Results 181 to 190 of about 1,087,010 (389)

Optical Microfiber Biomedical Sensors: Classification, Applications, and Future Perspectives

Advanced Sensor Research, Volume 4, Issue 5, May 2025.
This review delves deeply into the various types of optical microfiber biosensors, grounded firmly in their fundamental principles, and underscores their indispensable roles in pushing forward biomedical advancements. It examines the latest advancements, challenges faced by these biosensors in practical applications, future directions, breakthroughs ...
Lili Liang, Fei Xie, Li Jin, Bowen Yang, Li‐Peng Sun, Bai‐Ou Guan   +5 more
wiley   +1 more source

HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting [PDF]

arXiv
Spatiotemporal forecasting has emerged as an indispensable building block of diverse smart city applications, such as intelligent transportation and smart energy management. Recent advancements have uncovered that the performance of spatiotemporal forecasting can be significantly improved by integrating knowledge in geo-distributed time series data ...
arxiv  

Emotion Recognition in EEG Based on Multilevel Multidomain Feature Fusion

IEEE Access
In emotion recognition tasks, electroencephalography (EEG) has gained significant favor among researchers as a powerful biological signal tool. However, existing studies often fail to fully utilize the high temporal resolution provided by EEG when ...
Zhao Long Li, Hui Cao, Ji Sai Zhang
doaj   +1 more source

Intrinsically Soft Implantable Electronics for Long‐term Biosensing Applications

Advanced Sensor Research, EarlyView.
Intrinsically soft implantable biosensors address the mechanical mismatch of conventional rigid implants, improving biocompatibility and stability. This review explores soft encapsulation matrices, stretchable conductors, implantation strategies, and chronic fixation techniques.
Su Hyeon Lee, Hyo Jin Lee, Lee, Dae‐Hyeong Kim, Hye Jin Kim, Sung‐Hyuk Sunwoo   +5 more
wiley   +1 more source

Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data

, 2020
Hyungsuk Kimm, Kaiyu Guan, Chongya Jiang, Bin Peng, Laura F. Gentry, Scott C. Wilkin, Sibo Wang, Yaping Cai, Carl J. Bernacchi, Jian Peng, Yunan Luo   +10 more
openalex   +2 more sources

Spatial, Temporal, and Geometric Fusion for Remote Sensing Images [PDF]

arXiv
Remote sensing (RS) images are important to monitor and survey earth at varying spatial scales. Continuous observations from various RS sources complement single observations to improve applications. Fusion into single or multiple images provides more informative, accurate, complete, and coherent data.
arxiv  

Disentangling the Switching Behavior in Functional Connectivity Dynamics in Autism Spectrum Disorder: Insights from Developmental Cohort Analysis and Molecular‐Cellular Associations

Advanced Science, EarlyView.
A region‐wise functional connectivity dynamics (FCD) switching index (RFSI) identifies abnormal drivers in ASD across development, linked to salience/ventral attention, default mode, and frontoparietal networks. RFSI changes correlate with transcriptomic and neurotransmitter profiles, and supported by gene‐edited ASD monkeys.
Wei Li, Xia Qiu, Jin Chen, Kexuan Chen, Meiling Chen, Yinyan Wang, Wenjie Sun, Jing Su, Yongchang Chen, Xiaobao Liu, Congying Chu, Jiaojian Wang   +11 more
wiley   +1 more source

VSDF: A variation-based spatiotemporal data fusion method

, 2022
Chen Xu, Xiaoping Du, Zhenzhen Yan, Junjie Zhu, Shu Xu, Xiangtao Fan   +5 more
openalex   +1 more source

SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction [PDF]

arXiv
Predicting traffic accidents is the key to sustainable city management, which requires effective address of the dynamic and complex spatiotemporal characteristics of cities. Current data-driven models often struggle with data sparsity and typically overlook the integration of diverse urban data sources and the high-order dependencies within them ...
arxiv  

Mechanochemistry: Fundamental Principles and Applications

Advanced Science, EarlyView.
In this review, the physicochemical principles of mechanochemistry are first clarified. Based on this foundation, the research basis and cutting‐edge scientific achievements in four areas are introduced: solid‐state organic chemistry, polymers, interface science, and biomechanochemistry.
Liang Dong, Luofei Li, Huiyan Chen, Yi Cao, Hai Lei   +4 more
wiley   +1 more source