Sentence examples for models also found from inspiring English sources
But my models also found that, beneath all of the hype and buzz, there are a handful of Chinese stocks that appear to be on strong fundamental footing.
In contrast, these models also found a trend toward greater all-cause mortality (OR: 1.61; 95% CI: 0.97 to 2.68; p = 0.066) and greater overall adverse events requiring drug discontinuation with amiodarone versus dronedarone (OR: 1.81; 95% CI: 1.33 to 2.46; p < 0.001).
The application of other statistical models also found significant or marginally significant independent benefit arising from the increases in HDL-C.
Our previous study involving animal models also found that exogenous osteocalcin was not related to endothelium-dependent relaxation in mice fed with chow diet, which is in agreement with the present study's finding of metabolically healthy human to some extent [ 26].
Pre-clinical studies in animal models also find clear cardioprotective phenotypes in animals that exercise, specifically characterized by lower myocardial infarction and arrhythmia.
Model simulation also found out that the optimal phosphate concentration was approximately 10.3 mM for 100 mM sucrose, which was validated by experimental data.
Combined Avrami and Ozawa analysis (Liu model) also found useful.
The modelling also found Australia could meet tougher greenhouse gas emission targets of 35% without much extra economic pain – with a 35% cut by 2030 increasing the cost to GDP in that year by 0.3%to0.5%5% of GDP.
The RepuTex modelling also found the economics of the national electricity market no longer supported traditional baseload generation – such as coal power plants that were unable to respond flexibly to demand – and so they would not be built without the government distorting the market.
Our model also found that the requirement of >4 l/min and chemotherapy was a determinate in progression to ALI, similar to previously published work by Levitt et al. [30].
The MNL model also found that the adaptation measures taken by the households are influenced by some predictor variables such as gender of the household head, age, access to extension services, agro-ecological location, farm size, family size and perception on temperature.
