Results 11 to 20 of about 1,552,104 (290)
I am grateful to my colleague and friend, Editor-in-Chief Sherwood Brown, for this opportunity to extoll Dr. Alan Green, MD (1953–2020) as a humanitarian and as a clinician scientist.
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Generalized Symmetries for Generalized Gravitons
Construimos simetrías generalizadas para la gravedad de Einstein linealizada en dimensiones arbitrarias. Las consideraciones de primer principio en la teoría cuántica de campos obligan a que las simetrías generalizadas aparezcan en pares duales. Verificar esta predicción nos ayuda a encontrar el conjunto completo de cargas conservadas no triviales ...
Valentín Benedetti +2 more
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The Importance of Being Interpreted: Grounded Words and Children’s Relational Reasoning
Although young children typically have trouble reasoning relationally, they are aided by the presence of relational words (e.g., Gentner & Rattermann, 1991).
Ji Yun Son +3 more
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Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient
There has been substantial growth in research on the robot automation, which aims to make robots capable of directly interacting with the world or human. Robot learning for automation from human demonstration is central to such situation.
Junjie Cao +3 more
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INTEGRATED OPTIMIZATION MODEL OF MANUFACTURING AND TRANSPORTATION PROCESSES
This paper is devoted to constructing a linear mixed-integer model, finding a method and selecting an algorithm to determine the optimal solution to the production and transportation problem.
R. S. Rogulin +2 more
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In this paper, generalization for the Lindstedt-Poincaré perturbation method for nonlinear oscillators to a class of strongly mixed-parity oscillating system is established.
W. P. Sun, C. W. Lim
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Completely integrable systems: a generalization [PDF]
We present a slight generalization of the notion of completely integrable systems to get them being integrable by quadratures.
D. V. Alekseevsky +7 more
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Feedback-Based Validation Learning
This paper presents Feedback-Based Validation Learning (FBVL), a novel approach that transforms the role of validation datasets in deep learning. Unlike conventional methods that utilize validation datasets for performance evaluation post-training, FBVL ...
Chafik Boulealam +4 more
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Many teachers have trouble transitioning their students between natural recursive thinking about the data and algebraic notation for representing linear functions (Zazkis & Liljedahl, 2002).
Tamara Pearson +2 more
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A Generalization of Quantum Statistics [PDF]
We propose a new fractional statistics for arbitrary dimensions, based on an extension of Pauli's exclusion principle, to allow for finite multi-occupancies of a single quantum state.
Chen, Wei, Ng, Jack Y., van Dam, Hendrik
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