The deprivation Some of the children to exercise some fine motor activities a big problem , as a consequence, this problem plays of the delay in motor development during early childhood , Usually it happens to be the reasons for the lack of the right place to play , and the lack of the presence of the tools needed to play motor, or fear excessive protection by parents for their children as a result of lack of awareness of the importance of physical activity for the child to use his fingertips and fine his muscles . In addition to that small percentage of children spend most of their time in the daily activities and skills of non-motor , Such aswatching television, or play video games or they tend to play computer and mobile but they are moving away from sound methods in their dependence on fine motor skills when using the fingertips of their hand.
The fine motor in kindergarten registration of such enormous developments in the control of the hands and fingers , This results in a lot of movements as in the ability to cut and paste and build homes using a small wooden or plastic pieces.
The child at this stage attracted to different of motor games so you must make way for him to satisfy the wishes and his penchant for movement by practicing popular games in physical education lesson , Which helps to identify the shapes, colors and sizes, as well as that to develop his physical attitudes towards self-understanding and controlling his movements and compatibility between the eye and the hand, And working with his hands and feet and speed of response to external stimuli for cognitive mental processes in general growth , And help it to grow, which links between cognitive learning and cognitive growth, which is a prerequisite in social life, especially in the advanced ages.
The current research aims to identify the fine motor skills of kindergarten children.
In the current research was to adopt the point of view of complementarity when building test by defining fields, which included four fields , namely (manual - manual synergies , the circular motion of the hand and wrist , grab finger index finger and thumb, visual - manual synergies ).
The researcher chose kindergarten (AL- Jamhoria), located in Morocco Street to apply tested on children preliminary stage whose age between (5-6) years totaling (190) boys and girls by (98) males and (92) females, divided into four divisions, so as to make the application Test them.
In addition, the researcher to extract validity discrimination and difficulty and consistency of the test parameters, so that it can be applied to the sample. Having been testing the sample application, the researcher enter data obtained from children's responses in statistical Pouch (SSPS), has revealed research that the sample suffer from weakness in the fine motor skills results, it has been interpreted researcher reasons for this weakness, according to this view integrative theories for the lack of attention to the motor side for these children since the early stages before entering kindergarten.
This paper was aimed to study the efficiency of forward osmosis (FO) process as a new application for the treatment of wastewater from textile effluent and the factors affecting the performance of forward osmosis process.
The draw solutions used were magnesium chloride (MgCl2), and aluminum sulphate (Al2 ( SO4)3 .18 H2O), and the feed solutions used were reactive red, and disperse blue dyes.
Experimental work were includes operating the forward osmosis process using thin film composite (TFC) membrane as flat sheet for different draw solutions and feed solutions. The operating parameters studied were : draw solutions concentration (10 – 90 g/l), feed solutions concentration (5 – 30 mg/l), draw solutions flow rate (10 – 50 l/hr
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Twitter is becoming an increasingly popular platform used by financial analysts to monitor and forecast financial markets. In this paper we investigate the impact of the sentiments expressed in Twitter on the subsequent market movement, specifically the bitcoin exchange rate. This study is divided into two phases, the first phase is sentiment analysis, and the second phase is correlation and regression. We analyzed tweets associated with the Bitcoin in order to determine if the user’s sentiment contained within those tweets reflects the exchange rate of the currency. The sentiment of users over a 2-month period is classified as having a positive or negative sentiment of the digital currency using the proposed CNN-LSTM
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Software-defined networking (SDN) presents novel security and privacy risks, including distributed denial-of-service (DDoS) attacks. In response to these threats, machine learning (ML) and deep learning (DL) have emerged as effective approaches for quickly identifying and mitigating anomalies. To this end, this research employs various classification methods, including support vector machines (SVMs), K-nearest neighbors (KNNs), decision trees (DTs), multiple layer perceptron (MLP), and convolutional neural networks (CNNs), and compares their performance. CNN exhibits the highest train accuracy at 97.808%, yet the lowest prediction accuracy at 90.08%. In contrast, SVM demonstrates the highest prediction accuracy of 95.5%. As such, an
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This review focuses on conservation agriculture (CA) and its effects on increasing the soil’s resistance to erosion. CA involves minimum soil disturbance (minimum tillage/ no-till), diversified crop rotation, and maintenance of the soil cover to increase soil fertility and reduce erosion. CA reduces soil loss by up to 90% and water erosion by approximately 50 to 70% from runoff as it increases the health of the soil, yield of crops, and water-retention capacity of the soil by incorporating soil organic matter and promoting biodiversity. Crop rotation prevents the replenishment and depletion of soil nutrients by atmospheric fixation of nitrogen/biological nitrogen fixation. Controlled traffic farming (CTF) is a new strategy in which travel
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Pathology reports are necessary for specialists to make an appropriate diagnosis of diseases in general and blood diseases in particular. Therefore, specialists check blood cells and other blood details. Thus, to diagnose a disease, specialists must analyze the factors of the patient’s blood and medical history. Generally, doctors have tended to use intelligent agents to help them with CBC analysis. However, these agents need analytical tools to extract the parameters (CBC parameters) employed in the prediction of the development of life-threatening bacteremia and offer prognostic data. Therefore, this paper proposes an enhancement to the Rabin–Karp algorithm and then mixes it with the fuzzy ratio to make this algorithm suitable
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The protozoan parasite Entamoeba histolytica is a causative agent of amoebiasis, where it causes millions of cases of dysentery and liver abscess each year. Metronidazole is a drug of choice against amoebiasis. The drug is a choice because of its efficacy and low cost, but at the same time it causes several adverse side effects; therefore, it is important to find effective medications to treat amoebiasis without any complications or any side effects. The aim of this study is to evaluate the effectiveness of different concentrations (50, 75 and 100 µg/ml) of silver nanoparticle (AgNPs) against trophozoites stages of E. histolytica in vitro. The results showed a significant decrease (p ? 0.05) in numbers of trophozoites stages after treated
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