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From collective to individual radon risk exposure: An insight into the current European regulation.
Environ Int
January 2025
Dipartimento di Geoscienze, Università di Padova, Padova, Italy.
Radon (Rn) is a radioactive gas with well-documented harmful effects; the World Health Organization has confirmed it as a cancerogenic for humans. These detrimental effects have prompted Europe to establish national reference levels to protect the exposed population. This is reflected in European directive 59/2013/EURATOM, which has been transposed into the national regulations of EU Member States.
View Article and Find Full Text PDFElevating performance and interpretability of in silico classifiers for drug proarrhythmia risk evaluations using multi-biomarker approach with ranking algorithm.
Comput Methods Programs Biomed
January 2025
Kumoh National Institute of Technology, IT convergence engineering, Gumi 39177, Republic of Korea; Kumoh National Institute of Technology, Medical IT convergence engineering, Gumi 39253, Republic of Korea; Meta Heart Inc., Gumi 39253, Republic of Korea. Electronic address:
Background And Objective: Using electrophysiological simulations and machine learning to predict drug proarrhythmia risk has gained popularity due to its effectiveness. The leading in silico drug assessment system mainly uses a single biomarker (qNet) to predict proarrhythmia risk, offering good performance and straightforward interpretation. Other advanced classifiers incorporating additional physiological biomarkers provide better predictive capabilities but are less intuitive.
View Article and Find Full Text PDFA GIS-based on application of Monte Carlo and multi-criteria decision-making approach for site suitability analysis of solar-hydrogen production: Case of Cameroon.
Heliyon
January 2025
Environmental Energy Technologies Laboratory (EETL), Department of Physics, University of Yaounde I, P.O Box 812 Yaounde, Cameroon.
This article analyzes and compares three methodologies for identifying suitable regions for solar hydrogen production using photovoltaic panels: AHP (Analytic Hierarchy Process), FAHP (Fuzzy Analytic Hierarchy Process), and MC-FAHP (Monte Carlo FAHP), integrated with GIS (Geographic Information Systems). The study employs ten criteria across technical (Global Horizontal Irradiance, temperature, slope, elevation, orientation), economic (distance from transportation and electrical networks), and social (population density, proximity to residential areas) factors. Environmental and exclusion criteria define restrictive zones.
View Article and Find Full Text PDFEngaging health system, service and consumer representatives in the co-design of a multi-criteria decision-making framework for commissioning overweight and obesity programs and services.
Health Res Policy Syst
January 2025
School of Population Health, Curtin University, GPO Box U1987, Perth, WA, 6845, Australia.
Background: Obesity is a multi-faceted problem that requires complex health system responses. While no single program or service is sufficient to meet every individual's needs, some criteria that increase the likelihood of program/service quality delivery to produce effective outcomes exist. However, although research on health commissioning is available internationally and is growing within the Australian context, no evidence exists of a multi-criteria decision-making framework to address the complexity required for effective commissioning of overweight and obesity early intervention and weight management programs or services.
View Article and Find Full Text PDFComprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach.
Sci Rep
January 2025
Business School, Sichuan University, 610059, Chengdu, China.
The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.
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