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2005
Con la consecucion del periodista multimedia se persigue una gestion del tiempo mas productiva y calidad de informacion. El periodista tratara menos temas, pero estos los tratara mas en profundidad: para Internet, de forma breve, precisa y con presteza; para la radio, por medio de conexiones telefonicas; para la television, con entrevistas e imagenes; para el semanario en papel, mas en profundidad, con fotos y textos desarrollados. El desafio del futuro sera la gestion de la informacion, no tanto la repeticion de la misma en distintos medios. Habra de garantizarse la obtencion de la informacion, su organizacion y su autenticidad. Esto se llevara a cabo por medio del .periodista multimedia., no con el .periodista multitarea..
Transactions of the Japanese Society for Artificial Intelligence
クラスタリングを用いたマルチユーザラーニングエージェント(MULA-C)2007 •
American Journal of Bioethics
A personalized patient preference predictor for substituted judgments in healthcare: technically feasible and ethically desirable2024 •
When making substituted judgments for incapacitated patients, surrogates may often struggle to guess what the patient would want if they had capacity. Surrogates may also agonise over having the (sole) responsibility of making such a determination. To address such concerns, a Patient Preference Predictor (PPP) has been proposed that would use an algorithm to infer the treatment preferences of individual patients from population-level data about the known preferences of people with similar demographic characteristics. However, critics have suggested that even if such a PPP were more accurate, on average, than human surrogates in accurately identifying patient preferences, the proposed algorithm would nevertheless fail to respect the patient’s (former) autonomy since it draws on the ‘wrong’ kind of data: namely, data that are not specific to the individual patient and which therefore may not reflect their actual values, or their reasons for having the preferences they do. Taking such criticisms on board, we here propose a new approach: the Personalized Patient Preference Predictor (P4). The P4 is based on recent advances in machine learning, which allow technologies including large language models to be more cheaply and efficiently ‘fine-tuned’ on person-specific data. The P4, unlike the PPP, would be able to infer an individual patient’s preferences from material (e.g., prior treatment decisions) that is in fact specific to them. Thus, we argue, in addition to being potentially more accurate at the individual level than the previously proposed PPP, the predictions of a P4 would also more directly reflect each patient’s own reasons and values. In this article, we review recent discoveries in artificial intelligence research that suggest a P4 is technically feasible, and argue that, if it is developed and appropriately deployed, it should assuage some of the main autonomy-based concerns of critics of the original PPP. We then consider various objections to our proposal and offer some tentative replies.
Abstract : this study, which first aim was to demonstrate the correspondences between Gaulish and Slavic languages, between which I found 500 common words, also allowed me to demonstrate, on the basis of linguistic, genetic, archaeological and religious data, that these matches were linked with Neolithic expansion of agriculture and pastoralism from North-Western India and Pakistan to Iran, Mesopotamia, Anatolia, the Caucasus, the North of the Black Sea, Danubian and Balkanic Europe, and farther to Gaul and Iberia, where Neolithic farmers took part in the formation of the megalithic civilisation which developed from 5.000 BC. This explains the linguistic matches I established between Gaulish and Dravidian languages – 250 common words from the 500 words I studied (and 160 with Burushaski), as well as similarities I found in the organisation of the Society and religion, which lead certain researchers to suggest, on the basis of the spread of the very ancient haplogroup H2-P96 from India to Western Europe, that the first Europeans and the proto-Dravidians had a very ancient common origin. Extrait : cette étude, dont l’objectif initial était de démontrer les correspondances entre le gaulois et les langues slaves, entre lesquelles j’ai trouvé 500 mots communs, m’a en outre permis de démontrer, sur la base de données génétiques, archéologiques et religieuses, que ces correspondances étaient liées à des migrations Néolithiques d’Inde et du Pakistan du Nord-Ouest vers l’Iran, la Mésopotamie, l’Anatolie, le Caucase, le Nord de la Mer Noire, l’Europe danubienne et balkanique, la Gaule et l’Ibérie, où les agriculteurs néolithiques ont contribué à former la civilisation mégalithique qui s’est développée à partir de -5.000. Cela explique les correspondances linguistiques que j’ai établies entre le gaulois et les langues dravidiennes - 250 mots communs sur les 500 mots étudiés (et 160 avec le bourouchaski), et les similitudes constatées dans l’organisation de la société et la religion, qui amènent certains chercheurs à suggérer, sur la base de la diffusion du très ancien haplogroupe H2-P96 de l’Inde à l’Europe de l’Ouest, que les premiers Européens et les proto-Dravidiens avaient une origine commune très ancienne.
2022 •
Moses Alfian Rallu
Jurnal Menelusuri Estetika Seni dan Keindahan dalam Perspektif Filsafat2024 •
Comunidade Saker Latinoamericana
KAMALA HARRIS MERECE SER APOIADA PELOS PROGRESSISTAS?2024 •
New Journal of Physics
Preserving information from the beginning to the end of time in a Robertson–Walker spacetime2014 •
Cancer Gene Therapy
Biodistribution of an oncolytic adenovirus after intracranial injection in permissive animals: a comparative study of Syrian hamsters and cotton rats2008 •
2020 •
Molecular Therapy - Methods & Clinical Development
Reversing Acute Kidney Injury Using Pulsed Focused Ultrasound and MSC Therapy: A Role for HSP-Mediated PI3K/AKT Signaling2020 •
Journal of Applied Meteorology and Climatology
Creating Synthetic Wind Speed Time Series for 15 New Zealand Wind Farms2011 •
Water Research
Nowcast modeling of Escherichia coli concentrations at multiple urban beaches of southern Lake Michigan2005 •