traffic accidents are one of the most important challenges  of public hygiene that needs global attention and effort. the recent research was conducted in order to determine the crash trend and develop the accident prediction model that leads to death in ilam from 2010 to 2014. the recent study based on descriptive analysis was performed by using the  statistical data related to death caused by...

Background: Predictive value of the umbilical nucleated red blood cells (NRBCs) at birth for neonatal outcomes has been assessed. Hence, the present study was conducted to compare NRBC between discharged and dead neonates.Methods: This cross-sectional study was performed on preterm newborns with a birth weight of < 1,500 g admitted to the Neonatal Intensive Care Unit of Ghaem Hospital, Ma...

Background: Physicians’ and nurses’ experience of the COVID-19 pandemic and its physical and psychological consequences can be associated with changes in biological and hormonal levels, experienced as fatigue, restlessness, disruptions in one's mood, and sleep quality. This study examined the role of depression and death anxiety in contracting COVID-19 among healthcare staff. Methods: The stat...

Abstract Affected by parameter drift and coupling organization, nonlinear dynamical systems exhibit suppressed oscillations. This phenomenon is called amplitude death. In various complex systems, death a typical critical phenomenon, which may lead to the functional collapse of system. Therefore, an important issue how effectively predict phenomena based on data in system oscillation state. pape...

background : in medical studies, when the joint prediction about occurrence of two events should be anticipated, a statistical bivariate model is used. due to the limitations of usual statistical models, other methods such as artificial neural network (ann) and hybrid models could be used. in this paper, we propose a hybrid artificial neural network-genetic algorithm (ann-ga) model to predictio...