Results 211 to 220 of about 993,417 (294)

Single‐Injection Multi‐Omics Analysis by Direct Infusion Mass Spectrometry

Angewandte Chemie, EarlyView.
A high‐throughput direct infusion mass spectrometry platform, enabled by gas‐phase ion mobility separation, supports single‐injection analysis of peptides, polar metabolites, and lipids. Coupled with custom software, it identified ∽1,300 proteins and ∽600 metabolites in ∽4.3 minutes per sample, and demonstrated broad utility in macrophage polarization ...
Yuming Jiang, Ivan Salladay‐Perez, Amanda Momenzadeh, Jesús Muñoz‐Estrada, Uktarsh Tripathi, Anthony J. Covarrubias, Jesse G. Meyer   +6 more
wiley   +1 more source

Mechanism‐Guided Precision Hydrolysis of Early Transition Metals to Access (Mixed‐Metal) Oxo Clusters

Angewandte Chemie, EarlyView.
Precision hydrolysis enables the rational, room‐temperature synthesis of Zr and Hf oxo clusters with improved atom economy, sustainable solvents, and gram‐scale yields. By adding exactly 1.33 equivalents of water, Zr6, Hf6, and elusive bimetallic clusters are accessed, alongside new group 5 oxo clusters, providing a versatile and economical platform ...
Muhammed Jibin Parammal, Jikson Pulparayil Mathew, Alessandro Prescimone, Ajmal Roshan Unniram Parambil, Harry Wilson, Jonathan De Roo   +5 more
wiley   +1 more source

Two‐Nanosensor Electrochemical Profiling of Catecholamine Vesicle Interactions With Acute and Chronic Stress Granules in Living Cells

Angewandte Chemie, EarlyView.
A two‐nanosensor electrochemical strategy quantitatively distinguishes reactive oxygen species (ROS) in stress granules (SGs) from catecholamines in vesicles inside living cells. Chronic SGs formed under prolonged stress show elevated ROS and slower release, consistent with SG aging, and promote neurotransmitter loading likely through vesicle fusion ...
Hui Gu, Chaoyi Gu, Andre Du Toit, Andrew G. Ewing   +3 more
wiley   +1 more source

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COLLISION AVOIDANCE

1998
PH Li, Samrat Gautam
openaire   +2 more sources

Autonomous Collision Avoidance of Unmanned Surface Vehicles Based on Improved A-Star and Dynamic Window Approach Algorithms

IEEE Intelligent Transportation Systems Magazine, 2023
Unmanned surface vessel (USV) autonomous navigation on the open sea involving real-time path planning and collision avoidance is still one of the essential problems to ensure the USV’s safe and efficient navigation.
Wei Guan, Kuo Wang
semanticscholar   +1 more source

An Enabling Trajectory Planning Scheme for Lane Change Collision Avoidance on Highways

IEEE Transactions on Intelligent Vehicles, 2023
This paper presents a hierarchical three-layer trajectory planning framework to realize real-time collision avoidance under complex driving conditions.
Zhiqiang Zhang, Lei Zhang, Junjun Deng, Mingqiang Wang, Zhenpo Wang, Dongpu Cao   +5 more
semanticscholar   +1 more source

Research on Collision Avoidance Algorithm of Unmanned Surface Vehicle Based on Deep Reinforcement Learning

IEEE Sensors Journal, 2023
To solve the problem of active collision avoidance for unmanned surface vehicles (USVs) in a complex maritime environment, a method of deep reinforcement learning (DRL) based on proximal policy optimization (PPO) is proposed.
Jiawei Xia, Xufang Zhu, Zhikun Liu, Yasong Luo, Zhaodong Wu, Qiuhan Wu   +5 more
semanticscholar   +1 more source

Robust Collision-Avoidance Formation Navigation of Velocity and Input-Constrained Multirobot Systems

IEEE Transactions on Cybernetics, 2023
In this work, we consider the safe deployment problem of multiple robots in an obstacle-rich complex environment. When a team of velocity and input-constrained robots is required to move from one area to another, a robust collision-avoidance formation ...
Junjie Fu, G. Wen, Xinghuo Yu, Tingwen Huang   +3 more
semanticscholar   +1 more source

Collision Avoidance Among Dense Heterogeneous Agents Using Deep Reinforcement Learning

IEEE Robotics and Automation Letters, 2023
Navigating in a complex congested social environment without collision is a crucial and challenging task. Recent studies have demonstrated the considerable success of Deep Reinforcement Learning (DRL) in multi-agent collision avoidance.
Kai Zhu, Bin Li, Wen Zhe, Zhang Tao
semanticscholar   +1 more source

A Survey of Driving Safety With Sensing, Vehicular Communications, and Artificial Intelligence-Based Collision Avoidance

IEEE transactions on intelligent transportation systems (Print), 2022
Accurately discovering hazards and issuing appropriate warnings to drivers in advance or performing autonomous control is the core of the Collision Avoidance (CA) system used to solve traffic safety problems.
Yuchuan Fu, Changle Li, F. Yu, T. Luan, Yao Zhang   +4 more
semanticscholar   +1 more source