Results 211 to 220 of about 12,814,396 (386)
Impact of technological turbulence and competitive intensity on employee job performance: The role of workplace digitalization and job crafting. [PDF]
Liu T, Wu C, Zhang K, Ge M.
europepmc +1 more source
The impact of health-management training programs in Latin America on job performance [PDF]
Sonia Diaz-Monsalve
openalex +1 more source
Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams+7 more
wiley +1 more source
Enhancing Patient Safety Through Predictors of Job Performance in Greek Critical Care Nurses. [PDF]
Bellali T+5 more
europepmc +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Generative Artificial Intelligence Literacy: Scale Development and Its Effect on Job Performance. [PDF]
Liu X, Zhang L, Wei X.
europepmc +1 more source
Relative Performance Pay, Bonuses, and Job-Promotion Tournaments [PDF]
Several empirical studies have challenged tournament theory by pointing out that (1) there is considerable pay variation within hierarchy levels, (2) promotion premiums only in part explain hierarchical wage differences and (3) external recruitment is ...
Kräkel, Matthias, Schöttner, Anja
core
Impact of job insecurity on job performance introduction
De Cuyper, Nele+3 more
openaire +2 more sources
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi+4 more
wiley +1 more source
Correction: A value-based model of job performance. [PDF]
PLOS ONE Staff.
europepmc +1 more source