A Brief view on the pediatric COVID- 19 pandemic

Mahmood D. Subhi; Ali Abdul Razzak Obaid; Isam AL-Zwaini; Mohammed Jalal Hussein

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. Subhi

Ali Abdul Razzak Obaid

Isam AL-Zwaini

Mohammed Jalal Hussein

...Show More Authors

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

Sat Feb 01 2025

Journal Name

Saudi Medical Journal

Spectrum and classification of<i>ATP7B</i>variants with clinical correlation in children with Wilson disease

ATP7B

Next-Generation Sequencing

Wilson disease

children

Iraq

c.3305T>C

c.956delC

Ruqayah GY.

Bassam MS.

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Objectives: To study the spectrum and classification of ATP7B variants in Iraqi children with Wilson disease by direct gene sequencing with clinical correlation. Methods: Fifty-five unrelated children with a clinical diagnosis of Wilson disease (WD) were recruited. Deoxyribonucleic acid was extracted from peripheral blood samples, and variants in the ATP7B gene were identified using next-generation sequencing. Results: Seventy-six deleterious variants were detected in 97 out of 110 alleles of the ATP7B gene. Thirty (54.5%) patients had 2 disease-causing variants (15 homozygous and 15 compound heterozygous). Twelve (21.8%) patients had one disease-causing variant and one variant of uncertain significance (VUS) with potential pathogenicity. T

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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 S

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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