Results 111 to 120 of about 1,087,010 (389)

A Visible Light‐Responsive Hydrogel to Study the Effect of Dynamic Tissue Stiffness on Cellular Mechanosensing

open access: yesAdvanced Functional Materials, EarlyView.
A visible light‐responsive polyacrylamide‐azobenzene hydrogel enables safe, reversible stiffness control for studying cell mechanobiology without harmful UV exposure. This approach reveals stem cells respond rapidly to mechanical changes, showing altered shape and protein distribution within one hour.
Aafreen Ansari   +11 more
wiley   +1 more source

A Closer Look at Spatiotemporal Convolutions for Action Recognition

open access: yes, 2018
In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation that 2D CNNs applied to individual frames of the video have remained solid ...
LeCun, Yann   +5 more
core   +1 more source

Glucocorticoids Alter Bone Microvascular Barrier via MAPK/Connexin43 Mechanisms

open access: yesAdvanced Healthcare Materials, Volume 14, Issue 7, March 14, 2025.
Osteoporosis induced by Glucocorticoids (GCs) is a common complication of long‐term GC use in patients with inflammatory and autoimmune conditions, often leading to an increased fracture risk. A 3D bicellular endo‐osteo microfluidic platform is developed to explore pathogenic mechanisms underlying GCs‐induced osteoporosis, highlighting a novel MAPK ...
Eun‐Jin Lee   +10 more
wiley   +1 more source

Spatiotemporal and Wavenumber Resolved Bicoherence at the Low to High Confinement Transition in the TJ-II Stellarator

open access: yes, 2013
Plasma turbulence is studied using Doppler reflectometry at the TJ-II stellarator. By scanning the tilt angle of the probing beam, different values of the perpendicular wave numbers are probed at the reflection layer. In this way, the interaction between
Ascasíbar, E.   +4 more
core   +1 more source

Polyphenol‐Derived Carbonaceous Frameworks with Multiscale Porosity for High‐Power Electrochemical Applications

open access: yesAdvanced Materials, EarlyView.
This review examines the fluid dynamic behavior within carbonaceous porous structures, linking structural characteristics to electrolyte transport and electrochemical performance. Specifically, it quantitatively assesses the effect of polyphenol derivatives‐harnessed multiscale pore structures on active surface utilization and electrochemical activity ...
Minjun Kim   +3 more
wiley   +1 more source

Diffusion of heat, energy, momentum, and mass in one-dimensional systems

open access: yes, 2013
We study diffusion processes of local fluctuations of heat, energy, momentum, and mass in three paradigmatic one-dimensional systems. For each system, diffusion processes of four physical quantities are simulated and the cross correlations between them ...
D. Forster   +8 more
core   +1 more source

MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction [PDF]

open access: yesarXiv, 2023
Hospital readmission prediction is considered an essential approach to decreasing readmission rates, which is a key factor in assessing the quality and efficacy of a healthcare system. Previous studies have extensively utilized three primary modalities, namely electronic health records (EHR), medical images, and clinical notes, to predict hospital ...
arxiv  

Optoelectronic Devices for In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
The raw data obtained directly from sensors in the noisy analogue domain is often unstructured, which lacks a predefined format or organization and does not conform to a specific data model. Optoelectronic devices for in‐sensor visual processing can integrate perception, memory, and processing functions in the same physical units, which can compress ...
Qinqi Ren   +7 more
wiley   +1 more source

Memory-Augmented Temporal Dynamic Learning for Action Recognition

open access: yes, 2019
Human actions captured in video sequences contain two crucial factors for action recognition, i.e., visual appearance and motion dynamics. To model these two aspects, Convolutional and Recurrent Neural Networks (CNNs and RNNs) are adopted in most ...
Wang, Dong, Wang, Qi, Yuan, Yuan
core   +1 more source

Spatiotemporal Pyramid Network for Video Action Recognition [PDF]

open access: yesarXiv, 2019
Two-stream convolutional networks have shown strong performance in video action recognition tasks. The key idea is to learn spatiotemporal features by fusing convolutional networks spatially and temporally. However, it remains unclear how to model the correlations between the spatial and temporal structures at multiple abstraction levels.
arxiv  

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