Results 201 to 210 of about 4,266 (280)

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source

Opportunistic Allocation of Resources for Smart Metering Considering Fixed and Random Wireless Channels. [PDF]

Sensors (Basel)
Jara C, Inga J, Inga E.
europepmc   +1 more source

Fabrication of flexible composite electrodes and their application in flexible supercapacitors for wearable electronic devices

FlexMat, EarlyView.
This review surveys current progress in composite flexible electrodes for flexible supercapacitors, emphasizing how structural engineering and material synergy enhance both mechanical compliance and electrochemical performance. It discusses fabrication strategies, emerging application scenarios, and ongoing challenges, offering updated insights that ...
Weikang Wang, Qing Liu, Ang Lv, Shuai Zhou, Chunlei Zhang, Luping Zhang, Liming Li, Weiwei Zhao, Yuchun Tang, Fei Huang   +9 more
wiley   +1 more source

Social interactions in isolated, confined, and extreme environments: A study of Antarctic winter teams using wearable sensors. [PDF]

Proc Natl Acad Sci U S A
Cantisani A, Schmutz JB, Marques-Quinteiro P, Dall'Amico L, Cattuto C, Antino M, Eppich WJ, Stegmayer K, Walther S.   +8 more
europepmc   +1 more source

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source

Actor Placement Optimization in WSANs by the PSO-HC-DGA Hybrid System for Two-Zone Industrial Environments. [PDF]

Sensors (Basel)
Kraikritayakul P, Barolli A, Sakamoto S, Higashi S, Ampririt P, Barolli L.   +5 more
europepmc   +1 more source

Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average‐Risk Populations, and Future Directions

International Journal of Cancer, EarlyView.
ABSTRACT Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characterized by an accelerated adenoma‐carcinoma sequence, a relatively higher prevalence of flat and subtle CRC precursor lesions, and exceptionally high adenoma miss rates despite intensive colonoscopy surveillance.
Robert Hüneburg, Querijn N. E. van Bokhorst, Evelien Dekker, Jacob Nattermann   +3 more
wiley   +1 more source

Improved deep learning model for accurate energy demand prediction and conservation in electric vehicles integrated with cognitive radio networks. [PDF]

Sci Rep
Niranjani V, Haldorai A.
europepmc   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

An Anomaly Node Detection Method for Wireless Sensor Networks Based on Deep Metric Learning with Fusion of Spatial-Temporal Features. [PDF]

Sensors (Basel)
Wang Z, Ye M, Cheng J, Zhu C, Wang Y.
europepmc   +1 more source