Results 211 to 220 of about 12,814,396 (386)

Infrared Neural Stimulation Elicits Distinct Molecular Pathways in Astrocytes Based on Laser Pulse Parameters

open access: yesAdvanced Biology, EarlyView.
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]

open access: yesHealthcare (Basel)
Bellali T   +5 more
europepmc   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
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

Relative Performance Pay, Bonuses, and Job-Promotion Tournaments [PDF]

open access: yes
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

open access: yesCareer Development International, 2020
De Cuyper, Nele   +3 more
openaire   +2 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
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

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