Results 151 to 160 of about 54,165 (256)
A bismuth–copper diselenide–based nanoplatform (BSCS@PHY) coordinates immunogenic cell death with local A2A receptor blockade in 4T1 tumors. Thermally triggered shell melting exposes catalytic surfaces for glutathione depletion and chemodynamic ROS generation, while co‐delivering an A2AR antagonist and yeast‐wall adjuvant to enhance dendritic‐cell ...
Xiangting Yi +12 more
wiley +1 more source
Empirical study of lane-changing behavior on three Chinese freeways. [PDF]
Guo M, Wu Z, Zhu H.
europepmc +1 more source
Biodegradable Acoustic Targeting for Ultrasound‐Supported Gene Therapy (BATUS) in Glioblastoma
ABSTRACT Glioblastoma (GBM) remains one of the most challenging brain malignancies due to the restrictive nature of the blood–brain barrier (BBB), which severely limits effective drug and gene delivery. To overcome this, we introduce Biodegradable Acoustic Targeting for Ultrasound‐Supported Gene Therapy (BATUS), a modular platform that enables safe ...
Gulsah Erel‐Akbaba +25 more
wiley +1 more source
Conditional Artificial Potential Field-Based Autonomous Vehicle Safety Control with Interference of Lane Changing in Mixed Traffic Scenario. [PDF]
Gao K +6 more
europepmc +1 more source
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann +4 more
wiley +1 more source
Lane changing trajectory planning and tracking control for intelligent vehicle on curved road. [PDF]
Wang L, Zhao X, Su H, Tang G.
europepmc +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad +5 more
wiley +1 more source
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin +5 more
wiley +1 more source

