Exploration of Decision-Making Methods Based on Syndrome Differentiation by “Data-Knowledge” Dual-Driven Models： A Case Study of Gastric Precancerous State / 中医杂志

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

A guide for systematic reviews of observational studies / Guía para revisiones sistemáticas de estudios observacionales / Guia para revisão sistematica de estudos observacionais

ABSTRACT Objective: to describe a guide for the development of systematic reviews of observational studies and systematization of international guidelines and tools, focusing on diverse evidence for innovation and clinical practice. Method: this theoretical-conceptual study was initiated during the development of a systematic review with meta-analysis of observational studies, using international guidelines and tools. Results: a guide was constructed to develop systematic reviews of observational studies. Diverse information about several stages and requirements for conducting a systematic review based on international guidelines and tools was systematized, aiming to ensure scientific rigor in manuscripts written by professionals from the health area. Conclusion: this study contributes to research in the health area by innovatively synthesizing guidance on the systematic review method and approaches. The references herein used serve as a starting point for understanding the procedures and international tools necessary for a systematic review of observational studies.

RESUMEN Objetivo: describir una guía para desarrollar revisiones sistemáticas de estudios observacionales y sistematizar pautas y herramientas internacionales, concentrándose en evidencias para la innovación y la práctica clínica. Método: este estudio teórico-conceptual se inició mientras se desarrollaba una revisión sistemática con metaanálisis de estudios observacionales en la que se utilizaron directrices y herramientas internacionales. Resultados: se elaboró una guía para desarrollar revisiones sistemáticas de estudios observacionales. Se sistematizó diversa información sobre varias etapas y requisitos para realizar una revisión sistemática basada en directrices y herramientas internacionales, con el objetivo de garantizar el rigor científico en los manuscritos redactados por profesionales del área de salud. Conclusión: este estudio representa un innovador aporte a la investigación en el área de salud porque sintetiza las pautas sobre el método y los enfoques de las revisiones sistemáticas. Las referencias utilizadas en este trabajo son un buen punto de partida para comprender los procedimientos y las herramientas internacionales necesarios para una revisión sistemática de estudios observacionales.

RESUMO Objetivo: descrever um guia para o desenvolvimento de revisões sistemáticas de estudos observacionais, sistematização de orientações e ferramentas internacionais, com foco em evidências para inovação e prática clínica. Método: este estudo teórico-conceitual foi iniciado durante o desenvolvimento de uma revisão sistemática com metanálise de estudos observacionais em que foram usadas diretrizes e ferramentas internacionais. Resultados: foi construído um guia para desenvolver revisões sistemáticas de estudos observacionais. Foram sistematizadas informações sobre várias etapas e requisitos para realizar revisão sistemática pautada em diretrizes e ferramentas internacionais, visando rigor científico nos manuscritos redigidos por profissionais da área da saúde. Conclusão: este estudo é uma contribuição à pesquisa na área da saúde que inova ao sintetizar a orientação sobre o método e abordagens de revisão sistemática. As referências aqui usadas são um ponto de partida para compreender os procedimentos e ferramentas internacionais necessários a uma revisão sistemática de estudos observacionais.

Análise da clareza metodológica como dimensão de qualidade do Cadastro Nacional de Estabelecimentos de Saúde / Analysis of methodological clarity as a quality dimension of the National Register of Health Establishments

RESUMO Este artigo analisa a dimensão de qualidade clareza metodológica do Cadastro Nacional de Estabelecimentos de Saúde (CNES), considerando a abordagem das formas de contratação inseridas no sistema. Trata-se de uma pesquisa documental com abordagem qualitativa, que analisou o CNES e seus documentos. Foram selecionados os documentos que contemplaram os descritores: tabela de vínculos de profissionais e/ou formas de contratação. A partir do conceito adotado para a dimensão de qualidade clareza metodológica, foram delineadas as categorias acessibilidade, conteúdo, variáveis, linguagem e usabilidade. No período de 2005 a 2020, foram publicados 17 documentos. Desses, três documentos se sobressaíram: o Leia-me da versão, a Tabela de Domínios e o Manual de preenchimento do CNES. O site do CNES passava por uma reestruturação, e nem todas as funcionalidades estavam devidamente implementadas. O site atual apresentou uma interface mais moderna e de fácil compreensão. A mudança da variável esfera administrativa para natureza jurídica, em 2015, pode dificultar a análise em série histórica. Evidencia-se que o CNES carece de melhor atenção quanto à clareza metodológica, considerando a abordagem das formas de contratação dos profissionais de saúde, inseridas no sistema.

