Sentence examples for by very low values from inspiring English sources

In the analysis we have done, we noted that sporadically Swarm data were characterized by very low values of electron density, even lower than 2 × 104 cm−3.

The ionospheric trough, characterized by very low values of N e, is so well detected under disturbed conditions by Swarm satellites because, as shown by Krankowski et al. (2009), it significantly depends on the geomagnetic activity.

The trend towards an improvement in Tam alone reaches statistical significance in a small area defined by very low values of ut and high values of ur.

Only one patient (ID = 6794) displayed a different trend as he was characterized by very low values of LF and LF% at baseline, but after 3 months LF and LF% reached similar values to the other patients.

Note that, in the fits of the data from the cca1/lhy mutant plants for the early and the normal night, we did not consider the two data points closest in time to 24 hr from the datasets, as they are characterized by very low values of starch content and, therefore, are likely to be affected by higher relative errors compared to the other data points.

Active ranges of proposed MAA based models exhibited high potency amalgamated with safety as indicated by very low value of EC50 and high value of Selectivity Index.

It also shows that by using segmented auto co-variance method, even by using very low values for K P, we can achieve to high prediction accuracy since it is able to explore adequate local sequence order information (also emphasis on the impact of segmented distribution method).

An interesting feature showed by Swarm measurements during the analyzed periods is represented by the very low values of N e, for the evening sector, as it is displayed in Fig. 16.

Each lineage, though including birds from distant geographic areas, showed low internal genetic variability as revealed by the very low values (range: 0.1-0.2 %; Table  1) observed for the mean intra-group genetic distances.

Population density by ansector varied from very low values, less than 1/1,000 km−2 in parts of the arctic north, through 13 km−2 as a median value and reaching 406 km−2 in ansector R5, which includes southern India and Sri Lanka.

Optimisation of the existing ANN is analysed: (i) by training the ANN also on very low values of the overtopping discharge: (ii) by the set-up of an architecture consisting of a classifier-quantifier scheme; (iii) through the modification of the weight factors included in the boot-strapping resampling technique.