Results for 'Nadia S. Korablova'

986 found
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  1. From Anaxagoras to Albert the Great: The Latency of Forms and the Active Power of Matter in the Middle Ages.Nadia Bray - 2024 - Noctua 11 (3):368-392.
    This study explores the doctrine of the latency of forms in the Middle Ages, with a particular focus on Albert the Great’s elaboration through his theory of inchoatio formarum. The doctrine, whose origins date back to Anaxagoras and was further developed in the Arabic philosophical tradition, posits that matter contains all the manifest qualities of substances, though in a latent form. Albert reworks this doctrine, correcting the immanentist and paradoxical implications attributed to Anaxagoras’ error, and proposes an interpretation in which (...)
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  2. The Sacred Art of Burckhardt and Seyyed Hossein Nasr: the Contemporary Approach of Farabi's Virtuous City’s Art and Suhrawardi's Illuminating Art.Maftouni Nadia & Davar Mohamad Mahdi - 2022 - Pajohesh Dar Honar Wa Ulom Ensani 5 (44):19- 26.
    Art among Iranian and Islamic philosophers has always been associated with moral, so that many philosophers have considered art to be synonymous with virtue. By examining Farabi's opinions, it is possible to extract his special ideas about art and artist. In Farabi's theory of Virtuous Art, the artist is on the second floor of utopia and carries religious truths and reasonable happiness. Also, the theory of Virtuous Art has all the aesthetic features and artistic creativity, and in fact, all artistic (...)
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  3. Suhrawardi’s Approach to the Treatment of the Diseases of the Soul.Mohamad Mahdi Davar & Nadia Maftouni - 2023 - Nasime Kherad 9 (1):25-44.
    Suhrawardi is among the philosophers who, compared to other philosophers, developed his intellectual system in an innovative manner. Suhrawardi’s illuminative intellectual system is the result of his thoughts in philosophy and mysticism, and the ultimate of his illuminative school is to achieve the station of mystic perception and theosophy using intuition and reasoning. The pure soul is an important pillar in the wayfarer’s intuition; and since the soul has descended from the world of the dominant lights to the world of (...)
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  4. The Metaphysics of Love in Avicenna’s Philosophical System.Ghasem Ali Kouchnani, Nadia Maftouni & Mohamad Mahdi Davar - 2024 - History of Islamic Philosophy 2 (8):5-36.
    The metaphysical concept of love in Sinawi philosophy examines the three axes of the essence, reason, and manner of love in Avicenna’s intellectual system, resulting in Avicenna’s theory of love. By examining Avicenna’s views on love, particularly in his treatise on love, it can be understood that he has presented two definitions of love (essence), and in the seven chapters of the treatise on love, he admits that love is a pervasive essential substance throughout existence, and no creature is devoid (...)
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  5. Theological foundations of Illuminated Suhrawardi’s Virtuous City.Mohamad Mahdi Davar & Nadia Maftouni - 2022 - Nasim Kherad 8 (1):9-26.
    Suhrawardi created a revolution in the field of Iranian and Islamic thought by compiling the Illuminated Philosophy. The philosophy of Suhrawardi, which includes the collection of works and philosophical and mystical thoughts of Suhrawardi, is well presented in his book Hikma al-Ishraq. Unlike Farabi, Suhrawardi did not write an independent work about Utopia, but he spoke about the ideal ruler and the right to rule. Moreover, in his allegorical works, more than anything else, he pointed out moral points that can (...)
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  6. Democratic Representation and Legislative Theatre.Gustavo H. Dalaqua - 2020 - Theoria: A Journal of Social and Political Theory 67 (164):26-47.
    This article seeks to contribute to the debate on how political representation can promote democracy by analysing the Chamber in the Square, which is a component of legislative theatre. A set of techniques devised to democratise representative governments, legislative theatre was created by Augusto Boal when he was elected a political representative in 1993. After briefly reviewing Nadia Urbinati’s understanding of democratic representation as a diarchy of will and judgement, I partially endorse Hélène Landemore’s criticism and contend that if (...)