ABSTRACT This article analyzes the quality dimension of methodological clarity of the National Registry of Health Establishments (CNES), considering the approach to forms of contracting in the system. This is a documentary research with a qualitative approach, which analyzed the CNES and its documents. Documents that included the following were selected: table of professional relationships and/or forms of hiring. Based on the concept adopted for the dimension of methodological clarity quality, the categories accessibility, content, variables, language, and usability were outlined. In the period from 2005 to 2020, 17 documents were published. Of those, three documents stood out: The version's Readme, the Domain Table, and the CNES Filling Manual. The CNES website underwent restructuring and not all features were completed. The current website has a more modern and easy-to-understand interface. The change from the administrative sphere variable to the legal nature, in 2015, may make historical series analysis difficult. It is evident that the CNES pays more attention to methodological clarity, considering the approach to the ways of hiring health professionals, included in the system.

A Nonlinear Identification Approach for Gait Analysis of Amyotrophic Lateral SclerosisPatients

Gait data analysis, is giving mixing results regarding locomotion changes associated to Amyotrophic Lateral Sclerosis (ALS) development; the need has been claimed for new tools. We applied a nonlinear identification approach to the study of gait data from both healthy and ALS patients, available from Physionet.org. Kernel nonparametric nonlinear autoregression allowed to obtain noise-free realizations (NFR) that mimicked original traces, though correlation between original data and corresponding NFR was lower among ALS patients (p=0.03), suggesting a higher contribution of stochastic influences. Visual inspection of phase portraits, reconstructed from NFR via Takens theorem application, suggested dynamics differences between control subjects and patients. This was confirmed when phase portrait features were quantified and submitted to discriminant analysis (89% of correct classifications; 24/28). Application of a nonlinear dissimilarity measure for comparing pairs gait recordings, defined as a distance between underlying nonlinear autoregressive functions allowed an excellent separation between ALS and controls, via multidimensional scaling. Obtained projection map clearly suggested that ALS traces lay in a narrower dynamical space. This might reflect the known fact about neuronal degeneration accompanying ALS progression. When dissimilarity matrix principal components were introduced as predicting variables, discriminant analysis yielded an 82% of correct classifications (23/28). Overall, our results suggest that a nonlinear identification approach, centered in the characterization of the dynamics of the gait process can bring new insights to gait data interpretation.

El análisis de datos de la marcha, está dando resultados mixtos con respecto a los cambios de locomoción asociados con el desarrollo de la esclerosis lateral amiotrófica (ELA). Se ha reivindicado la necesidad de nuevas herramientas de análisis de datos de la marcha. Aplicamos un enfoque de identificación no lineal al estudio de los datos de la marcha de pacientes sanos y con ELA, disponibles en Physionet.org. La auto-regresión no lineal no paramétrica del núcleo, permitió obtener realizaciones libres de ruido (NFR) que imitaban las trazas originales, aunque la correlación entre los datos originales y la NFR correspondiente fue menor entre los pacientes con ELA (p = 0,03), lo que sugiere una mayor contribución de las influencias estocásticas. La inspección visual de los retratos de fase, reconstruidos a partir de NFR mediante la aplicación del teorema de Takens, sugirió diferencias dinámicas entre los sujetos de control y los pacientes. Esto se confirmó cuando se cuantificaron las características del retrato de fase y se sometieron a un análisis discriminante (89 % de clasificaciones correctas; 24/28). La aplicación de una medida de disimilitud no lineal para comparar registros de marcha de pares, definida como una distancia entre funciones auto-regresivas no lineales subyacentes, permitió una excelente separación entre ALS y controles, a través de una escala multidimensional. El mapa de proyección obtenido sugirió claramente que las huellas de ALS se encuentran en un espacio dinámico más estrecho. Esto podría reflejar el hecho conocido sobre la degeneración neuronal que acompaña a la progresión de la ELA. Cuando se introdujeron los componentes principales de la matriz de disimilitud como variables predictoras, el análisis discriminante arrojó un 82% de clasificaciones correctas (23/28). En general, nuestros resultados sugieren que un enfoque de identificación no lineal, centrado en la caracterización de la dinámica del proceso de la marcha, puede aportar nuevos conocimientos a la interpretación de los datos de la marcha.

