We report an outbreak of varicella in a residential home for 29 children(aged 4 to 16 years) with severe physical and learning disability. We report our group's incidence, complication and hospitalisation rate of varicella despite anti-viral therapy. As we did not have a control group we use statistics pertaining to the general population for comparison. All 15 non-immune children contracted varicella within 30 days of the index case. The complication rate was 9 in 15, three time higher than in the general population. The hospitalisation rate was 5 in 15. This is remarkably high. The incidence of hospitalisation in the general population is 1 to 5 per 1,000. In conclusion we suggest that the guidelines for varicella vaccination should include all non-immune children and adults with severe to profound physical and learning disability. We recommend that this disease should be notifiable in the severely physically disabled population. We recommend that within 3 days of exposure to varicella children with severe to profound physical and learning disability are vaccinated to prevent infection (post exposure prophylaxis). These findings are important in countries where varicella vaccination is not part of the routine vaccination program and is not part of the routine vaccination program and is only offered to select groups of children.
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Sci Rep
December 2024
Department of Electronics, Information and Communication Engineering, Kangwon National University, Samcheok, 25913, Republic of Korea.
Autism spectrum disorder (ASD) is a neurologic disorder considered to cause discrepancies in physical activities, social skills, and cognition. There is no specific medicine for treating this disorder; early intervention is critical to improving brain function. Additionally, the lack of a clinical test for detecting ASD makes diagnosis challenging.
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December 2024
University Department of Forensic Sciences, University of Split, Split, Croatia.
Recent advances in artificial intelligence (AI) and machine learning (ML) applications have elevated accomplishments in various scientific fields, primarily those that benefit the economy and society. Contemporary threats, such as armed conflicts, natural and man-made disasters, and illegal immigration, often require fast and innovative but reliable identification aids, in which forensic anthropology has a significant role. However, forensic anthropology has not yet exploited new scientific advances but instead relies on traditionally used methods.
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December 2024
Department of Applied Mathematics, Tokyo University of Science, Shinjuku, Tokyo, 162-8601, Japan.
Reservoir computing is a machine learning framework that exploits nonlinear dynamics, exhibiting significant computational capabilities. One of the defining characteristics of reservoir computing is that only linear output, given by a linear combination of reservoir variables, is trained. Inspired by recent mathematical studies of generalized synchronization, we propose a novel reservoir computing framework with a generalized readout, including a nonlinear combination of reservoir variables.
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December 2024
General Surgery Center, The General Hospital of Western Theater Command, Chengdu, 610083, Sichuan, China.
The COVID-19 pandemic has significantly impacted the quality of life (QoL) of individuals in China, affecting both their physical and mental well-being. This study aims to comprehensively analyze the factors influencing QoL in China during the pandemic. In 2022, we collected data using a self-developed questionnaire (dataset 2) and obtained dataset 1 from the 2021 China General Social Survey (CGSS).
View Article and Find Full Text PDFThe study explore machine learning (ML) techniques to predict temperature-dependent photoluminescence (PL) spectra in colloidal CdSe nanoplatelets (NPLs), leveraging polynomial regression models trained on experimental data from 85 to 270 K spanning temperatures to forecast PL spectra backward to 0 K and forward to 300 K. 6th-degree polynomial models with Tweedie regression were optimal for band energy ([Formula: see text]) predictions up to 300 K, while 9th-degree models with LassoLars and Linear Regression regressors were suitable for backward predictions to 0 K. For exciton energy ([Formula: see text]), the Lasso model of degree 5 and the Ridge model of degree 4 performed well up to 300 K, while the Tweedie model of degree 2 and Theil-Sen model of degree 2 showed promise for predictions to 0 K.
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