Results 211 to 220 of about 66,920 (303)

CANRIG: Cross‐Attention Neural Face Rigging with Variable Local Control

Computer Graphics Forum, EarlyView.
Abstract Facial animation is one of the most labor‐intensive aspects of animation and VFX, as traditional rigging consumes weeks of expert time and forces animators to spend countless hours manipulating hundreds of controls to achieve varied expressions.
Arad Mohammadi, Sebastian Weiss, Jakob Buhmann, Loic Ciccone, Robert W. Sumner, Derek Bradley, Martin Guay   +6 more
wiley   +1 more source

Nanoindentation Analysis of SU-8 Coated Wafers at Different Baking Phases. [PDF]

Polymers (Basel)
Tarjányi T, Gulyás G, Bali K, Sámi M, Kiss RA, Beiler B, Fürjes P, Szabó T.   +7 more
europepmc   +1 more source

1H NMR metabolomics and lipidomics analysis of neutrophils reveals biomarkers of ageing, inflammageing and frailty

The FEBS Journal, EarlyView.
Using 1H NMR metabolomics, we measured polar and lipid metabolites from human blood neutrophils from people with frailty (n = 31, mean age 84Y), people with rheumatoid arthritis (n = 16, mean age 55Y), robust older (n = 24, mean age 66Y) and healthy younger people (n = 21, mean age 22Y).
Genna Ali Abdullah, Grace Filbertine, Lucy Gill, Asangaedem Akpan, Marie M. Phelan, Helen Louise Wright   +5 more
wiley   +1 more source

Mechanism and Modeling of Moisture-Dependent Dielectric Properties of Cement-Based Composites for Enhanced Ground Penetrating Radar Applications. [PDF]

Materials (Basel)
Wang T, Zhang B, Gao Y, Wang X, Wang D.
europepmc   +1 more source

Diagnostic Accuracy of Dentin Sclerosis by Optical Coherence Tomography and the North Carolina Index in Noncarious Cervical Lesions

Journal of Esthetic and Restorative Dentistry, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of optical coherence tomography (OCT) and the North Carolina Index (NCI) for identifying dentin type (sclerotic vs. nonsclerotic) in natural noncarious cervical lesions (NCCLs). Materials and Methods Thirty extracted human premolars with 30 NCCLs (90 regions of interest) were analyzed. Two blinded,
Nathalie Murielly Rolim de Abreu, Rudyard dos Santos Oliveira, Anauara Lima e Silva, Laryssa Mylenna Madruga Barbosa, Alessandro Dourado Loguercio, Frederico Barbosa de Sousa   +5 more
wiley   +1 more source

Nondestructive individual tree aboveground biomass estimation using a hierarchical Bayesian approach in combination with individual tree competition indices. [PDF]

Plant Phenomics
Zhang Z, Zhao Y, Zhen Z, Zhao Y, Li J, Zhou Y.   +5 more
europepmc   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

Journal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester, Adam Anders, Julio Spadotto, Hannah Eccleston, William Beavan, Hugues Arcis, Brian J. Connolly   +6 more
wiley   +1 more source

Microstructure Identification of Additive Manufactured Titanium Alloy by Using Lamb Wave-DenseNet Network. [PDF]

Sensors (Basel)
Huang Y, Zhao Y, Zhao G, Yang P.
europepmc   +1 more source

Advancing collagen‐related pathology assessment through second‐harmonic generation imaging

Journal of Microscopy, EarlyView.
Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues, Manikanth Karnati, Gagan Raju, Edwin Pious, Ankur Gogoi, Guan‐Yu Zhuo, Nirmal Mazumder, Fu‐Jen Kao   +7 more
wiley   +1 more source

Enabling nondestructive observation of electrolyte composition in batteries with ultralow-field nuclear magnetic resonance. [PDF]

Chem Sci
Fabricant AM, Picazo-Frutos R, Teleanu F, Rees GJ, Kircher R, Lin M, Evans W, Luc PM, House RA, Bruce PG, Krüger P, Blanchard JW, Eills J, Sheberstov KF, Körber R, Budker D, Barskiy DA, Jerschow A.   +17 more
europepmc   +1 more source