Results 241 to 250 of about 259,932 (331)

A Minimally Invasive Framework Reveals Region‐Specific Cerebrovascular Remodeling in Aging Using Intravital Functional Ultrasound Imaging and Ultrasound Localization Microscopy (fUS‐ULM)

open access: yesAdvanced Science, EarlyView.
A high‐resolution intravital imaging platform combining functional ultrasound and localization microscopy enables longitudinal, minimally invasive assessment of cerebrovascular function in aging studies. The present investigation reveals aging‐related reductions in neurovascular coupling, arteriole‐to‐venule ratio and vascular density, introducing a ...
Sharon Negri   +16 more
wiley   +1 more source

Common Fixed Point Theorems in Fuzzy 2 and Fuzzy 3-Metric Spaces

open access: bronze, 2016
Preeti Sengar   +3 more
openalex   +1 more source

Electric Field‐Stimulated Autofluorescence for In Situ 3D Characterization of Polymer Defects

open access: yesAdvanced Science, EarlyView.
Moderate electric fields induce intrinsic autofluorescence at microscale defects within diverse polymers under laser excitation. Combined with confocal microscopy, this probe‐free method enables real‐time, submicron‐resolution 3D imaging of voids, fillers, and electrical trees before irreversible damage occurs.
Chaolu Niu   +8 more
wiley   +1 more source

Thermal Runaway Temperature Prediction of Lithium‐Ion Battery Under Extreme High‐Temperature Shock Using Experimental and Virtual Data

open access: yesAdvanced Science, EarlyView.
An integrated framework predicts lithium‐ion batteries (LIB) thermal runaway (TR) under extreme high‐temperature shock. By combining experimental data with the multiphysics‐generated virtual data, a hybrid deep learning approach is developed to accurately forecast temperature evolution for unseen scenarios.
Xiaoyu Li   +6 more
wiley   +1 more source

A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction. [PDF]

open access: yesSci Rep
Abbas B   +7 more
europepmc   +1 more source

Cytological Classification Diagnosis for Thyroid Nodules via Multimodal Model Deep Learning

open access: yesAdvanced Science, EarlyView.
This study introduces AI‐TFNA, an innovative artificial intelligence model designed to assist cytopathologists in classifying thyroid nodules based on The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC). The model effectively differentiates between benign and malignant thyroid nodules, demonstrating significant potential as a screening ...
Yuanzheng Lou   +27 more
wiley   +1 more source

Home - About - Disclaimer - Privacy