Early childhood Is the of the important stages in the life of man and initiated full on others
reliability has been rise in growth toward independence and self-reliance, as is the transition
from the home environment to the kindergarten environment (kindergarten) (4-6) years where
starts in the interaction with the external environment, it is an essential stage in the
construction of sound personal to the child, and choose proper clothes at this age is one of the
important aspects in building the child's personality, as it reflects the clothing behavior and
taste his parents, especially his mother, she is the first responsible for providing clothes for
her children. Children at this stage are dependent the mothers in the selection of clothing, and
the clothing helps its inception and with coexistence around him, especially in the initialstages of his life, as the Almbusah habits passed down from generation and the last group to
another in the same society
In order to achieve the desired benefit from the use of clothes should the mind physical
and social considerations by examining the different growth aspects to this stage because they
affect as wear and what must be an element of the terms in this clothing, small does not care
who his clothing child but it does not hamper his movement and activity and acceptance
among his peers
The study aimed to identify the extent of the mother culture in the selection of baby
clothes in early childhood (4-6 years) and its relationship with some variables {mother's
profession (working - not working), the number of children
To achieve the objective of the study was to build a tool to measure the mother culture in
the selection of baby clothes, has adopted the questionnaire in Setup Utility For information
conducted a prospective study (50) or randomly selected from the city of Baghdad Bjanbhe
Karkh and Rusafa, the questionnaire included an open question for a sample
Q/ What is the Almbusah and what are the foundations and rules that are in the light of
choosing baby clothes culture?
The preparation of the scale in its final form after it has been presented to the experts to
check the validity of paragraphs or failure expired, as has been applied to a random sample
(10) mothers to ensure the clarity of the instructions and paragraphs, and depending on the
stability of the scale by using the run-off mode and using the Pearson correlation coefficient
was the correlation coefficient (0 0.84) is a good stability coefficient
After that was the final application of the measure on a sample of (100) or by (50)
working mother and (50) or non-functioning in Baghdad city center Bjanbhe Karkh and
Rusafa, emptied answers and treated statistically turned out to be mothers to have a culture
and awareness in the selection of children's clothing stage early childhood, it turns out that
there is a statistically significant difference in the effect of the mother culture in the selection
of baby clothes in early childhood by Mother career variable and in favor of a working
mother, it turns out that there is a statistically significant difference by a variable number of
children and in favor of a class (three or more children) and category ( child) At the end Find
researcher made some recommendations and proposals
Advanced strategies for production forecasting, operational optimization, and decision-making enhancement have been employed through reservoir management and machine learning (ML) techniques. A hybrid model is established to predict future gas output in a gas reservoir through historical production data, including reservoir pressure, cumulative gas production, and cumulative water production for 67 months. The procedure starts with data preprocessing and applies seasonal exponential smoothing (SES) to capture seasonality and trends in production data, while an Artificial Neural Network (ANN) captures complicated spatiotemporal connections. The history replication in the models is quantified for accuracy through metric keys such as m
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Background: The world is in front of two emerging problems being scarceness of virgin re-sources for bioactive materials and the gathering of waste production. Employment of the surplus waste in the mainstream production can resolve these problems. The current study aimed to prepare and characterize a natural composite CaO-SiO2 based bioactive material derived from naturally sustained raw materials. Then deposit this innovative novel bioactive coating composite materials overlying Yttria-stabilized tetragonal zirconia substrate. Mate-rials and method; Hen eggshell-derived calcium carbonate and rice husk-derived silica were extracted from natural resources to prepare the composite coating material. The manufac-tured powder was characterized
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A phytoremediation experiment was carried out with kerosene as a model for total petroleum hydrocarbons. A constructed wetland of barley was exposed to kerosene pollutants at varying concentrations (1, 2, and 3% v/v) in a subsurface flow (SSF) system. After a period of 42 days of exposure, it was found that the average ability to eliminate kerosene ranged from 56.5% to 61.2%, with the highest removal obtained at a kerosene concentration of 1% v/v. The analysis of kerosene at varying initial concentrations allowed the kinetics of kerosene to be fitted with the Grau model, which was closer than that with the zero order, first order, or second order kinetic models. The experimental study showed that the barley plant designed in a subsu
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Activated carbon derived from Ficus Binjamina agro-waste synthesized by pyro carbonic acid microwave method and treated with silicon oxide (SiO2) was used to enhance the adsorption capability of the malachite green (MG) dye. Three factors of concentration of dye, time of mixing, and the amount of activated carbon with four levels were used to investigate their effect on the MG removal efficiency. The results show that 0.4 g/L dosage, 80 mg/L dye concentration, and 40 min adsorption duration were found as an optimum conditions for 99.13% removal efficiency. The results also reveal that Freundlich isotherm and the pseudo-second-order kinetic models were the best models to describe the equilibrium adsorption data.
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Date palm silver nanoparticles are a green synthesis method used as antibacterial agents. Today,
there is a considerable interest in it because it is safe, nontoxic, low costly and ecofriendly. Biofilm bacteria
existing in marketed local milk is at highly risk on population health and may be life-threatening as most
biofilm-forming bacteria are multidrug resistance. The goal of current study is to eradicate biofilm-forming
bacteria by alternative treatment green synthesis silver nanoparticles. The biofilm formation by bacterial
isolates was detected by Congo red method. The silver nanoparticles were prepared from date palm
(khestawy) fruit extract. The formed nanoparticles were characterized with UV-Vis
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The current study used extracts from the aloe vera (AV) plant and the hibiscus sabdariffa flower to make Ag-ZnO nanoparticles (NPs) and Ag-ZnO nanocomposites (NCs). Ag/ZnO NCs were compared to Ag NPs and ZnO NPs. They exhibited unique properties against bacteria and fungi that aren't present in either of the individual parts. The Ag-ZnO NCs from AV showed the best performance against E. coli, with an inhibition zone of up to 27 mm, compared to the other samples. The maximum absorbance peaks were observed at 431 nm and 410 nm for Ag NPs, at 374 nm and 377 nm for ZnO NPs and at 384 nm and 391 nm for Ag-ZnO NCs using AV leaf extract and hibiscus sabdariffa flower extract, respectively. Using field emission-scanning electron microscopes (FE-
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