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https://www.selleckchem.com/products/pf-562271.html cian) and patient factors are needed to close this evidence-practice gap. This article is protected by copyright. All rights reserved.The COVID-19 pandemic has, of necessity, demanded the rapid incorporation of virtual technologies which, suddenly, have superseded the physical medical encounter. These imperatives have been implemented in advance of evaluation, with unclear risks to patient care and the nature of medical practice that might be justifiable in the context of a pandemic but cannot be extrapolated as a new standard of care. Models of care fit for purpose in a pandemic should not be generalized to reconfigure medical care as virtual by default, and personal by exception at the conclusion of the emergency.This research investigates the dynamic interactive associations among sustainable investment in the energy sector, air pollution, and sustainable development. To this end, it employs a "one-step" system-generalized method of moments (GMM) and "one-step" differential-GMM estimators, covering the period between 1996 and 2017. In this context, it utilizes the simultaneous equations of the dynamic panel data model for panel data of 27 Chinese provinces and municipalities. We have developed a new model of sustainable development, which incorporates sustainable investment in the energy sector and air pollution to offer a robust theoretical foundation for considering the underlying relations. The system-GMM estimator is used for the full data set; however, differential-GMM is utilized for the subsets of data, in order to tackle the small sample bias problem. The empirical outcomes provide several vital insights in that they yield mixed findings for the aggregated sample and subsets of data. For example, a two-way causal relationship occurs for all the panels, except the central part (medium development regions), between sustainable investment in the energy sector and sustainable development. Contrary to this, c

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