In his early experimental work with Suppes, Davidson adopted rationality assumptions, not as necessary constraints on interpretation, but as practical conceits in addressing methodological problems faced by experimenters studying decision making under uncertainty. Although the content of their theory has since been undermined, their methodological approach—a Galilean form of methodological rationalism—lives on in contemporary psychological research. This article draws on Max Weber’s verstehen to articulate an account of Galilean methodological rationalism; explains how anomalies faced by Davidson’s early experimental work gave (...) rise to his later, canonical claims about rationality and interpretation; and reclaims this Galilean framework for use in contemporary psychological research. (shrink)

In her 2004 book Carol Gould addresses the fundamental issue of democratizing globalization, that is to say of finding ways to open transnational institutions and communities to democratic participation by those widely affected by their decisions. The book develops a framework for expanding participation in crossborder decisions, arguing for a broader understanding of human rights and introducing a new role for the ideas of care and solidarity at a distance. Reinterpreting the idea of universality to accommodate a multiplicity of (...) cultural perspectives, the author takes up a number of applied issues, including the persistence of racism, cultural rights, women's human rights, the democratic management of firms, the use of the Internet to enhance political participation, and the importance of empathy and genuine democracy in understanding terrorism and responding to it. Accessibly written with a minimum of technical jargon this is a major contribution to political philosophy. (shrink)

All the cards seem to be stacked against belief in immortality. Nonetheless, the resources of particular religious traditions may avail where generic philosophical solutions fall short. With attention to the boredom and narcissism critiques, intimations of deathlessness in Śāntideva's radical altruism, and recent Christian debates on the soul and the intermediate state, I propose two criteria for a coherent religion-specific belief in immortality: (1) the belief is supported by a fully realized religious tradition, (2) the belief satisfies the demand for (...) self-transcendence as well as for self-preservation. Where self-transcendence and self-preservation are kept in balance, and where the whole idea rests upon the lattice-work of a fully realized religious tradition, immortality is a fitting object of belief. Moreover, such belief is compatible with considerable speculative freedom concerning matter and spirit, body and soul, and personal identity over time. (shrink)

Introduction to Xenophon's work and overview of his philosophy. _Greece and Rome_ New Surveys in the Classics Vol 48.

On the formation of the School of Interdisciplinary Studies at the University of Glasgow. -/- When the University of Glasgow’s new 'Crichton College' opened its doors in September 1999, its small staff had that rare opportunity in an academic’s career to launch a new curriculum based on clearly enunciated ideals. In the following six years under the direction of Professor Rex C. Taylor, those ideals remained firm even as numbers grew and external circumstances mutated. The theme of this book concerns (...) the ideas, activities and problems – intellectual, curricular and administrative – that shaped the University of Glasgow Crichton Campus during its first six years. Its dozen contributors provide varied perspectives on the problems of creation. (shrink)

This paper is an attempt to identify certain consonances between contemporary liberalism and classical pragmatism. I identify four of the most trenchant criticisms of classical liberalism presented by pragmatist figures such as James, Peirce, Dewey, Addams, and Hocking: that liberalism overemphasizes negative liberty, that it is overly individualistic, that its pluralism is suspect, that it is overly abstract. I then argue that these deficits of liberalism in its historical incarnations are being addressed by contemporary liberals. Contemporary liberals, I show, have (...) taken on board a surprising number of classical pragmatist insights and have responded to a surprising number of classical pragmatist criticisms. I thus argue that both contemporary pragmatism and contemporary liberalism have much to gain by joining forces. (shrink)

In this paper I consider the possibility that failing to fulfill the Kantian obligation to protect one’s rational nature might actually vitiate future instances of this obligation. I respond to this dilemma by defending a novel interpretation of Kant’s views on the relation between the value we have and the respect we are owed. I argue, contra the received view among Kant scholars, that the feature in virtue of which someone has unconditional and incomparable value is not the same feature (...) in virtue of which she is owed the respect that constrains how she may be treated. So, even though someone who fails to attempt to protect her rational nature fails to respect herself in the right way, and even though this moral failing does make her lose a certain kind of value, her obligations to respect herself do not go away. (shrink)

Ce dossier traite de l‘influence et de l‘impact de l‘amélioration humaine sur notre société ainsi que sur notre conception de ce que c‘est que d‘être humain. Quels enjeux les technosciences engendrent-elles ? D‘où vient ce besoin de vouloir s‘améliorer ? Quelles libertés a-t-on face à ces nouvelles technologies? Et quelle place tient l‘humain dans ce débat ?

