Results 111 to 120 of about 171,197 (277)

Comprehensive Review of Digital Twin Technology for Deformable Objects: Integration of Modeling, Rendering, and Simulation

open access: yesIEEE Access
Digital Twin (DT) technology replicates the real world within a virtual environment, enabling real-time mapping of dynamic states from the real world to its virtual replica.
Hayeong Koo   +3 more
doaj   +1 more source

Generalizable Neural Human Renderer

open access: yes
While recent advancements in animatable human rendering have achieved remarkable results, they require test-time optimization for each subject which can be a significant limitation for real-world applications. To address this, we tackle the challenging task of learning a Generalizable Neural Human Renderer (GNH), a novel method for rendering animatable
Masuda, Mana   +4 more
openaire   +2 more sources

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Neural View-Interpolation for Sparse Light Field Video

open access: yes, 2019
We suggest representing light field (LF) videos as "one-off" neural networks (NN), i.e., a learned mapping from view-plus-time coordinates to high-resolution color values, trained on sparse views.
Bemana, M.   +3 more
core  

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

open access: yesFEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik   +6 more
wiley   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

open access: yesFEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane   +11 more
wiley   +1 more source

Heterogeneous Regularization for Fast Rendering Using Deep Spike Neural Network

open access: yesVietnam Journal of Computer Science
A Deep Spiking Neural Network (DSNN) with Heterogeneous Regularization learning technique is proposed to build a more biologically plausible approach that evaluates the amount of noise and finds a stopping criterion for fast realistic illumination.
Joseph Constantin   +3 more
doaj   +1 more source

Neural rendering enables dynamic tomography

open access: yes
Interrupted X-ray computed tomography (X-CT) has been the common way to observe the deformation of materials during an experiment. While this approach is effective for quasi-static experiments, it has never been possible to reconstruct a full 3d tomography during a dynamic experiment which cannot be interrupted.
Grega, Ivan   +2 more
openaire   +2 more sources

Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis

open access: yesFEBS Open Bio, EarlyView.
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho   +4 more
wiley   +1 more source

Application of image rendering based on improved neural networks and sensors in landscape design

open access: yesMeasurement: Sensors
Landscape planning and design is an indispensable part of modern urban construction. In landscape design, rendering technology can transform designers' imagination into actual images, allowing people to better understand the design intent.
Wu Ye
doaj   +1 more source

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