Results for 'Sherrill S. Sorensen'

966 found
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  1. Kant's Taxonomy of the Emotions.Kelly D. Sorensen - 2002 - Kantian Review 6:109-128.
    If there is to be any progress in the debate about what sort of positive moral status Kant can give the emotions, we need a taxonomy of the terms Kant uses for these concepts. It used to be thought that Kant had little room for emotions in his ethics. In the past three decades, Marcia Baron, Paul Guyer, Barbara Herman, Nancy Sherman, Allen Wood and others have argued otherwise. Contrary to what a cursory reading of the Groundwork may indicate, Kant (...)
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  2. Kant and the king: Lying promises, conventional implicature, and hypocrisy.Roy Sorensen & Ian Proops - 2024 - Ratio 37 (1):51-63.
    Immanuel Kant promised, ‘as Your Majesty's loyal subject’, to abstain from all public lectures about religion. All past commentators agree this phrase permitted Kant to return to the topic after the King died. But it is not part of the ‘at-issue content’. Consequently, ‘as Your Majesty's loyal subject’ is no more an escape clause than the corresponding phrase in ‘I guarantee, as your devoted fan, that these guitar strings will not break’. Just as the guarantee stands regardless of whether the (...)
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  3. Is Pain “All in your Mind”? Examining the General Public’s Views of Pain.Tim V. Salomons, Richard Harrison, Nat Hansen, James Stazicker, Astrid Grith Sorensen, Paula Thomas & Emma Borg - 2022 - Review of Philosophy and Psychology 13 (3):683-698.
    By definition, pain is a sensory and emotional experience that is felt in a particular part of the body. The precise relationship between somatic events at the site where pain is experienced, and central processing giving rise to the mental experience of pain remains the subject of debate, but there is little disagreement in scholarly circles that both aspects of pain are critical to its experience. Recent experimental work, however, suggests a public view that is at odds with this conceptualisation. (...)
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  4. Sorensen's Disappearing Act: A Response.Gregory Fowler & Joshua Spencer - manuscript
    Roy Sorensen has discussed a scenario he calls 'the Disappearing Act', introduced a puzzle based on this scenario, and offered a solution to this puzzle. We argue against Sorensen's solution and offer our own.
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  5. Sorensen's argument against vague objects.Ned Markosian - 2000 - Philosophical Studies 97 (1):1-9.
    In his fascinating and provocative paper, "Sharp Boundaries for Blobs," Roy Sorensen gives several arguments against the possibility of "vague objects," or objects with indeterminate boundaries.1 In what follows, I will examine the main argument given by Sorensen in his paper. This argument has a great deal of initial plausibility. Moreover, I happen to sympathize with its conclusion. Nevertheless, it seems to me that Sorensen's argument fails to establish that conclusion. The purpose of this paper is to (...)
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  6. On Silhouettes, Surfaces and Sorensen.Thomas Raleigh - 2018 - In Thomas Crowther & Clare Mac Cumhaill (eds.), Perceptual Ephemera. New York, NY: Oxford University Press. pp. 194-218.
    In his book “Seeing Dark Things” (2008), Roy Sorensen provides many wonderfully ingenious arguments for many surprising, counter-intuitive claims. One such claim in particular is that when we a silhouetted object – i.e. an opaque object lit entirely from behind – we literally see its back-side – i.e. we see the full expanse of the surface facing away from us that is blocking the incoming light. Sorensen himself admits that this seems a tough pill to swallow, later characterising (...)
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  7. Do desacordo ao paradoxo epistêmico: uma análise da concepção de serviço de autoridade de Raz à luz da teoria do “ponto-cego” de R. Sorensen.Ramiro Ávila Peres - 2019 - Dissertatio 48:242-257.
    Abstract: Using a critical review of the literature, we study a challenge from philosophical anarchism to J. Raz's theory of legal authority: it would be irrational to follow an order with which one disagrees, since it would mean acting against what is considered more justified. Through references from decision theory and epistemology, and deploying examples about tools for assisting in routine decision-making, we sketch two possible answers: first, it may be justifiable to put yourself in a situation that leads to (...)
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  8. It’s Chicken and Eggs again: Vagueness, Quasi-Species, and Evolution.Ludger Jansen - 2006 - Conceptus: Zeitschrift Fur Philosophie 36 (89):71-77.
