Sentence examples for space adaptation from inspiring English sources

Q. Did you have the problems with nausea that many first-time astronauts experience? A. I was very fortunate and did not feel any inkling of any kind of "space adaptation syndrome (S.A.S .." When we reached orbit and zero gravity on STS-117, I was ready to go to work and kept asking when it was time to eat! Q.

In "Treasure Planet," an outer space adaptation of the children's classic "Treasure Island," Mr. Pierce plays Dr. Doppler, a vaguely canine creature and potential father figure who accompanies the young hero Jim Hawkins Josephh Gondon-Levitt) on an interplanetary quest for buried pirate booty.

An architecture for unsupervised estimation of user-specific feature space adaptation and normalization algorithms is also described and evaluated.

This paper proposes a method of lines solution procedure with time and space adaptation for one-dimensional systems of partial differential equations whose solutions display steep moving fronts.

We exploit asymptotic structure in a set of well established pattern formation problems to analyze a singular limit model that avoids time and space adaptation typically associated to full numerical simulations of the same problems.

Space adaptation and integration deserve key attention to enable the recovery of nitrogen for the production of nutritional food in space, but also in closed loop systems on earth.

The top-performing systems introduced in the previous section accomplish their current level of performance by repeatedly processing the input data by several enhancement algorithms and performing multiple passes of feature-/model-space adaptation.

However, all the recognition approaches employed in the challenge, i.e., robust features, acoustic modeling scheme, feature/model-space adaptation, advanced decoding, are not the ones designed specifically for reverberation robustness, but rather for general robustness purposes.

Note that a common characteristic of the systems that achieved the lowest WERs is that their performance was achieved not as the result of a single standout algorithm but through the careful combination of multichannel front-end processing, strong acoustic modeling, and feature-/model-space adaptation.

It has been shown [16] that SGMMs behave more compact and perform better than the conventional GMMs approach, as well, without the loss of compatibility to most standard techniques such as feature-space adaptation using maximum likelihood linear regression (fMLLR) [53], discriminative training like boosted maximum mutual information (bMMI) [54], or the minimum Bayes risk (MBR) approach [55].

While naturally occurring gradients are likely to produce new adaptations that are predictable in geographic and phenotypic spaces, adaptations to human-modified ecosystems appear much less predictable, because of more abrupt ecological variation and their network-like spatial organization over distribution ranges.