It is known that distraction reduces the benefits of collision avoidance systems by slowing a driver's response. The current study examined the impact of a drivers' use of an in-vehicle intersection crossing assist system under demanding cognitive load conditions. Forty eight drivers crossed a busy rural intersection in a simulated environment while completing four blocks of trials, in half of which they used the assist system and engaged in a working memory task. Participants were dichotomized into older and younger age groups. The results showed a tendency towards conservative driving in a single-task condition when only using the assist system. A similar shift in driving style was observed when drivers crossed the intersection while engaged in a secondary task. Using the in-vehicle intersection crossing assist system under cognitively demanding conditions did not result in adverse consequences-the impact of distraction was different compared to a typical collision avoidance system. Older drivers showed some evidence of more conservative intersection crossing, however they also appeared to rely more on the in-vehicle assist system when presented with an extraneous additional task.
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http://dx.doi.org/10.1016/j.aap.2012.07.025 | DOI Listing |
J Comput Assist Tomogr
December 2024
From the Department of Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX.
Objective: This study aimed to assess the effectiveness of a dual digital alert system and automatic radiologist reassignment in improving the efficiency of quantitative imaging report delivery for clinical trials.
Materials And Methods: Assessing tumor metrics is critical to oncologic disease management, informed treatment planning, and for monitoring therapeutic response and even more so in cancer clinical research trials. A collaborative effort with the Institutional Research Information Systems division led to developing a web-based system with a Java backend, tested using Agile methodology to improve patient care with improved turnaround time (TAT) of quantitative reports.
Nanomicro Lett
December 2024
Department of Chemistry and Laboratory of Advanced Materials, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, State Key Laboratory of Molecular Engineering of Polymers, Collaborative Innovation Center of Chemistry for Energy Materials (2011-iChEM), College of Chemistry and Materials, Fudan University, Shanghai, People's Republic of China.
Chloroform and other volatile organic pollutants have garnered widespread attention from the public and researchers, because of their potential harm to the respiratory system, nervous system, skin, and eyes. However, research on chloroform vapor sensing is still in its early stages, primarily due to the lack of specific recognition motif. Here we report a mesoporous photonic crystal sensor incorporating carbon dots-based nanoreceptor (HMSS@CDs-PCs) for enhanced chloroform sensing.
View Article and Find Full Text PDFClin Chem
December 2024
Biological Metrology, National Measurement Laboratory (NML), LGC, London, United Kingdom.
Background: Nucleic acid amplification tests (NAATs) assist in the diagnosis of numerous infectious diseases. They are typically sensitive and specific and can be quickly developed and adapted. Far more challenging is the development of standards to ensure NAATs are performing within specification; reference materials take time to develop and suitable reference measurement procedures (RMPs) have not been available.
View Article and Find Full Text PDFEnviron Geochem Health
December 2024
State Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, No.2, West Yuan-Ming-Yuan Road, Beijing, 100193, China.
Imidacloprid, a key neonicotinoid insecticide for pest control, is widely used in various crops, including peanuts. This study aimed to fill research gaps by analysing the residue behaviour of imidacloprid in peanut fields treated with flowable concentrate for seed treatment (FS) formulations while assessing potential risks to human health and ecosystems. A validated analytical method, using QuEChERS separation and UPLC-MS/MS detection, reliably quantified imidacloprid residues in peanuts and soil.
View Article and Find Full Text PDFPLoS One
December 2024
Shanghai Key Laboratory of Navigation and Location-based Services, School of Sensing Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China.
Image registration has demonstrated its significance as an essential tool for target recognition, classification, tracking, and damage assessment during natural catastrophes. The image registration process relies on the identification of numerous reliable features; thus, low resolutions, poor lighting conditions, and low image contrast substantially diminish the number of dependable features available for registration. Contrast stretching enhances image quality, facilitating the object detection process.
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