Results 81 to 90 of about 1,087,010 (389)

Spatiotemporal Control Over Protein Release from Artificial Cells via a Light‐Activatable Protease

open access: yesAdvanced Biology, Volume 9, Issue 5, May 2025.
Stimulus‐responsive protein release is essential for intercellular communication. Mimicking this functionality in artificial cells is promising to study the working principles of cellular signaling. Herein, an engineered light‐activatable protease is implemented in a coacervate‐based artificial cell platform to establish user‐defined spatiotemporal ...
Arjan Hazegh Nikroo   +4 more
wiley   +1 more source

Recent advances in mathematical modeling and statistical analysis of exocytosis in endocrine cells [PDF]

open access: yes, 2016
open5noMost endocrine cells secrete hormones as a result of Ca(2+)-regulated exocytosis, i.e., fusion of the membranes of hormone-containing secretory granules with the cell membrane, which allows the hormone molecules to escape to the extracellular ...
Cortese, Giuliana   +4 more
core   +1 more source

Spatiotemporal Regulation of Synaptic Vesicle Fusion Sites in Central Synapses [PDF]

open access: yesNeuron, 2017
The number and availability of vesicle release sites at the synaptic active zone (AZ) are critical factors governing neurotransmitter release; yet, these fundamental synaptic parameters have remained undetermined. Moreover, how neural activity regulates the spatiotemporal properties of the release sites within individual central synapses is unknown ...
Dario Maschi, Vitaly A. Klyachko
openaire   +3 more sources

Light‐Triggered Protease‐Mediated Release of Actin‐Bound Cargo from Synthetic Cells

open access: yesAdvanced Biology, Volume 9, Issue 5, May 2025.
TEV Prtoease‐mediated Releasable Actin‐binding Protein (TRAP) is a protein‐based platform consisting of a cargo tightly bound to reconstituted actin networks in synthetic cells which can be proteolyticly released from the bound actin, followed by its secretion through membrane translocation mediated by a cell‐penetrating peptide.
Mousumi Akter   +3 more
wiley   +1 more source

Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks

open access: yes, 2017
Infrared (IR) imaging has the potential to enable more robust action recognition systems compared to visible spectrum cameras due to lower sensitivity to lighting conditions and appearance variability.
Adali, Sancar   +2 more
core   +1 more source

Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network [PDF]

open access: yesarXiv, 2020
Bike-sharing systems (BSSs) have become increasingly popular around the globe and have attracted a wide range of research interests. In this paper, the demand forecasting problem in BSSs is studied. Spatial and temporal features are critical for demand forecasting in BSSs, but it is challenging to extract spatiotemporal dynamics.
arxiv  

Comparative Analysis and Comprehensive Trade-Off of Four Spatiotemporal Fusion Models for NDVI Generation

open access: yesRemote Sensing, 2022
It is still difficult to obtain high-resolution and fast-updated NDVI data, and spatiotemporal fusion is an effective means to solve this problem.
Yunfeng Hu   +4 more
doaj   +1 more source

Electrospinning Technology, Machine Learning, and Control Approaches: A Review

open access: yesAdvanced Engineering Materials, Volume 27, Issue 7, April 2025.
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani   +5 more
wiley   +1 more source

Spatiotemporal evolution of runaway electrons from synchrotron images in Alcator C-Mod

open access: yes, 2018
In the Alcator C-Mod tokamak, relativistic runaway electron (RE) generation can occur during the flattop current phase of low density, diverted plasma discharges.
Embréus, O.   +3 more
core   +1 more source

Accelerate Spatiotemporal Fusion For Large-Scale Applications

open access: yesInternational Journal of Applied Earth Observation and Geoinformation
Spatiotemporal fusion (STF) can provide dense satellite image series with high spatial resolution. However, most spatiotemporal fusion approaches are time-consuming, which seriously limits their applicability in large-scale areas. To address this problem, some efforts have been paid for accelerating STF approaches with help of graphics processing units
Yunfei Li   +5 more
openaire   +2 more sources

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