Results 71 to 80 of about 970 (208)
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Single‐cell transcriptomics of soybean roots soon after rhizobial inoculation reveals epidermal and cortical cell‐specific programs and gene‐regulatory networks acting in symbiosis establishment. We identify an ethylene‐driven regulatory circuit involving WRKY6.3/6.4 transcription factors targeting select Nod19 genes that promotes infection‐thread ...
Yongbin Zhuang +17 more
wiley +1 more source
Endothelial YAP Signaling Promotes Blood‐Spinal Cord Barrier Repair in Mice After Spinal Cord Injury
Endothelial YAP is required for blood‐spinal cord barrier repair after spinal cord injury. YAP‐dependent vascular repair is associated with ANGPT1/PI3K/AKT signaling in vivo and may involve endothelial‐pericyte paracrine interactions. By supporting vascular remodeling, tight junction restoration, restored pericyte coverage, and astrocyte‐vascular ...
Jiawei Wang +14 more
wiley +1 more source
Paraborg: Paramedic Cyborg Insects for In Situ Emergency Drug‐Delivery
This work introduces Paraborg, a human‐supervised paramedic cyborg‐insect platform that combines controllable locomotion, onboard imaging, and an auto‐injection mechanism for in situ drug‐delivery. By demonstrating reliable navigation, target stabilization, injector launch, and multi‐insect teamwork, the study extends cyborg insects from survivor ...
H. Nhan Le +5 more
wiley +1 more source
Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg +19 more
wiley +1 more source
Piezo‐Coupling Effects in Smart Polymers: Toward Ultrasensitive Sensing and Biomedical Applications
Piezo‐coupling effects are the foundational factors for the development of multifunctional and self‐powered platforms. Central to this advancement is the use of stimuli‐responsive smart polymers, which offer mechanical flexibility, biocompatibility, and simplified structural complexity with improved sensitivity and energy efficiency.
Duc Khanh Tran +6 more
wiley +1 more source
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang +9 more
wiley +1 more source
A transpiration‐inspired Janus nanofiber membrane creates a persistent dry‐wet interface that couples localized solar heating with hydration‐induced ion regulation. The asymmetric architecture sustains directional water and ion transport, suppresses salt accumulation, and enables simultaneous seawater evaporation and stable electricity generation ...
Qin Su +10 more
wiley +1 more source
This study elucidates the microstructural evolution at the material interface of Ni‐plated plain‐weave carbon fiber fabric following vacuum heat treatment at 500°C–900°C under different current densities, as well as the mechanism underlying the synergistic enhancement of electromagnetic shielding and ductility.
Wei Cheng +7 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source

