Results for 'Search engines'

964 found
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  1. Search Engines, Free Speech Coverage, and the Limits of Analogical Reasoning.Heather Whitney & Robert Mark Simpson - 2018 - In Susan J. Brison & Katharine Gelber (eds.), Free Speech in the Digital Age. Oup Usa. pp. 33-41.
    This paper investigates whether search engines and other new modes of online communication should be covered by free speech principles. It criticizes the analogical reason-ing that contemporary American courts and scholars have used to liken search engines to newspapers, and to extend free speech coverage to them based on that likeness. There are dissimilarities between search engines and newspapers that undermine the key analogy, and also rival analogies that can be drawn which don’t recommend (...)
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  2. Web search engines and distributed assessment systems.Christophe Heintz - 2006 - Pragmatics and Cognition 14 (2):387-409.
    I analyse the impact of search engines on our cognitive and epistemic practices. For that purpose, I describe the processes of assessment of documents on the Web as relying on distributed cognition. Search engines together with Web users, are distributed assessment systems whose task is to enable efficient allocation of cognitive resources of those who use search engines. Specifying the cognitive function of search engines within these distributed assessment systems allows interpreting anew (...)
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  3. Search Engines, White Ignorance, and the Social Epistemology of Technology.Joshua Habgood-Coote - manuscript
    How should we think about the ways search engines can go wrong? Following the publication of Safiya Noble’s Algorithms of Oppression (Noble 2018), a view has emerged that racist, sexist, and other problematic results should be thought of as indicative of algorithmic bias. In this paper, I offer an alternative angle on these results, building on Noble’s suggestion that search engines are complicit in a racial contract (Mills 1990). I argue that racist and sexist results should (...)
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  4. A virtue epistemology of the Internet: Search engines, intellectual virtues and education.Richard Heersmink - 2018 - Social Epistemology 32 (1):1-12.
    This paper applies a virtue epistemology approach to using the Internet, as to improve our information-seeking behaviours. Virtue epistemology focusses on the cognitive character of agents and is less concerned with the nature of truth and epistemic justification as compared to traditional analytic epistemology. Due to this focus on cognitive character and agency, it is a fruitful but underexplored approach to using the Internet in an epistemically desirable way. Thus, the central question in this paper is: How to use the (...)
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  5. Online information of vaccines: information quality, not only privacy, is an ethical responsibility of search engines.Pietro Ghezzi, Peter Bannister, Gonzalo Casino, Alessia Catalani, Michel Goldman, Jessica Morley, Marie Neunez, Andreu Prados-Bo, Pierre Robert Smeeters, Mariarosaria Taddeo, Tania Vanzolini & Luciano Floridi - 2021 - Frontiers in Medicine 7.
    The fact that Internet companies may record our personal data and track our online behavior for commercial or political purpose has emphasized aspects related to online privacy. This has also led to the development of search engines that promise no tracking and privacy. Search engines also have a major role in spreading low-quality health information such as that of anti-vaccine websites. This study investigates the relationship between search engines’ approach to privacy and the scientific (...)
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  6. Search Engines, Social Media, and the Editorial Analogy.Heather Whitney - forthcoming - In The Perilous Public Square: Structural Threats to Free Expression Today. New York, NY, USA: Columbia University Press.
    Deconstructing the “editorial analogy,” and analogical reasoning more generally, in First Amendment litigation involving powerful tech companies.
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  7. Suggestions to Enhance the Scholarly Search Engine: Google Scholar.Ibrahim M. Nasser, Mohammed M. Elsobeihi & Samy S. Abu Naser - 2019 - International Journal of Engineering and Information Systems (IJEAIS) 3 (3):11-16.
    The scholarly search engine Google Scholar (G.S.) has problems that make it not a 100% trusted search engine. In this research, we discussed a few drawbacks that we noticed in Google Scholar, one of them is related to how does it perform (add articles) option for adding new articles that are related to the registered researchers. Our suggestion is an attempt for making G.S. more efficient by improving the searching method that it uses and finally having trusted statistical (...)
