Results 211 to 220 of about 3,724,807 (335)

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Bibliometric and Visualization Analysis of Path Planning and Trajectory Tracking Research for Autonomous Vehicles from 2000 to 2025. [PDF]

Sensors (Basel)
Niu B, Dobretsov RY.
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Dynamics simulation and autonomous driving algorithm integration of unmanned harvester based on TruckSim/Simulink. [PDF]

Front Plant Sci
Sun L, Wang Q, Kong Z, Feng W, Xu T, Yu G.   +5 more
europepmc   +1 more source

scResponse: A Rank‐Based Method for Identifying Cell States That Contribute to Immunotherapy Response by Single‐Cell Data

Advanced Science, EarlyView.
Although the tumor microenvironment is known to shape immunotherapy response, its key determinants remain elusive, underscoring the critical need for single‐cell resolution analytical frameworks. We present scResponse, an efficient algorithm to quantify single‐cell responses to immunotherapy. By capturing diverse cellular subtypes and states associated
Qi Dong, Haijun Huang, Yuxiu Wang, Bo Jiang, Yuzheng Chen, Huanhuan Xu, Jing Ren, Shengnan Guo, Tianhao Li, Mingjie Zhang, Tianyu Zhai, Wenbo Yang, Kaidong Liu, Cheng Lyu, Jingxuan Kang, Mingshuo Zhang, Yupeng Lu, Binghui Si, Shujun Cao, Dandan Xu, Zong Chen, Dapeng Hao   +21 more
wiley   +1 more source

Vision-Based Vehicle State and Behavior Analysis for Aircraft Stand Safety. [PDF]

Sensors (Basel)
Tang K, Zeng L, Zhang T, Zhu D, Liu W, Zhu X.   +5 more
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

A deep learning-based approach for detecting anomalous behavior in safety-critical spaces. [PDF]

Front Artif Intell
Anees A, Jalal SA, Hadi HJ, Ahmad N, Ladan M.   +4 more
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Multi-Target Tracking with Collaborative Roadside Units Under Foggy Conditions. [PDF]

Sensors (Basel)
Shi T, Wang X, Jiang W, Huang X, Cen M, Cao S, Zhou H.   +6 more
europepmc   +1 more source