Sentence examples for much higher abilities from inspiring English sources

Cells (EPT2) were isolated from the foci and were found to have acquired several malignant features, such as anchorage independent growth, much higher abilities to proliferation at confluence, increased resistance to apoptosis and much lower dependence on external growth factors compared with EP156T and EPT1 cells.

However, in pot experiments, only one transformant, Rc4-4, exhibited a much higher ability to control soybean Sclerotinia stem rot.

It is shown that the structure of micro/nano-spongelike TiO2 provides not only better corrosion resistance and less oxygen vacancies, but also much higher ability of biomineralization after immersion in simulated body fluid (SBF) for 14 days.

The results concerning the induction of estrogenic biomarkers are in accordance with our findings for estrogen receptor binding of sample extracts from the Würm and sewage taken in parallel at the end of the experiment, when sewage extracts possessed a much higher ability to displace [3H]estradiol from the estrogen receptor than the ones extracted from the mixtures.

It is known that rodents, in general, have a much higher ability to metabolically dispose phytochemicals than do humans.

All these results indicated that the EPT1 cells had acquired much higher ability to migrate and invade during the transition to mesenchymal-like cells in comparison with EP156T cells.

In the present study, we demonstrated that a novel resorcinylic pyrazole/isoxazole amide class of HSP90AA1 inhibitor, AUY922, had a much higher ability to downregulate the KIT protein (Fig. 1) and to inhibit the growth of GIST cells (Fig. 2) as compared with 17-AAG.

With the exception of the beetle A. dolosus, species in our study have much higher dispersal abilities compared both to Tarphius beetles and Oxychilus land snails and we may speculate that they were more efficient in expanding their range within the Azores.

The NGr/MoS2 composite film shows much higher electrocatalytic ability for the reduction of I−/I3−, compared to the films of bare NGr and bare MoS2.

The results showed that the root mean square error and the standard error of prediction for the neural network model were much smaller than those for the response surface methodology model, indicting that the neural network model had a much higher modeling ability than the response surface methodology model.

The maximum hydrogen yield of 289.8 mL/g glucose identified by response surface methodology was a little lower than that of 360.5 mL/g glucose identified by the genetic algorithm based on a neural network model, indicating that the genetic algorithm based on a neural network model had a much higher optimizing ability than the response surface methodology.