Results 181 to 190 of about 5,638,042 (286)
Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research
Advanced Intelligent Discovery, EarlyView.A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi +2 more
wiley +1 more source
Implementation of a trauma-informed care initiative at FQHCs in Texas. [PDF]
Front Health ServBarnes R +5 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.How much material loss is concealed beneath a layer of corrosion products? This proof‐of‐concept study demonstrates how concealed volume loss is inferred from the optical appearance and as‐exposed surface topography of AZ31 corrosion imprints. By predicting postcleaning depth maps, a multimodal U‐Net model estimates hidden volume loss without chromic ...
Lars Dammann +8 more
wiley +1 more source
Formative and summative evaluation report
This Deliverable includes the formative evaluation related to specific implementation barriers, and the results will be feedback to the involved partners and stakeholders from the five regions and the WBs in general as well as reflections related to the sustainability of the change processes invoked by WBC-RRI.NET.
openaire +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Implementing patient- and family-centered rounds training with direct-observation assessment for medical students in the United States: a prospective feasibility study. [PDF]
J Educ Eval Health ProfXiao E, Chen E, Pahwa A.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Helpful if "Medication took up more space in the course!" - a mixed methods study about pharmacotherapeutic knowledge and digital quizzes for learning and assessment in the medical programme. [PDF]
BMC Med EducWallerstedt SM +5 more
europepmc +1 more source
D1.4.3 Summative Evaluation Report
Results of final evaluation. The deliverable is related to Milestone Ms13.[month 42]
openaire +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source