    Wether the chicken or the egg came first, is not only a mind-boggling but a substantial question. Its answer depends on the biological background theory one assumes. I review recent work on the topic (by Teichmann, Sorensen, Waller and Raatzsch) and resolve some of the disputes between these authors by borrowing from Aristotle the distinction between chicken-producing eggs. I then introduce the concept of a quasi-species to make explicit the vagueness involved in species-terms and prove 13 different priority-claims within (...)
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  9. Semantic pathology and the open pair.James A. Woodbridge & Bradley Armour-Garb - 2005 - Philosophy and Phenomenological Research 71 (3):695–703.
    In Vagueness and Contradiction (2001), Roy Sorensen defends and extends his epistemic account of vagueness. In the process, he appeals to connections between vagueness and semantic paradox. These appeals come mainly in Chapter 11, where Sorensen offers a solution to what he calls the no-no paradox—a “neglected cousin” of the more famous liar—and attempts to use this solution as a precedent for an epistemic account of the sorites paradox. This strategy is problematic for Sorensen’s project, however, since, (...)
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  10. The Problem with Truthmaker-Gap Epistemicism.Mark Jago - 2012 - Thought: A Journal of Philosophy 1 (4):320-329.
    Epistemicism about vagueness is the view that vagueness, or indeterminacy, is an epistemic matter. Truthmaker-gap epistemicism is the view that indeterminate truths are indeterminate because their truth is not grounded by any worldly fact. Both epistemicism in general and truthmaker-gap epistemicism originated in Roy Sorensen's work on vagueness. My aim in this paper is to give a characterization of truthmaker-gap epistemicism and argue that the view is incompatible with higher-order vagueness: vagueness in whether some case of the form ‘it (...)
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  11. Hope, knowledge, and blindspots.Jordan Dodd - 2017 - Synthese 194 (2):531-543.
    Roy Sorensen introduced the concept of an epistemic blindspot in the 1980s. A proposition is an epistemic blindspot for some individual at some time if and only if that proposition is consistent but unknowable by that individual at that time. In the first half of this paper, I extend Sorensen work on blindspots by arguing that there exist blindspots that essentially involve hopes. In the second half, I show how such blindspots can contribute to and impair different pursuits (...)
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  12. Breaking Out of the Circle.Caravello John - 2018 - Argumentation 32 (1):25-35.
    What’s wrong with begging the question? Some philosophers believe that question-begging arguments are inevitably fallacious and that their fallaciousness stems from a shared “formal” deficiency. In contrast, some philosophers, like Robinson deny that begging the question is fallacious at all. And others characterize begging the question as an “informal” fallacy of reasoning that can only be understood with the aid of epistemic notions. Sorensen joins this last camp by offering a powerful argument against both Robinson’s skepticism and fully formal (...)
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  13. What Do We See When We See Total Darkness?Emmanuel Ordóñez Angulo - 2017 - European Journal of Philosophy 25 (4):1039-1061.
    Seeing total darkness is a peculiar perceptual state: in it, the subject is visually aware of something while seeming to fail to be aware of anything. Recent treatments of the topic (Sorensen 2008, Soteriou 2000) leave this particular puzzle unsolved. Here, I attempt a solution. Following Dretske, I begin by suggesting that the perceptual report ‘S sees (total) darkness’ is ambiguous between two distinct kinds of perceptual states: epistemic and non-epistemic. This will lead to an examination of the metaphysics (...)
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  14. Has Vagueness Really No Function in Law?David Lanius - 2013 - Sektionsbeiträge des Achten Internationalen Kongresses der Gesellschaft Für Analytische Philosophie E.V.
    When the United States Supreme Court used the expression “with all deliberate speed” in the case Brown v. Board of Education, it did so presumably because of its vagueness. Many jurists, economists, linguists, and philosophers accordingly assume that vagueness can be strategically used to one’s advantage. Roy Sorensen has cast doubt on this assumption by strictly differentiating between vagueness and generality. Indeed, most arguments for the value of vagueness go through only when vagueness is confused with generality. Sorensen (...)
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  15. Surprise, surprise: KK is innocent.Julien Murzi, Leonie Eichhorn & Philipp Mayr - 2021 - Thought: A Journal of Philosophy 10 (1):4-18.
