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The groundwater VULnerability to PESticide software system (VULPES) is a user-friendly, GIS-based and client-server software developed to identify vulnerable areas to pesticides at regional level making use of pesticide fate models. It is a Decision Support System aimed to assist the public policy makers to investigate areas sensitive to specific substances and to propose limitations of use or mitigation measures. VULPES identify the so-called Uniform Geographical Unit (UGU) which are areas characterised by the same agro-environmental conditions. In each UGU it applies the PELMO model obtaining the 80th percentile of the substance concentration at 1 metre depth; then VULPES creates a vulnerability map in shapefile format which classifies the outputs comparing them with the lower threshold set to the legal limit concentration in groundwater (0.1 μg/l). This paper describes the software structure in details and a case study with the application of the terbuthylazine herbicide on the Lombardy region territory. Three zones with different degrees of vulnerabilities has been identified and described.
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http://dx.doi.org/10.1016/j.scitotenv.2015.05.112 | DOI Listing |
IEEE J Biomed Health Inform
September 2025
Although high heels are commonly worn for their perceived aesthetic value, they can have negative effects on the health of the foot and lower limbs. Wearing excessively high heels for long periods can negatively affect the wearer's ankles, knees, and spine. In this study, a smartphone app based on the You Only Look Once (YOLO) v8 model was developed to provide users with personalized maximum height recommendations for high-heeled shoes to reduce these health risks.
View Article and Find Full Text PDFRadiol Artif Intell
May 2025
Advanced Imaging and Artificial Intelligence Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
Purpose To present and evaluate Dafne (deep anatomical federated network), a freely available decentralized, collaborative deep learning system for the semantic segmentation of radiologic images through federated incremental learning. Materials and Methods Dafne is free software with a client-server architecture. The client side is an advanced user interface that applies the deep learning models stored on the server to the user's data and allows the user to check and refine the prediction.
View Article and Find Full Text PDFComput Methods Programs Biomed
March 2025
School of Communication and Information Engineering, Shanghai University, 200444, Shanghai, China. Electronic address:
Background And Objectives: In the current global health landscape, there is an increasing demand for rapid and accurate assessment of mental states. Traditional assessment methods typically rely on face-to-face interactions, which are not only time-consuming but also highly subjective. Addressing this issue, this study aims to develop a client-server-based, non-contact multimodal emotion and behavior recognition system to enhance the efficiency and accuracy of mental state assessments.
View Article and Find Full Text PDFComput Inform Nurs
August 2024
Author Affiliations: Federal Institute of Santa Catarina (Dr Costa; and Dr Nobrega), Florianópolis, Santa Catarina, Brazil; University of the State of Amazonas (UEA) and University Nilton Lins (Dr C.L. Bentes), Manaus, Amazonas, Brazil; School of Nursing and Midwifery, Queen's University (Dr Lynn),
This study shows the development of a software for calculating the number of nursing team members required for providing care during the coronavirus disease 2019 pandemic. Study about the development of a technology based on the literature about data and indicators. The indicators were systematized in the following dimensions: institutional, professional, and occupational structure, all with a focus on coronavirus disease 2019.
View Article and Find Full Text PDFCureus
May 2024
Department of Community Medicine, Maharishi Markandeshwar College of Medical Science and Research, Ambala, IND.
Introduction The World Health Organization has drawn attention to the fact that coronary artery disease (CAD) is our modern "epidemic." Nowadays, sudden death during sleep has become prevalent due to a lack of oxygen supply to the heart. CAD causes more deaths and disabilities and incurs greater economic costs than any other illness in the developed world.
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