Results 201 to 210 of about 12,479,494 (235)
The use of polyurethane foam-sand mixtures in sandy embankment design- predicting seismic response using FEM, catastrophe theory, B-spline method, and artificial neural networks. [PDF]
Mughieda O, Namdar A, Nie W.
europepmc +1 more source
ABSTRACT This study examines the relationship between sustainability certifications and employee satisfaction by conceptualizing certifications as external signals and internal organizational resources. Drawing on signaling theory and the resource‐based view (RBV), a purposively selected dataset of 172 certified firms and a comparison group of 20,026 ...
Malte Bau, Sumaya Islam, Michael Wunsch
wiley +1 more source
Edge Fluid Turbulence Simulations of Stellarators With GRILLIX
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir +4 more
wiley +1 more source
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang +6 more
wiley +1 more source
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang +6 more
wiley +1 more source
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli +12 more
wiley +1 more source
Reduced size of larvae and small fish linked to warming and reduced prey density
Body size is an integrative trait that has declined across many ecological assemblages in the last decades. Changes in body size of early life stages and small‐bodied fish are driven by complex interactions between size‐dependent mortality, and temperature‐ and food‐dependent growth, and can have consequences for recruitment to the adult stock and food
Max Lindmark +6 more
wiley +1 more source
Mycorrhizal symbioses influence woody species diversity, but whether this association shifts with forest stand development remains underexplored. Using forest inventory data across subtropical and tropical forests in Taiwan, we found that woody species diversity was lower in ectomycorrhizal (EM)‐dominated than in arbuscular mycorrhizal (AM)‐dominated ...
Albert Vilà‐Cabrera +8 more
wiley +1 more source
Habitat fragmentation alters species diversity and reshapes community composition. However, conventional pairwise approaches to compositional variation (i.e. beta diversity metrics) do not explicitly characterize how species sharing or turnover change with the number of habitat patches.
Shirui Yu +11 more
wiley +1 more source
Variable importance derived from species distribution modelling (SDM) is widely used to identify key environmental drivers of species distributions. However, the reliability of these inferences has rarely been systematically evaluated, particularly with respect to their sensitivity to individual occurrences.
He Wu +4 more
wiley +1 more source

