Sentence examples for possible interrelationships with from inspiring English sources

Exact(1)

It seems difficult to identify environmental factors that possibly increase the annual prevalence of CADM and anti-MDA-5-positive patients, because patients could have several environmental exposures that have possible interrelationships with genetic risk factors.

Similar(59)

This study was undertaken to examine the possible interrelationships between bone mass, enthesophytes, and osteophytes in a population of individuals with extreme HBM.

Investigations of the possible interrelationships between clusters of different perciform families continue.

On average, in a normal emotional state, the neocortex can process a factorial of four variables, which is 24 possible interrelationships.

The conference was devoted to identifying, discussing and understanding possible interrelationships of theoretical disciplinary improvements, recognized as having prospective fundamental roles for a new post-Bertalanffy Systemics.

Zboray gives a concise review of the regional styles and the attribution of chronologies and possible interrelationships.

The complexity of the possible interrelationships between biotic and hydrothermal processes at an iron oxyhydroxide chimney is illustrated in Fig. 8.

The specific purpose was to investigate the possible interrelationships of genotypes of Staphylococcus aureus found in mammary glands, horn flies, and extramammary sites on 3 southeastern US dairies.

Possible interrelationships between this proteomic change and the phenotypic changes observed in the ST plants are discussed below in the context of detailed physiological and biochemical characterization.

Exploratory factor analysis is recommended during the development of questionnaires as it explores all possible interrelationships between the set of observed variables without postulating a theoretical structure.

We, therefore, cannot discount a possible interrelationship between the IRF4 SNPs with sun sensitivity and NHL risk given our relatively small sample size to evaluate joint effects.

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