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  8. Hıristiyanlıkta Kutsalın Doğasına Dair Fikir Ayrılığı ve Buna Kilise Babaları'nda Olası bir Çözüm.Engin Yurt - 2018 - Felsefi Düsün 10 (10):337-363.
    This article mainly aims to make an examination over the holy. It has been inquired into how something being ascribed holy can have a meaning in philosophy. As the article's research area, the differences in both opinion and execution which have later divided Christianity into two as Catholic and Orthodox Churches have been selected. The separation of these two churches under the subject titles such as Filioque controversy, the idea of First Among Equals (primas inter pares), and ritual of Transubstantiation (...)
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  9. İnsan Olmak: Dil ve Bilincin Eşkökenliğine Dair bir Analiz ve Araştırma.Engin Yurt - 2018 - Kutadgubilig Felsefe-Bilim Araştırmaları Dergisi 37 (37):233-250.
    In this article, it has been searched if the language and consciousness have a co-origin or not. This origin of language and consciousness problem which draws interest in areas especially like anthropology, biology and evolutionary linguistics and evolutionary psychology is tried to be handled from a philosophical point of view. By presenting the theories about the relation between language and consciousness, theories that are well-accepted but contradicted to another from certain aspects, a thinking -which tries to go beyond this contradiction- (...)
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  10. Digital Monology: The Authority of the Search Engine.Walter Barta - 2019 - Media and the Moving Image at University of Houston.
    2019 Applied Technology Award for the Media and the Moving Image Awards at University of Houston. -/- The Google algorithm, as a ranking and ordering structure, cannot be “objective” as long as the page-ranking mechanism produces social effects and always inadvertently and inescapably affects social priorities. Imitable units of information (memes) on the internet change according to the laws of exponential growth, like other social phenomena, which include Google rankings. Mathematically and graphically represented, the effects of mimetic inflation on Google (...)
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  11. Responsible Epistemic Technologies: A Social-Epistemological Analysis of Autocompleted Web Search.Boaz Miller & Isaac Record - 2017 - New Media and Society 19 (12):1945-1963.
    Information providing and gathering increasingly involve technologies like searchengines, which actively shape their epistemic surroundings. Yet, a satisfying account ‎of the epistemic responsibilities associated with them does not exist. We analyze ‎automatically generated search suggestions from the perspective of social ‎epistemology to illustrate how epistemic responsibilities associated with a ‎technology can be derived and assigned. Drawing on our previously developed ‎theoretical framework that connects responsible epistemic behavior to ‎practicability, we address two questions: first, given the different (...)
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  12. The search query filter bubble: effect of user ideology on political leaning of search results through query selection (2nd edition).A. G. Ekström, Guy Madison, Erik J. Olsson & Melina Tsapos - 2023 - Information, Communication and Society 1:1-17.
    It is commonly assumed that personalization technologies used by Google for the purpose of tailoring search results for individual users create filter bubbles, which reinforce users’ political views. Surprisingly, empirical evidence for a personalization-induced filter bubble has not been forthcoming. Here, we investigate whether filter bubbles may result instead from a searcher’s choice of search queries. In the first experiment, participants rated the left-right leaning of 48 queries (search strings), 6 for each of 8 topics (abortion, benefits, (...)
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  13. The mismeasure of machine: Synthetic biology and the trouble with engineering metaphors.Maarten Boudry & Massimo Pigliucci - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):660-668.
    The scientific study of living organisms is permeated by machine and design metaphors. Genes are thought of as the ‘‘blueprint’’ of an organism, organisms are ‘‘reverse engineered’’ to discover their functionality, and living cells are compared to biochemical factories, complete with assembly lines, transport systems, messenger circuits, etc. Although the notion of design is indispensable to think about adaptations, and engineering analogies have considerable heuristic value (e.g., optimality assumptions), we argue they are limited in several important respects. In particular, the (...)
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  14. Corpus Analysis in Philosophy.Roland Bluhm - 2016 - In Martin Hinton (ed.), Evidence, Experiment, and Argument in Linguistics and the Philosophy of Language. New York: Peter Lang. pp. 91-109.
