Results 111 to 120 of about 12,308 (250)
Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics
Advanced Robotics Research, EarlyView.Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod +14 more
wiley +1 more source
Implementing Multimodal Hardware Security with 2D α‐In2Se3 Ferroelectric Transistor
Advanced ScienceSecurity is a critical challenge in the integrated circuit (IC) industry, yet device‐level hardware security remains largely underexplored. Most existing solutions necessitate modifications to current technology nodes and typically address only a single ...
Xinwei Zhang +11 more
doaj +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
A Low‐Cost, Handheld Optical Stiffness Sensor for Minimally Invasive Surgery
Advanced Robotics Research, EarlyView.A novel handheld stiffness sensor is presented for real‐time tissue stiffness characterization. By simultaneously sensing contact force and tissue deformation, the device enables accurate stiffness quantification without requiring precise manual control. This approach offers a promising solution for intraoperative tumor detection and minimally invasive
Qianyu Ma +4 more
wiley +1 more source
Advanced Science, EarlyView.The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis +32 more
wiley +1 more source
Advanced Science, EarlyView.A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang +11 more
wiley +1 more source
Advanced Science, EarlyView.High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott +5 more
wiley +1 more source
Advanced Science, EarlyView.This study identifies S100A14 in tumor‐derived exosomes as a key driver of brain metastasis. S100A14 targets PIAS3 in astrocytes, activating STAT3 signaling and promoting immunosuppressive MDSCs recruitment via chemokine secretion. Germacrone, a natural compound, binds S100A14 to disrupt this axis, effectively inhibiting brain metastasis with low ...
Qian Feng +13 more
wiley +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
Advanced Science, EarlyView.A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source