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Given the existing research, the current study hypothesized autonomy would directly influence intentions to seek help for self-injury, but would also have an indirect effect on help-seeking via attitudes toward seeking help (Hypothesis 3).
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Their uses include the guidance of metabolic engineering, the contextualization of high-throughput data and helping hypothesis-driven discovery.
The visualization could help generate hypothesis from novel insights on the patterns of arsenic cytotoxicity as the cells mature and differentiate from basal cell to squamous cells.
When considering other causes of morbidity, mechanistic data may help with hypothesis generation and general population studies build the evidence base.
The underlying causes of suboptimal prescribing likely differ for each medication, and therefore must be understood anew, although previous studies can help generate hypotheses.
The goal of function prediction is to infer novel functions for genes to help prioritize hypothesis-driven experimentation.
Without a known prior association, population health monitoring could help generate hypotheses about candidate medication risk factors.
These results may help generate hypotheses for further study of environmental factors that vary by season.
Our study shows that combining rational design with experimental evolution can help evaluate hypotheses about evolutionary strategies.
Despite these limitations, observational studies remain important tools to help generate hypotheses and guide further study design.
Environmental factors with increasing temporal trends can help suggest hypotheses for drivers of autism that merit further investigation.
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