Sentence examples for observations time from inspiring English sources
It is necessary to analyze data over long observations time periods of more than 10 years to encompass the entire eruptive activity types of Stromboli.
Thus a trip from i to j consists of a series of time-ordered observations (time, user, tower ID), where the first tower ID belongs to the set I and the last tower ID to the set J. The inter-observation time corresponding to each trip is then defined simply as the time between the first and last observation.
To calculate both C and PC, let x i be a column vector in which rows represent observations (time points) and i = LH,RH, LC,RC one possible electrode.
The networks generated using this approach are based on correlation of protein abundance over many different observations (time points in the cell culture data and patients in the clinical data).
The difference in success rate compared with what is reported before can be addressed by pointing out the young age of the children, the prospective character of the study with frequent and regular visits to the centre of pediatric surgery involved, and the difference in the duration of observations time compared with other reports.
Descriptive statistics will be used in the analysis of the quantitative data coming from the patient's web based files, team meetings observations, time registration results, patient's questionnaires, attendance and approval of educational meetings, registration of site visits and e-mail correspondence, and structured questionnaires for health care professionals.
Based on past observations time-varying velocities can be defined for different street segments within a street network.
To extend these observations, time-lapses of cells expressing pCIG- Insc and GFP-GPI (monitored through a single filter set, giving increased cell viability) were performed.
Second, we utilise all observations for each woman, including exact observation time and the observed state.
Compute inter-observation time distributions.
The observation time is [−T, T].
