Results 231 to 240 of about 320,245 (358)

The credibility struggle of mRNA vaccine rumors: A communication model to understand the impact of skepticism on public perception. [PDF]

J Public Health Res
Hammarlin MM, Miegel F, Kokkinakis D, Stoencheva J.   +3 more
europepmc   +1 more source

Social Response to Mindfulness in Azerbaijan: The Impact of Skepticism and Stigma on Interest in and Willingness to Practice Mindfulness Among Azerbaijani Adults.

Eynaliyeva, Fidan
openalex   +1 more source

Hyper-Russellian Skepticism

, 2017
Giuliano Torrengo
openalex   +2 more sources

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

Advanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao   +6 more
wiley   +1 more source

'Why Bother?' Skeptical Doubt and Moral Imagination in Care for People with Profound Intellectual Disabilities. [PDF]

Cult Med Psychiatry
van der Weele S.
europepmc   +1 more source

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

Advanced Intelligent Systems, EarlyView.
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong, Jungjae Lee, Byung‐Hyun Song, Yong‐Lae Park   +3 more
wiley   +1 more source

Virtual Nursing and the Future of Workforce Sustainability. [PDF]

JAMA Netw Open
Khairat S, Clipper B.
europepmc   +1 more source

Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing

Advanced Intelligent Systems, EarlyView.
Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner, Rafael Vorländer, Oliver Hayden   +2 more
wiley   +1 more source

Building critical thinking in pre-service teachers: Dispositions, skills, and standards. [PDF]

PLoS One
Önal İ.
europepmc   +1 more source

Response to Comments on “Supply Skepticism Revisited” [PDF]

Vicki Been, Ingrid Gould Ellen, Katherine M. O’Regan   +2 more
openalex   +1 more source