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  7. Content Neutrality: A Defense.Joseph Dunne - 2019 - Journal of Ethical Urban Living 2 (1):35-50.
    To date, both the United States federal government and twenty-one individual states have passed Religious Freedom Restoration Acts that aim to protect religious persons from having their sincere beliefs substantially burdened by governmental interests. RFRAs accomplish this by offering a three-pronged exemption test for religious objectors that is satisfied only when (1) an objector has a sincere belief that is being substantially burdened; (2) the government has a very good reason (e.g., health or safety) to interfere; and (3) there is (...)
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  8. Forgetting Fatness: The Violent Co-optation of the Body Positivity Movement.Cheryl Frazier & Nadia Mehdi - 2021 - Debates in Aesthetics 16 (1):13-28.
    In this paper we track the ‘body positivity’ movement from its origins, promoting radical acceptance of marginalized bodies, to its co-optation as a push for self-love for all bodies, including those bodies belonging to socially dominant groups. We argue that the new focus on the ‘body positivity’ movement involves a single-minded emphasis on beauty and aesthetic adornment, and that this undermines the original focus of social and political equality, pandering instead to capitalism and failing to rectify unjust institutions and policies. (...)
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  9. The Role of AI in Enhancing Business Decision-Making: Innovations and Implications.Faten Y. A. Abu Samara, Aya Helmi Abu Taha, Nawal Maher Massa, Tanseen N. Abu Jamie, Fadi E. S. Harara, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Pedagogical Research (IJAPR) 8 (9):8-15.
    Abstract: Artificial Intelligence (AI) has rapidly advanced, offering significant potential to transform business decision-making. This paper delves into how AI can be harnessed to enhance strategic decision-making within business contexts. It investigates the integration of AI-driven analytics, predictive modeling, and automation, emphasizing their role in improving decision accuracy and operational efficiency. By examining current applications and case studies, the paper underscores the opportunities AI offers, including improved data insights, risk management, and personalized customer experiences. It also addresses the challenges businesses (...)
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  10. Revolutionizing Drug Discovery: The Role of Artificial Intelligence in Accelerating Pharmaceutical Innovation".Alaa Soliman Abu Mettleq, Alaa N. Akkila, Mohammed A. Alkahlout, Suheir H. A. ALmurshidi, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2024 - Information Journal of Academic Engineering Research (Ijaer) 8 (10):45-53.
    Abstract: The integration of artificial intelligence (AI) into drug discovery is revolutionizing the pharmaceutical industry by accelerating the development of novel therapeutics. AI-powered tools enable researchers to process vast datasets, identify drug candidates, and predict their efficacy and safety with unprecedented speed and accuracy. This paper explores the transformative impact of AI on drug discovery, highlighting key advancements in machine learning algorithms, deep learning, and predictive modeling. Additionally, it addresses the challenges associated with AI implementation, including data quality, regulatory hurdles, (...)
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  11. Classification of Sign-Language Using MobileNet - Deep Learning.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):29-40.
    Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper we try (...)
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  12. Streamlined Book Rating Prediction with Neural Networks.Lana Aarra, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):7-13.
    Abstract: Online book review platforms generate vast user data, making accurate rating prediction crucial for personalized recommendations. This research explores neural networks as simple models for predicting book ratings without complex algorithms. Our novel approach uses neural networks to predict ratings solely from user-book interactions, eliminating manual feature engineering. The model processes data, learns patterns, and predicts ratings. We discuss data preprocessing, neural network design, and training techniques. Real-world data experiments show the model's effectiveness, surpassing traditional methods. This research can (...)
