Background: A basic knowledge and understanding
of first aid can be invaluable for individuals to be
able to provide emergency care in the event of an
accident, possibly saving lives and minimizing
injury. Since injury is the fifth leading cause of death
and children at the age of primary school are liable
for accidents and lack of knowledge and good
judgment of their teachers may lead to dangerous
consequences when emergencies occur. Training
teachers how to deal with accidents is of obvious
importance.
Objectives: To estimate the adequacy of primary
school teachers’ knowledge of first aid concerning
external bleeding and fractures and Whether there's a
difference in knowledge in regard to years spent in
teaching or the teaching subject and to decide
whether primary school teachers need training or not.
Methods: This study is a cross-sectional Study was
done over 5 months (from 01/Dec/2010 to 01/May/
2011) in five randomly chosen primary schools in
different regions in Baghdad/ Al-Rusafa,carried out
on 100 primary school teachers without inclusion or
exclusion criteria.
Statistical analysis: Chi-Square was calculated by
MiniTab Program to estimate significance. The
significance level was set at P<0.05.
Results: Of the 100 participants, 4% had good
knowledge, 19% had fair knowledge and 77% had
poor knowledge, 26% were science teachers, 9%
were social studies teachers, 43% were literature
teachers and 22% were sport/art teachers. No
significant difference was found for their knowledge
(p value=0.41).Also participants were classified
according to the years they spent in teaching. No
significance was found for their knowledge (p
value=0.82).
Conclusions: Primary school teachers' knowledge of
first aid concerning external bleeding and fractures is
poor and certainly inadequate.No difference was
found in regard to how many years spent in teaching
and difference in teaching subjects also has no effect
on their knowledge.
Green biosynthesized selenium nanoparticles from
(4)
The Co (II), Ni (II) ,Cu(II), Zn(II) ,Cd(II) and Hg(II) complexes of mixed of amino acid (L-Alanine ) and Trimethoprim antibiotic were synthesized. The complexes were characterized using melting point, conductivity measurement and determination the percentage of the metal in the complexes by flame (AAS). Magnetic susceptibility, Spectroscopic Method [FTIR and UV-Vis]. The general formula have been given for the prepared mixed ligand complexes [M(Ala)2(TMP)(H2O)] where L- alanine (abbreviated as (Ala ) = (C5H9NO2) deprotonated primary ligand, L- Alanine ion .= (C5H8NO2 -) Trimethoprim (abbreviated as (TMP ) = C10H11N3O3S M(II) = Co (II),Ni(II) ,Cu(II), Zn(II) ,Cd(II) and Hg(II). The results showed that the deprotonated L- Alanine by KOH (Ala
... Show MoreThe adsorption ability of Iraqi initiated calcined granulated montmorillonite to adsorb Symmetrical Schiff Base Ligand 4,4’-[hydrazine-1, 2-diylidenebis (methan-1-yl-1-ylidene)) bis (2-methoxyphenol)] derived from condensation reaction of hydrazine hydrate and 4-hydroxy-3-methoxybenzaldehyde, from aqueous solutions has been investigated through columnar method.The ligand (H2L) adsorption found to be dependent on adsorbent dosage, initial concentration and contact time.All columnar experiments were carried out at three different pH values (5.5, 7and 8) using buffer solutions at flow rate of (3 drops/ min.),at room temperature (25±2)°C. The experimental isotherm data were analyzed using Langmuir, Freundlich and Temkin equations. The monol
... Show More
(8)
(20)
(9)
(10)
(20)
Rehabilitation robots are widely recognized as vital for restoring motor function in patients with lower-limb impairments. A Modified Fractional-Order Proportional-Integral-Derivative (MFOPID) controller is proposed to improve trajectory tracking of a 2-DoF Lower Limb Rehabilitation Exoskeleton Robot (LLRER). The classical FOPID is augmented with a modified control formulation by which steady-state error is reduced and the transient response is sharpened. Controller gains and fractional orders were tuned offline using a hybrid metaheuristic Improved Elk Herd Optimization hybridized with Grey Wolf and Multi-Verse Optimization algorithms (IElk-GM) so that exploration and exploitation are balanced. Superiority over the classical FOPID
... Show More
(1)