Results for 'cardiovascular endurance'

412 found
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  1.  16
    Power Stretch Warm- up Exercise: The Impact of Modified Stretching Routine on Students’ Performance.Vincent Arnie P. Amistad, Shiela Mae S. Alao, Rassel Lou G. Gamalo & Domineque James A. Pastoril - 2024 - International Journal of Multidisciplinary Educational Research and Innovation 2 (4):324-333.
    Stretching is one of the important things to do before doing a physical activity. Stretching helps you to avoid possible injuries, muscle soreness and even improve overall performance. The researcher came up with an idea to create a modified stretching routine to assess if our created modified stretching is better than the traditional stretching. This study aims to assess the impact or the effect of the created modified stretching routine to the performance of students. This study utilizes the quasi-experimental research (...)
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  2. Factors Influencing College Students' Perception on Participating in Swimming Activities.Louie Gula, Marlon P. Ribon, Allyana Athens Alejandrino & Mario Acero Galeon Jr - 2022 - Partners Universal International Research Journal 1 (2):103-111.
    The purpose of this research is to determine the variables influencing college students' engagement in swimming activities, as well as the significant themes that often appear in these occurrences. A descriptive research design was used to identify the factors influencing college students' perception of participating in swimming activities. Descriptive research is a type of nonexperimental study that aims to describe the features of phenomena as it occurs. It was found out that participating in swimming activities provides various benefits, some of (...)
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  3.  97
    OPTIMIZED CARDIOVASCULAR DISEASE PREDICTION USING MACHINE LEARNING ALGORITHMS.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, (...)
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  4. Endurance work’: embodiment and the mind-body nexus in the physical culture of high-altitude mountaineering.Jacquelyn Allen-Collinson, Lee Crust & Christian Swann - 2018 - Sociology 52 (6):1324-1341.
    The 2015 Nepal earthquake and avalanche on Mount Everest generated one of the deadliest mountaineering disasters in modern times, bringing to media attention the physical-cultural world of high-altitude climbing. Contributing to the current sociological concern with embodiment, here we investigate the lived experience and social ‘production’ of endurance in this sociologically under-researched physical-cultural world. Via a phenomenological-sociological framework, we analyse endurance as cognitively, corporeally and interactionally lived and communicated, in the form of ‘endurance work’. Data emanate from (...)
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  5. Enduring Special Relativity.Kristie Miller - 2004 - Southern Journal of Philosophy 42 (3):349-370.
    Endurantism is not inconsistent with the theory of special relativity, or so I shall argue. Endurantism is not committed to presentism, and thus not committed to a metaphysics that is at least prima facie inconsistent with special relativity. Nor is special relativity inconsistent with the idea that objects are wholly present at a time just if all of their parts co-exist at that time. For the endurantist notion of co-existence in terms of which “wholly present” is defined, is not, I (...)
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  6.  69
    Innovative Approaches in Cardiovascular Disease Prediction Through Machine Learning Optimization.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    Cardiovascular diseases (CVD) represent a significant cause of morbidity and mortality worldwide, necessitating early detection for effective intervention. This research explores the application of machine learning (ML) algorithms in predicting cardiovascular diseases with enhanced accuracy by integrating optimization techniques. By leveraging data-driven approaches, ML models can analyze vast datasets, identifying patterns and risk factors that traditional methods might overlook. This study focuses on implementing various ML algorithms, such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks, (...)
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  7. Building enduring objects out of spacetime.Cody Gilmore - 2014 - In Claudio Calosi & Pierluigi Graziani (eds.), Mereology and the Sciences: Parts and Wholes in the Contemporary Scientific Context. Cham: Springer Verlag. pp. 5-34.
    Endurantism, the view that material objects are wholly present at each moment of their careers, is under threat from supersubstantivalism, the view that material objects are identical to spacetime regions. I discuss three compromise positions. They are alike in that they all take material objects to be composed of spacetime points or regions without being identical to any such point or region. They differ in whether they permit multilocation and in whether they generate cases of mereologically coincident entities.
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  8. Endurants and Perdurants in Directly Depicting Ontologies.Thomas Bittner, Maureen Donnelly & Barry Smith - 2004 - AI Communications 13 (4):247–258.