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  13. I didn’t Leave Inceldom; Inceldom Left me”: Examining Male Ex-Incel Navigations of Complex Masculinities Identity Rebuilding Following Rejection of Incel-Culture.Nicholas Norman Adams & David S. Smith - 2025 - Deviant Behavior.
    This study explores experiences of ex-incels—men who have withdrawn from incel communities—through eleven qualitative interviews analysed using R.W. Connell’s hegemonic masculinity (HM) framework. Findings reveal some ex-incels adopt flexible masculinities, while others struggle with prescriptive norms perpetuated by the anti-feminist ‘manosphere’. Findings spotlight identity reconstructions, where men both reject and remain influenced by rigid archetypes, performing hybrid masculinities. This study deepens understanding of incel ideology, its impact on identity, and interplay between inceldom and masculinities via contributing to hybrid masculinities theorising. (...)
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  14. Predicting Audit Risk Using Neural Networks: An In-depth Analysis.Dana O. Abu-Mehsen, Mohammed S. Abu Nasser, Mohammed A. Hasaballah & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (10):48-56.
    Abstract: This research paper presents a novel approach to predict audit risks using a neural network model. The dataset used for this study was obtained from Kaggle and comprises 774 samples with 18 features, including 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. The proposed neural network architecture consists of three layers, including one input layer, one hidden layer, and one output layer. The neural network model was trained and validated, achieving (...)
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  15. Classification of Sign-language Using VGG16.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (6):36-46.
    Sign Language Recognition (SLR) aims to translate sign language into text or speech in order to improve communication between deaf-mute people and the general public. This task has a large social impact, but it is still difficult due to the complexity and wide range of hand actions. We present a novel 3D convolutional neural network (CNN) that extracts discriminative spatial-temporal features from photo datasets. This article is about classification of sign languages are not universal and are usually not mutually intelligible (...)
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  16. Google Stock Price Prediction Using Just Neural Network.Mohammed Mkhaimar AbuSada, Ahmed Mohammed Ulian & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):10-16.
    Abstract: The aim behind analyzing Google Stock Prices dataset is to get a fair idea about the relationships between the multiple attributes a day might have, such as: the opening price for each day, the volume of trading for each day. With over a hundred thousand days of trading data, there are some patterns that can help in predicting the future prices. We proposed an Artificial Neural Network (ANN) model for predicting the closing prices for future days. The prediction is (...)
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  17. Classification of Sign-Language Using Deep Learning - A Comparison between Inception and Xception models.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (8):9-19.
    there is a communication gap between hearing-impaired people and those with normal hearing, sign language is the main means of communication in the hearing-impaired population. Continuous sign language recognition, which can close the communication gap, is a difficult task since the ordered annotations are weakly supervised and there is no frame-level label. To solve this issue, we compare the accuracy of each model using two deep learning models, Inception and Xception . To that end, the purpose of this paper is (...)
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  18. Classification of Sign-Language Using Deep Learning by ResNet.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (8):25-34.
    American Sign Language, or ASL as its acronym is commonly known, is a fascinating language, and many people outside of the Deaf community have begun to recognize its value and purpose. It is a visual language consisting of coordinated hand gestures, body movements, and facial expressions. Sign language is not a universal language; it varies by country and is heavily influenced by the native language and culture. The American Sign Language alphabet and the British Sign Language alphabet are completely contrary. (...)
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  19. The Moderating Effect of Social Media Usage on the Relationship between the Perceived Value of the Websites and Motivational Factors on Sustainable Travel Agents.Mohanad Abumandil, Tareq Obaid, Athifah Najwani, Siti Salina Saidin & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (7):9-17.
    As sustainable tourism gains increasing attention, understanding the factors that influence travelers' motivation to engage with sustainable travel agents becomes crucial. This study investigates the moderating effect of social media usage on the relationship between the perceived value of websites and motivational factors for sustainable travel agents. The study proposes that social media usage acts as a moderator in shaping the relationship between the perceived value of websites and motivational factors. This study has utilized smart tourism. Therefore, independent variable motivation (...)
