Application of multi-group structural equation modelling for investigation of traffic barrier crash severity.
This study was conducted by adopting multi-group SEM to unlock the complicated relationship between confounding factors and traffic barrier crash severity by considering differences across two important groups. Due to the possible difference across different highway systems, multi-group SEM was used instead of standard SEM to account for the differences across highway and interstate roadway system. SEM is a combination of confirmatory and path analysis, which could examine relationship between different observed and latent factors. Besides using factor analysis for identification of latent factors, item/variable cluster analysis was conducted to identify all the latent factors. Although cluster analysis often has been used in other fields, this is the first time this method has been applied in transportation problems for SEM modeling. The inclusion of the factors identified by cluster analysis show an improvement in goodness of fit. This study was conducted to evaluate the traffic barrier crash severity in terms of death, injury and severity of crashes. It examined the nature and causes of severe traffic barrier in Wyoming. The results indicated that different factors contribute to the severity size of traffic barrier crashes including different traffic barrier types, demographic characteristics, weather conditions, and indirect impact of force direction. The results indicated that collision force is a latent factor with highest impact on crash severity compared with other la...
Publication date: Available online 3 June 2020Source: The Journal of Molecular DiagnosticsAuthor(s): Anthony N. Sireci, Jay L. Patel, Loren Joseph, Matthew C. Hiemenz, Oana C. Rosca, Samuel K. Caughron, Sarah A. Thibault-Sennett, Tara L. Burke, Dara L. Aisner
Publication date: Available online 2 June 2020Source: Pathology - Research and PracticeAuthor(s): Theodore Vougiouklakis, Brendan J. Belovarac, Andrew Lytle, Luis Chiriboga, Ugur Ozerdem
Publication date: Available online 2 June 2020Source: Pathology - Research and PracticeAuthor(s): Hyeongjoo Kim, Taewan Kim, Gunn Jaygal, Jongsoo Woo, Chang-Jin Kim, Moo-Jun Baek, Dongjun Jeong
Publication date: Available online 2 June 2020Source: Pathology - Research and PracticeAuthor(s): Qian Wu, Weiya Wang, Ping Zhou, Yiyun Fu, Ying Zhang, Yang W. Shao, Lili Jiang
Publication date: Available online 2 June 2020Source: The Journal of Foot and Ankle SurgeryAuthor(s): Sergio Agudiez Calvo, Jorge Ballesteros de Frutos, Héctor Raúl Cabezas García, Daniel Pecos Martin, Tomás Gallego Izquierdo
Publication date: Available online 2 June 2020Source: Orthopaedics &Traumatology: Surgery &ResearchAuthor(s): Alexandre Hardy, Guillaume Lefebvre
Publication date: Available online 2 June 2020Source: Journal of Orthopaedic TranslationAuthor(s): Zihao He, Linyang Chu, Xuqiang Liu, Xuequan Han, Kai Zhang, Mengning Yan, Xiaofeng Li, Zhifeng Yu
Publication date: Available online 3 June 2020Source: Journal of Clinical Orthopaedics and TraumaAuthor(s): Alaa A. Dawood
This study aims to assess whether older adults with low muscle mass or strength, in the presence of obesity, have an increased risk of knee (TKR) and hip replacement (THR) over 13 years. 1082 community-dwelling older adults (51% women; mean age 62.9 ± 7.5 years) were studied at baseline and multiple time points over 13 years. The incidence of TKR and THR was determined by data linkage to National Joint Replacement Registry. Appendicular lean and fat mass were measure d using DXA. Lower-limb muscle strength (LMS) was assessed by dynamometer. Low muscle mass and strength were defined as t...
Publication date: Available online 2 June 2020Source: Journal of OptometryAuthor(s): Tahereh Rakhshandadi, Mohamad-Reza Sedaghat, Farshad Askarizadeh, Hamed Momeni-Moghaddam, Mehdi Khabazkhoob, Abbasali Yekta, Foroozan Narooie-Noori