Results 91 to 100 of about 3,246,502 (304)

Topology prediction for opportunistic network based on spatiotemporal convolution

open access: yesTongxin xuebao, 2023
The high dynamics of opportunistic network topology leads to the challenges of topology prediction.The existing research mainly focuses on the long-term spatiotemporal dependence of networks, ignoring the short-term spatiotemporal features.A topology ...
Jian SHU   +3 more
doaj   +2 more sources

Multimodal Fusion ConvLSTM Model for Long-Term Snow Cover Image Prediction

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Snow cover distribution, as a direct product of atmospheric circulation, plays a pivotal role in the Earth’s climate system. It exerts a significant impact on climate by regulating the surface energy balance, modulating the hydrological cycle, and
Yuexin Zhang   +6 more
doaj   +1 more source

Encoded Cell‐Material Interactions to Reroute Cytokine Signaling for Regenerative Medicine

open access: yesAdvanced Healthcare Materials, EarlyView.
We present native MATRIX (Material Activated To Regulate Inducible gene eXpression), a co‐engineered material‐cell platform. Surfaces functionalized with antibodies for endogenous soluble ligands (e.g., IL‐1β or IL‐6) capture and immobilize ligands for presentation to a cognate, engineered synthetic Notch receptor, releasing a transcription factor (TF)
Zachary M. Eidman   +7 more
wiley   +1 more source

Nanomaterial Strategies for Pulmonary Delivery of Immunotherapeutics in Lung Cancer Treatment

open access: yesAdvanced Healthcare Materials, EarlyView.
Inhalable immunotherapeutic nanomedicines enable organ‐selective immune modulation by overcoming pulmonary delivery barriers and concentrating therapy within lung tumors. This Review defines how nanomaterial properties govern airway deposition, retention, cellular partitioning, and immune activation across vaccines, checkpoint blockade, STING agonists,
Han Zhang, Wei Tang
wiley   +1 more source

AB-LSTM: a mesoscale eddy feature prediction method based on an improved Conv-LSTM model

open access: yesFrontiers in Marine Science
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

Triplet Attention Transformer for Spatiotemporal Predictive Learning

open access: yes2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Spatiotemporal predictive learning offers a self-supervised learning paradigm that enables models to learn both spatial and temporal patterns by predicting future sequences based on historical sequences. Mainstream methods are dominated by recurrent units, yet they are limited by their lack of parallelization and often underperform in real-world ...
Xuesong Nie   +5 more
openaire   +2 more sources

Energy prediction using spatiotemporal pattern networks

open access: yesApplied Energy, 2017
31 Pages, 24 Figures Preprint Submitted to Journal of Applied ...
Zhanhong Jiang   +4 more
openaire   +4 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

open access: yesAdvanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

open access: yesAdvanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son   +20 more
wiley   +1 more source

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