Review on Applicability of Bioinformatics in Current Research and Database Management

A generation of new science has evolved with the development of bioinformatics and computational biology, which have molecular biology as an integrated part. In the past decade, technological advances have promoted a prominent development in expertise and knowledge in the molecular basis of phenotypes. In Bioinformatics, biological data is evaluated by computational science and processed in a more statistical and meaningful way. It includes the collection classification storage and evaluation of biochemical and organic statistics using computers in particular as implemented in molecular genetics and genomics. Computational Biology and Bioinformatics are emerging branches of science and include the use of techniques and concepts from informatics statistics, mathematics, chemistry, biochemistry, physics and linguistics. Therefore, bioinformatics and computational biology have sought to triumph over many challenges of which a few are listed in this overview. This evaluation intends to provide insight into numerous bioinformatics databases and their uses in the analysis of biological records exploring approaches emerging methodologies strategies tools that can provide scientific meaning to the information generated.

Advances in methods and applications of single-cell Hi-C data analysis / 生物医学工程学杂志

Chromatin three-dimensional genome structure plays a key role in cell function and gene regulation. Single-cell Hi-C techniques can capture genomic structure information at the cellular level, which provides an opportunity to study changes in genomic structure between different cell types. Recently, some excellent computational methods have been developed for single-cell Hi-C data analysis. In this paper, the available methods for single-cell Hi-C data analysis were first reviewed, including preprocessing of single-cell Hi-C data, multi-scale structure recognition based on single-cell Hi-C data, bulk-like Hi-C contact matrix generation based on single-cell Hi-C data sets, pseudo-time series analysis, and cell classification. Then the application of single-cell Hi-C data in cell differentiation and structural variation was described. Finally, the future development direction of single-cell Hi-C data analysis was also prospected.

Relationship between 24 hour movement behavior and obesity indicators in children and adolescents / 中国学校卫生

Objective@#The method of compositional data analysis was used to explore the relationship between 24 hour movement behavior and obesity indicators, and to examine the difference of quantitative effect on obesity indicators when one behavior replaced another behavior, so as to provide specific movement behavior advice for weight control in children and adolescents.@*Methods@#In June 2021, 231 students from eight classes in a primary school and a middle school in Taiyuan City, Shanxi Province were voluntarily recruited by using random cluster sampling. ActiGraph GT3X+ accelerometer was used to measure 24 hour movement behavior and Inbody J20 body composition analyzer was used to measure body composition. The relationship between each component and obesity indicators was analyzed by compositional multivariate linear regression model. In addition, 30 minutes of one behavior was used to replace another behavior to predict the effect difference of the outcomes.@*Results@#After adjusting for covariates such as height, weight, age, and sex, compared with time spent in sedentary behavior(SB), sleep (SLP) and light physical activity (LPA), time spent on moderate to vigorous physical activity (MVPA) was positively correlated with fat free mass index (FFMI) ( β= 0.40, P ＜0.05), negatively correlated with waist circumference (WC) ( β=-2.50, P ＜0.05) and waist hip ratio (WHR) ( β= -0.04 , P ＜0.05). Compared with SB, SLP and MVPA, time spent on LPA was positively correlated with WHR ( β=0.06, P < 0.05 ). If MVPA of 30 min/d replaces SLP, SB, and LPA respectively, WC and WHR decrease 1.10,1.10,1.34 cm and 0.02, 0.02 ,0.02 respectively, and FFMI increases 0.19,0.19,0.15 kg/m 2 respectively.@*Conclusion@#In 24 h movement behavior, with consistent level of sedentary behavior, sleep or low intensity movement behavior, maintaining a high level of MVPA and replacing sedentary with active activities are crucial for optimal abdominal fat and fat free mass in children and adolescents.

