Sentence examples for need of observation from inspiring English sources

It has successfully federated some existing European assets: The NEODyS system, focussing on the precise orbit computation and impact predictions; the physical properties database as initially set up by the European Asteroid Research Network (EARN), and a priority list which lists NEOs in need of observation.

Other neonatal outcomes included congenital malformation, respiratory distress implying need of observation and/or medical treatment in neonatal care, antibiotic treatment, and feeding problems.

In all situations we assume that the contractor can choose a level of effort when carrying out the task and we would like the contractor to carry out the task efficiently without the need of close observation by the manager.

Rapid urine LAM test characteristics improved among HIV-infected people at risk of mortality and identified those in need of close observation.

The number of patients in each category of reasons for admittance to PICU were: Patient's own wish 3 (2.5%); Need of close observation from diagnostic or medical reasons 51 (43.2%); Reduction of stimuli 23 (19.5%); and Control of behaviour 40 (33.9%).

Four categories of reasons for admittance to PICU were noted (1: Patient's own wish, 2: Need of close observation from diagnostic or medical reasons, 3: Reduction of stimuli, or 4: Control of behaviour).

Inevitably, because deduction based on deterministic laws becomes problematic, as far as precipitation is concerned, the need for observation of precipitation becomes evident.

Other independent risk factors for non-cure were not having medical insurance, a low income, patient delay in health care seeking for TB symptoms >30 days, not taking drugs according to the guideline, and not seeing the need for observation of treatment.

Note that we did not evaluate about VTM and wQVTM because they need the information of observation view angle for gait recognition in advance and such an assumption does not suit the uncooperative setting.

However, outcome measures have major disadvantages: they usually have a low incidence or prevalence and therefore need long periods of observation; they are difficult to control because they are also influenced by lifestyle choices of patients, compliance and health status; and they are heavily confounded, for example by disease stage [ 9, 20, 29].

The high-dimensional predictor space needs lots of observations to be properly explored, especially because much of the search is for associations that one by one can be small.