Ce dossier traite du concept de responsabilité en tant qu‘il constitue l‘une des bases d‘une réflexion éclairée en ce qui concerne les enjeux éthiques engen- drés par les biotechnologies. Qu‘entend-on par le concept de responsabilité ? L‘être humain est-il responsable des artéfacts qu‘il crée ? Si oui, de quel type de responsabilité s‘agit-il ? N‘est-elle que d‘ordre juridique ? Ou également d‘ordre éthique ou morale ? Comment et qui détermine l‘acceptation ou le re- fus des possibilités que nous offrent les (...) biotechnologies ? Qui est respon- sable des innovations produites par les découvertes des scientifiques, et à l‘égard de qui ? (shrink)

On définit souvent la philosophie comme l’« amour de la sagesse ». En grec, le terme « philosophe » qui signifie « ami de la sa- gesse » (philós= ami, sophía= sagesse) se rapporte à une personne qui aspire à une connaissance globale des choses. (1) Mais que sait-on vraiment de la philosophie? Comment procède-t-elle, à quels thèmes s‘intéresse-t-elle?

The Protein Ontology (PRO; http://proconsortium.org) formally defines protein entities and explicitly represents their major forms and interrelations. Protein entities represented in PRO corresponding to single amino acid chains are categorized by level of specificity into family, gene, sequence and modification metaclasses, and there is a separate metaclass for protein complexes. All metaclasses also have organism-specific derivatives. PRO complements established sequence databases such as UniProtKB, and interoperates with other biomedical and biological ontologies such as the Gene Ontology (GO). PRO relates to (...) UniProtKB in that PRO’s organism-specific classes of proteins encoded by a specific gene correspond to entities documented in UniProtKB entries. PRO relates to the GO in that PRO’s representations of organism-specific protein complexes are subclasses of the organism-agnostic protein complex terms in the GO Cellular Component Ontology. The past few years have seen growth and changes to the PRO, as well as new points of access to the data and new applications of PRO in immunology and proteomics. Here we describe some of these developments. (shrink)

There has been a growing concern over establishing norms that ensure the ethically acceptable and scientifically sound conduct of clinical trials. Among the leading norms internationally are the World Medical Association's Declaration of Helsinki, guidelines by the Council for International Organizations of Medical Sciences, the International Conference on Harmonization's standards for industry, and the CONSORT group's reporting norms, in addition to the influential U.S. Federal Common Rule, Food and Drug Administration's body of regulations, and information sheets by the Department of (...) Health and Human Services. There are also many norms published at more local levels by official agencies and professional groups.Any account of international standards should cover both scientific and ethical norms at once – the two are conceptually intertwined. Recent sources recognize that “[s]cientifically unsound research on human subjects is unethical in that it exposes research subjects to risks without possible benefit.”. (shrink)

Guided by Hegel’s claim that rights are actualized only in the ethical life of the modern state, and that the “abstract spirit of Kant’s cosmopolitanism” is pervasive in Carol Gould’s Globalizing Democracy and Human Rights, Schaff raises a variety of moral, political, and ontological objections to her account of rights. He argues that if we embrace with Gould the idea that people have rights in abstraction, in political communities where they are not practically realized, we unwittingly play into the (...) hands of imperialism cloaked in human rights language—as exemplified by the rhetoric justifying recent U.S. interventions in Afghanistan and Iraq. (shrink)

Eve Sedgwick critiques paranoid methodologies for denying a plurality of affective approaches. Instead, she emphasizes affects such as hope, but her description of hope's openness does not address how hope can avoid discourses that appear to offer amelioration while deceptively masking subjugation. In this context, I will argue that suspicion in feminist political philosophy, as shown in the earlier work of Carole Pateman and Judith Butler, provides a cautious approach toward hope's openness without precluding hope altogether. This analysis will reconsider (...) the domination and empowerment debates in relation to affect, pointing toward compatibilities between the two perspectives. First, I will expand Sedgwick's analysis of hope to explain its potential as a feminist political affect. Second, I will examine the techniques of suspicion employed by Pateman and Butler and how they risk denying possibilities for hope. This will lead to a discussion of how Amy Allen's theory of power indicates that suspicion is compatible with hope. Finally, I will explain how the suspicious approaches of Pateman and Butler illuminate hope as an inherently risky, fragile project. This will show that suspicion does not necessarily take up the totalizing position of paranoia, but rather can productively ensure that hope is not led astray. (shrink)

