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The COVID-19 pandemic has been scattering speedily around the world since 2019. Due to this pandemic, human life is becoming increasingly involutes and complex. Many people have died because of this virus. The lack of antiviral drugs is one of the reasons for the spreading of COVID-19 virus. This disease is spreading continuously and easily due to some common mistakes by people, like breathing, coughing and sneezing by infected persons. The main symptom is the normal flu. Therefore, in the present condition, the best precaution for this disease is the face mask, which covers both areas of mouth & nose. According to the government and the World Health Organization, everyone should wear a face mask in busy places like hospitals and marketplaces. In today's environment, it's difficult to tell if someone is wearing a mask or not, and physical inspection is impractical since it adds to labour costs. In this research, we present a mask detector that uses a machine learning facial categorization system to determine whether a person is wearing a mask or not, so that it may be connected to a CCTV system to verify that only persons wearing masks are allowed in.
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http://dx.doi.org/10.1016/j.matpr.2021.07.368 | DOI Listing |
Int J Dermatol
July 2025
Brigham and Women's Hospital, Boston, Massachusetts, USA.
Can Vet J
September 2025
Department of Clinical Sciences, Cummings School of Veterinary Medicine at Tufts University, 200 Westboro Road, North Grafton, Massachusetts 01536, USA.
Objective: Aerosol medications are recommended for use in dogs and cats. Perceived pet intolerance to a face mask/spacer might prevent clinicians from recommending them, and thus prevent owners from using them. Our goal was to evaluate the duration required to train a pet to accept a face mask/spacer.
View Article and Find Full Text PDFAm J Audiol
September 2025
Department of Head and Neck Surgery & Communication Sciences, Duke University School of Medicine, Durham, NC.
Purpose: This exploratory study examined if hearing handicap in older adults affected listening-related fatigue during health care interactions and explored whether different face mask types worn during the coronavirus disease 2019 (COVID-19) pandemic influenced this association.
Method: A cross-sectional observational study among community-dwelling adults aged 60 years and older receiving care at an academic health care system outpatient audiology or otolaryngology clinics was conducted. Eligible participants completed and returned a mail-in self-reported packet including the Hearing Handicap Inventory for the Elderly (Screener Version; HHIE-S) and the 10-item Vanderbilt Fatigue Scale for Adults (VFS-A-10).
PLoS One
September 2025
Symbiosis Institute of Technology, Symbiosis International University, Pune, India.
With the rapid development of industrial automation and intelligent manufacturing, defect detection of electronic products has become crucial in the production process. Traditional defect detection methods often face the problems of insufficient accuracy and inefficiency when dealing with complex backgrounds, tiny defects, and multiple defect types. To overcome these problems, this paper proposes Y-MaskNet, a multi-task joint learning framework based on YOLOv5 and Mask R-CNN, which aims to improve the accuracy and efficiency of defect detection and segmentation in electronic products.
View Article and Find Full Text PDFBiosaf Health
August 2025
Department of Microbiology and Immunology, University of Nevada, Reno School of Medicine, MS320, Reno 89557 Nevada, United States of America.
The role of personal protective equipment (PPE) in protecting against exposure to infectious agents and toxic chemicals is well-established. However, the global surge in PPE demand during the pandemic exposed challenges, including shortages and environmental impacts from disposable waste. Developing effective, scalable, and sustainable decontamination methods for the reuse of PPE is essential.
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