Results 171 to 180 of about 71,656 (344)
Gradient-Driven Physics Informed Neural Networks for Conduction Heat Transfer and Incompressible Laminar Flow. [PDF]
Lu T +5 more
europepmc +1 more source
Talent Management in SMEs: Unraveling the Role of Contextual Factors
ABSTRACT Employing a multiple case study analysis, this paper explores the contextual factors—internal, external, and relational—that affect small and medium‐sized enterprises (SMEs) in designing their approaches to talent management (TM). Results underscore the significance of two prominent internal variables—namely, organizational size and ownership ...
Franca Cantoni +2 more
wiley +1 more source
Investigating the effects of spring-loaded knee brace stiffness on gait biomechanics through predictive simulation. [PDF]
Wang K +5 more
europepmc +1 more source
Work Has Changed, Has HRM? Designing for the Distributed, Fragmented, and Fluid Era
ABSTRACT This paper addresses the growing misalignment between traditional human resource management (HRM) systems and the realities of distributed, fluid, and fragmented work. To address this issue, we introduce the FLUID‐HRM framework—a layered design architecture that reconfigures core HRM domains (resourcing, rewards, development, relations, work ...
Černe Matej, Lamovšek Amadeja
wiley +1 more source
Behavior of Electrothermal Actuator Analyzed by Polynomial Point Interpolation Collocation Method. [PDF]
Tang Y +6 more
europepmc +1 more source
An Automatic Collocation Extraction from Arabic Corpus [PDF]
Abdulgabbar Saif
openalex +1 more source
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley +1 more source