    We propose an ontological theory that is powerful enough to describe both complex spatio-temporal processes and the enduring entities that participate therein. For this purpose we introduce the notion a directly depicting ontology. Directly depicting ontologies are based on relatively simple languages and fall into two major categories: ontologies of type SPAN and ontologies of type SNAP. These represent two complementary perspectives on reality and employ distinct though compatible systems of categories. A SNAP (snapshot) ontology comprehends enduring entities such as (...)
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  9. The Enduring Appeal of Natural Theological Arguments.Helen De Cruz - 2014 - Philosophy Compass 9 (2):145-153.
    Natural theology is the branch of theology and philosophy that attempts to gain knowledge of God through non-revealed sources. In a narrower sense, natural theology is the discipline that presents rational arguments for the existence of God. Given that these arguments rarely directly persuade those who are not convinced by their conclusions, why do they enjoy an enduring appeal? This article examines two reasons for the continuing popularity of natural theological arguments: (i) they appeal to intuitions that humans robustly hold (...)
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  10. Visual Endurance and Auditory Perdurance.Błażej Skrzypulec - 2020 - Erkenntnis 85 (2):467-488.
    Philosophers often state that the persistence of objects in vision is experienced differently than the persistence of sounds in audition. This difference is expressed by using metaphors from the metaphysical endurantism/perdurantism debate. For instance, it is claimed that only sounds are perceived as “temporally extended”. The paper investigates whether it is justified to characterize visually experienced objects and auditorily experienced sounds as different types of entities: endurants and perdurants respectively. This issue is analyzed from the perspective of major specifications of (...)
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  11. Processes endure, whereas events occur.Gilles Kassel - 2019 - In Stefano Borgo, Roberta Ferrario, Claudio Masolo & Laure Vieu (eds.), Ontology Makes Sense: Essays in Honor of Nicola Guarino. Amsterdam: IOS Press. pp. 177-193.
    In this essay, we aim to help clarify the nature of so-called 'occurrences' by attributing distinct modes of existence and persistence to processes and events. In doing so, we break with the perdurantism claimed by DOLCE’s authors and we distance ourselves from mereological analyzes like those recently conducted by Guarino to distinguish between 'processes' and 'episodes'. In line with the works of Stout and Galton, we first bring closer (physical) processes and objects in their way of enduring by proposing for (...)
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  12. Endurance and Temporary Intrinsics.Sally Haslanger - 1989 - Analysis 49 (3):119-125.
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  13. (1 other version)How to endure.J. David Velleman & Thomas Hofweber - 2011 - Philosophical Quarterly 61 (242):37 - 57.
    The terms `endurance' and `perdurance' are commonly thought to denote distinct ways for an object to persist, but it is surprisingly hard to say what these are. The common approach, defining them in terms of temporal parts, is mistaken, because it does not lead to two coherent philosophical alternatives: endurance so understood becomes conceptually incoherent, while perdurance becomes not just true but a conceptual truth. Instead, we propose a different way to articulate the distinction, in terms of identity (...)
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  14. Endurant Types in Ontology-Driven Conceptual Modeling: Towards OntoUML 2.0.Giancarlo Guizzardi, Tiago Prince Sales, Claudenir M. Fonseca, Daniele Porello, Joao Paulo Almeida & Nicola Guarino - 2018 - In J. C. Trujillo, K. C. Davis, X. Du, Z. Li, T. W. Ling, G. Li & M. L. Lee (eds.), Conceptual Modeling - 37th International Conference, {ER} 2018, Xi'an, China, October 22-25, 2018, Proceedings. Springer. pp. 136--150.
    For over a decade now, a community of researchers has contributed to the development of the Unified Foundational Ontology (UFO) - aimed at providing foundations for all major conceptual modeling constructs. This ontology has led to the development of an Ontology-Driven Conceptual Modeling language dubbed OntoUML, reflecting the ontological micro-theories comprising UFO. Over the years, UFO and OntoUML have been successfully employed in a number of academic, industrial and governmental settings to create conceptual models in a variety of different domains. (...)
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  15. Can Things Endure in Tenseless Time.Rögnvaldur Ingthorsson - 2009 - SATS 10 (1):79-99.
