Sentence examples for draw relations from inspiring English sources

Exact(2)

The patterns of the phenotypic associations were informative to draw relations between plasma lipid levels with bone mineral density and a cluster of common traits (Obesity, hypertension, insulin resistance) related to Metabolic Syndrome (MS).

The patterns of phenotypic associations were visualized with connected graphs which were informative to draw relations between plasma lipid levels with BMD and a cluster of common traits (Obesity, hypertension, insulin resistance) related to MS. These putative patterns of the phenotypic associations were in concordance with the fact that MS increases T2D and CVD [ 20].

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One psychologist asked children in blended families of once-divorced parents and stepchildren to draw their relations.

First, our study used a cross-sectional design, making it impossible to draw causal relations among study variables.

Firstly, due to the nature of cross-sectional study, we were unable to draw causal relations among study variables.

Firstly, the cross-sectional design of our study may make it impossible to draw causal relations among study variables.

He refuses to be drawn on relations between Downing Street and leave campaigners in his party, or comment on the leadership prospects of Cameron's potential successors.

Peter and Flock equation was used to draw a relation between oil recovery and finger characteristics, where the increase in capillary numbers leads to a decrease in both instability scaling index and incremental oil recovery.

Based on the research results of domestic and foreign experts, the article uses fitting induction to draw the relation curve of speed and density of the passenger flow at the collecting-distributing areas and upward stairs of Beijing Subway Line 1, and produces the suitable mathematic model by regression.

Until recently, Turkey and Syria were also at scimitars' drawn, but relations have greatly improved.

To enable the categorization of individuals by taking into account the seasonal variation, we estimated coefficients according to the month of blood draw in relation to the estimate in November, which was the month that most closely approximated the overall individual annual mean.

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