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The correlation matrix of bacteria count in spices demonstrates no interrelationships between pathogenic bacteria study.
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The results of the correlation matrix from the present is in contrast to the result established by Bakobie et al. (2017) who found no interrelationship between the various bacteria identified in their study in Tamale.
There was no interrelationship between PCT levels and BL markers of renal or liver functions (P > 0.05 for all comparisons).
The occurrence of oral and abomasal lesions showed no interrelationship and no association with age, gender, feeding history or composition of rumen or abomasal content.
In a previous systematic review, five studies, undertaken in largely non-biologic populations, supported SE and only one demonstrated no interrelationship between SE and fatigue [ 6].
There is no data describing potential interrelationships between the kinetics of these antibiotics and the physiological changes that occur in patients that have sepsis or significant traumatic injuries.
Furthermore, no studies examining the interrelationships between anterior and posterior structure degeneration have used multivariate analyses to adjust for important demographic and anthropometric factors thought to be related to spinal degeneration.
In spite of the prevalence of independent relationships existing among food, clothing, and stress, no known research has examined the interrelationships of food, clothing, and stress as it impacts Chinese female university students.
These factors have also been frequently discussed in the literature, however there has been no clear consensus either to their interrelationships or to the relative importance of each [ 1].
There was no statistically significant interrelationship of PCT levels and markers of renal or liver functions (P < 0.05 for all comparisons) (Table 2).
The lack of unambiguous shared derived (synapomorphic) gene rearrangements among Arthropoda, Tardigrada, Onychophora, and Priapulida means that no resolution can be achieved for their interrelationships using mitochondrial gene order data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com