A systematic review of the association between 24 hour movement behavior and obesity in children and adolescents / 中国学校卫生

Objective@#To systematically review the associations of physical activity (PA), sedentary behavior (SB) and sleep with obesity, as well as isotemporal substitution effects among behaviors, determined with compositional data analysis methods, to provide a reference for obesity interventions among children and adolescents.@*Methods@#Studies in the CNKI, Wanfang, PubMed, SPORTDiscus, Web of Science and Medline databases were searched from January 1, 2014 to May 1, 2022. Two experienced reviewers independently completed document screening, data extraction and quality assessment.@*Results@#Sixteen articles were included, with a methodological quality score range of 7-12 points. Moderate to vigorous physical activity (MVPA), sleep and obesity were negatively correlated, and substituting other behaviors with MVPA decreased obesity risk. The substitution time ranged from 1.5 min/day to 60 min/day. Light physical activity(LPA) and SB were positively correlated with obesity.@*Conclusion@#MVPA is the primary focus of obesity interventions in children and adolescents, and extra 60 min of MVPA per week on the existing level of physical activity may be the minimum necessary to decrease the risk of obesity.

Relationship between 24 hour movement behavior and physical fitness among pupils / 中国学校卫生

Objective@#To examine the relationship between 24 hour movement behavior and physical fitness of pupils by using compositional analyses, so as to provide a theoretical basis for physical activity promotion and physical fitness improvement.@*Methods@#By random cluster sampling method, 120 students of grade 4 and 5 from the Second Experimental Primary School of Yingze District of Taiyuan were selected. Physical fitness was evaluated by the indicators of the Protocol of National Physical Training Standard and 20 meter shuttle run. The movement behavior was measured by accelerometer. The relationship between each behavior and physical fitness was analysed by component multiple linear regression, and the effect of replacement of components on physical fitness was discussed.@*Results@#Girls 1minute situps were lower than boys（24.79±7.77，28.21±6.52），and sitting forward flexion was higher than boys[9.00（5.00，14.00），5.20（1.00，9.75）cm]（ t/Z =2.60，-3.15， P ＜0.05）. Boys showed higher light physical activity(LPA), moderate to vigorous physical activity(MVPA) and lower sedentary behavior(SB), while girls showed lower LPA, MVPA and higher SB. MVPA was positively correlated with the performance of 30 second rope skipping and 20 meter shuttle run ( β= 13.19, 7.90, P <0.05). Sleep(SLP), SB, and LPA were not significantly correlated with physical fitness. After re allocating 10 min MVPA to SB and SLP，the performance of 30 second rope skipping and 20 meter shuttle run increased by 2.25，2.28 and 1.28 ,1.34 times，respectively，while significantly decreased after reverse reallocation ( P <0.05). MVPA replaced LPA，the 20 meter shuttle run performance increased 1.46 times，while decreased significantly in reverses ( P <0.05).@*Conclusion@#MVPA is positively correlated with the speed and endurance of pupils. There are gender differences in movement behavior patterns and physical fitness. Children, especially girls, should be encouraged to raise exercise awareness and increase PA, especially MVPA.

A scientific 24 hour movement behavior guideline for the implementation of the "double reduction" policy / 中国学校卫生

Abstract@#As the compositional nature of "constant sum" of physical activity, sedentary behavior and sleep are widely recognized, the methodological and result limitations of previous studies that considered physical activity, sedentary behavior, or sleep as independent influences on physical fitness and health have been highlighted. At present,physical activity guidelines of various countries have shifted from local recommendations based on physical activity amount to global recommendations based on 24 h time frame. From the perspective of time use, the content of daily schedule of children and adolescents also has the attribute of "constant sum" of compositional data, and the reduction of students homework burden and extracurricular discipline training after "double reduction" inevitably means an increase in the time allocated to other activities. From the perspective of time use, the paper focuses on physical fitness and health promotion strategies in the context of "double reduction".