In this paper I draw together the notion of the absent referent as proposed by Carol J. Adams, and the notions of literal and symbolical sacrifice by eating the other — or ingestion — advanced by Jacques Derrida, to characterize how animals are commonly perceived, which ultimately forbids productive arguments for vegetarianism. I discuss animals as being literally and definitionally absent referents, and I argue, informed by Derrida’s philosophy, that it is impossible to aim at turning them into present (...) referents without reinforcing symbolic ingestion by linking symbolic ingestion to epistemic appropriation or conceptualization. With this, I highlight the ethical importance of discussing symbolic ingestion in animal philosophy. (shrink)

This article shows that Paul Ricoeur and Carol Gilligan develop their theories of the self by borrowing critically from Freudian aesthetics, adding an ethical dimension missing in it. Ricoeur critiques, completes and endorses the Freudian interpretation of the Oedipus, while Gilligan rejects it, since she considers it distorted by patriarchal ideology. Both are reclaiming the Freudian theory of culture by focusing on what Freud called the «life drive» as opposed to the «death drive». But Ricoeur does not pay the (...) same attention as Gilligan to patriarchal ideology conveyed by Greek tragedies. Thus, his ethics remains deeply rooted in the language of the tragic conflict (Oedipus, Antigone), while Gilligan’s ethics seeks to renew the language of pleasure (Cupid and Psyche). -/- ----------- Cet article montre que Paul Ricœur et Carol Gilligan développent leurs théories du soi en puisant de manière critique à l’esthétique freudienne, y ajoutant la dimension éthique manquante. Si Ricœur critique, complète et entérine l’interprétation freudienne de l’Œdipe, Gilligan se distingue davantage de Freud, qu’elle juge biaisé par l’idéologie patriarcale. Tous deux se réapproprient la théorie freudienne de la culture en mettant l’accent sur ce que Freud appelait la «pulsion de vie» par opposition à la «pulsion de mort». Mais comme Ricœur n’accorde pas la même attention que Gilligan à l’idéologie patriarcale véhiculée par les tragédies grecques, son éthique reste profondément enracinée dans le langage du conflit tragique (Œdipe, Antigone), alors que celle de Gilligan cherche à renouveler le langage du plaisir (Cupidon et Psyché). (shrink)

I argue that Carol Gilligan's claims about female moral development reproduce and encourage the oppression of women. A comparison of her descriptions of abortion-decision study cases with those of Mary F. Belenky (whose dissertation recorded more data from the same interviews than did Gilligan's book), show troubling discrepancies. Gilligan's book is more literature than science, retelling women's stories in compelling--but misleading--ways.

Augustine′s conversion to Christianity in A.D. 386 is a pivotal moment not only in his own life, but in Christian and world history, for the theology of Augustine set the course of theological and cultural development in the western Christian church. But to what exactly was Augustine converted? Scholars have long debated whether he really converted to Christianity in 386, whether he was a Platonist, and, if he adhered to both Platonism and Christianity, which dominated his thought. The debate of (...) the last thirteen decades spans an immense body of literature in multiple languages. In this literature, four major views on Augustine′s conversion may be discerned. The first view is associated with Gaston Boissier and Adolph von Harnack, and was famously championed by Prosper Alfaric: that Augustine in 386 converted to neo-Platonism but not to Christianity. Second, there is the view recently promoted by Catherine Conybeare: that Augustine in 386 converted to Christianity and rejected neo-Platonism. Third, there is the view that he converted to Christianity and was also a neo-Platonist; the most famous adherents of this view are Robert J. O′Connell and Pierre Courcelle. Finally, there is the view recently promoted by Carol Harrison: that Augustine committed to Christianity in 386, yet did not utterly reject neo-Platonism; rather, he aimed to develop a Christian faith that was informed by neo-Platonic insight. In this article, I first explain and distinguish these four general views, and then I explain why I prefer the fourth view. -/- More Info: This is the pre-peer reviewed version of Boone, Mark, "The Role of Platonism in Augustine's 386 Conversion to Christianity," Religion Compass 9.5 (May 2015), 151-61. This article has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/rec3.12149/abstract. (shrink)