    It has been argued that the tenseless view of time is incompatible with endurantism. This has been disputed, perhaps most famously by Hugh Mellor and Peter Simons. They argue that things can endure in tenseless time, and indeed must endure if tenseless time is to contain change. In this paper I will point out some difficulties with Mellor’s and Simons’ claims that in tenseless time a particular can be ‘wholly present’ at various times, and therefore endure, as well as have (...)
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  16. Aristotle on Enduring Evils While Staying Happy.Marta Jimenez - 2018 - In Pavlos Kontos (ed.), Evil in Aristotle. Cambridge University Press. pp. 150-169.
    In what ways and how far does virtue shield someone against suffering evils? In other words, how do non-moral evils affect the lives of virtuous people and to what extent can someone endure evils while staying happy? The central purpose of this chapter is to answer these questions by exploring what Aristotle has to say about the effects of evils in human well-being in general and his treatment of extreme misfortunes.
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  17.  76
    Efficient Cloud-Enabled Cardiovascular Disease Risk Prediction and Management through Optimized Machine Learning.P. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):454-475.
    The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random (...)
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  18. A New Definition of Endurance.Kristie Miller - 2005 - Theoria 71 (4):309-332.
    In this paper I present a new definition of endurance. I argue that the three-dimensionalist ought to adopt a different understanding from the four-dimensionalist, of what it is to have a part simpliciter. With this new understanding it becomes possible to define endurance in a manner that both preserves the central endurantist intuitions, whilst avoiding commitment to any controversial metaphysical theses. Furthermore, since this endurantist definition is a mereological one, there is an elegant symmetry between the definitions of (...)
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  19. Predictive Modeling of Obesity and Cardiovascular Disease Risk: A Random Forest Approach.Mohammed S. Abu Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 7 (12):26-38.
    Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all reaching (...)
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  20. The enduring scandal of deduction: is propositional logic really uninformative?Marcello D'Agostino & Luciano Floridi - 2009 - Synthese 167 (2):271-315.
    Deductive inference is usually regarded as being “tautological” or “analytical”: the information conveyed by the conclusion is contained in the information conveyed by the premises. This idea, however, clashes with the undecidability of first-order logic and with the (likely) intractability of Boolean logic. In this article, we address the problem both from the semantic and the proof-theoretical point of view. We propose a hierarchy of propositional logics that are all tractable (i.e. decidable in polynomial time), although by means of growing (...)
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  21. The Illusion of the Enduring Self.Katalin Balog - forthcoming - In Martine Nida-Rümelin & Julien Bugnon (eds.), The Phenomenology of Self-Awareness and the Nature of Conscious Subjects. Routledge.
    This paper is primarily about metaphysics; specifically, about a Cartesian view of the self, according to which it is a simple, enduring, non-material entity.I take a critical look at Nida-Rümelin’s novel conceptual arguments for this view and argue that they don’t give us decisive reasons to uphold the Cartesian view. But in Nida-Rümelin’s view, what is at stake in these arguments is not merely theoretical: the truth – and our beliefs about it – has practical consequences as well. In her (...)
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  22. Humean supervenience and enduring things.Sally Haslanger - 1994 - Australasian Journal of Philosophy 72 (3):339 – 359.
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  23. From Historical to Enduring Injustice.Jeff Spinner-Halev - 2007 - Political Theory 35 (5):574-597.
    Advocates of remedying historical injustices urge political communities to take responsibility for their past, but their arguments are ambiguous about whether all past injustices need remedy, or just those regarding groups that suffer from current injustice. This ambiguity leaves unanswered the challenge of critics who argue that contemporary injustices matter, not those in the past. I argue instead for a focus on injustices that have roots in the past, and continue to the present day, what I call enduring injustice. Instead (...)
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  24. Endurance, Perdurance and Metaontology.Jiri Benovsky - 2011 - SATS 12 (2):159-177.
    The recent debate in metaontology gave rise to several types of (more or less classical) answers to questions about "equivalences" between metaphysical theories and to the question whether metaphysical disputes are substantive or merely verbal (i.e. various versions of realism, strong anti-realism, moderate anti-realism, or epistemicism). In this paper, I want to do two things. First, I shall have a close look at one metaphysical debate that has been the target and center of interest of many meta-metaphysicians, namely the problem (...)
