an explanatory study was conducted to investigate the nursing care provided to patients with toxemia of pregnancy hospitalized in the medical sciences university hospitals gynecology wards in tehran.   a tot al of 65 patients with toxemia hospitalized in gynecologic wards in 14 hospitals supervised by tehran,   shahid beheshti and iran universities were selected.   the data were gathered upon r...

Background: Human beings use different approaches to learning. Thus the aim of this study is to explore the mechanisms of learning through the hidden curriculum in the perspective of baccalaureate undergraduate nursing students. Methods: This qualitative study, involving 24 baccalaureate undergraduate nursing students, was done by purposeful sampling strategies. The data were collected using se...

abstract background: while nursing workload is a worldwide challenge, less attention has been given to the determining factors. understanding these factors is important and could help nursing managers to provide suitable working environment and to manage the adverse outcomes of nursing workload. the aim of this study was to discover nurses’ experiences of determinant factors of their workload. ...

BACKGROUND Differences exist in the perception and enactment of professional values among practicing registered nurses (RNs). Hall's Care, Cure, and Core model was used as a framework for this study. METHODS This study compared perceptions of professional values of 198 RNs according to their level of nursing education and other potentially influencial factors. An online survey developed by th...

Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitativ...

Bayesian Networks are probabilistic structured representations of domains which have been applied to monitoring and manipulating cause and effects for modelled systems as disparate as the weather, disease and mobile telecommunications networks. Although useful, Bayesian Networks are notoriously difficult to build accurately and efficiently which has somewhat limited their application to real wo...

Bayesian Networks are probabilistic structured representations of domains which have been applied to monitoring and manipulating cause and effects for modelled systems as disparate as the weather, disease and mobile telecommunications networks. Although useful, Bayesian Networks are notoriously difficult to build accurately and efficiently which has somewhat limited their application to real wo...