doi:10.47723/kcmj.v16isupplement.195

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Publication Date

Sat Sep 12 2020

Journal Name

Al-kindy College Medical Journal

Volume

16

Issue Number

supplement

DOI

10.47723/kcmj.v16isupplement.195

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A Brief view on the pediatric COVID- 19 pandemic

COVID-19

pandemic

children

Mahmood D.

Ali Abdul Razzak

Isam

Mohammed Jalal

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The world is currently challenging the serious effects of the pandemic of the Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). Data on pediatric COVID are rare and scattered in the literature. In this article, we presented the updated knowledge on the pediatric COVID-19 from different aspects. We hope it will increase the awareness of the pediatricians and health care professionals on this pandemic.

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Publication Date

Sun Jun 04 2017

Journal Name

Baghdad Science Journal

Hematological Study of Infants Amoebiasis in Duhok City

Amoebiasis

Entamoeba histolytica

Infant

Children

Direct Smear

Saturated Salt Solution

Blood Profile

Assist. Prof. Dr. Saad Mohi

Lecturer Saad Mohammed Shaheen

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Out of 180 children, 60 (33.3%) have Amoebiasis infection as diagnosed by direct wet smear and Saturated Salt Solution (SSS). SSS method is more significant (P=0.001) in diagnosis of the disease. Number of children infected with Amoebiasis infection is higher in infants aged 1-6 months, but without any significant difference to ages 6-12 or 12-18 months. In contrast, infants aged 18-24 months are significantly differant (P=0.01) as the infection rate is 16.6%. Gender also is seen to be reduced in significance (P= 0.001) for females aged 18-24 months. Blood profile of the involved infants has shown a significant variation (P=0. 01) for all blood profile parameters (RBC (P=0.05), WBC (P=0.001), Lymphocytes (P=0.05), Granulated WBC (P=0.05),

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Publication Date

Sat Jul 02 2016

Journal Name

Iraqi Medical Journal

Screeing for Hepatitis ( HBs Ag) and Hepatitis C (HCV Ab) Among Dialysis Children.

Hepatitis B virus

Hepatitis C virus

(HBs Ag)

(HCV Ab)

Dialysis children.

Huda S

Luay I

Riyadh Abdul-R

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Publication Date

Sun Oct 01 2023

Journal Name

Baghdad Science Journal

Using VGG Models with Intermediate Layer Feature Maps for Static Hand Gesture Recognition

Convolutional Neural Networks

Deep Learning

Hand Gesture Recognition

VGG-16

VGG-19.

Osamah Y.

Bashar

Ayad R.

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A hand gesture recognition system provides a robust and innovative solution to nonverbal communication through human–computer interaction. Deep learning models have excellent potential for usage in recognition applications. To overcome related issues, most previous studies have proposed new model architectures or have fine-tuned pre-trained models. Furthermore, these studies relied on one standard dataset for both training and testing. Thus, the accuracy of these studies is reasonable. Unlike these works, the current study investigates two deep learning models with intermediate layers to recognize static hand gesture images. Both models were tested on different datasets, adjusted to suit the dataset, and then trained under different m

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