نتایج جستجو برای: bad data
تعداد نتایج: 2433455 فیلتر نتایج به سال:
Objectives: This study was done to explore the experiences of physicians in India about being the messengers of bad news and management of psychosocial burdens associated with such consultations. Methods: Narrative data was collected from 27 physicians working in four teaching hospitals, using a semi-structured interview schedule. Constant comparison analytic procedures were used to examine phy...
In this paper we define the formal and tempered Deligne cohomology groups, that are obtained by applying the Deligne complex functor to the complexes of formal differential forms and tempered currents respectively. We then prove the existence of a duality between them, a vanishing theorem for the former and a semipurity property for the latter. The motivation of these results comes from the stu...
Unfortunately, the vast majority (90%) of new anticancer agents designed in the laboratory never make it into routine clinical use. The hypothesis of this lecture is that many new agents fail in the clinic because the appropriate clinical trial(s) that could exploit the attributes of the new agent are not performed. An appreciation that both bench and clinical investigations are difficult endea...
Both the level and the sequence of investment returns will have a big impact on retirement outcomes. Poor returns during the early years of retirement are bad news. However, the particular withdrawal strategy used affects sequence risk, and an approach where withdrawals are variable and respond to portfolio performance can improve retirement outcomes. I’ll examine the evidence and then use my o...
Although giving bad news at work is a stressful experience, managers are often underprepared for this challenging task. As a solution, we introduce organizational bad news training that integrates (a) principles of delivering bad news from the context of health care (i.e., bad news delivery component), and (b) principles of organizational justice theory (i.e., fairness component). We argue that...
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