Evaluation of uncertainty in determination of cetrimonium bromide residue in polysaccharide vaccines by ultra performance liquid chromatography-mass spectrometry / 中国生物制品学杂志

@#Objective To determine the cetrimonium bromide(CTAB)residue in polysaccharide vaccines using ultra performance liquid chromatography-mass spectrometry(UPLC/MS-MS),and analyze and evaluate the uncertainty of the determination results.Methods By establishing a mathematical model,the sources and values of uncertainty introduced in the measurement process were analyzed,the uncertainty components of each influencing factor were calculated,and the standard uncertainty and expanded uncertainty were synthesized to form an uncertainty report.Results At 95% confidence interval,the expanded uncertainty was 0. 002 8 mg/kg. The determination result of CTAB residue in polysaccharide vaccine was reported as(1. 000 6 ± 0. 002 8)mg/kg(k = 2,confidence interval p = 95%).Conclusion The main factors affecting the accuracy of determination results are the preparation of standard solution and the introduction of recovery rate,which should be focused on and controlled in the experiment process to make the detection results more reliable.

Human remote mobile medical information collection method based on internet of things and intelligent algorithm / Método de coleta de informações médicas móveis à distância baseado na internet das coisas e no algoritmo inteligente / Métodos de reunión de información sobre telemedicina móvil basados en la red de materia y algoritmos inteligentes

ABSTRACT In the environment of rapid social and economic development, the reform of medical informatization is constantly advancing, and the residents pay more and more attention to their own health status while improving their living standards. The traditional medical service system has some disadvantages in providing real-time, cross regional, long-term and easy-to-operate health services, which has become increasingly inadequate to meet the health needs of users. In order to solve the problem of difficulty in seeing a doctor caused by limited medical resources, and to carry out real-time health monitoring for a large number of groups suffering from chronic diseases and sub-health groups, this study conducted in-depth analysis and experimental exploration on the human remote mobile medical information collection method based on the Internet of things and intelligent algorithm. It established the information collection section by using KbaC clustering algorithm based on ant colony point system which, combined with a comparative study on the health indicators of related groups, has successfully proved that the Internet of things technology and intelligent algorithm for medical information collection and follow-up medical services are of certain positive significance, based on the Internet of things and other related technologies of human remote medical information collection system that can accurately and timely detect the patient's blood pressure, blood sugar and other health data, and then provide corresponding medical services.

RESUMO No ambiente de rápido desenvolvimento do nível social e econômico, a reforma da informatização médica está constantemente avançando, e os residentes prestam cada vez mais atenção ao seu próprio estado de saúde, melhorando ao Mesmo tempo seu padrão de vida. O sistema tradicional de serviços médicos tem algumas desvantagens em fornecer serviços de saúde em tempo real, transfronteiriços, de longo prazo e fáceis de operar, o que vem se tornando cada vez mais inadequado para satisfazer as necessidades de saúde dos usuários. A fim de resolver o problema a da dificuldade em consultar um médico por devido a recursos médicos limitados, e para realizar a monitorização da saúde em tempo real para um grande número de grupos que sofrem de doenças crônicas e subgrupos de saúde, este estudo conduziu uma análise aprofundada e uma exploração experimental sobre o método de coleta de informações médicas móvel à distância humana baseado na Internet das coisas e algoritmo inteligente. Estabeleceu a seção de coleta de informações utilizando o algoritmo de clustering KbaC baseado no sistema de pontos de colônias de formigas que, juntamente com um estudo comparativo sobre os indicadores de saúde dos Grupos conexos, conseguiu provar que a tecnologia da Internet das coisas e o algoritmo inteligente para a coleta de informações médicas e acompanhamento dos serviços médicos têm certa relevância positiva baseada na Internet das coisas e outras tecnologias relacionadas ao sistema de coleta de informações médicas remotas humanas, podendo detectar com precisão e tempo hábil a pressão arterial do paciente, a glicose e outros dados de saúde, e, em seguida, fornecer o serviço médico correspondente.

RESUMEN En un entorno de rápido desarrollo social y económico, la reforma de la informatización médica avanza constantemente y las personas prestan cada vez más atención a su estado de salud mientras mejoran su nivel de vida. El sistema de servicio médico tradicional tiene deficiencias en la prestación de servicios de salud en tiempo real, transregionales, a largo plazo y fáciles de operar, los que se han vuelto cada vez más inadecuados para satisfacer las necesidades de salud de los usuarios. Este estudio realizó un análisis con el objetivo de resolver la dificultad para consultar al médico debido a la limitación de los recursos, y de realizar un seguimiento de la salud en tiempo real de un gran número de grupos que padecen enfermedades crónicas. Dicho trabajo realizó un análisis en profundidad y de exploración experimental acerca del método de recopilación de información médica humana móvil remoto basado en Internet de las cosas y el algoritmo inteligente. Estableció la sección de recopilación de información utilizando el algoritmo de agrupación KbaC basado en el sistema de puntos de colonia de hormigas. Esto, combinado con un estudio comparativo sobre los indicadores de salud de grupos relacionados, ha demostrado con éxito que la tecnología de Internet de las cosas y el algoritmo inteligente para la recopilación y seguimiento de información médica son de importancia positiva, y que pueden detectar de manera precisa y oportuna la presión arterial, el azúcar en sangre y otros datos de salud del paciente, para luego proporcionar la atención médica correspondiente.

Comparison of the accuracy of two⁃dimensional and three⁃dimensional photography in the facial measuremenof patients with unilateral cleft lip t / 口腔疾病防治

Objective@#To compare the measurement accuracy of two⁃dimensional (2D) photography and three⁃di⁃mensional (3D) photography in the analysis of the asymmetric appearance of children with cleft lip and palate and the influence of the severity of asymmetric deformity on the accuracy of facial measurement to guide clinical measurement work@* Methods@#Children with unilateral cleft lip were enrolled in this prospective study. Seven parameters⁃⁃the devia⁃tion of the pronasale, subnasale, and labrale superius, as well as the cleft/noncleft ratio of the width of nostrils, length and height of lateral lips and height of columella⁃were measured with Vernier calipers as the gold standard. Traditional 2D photography and 3D stereophotogrammetry photos were taken and measured. The extent of cleft malformation is indi⁃cated by the ratio of the cleft side to the noncleft side. The error size is represented by the ratio difference between two⁃dimensional photography or stereophotogrammetry with the ratio of the gold standard@* Results@#Thirteen patients were eventually recruited. The measurement results of the ratio of lateral lip height by 2D photography tended to be larger (P＝0.019), and the measurement results of the ratio of columella height tended to be smaller (P＝0.008). The measure⁃ment results of the deviation of the subnasale by stereophotogrammetry tended to be smaller (P＝0.003). The pronasale deviation (P＝0.022) with two⁃dimensional photography, the deviation of the labrale superius (P＝0.025) and the ratio of lateral lip length (P＝0.036) with stereophotogrammetry had a significant negative correlation with the extent of cleft malformation@* Conclusion@#Both two⁃dimensional photography and stereophotogrammetry have errors and biases that underexaggerate or overexaggerate the extent of cleft malformation, and some errors may increase with the decrease in the extent of cleft malformation. When applying two⁃dimensional and three⁃dimensional photography to analyze cleft lip and palate deformities, these biases should be considered to evaluate the face more objectively