Results 151 to 160 of about 151,897 (324)
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization [PDF]
Hao Lü, Mengdi Wang
openalex +1 more source
We are what we eat: Cross‐cultural self‐prioritization effects for food stimuli
Abstract Previous research has shown that the concept of self is malleable and can be associated with various arbitrary stimuli. This study explored whether the self could be linked to images of food representative of one's own or a different culture.
Mario Dalmaso +3 more
wiley +1 more source
Social media data crowdsourcing as a new stream for environmental planning & monitoring: A review
B L Lawu +3 more
openalex +1 more source
Misophonia symptom severity is linked to impaired flexibility and heightened rumination
Abstract Misophonia is a disorder involving sensitivity to certain sounds and related stimuli. Here, we explore the relationship between misophonia and affective flexibility, which describes cognitive shifting abilities in the face of emotion‐evoking stimuli.
Vivien K. Black +4 more
wiley +1 more source
BEESMART – A CROWDSOURCING PROJECT WITH SMARTPHONES [PDF]
Eberhard Gülch, S. Uddin, Bettina Willi
openalex +1 more source
Abstract Collective narcissism and non‐narcissistic ingroup positivity (notably collective self‐esteem) are associated differently with conspiracy beliefs. We conducted three cross‐sectional surveys in China and the United States that distinguished between ingroup and outgroup conspiracy beliefs, to explore the intricate relationships and underlying ...
Jia‐Yan Mao +3 more
wiley +1 more source
Abstract In the current research, we use network analysis to examine the structure, ideological foundations and correlates of climate change conspiracy theories, distinguishing between denialist and warmist beliefs. Denialist beliefs, typically endorsed on the political right, claim that climate change is exaggerated, whereas warmist beliefs, more ...
Dylan de Gourville +2 more
wiley +1 more source
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley +1 more source
Why Interest Groups With Divergent Goals Collaborate: Evidence From Climate Regulation
ABSTRACT Why do interest groups with contrasting interests and policy goals work together? I present a theory of collaborative policy production and show that interest groups can achieve higher policy gains through collaboration, even though their ideal policy goals may diverge significantly.
Dahyun Choi
wiley +1 more source

