Objectives: to compare health of mothers and neonatal among age groups, to find out the correlation between
age groups and mother and neonatal health.
Methodology: A descriptive study was carried out at delivery rooms of three teaching hospitals in Baghdad city
from Feb. 28th through May. 28th
, 2013. A purposive (non-probability) sample of 300 laboring women was selected
from delivery rooms categorized into three groups, group 1 (≤19) years, group 2 their age between (20-35) years
old and group 3 their age (≥35) years. The data were collected through the use of constructing questionnaire, an
interview technique with mothers and reviewing their medical records as means of data collection; The
questionnaire consist of 3 parts: (1) demographic data (2) health of mothers during pregnancy (pregnancy
complications) (3) neonate health status. The validity of the study questionnaire was determined through a panel
of experts and the reliability of the study questionnaire was determine by the application of pilot study.
Descriptive statistical analysis procedure (frequencies and percentages) and inferential data analysis procedure
(chi-square, P-value, split- half approach and Cronbach's Alpha correlation coefficients) were applied for data
analysis.
Results: the finding of the study indicated that the highest percentages of all the study groups were primary school
graduates, urban and housewives. More than half of mothers in group 1 (teenage mothers) and group 2 (20-35)
years were related to their husband, while the highest percentages of mothers in group 3 (advanced maternal age)
were not related to their husband. The highest percentages of complications present in group 1 (teenage mothers)
were anemia, urinary tract infection, multiple pregnancy, Oligohydramnios, poly-hydramnios, intra uterine growth
retardation, Post-term labor, low Apgar score, low birth weight, congenital anomalies, respiratory distrees
syndrome, meconium aspiration syndrome and neonatal death. The highest percentages of complications present
in group 3 (advanced maternal age) were pregnancy induced hypertension, gestational diabetes, antepartum
haemorrhage, pre-term labor, premature rupture of membrane and macrosomia. There is a statistical significant
correlation between age groups and hypertension and preterm, Apgar score, neonatal weight and respiratory
distress syndrome.
Recommendations: Care providers need to be aware about the increasing of obstetrical and neonatal health
complications in the extremities of maternal age (teenage and advanced maternal age) and adjust obstetrical and
neonatal management protocols to ensure optimal maternal and neonatal health
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... Show MoreWe aimed to obtain magnesium/iron (Mg/Fe)-layered double hydroxides (LDHs) nanoparticles-immobilized on waste foundry sand-a byproduct of the metal casting industry. XRD and FT-IR tests were applied to characterize the prepared sorbent. The results revealed that a new peak reflected LDHs nanoparticles. In addition, SEM-EDS mapping confirmed that the coating process was appropriate. Sorption tests for the interaction of this sorbent with an aqueous solution contaminated with Congo red dye revealed the efficacy of this material where the maximum adsorption capacity reached approximately 9127.08 mg/g. The pseudo-first-order and pseudo-second-order kinetic models helped to describe the sorption measure
The current issues in spam email detection systems are directly related to spam email classification's low accuracy and feature selection's high dimensionality. However, in machine learning (ML), feature selection (FS) as a global optimization strategy reduces data redundancy and produces a collection of precise and acceptable outcomes. A black hole algorithm-based FS algorithm is suggested in this paper for reducing the dimensionality of features and improving the accuracy of spam email classification. Each star's features are represented in binary form, with the features being transformed to binary using a sigmoid function. The proposed Binary Black Hole Algorithm (BBH) searches the feature space for the best feature subsets,
... Show MoreThis study shows that it is possible to fabricate and characterize green bimetallic nanoparticles using eco-friendly reduction and a capping agent, which is then used for removing the orange G dye (OG) from an aqueous solution. Characterization techniques such as scanning electron microscopy (SEM), Energy Dispersive Spectroscopy (EDAX), X-Ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) were applied on the resultant bimetallic nanoparticles to ensure the size, and surface area of particles nanoparticles. The results found that the removal efficiency of OG depends on the G‑Fe/Cu‑NPs concentration (0.5-2.0 g.L-1), initial pH (2‑9), OG concentration (10-50 mg.L-1), and temperature (30-50 °C). The batch experiments showed
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