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An output of the Open Development & Education, https://opendeved.net/
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Abstract With the accelerating growth of the academic corpus, doubling every 9 years, machine learning is a promising avenue to make systematic review manageable. Though several notable advancements have already been made, the incorporation of machine learning is less than optimal, still relying on a sequential, staged process designed to accommodate a purely human approach, exemplified by PRISMA. Here, we test a spiral, alternating or oscillating approach, where full-text...
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An output of the Open Development & Education, https://opendeved.net/
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An output of the Open Development & Education, https://opendeved.net/
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An output of the Open Development & Education, https://opendeved.net/
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An output of the Open Development & Education, https://opendeved.net/
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The dry Mediterranean climate (BShs) is the European region with the highest number of hours of sunshine per year. The high annual solar radiation makes sun shading devices necessary to comply with current energy efficiency standards. However, these standards do not sufficiently consider their effect on the indoor lighting comfort of buildings. The objective is to qualitatively and quantitatively determine how movable sun shading devices jointly influence the energy efficiency, thermal...
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An output of the Open Development & Education, https://opendeved.net/
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Automatic synthesis of RCTs
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South Sudan’s government is closing down all schools starting Monday as the country prepares for a wave of extreme heat expected to last two weeks.
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An output of the Open Development & Education, https://opendeved.net/
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In this paper, we present the first study that undertakes a comparison of human and Artificial Intelligence (AI) tools in a large-scale literature screening process as part of a large-scale meta-analysis in education research. We present this screening approach to AI-powered Literature Reviews (AILRs) at a large-scale, and then apply this approach to a screening of a public evidence library, containing several-hundred thousands of articles on research pertaining to SDG4 in low-income...
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Globally, more than a billion people have a disability. Most live in poverty and 80 percent live in low- and middle-income countries, which are more susceptible to climate disasters. Because of this, and sometimes because they are also members of other minorities, disabled people are much more likely to experience the worst impacts of climate change. People with disabilities are two to four times more likely to be hurt or die in climate-related disasters such as heatwaves, wildfires and...
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An output of the Open Development & Education, https://opendeved.net/
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