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The aim of this study is to present a novel data-driven approach developed for space heating energy demand calculation of the whole EU building stock. To develop a computationally efficient bottom-up model that takes into account building physics parameters and details of the building stock make-up, an artificial neural network (ANN) is trained on a dataset of precise building-physics models. For this purpose, 2025 building energy simulations were performed in this study, ensuring...
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Teachers’ personal beliefs and understanding about science topics play a vital role in students learning. This is especially relevant for the teaching of climate change which is a scientifically complicated topic that can also be influenced by personal and political views. Semi-structured interviews were conducted with thirteen Pakistani chemistry teachers (grades 10 & 12) to understand their knowledge about the science of climate change as well as their beliefs and practices related...
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 Background. Climate change and polluting healthcare systems are significant threats to public health. Education about planetary health and environmentally sustainable healthcare is needed to equip health professionals to meet these challenges.Objectives. To assess the knowledge, perceptions and understanding of climate change and environmental sustainability among undergraduate health sciences students at the Faculty of Health Sciences (FHS), University of Cape...
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Measurement of PM2.5 is carried out simultaneously outdoors as well as indoors using a Compact and Useful PM2.5 Instrument (CUPI) from Nov 2018 to Oct 2019. A high-time resolution data (~ 2 min interval) was recorded at Dwarka (West Delhi), New Delhi, to investigate the difference between outdoor and indoor ambient particulate matter. Year-long observations provide an opportunity to decipher that indoor PM2.5 concentration increases significantly from mid-November 2018 to mid-December 2018....
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The climate system is an excellent example of a “complex system” since there is an interplay and inter-relation of several climate variables. Variables such as the Standardized Precipitation Index (SPI) are used to indicate the drought climate condition – a negative (or positive) value of SPI would imply a dry (or wet) state in a region. It is difficult to identify the factors influencing the SPI or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics...
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The study examined the training needs on climate change adaptation measures in crop and livestock production among field extension workers in the Southeast agro-ecological zone of Nigeria. Specifically, the study identified trainings on climate change adaptation in crop and livestock production received by field extension staff, training needs on climate change adaptation on livestock and crop production among the workers and the constraints faced by the workers in disseminating climate...
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The climate system is an excellent example of a “complex system” since there is an interplay and inter-relation of several climate variables. Variables such as the Standardized Precipitation Index (SPI) are used to indicate the drought climate condition – a negative (or positive) value of SPI would imply a dry (or wet) state in a region. It is difficult to identify the factors influencing the SPI or their inter-relations (including feedback loops). Here, we aim to study the complex dynamics...
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Cauvery Delta Zone is present in the eastern part of Tamil Nadu, popularly known as ‘rice bowl’ of Tamil Nadu. It constitutes of about 11.1% of total area of the state. It lies between 10.00 and 11.30° N latitude and 78.15°–79.45° E longitude. Cauvery Delta Zone includes the districts of Thanjavur, Thiruvarur, Nagapattinam, Mayiladuthurai, Perambalur and some parts of Pudhukottai and Cuddalore Districts. This zone plays a vital role not only in rice production but also in other varieties of...
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Abstract Systematic approaches to evidence synthesis can improve the rigour, transparency, and replicability of a traditional literature review. However, these systematic approaches are time and resource intensive. We evaluate the ability of OpenAI’s ChatGPT to undertake two initial stages of evidence syntheses (searching peer-reviewed literature and screening for relevance) and develop a novel collaborative framework to leverage the best of both human and AI intelligence. Using a scoping...