    The Surprise Exam Paradox is well-known: a teacher announces that there will be a surprise exam the following week; the students argue by an intuitively sound reasoning that this is impossible; and yet they can be surprised by the teacher. We suggest that a solution can be found scattered in the literature, in part anticipated by Wright and Sudbury, informally developed by Sorensen, and more recently discussed, and dismissed, by Williamson. In a nutshell, the solution consists in realising that (...)
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  16. „Kauza Afthonios“: Ilustrácia k otázke správneho riešenia antických paradoxov.Vladimir Marko - 2014 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 1 (20):88-103.
    The article deals with the question of correct reconstruction of and solutions to the ancient paradoxes. Analyzing one contemporary example of a reconstruction of the so-called Crocodile Paradox, taken from Sorensen’s A Brief History of Paradox, the author shows how the original pattern of paradox could have been incorrectly transformed in its meaning by overlooking its adequate historical background. Sorensen’s quoting of Aphthonius, as the author of a certain solution to the paradox, seems to be a systematic failure (...)
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  17. The form of the Benardete dichotomy.Nicholas Shackel - 2005 - British Journal for the Philosophy of Science 56 (2):397-417.
    Benardete presents a version of Zeno's dichotomy in which an infinite sequence of gods each intends to raise a barrier iff a traveller reaches the position where they intend to raise their barrier. In this paper, I demonstrate the abstract form of the Benardete Dichotomy. I show that the diagnosis based on that form can do philosophical work not done by earlier papers rejecting Priest's version of the Benardete Dichotomy, and that the diagnosis extends to a paradox not normally classified (...)
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  18. Gametogênese Animal: Espermatogênese e Ovogênese.Emanuel Isaque Cordeiro da Silva - manuscript
    GAMETOGÊNESE -/- Emanuel Isaque Cordeiro da Silva Instituto Agronômico de Pernambuco Departamento de Zootecnia – UFRPE Embrapa Semiárido -/- • _____OBJETIVO -/- Os estudantes bem informados, estão a buscando conhecimento a todo momento. O estudante de Veterinária e Zootecnia, sabe que a Reprodução é uma área de primordial importância para sua carreira. Logo, o conhecimento da mesma torna-se indispensável. No primeiro trabalho da série fisiologia reprodutiva dos animais domésticos, foi abordado de forma clara, didática e objetiva os mecanismos de diferenciação (...)
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  19. Hormônios e Sistema Endócrino na Reprodução Animal.Emanuel Isaque Cordeiro da Silva & Emanuel Isaque Da Silva - manuscript
    HORMÔNIOS E SISTEMA ENDÓCRINO NA REPRODUÇÃO ANIMAL -/- OBJETIVO -/- As glândulas secretoras do corpo são estudadas pelo ramo da endocrinologia. O estudante de Veterinária e/ou Zootecnia que se preze, deverá entender os processos fisio-lógicos que interagem entre si para a estimulação das glândulas para a secreção de vários hormônios. -/- Os hormônios, dentro do animal, possuem inúmeras funções; sejam exercendo o papel sobre a nutrição, sobre a produção de leite e sobre a reprodução, os hormônios desempenham um primordial papel (...)
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  20. Destigmatizing the Exegetical Attribution of Lies: The Case of Kant.Ian Proops & Roy Sorensen - 2023 - Pacific Philosophical Quarterly 104 (4):746-768.
    Charitable interpreters of David Hume set aside his sprinkles of piety. Better to read him as lying than as clumsily inconsistent. We argue that the attribution of lies can pay dividends in historical scholarship no matter how strongly the theorist condemns lying. Accordingly, we show that our approach works even with one of the strongest condemners of lying: Immanuel Kant. We argue that Kant lied in his scholarly work and even in the first Critique. And we defend the claim that (...)
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  21. Knowledge Based System for Diagnosing Custard Apple Diseases and Treatment.Mustafa M. K. Al-Ghoul, Mohammed H. S. Abueleiwa, Fadi E. S. Harara, Samir Okasha & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (5):41-45.
    There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses (...)
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  22. An Expert System for Depression Diagnosis.Izzeddin A. Alshawwa, Mohammed Elkahlout, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):20-27.
    Background: Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, the way you think and how you act. Fortunately, it is also treatable. Depression causes feelings of sadness and/or a loss of interest in activities once enjoyed. It can lead to a variety of emotional and physical problems and can decrease a person’s ability to function at work and at home. Depression affects an estimated one in 15 adults (6.7%) in any given (...)
