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Adequately describing and justifying a study design with regard to sample selection and sample size is imperative in understanding both the aim of the study and the overall results.
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The Centers for Disease Control and Prevention and the Agency for Healthcare Research and Quality consider the surveillance of mental and physical health to be imperative in understanding health-related quality of life (HRQOL) and its impact on increasing the quality and years of healthy life, eliminating health disparities, and predicting future medical health care costs [ 1, 2].
Mutations are hallmark of cancers and identification of the mutations is imperative in our understanding of the disease.
As RNAi has become a standard experimental tool in biological research, understanding their biogenesis is imperative in order to better understand the mechanism of gene silencing trigger by miRNAs and siRNAs [ 7].
This is imperative in order to gain an understanding of the impact of the illness experience on the patient's daily life so as to be able to provide patient-centred care related to the disease.
In areas of high U concentrations, understanding U chemistry is imperative in order to predict its fate, transport, and risk.
Thorough understanding of structure and function is imperative in the design of therapeutic drugs.
Understanding the motivation behind why patients seek care from UCCs is imperative in order to attempt to shift a portion of this population back to conventional primary care.
Understanding the molecular impact of these stressors on different coral species is imperative in order to predict how coral populations will respond to this continued disturbance.
Understanding functional relations among plant traits and their modulation by growing conditions is imperative in designing selection strategies for breeding programs.
Finally, research aiming to improve our understanding of the link between chemicals and negative health impacts is imperative in order to prioritize actions and assess their effectiveness.
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