantum Theory between Scientific Realism and Ontological Indeterminacy. Cham: Springer. pp. 211-224.
    I defend the extremist position that the fundamental ontology of the world consists of a vector in Hilbert space evolving according to the Schrödinger equation. The laws of physics are determined solely by the energy eigenspectrum of the Hamiltonian. The structure of our observed world, including space and fields living within it, should arise as a higher-level emergent description. I sketch how this might come about, although much work remains to be done.
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  29. A comparative analysis of biomedical research ethics regulation systems in Europe and Latin America with regard to the protection of human subjects.E. Lamas, M. Ferrer, A. Molina, R. Salinas, A. Hevia, A. Bota, D. Feinholz, M. Fuchs, R. Schramm, J. -C. Tealdi & S. Zorrilla - 2010 - Journal of Medical Ethics 36 (12):750-753.
    The European project European and Latin American Systems of Ethics Regulation of Biomedical Research Project (EULABOR) has carried out the first comparative analysis of ethics regulation systems for biomedical research in seven countries in Europe and Latin America, evaluating their roles in the protection of human subjects. We developed a conceptual and methodological framework defining ‘ethics regulation system for biomedical research’ as a set of actors, institutions, codes and laws involved in overseeing the ethics of biomedical research on humans. This (...)
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  30. Multipath Routing Optimization for Enhanced Load Balancing in Data-Heavy Networks.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):377-382.
    In today's data-driven world, the efficient management of network resources is crucial for optimizing performance in data centers and large-scale networks. Load balancing is a critical process in ensuring the equitable distribution of data across multiple paths, thereby enhancing network throughput and minimizing latency. This paper presents a comprehensive approach to load balancing using advanced optimization techniques integrated with multipath routing protocols. The primary focus is on dynamically allocating network resources to manage the massive volume of data generated by modern (...)
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  31. Aggregation Without Interpersonal Comparisons of Well‐Being.Jacob M. Nebel - 2021 - Philosophy and Phenomenological Research 105 (1):18-41.
    This paper is about the role of interpersonal comparisons in Harsanyi's aggregation theorem. Harsanyi interpreted his theorem to show that a broadly utilitarian theory of distribution must be true even if there are no interpersonal comparisons of well-being. How is this possible? The orthodox view is that it is not. Some argue that the interpersonal comparability of well-being is hidden in Harsanyi's premises. Others argue that it is a surprising conclusion of Harsanyi's theorem, which is not presupposed by any one (...)
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  32. The Evolution of AI in Autonomous Systems: Innovations, Challenges, and Future Prospects.Ashraf M. H. Taha, Zakaria K. D. Alkayyali, Qasem M. M. Zarandah, Bassem S. Abu-Nasser, & Samy S. Abu-Naser - 2024 - International Journal of Academic Engineering Research (IJAER) 8 (10):1-7.
    Abstract: The rapid advancement of artificial intelligence (AI) has catalyzed significant developments in autonomous systems, which are increasingly shaping diverse sectors including transportation, robotics, and industrial automation. This paper explores the evolution of AI technologies that underpin these autonomous systems, focusing on their capabilities, applications, and the challenges they present. Key areas of discussion include the technological innovations driving autonomy, such as machine learning algorithms and sensor integration, and the practical implementations observed in autonomous vehicles, drones, and robotic systems. Additionally, (...)
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  33. THE EFFICIENCY EXTENT OF THE INTERNAL CONTROL ENVIRONMENT IN THE PALESTINIAN HIGHER EDUCATIONAL INSTITUTIONS IN GAZA STRIP.Tarek M. Ammar, Mazen J. Al Shobaki & Samy S. Abu Naser - 2017 - International Journal of Digital Publication Technology 1 (2):107-126.
    The purpose of this research is to identify the extent of the efficiency of the internal control environment in the Palestinian higher educational institutions in Gaza Strip from the perspective of employees in the Palestinian universities in Gaza Strip, where researchers used in the study five universities. The researchers adopted in their study the descriptive and analytical approach. The research community consists of administrative employees and academic employees with administrative duties. Senior management or the University Council was excluded. The study (...)
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  34. Credit Score Classification Using Machine Learning.Mosa M. M. Megdad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (5):1-10.
    Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the F1-score (...)
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  35. The (Dis)unity of Psychological (Social) Bias.Gabbrielle M. Johnson - 2024 - Philosophical Psychology (6):1349-1377.
