Results 241 to 250 of about 13,074 (347)
Brand public opinion data analysis method based on deep learning. [PDF]
Li M, Chung W.
europepmc +1 more source
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan +10 more
wiley +1 more source
Development, Implementation, and Preliminary Results of a Novel Social Network for Rare Disease Communities: Mixed Methods Study. [PDF]
Fendrich L +9 more
europepmc +1 more source
ABSTRACT Introduction Firefighters may experience occupational exposure to per‐ and polyfluoroalkyl substances (PFAS). Volunteer firefighters make up 65% of the US fire service, but their serum PFAS profiles have not been well characterized. This study aims to (1) describe PFAS serum profiles among US volunteer firefighters from 9 states enrolled in ...
Katherine A. Lubina +16 more
wiley +1 more source
User snowball effect: word-of-mouth communication mechanism on console games. [PDF]
Huang W, Dai L, Wu G, Liu J, Jiang A.
europepmc +1 more source
Customer Citizenship Behaviour: The Mediating Role of Brand Trust among Online Brand Communities in Malaysia [PDF]
Siti Noor Aishah Mohd Sidik +3 more
openalex +1 more source
Streamlining Diagnosis of Bardet–Biedl Syndrome: New Diagnostic Algorithm With Updated Criteria
ABSTRACT Considerable advances have been made in our understanding of Bardet–Biedl syndrome (BBS), particularly in its core clinical features and molecular genetics, warranting an update to the existing diagnostic criteria framework. Using a rigorous, evidence‐based, and consensus‐driven process, a multidisciplinary group of international experts and ...
Jeremy J. Pomeroy +16 more
wiley +1 more source
Exploring drivers of modern Hanfu purchase in digital commerce: A mixed-methods perspective. [PDF]
Li H, Ding Y, Wu Y, Ye J.
europepmc +1 more source

