Showing 5,261 - 5,280 results of 8,912 for search '"The Road"', query time: 0.06s Refine Results
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    Prevalence of cell phone use while driving in different urban settings. A roadside observational study in maputo city, Mozambique by Alfredo Júlio Maposse, Lucie Laflamme, Franziska Fischer, Jette Möller

    Published 2025-01-01
    “…Methods: A roadside observational study was conducted to assess cell phone use while driving in three typical urban environments (on straight roads, at intersections, and by roadside markets) during three daytime periods. …”
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    Risk factors for overtaking, rear-end, and door crashes involving bicycles in the United Kingdom: Revisited and reanalysed. by Chun-Chieh Chao, Hon-Ping Ma, Li Wei, Yen-Nung Lin, Chenyi Chen, Wafaa Saleh, Bayu Satria Wiratama, Akhmad Fajri Widodo, Shou-Chien Hsu, Shih Yu Ko, Hui-An Lin, Cheng-Wei Chan, Chih-Wei Pai

    Published 2025-01-01
    “…However, few studies have focused explicitly on three common types of bicycle crashes on road segments: overtaking, rear-end, and door crashes. …”
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    The Impact of COVID-19 on Clinical Outcomes in Patients With Traumatic Brain Injury by Farnaz Mahdavi, Sima Fallah-Arzpeima, Zoheir Reihanian, Khatereh Asadi, Nooshin Zaresharifi, Roghaye Zare, Mohammad Ali Yazdanipour, Masoud Shabani Chobe

    Published 2025-01-01
    “…A total of 128 TBI patients were identified during 19 months of the COVID-19 pandemic. Results: Road accidents account for 92.2% of TBI. Among different types of brain lesions, subdural hematoma (SDH) had a significant relationship with COVID-19 (P=0.043). …”
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    Identifying Factors Influencing Urban Bus Drivers’ Distraction: A Qualitative Study in Tehran, Iran by Fatemeh Sadat Mirnajafi Zadeh, Mojtaba Khosravi Danesh, Ali Nahvi, Abbas Rahimi Foroushani, Mohammad Javad SheikhMozafari, Adel Mazloumi

    Published 2024-12-01
    “…Introduction: Despite advancements in road safety and vehicle design, road accidents remain prevalent, a quarter of which are caused by driver distraction. …”
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    Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion by Tursun Mamat, Abdukeram Dolkun, Runchang He, Yonghui Zhang, Zulipapar Nigat, Hanchen Du

    Published 2025-01-01
    “…Pavement distress is one of the most serious and prevalent diseases in pavement road detection. However, traditional methods for crack detection often suffer from low efficiency and limited accuracy, necessitating improvements in the accuracy of existing crack detection algorithms. …”
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    Assessment of Traffic-Related Ambient Air Particulate Matter (PM) Levels in Douala, Cameroon by Yannick Cédric Ngangmo, Cyrille Adiang Mezoue, Cyrille Meukaleuni, Brice B. S. Wandjie, David Monkam

    Published 2024-01-01
    “…The assessment reveals that most of the particulate matter during the measurement period was generated by road traffic. The concentration measured values of the pollutants are three times for PM2.5 and four times for PM10 above the recent WHO limits for daily exposure. …”
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