Results 161 to 170 of about 18,159,660 (238)
A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment
Advanced Science, EarlyView.MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu +15 more
wiley +1 more source
Advanced Science, EarlyView.Awake longitudinal multimodal ultrasound imaging integrates functional ultrasound (fUS), ultrasound localization microscopy (ULM), and functional ULM (fULM) to characterize cerebrovascular function, microvascular architecture, and flow dynamics within the same animals over time.
Zhe Huang +9 more
wiley +1 more source
Advanced Science, EarlyView.Hippocampal CA2 perineuronal nets ensheathing excitatory pyramidal neurons are selectively vulnerable to repeated neonatal sevoflurane exposure. Epigenetic upregulation of MMP9 via reduced H3K27me3 disrupts PNN integrity, impairs BDNF–TrkB signaling, and causes synaptic protein loss and dendritic spine deficits, leading to persistent social and spatial
Lirong Liang +11 more
wiley +1 more source
An Expertise Transfer Framework For Autonomous Surgical Assistance
Advanced Science, EarlyView.This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning
Advanced Science, EarlyView.A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo +4 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
Advanced Electronic Materials, EarlyView.A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source
Impact of Rapid Thermal Annealing on the Structural and Piezoelectric Properties of AlN Thin Films
Advanced Electronic Materials, EarlyView.Aluminum nitride (AlN) is a biocompatible piezoelectric material suitable for energy harvesting in MEMS resonators. Through rapid thermal annealing, a threshold for CMOS‐compatible processes is established. AlN improved its crystallinity and enhanced the piezoelectric coefficient by ∼160%. Devices show an improvement in the electromechanical properties
Laura Mazón‐Maldonado +7 more
wiley +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source