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  25. Enduring positivity: Children of incarcerated parents report more positive than negative emotions when thinking about close others.James Dunlea - 2020 - Journal of Cognition and Development 21:494-512.
    Millions of children in the United States experience parental incarcera- tion, yet it is unclear how this experience might shape social cognition. We asked children of incarcerated parents (N = 24) and children whose parents were not incarcerated (N = 58) to describe their parents. Both groups of children also rated the extent to which they agree that they feel positive and, separately, negative emotions when thinking about their parent and best friend. This approach allowed us to test between two (...)
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  26. The Effect of Evoking Nostalgic Memories on the Homeostatic Variables (Mental and Physical) Among Cardiovascular Patients.Hossein Dabbagh - 2018 - Advances in Cognitive Science 19 (4):57-69.
    Nostalgia as one of the complex emotions has been challenged over the past few decades due to its psychological and physiological functions. The present experiment investigates the effect of recalling nostalgic memories on amelioration of homeostatic and health state of people with cardiovascular disease. Method: The participants were 30 patients who were hospitalized for angiography procedure. The research was based on an experimental design with randomized and post-test groups. The instruments used included a thermometer with ° C, a checkout (...)
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  27.  62
    Scalable Cloud Solutions for Cardiovascular Disease Risk Management with Optimized Machine Learning Techniques.A. Manoj Prabaharan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):454-470.
    The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. In order to achieve even higher predicted accuracy, the study's conclusion discusses the significance of its findings for clinical practice as well as future improvements that might be (...)
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  28. The Ephemeral and the Enduring: Trajectories of Disappearance for the Scientific Objects of American Cold War Nuclear Weapons Testing.Todd A. Hanson - 2016 - Teorie Vědy / Theory of Science 38 (3):279-299.
    The historic material culture produced by American Cold War nuclear weapons testing includes objects of scientific inquiry that can be generally categorized as being either ephemeral or enduring. Objects deemed to be ephemeral were of a less substantial nature, being impermanent and expendable in a nuclear test, while enduring objects were by nature more durable and long-lasting. Although all of these objects were ultimately subject to disappearance, the processes by which they were transformed, degraded, or destroyed prior to their disappearing (...)
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  29. How to Endure an Alleged Paradox.Donald Smith - 2008 - Journal of Philosophical Research 33:285-292.
    Stephen Barker and Phil Dowe have argued, through what they call the mereological paradox, that endurantism is contradictory. In this paper, I take issue with Barker and Dowe’s argument. In addition to disarming an interesting philosophical argument against endurantism, my diagnosis of Barker and Dowe’s mereological paradox underscores what is central to the endurantism/perdurantism debate and reveals the inadequacy of a familiar way of describing enduring objects.
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  30.  60
    Optimized Cloud Computing Solutions for Cardiovascular Disease Prediction Using Advanced Machine Learning.Kannan K. S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):465-480.
    The world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random (...)
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  31. Einstein Vs. Bergson: An Enduring Quarrel on Time.Alessandra Campo & Simone Gozzano (eds.) - 2021 - Boston: De Gruyter.
    This book brings together papers from a conference that took place in the city of L'Aquila, 4–6 April 2019, to commemorate the 10th anniversary of the earthquake that struck on 6 April 2009. Philosophers and scientists from diverse fields of research debated the problem that, on 6 April 1922, divided Einstein and Bergson: the nature of time. For Einstein, scientific time is the only time that matters and the only time we can rely on. Bergson, however, believes that scientific time (...)
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  32. The Subjectively Enduring Self.L. A. Paul - 2017 - In Ian Phillips (ed.), The Routledge Handbook of Philosophy of Temporal Experience: Routledge Handbooks in Philosophy. New York: Routledge. pp. 262-271.
    The self can be understood in objective metaphysical terms as a bundle of properties, as a substance, or as some other kind of entity on our metaphysical list of what there is. Such an approach explores the metaphysical nature of the self when regarded from a suitably impersonal, ontological perspective. It explores the nature and structure of the self in objective reality, that is, the nature and structure of the self from without. This is the objective self. I am taking (...)
