Results 41 to 50 of about 2,631,204 (260)

Spatiotemporal video of blood-brain barrier disruption in neuroinflammatory disorders

Frontiers in Physiology
IntroductionUnderstanding blood-brain barrier (BBB) disruption in neuroinflammatory disorders is crucial for advancing neurological diagnostics and therapy.
Yukai Xu, Zhiwei Zhang, Kaili Feng
doaj   +1 more source

Biodegradable and Biocompatible Functional Polymers for Biomedical Applications

Advanced Functional Materials, EarlyView.
Biodegradable and biocompatible functional polymers integrate electrical, mechanical, and stimuli‐responsive functionalities while enabling programmed degradation under physiological conditions. This review introduces recent advances in conductive, shape‐memory, self‐healing, photocurable, and adhesive polymer systems, emphasizing material design ...
Won Bae Han, Shuvra Mondal, Sungkeun Han, Chan‐Hwi Eom, Venkata Ramesh Naganaboina, Suk‐Won Hwang   +5 more
wiley   +1 more source

ugomd/spatiotemporal-bats-flowers: v.1.0 (10.04.2023)

, 2023
Repository for the data and code used in the manuscript "Spatiotemporal trends in floral visitation and interaction networks reveal shifting niches for bats in a Neotropical savanna", Journal of Animal Ecology (Under ...
ugomd
core   +1 more source

Epilepsy detection based on spatiotemporal feature interaction fusion of EEG signals

Frontiers in Neurology
ObjectiveIn recent years, with the development of machine learning and deep learning technologies, an increasing number of research works have begun using these technologies for automatic seizure detection in EEG signals.
Zhencai Xu, Hongfeng Ge, Weiwei Huang, Hongwei Lu   +3 more
doaj   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

AT-HSTNet: An Efficient Hierarchical Action-Transformer Framework for Deepfake Video Detection

Applied Sciences
The rapid advancement of deepfake generation technologies presents significant challenges to the verification of digital video authenticity. These time-dependent artifacts are difficult to detect using conventional frame-based detection approaches.
Sameena Javaid, Marwa Chendeb El Rai, Abeer Elkhouly, Obada Al-Khatib, Aicha Beya Far, May El Barachi   +5 more
doaj   +1 more source

Spatiotemporal Modeling for Fine-Scale Maps of Regional Malaria Endemicity and Its Implications for Transitional Complexities in a Routine Surveillance Network in Western Cambodia

Frontiers in Public Health, 2017
Due to the associated and substantial efforts of many stakeholders involved in malaria containment, the disease burden of malaria has dramatically decreased in many malaria-endemic countries in recent years.
Suguru Okami, Naohiko Kohtake
doaj   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Semantic data modeling of spatiotemporal database applications

, 2001
Due to the ubiquity of space-related and time-related information, the ability of a database system to deal with both spatial and temporal phenomenon facts in a spatiotemporal applications is highly desired.
Yazıcı, Adnan, Sun, N, Zhu, QW
core   +1 more source

Traffic Flow Prediction in Intelligent Transportation Systems: A Comprehensive Review of Graph Neural Networks and Hybrid Deep Learning Methods

Algorithms
Traffic flow prediction is a key component of Intelligent Transportation Systems (ITS), crucial for alleviating urban congestion, optimizing traffic management, and improving the overall efficiency of road networks.
Zhenhua Wang, Xinmeng Wang, Lijun Wang, Zheng Wu, Jiangang Hu, Fujiang Yuan, Zhen Tian   +6 more
doaj   +1 more source