Showing 1 - 20 results of 206 for search '(( decrease rate decrease predictions based ) OR ( decrease toc decrease decrease after ))*', query time: 1.06s Refine Results
2
... predictions for the period 2011 to 2030. This is an epidemiological, demographic-based study that utilized...
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Article
3
Published 2017
...O Transtorno Obsessivo-Compulsivo (TOC) consiste em uma doença crônica caracterizada pela presença...
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Master thesis
5
Published 2022
... pollution in the Chinese female population, from 1990 to 2019, and make predictions for the next decade...
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Article
6
Published 2022
... pollution in the Chinese female population, from 1990 to 2019, and make predictions for the next decade...
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Article
8
Published 2014
... 2010. The predictions were made for the period 2011-2025 utilizing the Nordpred program based on the...
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Article
9
Published 2014
... 2010. The predictions were made for the period 2011-2025 utilizing the Nordpred program based on the...
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Article
11
...This work presents a scale-space based approach to assist dynamic resource provisioning. The...
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Master thesis
12
Published 2014
... 2010. The predictions were made for the period 2011-2025 utilizing the Nordpred program based on the...
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Article
14
Published 2020
...), and the long-term effect of continuous N rates on C and N distribution in soil profile is still...
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Doctoral thesis
15
Published 2021
... of predictions in a time interval. And a fixed defect prediction rate means to constraint the model to maintain...
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Master thesis
17
Published 2009
... improvement in total organic carbon (TOC) degradation was observed even when low catalyst concentrations were...
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Article
18
Published 2015
...O Transtorno Obsessivo Compulsivo (TOC) afeta de 2% a 4% da população pediátrica. Entre os fatores...
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Master thesis
19
Published 2018
... using traditional farming systems caused a 30% decrease in soil TOC stocks. Moreover, the alternative...
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Article
20
Published 2016
... to a decrease in TOC, OOC and ON contents throughout monitoring, regardless of disposal method, however, most...
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