This paper describes the application of simple linear models to help design environmental monitoring systems. This process involves five steps: (1) The derivation of a schematic of the identified pollutant's transport and fate. (2) The derivation of the equation in the schematic. (3) Estimation of input data and numerical solution. (4) Comparison with initial field data. (5) Design of a monitoring system.Two examples of how this system was applied under field conditions are given. Advantages of this approach are: (1) It forces a consideration of the system as a whole rather than a series of distinct environmental components. (2) It forces a consideration of the physical-chemical and biological factors effecting pollutant transport in the system. (3) It sets up an analytical procedure for data analysis at the time the monitoring system is designed. (4) It helps show the functional relationship between pollutant levels in different environmental media. (5) It identifies points where sampling design could be changed to provide for a more efficient monitoring system. (6) It identifies gaps in our knowledge base.
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Nutr J
January 2025
École de nutrition, Faculté des sciences de l'agriculture et de l'alimentation (FSAA), Université Laval, 2440, boulevard Hochelaga, Québec, Québec, G1V 0A6, Canada.
Background: A better understanding of correlates of sugary drink consumption is essential to inform public health interventions. This study examined differences in perceived healthiness of sugary drinks and related social norms between countries, over time, and sociodemographic groups and associations with sugary drink intake.
Methods: This study used annual cross-sectional data from the International Food Policy Study from 2018 to 2021 in Australia, Canada, the United Kingdom, the United States, and Mexico.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFJ Youth Adolesc
January 2025
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Peer victimization has been demonstrated to have a long-lasting negative impact on adolescents' psychological well-being, yet its impact on school engagement is inconclusive, particularly during high school. In addition, research about the role of classroom-level victimization in the association between individual-level peer victimization and adolescents' school engagement remains underexplored. Previous research has relied solely on self-report measures to assess peer victimization, potentially limiting the scope of understanding.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Purposes: The presence of clinically significant prostate cancer (csPCa) is equivocal for patients with prostate imaging reporting and data system (PI-RADS) category 3. We aim to develop deep learning models for re-stratify risks in PI-RADS category 3 patients.
Methods: This retrospective study included a bi-parametric MRI of 1567 consecutive male patients from six centers (Centers 1-6) between Jan 2015 and Dec 2020.
γδ T cells producing either interleukin-17A (γδ cells) or interferon-γ (γδ cells) are generated in the mouse thymus, but the molecular regulators of their peripheral functions are not fully characterized. Here we established an Il17a-GFP:Ifng-YFP double-reporter mouse strain to analyze at unprecedented depth the transcriptomes of pure γδ cell versus γδ cell populations from peripheral lymph nodes. Within a very high fraction of differentially expressed genes, we identify a panel of 20 new signature genes in steady-state γδ cells versus γδ cells, which we further validate in models of experimental autoimmune encephalomyelitis and cerebral malaria, respectively.
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