    The experimental philosophy movement advocates the use of empirical methods in philosophy. The methods most often discussed and in fact employed in experimental philosophy are appropriated from the experimental paradigm in psychology. But there is a variety of other (at least partly) empirical methods from various disciplines that are and others that could be used in philosophy. The paper explores the application of corpus analysis to philosophical issues. Although the method is well established in linguistics, there are only a few (...)
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  15. “Don’t Be Evil” and Beyond for High Tech Organizations: Ethical Statements and Mottos (and Responsibility).Jo Ann Oravec (ed.) - 2018 - IGI Global.
    Societal pressures on high tech organizations to define and disseminate their ethical stances are increasing as the influences of the technologies involved expand. Many Internet-based businesses have emerged in the past decades; growing numbers of them have developed some kind of moral declaration in the form of mottos or ethical statements. For example, the corporate motto “don’t be evil” (often linked with Google/Alphabet) has generated considerable controversy about social and cultural impacts of search engines. After addressing the origins (...)
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  16. The Shutdown Problem: An AI Engineering Puzzle for Decision Theorists.Elliott Thornley - forthcoming - Philosophical Studies:1-28.
    I explain the shutdown problem: the problem of designing artificial agents that (1) shut down when a shutdown button is pressed, (2) don’t try to prevent or cause the pressing of the shutdown button, and (3) otherwise pursue goals competently. I prove three theorems that make the difficulty precise. These theorems show that agents satisfying some innocuous-seeming conditions will often try to prevent or cause the pressing of the shutdown button, even in cases where it’s costly to do so. And (...)
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  17. A look at the inference engine underlying ‘evolutionary epistemology’ accounts of the production of heuristics.Philippe Gagnon - 2012 - In Dirk Evers, Antje Jackelén & Michael Fuller (eds.), Is Religion Natural? ESSSAT Yearbook 2011-2012. Forthcoming.
    This paper evaluates the claim that it is possible to use nature’s variation in conjunction with retention and selection on the one hand, and the absence of ultimate groundedness of hypotheses generated by the human mind as it knows on the other hand, to discard the ascription of ultimate certainty to the rationality of human conjectures in the cognitive realm. This leads to an evaluation of the further assumption that successful hypotheses with specific applications, in other words heuristics, seem to (...)
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  18. Chatbot Epistemology.Susan Schneider - manuscript
    AI chatbots are disseminating more and more of the Internet’s search engine activity, transforming the face of education, serving as personalized AIs in intellectual and emotional relationships with humans, becoming “digital workers” that may outmode us at work, and more. Indeed, the larger category of generative AI may be one of the most transformative technologies of this decade, or even this century. Given this, it is imperative that we understand the epistemological challenges that arise with the everyday use of (...)
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  19. A Proposed Knowledge Based System for Desktop PC Troubleshooting.Ahmed Wahib Dahouk & Samy S. Abu-Naser - 2018 - International Journal of Academic Pedagogical Research (IJAPR) 2 (6):1-8.
    Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and (...)
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  20. Re-assessing Google as Epistemic Tool in the Age of Personalisation.Tanya de Villiers-Botha - 2022 - The Proceedings of SACAIR2022 Online Conference, the 3rd Southern African Conference for Artificial Intelligence Research.
    Google Search is arguably one of the primary epistemic tools in use today, with the lion’s share of the search-engine market globally. Scholarship on countering the current scourge of misinformation often recommends “digital lit- eracy” where internet users, especially those who get their information from so- cial media, are encouraged to fact-check such information using reputable sources. Given our current internet-based epistemic landscape, and Google’s dominance of the internet, it is very likely that such acts of epistemic hygiene (...)
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  21.  25
    Gaming Google: Some Ethical Issues Involving Online Reputation Management.Jo Ann Oravec - 2013 - Journal of Business Ethics Education 10:61-81.
    Using the search engine Google to locate information linked to individuals and organizations has become part of everyday functioning. This article addresses whether the “gaming” of Internet applications in attempts to modify reputations raises substantial ethical concerns. It analyzes emerging approaches for manipulation of how personally-identifiable information is accessed online as well as critically-important international differences in information handling. Itinvestigates privacy issues involving the data mining of personally-identifiable information with search engines and social media platforms. Notions of (...)
