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Published in 2024 at "Empirical Economics"
DOI: 10.1007/s00181-024-02649-1
Abstract: We identify the effectiveness of social distancing policies in reducing the transmission of the COVID-19 spread. We build a model that measures the relative frequency and geographic distribution of the virus growth rate and provides… read more here.
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Published in 2020 at "Geoderma"
DOI: 10.1016/j.geoderma.2020.114381
Abstract: Abstract The 4perMille Initiative aims to mitigate anthropogenic CO2 emissions through carbon sequestration in soil organic carbon (SOC). Its main objective is to increase the annual amount of C in soils of the world by… read more here.
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Published in 2024 at "Environmental Science & Technology"
DOI: 10.1021/acs.est.3c09815
Abstract: In new buildings, nonoccupant VOC emissions are initially high but typically decrease within months. Increased ventilation is commonly used to improve indoor air quality, assuming it speeds up VOC off-gassing from materials. However, previous research… read more here.
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Published in 2020 at "Journal of Infrastructure Systems"
DOI: 10.1061/(asce)is.1943-555x.0000569
Abstract: AbstractInfrastructure interdependencies have been widely recognized, especially in the postdisaster restoration process. It is essential to develop models to simulate interdependencies and quantif... read more here.
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Published in 2021 at "International Journal of Biomathematics"
DOI: 10.1142/s1793524521500042
Abstract: In this paper, a nonlinear population model for HIV-TB co-infection has been proposed. The model is incorporated with the effect of early and late initiation of HIV treatment in co-infectives alrea... read more here.
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Published in 2018 at "Urban Education"
DOI: 10.1177/0042085918789729
Abstract: Despite growing interest in culturally responsive pedagogy (CRP), little research has examined its effect on student performance. In this article, we place CRP in a sociohistorical context and docu... read more here.
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Published in 2022 at "Evaluation Review"
DOI: 10.1177/0193841x221118454
Abstract: Methods for estimating causal impact aim to either remove or reduce bias. This study estimates the degree of bias reduction obtained from regression adjustment and propensity score methods when only a weak set of predictors… read more here.
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Published in 2020 at "PeerJ"
DOI: 10.7717/peerj.9933
Abstract: In recent history, COVID-19 is one of the worst infectious disease outbreaks currently affecting humanity globally. Using real data on the COVID-19 outbreak from 22 January 2020 to 30 March 2020, we developed a mathematical… read more here.