Results 81 to 90 of about 1,727,853 (256)
Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi +14 more
wiley +1 more source
Spatiotemporal Prediction of Nitrogen Dioxide Based on Graph Neural Networks
Ponència presentada en ENVIROINFO 2022: Advances and New Trends in Environmental Informatics pp 111–128Air quality prediction, especially spatiotemporal prediction, is still a challenging issue. Considering the impact of numerous factors on air quality
Iskandaryan, Ditsuhi +2 more
core +1 more source
A Microseismic Energy Field Distribution Prediction Method Guided by Geological Structure Priors
Existing microseismic prediction methods commonly incorporate domain prior knowledge as ordinary input features, which makes it difficult to fully exploit its structural constraints and physical implications.
Shuang Xia +5 more
doaj +1 more source
Memristive Motion‐Streak Neuron for Spatiotemporal Multiple Object Detection
This work proposes motion‐streak neuron hardware using amorphous In–Ga–Zn–O optoelectronic memristors and dynamic memristors for spatiotemporal multiple‐object detection. The motion streak neuron array processes optical and electrical stimuli, allowing speed‐dependent filament relaxation to encode motion trajectories.
Hyungjun Park +9 more
wiley +1 more source
Rapid urbanization has increasingly posed risks of inducing land subsidence in newly developed urban districts, posing growing threats to infrastructure safety.
Roucen Liu, Hao Tan, Langlin Zhu
doaj +1 more source
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source
AB-LSTM: a mesoscale eddy feature prediction method based on an improved Conv-LSTM model
Mesoscale eddies are the most important mesoscale phenomena in the oceans, and determining how to predict their spatial and temporal characteristics is a very challenging task.
Xiaodong Ma +3 more
doaj +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
In the proposed model, a photoinduced nanoreactor uses Cu2O self‐photooxidation to generate localized supersaturation. A metastable supersaturation state first forms a shell, creating a spatially confined environment that restricts reactant exchange; continued Cu release then drives the local environment toward a labile regime that favors predominantly
Yongdeok Ahn +5 more
wiley +1 more source
Seamless Mechanical Programming Through Hybrid Epoxy–Acrylate Printing for Soft–Rigid Robots
Hybrid epoxy‐acrylate printing enables seamless fabrication of soft–rigid robotic systems with covalently integrated interfaces and functionally graded mechanics. Grayscale exposure expands the accessible material space, enabling spatially programmed actuation through patterned stiffness while revealing the mechanics and durability of continuously ...
David C. Bershadsky +3 more
wiley +1 more source

