Results 221 to 230 of about 46,986 (307)
Accounting &Finance, EarlyView.ABSTRACT This study investigates the effects of environmental uncertainty, business strategy and management control systems on organisational learning and business performance. This study finds that environmental uncertainty is positively related to the intensity of the product differentiation strategy, and the intensity of the product differentiation ...
Dyna Rachmawati +2 more
wiley +1 more source
Degraded expression of learned feedforward control in movements released by startle. [PDF]
Exp Brain Res, 2015 Wright ZA +3 more
europepmc +1 more source
The oscillatory response of the electroretinogram and neuronal adaptation
Acta Ophthalmologica, EarlyView.Abstract After more than 50 years, there still remains a challenge and an interest to know more as well as extend and deepen our understanding of the small rapid wavelets, the oscillatory potentials (OPs), of the electroretinogram (ERG) and the neuronal adaptation of the retina.
Lillemor Wachtmeister, Anders Eklund
wiley +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source
British Journal of Pharmacology, EarlyView.Abstract Background and Purpose Chemotherapy‐induced peripheral neuropathy (CIPN) is a prevalent and treatment‐resistant side effect of platinum‐based chemotherapy, characterised by mechanical allodynia. Cannabigerol (CBG), a non‐psychoactive cannabinoid, has shown antinociceptive potential, but its site and mechanism of action remain unclear.
Quinn W. Wade +7 more
wiley +1 more source
PSHead: 3D Head Reconstruction from a Single Image with Diffusion Prior and Self‐Enhancement
Computer Graphics Forum, EarlyView.We introduce PSHead, a coarse‐to‐fine framework guided by both object and face priors, to produce a Gaussian‐based 3D avatar for a single frontal‐view reference image. In the coarse stage, we create an initial 3D representation by applying diffusion models trained for general object generation, using Score Distillation Sampling losses over novel views.
Jing Yang +4 more
wiley +1 more source
Robo‐Saber: Generating and Simulating Virtual Reality Players
Computer Graphics Forum, EarlyView.Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim +5 more
wiley +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Computer Graphics Forum, EarlyView.Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Computer Graphics Forum, EarlyView.Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton +5 more
wiley +1 more source
Class Angular Distortion Index for Dimensionality Reduction
Computer Graphics Forum, EarlyView.Abstract Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high‐level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over‐emphasize them.
Kaviru Gunaratne +2 more
wiley +1 more source