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Development of national post-fire restoration system to assess net GHG impacts and salvage biomass availability.
MethodsX
December 2024
Natural Resources Canada, Canadian Forest Service, 506 Burnside Road West, Victoria, BC, V8Z1M5, Canada.
In light of the recent unprecedented wildfires in Canada and the potential for increasing burned areas in the future, there is a need to explore post-fire salvage harvest and restoration and the implications for greenhouse gas (GHG) emissions. Salvage logging and replanting initiatives offer a potential solution by regrowing forests more quickly while meeting societal demands for wood and bioenergy. This study presents a comprehensive modeling framework to estimate post-fire salvage biomass and net GHG emissions relative to a 'do-nothing' baseline for all of Canada's harvest-eligible forests.
View Article and Find Full Text PDFThis study explored whether baseline autonomous motivation (AM), controlled motivation (CM), and relative autonomy index (RAI) scores predicted 12-month weight in a three-arm randomized controlled trial of internet weight loss programs in primary care. It also evaluated perceived accountability to a primary care provider for weight loss as a moderator and study engagement (operationalized as weeks logged into the study website) as a mediator of these relationships. Participants with complete data for all model variables ( = 428) were included.
View Article and Find Full Text PDFThe Association of Sodium or Potassium Intake Timing with Athens Insomnia Scale Scores: A Cross-Sectional Study.
Nutrients
December 2024
Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-0037, Japan.
Background/objectives: Insomnia is a significant public health problem affecting a large population. Although previous research has explored the relationship between specific nutrients and insomnia, comprehensive analyses of daily eating patterns of macro- and micronutrients remain limited. Since nocturnal hypertension is related to sodium/potassium intake and sleep disturbances, the present cross-sectional study hypothesized that daily eating patterns of potassium and sodium would be associated with Athens Insomnia Scale (AIS) scores.
View Article and Find Full Text PDFUsing One-Shot Prompting of Non-Fine-Tuned Commercial Artificial Intelligence to Assess Nutrients from Photographs of Japanese Meals.
J Diabetes Sci Technol
January 2025
Department of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: Diet interventions often have poor adherence due to burdensome food logging. Approaches using photographs assessed by artificial intelligence (AI) may make food logging easier, if they are adequately accurate.
Method: We used OpenAI's GPT-4o model with one-shot prompts and no fine-tuning to assess energy, fat, protein, carbohydrate, fiber, and salt through photographs of 22 meals, comparing assessments to weighed food records for each meal and to assessments of dieticians.
Perceptions of Machine Learning among Therapists Practicing Applied Behavior Analysis: A National Survey.
Behav Anal Pract
December 2024
Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
Unlabelled: Collecting data and logging behaviors of clients who have autism spectrum disorder (ASD) during applied behavior analysis (ABA) therapy sessions can be challenging in real time, especially when the behaviors require a rapid response, like self-injury or aggression. Little information is available about the automation of data collection in ABA therapy, such as through machine learning (ML). Our survey of ABA therapists nationally revealed mixed levels of familiarity with ML and generally neutral responses to statements endorsing the benefits of ML.
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