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A study conducted by researchers at Jiangsu University in China explores the relationship between social network site (SNS) usage and youth's school absenteeism. The study utilizes data from the Longitudinal Study of Australian Children and employs various statistical methods to identify causality. The findings suggest that SNS usage, particularly abnormal usage, is associated with higher probabilities of being late for school, skipping class, and not following school rules. Additionally, SNS usage decreases the likelihood of youth studying after 18 years old. The study emphasizes the importance of preventing excessive SNS usage among youth and calls for attention from stakeholders such as teachers, parents, and the youth themselves. This research provides the first causal and longitudinal evidence linking SNS usage to absenteeism and youth labor outcomes. [Extracted from the article]

A report from Jiangnan University in Jiangsu, China discusses the use of deep learning methods for segmenting computed tomography (CT) images. The researchers propose a semi-supervised learning method that utilizes a contrastive learning model based on entropy constraints to enhance the segmentation of CT images. They combine convolutional neural networks (CNN) and Transformer models to capture local and global feature information in the images. The proposed method is evaluated using the COVID-19 CT public dataset and shows improvements in several evaluation metrics compared to existing semi-supervised methods. The research concludes that their method improves the utilization of unlabeled medical images for segmentation. [Extracted from the article]

Furthermore, through rinsing the experimental components and quantitatively determining the deposition fraction based on rinsate absorbance, experimental results indicate that the deposition fraction of nebulized droplets decreases initially and then increases with increasing inspiratory flow rate from 15 to 60 l/min. Keywords: Jiangsu; People's Republic of China; Asia; Fluids Physics; Physics; Risk and Prevention EN Jiangsu People's Republic of China Asia Fluids Physics Physics Risk and Prevention 725 725 1 09/25/23 20230929 NES 230929 2023 OCT 1 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Letter on the CDC & FDA -- A new study on Physics - Fluids Physics is now available. [Extracted from the article]

Jiangsu, People's Republic of China, Asia, Algorithms, Coronavirus, RNA Viruses, Risk and Prevention, Viral, Virology Keywords: Jiangsu; People's Republic of China; Asia; Algorithms; Coronavirus; RNA Viruses; Risk and Prevention; Viral; Virology EN Jiangsu People's Republic of China Asia Algorithms Coronavirus RNA Viruses Risk and Prevention Viral Virology 1058 1058 1 09/19/23 20230922 NES 230922 2023 SEP 24 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Letter on the CDC & FDA -- Data detailed on RNA Viruses - Coronavirus have been presented. [Extracted from the article]