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This field study examines whether and how supervisors' subjective adjustments to objective performance measures are influenced by their prior subjective evaluations of employees.
Although variations of these physiological measures are influenced by strain/race and diet ingredients [81], they are believed to be predictive of heart disease and atherosclerosis in the obese and diabetic populations [5], [18], [82].
Additional work is necessary to explore how these measures are influenced by data from populations with differing demographic histories, particularly those that experienced recent decline followed by a rapid recovery.
Because experimental data yield networks whose topologies do not necessarily agree with the frequently discussed archetypical networks (e.g., lattices, small-world with a certain rewiring probability, or fully random networks), it remains tricky to estimate how graph measures are influenced by changes in N and k for the empirical network.
Additionally, self-reported measures are influenced by psychological factors.
Often the decisions to control a disease using drastic measures are influenced by cultural and community context.
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Anthropometric measures were influenced by household and community variation in the mixed-effects, multi-level regression models.
This study aimed to examine which brain oscillatory activities and peripheral physiological measures were influenced by attention levels.
Dropping any one of these reading-related measures from the multi-variate model significantly reduced the linkage at DYX6, thereby implying that all measures were influenced by the underlying QTL.
We found that none of the echocardiographic measures were influenced by the pig's sex.
Both measures were influenced by the addition of exogenous BH4 to the reaction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com