Results 121 to 130 of about 6,436 (295)

AND‐Logic‐Gated Aptamer Switch for Precise Targeting and Regulation of RNA G‐Quadruplexes

Angewandte Chemie, EarlyView.
An AND‐logic‐gated aptamer switch enables tumor‐selective activation of RNA G‐quadruplex (rG4)‐targeting function. By combining cell‐surface recognition and intracellular redox sensing, the system achieves precise regulation of disease‐relevant RNA structures exclusively in tumor cells, with minimal off‐target effects in normal cells, offering a ...
Dan Wang, Ying Feng, Chun Kit Kwok
wiley   +2 more sources

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Multicomponent Stapling of Glucagon‐Like Peptide‐1 Enables Receptor‐Guided PROTAC Delivery

Angewandte Chemie, EarlyView.
We report a stapled glucagon‐like peptide‐1 (GLP‐1) analogue created via multicomponent tryptophan‐mediated Petasis reaction (TMPR). This strategy yields a stabilised peptide with superior helicity and improved potency. Conjugation to a bromodomain‐containing protein 4 (BRD4) degrader creates the first GLP‐1‐guided targeted protein degrader (PROTAC ...
Jan L. Venne, Sona Krajcovicova, Graeme Davies, Hannah Bolt, Jefferson Revell, David R. Spring   +5 more
wiley   +2 more sources

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Connected Automated Guided Vehicles in a Smart Container Terminal

, 2019
As container terminals aim for more efficient operation and higher productivity, automation is making major breakthroughs all over the world. Container terminals are increasingly adopting automated solutions to meet the challenge of larger ships, taller ...
Khaldon Karmadi (20228820), Mohamed Watfa (20122878)   +1 more
core  

Optimization of automated guided vehicle scheduling model based on hybrid genetic algorithm and digital twin

Systems and Soft Computing
The scheduling of automated guided vehicles faces issues due to unpredictable data. To overcome this, research focuses on optimizing path planning and scheduling using hybrid genetic algorithms and digital twins. Firstly, a genetic algorithm improves the
Li Liu, Yu Ding
doaj   +1 more source

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

A Decentralized Control Strategy for High Density Material Flow Systems with Automated Guided Vehicles

, 2015
This work presents a universal decentralized control strategy for grid-based high-density material flow systems with automated guided vehicles and gives insights into the system behavior as well as the solution ...
Schwab, Melanie
core   +1 more source

Artificial Intelligence Challenges for Knowledge Innovation Cycles

AI &Innovation, EarlyView.
ABSTRACT This article focuses on knowledge innovation and its contemporary reshaping, with particular attention to the growing role of AI in this process. This article first examines the general structure and phases of knowledge innovation cycles, aiming to identify AI's role within them.
Aharon Kellerman
wiley   +1 more source

The low-level guidance of an experimental autonomous vehicle [PDF]

, 1989
This thesis describes the data processing and the control that constitutes a method of guidance for an autonomous guided vehicle (AGV) operating in a predefined and structured environment such as a warehouse or factory.
Pears, Nicholas Edwin
core