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  23. Performance Efficiency of University Education from Students Perspective.Samia A. M. Abdalmenem, Rasha O. Owda, Amal A. Al Hila, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (11):10-24.
    The study aims to identify the efficiency of the university education performance from the perspective of postgraduate and undergraduate students in international and Palestinian universities. The analytical descriptive approach was used for this purpose and the questionnaire was used as a main tool for data collection. The study community consists of: post graduate students, (23850) graduate students and (146355) undergraduate students. The sample of the study was 378 graduate students and 383 undergraduate students. The random stratified sample was used. The (...)
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  24. Smoke Detectors Using ANN.Marwan R. M. Al-Rayes & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):1-9.
    Abstract: Smoke detectors are critical devices for early fire detection and life-saving interventions. This research paper explores the application of Artificial Neural Networks (ANNs) in smoke detection systems. The study aims to develop a robust and accurate smoke detection model using ANNs. Surprisingly, the results indicate a 100% accuracy rate, suggesting promising potential for ANNs in enhancing smoke detection technology. However, this paper acknowledges the need for a comprehensive evaluation beyond accuracy. It discusses potential challenges, such as overfitting, dataset size, (...)
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  25. (1 other version)Can ‘eugenics’ be defended?Francesca Minerva, Diana S. Fleischman, Peter Singer, Nicholas Agar, Jonathan Anomaly & Walter Veit - 2021 - Monash Bioethics Review 39 (1):60-67.
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  26. Predicting Heart Disease using Neural Networks.Ahmed Muhammad Haider Al-Sharif & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):40-46.
    Cardiovascular diseases, including heart disease, pose a significant global health challenge, contributing to a substantial burden on healthcare systems and individuals. Early detection and accurate prediction of heart disease are crucial for timely intervention and improved patient outcomes. This research explores the potential of neural networks in predicting heart disease using a dataset collected from Kaggle, consisting of 1025 samples with 14 distinct features. The study's primary objective is to develop an effective neural network model for binary classification, identifying the (...)
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  27. Papaya Maturity Classifications using Deep Convolutional Neural Networks.Marah M. Al-Masawabe, Lamis F. Samhan, Amjad H. AlFarra, Yasmeen E. Aslem & Samy S. Abu-Naser - 2021 - International Journal of Engineering and Information Systems (IJEAIS) 5 (12):60-67.
    Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...)
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  28. AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks.Trystan S. Goetze - 2024 - Proceedings of the 2024 Acm Conference on Fairness, Accountability, and Transparency:186-196.
    Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about these technologies as harbingers of fully automated futures to come, more pressing is the impact of generative AI on creative labour in the present. Already, business leaders have begun replacing human artistic labour with AI-generated images. In response, the artistic community has launched a protest movement, which argues that AI (...)
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  29. 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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  30. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  31. The Impact of Obstacles to the Application of Knowledge Management to Performance Excellence.Samer M. Arqawi, Amal A. Al Hila, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (10):32-50.
    The aim of this study was to identify the obstacles facing the application of knowledge management and its impact on performance at Palestine Technical University-Kadoorei from the point of view of employees and to detect the differences between the average views of the study sample on the subject of the study according to some variables such as (gender, nature of work, Education Level, specialization, years of experience). The study followed the descriptive analytical method and the questionnaire as a tool for (...)
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  32. Promote the Practice of Global Pioneering Orientation for Employees of the University of Palestine.Nader H. Abusharekh, Mazen J. Al Shobaki, Samy S. Abu-Naser & Suliman A. El Talla - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 4 (9):34-47.
    This study aims to identify the strengthening of the global entrepreneurial orientation practice for employees at the University of Palestine, where the researchers used the descriptive and analytical approach, through a questionnaire distributed to a sample of employees at the University of Palestine, where the size of the study population is (234) employees and the sample size is (117) Employees, of whom (90) employees responded. The study found a set of results, the most important of which are: that there is (...)
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  33. Artificial Neural Network for Forecasting Car Mileage per Gallon in the City.Mohsen Afana, Jomana Ahmed, Bayan Harb, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 124:51-59.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 (...)
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  34. Predictive Analysis of Lottery Outcomes Using Deep Learning and Time Series Analysis.Asil Mustafa Alghoul & Samy S. Abu-Naser - 2023 - International Journal of Engineering and Information Systems (IJEAIS) 7 (10):1-6.