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  33. Sung(誠, endurance) and Hyo(孝, selfless selfness) as two universal foundations of human civilization in the 21st century.Un-Sunn Lee - manuscript
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  34. The Case Fatality Rate in COVID-19 Patients With Cardiovascular Disease: Global Health Challenge and Paradigm in the Current Pandemic.Siddhartha Dan, Mohit Pant & Sushil Kumar Upadhyay - 2021 - Curr Pharmacol Rep 6:1-10.
    Purpose of Review Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is identified from Wuhan, China, and has spread almost worldwide. Recently, the newly identified SARS-CoV-2 has been confirmed to kill millions of people worldwide and is dangerous to society health, survival, and livelihood. The people with cardiovascular problems are noticed as most common patients of coronavirus disease 2019 (COVID-19). There is a greater risk of mortality and morbidity in these patients than other patients of COVID-19. In the heart, expressed angiotensin-converting (...)
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  35.  55
    Hybrid Cloud-Machine Learning Framework for Efficient Cardiovascular Disease Risk Prediction and Treatment Planning.Kannan K. S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):460-480.
    Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, (...)
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  36. ‘I’d got self-destruction down to a fine art’: A qualitative exploration of Relative Energy Deficiency in Sport (RED-S) in endurance athletes.Rachel Langbein, Daniel Martin, Jacquelyn Allen-Collinson, Lee Crust & Patricia Jackman - 2021 - Journal of Sports Sciences 39 (14):1555-1564.
    Relative Energy Deficiency in Sport (RED-S) is a syndrome of impaired health and performance that occurs as a result of low energy availability (LEA). Whilst many health effects associated with RED-S have been widely studied from a physiological perspective, further research exploring the psychological antecedents and consequences of the syndrome is required. Therefore, the aim of this study was to qualitatively explore athlete experiences of RED-S. Twelve endurance athletes (female n= 10, male n= 2; M age = 28.33 years) (...)
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  37. Neuro-Doping and the Value of Effort in Endurance Sports.Alexandre Erler - 2020 - Neuroethics (Suppl 2):1-13.
    The enhancement of athletic performance using procedures that increase physical ability, such as anabolic steroids, is a familiar phenomenon. Yet recent years have also witnessed the rise of direct interventions into the brain, referred to as “neuro-doping”, that promise to also enhance sports performance. This paper discusses one potential objection to neuro-doping, based on the contribution to athletic achievement, particularly within endurance sports, of effortfully overcoming inner challenges. After introducing the practice of neuro-doping, and the controversies surrounding it, I (...)
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  38. Autonomy, agency, and the value of enduring beliefs.Jason Kawall - 2010 - Canadian Journal of Philosophy 40 (1):pp. 107-129.
    My central thesis is that philosophers considering questions of epistemic value ought to devote greater attention to the enduring nature of beliefs. I begin by arguing that a commonly drawn analogy between beliefs and actions is flawed in important respects, and that a better, more fruitful analogue for belief would be desire, or a similarly enduring state of an agent. With this in hand, I argue that treating beliefs as enduring, constitutive states of agents allows us to capture the importance (...)
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  39. The importance of poetry, hip-hop, and philosophy for an enlisted aviator in the USAF (2000-2004) flying in support of Operation Enduring Freedom and Operation Iraqi Freedom.Adam M. Croom - 2015 - Journal of Poetry Therapy 28:73-97.
    This special issue of Journal of Poetry Therapy focuses on the use of poetry and other forms of expressive writing to explore the transformative experiences of military veterans, and so in this article I discuss how the use of poetry, hip-hop, and philosophy positively influenced my life while I was serving in the United States Air Force (USAF) from 2000 through 2004. This article briefly reviews my reasons for enlisting and discusses the importance that poetry, hip-hop, and philosophy had for (...)
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  40.  13
    The Enduring Allure of Timeless Lessons Wrapped in Charming Fables. [REVIEW]Kostiantyn Maslov - 2024 - Amazon Book Review Series of “Wild Wise Weird”.
    Amazon Book Review Series of “Wild Wise Weird”.
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  41.  60
    Cloud-Enabled Risk Management of Cardiovascular Diseases Using Optimized Predictive Machine Learning Models.Kannan K. S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):460-475.
    Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, (...)
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  42.  53
    Machine Learning-Driven Optimization for Accurate Cardiovascular Disease Prediction.Yoheswari S. - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):350-359.