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  22. Music as Affective Scaffolding.Joel Krueger - forthcoming - In Clarke David, Herbert Ruth & Clarke Eric (eds.), Music and Consciousness II. Oxford University Press.
    For 4E cognitive science, minds are embodied, embedded, enacted, and extended. Proponents observe that we regularly ‘offload’ our thinking onto body and world: we use gestures and calculators to augment mathematical reasoning, and smartphones and search engines as memory aids. I argue that music is a beyond-the-head resource that affords offloading. Via this offloading, music scaffolds access to new forms of thought, experience, and behaviour. I focus on music’s capacity to scaffold emotional consciousness, including the self-regulative processes constitutive (...)
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  23. Justified Belief in a Digital Age: On the Epistemic Implications of Secret Internet Technologies.Boaz Miller & Isaac Record - 2013 - Episteme 10 (2):117 - 134.
    People increasingly form beliefs based on information gained from automatically filtered Internet ‎sources such as search engines. However, the workings of such sources are often opaque, preventing ‎subjects from knowing whether the information provided is biased or incomplete. Users’ reliance on ‎Internet technologies whose modes of operation are concealed from them raises serious concerns about ‎the justificatory status of the beliefs they end up forming. Yet it is unclear how to address these concerns ‎within standard theories of knowledge (...)
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  24. Decisions and the Evolution of Memory: Multiple Systems, Multiple Functions.Stan Klein, Leda Cosmides, John Tooby & Sarah Chance - 2002 - Psychological Review 109:306-329.
    Memory evolved to supply useful, timely information to the organism’s decision-making systems. Therefore, decision rules, multiple memory systems, and the search engines that link them should have coevolved to mesh in a coadapted, functionally interlocking way. This adaptationist perspective suggested the scope hypothesis: When a generalization is retrieved from semantic memory, episodic memories that are inconsistent with it should be retrieved in tandem to place boundary conditions on the scope of the generalization. Using a priming paradigm and a (...)
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  25. Attunement: On the Cognitive Virtues of Attention.Georgi Gardiner - 2022 - In Mark Alfano, Jeroen De Ridder & Colin Klein (eds.), Social Virtue Epistemology. Routledge.
    I motivate three claims: Firstly, attentional traits can be cognitive virtues and vices. Secondly, groups and collectives can possess attentional virtues and vices. Thirdly, attention has epistemic, moral, social, and political importance. An epistemology of attention is needed to better understand our social-epistemic landscape, including media, social media, search engines, political polarisation, and the aims of protest. I apply attentional normativity to undermine recent arguments for moral encroachment and to illuminate a distinctive epistemic value of occupying particular social (...)
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  26. The Epistemic Basic Structure.Faik Kurtulmus - 2020 - Journal of Applied Philosophy 37 (5):818-835.
    The epistemic basic structure of a society consists of those institutions that have the greatest impact on individuals’ opportunity to obtain knowledge on questions they have an interest in as citizens, individuals, and public officials. It plays a central role in the production and dissemination of knowledge and in ensuring that people have the capability to assimilate this knowledge. It includes institutions of science and education, the media, search engines, libraries, museums, think tanks, and various government agencies. This (...)
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  27. Even good bots fight: the case of Wikipedia.Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi & Taha Yasseri - 2017 - PLoS ONE 12 (2).
    In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communities. The online world has turned into an ecosystem of bots. However, our knowledge of how these automated agents are interacting with each other is rather poor. Bots are predictable automatons that do not have the capacity for emotions, meaning-making, creativity, (...)
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  28. Knowledge, Democracy, and the Internet.Nicola Mößner & Philip Kitcher - 2017 - Minerva 55 (1):1-24.
    The internet has considerably changed epistemic practices in science as well as in everyday life. Apparently, this technology allows more and more people to get access to a huge amount of information. Some people even claim that the internet leads to a democratization of knowledge. In the following text, we will analyze this statement. In particular, we will focus on a potential change in epistemic structure. Does the internet change our common epistemic practice to rely on expert opinions? Does it (...)