    Abstract: Lotteries have long been a source of fascination and intrigue, offering the tantalizing prospect of unexpected fortunes. In this research paper, we delve into the world of lottery predictions, employing cutting-edge AI techniques to unlock the secrets of lottery outcomes. Our dataset, obtained from Kaggle, comprises historical lottery draws, and our goal is to develop predictive models that can anticipate future winning numbers. This study explores the use of deep learning and time series analysis to achieve this elusive feat. (...)
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  35. Mind the Gap: Autonomous Systems, the Responsibility Gap, and Moral Entanglement.Trystan S. Goetze - 2022 - Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22).
    When a computer system causes harm, who is responsible? This question has renewed significance given the proliferation of autonomous systems enabled by modern artificial intelligence techniques. At the root of this problem is a philosophical difficulty known in the literature as the responsibility gap. That is to say, because of the causal distance between the designers of autonomous systems and the eventual outcomes of those systems, the dilution of agency within the large and complex teams that design autonomous systems, and (...)
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  36. Exit Left: Markets and Mobility in Republican Thought.Robert S. Taylor - 2017 - Oxford, UK: Oxford University Press.
    Contemporary republicanism is characterized by three main ideas: free persons, who are not subject to the arbitrary power of others; free states, which try to protect their citizens from such power without exercising it themselves; and vigilant citizenship, as a means to limit states to their protective role. This book advances an economic model of such republicanism that is ideologically centre-left. It demands an exit-oriented state interventionism, one that would require an activist government to enhance competition and resource exit from (...)
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  37. Classification of A few Fruits Using Deep Learning.Mohammed Alkahlout, Samy S. Abu-Naser, Azmi H. Alsaqqa & Tanseem N. Abu-Jamie - 2022 - International Journal of Academic Engineering Research (IJAER) 5 (12):56-63.
    Abstract: Fruits are a rich source of energy, minerals and vitamins. They also contain fiber. There are many fruits types such as: Apple and pears, Citrus, Stone fruit, Tropical and exotic, Berries, Melons, Tomatoes and avocado. Classification of fruits can be used in many applications, whether industrial or in agriculture or services, for example, it can help the cashier in the hyper mall to determine the price and type of fruit and also may help some people to determining whether a (...)
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  38. Capgras Syndrome: A Novel Probe for Understanding the Neural Representation of the Identity and Familiarity of Persons.William Hirstein & V. S. Ramachandran - 1997 - Proceedings of the Royal Society of London B 264:437-444.
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  39. Classifications of Pineapple using Deep Learning.Amjad H. Alfarra, Lamis F. Samhan, Yasmin E. Aslem, Marah M. Almasawabe & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (12):37-41.
    A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...)
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  40. 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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  41. The Supervenience Solution to the Too-Many-Thinkers Problem.C. S. Sutton - 2014 - Philosophical Quarterly 64 (257):619-639.
    Persons think. Bodies, time-slices of persons, and brains might also think. They have the necessary neural equipment. Thus, there seems to be more than one thinker in your chair. Critics assert that this is too many thinkers and that we should reject ontologies that allow more than one thinker in your chair. I argue that cases of multiple thinkers are innocuous and that there is not too much thinking. Rather, the thinking shared between, for example, persons and their bodies is (...)
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  42. Fintech: Creative Innovation for Entrepreneurs.Youssef M. Abu Amuna, Samy S. Abu-Naser, Mazen J. Al Shobaki & Yasser A. Abu Mostafa - 2019 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 3 (3):8-15.
    The article studies the impact of Fintech on entrepreneurship in Arabic region by using Crowdfunding platforms as the field of study. The article focuses on Arabic Crowdfunding platforms. The population of (12) platforms consist of: individuals, entrepreneurs, investors, employees at Crowdfunding platforms. Descriptive and quantitative approach used in this article, and a questionnaire used as a tool to collect primary data. The results indicate an impact for Fintech on entrepreneurship in general and obvious obstacles to use it widely in Arabic (...)
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  43. Knowledge Management Processes and Their Role in Achieving Competitive Advantage at Al-Quds Open University.Nader H. Abusharekh, Husam R. Ahmad, Samer M. Arqawi, Samy S. Abu Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 3 (9):24-41.
