Objective : To assess the efficiency for some disinfectants against the microorganisms isolated from
the wards of newborn and premature babies in Educational Baghdad Hospital .
Methodology :This study had done from 1\8\2014 untile 1\9\2014, we had selected three types of
disinfectants ( Incidine , Bleach and Microbac Forte )which were used for disinfection in the wards of
newborn babies at Educational Baghdad Hospital to assess their effect against the microorganisms
isolated from these wards and study the mixed affect of these disinfectants againt same
microorganisms .
Results : The results of the present study showed that there is affect of the different concentrations of
the used disinfectants against the microorganisms isolated from the wards of the newborn and
premature babies , also there is a synergism affect of microbac forte with sodium hypochlorite and
incidine , as well as , there is an antagonism affect of sodium hypochlorite with incidine a comparision
if they used alone .
Recommendation : The present study had been suggested to use the highly concentrations of
Microbac forte , Incidine and sodium hypochlorite to sterilize the wards of newborn and premature
babies , also the study had been suggested to use the mixed solutions of microbac forte with incidine
and sodium hypochlorite to disinfect the same wards .
Arabic text classification is a challenging task because of the complex morphology of the language, the existence of different writing forms and a multitude of dialects, which can result in sparser common text representations. While transformer models such as AraBERT have obtained superior results on many Arabic NLP tasks, their high computational requirements make them difficult to deploy in environments with limited hardware resources. In some cases this can also make the model less practical for researchers working with basic computer systems. This study focuses on a more practical issue: how much accuracy a simple classifier may lose when the amount of required computation is reduced. We use a combined TF-IDF representation based on bo
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