Results 171 to 180 of about 50,830 (305)
This study aims to analyze the most effective communication strategies, personal branding, social media utilization, and data-driven campaign methods in influencing public opinion and mobilizing support. Qualitative descriptive research methods were employed to collect data through in-depth interviews, direct observation, and the analysis of documents ...
openaire +1 more source
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Methodological reflections to support good practice in using nominal group techniques: Insights from applications in palliative care studies. [PDF]
Liang HJ, Xiong Q, Preston N.
europepmc +1 more source
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun +6 more
wiley +1 more source
The perils of politeness: how large language models may amplify medical misinformation. [PDF]
Rosen KL +4 more
europepmc +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Does Knowledge of Clinical Case Outcome Influence Supervisor Evaluation of Resident Clinical Reasoning? [PDF]
van Sassen C +4 more
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Simulating the "cultural other": the impact of GenAI interlocutors on EFL learners' intercultural communicative competence, speaking anxiety, and learning engagement. [PDF]
Qu Z, Chen L.
europepmc +1 more source
Data‐Driven Modeling of Forces Exerted by Pneumatic Actuators for a Pediatric Exosuit
This work presents the experimental analysis and data‐driven modeling of the interaction forces between soft pneumatic actuators designed to assist upper‐extremity motion in a pediatric exosuit and an engineered test rig, across different experimental conditions: (A) force profiling of shoulder actuators, with varying actuator anchoring points and ...
Mehrnoosh Ayazi +4 more
wiley +1 more source

