[Purpose] To evaluate the sensitivity and specificity of the Safe Driving Behavior Measure and the Driving Habits Questionnaire in community-dwelling older self-drivers. [Subjects and Methods] Forty-five older participated in this study, to measure the Safe Driving Behavior Measure and the Driving Habits Questionnaire. Sensitivity and specificity were calculated along with cut-off values and overall accuracy of each measure as determined by the participants operating characteristic curve and the area under the curve. Multivariate logistic regression analysis was employed to identify predictors of driving abilities. [Results] The sensitivities were 0.538 for Safe Driving Behavior Measure, and 0.577, 0.423, and 0.615 for the difficulty, crash and citations, and driving space on domains of the Driving Habits Questionnaire, respectively. The specificities of the person-vehicle domain, person-environment domain, and person-vehicle-environment domain of the Safe Driving Behavior Measure were 0.474, 0.526, and 0.421, respectively, while the Driving Habits Questionnaire domains, the specificities of difficulty, crash and citations, and driving space were 0.526, 0.211, and 0.421, respectively. [Conclusion] The results of this study suggest that factors related to the accident history of older self-drivers were not well-explained, although the Safe Driving Behavior Measure and Driving Habits Questionnaire domains have the potential to determine driving-related accident history.
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http://dx.doi.org/10.1589/jpts.28.2816 | DOI Listing |
Sci Total Environ
January 2025
Global Centre for Environmental Remediation (GCER), College of Engineering, Science and Environment, University of Newcastle, University Drive, Callaghan, NSW 2308, Australia; crc for Contamination Assessment and Remediation of the Environment (crcCARE), ATC Building, University Drive, Callaghan, NSW 2308, Australia. Electronic address:
Agricultural activities are essential for sustaining the global population, yet they exert considerable pressure on the environment. A major challenge we face today is agricultural pollution, much of which is diffuse in nature, lacking a clear point of origin for chemical discharge. Modern agricultural practices, which often depend on substantial applications of fertilizers, pesticides, and irrigation water, are key contributors to this form of pollution.
View Article and Find Full Text PDFAnn Pharmacother
January 2025
Division of Pharmacy Practice and Administration, School of Pharmacy, University of Missouri-Kansas City, Kansas City, MO, USA.
Objective: To review the efficacy of iloperidone for mania associated with bipolar I disorder and discuss its safety profile (eg, QTc prolongation, orthostatic hypotension, and metabolic adverse effects).
Data Sources: Literature was identified using PubMed (1966-September 2024), OVID (1984-November 2024), and clinicaltrials.gov.
Sensors (Basel)
December 2024
Electronics Departament, University of Alcalá (UAH), 28805 Alcalá de Henares, Madrid, Spain.
The use of Deep Learning algorithms in the domain of Decision Making for Autonomous Vehicles has garnered significant attention in the literature in recent years, showcasing considerable potential. Nevertheless, most of the solutions proposed by the scientific community encounter difficulties in real-world applications. This paper aims to provide a realistic implementation of a hybrid Decision Making module in an Autonomous Driving stack, integrating the learning capabilities from the experience of Deep Reinforcement Learning algorithms and the reliability of classical methodologies.
View Article and Find Full Text PDFTraffic Inj Prev
January 2025
National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Centre, Beijing, China.
Objective: Attention forms the foundation for the formation of situation awareness. Low situation awareness can lead to driving performance decline, which can be dangerous in driving. The goal of this study is to investigate how different types of pre-takeover tasks, involving cognitive, visual and physical resources engagement, as well as individual attentional function, affect driver's attention restoration in conditionally automated driving.
View Article and Find Full Text PDFCurr Cardiol Rep
January 2025
Department of Cardiovascular & Thoracic Surgery, Sandra Atlas Bass Heart Hospital at North Shore University Hospital, Northwell Health, 300 Community Drive, 1 DSU, Manhasset, NY, 11030, USA.
Purpose Of Review: This article discusses a tailored approach to managing cardiogenic shock and temporary mechanical circulatory support (tMCS). We also outline specific mobilization strategies for patients with different tMCS devices and configurations, which can be enabled by this tailored approach to cardiogenic shock management.
Recent Findings: Safe and effective mobilization of patients with cardiogenic shock receiving tMCS can be accomplished.
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