Results 121 to 130 of about 539,396 (266)
An adaptive random search for short term generation scheduling with network constraints. [PDF]
PLoS One, 2017 Marmolejo JA, Velasco J, Selley HJ.
europepmc +1 more source
Arthritis Care &Research, Accepted Article.Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical frailty index (FI).
Grace Burns +2 more
wiley +1 more source
Normal and tumoral melanocytes exhibit q-Gaussian random search patterns. [PDF]
PLoS One, 2014 da Silva PC +4 more
europepmc +1 more source
Arthritis Care &Research, Accepted Article.Objective Despite well‐described biological causes, the public views unhealthy lifestyle choices as the primary cause of gout. This study investigated how causal beliefs about gout influence the public's views about its management. Methods In a randomized study, 201 members of the public viewed one of two 2‐minute videos about gout.
Rachel Murdoch +6 more
wiley +1 more source
Random search algorithm for solving the nonlinear Fredholm integral equations of the second kind. [PDF]
PLoS One, 2014 Hong Z, Yan Z, Yan J.
europepmc +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
International Journal of Adaptive Control and Signal Processing, EarlyView.Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans. [PDF]
Elife, 2016 Roberts WM +11 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Sensing and decision-making in random search. [PDF]
Proc Natl Acad Sci U S A, 2012 Hein AM, McKinley SA.
europepmc +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source