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  29.  21
    Institutional Epistemic Barriers to Anti-Speciesist Knowledge.Emnée Louise van den Brandeler - 2024 - In Mona Giersberg, Franck Meijboom & Bernice Bovenkerk (eds.), EurSafe2024 Proceedings: Back to the Future - Sustainable innovations for ethical food production and consumption. Wageningen Academic Publishers. pp. 167-172.
    This article explores how institutions play a pivotal role in shaping collective knowledge and ignorance concerning the human–animal relationship. It contends that institutions, by obstructing or facilitating the production and dissemination of knowledge, significantly influence societal perceptions of animals, and in turn, our treatment of them. Such epistemic processes lead to speciesist beliefs and behaviour, which I assume to be morally problematic. The discussion centres on the obstruction of collective moral knowledge related to the human–animal relationship. Specifically, my article identifies (...)
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  30. Algorithmic neutrality.Milo Phillips-Brown - manuscript
    Algorithms wield increasing control over our lives—over the jobs we get, the loans we're granted, the information we see online. Algorithms can and often do wield their power in a biased way, and much work has been devoted to algorithmic bias. In contrast, algorithmic neutrality has been largely neglected. I investigate algorithmic neutrality, tackling three questions: What is algorithmic neutrality? Is it possible? And when we have it in mind, what can we learn about algorithmic bias?
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  31. Libertarianism Allows Retributive Restitution (Which is Optimally Deterring): a reply to Joseph Ellin’s “Restitution not Retributive: A Mini-paper”.J. C. Lester - manuscript
    The following essay responds to a draft article that criticises the theory of libertarian restitution in “Libertarian Rectification: Restitution, Retribution, and the Risk-Multiplier” (LR). The article was freely available to internet search engines. Hence, it seems fair and useful to reply to these very welcome objective criticisms. It is not intellectually relevant that its author might subsequently and subjectively have thought better of them, possibly as a result of the earlier version of this reply. Generally, the article misconstrues (...)
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  32. Science, Trust and Justice: More lessons from the Pandemic.Faik Kurtulmuş - 2022 - Social Epistemology Review and Reply Collective 11 (6):11-17.
    Take a question like the safety and effectiveness of COVID-19 vaccines. Whether an ordinary citizen or a public official can acquire the correct answer to this question depends on the functioning of the epistemic basic structure of their society. The epistemic basic structure of a society consists of “the institutions that have a crucial role in the distribution of knowledge, that is, in the production and dissemination of knowledge, and in ensuring that people have the capability to assimilate what is (...)
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  33. (1 other version)Why Emotions Do Not Solve the Frame Problem.Madeleine Ransom - 2016 - In Vincent C. Müller (ed.), Fundamental Issues of Artificial Intelligence. Cham: Springer.
    Attempts to engineer a generally intelligent artificial agent have yet to meet with success, largely due to the (intercontext) frame problem. Given that humans are able to solve this problem on a daily basis, one strategy for making progress in AI is to look for disanalogies between humans and computers that might account for the difference. It has become popular to appeal to the emotions as the means by which the frame problem is solved in human agents. The purpose of (...)
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  34. "Don't Be Evil" and Beyond for High Tech Organizations: Ethical Statements and Mottos (and Responsibility).Jo Ann Oravec - 2018 - In “Don’t Be Evil” and Beyond for High Tech Organizations: Ethical Statements and Mottos (and Responsibility). IGI Global. pp. 200-237.
    Societal pressures on high tech organizations to define and disseminate their ethical stances are increasing as the influences of the technologies involved expand. Many Internet-based businesses have emerged in the past decades; growing numbers of them have developed some kind of moral declaration in the form of mottos or ethical statements. For example, the corporate motto “don’t be evil” (often linked with Google/ Alphabet) has generated considerable controversy about social and cultural impacts of search engines. After addressing the (...)
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  35. May Artificial Intelligence Be a Co-Author on an Academic Paper?Ayşe Balat & İlhan Bahşi - 2023 - European Journal of Therapeutics 29 (3):e12-e13.
