Sentence examples for condition text from inspiring English sources

Linearity condition (text {E}(mathbf X |mathbf P _{mathcal {S}} mathbf X )) is a linear function of (mathbf X.) Constant variance-covariance matrix condition (text {Var}(mathbf X |mathbf P _{mathcal {S}} mathbf X )) is a non-random matrix.

Constant variance-covariance matrix condition (text {Var}(mathbf X |mathbf P _{mathcal {S}} mathbf X )) is a non-random matrix.

It shows that the condition (text {dim}(mathcal {S}_{K})=K) can be relaxed for certain signal constellation structures.

[m] Height of lacustrine deposits (if any) Lake life time text Life time of the dam (hours, days, mounths, years, centuries) Lake Condition text Lake Condition Landslide dams database structure.

For SRPreCondition specification, the condition text can be either positive ("VM == off") or negative (e.g. "service ! = updating"), where specific data formats and symbols can be involved (e.g. "instance count restriction < = 100").

Altitude of the spill way (above sea level) d condition text Dam Condition Evolution text Evolution of the landslide dam Type of Failure text Dam failure mechanism (if any) Stream Main Basin text Name of the main basin Dammed R. text Name of the dammed river Wvalley [m] Valley Width Subt.

Eighty-one fifth-grade students were randomly assigned to the following three conditions: texts with pictures embedded in the mobile device (TP condition); texts embedded in the mobile device and real objects that are outside of the mobile device (TO condition); and texts with pictures embedded in the mobile device and real objects that are outside of the mobile device (TPO condition).

This comes in contrast with the terminal conditions (text {FVA}_{bar {tau }}=text {MVA}_{bar {tau }}=0,) which hold by our assumption that the residual funding capital is used for absorbing the exceptional loss of the bank at time τ.

We first determined 'optimal' sets of comparative alignments by maximizing the number of known ncRNAs, serving as positive controls, recovered by different prediction conditions (Text S1).

We examined these two approaches and found that, because of the consistency between fire-climate relationships estimated for observed and simulated current climate conditions (Text S3, Figure S3), the first of these approaches would provide equivalent information to the second, while retaining the spatial correlation inherent to the physical model that generated the simulations.

In other conditions, texting has been used to provide appointment reminders,[ 39, 40] help aid tobacco cessation, [ 26, 41, 42] improve physical activity and stimulate weight management efforts, [ 43- 45] and improve diabetic control [ 46- 49] among countless other applications.