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This hypothesis-generating research adds to the growing body of evidence that forests and forest-based ecosystems are associated with diet quality and nutrition and provides support for future studies that examine mechanisms linking forest loss and human nutrition.
These data provide support for future studies aimed to clarify the underlying molecular mechanisms.
The results presented in this study can be considered as valuable support for future studies on the complex networks involved in tRF-mediated gene regulation in plants.
These results provide support for future studies to identify surface chemistry parameters to achieve the optimal control over stem-cell osteogenic differentiation.
The results presented in this work can be considered as a valuable support for future studies on the complex networks involved in miRNA-mediated gene regulation in plants.
The strictly regulated expression patterns of miR-1290 during proliferation and differentiation stages, its expression exclusive to higher species and its interaction with key cell cycle proteins offer strong support for future studies further defining its role in the neuronal fate specification.
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The approach serves as a decision support tool for future studies in urban transport informatics and design of new types of urban mobility systems like carsharing, ridesharing, and smart taxis.
These mass spectrometry data therefore support the rationale for future studies investigating functional consequences of viral protein SUMOylation.
Taken together, these data establish the kinetics and mechanisms of chitosan degradation and support the need for future studies evaluating the degradation of chitosan/carbon scaffolds in vivo.
The simulations were used to support dose selection for future studies and also to compare the efficacy of TAK-875 with currently approved pharmacological T2DM therapies.
The limitations of this research support the need for future studies to adhere to guidelines concerning the design, conduct, analysis, and reporting of studies designed to assess the effects of adherence-enhancing interventions [ 67, 68].
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