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6101
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6102por Taher, Raihan“…Object-oriented programming (OOP) is a programming paradigm organized around objects rather than actions and data rather than logic. …”
Publicado 2019
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6103por Bandyopadhyay, Avimanyu“…GPU technologies are the paradigm shift in modern computing. This book will take you through architecting your GPU-based systems to deploying the computational models on GPUs for faster processing. …”
Publicado 2019
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6104por Ancona, Davide, Bono, Viviana, Bravetti, Mario, Campos, Joana, Castagna, Giuseppe, Deniélou, Pierre-Malo, Gay, Simon J, Gesbert, Nils, Giachino, Elena, Hu, Raymond“…Each section covers a particular programming paradigm or methodology, providing an ideal reference on the topic and identifying the areas as yet unexplored.…”
Publicado 2016
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6105Publicado 2006“…"As if inventing the World-Wide Web were not revolutionary enough, the European Organisation for Nuclear Research (CERN) is now on its way to unleashing a paradigm shift in the world of academic publishing. …”
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6106“…Dijet production in hadron-hadron collisions provides the paradigm, i.e. h_1 +h_2 \to jj+X. In particular, we look at the case where there is a restriction placed on the emission of any further jets in the region in between the primary (highest p_T) dijets. …”
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6107“…This book is unique in that it covers the philosophy of model-based data analysis and an omnibus strategy for the analysis of empirical data The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data Kullback-Leibler information represents a fundamental quantity in science and is Hirotugu Akaike's basis for model selection The maximized log-likelihood function can be bias-corrected to provide an estimate of expected, relative Kullback-Leibler information This leads to Akaike's Information Criterion (AIC) and various extensions and these are relatively simple and easy to use in practice, but little taught in statistics classes and far less understood in the applied sciences than should be the case The information theoretic approaches provide a unified and rigorous theory, an extension of likelihood theory, an important application of information theory, and are objective and practical to employ across a very wide class of empirical problems Parameter estimation has long been viewed as an optimization problem (eg, maximize the log-likelihood or minimize the residual sum of squared deviations) and under the information theoretic paradigm, data-based model selection is also an optimization problem This brings model selection and parameter estimation under a common framework - optimization The value of AIC is computed for each a priori model to be considered and the model with the minimum AIC is used for statistical inference However, the paradigm described in this book goes beyond merely the computation and interpretation of AIC to select a parsimonious model for inference from empirical data; it refocuses increased attention on a variety of considerations and modeling prior to the actual analysis of data…”
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6108por Savoye, Yann“…To solve this challenge, we directly rely on a skin-detached dimension reduction thanks to the well-known cage-based paradigm. First, we achieve Scalable Inverse Cage-based Modeling by transposing the inverse kinematics paradigm on surfaces. …”
Publicado 2014
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6109“…According to the ideal walking technicolor paradigm, large mass anomalous dimensions arise in gauged Nambu–Jona-Lasinio (NJL) models when the four-fermion coupling is sufficiently strong to induce spontaneous symmetry breaking in an otherwise conformal gauge theory. …”
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6110“…The use of robots in a telerehabilitation paradigm could facilitate the delivery of rehabilitation on demand while reducing transportation time and cost. …”
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6111por Crossley, Michael, Benjamin, Paul R., Kemenes, György, Staras, Kevin, Kemenes, Ildikó“…Pharmacological circuit manipulation in vivo fully substitutes for strong paradigm learning, shifting the network into a more receptive state to enable subsequent weak paradigm learning. …”
Publicado 2023
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6112“…The grievance fueled violence paradigm encompasses various forms of targeted violence but has not yet been extended to the theoretical discussion of sexual violence. …”
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6113“…Judgement bias, or ‘optimism’ and ‘pessimism’, has been demonstrated across many taxa, yet the cognitive mechanisms underlying this behaviour remain unclear. In an optimism paradigm, animals are trained to an association, and, if given a positive experience, behave more favourably towards ‘ambiguous’ stimuli. …”
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6114“…Maternal deprivation (DEP) for 24 h is a paradigm widely used to disinhibit the hypothalamic–pituitary–adrenal axis response to stress during the stress hyporesponsive period. …”
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6115“…The task-switching paradigm is deemed a measure of cognitive flexibility. …”
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6116por Thompson, Henry J., Lutsiv, Tymofiy, McGinley, John N., Hussan, Hisham, Playdon, Mary C.“…Herein, we present a paradigm for investigating precision dietary patterns that leverages the approaches that led to successful small-molecule inhibitors in cancer treatment, namely understanding the pharmacokinetics and pharmacodynamics of small molecules for targeting carcinogenic mechanisms. …”
Publicado 2023
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6117“…Recently, a few researchers have started to use the approach–avoidance task (AAT) paradigm to study the approach bias of IGD, and they also think it is an essential characteristic of IGD. …”
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6118por Kim, Hyung Cho, Kaplan, Claire M., Islam, Samiha, Anderson, Allegra S., Piper, Megan E., Bradford, Daniel E., Curtin, John J., DeYoung, Kathryn A., Smith, Jason F., Fox, Andrew S., Shackman, Alexander J.“…The threat-anticipation paradigm had the expected consequences, amplifying subjective distress and arousal, and recruiting the canonical threat-anticipation network. …”
Publicado 2023
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6119“…Natural PHA biopolyesters represent that paradigm shift.…”
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6120“…Current approaches favor the keypoint detection-based paradigm, as it eases the learning by circumventing the highly non-linear problem of direct regressing keypoint coordinates. …”
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