This study presents a reconsideration of Levinas’s concept of the feminine. This reconsideration facilitated by a philosophically informed analysis of Levinas’s Talmudic readings on that subject. The innovation of this research is based on the methodology which combined the two corpuses of Levinas’ writings as important parts of his thought. Two main phenomena are derived from Levinas’ Talmudic readings and arouse main principles of his ethics. In the hearth of the discussion on Eros stated the differentiation of feminine and masculine (...) in Levinas’ thought, and its implication of gender and Ethics of otherness. In the center of Levinas’ terminology of maternity stated his phenomenology of pregnancy, and its ethical implication on responsibility to the other. The extreme responsibility committed to the subject since there is a immanent conflict between parents and their child. The characters of Leivnas’ discussion which described here are obligating the reconsideration of the philosophical question: are Levinas’ concepts of the feminine exclusive to the women? -/- The subjects of Levinas’s exploration of the feminine, in this view, emerge from his Talmudic readings, but his phenomenological analysis of those very subjects goes beyond what can be found in those readings. Analyzing the meaning of the difference between the sexes—the topic of one of the Talmudic readings—leads Levinas to a wider phenomenological treatment of the status of woman that does not bypass the feminine voice. Delving into the Talmudic concept of rodef (persecutor) as applied to the relationship of fetus and mother leads Levinas to a phenomenological analysis of the concept of maternity and readiness to accept responsibility (even suffering) for the Other. Those two discussions lead us to a rereading of Levinas’s essay “Phenomenology of Eros” and enable us to rebut the charge that in that essay Levinas presents only a masculine voice. Levinas’s concept of “responsibility” will be seen to resemble the feminist psychologist Carol Gilligan’s concept of “care.” We must then reconsider whether Levinas’s concept of the feminine is exclusively the domain of women. -/- . (shrink)

This is a review essay on Carol Rovane's book The Metaphysics and Ethics of Relativism. I outline the main line of argument, clarify the central claim, raise some questions about some of the arguments, and suggest some limits on the extent to which one could see another's views as right but not accept them.

While not ignored, the question of the role of mothers in the schema of political rule in Hobbes is not often taken up. Distinct from his contemporaries, Hobbes acknowledges only minimal differences between men and women, and argues that, because maternal protection and nourishment are necessary for its survival, the mother dominates the infant in the state of nature. How to explain that the mother loses this power of domination in the social or political order? Hobbes does not explicitly say. (...) However, some possibilities can be extracted from his texts. -/- Here, I will attempt to explain the loss of maternal power by examining Hobbes's discourse on the different modes of dominion and political rule in "De Cive" and "Leviathan." I will concentrate on their differences, drawing from Yves Charles Zarka's reading of them. Then I will approach the question of the mother and her position in the hierarchy of servitude in each of these texts, appealing to Carole Pateman's analyses as well as Zarka's. Finally, I will present what role the mother's dominion over her children plays in Hobbes's schema. (shrink)

Das Thema des vorliegenden Aufsatzes ist Georg Simmels »relativistische[s] Weltbild« , anhand dessen die Prinzipien seiner Kulturphilosophie dargelegt werden. Im ersten Teil wird die systematische Fragestellung der Philosophie des Geldes im historischen Kontext rekonstruiert. Dabei steht der philosophiegeschichtliche Zusammenhang zwischen dem Wertproblem und der Debatte um den Relativismus im Zentrum. Im zweiten Teil wird Simmels kulturphilosophische Lösung des Wertproblems, durch die das Geld zum Paradigma seines Relativismus wird, systematisch analysiert. Der dritte Teil setzt sich mit dem Prinzip der kulturellen Formung (...) auseinander. Am Beispiel der Formwelt Erkenntnis wird die Grundlage von Simmels Kulturtheorie in toto dargelegt. Der vierte Teil wendet sich der Weiterentwicklung von Simmels Kulturtheorie in seiner späten Lebensphilosophie zu. Dabei wird einerseits seine Theorie der kulturellen Formwelten analysiert, und andererseits deren Integration in eine umfassende Dialektik des Lebens nachvollzogen. Im fünften Teil wird die Frage gestellt, ob Simmel aus heutiger Sicht als ein Relativist zu bezeichnen ist. Dabei wird argumentiert, dass Simmels kulturphilosophische Position große Ähnlichkeiten mit dem konzeptuellen Relativismus hat, der gegenwärtig von Carol Rovane vertreten wird. Deshalb plädiere ich dafür Simmel in der gegenwärtigen Debatte um den Relativismus ernster zu nehmen. (shrink)