Intelligent Electrocardiogram Analysis in Medicine: Data, Methods, and Applications / 中国医学科学杂志(英文版)

Electrocardiogram (ECG) is a low-cost, simple, fast, and non-invasive test. It can reflect the heart's electrical activity and provide valuable diagnostic clues about the health of the entire body. Therefore, ECG has been widely used in various biomedical applications such as arrhythmia detection, disease-specific detection, mortality prediction, and biometric recognition. In recent years, ECG-related studies have been carried out using a variety of publicly available datasets, with many differences in the datasets used, data preprocessing methods, targeted challenges, and modeling and analysis techniques. Here we systematically summarize and analyze the ECG-based automatic analysis methods and applications. Specifically, we first reviewed 22 commonly used ECG public datasets and provided an overview of data preprocessing processes. Then we described some of the most widely used applications of ECG signals and analyzed the advanced methods involved in these applications. Finally, we elucidated some of the challenges in ECG analysis and provided suggestions for further research.

Component analysis of relationship between 24 hour movement behavior and physical fitness in college students / 中国学校卫生

Objective@#To explore the relationship between 24 hour movement behavior and physical fitness in college students, so as to provide a reference for physical fitness interventions for college students.@*Methods@#A survey was conducted from September 23 to November 12, 2022, involving 342 college students selected from one comprehensive college among Shanghai City, Hubei Province and Zhejiang Province. Accelerometers were used to measure 24 hour movement behavior, and programs specified in the National Physical Fitness Standards for Students (2014 revision) were used to evaluate physical fitness. Compositional linear regression was used to analyze the association between 24 hour movement behavior and physical fitness. The effects of compositional isotemporal substitution of 24 hour movement behavior on physical fitness were also examined.@*Results@#The geometric means for sleep, sedentary behavior, light physical activity (LPA), and moderate to vigorous physical activity (MVPA) were 515.89, 678.88 , 196.30, 48.92 min/d, respectively, and the comprehensive physical fitness score was (73.09±8.55). The proportion of participants who passed the fitness test was 72.51%. Overall, 20.76% had excellent or good scores, whereas 6.73% failed. Compositional linear regression indicated that physical fitness was significantly positively associated with MVPA ( β =2.55) and LPA ( β = 5.88 )( P <0.05), but no significantly associated with sleep ( β =-5.18) and sedentary behavior ( β =-3.24)( P >0.05). Isotemporal substitution indicated that reallocation of 15 minutes from sleep and sedentary behavior to MVPA resulted in a 0.71 and 0.64 point increase in physical fitness, respectively. Similarly, reallocating the same duration to LPA led to a 0.50 and 0.43 point increase in physical fitness, respectively. Dose response analysis revealed that the mutual substitution of LPA with sedentary behavior and sleep had symmetry, whereas the mutual substitution of MVPA with sedentary behavior and sleep had asymmetry. The effectiveness of replacing sleep or sedentary behavior with MVPA in improving physical fitness decreased with increasing allocation time, whereas the adverse effects of replacing MVPA with sleep or sedentary behavior increased with increasing allocation time.@*Conclusion@#In the context of 24 hour movement behavior, increasing the time spent on LPA and MVPA is beneficial for physical fitness among college students. It should be recommend that college students actively transition from sedentary behavior to engaging in physical activity, with a particular emphasis on incorporating MVPA.

Application and Progress of Intelligent Assistant Diagnosis in Mental Health Assessment System / 中国医疗器械杂志

The establishment of mental health assessment system provides a new way for the early diagnosis of mental health problems, in view of the growing population of mental diseases and problems and the uneven distribution of mental health resources. In the mental health assessment system, intelligent assistant diagnosis can assist or help psychiatrists improve their work efficiency. Intelligent assistant diagnosis provides technical support for predictive screening and auxiliary diagnosis of mental health problems. It is an intelligent diagnosis research based on big data analysis and machine learning in mental health assessment system. This article mainly reviews the application methods, the application progress in the field of mental health, as well as related technical issues and safety issues, and prospects the future research development.

