Strain-Based Monitoring Methodology and Numerical Validation for the Evaluation of Transverse Connection Condition in Precast Multi-Girder Bridges. [PDF]
Zheng W, Wei H, Jiang J, Li W.
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MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
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What Drives the Changing Characteristics of Plankton in Floodplain Lakes: Season, Environmental Factors, or Lake Characteristics? [PDF]
Jiang L +6 more
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Dynamic Pareto Optimization of Consolidated Bioprocessing for Ethanol Titer, Productivity, Conversion, and Operating Severity. [PDF]
Korang Yeboah M, Asiedu NY, Addo A.
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Evolution of strategies in iterated games: a deep multi-agent reinforcement learning approach with hybrid genetic and CMA-ES optimization. [PDF]
Li S, Deb Nath A, Al-Amin MH.
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The lightness/pitch crossmodal correspondence modulates reported dominance in binocular rivalry. [PDF]
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Spatiotemporal bidding for multi-energy systems with photovoltaic dominance: a scenario-based Stackelberg-Nash game formulation. [PDF]
Qiao H, Wen S, Zhang Y, Zhang J, Li K.
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A Model of Probabilistic Choice Satisfying First-Order Stochastic Dominance
Management Science, 2011This paper presents a new model of probabilistic binary choice under risk. In this model, a decision maker always satisfies first-order stochastic dominance. If neither lottery stochastically dominates the other alternative, a decision maker chooses in a probabilistic manner.
Pavlo R Blavatskyy
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Almost first-order stochastic dominance by distorted expectations
Probability in the Engineering and Informational Sciences, 2022Almost stochastic dominance has been receiving a great amount of attention in the financial and economic literatures. In this paper, we characterize the properties of almost first-order stochastic dominance (AFSD) via distorted expectations and investigate the conditions under which AFSD is preserved under a distortion transform.
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