    This paper explores the complex nature of social biases, arguing for a functional framework that recognizes their unity and diversity. The functional approach posits that all biases share a common functional role in overcoming underdetermination. This framework, I argue, provides a comprehensive understanding of how all psychological biases, including social biases, are unified. I then turn to the question of disunity, demonstrating how psychological social biases differ systematically in the mental states and processes that constitute them. These differences indicate that (...)
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  36. Deductive Computing over Knowledge Bases: Prolog and Datalog.Luis M. Augusto - 2024 - Journal of Knowledge Structures and Systems 5 (1):1-62.
    Knowledge representation (KR) is actually more than representation: It involves also inference, namely inference of “new” knowledge, i.e. new facts. Logic programming is a suitable KR medium, but more often than not discussions on this programming paradigm focus on aspects other than KR. In this paper, I elaborate on the general theory of logic programming and give the essentials of two of its main implementations, to wit, Prolog and Datalog, from the viewpoint of deductive computing over knowledge bases, which includes (...)
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  37.  87
    Music, Visualization and the Multi-Stage Account of Photography.Dawn M. Wilson - 2024 - Debates in Aesthetics 18 (2):13-46.
    Like his contemporary, Edward Weston, Ansel Adams claimed that visualization is essential for creating fine art photography. But, unlike Weston, he believed that a print from a negative is like a performance from a score. In his analogy, a photographer’s visualization is like a musician’s composition: once it has been set down in a ‘score’, it can be expressively rendered by different performers, making it possible to create and critically appreciate ‘performances’ with different qualities. I argue that this music-photography analogy (...)
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  38. Within your rights: dissociating wrongness and permissibility in moral judgment.Samuel Murray, William Jiménez-Leal & Santiago Amaya - 2024 - British Journal of Social Psychology 63 (1):340 - 361.
    Are we ever morally permitted to do what is morally wrong? It seems intuitive that we are, but evidence for dissociations among judgment of permissibility and wrongness are relatively scarce. Across 4 experiments (N = 1,438), we show that people judge that some behaviors can be morally wrong and permissible. The dissociations arise because these judgments track different morally relevant aspects of everyday moral encounters. Judgments of individual rights predicted permissibility but not wrongness, while character assessment predicted wrongness but not (...)
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  39. Arrow’s impossibility theorem and the national security state.S. M. Amadae - 2005 - Studies in History and Philosophy of Science Part A 36 (4):734-743.
    This paper critically engages Philip Mirowki's essay, "The scientific dimensions of social knowledge and their distant echoes in 20th-century American philosophy of science." It argues that although the cold war context of anti-democratic elitism best suited for making decisions about engaging in nuclear war may seem to be politically and ideologically motivated, in fact we need to carefully consider the arguments underlying the new rational choice based political philosophies of the post-WWII era typified by Arrow's impossibility theorem. A distrust of (...)
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  40. 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 (...)
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  41. Can Chatbots Preserve Our Relationships with the Dead?Stephen M. Campbell, Pengbo Liu & Sven Nyholm - forthcoming - Journal of the American Philosophical Association.
    Imagine that you are given access to an AI chatbot that compellingly mimics the personality and speech of a deceased loved one. If you start having regular interactions with this “thanabot,” could this new relationship be a continuation of the relationship you had with your loved one? And could a relationship with a thanabot preserve or replicate the value of a close human relationship? To the first question, we argue that a relationship with a thanabot cannot be a true continuation (...)
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  42. Ethics in AI: Balancing Innovation and Responsibility.Mosa M. M. Megdad, Mohammed H. S. Abueleiwa, Mohammed Al Qatrawi, Jehad El-Tantaw, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):20-25.
    Abstract: As artificial intelligence (AI) technologies become more integrated across various sectors, ethical considerations in their development and application have gained critical importance. This paper delves into the complex ethical landscape of AI, addressing significant challenges such as bias, transparency, privacy, and accountability. It explores how these issues manifest in AI systems and their societal impact, while also evaluating current strategies aimed at mitigating these ethical concerns, including regulatory frameworks, ethical guidelines, and best practices in AI design. Through a comprehensive (...)
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  43. The future of pharmacy in Libya.Fathi M. Sherif - 2023 - Mediterranean Journal of Pharmacy and Pharmaceutical Sciences 3 (1):1-2.
