Sentence examples for identifying near from inspiring English sources

Other limitations are related to the disease-specified methods which we used in identifying near miss cases.

Among the more severe cases, maternal near miss and maternal death (MNM and MD), the most widely used criteria for complicated EP were clinical (16 MNM cases) and management (15 MNM cases), when applying the WHO criteria for identifying near miss events.

We present the results of our investigation into the use of genetic algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on artificial neural networks (ANNs) for condition monitoring of mechanical systems.

Pretreatment temperature, time, sulfuric acid loading, sodium bisulfite loading and impregnation time were varied using factorial treatment design experiments for identifying near optimal overall wood glucan-to-glucose yields during acid bisulfite pretreatments.

But awareness is just the first stage of grappling with the challenge, said Rusty Schweickart, the Apollo 9 astronaut who heads a foundation advocating more research on identifying near-Earth objects and developing unmanned spacecraft that could nudge them off track like a tugboat.

Although current computational docking protocols are able to generate near-native solutions in a reasonable time, the problem of identifying near-native conformations from a pool of solutions remains very challenging.

Our approach makes the following contributions: (i) we propose a novel Pareto-based scheduler for identifying near-optimal resource allocations for user workloads with respect to performance and monetary cost, and (ii) we develop an automatic configuration of basic tasks' parameters that allows us to further minimize the user's spending budget and the jobs' execution times.

Essentially, three different methods have been used for identifying near-miss cases.

Organ system-based criteria, on the other hand, are regarded as the most specific means of identifying near-misses.

A cross sectional study of severe maternal morbidity was carried out using the WHO form for identifying near-miss cases (Individual Form HRP A65661- Additional file 1) as in the multicountry survey on maternal and newborn health [ 6].

Also shown are a schematic of the ligamer pool, with each ligamer targeting a different variant exon, the six ligamers containing having different codes in pool 1 and pool 2, and a workflow for identifying near-cognate ligation and template-switching events.