The paper reviews some recent articles on hypoglycaemia, and the prevalence of road traffic accidents, respectively, as experienced by diabetic patients. Two aspects are particularly emphasised: according to recent recommendations, type-1 (insulin-dependent) diabetic patients are advised to strive for near-normoglycaemia, which may, in turn, increase their risk of getting hypoglycaemia; hence, car driving may become particularly dangerous for insulin-treated patients. The recent literature contradicts the widely held belief that insulin-treated diabetics are more frequently involved in road traffic accidents than the average population. However, there are some subpopulations among the type-1 diabetic patients who may need special safeguards against hypoglycaemia-induced road traffic accidents; this issue is being discussed in the paper in more detail.
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Sci Rep
January 2025
Shandong Provincial Communications Planning and Design Institute Group Co., Ltd., Jinan, 250023, China.
The CO emission factor is the basis for analyzing vehicle CO emissions. This study establishes a correlation model between the fuel CO emission factor and the mileage-based CO emission factor using fuel consumption data, then analyzes the fuel consumption and CO emission situation of vehicles in Beijing with the established models. The main research conclusions are as follows: The proposed correlation models are effective for analyzing urban vehicle CO emissions.
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Lecturer of Oral and Maxillofacial Surgery, Faculty of Dentistry, Ain Shams University.
Osteoma is a rare, asymptomatic, and slowly growing benign tumor of bone. Upon reviewing the literature, only 21 cases were previously reported in the mandibular condyle. A 19-year-old male patient presented to the Department of Oral and Maxillofacial Surgery of Ain Shams University complaining of hypomobility and facial asymmetry involving the lower jaw.
View Article and Find Full Text PDFEnviron Technol
January 2025
Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Brazil.
Precise estimates of vehicular emissions at fine spatial scales are essential for effective emission reduction strategies. Achieving high-resolution vehicular emission inventories necessitates detailed data on traffic flow, driving patterns, and vehicle speeds for each road network segment. However, in developing countries, the lack of comprehensive traffic data, limited infrastructure, and insufficient monitoring systems constrains the development of high-resolution inventories.
View Article and Find Full Text PDFData Brief
February 2025
North Carolina Agricultural and Technical State University, 1601 E Market St, Greensboro, NC 27411, United States.
Contemporary research in 3D object detection for autonomous driving primarily focuses on identifying standard entities like vehicles and pedestrians. However, the need for large, precisely labelled datasets limits the detection of specialized and less common objects, such as Emergency Medical Service (EMS) and law enforcement vehicles. To address this, we leveraged the Car Learning to Act (CARLA) simulator to generate and fairly distribute rare EMS vehicles, automatically labelling these objects in 3D point cloud data.
View Article and Find Full Text PDFAfr J Emerg Med
December 2024
Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Background: In Nigeria, trauma care faces challenges due to high injury and death rates from road traffic accidents and violence. Improvements are underway, but gaps in service availability, training, and coordination persist, necessitating evidence-based interventions.
Purpose: To evaluate trauma care practices in Nigeria, focusing on practitioners' perceptions of training, resources, and care quality to inform policy and practice enhancements.
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