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Global, regional, and national burden of household air pollution, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Published 2025“…FindingsIn 2021, 2·67 billion (95% uncertainty interval [UI] 2·63–2·71) people, 33·8% (95% UI 33·2–34·3) of the global population, were exposed to HAP from all sources at a mean concentration of 84·2 μg/m3. Although these figures show a notable reduction in the percentage of the global population exposed in 1990 (56·7%, 56·4–57·1), in absolute terms, there has been only a decline of 0·35 billion (10%) from the 3·02 billion people exposed to HAP in 1990. …”
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Mechanical and microstructure characterization of hard nanostructured N-bearing thin coating
Published 2015“…The main problem with steel, is that it exhibits a relatively low hardness (below 10GPa) which strongly decreases upon annealing above about 600K. …”
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425
A Facile Synthesis of Poly(aniline-co-3-trifluoromethyl aniline) Doped Silver Nanoparticles in Micellar Solution: Its Humidity Sensor Application
Published 2018“…It was observed from the fabricated sensors that the resistance decreases from 400 to 230 MΩ when the relative humidity (% RH) changes from 17 to 47%.…”
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Global, regional, and national burden of upper respiratory infections and otitis media, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021
Published 2024“…Globally, the incidence rate of URIs was 162 484·8 per 100 000 population (144 834·0 to 183 289·4) in 2021, a decrease of 10·5% (–12·4 to –8·4) from 1990, when the incidence rate was 181 552·5 per 100 000 population (160 827·4 to 206 214·7). …”
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An Improved Fault Tolerant Five-Phase Induction Machine Using A Combined Star/Pentagon Single Layer Stator Winding Connection
Published 2015“…In this paper, a new combined star/pentagon single layer winding layout that combines the advantages of both star and pentagon connections is proposed for a five-phase induction machine. …”
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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
Published 2019“…Performance of each DNN is validated through a 10-fold cross-validation process and evaluated using various metrics. …”
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RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
Published 2019“…Performance of each DNN is validated through a 10-fold cross-validation process and evaluated using various metrics. …”
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