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  20. Does Person-Job Fit among Nurses Really Matters? An Empirical Study: Effect of P-J Fit on Job Outcomes of Nurses of Pakistan with Agreeableness as a Moderator.Mahwish Sikander & Nadia Batool - 2021 - International Journal of Business and Economic Affairs (IJBEA) 6 (1):24-36.
    The purpose of this study is to find out that whether the jobs of nurses in Pakistan are fulfilling their necessary requirements or not. This issue is being analyzed by the relation of Person-Job (P-J) Fit with three different JobBehaviors and the whole relation is being tested under the moderation of Agreeableness, which is a personality trait of the Big5 Model. A survey method is deployed, questionnaires are used to obtain data. 120 Nurses were accessed from different hospitals of Islamabad/Rawalpindi. (...)
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  21.  43
    AI Regulation and Governance.Mohammed M. Abu-Saqer, Sabreen R. Qwaider, Islam Albatish, Azmi H. Alsaqqa, Bassem S. Abu-Nasser & Samy S. Abu-Naser - forthcoming - Information Journal of Engineering Research (Ijaer).
    Abstract: As artificial intelligence (AI) technologies rapidly evolve and permeate various aspects of society, the need for effective regulation and governance has become increasingly critical. This paper explores the current landscape of AI regulation, examining existing frameworks and their efficacy in addressing the unique challenges posed by AI. Key issues such as ensuring compliance, mitigating biases, and maintaining transparency are analyzed. The paper also delves into ethical considerations surrounding AI governance, emphasizing the importance of fairness and accountability. Through case studies (...)
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  22. Predictive Modeling of Breast Cancer Diagnosis Using Neural Networks:A Kaggle Dataset Analysis.Anas Bachir Abu Sultan & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):1-9.
    Breast cancer remains a significant health concern worldwide, necessitating the development of effective diagnostic tools. In this study, we employ a neural network-based approach to analyze the Wisconsin Breast Cancer dataset, sourced from Kaggle, comprising 570 samples and 30 features. Our proposed model features six layers (1 input, 1 hidden, 1 output), and through rigorous training and validation, we achieve a remarkable accuracy rate of 99.57% and an average error of 0.000170 as shown in the image below. Furthermore, our investigation (...)
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  23. Web page phishing detection Using Neural Network.Ahmed Salama Abu Zaiter & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (9):1-13.
    Web page phishing is a type of phishing attack that targets websites. In a web page phishing attack, the attacker creates a fake website that looks like a legitimate website, such as a bank or credit card company website. The attacker then sends a fraudulent message to the victim, which contains a link to the fake website. When the victim clicks on the link, they are taken to the fake website and tricked into entering their personal information.Web page phishing attacks (...)
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  24. 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, (...)
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  25. The Reality of Applying the Balanced Scorecard in the Egyptian Ceramic Companies.AbdElaal AbdAllah AbdElaal, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2021 - International Journal of Academic Management Science Research (IJAMSR) 5 (10):128-140.
    The study aimed to identify the level of organizational performance in ceramic companies in the Tenth of Ramadan City, where the researchers used the descriptive analytical method, through a questionnaire distributed. The study reached a set of results, the most important of which are: the presence of a clear consensus of the study sample from the members of the senior management that all dimensions of the balanced scorecard variable are largely present in the ceramic companies under study, and the results (...)
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  26. Do we need dynamic semantics?Karen S. Lewis - 2014 - In Alexis Burgess & Brett Sherman, Metasemantics: New Essays on the Foundations of Meaning. New York: Oxford University Press. pp. 231-258.
    I suspect the answer to the question in the title of this paper is no. But the scope of my paper will be considerably more limited: I will be concerned with whether certain types of considerations that are commonly cited in favor of dynamic semantics do in fact push us towards a dynamic semantics. Ultimately, I will argue that the evidence points to a dynamics of discourse that is best treated pragmatically, rather than as part of the semantics.
