Results 91 to 100 of about 3,246,502 (304)
Topology prediction for opportunistic network based on spatiotemporal convolution
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
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
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
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
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
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
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
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
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 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

