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Our future research concern goes to the detection of the ME potentials on insulin signaling cascade in muscle, liver, and adipose tissue, and the effects on blood lipid profile (e.g., total cholesterol, LDL-cholesterol, HDL-cholesterol, triglyceride, and free fatty acids), along with the assessment of the cardiovascular effects of ME.
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Thus, future research concerning the reconstruction time and speed of different IR algorithms is recommended.
Implications and future research concerning university brand image and core value accountability are discussed.
Finally, we outline present challenges and future research concerning Heart-on-a-chip based on stem cell biology.
Furthermore, future research concerning network capabilities and network structure would deepen the understanding of sustained competitive advantage in the digital economy (e.g. Wang and Rajagopalan 2015; Mitręga et al. 2011; McEvily and Zaheer 1999).
In addition to the results and findings presented so far, in the following we add some further thoughts on the requirements for future research concerning the benefits of and challenges to resilience and vulnerability for disaster risk management.
We suggest directions for future research concerning GSS-supported focus groups with respect to technological implications (typing skills and connection speeds), national culture (high and low context; power distance), and lying behavior (adaptation of model of Hancock, J. T., Thom-Santelli, J., & Ritchie, T. (2004).
A second area for future research concerns the operational definition of the term 'high risk'.
This network provides potentially valuable avenues for future research concerning the novel functions of ECPsp.
Another interesting direction of future research concerns the combination of heterogeneous data, in particular of arrayCGH and gene expression data.
This knowledge can be employed to guide future research concerning the biological role of miRNA (dys-) regulations.
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