In intelligent transportation, various types of sensors are used both in traffic control systems as well as in the control, safety, and entertainment systems of the vehicles themselves. In the process of educating future designers and developers of such systems, it is necessary to familiarize them with the operation and parameters of sensors. The recent years of the COVID-19 pandemic have disturbed this process due to the need to conduct classes remotely. This article presents the general concept of a laboratory stand for testing sensors of electrical and non-electrical quantities, which can be used both in stationary and remote learning. Additionally, the practical implementation of two laboratory stands for testing current and linear displacement sensors was also presented. Both stands have been tested in the remote access mode. The tests showed some shortcomings in the management software but also confirmed the correctness of the adopted concept of their implementation.
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http://dx.doi.org/10.3390/s23041928 | DOI Listing |
Alzheimers Dement
December 2024
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Background: Many proposed clinical decision support systems (CDSS) require multiple disparate data elements as input, which makes implementation difficult, and furthermore have a black-box nature leading to low interpretability. Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is an established modality for the diagnosis of dementia, and a CDSS that uses only an FDG-PET image to produce a reliable and understandable result would ease both of these challenges to clinical application.
Method: A deep variational autoencoder (VAE) was used to extract a latent representation of each image through prior training from FDG-PET brain images (n=2000).
Alzheimers Dement
December 2024
Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany.
Background: With a global ageing population, there is an increasing demand for fast and reliable early diagnosis of individuals. Convolutional neural networks (CNNs) have an immense potential in assisting clinicians in diagnosing dementia. Regional atrophy patterns, which are visible in T1-weighted MRI scans, have been consistently identified by the CNNs with high accuracy.
View Article and Find Full Text PDFBackground: Timely post-diagnostic support is necessary to assist people living with dementia and their families to preserve their independence and to facilitate emotional and practical adaptation to dementia diagnosis and life after diagnosis. However, there is a noticeable scarcity of evidence concerning support following dementia diagnosis. Our objective was to examine the following aspects: the nature and type of evidence pertaining to post-diagnostic support within the initial two years of diagnosis; the conceptualization of post-diagnostic support; and the existing gaps in the literature concerning this essential support.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Background: Ethnic and racial diversity in clinical research is critical for developing generalizable treatments and caregiving strategies. Barriers to participation among persons from underrepresented groups (URG) are systemic in clinical research. To increase URG research participation, we designed a community-based data collection site where study participants complete full research visits.
View Article and Find Full Text PDFViolence Against Women
January 2025
Ladysmith, British Columbia, Canada.
Gender and intersectional data are recognized as vital to addressing gender-based violence. We engage this thesis through a case study of a gender data project at the Colombia-Venezuela border. Coming from an underexplored vantage point in the literature, we trouble the assumption that more data are always better for advancing feminist objectives around GBV.
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