    Dear Colleagues, -/- Recently, for an article submitted to the European Journal of Therapeutics, it was reported that the paper may have been written with artificial intelligence support at a rate of more than 50% in the preliminary examination made with Turnitin. However, the authors did not mention this in the article’s material method or explanations section. Fortunately, the article’s out-of-date content and fundamental errors in its methodology allowed us no difficulty making the desk rejection decision. -/- On the other (...)
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  36. Derecho al olvido en Internet: Google y la doctrina europea.David Villena Saldaña - 2015 - Contratexto 23 (23):259-269.
    This essay accounts for part of the moral, social and legal problems behind the attempts for justifying and implementing the so-called right to be forgotten in the Internet. Such right implies that –under certain circumstances–individuals are entitled to demand that search engines remove links containing their personal information. Our inquiry reflects on a ruling issued by the Court of Justice of the European Union and made public on May 13th 2014, as well as on the recommendations conveyed in (...)
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  37. Welcome to the December 2023 Issue (Vol:29, No:4) and Current News of the European Journal of Therapeutics.Ayşe Balat, Şevki Hakan Eren, Mehmet Sait Menzilcioğlu, İlhan Bahşi, İlkay Doğan, Davut Sinan Kaplan, Mehmet Karadağ, Ayşe Aysima Özçelik, Fatih Sarı & Hamit Yıldız - 2023 - European Journal of Therapeutics 29 (4): e28-e29.
    Dear Colleagues, -/- In this editorial, we would like to share with you important developments in the European Journal of Therapeutics (Eur J Ther). -/- First of all, as the editorial team, we would like you to know that we hold frequent meetings to benefit our esteemed colleagues and continue to work with great devotion in line with our goal of taking the journal further. We have previously shared with you that we have applied to many indexes. It is with (...)
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  38. Artificial intelligence: opportunities and implications for the future of decision making.U. K. Government & Office for Science - 2016
    Artificial intelligence has arrived. In the online world it is already a part of everyday life, sitting invisibly behind a wide range of search engines and online commerce sites. It offers huge potential to enable more efficient and effective business and government but the use of artificial intelligence brings with it important questions about governance, accountability and ethics. Realising the full potential of artificial intelligence and avoiding possible adverse consequences requires societies to find satisfactory answers to these questions. (...)
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  39. Effectiveness of Problem-Based Learning on Secondary Students’ Achievement in Science: A Meta-Analysis.Aaron Funa & Maricar Prudente - 2021 - International Journal of Instruction 14 (4):69-84.
    Preparing students for the real challenges in life is one of the most important goals in education. Constructivism is an approach that uses real-life experiences to construct knowledge. Problem-Based Learning (PBL), for almost five decades now, has been the most innovative constructivist pedagogy used worldwide. However, with the rising popularity, there is a need to revisit empirical studies regarding PBL to serve as a guide and basis for designing new studies, making institutional policies, and evaluating educational curricula. This need has (...)
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  40. KBS for Desktop PC Troubleshooting.Ahmed Wahib & Bastami Bashhar - 2017 - International Journal of Academic Pedagogical Research (IJAPR) 6 (2):1-7.
    Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and (...)
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  41. Making Better Informed, More Confident COVID-19 Decisions: Vaccine Hesitancy, Its Barriers and Impact Studies: Taking Bayelsa State as an Example.Morufu Olalekan Raimi, Emeka Chisom Lucky, Ebikapaye Okoyen, Angalabiri Clement, Christopher Ogbointuwei & Atoyebi Babatunde - 2021 - International Journal of Vaccines and Immunization 5 (1):1-13.
    Background: Health care practitioners are recognized to have a large influence in shaping uptake of vaccine in new borns, children, adolescents, as well as adults. Parents remain more secure in their decisions when health care practitioners communicate successfully with them about vaccine dangers and benefits, the value as well as necessity for vaccinations, as well as vaccine safety. Thus, immunization remain the foundation of the primary health care system, an indisputable human right as well as a global health and development (...)
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  42.  28
    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, (...)
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  43. ‘Silent Pandemic’: Evidence-Based Environmental and Public Health Practices to Respond to the COVID-19 Crisis.Morufu Olalekan Raimi, Aziba-Anyam Gift Raimi & Teddy Charles Adias - 2021 - London, UK: IntechOpen.