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  27. Climate Change temperature Prediction Using Just Neural Network.Saja Kh Abu Safiah & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):35-45.
    Climate change temperature prediction plays a crucial role in effective environmental planning. This study introduces an innovative approach that harnesses the power of Artificial Neural Networks (ANNs) within the Just Neural Network (JustNN) framework to enhance temperature forecasting in the context of climate change. By leveraging historical climate data, our model achieves exceptional accuracy, redefining the landscape of temperature prediction without intricate preprocessing. This model sets a new standard for precise temperature forecasting in the context of climate change. Moreover, our (...)
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  28. SHS Students’ Engagement in Online Synchronous Collaborative Learning Activities: Correlations with Self-efficacy, Peer Social Support, Well-being and Academic Performance.Trisha Mae M. Afable, Jilian Casandra D. Lamberto, Trixia Anne Nicole P. Ng, Ashley Nicole S. Umandap & Myla M. Arcinas - 2022 - International Journal of Multidisciplinary: Applied Business and Education Research 3 (6):1128-1138.
    The pandemic of COVID-19 prompted several paradigm shifts throughout society, including in education. This study aimed to examine the relationships of students' engagement in online synchronous collaborative learning activities (OSCLA) with their self-efficacy (LSE), peer social support (LPSS), state of well-being (SWB), and level of academic performance (LAP). A total of 176 Filipino Grade 12 SHS students, 18 years old and older, from a private educational institution were purposively selected for this study. Data were generated using an online survey. Results (...)
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  29. Robert Nozick on Prisoner's Dilemma.S. S. - manuscript
    Robert Nozick, in chapter two of the nature of rationality, proposes two famous problems in decision theory (i.e., Newcomb's problem and Prisoner Dilemma) and two main strategies toward these problems i.e. dominant strategy and dominated or cooperative one. He will try to give a formal principles to calculate the decision values in these situations. In this calculation he goes beyond the standard principle of maximizing expected utility and would try to put forth less ideal and more realistic principles that fit (...)
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  30. 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 (...)
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  31. 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.
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  32. Artificial Neural Network Heart Failure Prediction Using JNN.Khaled M. Abu Al-Jalil & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (9):26-34.
    Heart failure is a major cause of death worldwide. Early detection and intervention are essential for improving the chances of a positive outcome. This study presents a novel approach to predicting the likelihood of a person having heart failure using a neural network model. The dataset comprises 918 samples with 11 features, such as age, sex, chest pain type, resting blood pressure, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. A neural (...)
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  33. (1 other version)The ant colony as a test for scientific theories of consciousness.Daniel A. Friedman & Eirik Søvik - 2019 - Synthese (2):1-24.
    The appearance of consciousness in the universe remains one of the major mysteries unsolved by science or philosophy. Absent an agreed-upon definition of consciousness or even a convenient system to test theories of consciousness, a confusing heterogeneity of theories proliferate. In pursuit of clarifying this complicated discourse, we here interpret various frameworks for the scientific and philosophical study of consciousness through the lens of social insect evolutionary biology. To do so, we first discuss the notion of a forward test versus (...)
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  34. Dynamic Semantics.Karen S. Lewis - 2017 - Oxford Handbooks Online.
    This article focuses on foundational issues in dynamic and static semantics, specifically on what is conceptually at stake between the dynamic framework and the truth-conditional framework, and consequently what kinds of evidence support each framework. The article examines two questions. First, it explores the consequences of taking the proposition as central semantic notion as characteristic of static semantics, and argues that this is not as limiting in accounting for discourse dynamics as many think. Specifically, it explores what it means for (...)
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  35. Counterfactuals and Knowledge.Karen S. Lewis - 2017 - In Jonathan Jenkins Ichikawa, The Routledge Handbook of Epistemic Contextualism. New York: Routledge. pp. 411-424.