This chapter examines the relation of the Human Development or Capability Approach to liberal political theory. If development is enhancement of capabilities, then this chapter adds that development is human and social: development includes (1) the creation of value as a social process that is (2) a dialectical product of people in their relations. Specifically: (1) The place of the individual within political theory must be revised if the political subject is, as Carol Gould argues, an “individual-in-relations” rather than (...) an autonomous individual agent. (2) New possibilities for valuation are also relational: value is created dialectically along with those possibilities through processes that may be modeled on Denis Goulet’s account of dialectical recognition. These axiological claims hold importance for the place of democratic participation in just politics and development. Building upon David Crocker’s work, this chapter argues that just politics may require a participative approach that is undercut by Martha Nussbaum’s suggestion that a list of central capabilities should guide the drafting of national constitutions. The assimilation of the indigenous concept sumak kawsay to the ideal of buen vivir within Ecuador’s constitution is illustrative, suggesting that prior specification (a list) may limit and distort the dialectical generation of new capabilities. (shrink)

This paper is a response to Val Plumwoods call for writers to engage in ‘the struggle to think differently’. Specifically, she calls writers to engage in the task of opening up an experience of nature as powerful and as possessing agency. I argue that a critical component of opening up who or what can be understood as possessing agency involves challenging the conception of time as linear, externalised and absolute, particularly in as much as it has guided Western conceptions of (...) process, change and invention. I explore this through anthropologist Carol Greenhouse's claim that social conceptions of time can be read as theories of agency. Thus, in seeking to respond to Plumwood’s call to think differently, the question becomes: what kind of writing would enable a fundamental re-thinking of agency without, however, ignoring the way Western notions of agency have been shaped by linear accounts of time? I look to Jacques Derrida's work as one example. I first locate the possibility of re-writing time and agency in the experiential aspects of his writing, which I argue interrupt both the reader’s sense of agency and linear models of reading. But further, I connect Derrida’s work directly with Plumwood’s by examining how his deconstruction of the Western concept of invention may enable another account of creative change that could reshape what counts as ‘agency’ within the Anthropocene. (shrink)

Olympe de Gouges is known primarily for La Déclaration des droits de la femme et de la citoyenne (1791), which is her response to the Declaration of the Rights of Man, adopted in 1789 by the National Assembly. Carol Sherman's book, Reading Olympe de Gouges, turns our attention away from normative principles of La Déclaration and directs it toward the ways that de Gouges's other texts challenge the normativity of the dominant social imaginaries of the time. Sherman’s book is (...) required reading for anyone wanting to participate in the debates about whether de Gouges deserves a place the Panthéon, but also in broader discussions about the history of feminism and the French Revolution. (shrink)

In this paper I argue that, in addition to having an obligation to resist the oppression of others, people have an obligation to themselves to resist their own oppression. This obligation to oneself, I argue, is grounded in a Kantian duty of self-respect.

Psychologists and philosophers have not yet resolved what they take implicit attitudes to be; and, some, concerned about limitations in the psychometric evidence, have even challenged the predictive and theoretical value of positing implicit attitudes in explanations for social behavior. In the midst of this debate, prominent stakeholders in science have called for scientific communities to recognize and countenance implicit bias in STEM fields. In this paper, I stake out a stakeholder conception of implicit bias that responds to these challenges (...) in ways that are responsive to the psychometric evidence, while also being resilient to the sorts of disagreements and scientific progress that would not undermine the soundness of this call. Along the way, my account advocates for attributing collective (group-level) implicit attitudes rather than individual-level implicit attitudes. This position raises new puzzles for future research on the relationship (metaphysical, epistemic, and ethical) between collective implicit attitudes and individual-level attitudes. (shrink)

Under the traditional system of peer-reviewed publication, the degree of prestige conferred to authors by successful publication is tied to the degree of the intellectual rigor of its peer review process: ambitious scientists do well professionally by doing well epistemically. As a result, we should expect journal editors, in their dual role as epistemic evaluators and prestige-allocators, to have the power to motivate improved author behavior through the tightening of publication requirements. Contrary to this expectation, I will argue that the (...) publication bias literature in academic medicine demonstrates that editor interventions have had limited effectiveness in improving the health of the publication and trial registration record, suggesting that much stronger interventions are needed. (shrink)

I motivate and articulate a dispositional account of aversive racism. By conceptualizing and measuring attitudes in terms of their full distribution, rather than in terms of their mode or mean preference, my account of dispositional attitudes gives ambivalent attitudes (qua attitude) the ability to predict aggregate behavior. This account can be distinguished from other dispositional accounts of attitude by its ability to characterize ambivalent attitudes such as aversive racism at the attitudinal rather than the sub-attitudinal level and its deeper appreciation (...) of the analogy between traits and attitudes. (shrink)

