Sentence examples for characterizing cause from inspiring English sources

Exact(1)

A direct approach to characterizing cause of death, which could be used during surveillance or outbreak investigations, are post-mortem exams; this approach focuses on patients who actually die and could provide specimens obtained by invasive methods for diagnosing etiology of deaths, particularly those caused by infections.

Similar(59)

Its lengthy title, "Cotton Puffs, Q-Tips, Smoke and Mirrors: The Drawings of Ed Ruscha" comes from the artist's interview in the catalog, in which, speaking with Ms. Rowell, he jokingly characterizes cause and effect: two of his favorite drawing tools and the magical effects they work.

In addition to the intracellular responses, chronic ER stress can also, by mechanisms that remain poorly characterized, cause inflammation within affected tissues.

The PEPD mutations that have been functionally characterized cause depolarizing shifts in voltage-dependence of steady-state inactivation and cause incomplete inactivation of Nav 1.7, leading to prolonged persistent currents.

The possible acceptability of this procedure during outbreaks represents an important opportunity to better characterize cause of death in Bangladesh which could lead to improved public health interventions to prevent these deaths.

This lack of adequate information about the decedent's disease history produces a more narrowly characterized cause of death, increasing the likelihood of important omissions and eventually impacting disease statistics [ 31].

Infertile male dogs represent tough economical losses for breeders, thus a reliable and accurate diagnostic tool to fully characterize causes and features of these pathologies is highly requested in this environment.

However, since IF/TA is a nonspecific lesion that can be related with different immune and nonimmune injuries to the graft, during the last years a big effort has been done to characterize causes of late graft failure.

This model is integrated with a Bayesian belief network characterizing the cause-effect relationships among factors influencing the repairman error probability during maintenance.

The fundamental assumptions of statistical mechanics imply that this independence will hold in a large class of cases given a judicious choice of quantities characterizing the causes and effects.

In this study we tested our next generation sequencing (NGS) platforms for the purposes of rapidly and accurately sequencing and characterizing disease causing microorganisms.

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