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In this chapter, some best practices for addressing scale-up issues are discussed.
Design patterns are best practices for addressing recurring design problems in object-oriented source code.
This paper will discuss the significance of these preclinical issues, and present examples of current methods and best practices for addressing them.
Wider implementation of known effective clinical practices for addressing SU conditions requires creative strategies to develop a workforce that sees the management of SU conditions as part of its overall mission, is knowledgeable about state-of-the-art approaches to patient management, and is motivated to implement such practices in a range of clinical settings [ 9, 38, 46, 47].
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Housing-led interventions have become recognized as a best practice for addressing homelessness among adults, yet whether and how they apply to transition-age youth (TAY) is less clear.
Scientific knowledge and evidence played an important role in the innovation process, providing insight into the causes of problems, suggesting strategies in the form of evidence-based practices or practice guidelines for addressing the problem, and legitimizing recommendations for specific practice changes.
It has helped to raise the awareness of a generation of researchers to what qualitative psychology can contribute, and it has enriched the repertoire of methodological practices available for addressing important issues in health.
Additional research must further focus on best practice models for addressing the above described gaps in local public health response to this urgent public health threat.
Therefore, a multidisciplinary management strategy incorporating pharmacological (usual medical care), physiological (exercise program) and psychological (brief psychosexual self-management) interventions may represent a best-practice model for addressing sexual dysfunction secondary to prostate cancer treatment [ 27].
As a result, medical tourism from Mongolia has a considerable impact on the Mongolian economy and health system, creating a need to better understand the scope of this practice and practical steps for addressing demand for it.
Peer-review requirements for scientific journals and data acceptance requirements for regulatory programs both acknowledge that a rigorous evaluation of data quality is essential, yet the practices and procedures for addressing it differ across the spectrum of bodies that deal with scientific data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com