The Climate Schools: Alcohol and Cannabis Module is a universal harm-minimization school-based prevention program for adolescents aged 13-15 years. The core content of the program is delivered over the Internet using cartoon storylines to engage students, and teacher-driven activities reinforce the core information. The program is embedded within the school health curriculum and is easy to implement with minimal teacher training required. The program was developed in 2007 through extensive collaboration with teachers, students, and health professionals (N = 24) in Sydney, Australia and has since been evaluated (N = 764). This article describes the formative research and process of planning that formed the development of the program and the evidence base underpinning the approach. The study's limitations are noted.
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http://dx.doi.org/10.3109/10826084.2011.613441 | DOI Listing |
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June 2025
Faculty of Design and Art, University of Wuppertal, 42119 Wuppertal, Germany.
Project-based learning, with its emphasis on 'learning by doing', is the dominant teaching method in industrial design. Learners are supposed to be motivated to tackle complex problems such as those in the dynamic field of sustainability. However, it is still unclear how the process of increasing motivation within projects can be systematically targeted for specific sustainability challenges and directed towards potential later pro-environmental behavior.
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January 2025
Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
The 2019 emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its rapid spread created a public health emergency of international concern. However, the impact of the pandemic in Sub-Saharan Africa, as documented in cases, hospitalizations and deaths, appears far lower than in the Americas, Europe and Asia. Characterization of the transmission dynamics is critical for understanding how SARS-CoV-2 spreads and the true scale of the pandemic.
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January 2025
Department of Computer Science and Engineering, Indian Institute of Information Technology Design and Manufacturing (III TDM), Kurnool, Andhrapradesh, India.
Climate change poses significant challenges to global food security by altering precipitation patterns and increasing the frequency of extreme weather events such as droughts, heatwaves, and floods. These phenomena directly affect agricultural productivity, leading to lower crop yields and economic losses for farmers. This study leverages Artificial Intelligence (AI) and Explainable Artificial Intelligence (XAI) techniques to predict crop yields and assess the impacts of climate change on agriculture, providing a novel approach to understanding complex interactions between climatic and agronomic factors.
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January 2025
Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China.
Background: The genus is endemic to China and belongs to the Apiaceae family, which is widely distributed in the Himalaya-Hengduan Mountains (HHM) region. However, its morphology, phylogeny, phylogeography, taxonomy, and evolutionary history were not investigated due to insufficient sampling and lack of population sampling and plastome data. Additionally, we found that was not similar to members but resembled species in morphology, indicating that the taxonomic position of needs to be re-evaluated.
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