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, (...) and class imbalance, and presents strategies employed to address these issues. Additionally, the paper emphasizes the importance of alternative evaluation metrics, including precision, recall, and F1-score, to assess the model's performance comprehensively. Detailed information regarding the model architecture, data preprocessing, and hyperparameter tuning is provided to enhance the reproducibility of the research. The study also discusses ethical considerations and the implications of false positives and false negatives in smoke detection applications. While achieving 100% accuracy is a notable accomplishment, this paper calls for cautious interpretation and further validation in real-world settings. It concludes by highlighting areas for future research and improvement in smoke detection technology, emphasizing the need for practical deployment and the reduction of false alarms. (shrink)

Representing species-specific proteins and protein complexes in ontologies that are both human and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because (...) proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes. We describe here how the PRO Consortium is meeting the challenge of representing species-specific protein complexes, how protein complex representation in PRO supports annotation of protein complexes and comparative biology, and how PRO is being integrated into existing community bioinformatics resources. The PRO resource is accessible at http://pir.georgetown.edu/pro/. (shrink)

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 (...) presence or absence of heart disease. The neural network architecture includes an input layer, a hidden layer, and an output layer, designed to capture intricate relationships within the dataset. Rigorous training and validation processes, accompanied by data preprocessing steps, ensure the model's robustness and generalization capabilities. The results demonstrate promising performance, with an accuracy of 92% and an average error of 0.062. Moreover, an analysis of feature importance highlights key predictors, including "oldpeak," "thalach," "trestbps," "ca," "thal," "cp," "chol," "sex," "restecg," "age," "slope," "fbs," and "exang." This research contributes to the field of predictive healthcare by leveraging neural networks to enhance heart disease prediction. The developed model offers the potential for early identification of individuals at risk, facilitating timely medical interventions and ultimately improving public health. Further exploration of machine learning techniques in healthcare promises to reshape disease prediction and prevention strategies. (shrink)

Abstract: The Spotify Status Dataset is a valuable resource that provides real-time insights into the operational status and performance of Spotify, a popular music streaming platform. This dataset contains a wide array of information related to server uptime, user activity, service disruptions, and more, serving as a critical tool for both Spotify's internal monitoring and the broader data analysis community. As digital services like Spotify continue to play a central role in music consumption, understanding the platform's status becomes crucial for (...) ensuring a seamless user experience. This dataset offers numerous research and analysis opportunities, whether you're interested in exploring service availability trends or investigating user behavior patterns during service disruptions. This study highlights the significance of the Spotify Status Dataset, its potential applications, and the valuable insights it can offer to various stakeholders, from Spotify engineers working to enhance service reliability to researchers studying the effects of downtime on user engagement. It invites readers on a journey through this dataset to uncover the secrets of Spotify's operational status and its impact on music enthusiasts worldwide. (shrink)

Abstract Alzheimer's disease has spread insanely throughout the world. Early detection and intervention are essential to improve the chances of a positive outcome. This study presents a new method to predict a person's likelihood of developing Alzheimer's using a neural network model. The dataset includes 373 samples with 10 features, such as Group,M/F,Age,EDUC, SES,MMSE,CDR ,eTIV,nWBV,Oldpeak,ASF.. A four-layer neural network model (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 98.10% and an average error (...) of 0.01. This study provides a valuable tool for early detection and intervention of Alzheimer's, thus contributing to the field of health and medicine. (shrink)

In this essay, I consider the question of whether women have an obligation to confront men who sexually harass them. A reluctance to be guilty of blaming the victims of harassment, coupled with other normative considerations that tell in favor of the unfairness of this sort of obligation, might make us think that women never have an obligation to confront their harassers. But 1 argue that women do have this obligation, and it is not overridden by many of the considerations (...) that can override other obligations to confront wrongdoers. (shrink)

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. (...) Through rigorous experimentation and data-driven approaches, we seek to determine the viability of AI in the realm of lottery predictions. Our findings reveal both the promise and limitations of AI in this context, shedding light on the complexities of lottery data and the potential need for quantum computing as a last resort. (shrink)

Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms.

