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CONSTRACION SCALE FOR AUTISTIC CHILDREN
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Autism is considered as one of the most developmental  problems  in the world that interfere with children growth and affect their social ,emotional and cognitive development child with autism used to be normal in his growth but in his development parents started to notice that their child characterize by loneliness and withdrawal himself from the surrounding world with some mannerism behaviors these characteristics used to be manifested children during the 1st  three year of their life .  It appears, one in every 500 birth (The American International Institution for child health 1997. and it would be less in females than makes at 1/4 percent .

    Aim is to build the autism scale     for children   , and the total population of (Rami,AL-amal,AL-saadah) institutes for handicapped in Baghdad were 447 children (boys and girls) (400)children (boys and girls ) were chosen randomly to fulfill the requirement of the study, children were from3-13 years old at academic year 2006/2007 .  210 of them Males and 237 females. (18) teachers from the above  institutes chosen    to apply ,.                                                                                                       

   The scale to be applied for autistic children is consist of  five elements ,1st element is (language and communication is weighted 27% , 2nd element is visual understanding of the child weight  13% ,3rd element is social adaptation of the child that weight 20%,4th is  effervescence behavior weight  20% , and finally the 5th element which is gross and fine motor skill  assessment that weight 20%, ).                                                             and it has been (90) items were formulated and then  (10) of the formulated items were omitted and only (80)  items were discovered to be reliability  and validity , Pearson correlation coefficient while the scale reliability has been done in two  ways  ( test Re test , Alfa Cronbach) were used to analyze the result. and the standard error of the scale has been extracted which leads for some recommendation and suggestions of them is to benefit of the research indigenizing autism children in primary schools .                                                                                               

 

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Publication Date
Mon Jan 01 2018
Journal Name
Complexity
Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease
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Alzheimer’s disease (AD) is a progressive disorder that affects cognitive brain functions and starts many years before its clinical manifestations. A biomarker that provides a quantitative measure of changes in the brain due to AD in the early stages would be useful for early diagnosis of AD, but this would involve dealing with large numbers of people because up to 50% of dementia sufferers do not receive formal diagnosis. Thus, there is a need for accurate, low-cost, and easy to use biomarkers that could be used to detect AD in its early stages. Potentially, electroencephalogram (EEG) based biomarkers can play a vital role in early diagnosis of AD as they can fulfill these needs. This is a cross-sectional study that aims to demon

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Sat Jul 22 2023
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Thu Jan 01 2015
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Fri Sep 30 2022
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Thu Jun 01 2023
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The road network serves as a hub for opportunities in production and consumption, resource extraction, and social cohabitation. In turn, this promotes a higher standard of living and the expansion of cities. This research explores the road network's spatial connectedness and its effects on travel and urban form in the Al-Kadhimiya and Al-Adhamiya municipalities. Satellite images and paper maps have been employed to extract information on the existing road network, including their kinds, conditions, density, and lengths. The spatial structure of the road network was then generated using the ArcGIS software environment. The road pattern connectivity was evaluated using graph theory indices. The study demands the abstractio

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Publication Date
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Sat Jul 01 2017
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Publication Date
Thu Aug 01 2024
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Smart Agricultural Technology
Smart fertilizer technologies: An environmental impact assessment for sustainable agriculture
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The global food supply heavily depends on utilizing fertilizers to meet production goals. The adverse impacts of traditional fertilization practices on the environment have necessitated the exploration of new alternatives in the form of smart fertilizer technologies (SFTs). This review seeks to categorize SFTs, which are slow and controlled-release Fertilizers (SCRFs), nano fertilizers, and biological fertilizers, and describes their operational principles. It examines the environmental implications of conventional fertilizers and outlines the attributes of SFTs that effectively address these concerns. The findings demonstrate a pronounced environmental advantage of SFTs, including enhanced crop yields, minimized nutrient loss, improved nut

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