Results 161 to 170 of about 27,765 (261)

Cannabigerol reverses mechanical allodynia through α2A‐adrenergic modulation of thalamocortical signaling in chemotherapy‐induced neuropathy

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, Nathan Morris, Diana E. Sepulveda, Alonso Cortez‐Resendiz, Christopher Brandl, Jennifer E. Lausch, Mariya Starostina, Nicholas M. Graziane   +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, Tianhan Wu, Kyle Fogarty, Fangcheng Zhong, Cengiz Oztireli   +4 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, E. Alvarado, L. G. Foo, N. Pelechano, C. Andujar, M. Habermann   +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, Stephen Kobourov, Jacob Miller   +2 more
wiley   +1 more source

Dancing Points: Synthesizing Ballroom Dancing With Three‐Point Inputs

Computer Graphics Forum, EarlyView.
From a dancer's head and hands motion captured by VR devices, we synthesize full‐body ballroom dancing for both leader and follower dancers. We decompose this dual‐character synthesis into jointly predicting both dancers' three‐point trajectories, then recovering each full body independently, resulting in a stable, responsive model trained with limited
Peizhuo Li, Sebastian Starke, Yuting Ye, Olga Sorkine‐Hornung   +3 more
wiley   +1 more source

Selective autophagy pathways in ageing and neurodegeneration: Emerging roles for mitophagy and nucleophagy

The FEBS Journal, EarlyView.
As we age, cells gradually accumulate damage, which can contribute to disease and neurodegeneration. This review explores how two cellular recycling processes, mitophagy and nucleophagy, remove damaged mitochondria and nuclear material, respectively, to maintain cell health and long‐term neuronal homeostasis.
Maria Markaki, Nektarios Tavernarakis
wiley   +1 more source

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

International Endodontic Journal, EarlyView.
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas, Ingrid Luiza Mendonça Cunha, Thalita de Paris Matos, Flares Baratto‐Filho, Bianca Marques de Mattos de Araujo, Manoel Damião Sousa‐Neto, Leandro de Moura Martins, Fernando José Herkrath, Emílio Carlos Sponchiado‐Júnior, Cristiano Miranda de Araujo   +9 more
wiley   +1 more source

The application of machine learning models to optimal TSP tour length estimation

International Transactions in Operational Research, EarlyView.
Abstract The traveling salesman problem (TSP) is a well‐known NP‐hard problem in combinatorial optimization, with numerous applications in logistics and elsewhere. This paper introduces a machine learning‐based approach to estimate the optimal tour length of the TSP, using linear regression, random forests (RF), and neural networks, including ...
Shuhan Kou, Bruce Golden, Luca Bertazzi
wiley   +1 more source

Beyond the Adult Mind: A Developmental Framework for Predictive Processing in Infancy

Topics in Cognitive Science, EarlyView.
Abstract Predictive Processing has been proposed as the single unifying computation underlying all of cognition, and proponents argue that all psychological phenomena can be explained as consequences of this principle. This theoretical framework has inspired many cognitive scientists and neuroscientists, but it currently has no developmental mechanism ...
Emma K. Ward, Danaja Rutar, Lorijn Zaadnoordijk, Francesco Poli, Sabine Hunnius   +4 more
wiley   +1 more source