Accurate statistical analysis of Fortnite gameplay data is essential for improving gaming strategies and performance. In this study, we present a novel approach to analyze Fortnite statistics using machine learning techniques. Our dataset comprises a wide range of gameplay metrics, including eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. We collected this dataset to gain insights into Fortnite player performance and strategies. The proposed model employs advanced (...) machine learning algorithms and data preprocessing techniques. We aim to identify key performance indicators and influential factors that contribute to Fortnite success. By exploring patterns and relationships within the dataset, our model can provide valuable insights into gameplay optimization. Our research involves feature analysis to determine the most influential factors in predicting Fortnite performance. These factors include eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. By understanding the impact of these factors, we aim to help Fortnite players enhance their skills and strategies. Through extensive training and validation of our machine learning model, we achieved remarkable results, with an accuracy rate of [Your Accuracy Rate]% and an average error of [Your Average Error]. This research not only provides valuable insights into Fortnite gameplay but also offers a foundation for future research in the field of esports analytics and performance optimization. (shrink)

Kidney stones pose a significant health concern, and early detection can lead to timely intervention and improved patient outcomes. This research endeavours to predict the presence of kidney stones based on urine analysis, utilizing a neural network model. A dataset of 552 urine specimens, comprising six essential physical characteristics (specific gravity, pH, osmolarity, conductivity, urea concentration, and calcium concentration), was collected and prepared. Our proposed neural network architecture, featuring three layers (input, hidden, output), was trained and validated, achieving an impressive (...) accuracy of 98.67% and an average error of 0.012. In addition to model performance, feature importance analysis was conducted to determine the most influential factors in predicting kidney stone presence. The findings underscore the significance of urea concentration, specific gravity, calcium concentration, conductivity, osmolarity, and pH as key indicators. This research contributes to the early diagnosis of kidney stones and demonstrates the potential of neural networks in medical diagnostics. The clinical implications of these findings are discussed, emphasizing the importance of timely intervention in managing kidney stone-related health issues. (shrink)

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 (...) monitoring and decision-making for stakeholders and policymakers. (shrink)

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 (...) achieved an accuracy rate of 78%, shedding light on the underlying patterns within the data. However, this paper underscores the multifaceted nature of survival prediction and acknowledges several challenges. These include missing data imputation, feature engineering, and the inherent noise within historical datasets. We further discuss the importance of model evaluation metrics, showcasing not only accuracy but also precision, recall, and F1-score as essential indicators of predictive performance. The research paper meticulously outlines the architecture of the ANN model, emphasizing the key hyperparameters, activation functions, and regularization techniques employed in model development. Additionally, we address ethical considerations related to data handling and potential biases within the dataset. While our achieved accuracy is a notable achievement, this study emphasizes the importance of interpreting the results with due caution. It underscores the need for a holistic perspective that considers the practical implications of false positives and false negatives, especially in the context of a disaster scenario. In conclusion, this research contributes to our understanding of survival prediction in historical events like the Titanic disaster using modern machine learning techniques. It calls for further exploration and refinement of predictive models, with a focus on enhancing the interpretability and generalizability of such models to real-world applications. (shrink)

Abstract: This research focuses on utilizing Artificial Neural Networks (ANNs) to predict Audit Risk accurately, a critical aspect of ensuring financial system integrity and preventing fraud. Our dataset, gathered from Kaggle, comprises 18 diverse features, including financial and historical parameters, offering a comprehensive view of audit-related factors. These features encompass 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' 'History_score,' 'score,' and 'Risk,' with a total of 774 samples. Our proposed neural network architecture, consisting of three (...) layers (1 input, 1 hidden, and 1 output), forms the core of this study. While it may seem simple, the power of ANNs lies not in complexity but in their ability to uncover intricate data patterns. The model underwent rigorous training and validation, resulting in remarkable outcomes—an accuracy of 100% and an average error rate of 0.000015. In addition to performance metrics, our research investigates feature importance, revealing the key contributors to Audit Risk prediction. Notably, 'Sector_score,' 'PARA_A,' 'SCORE_A,' 'PARA_B,' 'SCORE_B,' 'TOTAL,' 'numbers,' 'marks,' 'Money_Value,' 'District,' 'Loss,' 'Loss_SCORE,' 'History,' and 'History_score' emerged as the most influential factors, shedding light on the elements crucial for precise risk assessment. This study advances Audit Risk prediction models and highlights the potential of ANNs in strengthening financial system integrity and fraud prevention. The insights gained from our findings offer practical guidance for stakeholders in the audit and financial sectors. (shrink)

