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Bangladesh experiences different types of natural disasters almost every year which adversely affect human health. It is very essential to identify knowledge and implementation behavior as mitigation initiatives towards climate change in community settings of Bangladesh. This study was designed to explore this issue. It was an analytical type of cross-sectional study which was conducted among 450 adult people residing in Barisal district of Bangladesh. Data were collected through face-to-face interviews using semi-structured questionnaire included socio-demographic information, knowledge and implementation behavior regarding mitigation initiatives towards climate change. Bivariate and multivariate techniques were adopted to analyze the data. The outcome reflected that a large proportion of the respondents had poor knowledge (55.1%) and poor implementation behavior (52.0%) on mitigation initiatives towards climate change. Poor knowledge was significantly more prominent among the people who were male (AOR = 1.56), Muslim (AOR = 2.55), respondents with >4 family members (AOR = 1.91) and with >3 children (AOR = 1.64) showed higher odds of poor knowledge. Poor implementation behavior was found significantly more leading among the female (AOR = 2.91), service-holder (AOR = 1.92) participants having higher monthly family incomes (AOR = 2.91), who had <1 child (AOR = 2.70), belonging ≤4 number of family members (AOR = 30.09). An alarming proportion of poor knowledge and implementation behavior were found regarding mitigation initiatives towards climate change in community settings of Bangladesh. Concerning demographic major predictors, it is essential to plan and implement sustainable and comprehensive health promotional program on climate change mitigation throughout the country. [ABSTRACT FROM AUTHOR]

Climate change mitigation necessitates increased investment in green sectors. This study proposes a methodology to predict green finance growth across various countries, aiming to encourage such investments. Our approach leverages time-series Conditional Generative Adversarial Networks (CT-GANs) for data augmentation and Nonlinear Autoregressive Neural Networks (NARNNs) for prediction. The green finance growth predicting model was applied to datasets collected from forty countries across five continents. The Augmented Dickey-Fuller (ADF) test confirmed the non-stationary nature of the data, supporting the use of Nonlinear Autoregressive Neural Networks (NARNNs). CT-GANs were then employed to augment the data for improved prediction accuracy. Results demonstrate the effectiveness of the proposed model. NARNNs trained with CT-GAN augmented data achieved superior performance across all regions, with R-squared (R2) values of 98.8%, 96.6%, and 99% for Europe, Asia, and other countries respectively. While the RMSE for Europe, Asia, and other countries are 1.26e+2, 2.16e+2, and 1.16e+2 respectively. Compared to a baseline NARNN model without augmentation, CT-GAN augmentation significantly improved both R2 and RMSE. The R2 values for the Europe, Asia, and other countries models are 96%, 73%, and 97.2%, respectively. The RMSE values for the Europe, Asia, and various countries models are 2.24e+2, 7e+2, and 2.07e+2, respectively. The Nonlinear Autoregressive Exogenous Neural Network (NARX-NN) exhibited significantly lower performance across Europe, Asia, and other countries with R2 values of 74%, 52%, and 86%, and RMSE values of 1.11e+2, 3.63e+2, and 1.8e+2, respectively. [ABSTRACT FROM AUTHOR]

Introduction: Due to the health consequences arising from climate change, medical students will inevitably interact with affected patients during their training and careers. Accordingly, medical schools must incorporate education on the impacts of climate change on health and equity into their curricula. We created a curricular thread called "Climate Change, Health, and Equity" in the first-year preclinical medical program to teach foundational concepts and foster self-reflection and critical consciousness. Methods: The authors developed a continuum of practice including administrators, educators and faculty members, students, and community partners to plan and design curricular activities. First-year medical students at Duke University School of Medicine participated in seven mandatory foundational lectures and two experiential learning opportunities in the local community. Following completion of activities, students wrote a critical reflection essay and completed a self-directed learning exercise. Essays were evaluated using the REFLECT rubric to assess if students achieved critical reflection and for thematic analysis by Bloom's Taxonomy. Results: All students (118) submitted essays. A random sample of 30 (25%) essays underwent analysis. Evaluation by the REFLECT rubric underscored that all students were reflecting or critically reflecting on thread content. Thematic analysis highlighted that all students (30/30, 100%) were adept at identifying new areas of medical knowledge and connecting concepts to individual experiences, institutional practices, and public health and policy. Most students (27/30; 90%) used emotionally laden words, expressing negative feelings like frustration and fear but also positive sentiments of solidarity and hope regarding climate change and effects on health. Many students (24/30; 80%) expressed actionable items at every level including continuing self-directed learning and conversing with patients, minimizing healthcare waste, and advocating for climate-friendly policies. Conclusion: After participating in the curricular thread, most medical students reflected on cognitive, affective, and actionable aspects relating to climate change, health, and equity. [ABSTRACT FROM AUTHOR]

Political polarization of Americans' support for climate policies often impedes the adoption of new, urgently needed climate solutions. However, recent polls suggest that younger conservatives favor adopting pro-climate policies to a greater degree than older conservatives, resulting in less political polarization among younger Americans relative to older Americans. To better understand these patterns, we analyzed Americans' support for various climate policies from 1982–2020, across 16 waves of historical, nationally representative survey data from the American National Election Studies (total N = 29,467). Regression models consistently show that, since 2012, younger Americans have been less politically polarized than older Americans on support for climate policies. Before 2012 and on non-climate policy topics, we did not find consistent statistical evidence for political polarization varying with age. These findings can inform policy debates about climate change and offer hope to environmentalists and policymakers who seek to build broad consensus for climate action at the policy level. [ABSTRACT FROM AUTHOR]

Cover crops have the potential to mitigate climate change by reducing negative impacts of agriculture on ecosystems. This study is first to quantify the net climate change mitigation impact of cover crops including land-use effects. A systematic literature and data review was conducted to identify major drivers for climate benefits and costs of cover crops in maize (Zea maize L.) production systems. The results indicate that cover crops lead to a net climate change mitigation impact (NCCMI) of 3.30 Mg CO2e ha-1 a-1. We created four scenarios with different impact weights of the drivers and all of them showing a positive NCCMI. Carbon land benefit, the carbon opportunity costs based on maize yield gains following cover crops, is the major contributor to the NCCMI (34.5% of all benefits). Carbon sequestration is the second largest contributor (33.8%). The climate costs of cover crops are mainly dominated by emissions from their seed production and foregone benefits due to land use for cover crops seeds. However, these two costs account for only 15.8% of the benefits. Extrapolating these results, planting cover crops before all maize acreage in the EU results in a climate change mitigation of 49.80 million Mg CO2e a-1, which is equivalent to 13.0% of the EU's agricultural emissions. This study highlights the importance of incorporating cover crops into sustainable cropping systems to minimize the agricultural impact to climate change. [ABSTRACT FROM AUTHOR]

The present study examined whether people of different age groups respond differently to a true versus fake consensus statement concerning climate change. In total, 309 participants were randomly exposed to a true consensus statement about climate change and 311 were exposed to a false statement. Subsequently, respondents were asked to respond to items about attitudes, feelings, and behavioral intentions concerning climate change. Compared with younger people, older persons are significantly more concerned about climate change, more likely to report that climate change is real and more willing to take climate change action. Nevertheless, older persons also are more likely to be willing to post both fake and truthful information about climate change, thus, possibly serving as spreaders of both fake and truthful information. The findings suggest that it is younger people who will benefit from further education about climate change and older people who may benefit from education about the spread of information in social media. Our findings also suggest that simply providing individuals with consensus information has only limited impact on their climate change attitudes, feelings and behavioral intentions. [ABSTRACT FROM AUTHOR]