Results 81 to 90 of about 2,481,809 (253)

Safety belt and mobile phone usage in vehicles in Barcelona (Spain)

Gaceta Sanitaria, 2014
Objectives: To describe the prevalence and correlates of safety belt and mobile phone usage in vehicles in the city of Barcelona (Spain). Methods: We performed a study using direct observation with a cross-sectional design. We selected 2,442 private cars,
Jose M Martínez-Sánchez, Ariadna Curto, Marcela Fu, Cristina Martínez, Xisca Sureda, Montse Ballbè, Esteve Fernández   +6 more
doaj   +1 more source

Mind the Weather: A Panel Data Analysis of Time-Invariant Factors and Traffic Fatalities [PDF]

Many important determinants of traffic fatalities have been identified using the widely popular fixed-effects (FE) estimator for panel data. However, the FE estimator precludes an analysis of time-invariant or rarely changing variables, thereby obscuring
Margaret Inden, Pavel A. Yakovlev
core  

Influencing Parameters at Drum Screens for Packaging Screening

Chemie Ingenieur Technik, EarlyView.
Drum (trommel) screens are extensively utilized in the classification of packaging waste according to its particle size. The present study aims to quantify the size‐classification behaviour of elongated, hollow packaging‐like items (representing bottles, tubes and cups) using cylindrical and tubular test pieces.
Konstantin Schinkel, Bastian Küppers, Dirk Burth, Michael Rudolf Sommer, Sven Sängerlaub   +4 more
wiley   +1 more source

Building Community Support for Seat Belt Enforcement: Implementation of Buckle Up Like a Champion Today in Norman, Oklahoma [PDF]

This demonstration program used a holistic, multi-faceted approach containing Data-Driven Approaches to Crime and Traffic Safety (DDACTS), seat belt enforcement, community partner activity, education, and outreach to increase public support for ...
Lococo, Kathy H., Alonge, Mark A, Lantz, Colleen, Schaeffer, Robert, TransAnalytics, LLC, Highway Safety Network, Bieski, Ashley   +6 more
core  

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

Oral History Interview with William Belt, December 5, 2005

, 2005
The National Museum of the Pacific War presents an oral interview with William Belt. Belt joined the Navy after earning a master's degree and went to midshipman' school. He earned a commission and reported aboard USS Tuscaloosa (CA-37)in May 1943.
Belt, William T.
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Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Factors Related to Increasing Safety Belt Use in States with Safety Belt Use Laws: Second Annual Report to Congress, 1988 [PDF]

This report. is the second in a series of four annual reports to theCongress on provisions of state safety belt use laws and otherprogrammatic factors related to increasing safety belt use levels.The first Congressional Report reviewed what was known ...
United States. National Highway Traffic Safety Administration. Office of Driver and Pedestrian Research, Hedlund, J., Smith, M., Blatt, J.   +3 more
core  

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source