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  36. Zarathustra's Blessed Isles: Before and After Great Politics.Peter S. Groff - 2021 - Journal of Nietzsche Studies 52 (1):135-163.
    This article considers the significance of the Blessed Isles in Nietzsche’s Thus Spoke Zarathustra. They are the isolated locale to which Zarathustra and his fellow creators retreat in the Second Part of the book. I trace Zarathustra’s Blessed Isles back to the ancient Greek paradisiacal afterlife of the makarōn nēsoi and frame them against Nietzsche’s Platonic conception of philosophers as “commanders and legislators,” but I argue that they represent something more like a modern Epicurean Garden. Ultimately, I suggest that Zarathustra’s (...)
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  37. 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 (...)
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  38. Exzentrische Tiere und die Selbstüberwindung des Naturalismus: Dilthey, Plessner, Grene.Eric S. Nelson - 2018 - In Rainer Adolphi, Andrzej Gniazdowski & Zdzisław Krasnodębski, Philosophische Anthropologie zwischen Soziologie und Geschichtsphilosophie. Nordhausen: Bautz-Verlag. pp. 369-387.
    In diesem Aufsatz, werde ich die Frage des Naturalismus in Plessners Philosophie des organischen Lebens und seiner amerikanischen Rezeption, in besonders die philosophischen-biologischen Schriften von Marjorie Grene, untersuchen. Die amerikanische Philosophin Grene war die Hauptvertreterin Plessners im Englischen Sprachraum in 20sten Jahrhundert, die Plessners anthropologischen Argumentation in ihren Schriften zur Philosophie der Biologie aufgenommen und verwendet hat. Grene kritisierte in ihren frühen Schriften Heidegger, Sartre, und die Existenzphilosophie, die das menschliche Dasein von der Natur radikal absondert und die negative Affekte (...)
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  39. Smart Healthy Age-Friendly Environments (SHAFE) Bridging Innovation to Health Promotion and Health Service Provision.Vincenzo de Luca, Hannah Marston, Leonardo Angelini, Nadia Militeva, Andrzej Klimczuk, Carlo Fabian, Patrizia Papitto, Joana Bernardo, Filipa Ventura, Rosa Silva, Erminia Attaianese, Nilufer Korkmaz, Lorenzo Mercurio, Antonio Maria Rinaldi, Maurizio Gentile, Renato Polverino, Kenneth Bone, Willeke van Staalduinen, Joao Apostolo, Carina Dantas & Maddalena Illario - 2023 - In Andrzej Klimczuk, Intergenerational Relations: Contemporary Theories, Studies, and Policies. London: IntechOpen. pp. 201–226.
    A number of experiences have demonstrated how digital solutions are effective in improving quality of life (QoL) and health outcomes for older adults. Smart Health Age-Friendly Environments (SHAFE) is a new concept introduced in Europe since 2017 that combines the concept of Age-Friendly Environments with Information Technologies, supported by health and community care to improve the health and disease management of older adults and during the life-course. This chapter aims to provide an initial overview of the experiences available not only (...)
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  40. Suffering, Evil, and the Emotions: A Joseon Debate between Neo-Confucianism and Buddhism.Eric S. Nelson - 2016 - International Journal of Korean Studies 16:447-462.
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  41. Beyond Theodicy: the Divine in Heidegger and Tragedy.Robert S. Gall - 1985 - Philosophy Today 29 (2):110-120.
    The paper explores the way in which we can make sense of the seemingly contradictory presentations of God and the gods in tragic literature by looking to the thought of Martin Heidegger. The duplicity of the gods in tragedy is found to be a function of the uncertainty and questionworthiness of being.
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  42. Davidson on Truth, Norms, and Dispositions.Garris S. Rogonyan - 2018 - Epistemology and Philosophy of Science 55 (4):68-83.
