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Abstract Background Evidence synthesis organisations worldwide are trying to meet commissioners’ need for rapid responses to their evidence synthesis commissions. In this project we piloted an intensive process, working to complete an evidence synthesis within six-weeks, rather than the standard lead time of 4-6 months. There were three objectives: 1) To develop a plan for and conduct an evidence synthesis in six weeks or less (“intensive pilot”) 2) To register time used for the intensive...
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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...
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An output of the Open Development & Education, https://opendeved.net/
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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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Energy studies of buildings are becoming more widespread as stakeholders strive to improve energy efficiency and reduce carbon emissions. As a result, there is an increased need for novel numerical techniques to automatically calibrate building energy models (BEMs) for these energy studies. In this paper, a new automated building calibration methodology was developed, which uses a surrogate (i.e., meta) multilayer perceptron artificial neural network (ANN) to infer unknown building...
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An output of the Open Development & Education, https://opendeved.net/
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Pico board for data-logging with power-management and micro-sd storage
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Pico board for data-logging with power-management and micro-sd storage
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Anthropogenic climate change is a serious global environmental issue that threatens food and water security, energy production, and human health and wellbeing, ultimately jeopardizing the attainment of the UN Sustainable Development Goals (SDGs). A good understanding of climate change is essential for societies to adapt to or mitigate it. Yet, studies reveal that most people have limited knowledge, misconceptions and misunderstanding about climate change. Sub-Saharan Africa is projected to...
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This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. This paper aims to search for the optimum school building design...
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Although research on the natural ventilation of single-sided buildings is progressing, research on the natural ventilation of the Mogao Grottoes, which have special shapes and structures, is relatively limited. The purpose of this paper is to develop a correlation for calculating the natural ventilation rates of such grottoes. Field experiments were carried out on two typical caves to measure their meteorological parameters and natural ventilation rates to verify the validity of the proposed...
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Despite the critical need for urban planners to address climate change, there is a limited understanding of planning professionals’ perceptions of their climate change competency. This paper reports results from a survey of Australian urban planning professionals, identifying their perceived climate change knowledge, skills, competencies, and everyday practice. The urban planning professionals surveyed had high levels of perceived climate change knowledge, but only a small number incorporate...
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Despite the critical need for urban planners to address climate change, there is a limited understanding of planning professionals’ perceptions of their climate change competency. This paper reports results from a survey of Australian urban planning professionals, identifying their perceived climate change knowledge, skills, competencies, and everyday practice. The urban planning professionals surveyed had high levels of perceived climate change knowledge, but only a small number incorporate...
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This paper investigates the use of dilated causal convolutional neural networks for fine-grained temporal forecasting of building zone states. Specifically, we build and evaluate models using a small set of exogenous features (e.g., external temperature) to autoregressively predict zone airflow setpoints every minute for a 24-h prediction window. We carefully explore the trade-off between generality and specificity in these models, training and evaluating them based on zone, zone type,...
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