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Interpretable Machine Learning Models Delivering a New Perspective for the Reaction Mechanism between Organic Pollutants and Oxidative Radicals.
Environ Sci Technol
January 2025
Chemistry & Chemical Engineering Data Center, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
Machine learning (ML) is expected to bring new insights into the impact of organic structures on the reaction mechanisms in reactive oxygen species oxidation. However, understanding the underlying chemical mechanisms still faces challenges due to the limited interpretability of the ML models. In this study, interpretable ML models were established to predict the second-order rate constants between hydroxyl radicals (OH) and organics ().
View Article and Find Full Text PDFFeasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.
Nurs Rep
December 2024
Mental Health and Specialist Services, West Moreton Health, Brisbane, QLD 4076, Australia.
Background: Optimum efficiency and responsiveness to callers of mental health helplines can only be achieved if call priority is accurately identified. Currently, call operators making a triage assessment rely heavily on their clinical judgment and experience. Due to the significant morbidity and mortality associated with mental illness, there is an urgent need to identify callers to helplines who have a high level of distress and need to be seen by a clinician who can offer interventions for treatment.
View Article and Find Full Text PDFThe relationship between brain structure and function during novel grammar learning across development.
Cereb Cortex
December 2024
Donders Institute for Brain, Cognition and Behaviour, Radboud University and Radboud University Medical Center, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands.
In this study, we explored the relationship between developmental differences in gray matter structure and grammar learning ability in 159 Dutch-speaking individuals (8 to 25 yr). The data were collected as part of a recent large-scale functional MRI study (Menks WM, Ekerdt C, Lemhöfer K, Kidd E, Fernández G, McQueen JM, Janzen G. Developmental changes in brain activation during novel grammar learning in 8-25-year-olds.
View Article and Find Full Text PDFPublic perspectives on COVID-19 triage protocols for access to critical care in extreme pandemic context.
PLoS One
December 2024
Research Centre of the Sainte-Justine University Hospital, Montréal, Québec, Canada.
Article Synopsis
- COVID-19 triage protocols are developed to manage resource shortages in ICUs and have sparked ethical debates, particularly regarding potential biases against certain groups based on age, frailty, or perceived social value.
- The online Democratic Deliberation conducted in May and June 2022 in Quebec and Ontario aimed to gather public opinions on acceptable considerations and values that should guide these protocols.
- Analysis revealed three main themes: the need for public acceptance of the protocols, essential considerations to include in triage decisions, and conditions that could enhance acceptance, with participants generally favoring prioritization based on survival prognosis and advocating for structured decision-making to reduce subjectivity.
Promoting equity in adolescent health in Latin America: designing a comprehensive Sex education program using Intervention Mapping. A mixed methods study.
Front Reprod Health
November 2024
Centre of Excellence for Women's Health, Vancouver, BC, Canada.
Introduction: Implementing sex education programs during adolescence is crucial for addressing the risks associated with sexuality. However, some of these interventions lack proper incorporation of a gender perspective and maintain a heteronormative and biologically-focused approach, potentially resulting in inequitable outcomes for adolescents. In response, comprehensive sex education is most effective due to its multidimensional view of sexuality.
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