    Normative dualism between descriptions of the mental and the physical is still a problem for many philosophers that provokes more and more attempts to justify it, or, on the contrary, to overcome it by means of reduction. The problem of a special normative status of mental states is usually considered in isolation from the concept of truth. Moreover, the definition of truth is often construed only as a part of the problem of normativity: in this case, truth is only a (...)
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  43. Conducting Controlled human infection model studies in India is an ethical obligation.Saumil Dholakia & S. Y. Dholakia - 2018 - Indian Journal of Medical Ethics 3 (4).
    Weighing competing obligations and achieving the “greatest balance” of right over wrong guides an individual, an agency or a country in determining what ought to be done in an ethically challenging situation. Conducting controlled human infection model (CHIM) studies in India is one such situation. The ethical challenge in conducting a CHIM study lies in completing the difficult task of introducing standardised, attenuated strains of micro-organisms into normal healthy volunteers, at the same time ensuring the safety of these healthy individuals (...)
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  44. The Limitations of Block’s ‘Overflow’ Argument With Respect to the Possibility of the Study of Consciousness.S. E. R. Cherry - 2022 - Critique 2022 (1):5-11.
    Block argues for a distinction between phenomenal consciousness [PC] and access consciousness [AC] on the basis of his ‘overflow’ argument. Some have thought that this distinction might limit the possibilities of studying consciousness, as it suggests the existence of conscious mental states whose contents can’t be reported. After distinguishing theoretically between PC and AC, I will summarise Block’s overflow argument for their factual distinction. Highlighting that Block makes two related but separate modal claims about the PC/AC distinction, I will show (...)
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  45. An Ethical Framework for Presenting Scientific Results to Policy-Makers.S. Andrew Schroeder - 2022 - Kennedy Institute of Ethics Journal 32 (1):33-67.
    Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though this may sound like (...)
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  46. 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 (...)
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  47. Interpreting Hobbes’s Moral Theory: Rightness, Goodness, Virtue, and Responsibility.S. A. Lloyd - 2021 - Journal of Ethical Reflections 1 (4):69-90.
    The paper argues that the moral philosophy of Thomas Hobbes is unified by a complex conception of reason that imposes consistency norms of both rationality and reasonableness. Hobbes’s conceptions of rightness as reciprocity, and moral goodness as sociability belong to an original and attractive moral theory that is neither teleological nor classically deontological, nor as interpreters have variously argued, subjectivist, contractarian, egoist, or dependent on divine command.
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  48. When Ecology Needs Economics and Economics Needs Ecology: Interdisciplinary Exchange during the Anthropocene.S. Andrew Inkpen & C. Tyler DesRoches - 2020 - Ethics, Policy and Environment 23 (2):203-221.
    Evidence that humans play a dominant role in most ecosystems forces scientists to confront systems that contain factors transgressing traditional disciplinary boundaries. However, it is an open question whether this state of affairs should encourage interdisciplinary exchange or integration. With two case studies, we show that exchange between ecologists and economists is preferable, for epistemological and policy-oriented reasons, to their acting independently. We call this “exchange gain.” Our case studies show that theoretical exchanges can be less disruptive to current theory (...)
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  49. "Deterrence,".S. M. Amadae - 2015 - In Prisoners of Reason: Game Theory and Neoliberal Political Economy. New York: Cambridge University Press. pp. 99-140.
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  50.  20
    What's in a Name? Qualitativism and Parsimony.Daniel S. Murphy - forthcoming - Philosophical Studies.
    According to qualitativism, thisness is not a fundamental feature of reality; facts about particular things are metaphysically second-rate. In this paper, I advance an argument for qualitativism from ideological parsimony. Supposing that reality fundamentally contains an array of propertied things, non-qualitativists employ a distinct name (or constant) for each fundamental thing. I argue that these names encode a type of worldly structure (thisness structure) that offends against parsimony and that qualitativists can eliminate without incurring a comparable parsimony-offense.
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