Results 201 to 210 of about 3,914,403 (313)

Non‐Line‐of‐Sight Passive Ammonia Sensor Loaded With MXene/In2O3 Composites for Agricultural Products Quality Deterioration Detection

Advanced Science, EarlyView.
This study presents a flexible, battery‐free passive RFID sensing platform for NLoS monitoring of quality deterioration in fresh agricultural products. It utilizes a structurally decoupled spiral antenna‐LC electrode architecture to suppress electromagnetic interference caused by packaging.
Guoping Hu, Lin He, Fanli Meng, Daming Dong, Guolong Shi   +4 more
wiley   +1 more source

Effects of transfer learning on seedling detection from drone imagery: a layer freezing study with faster R-CNN. [PDF]

Sci Rep
Jeong H, You J, Kim D, Lee PS, Han H.
europepmc   +1 more source

LRRC4 Orchestrates AP2A1‐Containing Clathrin‐Coated Vesicles to Disrupt Mitochondrial Cristae and Restrict Glioblastoma Progression

Advanced Science, EarlyView.
LRRC4 suppresses GBM by regulating AP2A1‐containing Golgi‐derived clathrin‐coated vesicles. Low LRRC4 allows cytoplasmic AP2A1 to maintain mitochondrial fission‐fusion, MICOS integrity, and OXPHOS, promoting proliferation and invasion. High LRRC4 redirects AP2A1‐containing Golgi‐derived clathrin‐coated vesicles to mitochondria, disrupts MICOS, enhances
Yang Li, Cheng Huang, Liangqi Jiang, Zhen Li, Qing Liu, Minghua Wu   +5 more
wiley   +1 more source

Baseline riparian forest and aquatic macrophyte vegetation dataset from the Danube right bank near Draž (Croatia), to support before-after monitoring of side-arm reconnection (2024-2025). [PDF]

Biodivers Data J
Vukov D, Žunić D, Prodanović N, Sabadoš V.   +3 more
europepmc   +1 more source

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

Advanced Science, EarlyView.
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo, Wei Wu, Huan Peng, Dan He, Yuxi Guo, Boyue Zhao, Xiaodan Wang, Li Ma, Yuhang Qin, Yifang Zhai, Lixia Zhuo, Ying Zhang, Yijie Guo, Linlin Jing, Fangyao Chen, Erfei Zhang, Wei Wang, Xiancang Ma, Yan Li   +18 more
wiley   +1 more source

Advanced Remote Sensing and AI Techniques in Agriculture and Forestry. [PDF]

Plants (Basel)
Wang RF, Cui K.
europepmc   +1 more source

Sustained Delivery of a Shingles Subunit Vaccine Overcomes Age‐Related Declines in Humoral and Cellular Immunity Relative to Shingrix

Advanced Science, EarlyView.
Sustained delivery of a shingles subunit vaccine from an injectable polymer–nanoparticle hydrogel enhanced the potency, durability, and breadth of immune responses in aged mice while minimizing inflammatory cytokine production and reactogenicity. This strategy decouples immunogenicity from reactogenicity and offers a promising approach to improve ...
Ye Eun Song, Jerry Yan, Ben S. Ou, Olivia M. Saouaf, Noah Eckman, E. A. Appel   +5 more
wiley   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

Improving carbon modeling in aspen-dominated forests: Lessons from CBM-CFS3 evaluation against long-term field data. [PDF]

Ecol Appl
Lau N, Sattler D, Michaelian M, Hararuk O.   +3 more
europepmc   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source