Sentence examples for most significant gaps from inspiring English sources

The lack of an effective licensed vaccine remains one of the most significant gaps in the portfolio of tools being developed to eliminate Plasmodium falciparum malaria.

One of the most significant gaps in public health information is the limited availability and poor quality of data on mortality patterns, trends and causes.

One of the most significant gaps in the draft C. beijerinckii network prevented model-simulated production of oxoglutarate, a major component of central metabolism; this gap stemmed from missing genetic evidence for enzymatic reactions need to complete the TCA cycle.

Although there are other clades with low support in the tree, we will focus on these boxed regions because they represent the most significant gaps in our knowledge about the red algal tree of life.

In 2014, estimated UHC deficits amount to 10.3 million health workers globally, with the most significant gaps in highly populated countries of Asia (7.1 million health workers) and many countries of Africa (2.8 million health workers).

As for the distribution of value added as capital and labor payments, it can be observed that the most significant gap is the one between labor compensation paid on the USA and the compensations paid in Mexico, as a proportion of the total value of trade in NAFTA.

The most significant gap is to distinguish the value decisions facing parents and providers in low- middle-, and high-income settings without conflating distinct cultural and socioeconomic contexts.

Under the assumption that the gap statistic follows a standard normal distribution, approximate p-values for all three analyses were nominally significant (p < 0.05), with the blood and dura analysis resulting in the most significant gap statistics (p < 1×10-10).

The Blood-Cranial analysis resulted in the most significant gap statistic (p = 2.0×10-5) ofthef the integrative clustering analyses, followed by the Dura-Cranial (p = 7.4×10-5) and Blood-Dura-Cranial analysis (p = 3.6×10-4).

The results generated from the blood and dura whole genome expression individual sparse k-means clustering analyses resulted in the most significant gap statistics (p < 1×10-10) are are further described below.

For the blood clustering analysis (Table  5), which also resulted in the most significant gap statistic, enrichment for five biological pathways was detected including the ribosome, spliceosome, proteasome, RNA degradation, and oxidative phosphorylation pathways.