Abstract: Rice, as a paramount staple crop worldwide, sustains billions of lives. Precise classification of rice types holds immense agricultural, nutritional, and economic significance. Recent advancements in machine learning, particularly Artificial Neural Networks (ANNs), offer promise in enhancing rice type classification accuracy and efficiency. This research explores rice type classification, harnessing neural networks' power. Utilizing a rich dataset from Kaggle, containing 18,188 entries and key rice grain attributes, we develop and evaluate a neural network model. Our neural network, featuring a (...) single hidden layer, achieves remarkable results—a staggering 100% accuracy and a minute average error rate of 0.000001. Beyond performance metrics, we delve into the intricacies of rice type classification through feature importance analysis. The most influential features—'id,' 'Area,' 'MajorAxisLength,' 'MinorAxisLength,' 'Eccentricity,' 'ConvexArea,' 'EquivDiameter,' 'Extent,' 'Perimeter,' 'Roundness,' and 'AspectRatio'—uncover the physiological traits underpinning accurate rice classification. This research contributes to advancing rice classification methods and highlights the potential of ANNs in optimizing agricultural practices, ensuring food safety, and bolstering global trade. (shrink)

In this paper we show how a student can learn the basics of the system databases using (W3school CSS) which was built as intelligent tutoring educational system by using the authoring tool called (ITSB). The learning material contains CSS and HTML. We divided the material in a group of lessons for novice learner which combines relational system and lessons in the process of learning. The student can learn using example of CSS, and types of CSS color. Furthermore, the intelligent tutoring (...) system supports not only lessons; but exercises of different difficult levels for each lesson. When a student finish successfully the first difficulty level in a lesson, the student is allowed to move to the next difficulty level of the exercises of the lesson. (shrink)

Abstract Heart Attack is the Cardiovascular Disease (CVD) which causes the most deaths among CVDs. We collected a dataset from Kaggle website. In this paper, we propose an ANN model for the predicting whether a patient has a heart attack or not that. The dataset set consists of 9 features with 1000 samples. We split the dataset into training, validation, and testing. After training and validating the proposed model, we tested it with testing dataset. The proposed model reached an accuracy (...) of 98.01% on the Heart Disease Dataset. (shrink)

heart attack analysis & prediction dataset 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 304 samples with 11 features, such as age, sex, chest pain type, Trtbps, cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise-induced angina, oldpeak, ST_Slope, and HeartDisease. (...) A neural network model with four layers (1 input, 2 hidden, 1 output) was trained on the dataset and achieved an accuracy of 88% and an average error of 0078296. The most influential factors in heart failure prediction were found to be oldpeak, ST_Slope, sex, fastingBS, chestPainType, exerciseAngina, cholesterol, restingBP, maxHR, restingBP, and age. This study provides a valuable tool for early detection and intervention of heart failure, thereby contributing to the field of health and medicine. (shrink)

Abstract: The emergence of the novel coronavirus (COVID-19) in 2019 has presented the world with an unprecedented global health crisis. The rapid and widespread transmission of the virus has strained healthcare systems, disrupted economies, and challenged societies. In response to this monumental challenge, the intersection of technology and healthcare has become a focal point for innovation. This research endeavors to leverage the capabilities of Artificial Neural Networks (ANNs) to develop an advanced predictive model for forecasting the spread of COVID-19. It (...) involves the collection, analysis, and integration of diverse datasets encompassing epidemiological, clinical, and social factors that influence the virus's dissemination. (shrink)

The production of Ordinary Portland Cement (OPC) causes havoc to the environment due to the emission of CO 2 as well mining also results in unrecoverable loss to nature. Estimated carbon This Project deals with the details of optimized Mix Design for normal strength concrete using packing density method. Dredged Marine Sand (DMS) which is produced during the operation of dredging. DMS is mixed with M-Sand in different ratios & Packing density is obtained using sieve analysis experimentally. This ratio’s of (...) different fine aggregate is introduced into the geopolymer concrete is the concrete in which alternate material for cement is used also alkali activated solution is used and Concrete made up of cement, aggregates, water & additives is the world's most consumed construction material since it is found to be more versatile, durable and reliable. Concrete is the second most consumed material after water which required large quantities of Portland cementemissions from cement production in 1994 were 307 MtC, 160 MtC from calcination, and 147 MtC from energy use which account for 5% of 1994 global anthropogenic CO 2 emissions. (shrink)

Philosophers and psychologists sometimes categorize emotions like surprise and curiosity as specifically epistemic. Is there some reasonably unified and interesting class of emotions here? If so, what unifies it? This paper proposes and defends an evaluative account of epistemic emotions: What it is to be an epistemic emotion is to have fittingness conditions that distinctively involve some epistemic evaluation. We argue that this view has significant advantages over alternative proposals and is a promising way to identify a limited and interesting (...) class of emotions. (shrink)