Intersections are one of the most complex and cognitively demanding driving situations. Individuals with dementia and, more precisely, Alzheimer's disease (AD), may face additional challenges negotiating intersections given the nature of their cognitive decline, which often includes deficits of attention. We developed a comprehensive evaluation scheme to assess simulated driving performance at intersections. The evaluation scheme captured all types of errors that could occur during preparation (i.e., prior to the intersection), execution (i.e., during the intersection), and recovery (i.e., after the intersection). Using the evaluation scheme, intersection behaviour in a driving simulator among 17 drivers with mild AD was compared to that of 21 healthy controls. The results indicated that across all types of intersections, mild AD drivers exhibited a greater number of errors relative to controls. Drivers with mild AD made the most errors during the preparation period leading up to the intersection. These findings present a novel approach to analyzing intersection behaviour and contribute to the growing body of research on dementia and driving.
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http://dx.doi.org/10.3390/geriatrics1030021 | DOI Listing |
Cureus
December 2024
Anna and Peter Brojde Lung Cancer Center, Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal, CAN.
Background A minority of patients receiving stereotactic body radiation therapy (SBRT) for non-small cell lung cancer (NSCLC) are not good responders. Radiomic features can be used to generate predictive algorithms and biomarkers that can determine treatment outcomes and stratify patients to their therapeutic options. This study investigated and attempted to validate the radiomic and clinical features obtained from early-stage and oligometastatic NSCLC patients who underwent SBRT, to predict local response.
View Article and Find Full Text PDFA recent advancement in distributed sensing known as the time-expanded phase-sensitive optical time-domain reflectometry (TE Φ-OTDR) addresses the trade-off between spatial resolution and detection bandwidth, enabling centimeter-scale resolution alongside RF detection bandwidth in the order of MHz. To date, TE Φ-OTDR approaches extract the fiber response from the first Nyquist zone (NZ). In this Letter, we propose a post-processing strategy to enhance the SNR by spectrally averaging different NZs.
View Article and Find Full Text PDFSci Rep
January 2025
School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China.
A subgroup analysis of a randomized study demonstrated that patients with advanced or metastatic liposarcoma treated with eribulin had longer overall survival and progression-free survival compared to those treated with dacarbazine, suggesting eribulin as a therapeutic option for advanced liposarcoma. Therefore, this study aims to evaluate the cost-effectiveness of eribulin versus dacarbazine in the treatment of advanced liposarcoma. We established a 10-year Markov model to compare the cost-effectiveness of eribulin and dacarbazine regimens.
View Article and Find Full Text PDFSci Rep
January 2025
Dental Students, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, KSA, Saudi Arabia.
Objective To evaluate the stain resistance and color stability of four Clear aligners (CA) brands against various beverages at different intervals, along with assessing the elaboration of cleaning agents. Methods In a strictly controlled lab environment, 48 CAs from four different companies (Invisalign, EON, Clear Cap, and K clear) were immersed for seven days in six different beverages based on their pH (Pepsi, orange juice, milk, coffee, and black tea), as well as a control solution (distilled water). The VITA Easy-Shade compact colorimeter used the Commission International lightening L*a*b* color scheme to evaluate the color change of the aligners at four intervals.
View Article and Find Full Text PDFUrology
January 2025
Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China; Institute of Urologic Disease, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China. Electronic address:
Objectives: To explore new metrics for assessing radical prostatectomy difficulty through a two-stage deep learning method from preoperative magnetic resonance imaging.
Methods: The procedure and metrics were validated through 290 patients consisting of laparoscopic and robot-assisted radical prostatectomy procedures from two real cohorts. The nnUNet_v2 adaptive model was trained to perform accurate segmentation of the prostate and pelvis.
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