Results 61 to 70 of about 1,619,830 (383)
Severity Prediction of Traffic Accidents with Recurrent Neural Networks
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employed to predict the injury severity of traffic accidents based on 1130 accident records that have occurred on the North-South Expressway (NSE), Malaysia ...
M. I. Sameen, B. Pradhan
semanticscholar +1 more source
A decellularized nerve graft (DNG) is modified to generate a porous DNG (PDNG). The PDNG is used to repair a 30‐mm peripheral nerve injury (PNI) defect, and is compared with isograft, serving as the standard, and DNG, a widely used alternative. The result shows that PDNG facilitated nerve regeneration in long‐gap PNI, evidenced by better‐aligned axonal
Olawale Alimi Alimi+10 more
wiley +1 more source
Glaphene: A Hybridization of 2D Silica Glass and Graphene
‘Glaphene’, a novel hybrid material combining 2D silica glass and graphene, is synthesized via a scalable liquid precursor‐based vapor‐phase growth. This study reveals interlayer hybridization beyond van der Waals interactions, leading to emergent semiconducting behavior.
Sathvik Ajay Iyengar+10 more
wiley +1 more source
Auditory fatigue among call dispatchers working with headsets
Objectives To determine whether call center dispatchers wearing headsets are subject to auditory fatigue at the end of a work shift. Material and Methods Data was gathered at times when call centers were busiest. All call operators wore a headset for up
Thomas Venet+8 more
doaj +1 more source
Ionic Conductive Textiles for Wearable Technology
Recent advances in ionic conductive textiles for wearable technology are summarized, with a focus on soft ionic conductors that exhibit skin‐like flexibility and tissue‐like ion dynamics. Their structures, key characteristics, manufacturing methods, and diverse applications are reviewed.
Lingtao Fang, Yunlu Zhou, Qiyao Huang
wiley +1 more source
A space-time multivariate Bayesian model to analyse road traffic accidents by severity [PDF]
The paper investigates the dependences between levels of severity of road traffic accidents, accounting at the same time for spatial and temporal correlations.
Blangiardo, M+3 more
core +1 more source
Background: Lead compounds are chemicals of high toxicological concern and are suspected to interact with the thyroid axis. Method: A cohort study was carried out involving 70 workers from a petrochemical company exposed to inorganic lead compounds.
Lidia Caporossi+6 more
doaj +1 more source
Cette correspondance entre Noëlle Renaude et Barbara Métais-Chastanier, qui devait n’être au départ qu’un bref entretien, a pris la tournure d’un ouvrage plus conséquent qui s’est inventé pendant plus d’une année. Devenant essai à deux voix, débordant la question initiale de l’accident, de l’imprévu et du hasard, il explore au fil du dialogue, de ...
Renaude, Noëlle+1 more
openaire +4 more sources
Feature Recognition of Urban Road Traffic Accidents Based on GA-XGBoost in the Context of Big Data
The identification of the characteristics of urban road traffic accidents is of great significance for reducing traffic accidents and the corresponding losses. In the context of big data, to accurately understand the characteristics of traffic accidents,
Yi Qu+3 more
semanticscholar +1 more source
Nanoscale metal–organic frameworks (MOFs) and nanocellulose composites have significant potential for the multi‐functional remediation of the environment. This review focused on the synthesis strategies (in situ growth, ex situ growth, and other approaches), typical forms (aerogel, hydrogel, beads, and membrane), and applications in the removal of ...
Ye Song+13 more
wiley +1 more source