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Large scale (e.g. regional or national) assessments of contaminated sites may be very costly in terms of investigation and methodological (i.e. risk assessment procedures) requirements and may produce a quantity of information that usually discourages examination by decision-makers. Moreover, most of the existing tools effectively support local environmental risk assessment and management, but lack the capabilities of larger scale analysis, not mentioning the absence of the relevant component of socio-economic prioritization. To respond to the concerns and the management needs of experts and decision makers, the Spatial decision support sYstem for Regional rIsk Assessment of Degraded land (SYRIADE DSS) was developed and is presented according to its three modules: Regional Risk Assessment, Socio-economic Assessment and Integrated Assessment, respectively. The system allows to rank potentially contaminated sites for priority of investigation, when no information on characterization and risk by site specific methodologies is available. This GIS-based system embeds an innovative spatial and relative risk assessment procedure, and proposes the integrated analysis of different data (environmental and socio-economic) for the concerned sites, eliciting when necessary experts' knowledge and stakeholders' values (through Multi Criteria Decision Analysis, MCDA, methodologies). The application to a Polish case-study shows the performance and the flexibility of the system in investigating and mapping (potentially) contaminated sites at the regional scale.
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http://dx.doi.org/10.1016/j.envint.2012.07.005 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Food Science and Technology, Kaunas University of Technology, Kaunas, Lithuania.
Background: Fermented foods vary significantly by food substrate and regional consumption patterns. Although they are consumed worldwide, their intake and potential health benefits remain understudied. Europe, in particular, lacks specific consumption recommendations for most fermented foods.
View Article and Find Full Text PDFJAMA Neurol
September 2025
Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Importance: Exposure to fine particulate matter air pollution (PM2.5) may increase risk for dementia. It is unknown whether this association is mediated by dementia-related neuropathologic change found at autopsy.
View Article and Find Full Text PDFMacromol Biosci
September 2025
Department of Chemistry and Biochemistry, Concordia University, Montreal, Quebec, Canada.
Timely and accurate assessment of wounds during the healing process is crucial for proper diagnosis and treatment. Conventional wound dressings lack both real-time monitoring capabilities and active therapeutic functionalities, limiting their effectiveness in dynamic wound environments. Herein, we report our proof-of-concept approach exploring the unique emission properties and antimicrobial activities of carbon nanodots (CNDs) for simultaneous detection and treatment of bacteria.
View Article and Find Full Text PDFJAMA Pediatr
September 2025
Diabetes Research Envisioned and Accomplished in Manitoba (DREAM) Research Theme, Children's Hospital Research Institute of Manitoba, Winnipeg, Canada.
Importance: Youth living with type 1 diabetes (T1D) are increasingly choosing automated insulin delivery (AID) systems to manage their blood glucose. Few systematic reviews meta-analyzing results from randomized clinical trials (RCTs) are available to guide decision-making.
Objective: To study the association of prolonged AID system use in an outpatient setting with measures of glucose management and quality of life in youth with T1D.
J Gerontol A Biol Sci Med Sci
September 2025
Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Background: Ambulatory older residents in long-term care(LTC) have the highest risk of falling. However, the relationship between ambulatory activity (steps per day) and fall risk in LTC is unclear. This study examined whether baseline daily step count, functional capacity and cognitive function predicted falls in LTC residents, and whether functional capacity modified the relationship between step count and fall risk.
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