    The study aimed to identify the knowledge management processes and their role in achieving competitive advantage at Al-Quds Open University. The study was based on the descriptive analytical method, and the study population consists of academic and administrative staff in each of the branches of Al-Quds Open University in (Tulkarm, Nablus and Jenin). The researchers selected a sample of the study population by the intentional non-probability method, the size of (70) employees. A questionnaire was prepared and supervised by a number (...)
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  44. A CLIPS-Based Expert System for Brain Tumor Diagnosis.Raja E. Altarazi, Malak S. Hamad, Rawan Elbanna, Dina Elborno & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (6):9-15.
    Brain tumors pose significant challenges in modern healthcare, with accurate and timely diagnosis crucial for determining appropriate treatment strategies. Artificial intelligence has made significant advancements in recent years. Rule-based expert systems (if-then rule-based systems) have emerged as a promising approach for clinical decision-making in brain tumor diagnosis. In this paper, we present "A CLIPS-Based Expert System for Brain Tumor Diagnosis," which leverages a set of 14 if-then rules to diagnose brain tumors with three possible outcomes: 1) Confirm the diagnosis of (...)
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  45. Expert System for Neck Pain Diagnosis.Amjad H. Alfarra, Lamis F. Samhan & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (7):1-8.
    In fact, people get neck problems due to something such as sports or woke and Wrong sleep habits. In this paper an expert system was designed to help users to correctly diagnose neck problems world (muscle spasm, Muscle aches, Meningitis, herniated cervical disc, Fibromyalgia, Cervical spondylosis, Trigger points) with some information about the disease and self-care. Java language was used to design and implement this expert system.
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  46. A Knowledge Based System for Cucumber Diseases Diagnosis.Nora J. H. Al-Saloul, Hadeel A. El-Hamarnah, Ola I. A. LAfi, Hanan I. A. Radwan & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (5):29-45.
    The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with (...)
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  47. Neural Network-Based Water Quality Prediction.Mohammed Ashraf Al-Madhoun & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (9):25-31.
    Water quality assessment is critical for environmental sustainability and public health. This research employs neural networks to predict water quality, utilizing a dataset of 21 diverse features, including metals, chemicals, and biological indicators. With 8000 samples, our neural network model, consisting of four layers, achieved an impressive 94.22% accuracy with an average error of 0.031. Feature importance analysis revealed arsenic, perchlorate, cadmium, and others as pivotal factors in water quality prediction. This study offers a valuable contribution to enhancing water quality (...)
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  48. The Policy of Functional Integration of the Product Planning Team as a Strategy for the Development of the Pharmaceutical Industry in Palestine.Samer M. Arqawi, Amal A. Al Hila, Samy S. Abu-Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 3 (1):61-69.
    This study presented the policy of functional integration of the product planning team as a strategy for the development of the pharmaceutical industry in Palestine. The study population consists of all the workers in companies operating in the field of medicine in Palestine, which are (5) companies producing in the West Bank only for pharmaceuticals used by these companies, which are (296) employees, and was used a simple random sample to choose the sample and size (87) employees of the study (...)
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  49. A Proposed Expert System for Vertigo Diseases Diagnosis.Dina F. Al-Borno & Samy S. Abu-Naser - 2023 - International Journal of Academic Information Systems Research (IJAISR) 7 (6):1-9.
    Vertigo is a common symptom that can result from various underlying diseases and conditions, ranging from benign to severe. Accurate and timely diagnosis of the cause of vertigo is crucial for appropriate management and treatment. In this research, we propose the development of an expert system for vertigo diseases diagnosis, utilizing artificial intelligence (AI) and the proposed Expert System which was produced to help assist healthcare professionals in diagnosing the cause of vertigo based on a patient's symptoms, medical history, and (...)
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  50. Chances of Survival in the Titanic using ANN.Udai Hamed Saeed Al-Hayik & Samy S. Abu-Naser - 2023 - International Journal of Academic Engineering Research (IJAER) 7 (10):17-21.
    Abstract: The sinking of the RMS Titanic in 1912 remains a poignant historical event that continues to captivate our collective imagination. In this research paper, we delve into the realm of data-driven analysis by applying Artificial Neural Networks (ANNs) to predict the chances of survival for passengers aboard the Titanic. Our study leverages a comprehensive dataset encompassing passenger information, demographics, and cabin class, providing a unique opportunity to explore the complex interplay of factors influencing survival outcomes. Our ANN-based predictive model (...)
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