Results 31 to 40 of about 1,721,748 (226)
Arthritis Care &Research, EarlyView.Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George +7 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities, and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification.
Sung‐A Kim +2 more
wiley +1 more source
A heuristic model of bounded route choice in urban areas [PDF]
, 2015 There is substantial evidence to indicate that route choice in urban areas is complex cognitive process, conducted under uncertainty and formed on partial perspectives. Yet, conventional route choice models continue make simplistic assumptions around the
Manley, EJ +7 more
core +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Recognition-based judgments and decisions: What we have learned (so far) [PDF]
Judgment and Decision Making, 2011 This special issue on recognition processes in inferential decision making represents an adversarial collaboration among the three guest editors. This introductory article to the special issue's third and final part comes in three sections. In Section 1,
Julian N. Marewski +2 more
doaj +3 more sources
Communicating Recognition & Rewards experiences: Tips and tricks
These guidelines support communications and marketing employees in the preparation and execution stages of creating a story about someone’s experiences with Recognition & Rewards (R&R) principles and themes.
Recognition & Rewards
core +2 more sources
Advanced Engineering Materials, EarlyView.This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Physiological arousal in processing recognition information: Ignoring or integrating cognitive cues?
Judgment and Decision Making, 2010 The recognition heuristic (RH; Goldstein & Gigerenzer, 2002) suggests that, when applicable, probabilistic inferences are based on a noncompensatory examination of whether an object is recognized or not.
Guy Hochman +5 more
doaj +1 more source