Results 201 to 210 of about 1,017,221 (299)
Propolis alleviates brain tissue damage and oxidative abnormalities in streptozotocin (STZ)-induced diabetes. [PDF]
Ashour AM.
europepmc +1 more source
ABSTRACT This research investigates the interplay between legitimacy theory and Society 5.0, focusing on how Industry 4.0 technologies can support sustainable practices within MNEs. Our theoretical model highlights the significance of intra‐ and inter‐societal collaboration, advocating that MNEs engage all stakeholders through transparent ...
Salman Kimiagari, Rishi Kumar
wiley +1 more source
Reflective AI use and student engagement in AI-supported programming: technology acceptance, programming self-efficacy, and behavioral trace evidence. [PDF]
Wang S, Zhao J.
europepmc +1 more source
Unveiling Otolith Mystery: Contemporary Testing Approaches and Their Clinical Significance
ABSTRACT Objective Otolith is a critical component of the peripheral vestibular system responsible for detecting linear acceleration. Dysfunction of the otolith organs can lead to vertigo, balance disturbances, and gaze instability. By elucidating the physiological foundations and evaluating both current and emerging methods for assessing otolith ...
Shun Zhou +16 more
wiley +1 more source
Training the public health workforce for generative AI: validation of the Italian Chatbot Usability Questionnaire. [PDF]
Baglivo F +10 more
europepmc +1 more source
Experimental layout comparing 3 survey methods (tree‐mounted cameras, enclosed camera traps, and a detection dog) and 2 scent lures (rabbit urine and weasel gland paste) for detecting eastern spotted skunks (Spilogale putorius) in Florida, USA. All survey methods yielded low but similar detection probabilities.
Kendyl N. Hassler +2 more
wiley +1 more source
Erratum for Chee et al., "QuantiFERON-TB Gold Plus CD8+ T cell responses in contacts with tuberculosis disease and recent tuberculosis infection". [PDF]
Chee CB-E, Kyi-Win K, Tan S, Wang Y-T.
europepmc +1 more source
Towards data‐driven predictive maintenance for vacuum ion pumps at European XFEL
This paper presents a machine‐learning‐based approach for early fault detection in vacuum ion pumps at the European XFEL by analyzing pressure data to detect fault precursors. The developed method enables predictive maintenance, reducing unplanned downtime and improving operational reliability.Large‐scale scientific facilities, such as the European ...
Amna Majid +6 more
wiley +1 more source