    The research methodology involves data preprocessing, feature engineering, model training, and performance evaluation. We employ optimization methods such as Genetic Algorithms and Grid Search to fine-tune model parameters, ensuring robust and generalizable models. The dataset used includes patient medical records, with features like age, blood pressure, cholesterol levels, and lifestyle habits serving as inputs for the ML models. Evaluation metrics, including accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC), assess the model's predictive power.
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  43. The Moral Obligation to Prioritize Research Into Deep Brain Stimulation Over Brain Lesioning Procedures for Severe Enduring Anorexia Nervosa.Jonathan Pugh, Jacinta Tan, Tipu Aziz & Rebecca J. Park - 2018 - Frontiers in Psychiatry 9:523.
    Deep Brain Stimulation is currently being investigated as an experimental treatment for patients suffering from treatment-refractory AN, with an increasing number of case reports and small-scale trials published. Although still at an exploratory and experimental stage, initial results have been promising. Despite the risks associated with an invasive neurosurgical procedure and the long-term implantation of a foreign body, DBS has a number of advantageous features for patients with SE-AN. Stimulation can be fine-tuned to the specific needs of the particular patient, (...)
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  44. St. Augustine on Time, Time Numbers, and Enduring Objects.Jason W. Carter - 2011 - Vivarium 49 (4):301-323.
    Throughout his works, St. Augustine offers at least nine distinct views on the nature of time, at least three of which have remained almost unnoticed in the secondary literature. I first examine each these nine descriptions of time and attempt to diffuse common misinterpretations, especially of the views which seek to identify Augustinian time as consisting of an un-extended point or a distentio animi . Second, I argue that Augustine's primary understanding of time, like that of later medieval scholastics, is (...)
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  45. ‘Blessed are the breadmakers...’: Sociophobia, digital society and the enduring relevance of technological determinism.Gregory Morgan Swer - 2023 - South African Journal of Philosophy 42 (4):315-327.
    Technological determinism, as a position on the nature and effects of technology/technologies can be divided into optimistic and critical forms. The optimistic variety, of which contemporary cyber-utopianism is an instance, holds that the development of technology shapes or at least facilitates ameliorative alterations in society. The critical variety, on the other hand, tends to problematise or condemn the positive narrative of technological impact on human existence. Whilst the optimistic form still retains some academic credibility, especially concerning digital technologies, the critical (...)
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  46. Contraries and Contradictories: Exploring the Identity and Nature of Conway’s Enduring Creature through Time.Wesley De Sena - manuscript
    In the sixth chapter of her work “Principle,” Anne Conway advances a compelling argument in favor of the soul’s immortality. She posits that the soul, which she defines as an individual's essence, persists through time. It is noteworthy, however, that Conway also asserts elsewhere in her metaphysical discourse that her system does not necessitate the existence of immaterial entities. Consequently, she characterizes the nature of the soul as fundamentally material. This assertion raises a series of intriguing questions and challenges. One (...)
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  47. Nizam al-Mulk: Essays on Enduring Persian Cultural Continuum.Javad Tabatabai - 2014 - Tehran: Minooye Kherad Publication (Sotoudeh Publication, 1996).
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  48.  69
    The Many Mes' Problem for Theories of Persistence Through Change.Thomas Ridout - 2024 - Dissertation, University of Toronto at Scarborough
    In my fourth year, I completed a research paper critically analyzing writing on Endurance and Perdurance by testing these theories of how objects persist through change with Einstein’s Relativity to present a thesis. I then compared these metaphysical accounts of persistence for how well they conform to applied physical principles of Special Relativity.
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  49. 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 (...)
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  50. The Situationalist Account of Change.Martin Pickup - forthcoming - Oxford Studies in Metaphysics.
    In this paper I propose a new solution to the problem of change: situationalism. According to this view, parts of reality fundamentally disagree about what is the case and reality as a whole is unsettled (i.e. metaphysically indeterminate). When something changes, parts of the world irreconcilably disagree about what properties it has. From this irreconcilable disagreement, indeterminacy arises. I develop this picture using situations, which are parts of possible worlds; this gives it the name situationalism. It allows a B-theory (...) view on which there is genuine incompatibility when things change. There are costs to the view, which are explored, but it is a novel approach which offers a distinct explanation of what happens when things exist through change. (shrink)
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