Results 111 to 120 of about 328,763 (284)
Towards a Scenario-Based Assessment Method for Highly Automated Driving Functions [PDF]
Current research into highly automated driving (HAD) functions aims to support drivers in various situations. These functions are devised to master different scenarios including traffic participants and environmental conditions.
CHIBELUSHI, Claude +4 more
core
Advanced Functional Materials, EarlyView.Glyphosate (GLY) and its primary metabolite, aminomethylphosphonic acid (AMPA), are photodegraded using a poly(vinylidene fluoride) membrane with immobilized titanium dioxide (PVDF‐TiO2) in a continuous flow‐through operation under solar light. At optimized conditions, the PVDF‐TiO2 membrane achieved 95% GLY and 80% AMPA removal with •O2− as the ...
Phuong B. Trinh +4 more
wiley +1 more source
Photoswitching Conduction in Framework Materials
Advanced Functional Materials, EarlyView.This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A miniaturized mechano‐acoustic sensor is developed using an electrospun PVDF nanomesh as the diaphragm in a capacitive sensor structure. Unlike conventional nanomesh‐based sensors, it achieves high linear sensitivity, a broad and flat frequency response, and a compact form factor.
Jeng‐Hun Lee +8 more
wiley +1 more source
Applied SciencesHighly automated shuttle vehicles (SAE Level 4) have the potential to enhance public transport services by decreasing the demand for drivers, enabling more frequent and flexible ride options.
Andreas Schrank +2 more
doaj +1 more source
Road infrastructure support for highly automated driving
Liikenne-vuosikirja...
openaire +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
GeAl2‐2xFe2xO3(OH)4 Nanotubes: New Electrocatalyst for Oxygen Evolution Reaction
Advanced Functional Materials, EarlyView.Fe‐doped imogolite nanotubes are synthesized via a one‐step hydrothermal method with varying Fe substitution ratios x. Structural and spectroscopic analyses confirm homogeneous Fe incorporation while preserving tubular shape. Optimal doping at x = 0.05 enhances optical absorption, narrows band gap, reduces charge transfer resistance, and significantly ...
Yassine Naciri +12 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv +10 more
wiley +1 more source
Prediction of take-over time in highly automated driving by two psychometric tests
Dyna, 2015 En este estudio se investigó la capacidad del conductor para to mar el control del vehículo, en una tarea secundaria puede pred ecirse por la habilidad multitarea del sujeto y la reacción inmediata.
Moritz Korber +4 more
doaj