    Given the unprecedented novel nature and scale of coronavirus and the global nature of this public health crisis, which upended many public/environmental research norms almost overnight. However, with further waves of the virus expected and more pandemics anticipated. The COVID-19 pandemic of 2020 opened our eyes to the ever-changing conditions and uncertainty that exists in our world today, particularly with regards to environmental and public health practices disruption. This paper explores environmental and public health evidence-based practices toward responding to Covid-19. (...)
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  44.  37
    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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  45. Responding to the Call through Translating Science into Impact: Building an Evidence-Based Approaches to Effectively Curb Public Health Emergencies [Covid-19 Crisis]. [REVIEW]Morufu Olalekan Raimi, Kalada Godson Mcfubara, Oyeyemi Sunday Abisoye, Clinton Ifeanyichukwu Ezekwe, Olawale Henry Sawyerr & Gift Aziba-Anyam Raimi - 2021 - Global Journal of Epidemiology and Infectious Disease 1:12-45.
    COVID-19 demonstrated a global catastrophe that touched everybody, including the scientific community. As we respond and recover rapidly from this pandemic, there is an opportunity to guarantee that the fabric of our society includes sustainability, fairness, and care. However, approaches to environmental health attempt to decrease the population burden of COVID-19, toward saving patients from becoming ill along with preserving the allocation of clinical resources and public safety standards. This paper explores environmental and public health evidence-based practices toward responding to (...)
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  46.  28
    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, (...)
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  47. A review of environmental, social and health impact assessment (Eshia) practice in Nigeria: a panacea for sustainable development and decision making. [REVIEW]O. Omidiji Adedoyin, Morufu Olalekan Raimi, Sawyerr Henry Olawale & Odipe Oluwaseun Emmanuel - 2020 - MOJPH 9:81-87.
    Local participation is always beneficial for sustainable action and environmental problems resulting from urban implementation due to the failure of social and institutional change necessary for a successful transformation of rural life to urban life ahead of the rapid movement of the population. Despite good legal practice and comprehensive guidelines, evidence suggests that Environmental Impact Assessment (EIA) or more broadly Environmental, Social and Health Impact Assessment (ESHIA) have not yet been found satisfactory in Nigeria, as the current system amounts to (...)
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  48. Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm.Marco Cococcioni, Massimo Pappalardo & Yaroslav Sergeyev - 2018 - Applied Mathematics and Computation 318:298-311.
    Numerous problems arising in engineering applications can have several objectives to be satisfied. An important class of problems of this kind is lexicographic multi-objective problems where the first objective is incomparably more important than the second one which, in its turn, is incomparably more important than the third one, etc. In this paper, Lexicographic Multi-Objective Linear Programming (LMOLP) problems are considered. To tackle them, traditional approaches either require solution of a series of linear programming problems or apply a scalarization of (...)
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  49. What Does it Mean to Mimic Nature? A Typology for Biomimetic Design.Alessio Gerola, Zoë Robaey & Vincent Blok - 2023 - Philosophy and Technology 36 (4):1-20.
    In an effort to produce new and more sustainable technologies, designers have turned to nature in search of inspiration and innovation. Biomimetic design (from the Greek bios, life, mimesis, imitation) is the conscious imitation of biological models to solve today's technical and ecological challenges. Nowadays numerous different approaches exist that take inspiration from nature as a model for design, such as biomimicry, biomimetics, bionics, permaculture, ecological engineering, etc. This variety of practices comes in turn with a wide range of (...)
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  50. Artificial consciousness and the consciousness-attention dissociation.Harry Haroutioun Haladjian & Carlos Montemayor - 2016 - Consciousness and Cognition 45:210-225.
    Artificial Intelligence is at a turning point, with a substantial increase in projects aiming to implement sophisticated forms of human intelligence in machines. This research attempts to model specific forms of intelligence through brute-force search heuristics and also reproduce features of human perception and cognition, including emotions. Such goals have implications for artificial consciousness, with some arguing that it will be achievable once we overcome short-term engineering challenges. We believe, however, that phenomenal consciousness cannot be implemented in machines. This (...)
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