139,816 research outputs found
Three-Dimensional Acoustic Simulation on Acoustic Scattering by Nonlinear Internal Wave in Coastal Ocean
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Three-Dimensional Acoustic Simulation on Whispering gallery effect by Nonlinear Internal Wave in Coastal Ocean
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Ciencia, realidad y método en la obra de Linus Pauling
No full textTesis de la Universidad Complutense de Madrid, Facultad de Filosofía, Departamento de Filosofía I (Metafísica y Teoría del Conocimiento), leída el 05-06-2008Los estudios fragmentarios llevados a cabo hasta le fecha sobre la obra de Linus Pauling y todo cuanto se ha escrito sobre él han contribuido en la construcción de una imagen del científico estadounidense caracterizada por la discontinuidad y la fragmentación, por continuas rupturas y saltos temáticos. Sin embargo, sus investigaciones manifiestan, tal y como mostramos en este trabajo, la existencia de una profunda continuidad, de una posición epistemológica y ontológica realista fuertemente interiorizada. Neopitagórico en un contexto cuántico, seguidor de Platón, Schrödinger y Einstein, Pauling defendió siempre los métodos inductivo o hipotético-deductivo, hizo una valoración expresa del papel de la observación en el método científico, respetó claramente las aportaciones de la nueva lógica y la axiomatización de teorías, comulgando asimismo con el ideal de la ciencia unificada. A lo largo de este trabajo señalamos como su convicción de la existencia de una uniformidad, de una regularidad de la Naturaleza, de la existencia de una organización geométrica de las partes constituyentes de la materia –fuera ésta animada o inanimada–, condicionó y se encuentra presente a lo largo todo su obra científica.Depto. de Lógica y Filosofía TeóricaFac. de FilosofíaTRUEpu
linuswalter/WellPINN
No full textThis software computes the diffusion of fluid pressure p(x,y,t) in a 2D domain for a single injection well based on Physics Informed Neural Networks (PINN).The documentation is located in the README.md file.Pumping wells are a key component for modeling subsurface fluid flow, where their accurate representation is essential for reliable reservoir characterization through history matching of flow rates and well pressures, as well as for simulating operational scenarios. Physics-informed neural networks (PINNs) have recently emerged as a promising method for reservoir modeling, offering seamless integration of observational data and governing physical equations. However, existing PINN-based studies still face major challenges in capturing fluid pressure inference near pumping wells, particularly in the early phase after injection start. In response, we introduce 'WellPINN', a modeling workflow that combines the outputs of multiple sequentially trained PINN models. The first model covers the entire reservoir, while the size of each subsequently trained model equals the equivalent well radius of the previously trained model. This workflow allows us to iteratively approximate the radius of the equivalent pumping well to the actual pumping well dimensions.
Applied to a single pumping well in a two-dimensional domain, our forward model demonstrates how combining three PINNs can bridge a spatial scale spanning three orders of magnitude, from the reservoir boundary down to the well radius. The results showcase that our sequential training of superimposing networks around the pumping well is the first workflow that enables accurate inference of fluid pressure from pumping rates across the entire injection time, significantly advancing the potential of PINNs for inverse modeling and operational scenario simulations. Future research might enhance 'WellPINN' by employing it to an inverse problem. Additionally, further investigation could test its effectiveness for heterogeneous domains and multiple injection wells.LW acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program through the Starting Grant GEoREST (www.georest.eu) under Grant Agreement No. 801809.Peer reviewe
How Many Answers Are Enough? Optimal Number of Answers for Q&A Sites
No full textWith the proliferation of the social web, questions about information quality and optimization attract the attention of IS scholars. Question-answering (QA) sites, such as Yahoo!Answers, have the potential to produce good answers, but at the same time not all answers are good and not all QA sites are alike. When organizations design and plan for the integration of question answering services on their sites, identification of good answers and process optimization become critical. Arguing that ‘given enough answers all questions are answered successfully,’ this paper identifies the optimal number of posts that generate high quality answers. Based on content analysis of Yahoo! Answers’ informational questions (n=174) and their answers (n=1,023), the study found that seven answers per question are ‘enough’ to provide a good answer
El reduccionismo fisicalista en la obra Biológica de Linus Pauling
No full textLinus Pauling, uno de los científicos más importantes e influyentes en el desarrollo de la biología del siglo XX, llevó a cabo sus trabajos de investigación en este ámbito marcado fuertemente por su concepción estructuralista de la química. No exenta de críticas, su concepción fisicalista de la biología le permitió estudiar no sólo fenómenos bioquímicos puntuales, sino extender sus exploraciones hasta el campo de la evolución molecular. A lo largo de las siguientes páginas intentaremos ver en qué consistió dicha concepción reduccionista así como los problemas de carácter ontológico y epistemológico con los que se tuvo que enfrentar. Linus Pauling, one of the most important and influential developer of biology in the 20th century, carried out his research work in this area strongly marked by a structuralist conception of chemistry. Not without criticism, his biology fisicalist conception allowed studies not only in specific biochemical phenomena, but extended his explorations to the field of molecular evolution. In the following pages we will try to see what this reductionist conception consisted in, as well as the ontological and epistemological problems that it faced
Pop-Up Reality Shop: Functional Aesthetics of Haptic-Digital Space
No full textFull text is available to authenticated members of The University of Auckland only.Pop-Up Reality Shop is a research project that is supported by Datacom Group Ltd in the development of new concepts for hybrid retail shops. The thesis is situated in Auckland’s first and leading innovation hub for Augmented Reality and Virtual Reality technologies; the ‘AR/VR Garage’ and is embedded in the research at the Lab for Digital Spatial Operations (arc/sec) at the University of Auckland. A team of four Architectural Post Graduate students, Anita Chin, Linus Goh, Ricky Tung and Bevin Liang had embarked on a one year project to investigate the merging of physical properties with digital information to form a new responsive Architecture. The team utilizes AR/VR headset tools to actively link touchable physical matter with digital materiality and to create unique user experiences in haptic digital space. The application of these devices allows us to simultaneously reinvent and reimagine the future of interactive space, going beyond our traditional understanding of both architecture and technology, towards a collaborative and experimental mode of practice. The advent of augmented, virtual and mixed reality technologies calls for new methodologies for designing spaces. This thesis is a highly experimental and investigative project which addresses the functional identity of such spaces, delving into ways this new practice can expand our understanding of physical space as opposed to simulating physical experience
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