There is a number of theories concerned with factors predicting successful implementation in various settings, however, this issue is insufficiently studied in primary health care (PHC).
In this paper, we show how the ideas of interpolation and extrapolation, which are of crucial importance in many numerical domains, can be applied in symbolic settings to alleviate this issue in the case of propositional categorization rules.
Although numerous reviews have addressed the use of recruitment maneuvers to optimize ventilator settings in ALI/ARDS, this issue remains controversial.
Unlike in institutionalized settings, the issue of physical restraint use by family caregivers in home care settings might be too sensitive for a direct survey of the prevalence of family caregivers' use, at least in Japan.
Other humanitarian crises, particularly natural disasters, involve many of the same risk factors for sexual violence as armed conflict, particularly displacement, breakdown of social and legal systems, and dependence on humanitarian workers or security forces [ 12, 13], and warrant consideration along with conflict settings in terms of this issue.
To solve this issue the settings could be less strict regarding the deletion policy.
In clinical settings, these issues are often addressed through targeted weight-shifting training.
In order to improve the effectiveness of interventions to improve MRH and women's health in general in conflict and post-conflict settings, these issues need to be considered.
Other studies have reported a perceived lack of understanding between midwives working in different settings [ 14, 16, 17], and this issue was raised in stage one.
With girls' participation rates decreasing since then it is important to address this issue in contemporary settings.
