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Coupled multi-phase hydro-mechanical numerical modeling,TOUGH2, TOUGH2-seed,
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TOUGH2, FLAC3D
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Tough2 Flac3D
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This paper studies stochastic convergence of per capita CO2 emissions in 28 OECD countries for the 1901–2009 period. The analysis is carried out at two aggregation levels: first for the whole set of countries (joint analysis) and then separately for developed and developing states (group analysis). A powerful time series methodology - adapted to a nonlinear framework that allows for quadratic trends with possibly smooth transition between regimes - is applied. This approach provides more robust conclusions in convergence path analysis, enabling (a) robust detection of the presence, and if so, the number of changes in the level and/or slope of the trend of the series; (b) inferences on stationarity of relative per capita CO2 emissions, conditionally on the presence of breaks and smooth transitions between regimes; and (c) estimation of change locations in the convergence paths. Finally, as stochastic convergence is attained when both stationarity around a trend and β-convergence simultaneously hold, the linear approach proposed by Tomljanovich and Vogelsang (2002) is extended in order to allow for more general, quadratic models. Overall, joint analysis finds some evidence of stochastic convergence in per capita CO2 emissions. Some dispersion in terms of β-convergence is detected by the group analysis, particularly among developed countries. This is in accordance with per capita GDP not being the sole determinant of convergence in emissions, with factors like search for more efficient technologies, fossil fuel substitution, innovation, and possibly industry outsourcing, also having a crucial role.
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Regional Ocean Modeling System (ROMS) + Biogeochemical Elemental Cycling (BEC) model
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Intracellular α-amylase was a special glycoside hydrolase in the cytoplasm. We cloned and expressed an intracellular α-amylase, Amy, from Paenibacillus sp. SSG-1. The recombinant enzyme was purified by metal-affinity chromatography, exhibited a molecular mass of 71.7 kDa. Amy exhibited unexpectedly sequence similarity and evolutionary relationships with alpha-glucanotransferase. The docked results of Amy with maltose showed it had similar catalytic residues with α-amylase and glucanotransferase. The substrate specificity experiment showed that Amy could hydrolyze typical substrates into glucose and maltose. It was noteworthy that Amy showed the catalytic capacity of cyclomaltodextrinase and pullulanase. Meanwhile, Amy could transfer sugar molecules and form maltotetraose upon the hydrolysis of substrates. These results indicated that Amy was a novel intracellular α-amylase with distinct catalytic ability characteristics of hydrolyzing glycogen/cyclodextrin/pullulan and transglycosylation. We deduced that Amy may play an important role in utilizing maltooligosaccharides that released from extracellular α-glucan or storage α-glucan (glycogen) in Paenibacillus sp. SSG-1.
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ANSYS Inc.; MATLAB
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