Results 31 to 40 of about 15,261 (192)
Automated detection of bicycle helmets using deep learning
Bicycle helmets are a main measure for injury prevention in case of a crash and are a central variable in transport safety studies. Despite this, helmet use data is only collected sporadically, as the observation of helmet use in traffic by human ...
Felix Wilhelm Siebert +6 more
doaj +1 more source
Detection of Helmet Use in Motorcycle Drivers Using Convolutional Neural Network
The lack of helmet use in motorcyclists is one of the main risk factors with severe consequences in traffic accidents. Wearing a certified motorcycle helmet can reduce the risk of head injuries by 69% and fatalities by 42%.
Jaime Mercado Reyna +9 more
doaj +1 more source
CONTEXT: Wearing helmet during road traffic accidents among motorcycle riders decreases the likelihood of death by 39%. The theory of planned behavior (TPB), a psychological model helps to explain the failure in helmet usage, by assuming a causal chain ...
M N Shruthi, Anand D Meundi, D Sushma
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Helmet Use among Two Wheeler Female Riders
Introduction The frequency of traffic collisions in India is among the highest in the world with more than 135,000 traffic collision-related deaths occurring every year.
Rizwan Khan +3 more
doaj +1 more source
Evaluating Energy Absorption Performance of Filled Lattice Structures
Maximum stress must be considered to robustly evaluate energy absorber designs. This approach was applied to compare all types of absorbers in a single Ashby diagram and determine the utility of filling lattice voids with a second material. High‐performance fillers can improve the performance of lattices that are limited by buckling or catastrophic ...
Christian Bonney +2 more
wiley +1 more source
Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang +5 more
wiley +1 more source
Effects of state helmet laws on bicycle helmet use by children and adolescents [PDF]
Objective: To evaluate the effectiveness of state helmet laws in increasing the use of bicycle helmets by children and adolescents under age 16. Setting: United States. Methods: A cross sectional study of factors associated with the likelihood of helmet use by children and adolescents.
openaire +2 more sources
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Rural adolescent attitudes and use of bicycle helmets in Iowa
Background Helmet use significantly decreases head injuries, the most common cause of bicycle-related fatalities in youth. Our objective was to determine bicycle helmet use by rural adolescents, their attitudes regarding helmets, and associated ...
Brooke L. Askelsen +5 more
doaj +1 more source