    One must accept the complexity of modern society as a multifaceted influence that will direct the future of all social organizations. Technology has brought the people of the world into almost instant communication. Biomedical science has conquered most infectious, acute diseases and has provided several medicines for the successful maintenance therapy of chronic diseases. The lifestyle of some people as smoking and drug addiction remains a strong factor in their achievement of the health goals of the good life. Universally, economic (...)
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  44. A Dual Aspect Theory of Shared Intention.Facundo M. Alonso - 2016 - Journal of Social Ontology 2 (2):271–302.
    In this article I propose an original view of the nature of shared intention. In contrast to psychological views (Bratman, Searle, Tuomela) and normative views (Gilbert), I argue that both functional roles played by attitudes of individual participants and interpersonal obligations are factors of central and independent significance for explaining what shared intention is. It is widely agreed that shared intention (I) normally motivates participants to act, and (II) normally creates obligations between them. I argue that the view I propose (...)
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  45. Challenges of Founding a New Government in Iraq.Gail M. Presbey - 2005 - Constellations 12 (4):521-541.
    Hannah Arendt argues that a revolution must not only tear down, but build up a new government. That new government needs authority and it gets its authority from its founding moment, when peers come together in mutual promise, agreeing to treat each other as equals and obeying laws which they legislate for themselves. The paper then looks at the recent attempts of the U.S. government and its allies to bring democracy to Iraq. The paper argues that given the dynamics necessary (...)
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  46. Intending, Settling, and Relying.Facundo M. Alonso - 2017 - In David Shoemaker, Oxford Studies in Agency and Responsibility Volume 4. Oxford University Press. pp. 50-74.
    Philosophers of action of different persuasions have suggested that there is a tight connection between the phenomenon of intending and the phenomena of “being settled on” and of “settling” a course of action. For many, this connection supports an important constraint on intention: one may only intend what one takes one’s so intending as settling. Traditionally, this has been understood as a doxastic constraint on intention: what one takes one’s intention as settling is what one believes one’s so intending as (...)
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  47. Mixed Messages: How Criminal Law Fails to Express Feminist Values.Amelia M. Wirts - forthcoming - Criminal Law and Philosophy.
    Criminal law practices in the US, including policing and incarceration, have drawn heavy criticism for their disproportionate impact on black people, particularly black men. At the same time, some feminist scholars and activists advocate for increases in criminal law responses to sexual assault, including expanding criminal statutes to cover more instances of sexual assault and increasing sentencing guidelines. These reforms are often justified by claims that criminal law should express more feminist values and reject sexist social schemas. This paper makes (...)
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  48. Can the mind wander intentionally?Samuel Murray & Kristina Krasich - 2020 - Mind and Language 37 (3):432-443.
    Mind wandering is typically operationalized as task-unrelated thought. Some argue for the need to distinguish between unintentional and intentional mind wandering, where an agent voluntarily shifts attention from task-related to task-unrelated thoughts. We reveal an inconsistency between the standard, task-unrelated thought definition of mind wandering and the occurrence of intentional mind wandering (together with plausible assumptions about tasks and intentions). This suggests that either the standard definition of mind wandering should be rejected or that intentional mind wandering is an incoherent (...)
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  49. An Existential Attention Norm for Affectively Biased Sentient Beings: A Buddhist Intervention from Buddhaghosa.Sean M. Smith - 2025 - Journal of the American Philosophical Association:20.
    This article argues that our attention is pervasively biased by embodied affects and that we are normatively assessable in light of this. From a contemporary perspective, normative theorizing about attention is a relatively new trend (Siegel 2017: Ch. 9, Irving 2019, Bommarito 2018: Ch. 5). However, Buddhist philosophy has provided us with a well-spring of normatively rich theorizing about attention from its inception. This article will address how norms of attention are dealt with in Buddhaghosa’s (5th-6th CE) claims about how (...)
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  50. An Ecofeminist Critique of Rural Studio: Toward an Ethically-Sustainable Aesthetics.Joshua M. Hall - forthcoming - The Journal of Aesthetic Education.
    In this article, I apply Australian logician and ecofeminist philosopher Val Plumwood’s Feminism and the Mastery of Nature, specifically its alternative logic of “the dance of interaction,” to a controversial community-engagement program in my home state of Alabama. At Rural Studio, Auburn University students design free housing and public works for one of the poorest regions in the United States, known as the “Black Belt.” Through the lens of Plumwood’s ecofeminist dancing logic, the marginalized source of Rural Studio’s survival is (...)
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