Analysis of epidemic characteristics and related factors of norovirus in diarrhea patients in Guangxi, 2015-2020 / 中国热带医学

@#Abstract: Objective　To analyze the epidemiological characteristics and related factors of norovirus in Guangxi from 2015 to 2020, and to provide scientific recommendations for norovirus prevention and control. Methods The foodborne diseases surveillance data were collected from 11 sentinel hospitals through the National Foodborne Disease Monitoring and Reporting System from 2015 to 2020. R software with version 4.0.3 was used for descriptive and statistical analysis, including epidemic curve, chi-square test, and trend chi-square and so on. Logistic regression was used to analyze norovirus-related factors, OR values and 95% confidence intervals were calculated respectively with the statistical test level of P<0.05. Results There were 1 008 norovirus cases detected, with a detection rate of 12.75% (1 008/7 903). Children with age less than 5 years (OR=1.43, 95%CI: 1.13-1.82) and patients at age 20-45 (OR=1.45, 95%CI: 1.13-1.87) were high risk population. The detection rate was higher in autumn (OR=1.29, 95%CI: 1.08-1.53) but lower in summer (OR=0.67, 95%CI: 0.55-0.80). In addition, the tourist area (Guilin City) presented a higher detection rate than other areas (OR=1.41, 95%CI: 1.10-1.80). Aquatic products (OR=1.40, 95%CI: 1.03-1.91), meat and dairy products (OR=1.31, 95%CI: 1.06-1.61) were high-risk foods for norovirus infection. The prevention and control policies of COVID-19 can reduce the possibility of norovirus by 61% (OR=0.39, 95%CI: 0.31-0.49) showed a declining trend (Trend χ2=85.33, P<0.001). In addition, prolonged visit time can lead to 19%-23% decrease in the detection rate of norovirus (OR24-48 hours=0.81, 95%CI: 0.70-0.95; OR>48 hours=0.77, 95%CI: 0.63-0.93). Conclusions　The epidemic of norovirus presented seasonal and regional distribution in Guangxi with a declining detection rate trend in diarrhea patients during recent 6 years. Young children were high-risk population in infection norovirus. The intake of seafood can increase the risk of norovirus infection. The prevention and control policies of COVID-19 can sharply decrease the possibility of infection norovirus. The monitoring of key foods such as seafood should be strengthened, and the early screening of suspected cases should be taken. The norovirus monitoring should be improved to ensure the health of the population.

Construction and application of inflammatory bowel disease cohort database / 胃肠病学

Under the organization of Renji Hospital, Shanghai Jiao Tong University School of Medicine, a specialized disease database of inflammatory bowel disease (IBD) cohort was deployed, and a brief introduction of the database was made in this article. The IBD data set was established by referring to domestic and foreign standards. Through data extraction, cleaning, normalization and other information processing technologies, data from multi‑source heterogeneous platform were arranged to form a specialized major disease database of IBD cohort and the efficiency and quality of data collection in clinical practice, teaching and scientific research were guaranteed. The display and personalized export capacities of the database can promote the researches on IBD and assist the clinical decision‑making. It provides not only efficient, comprehensive and reliable research‑level data support for scientific research, but also a precise guidance for diagnosis and treatment of the disease. Furthermore, it can excavate the potential clinical principles based on medical big data.

Mechanism of Polygonum capitatum in treatment of Helicobacter Pylori associated gastritis by network pharmacology, microarray data analysis and molecular docking / 中国药理学通报

Aim To explore the mechanism of Polygonum capitatum(PC)in the treatment of Helicobacter Pylori associated gastritis(HAG). Methods The databases were used to identify the target of PC active compounds and HAG-related genes,and the intersection was taken to obtain the potential targets of PC treatment of HAG. The interaction network diagram of “drug-active compound-target-disease” and the protein-protein interaction(PPI)network of potential target protein interaction in HAG treated by PC were constructed by software Cytoscape 3.6.0. The important nodes in the network were screened by several topological indexes,and the GO and KEGG enrichment were analyzed by STRING database to obtain the potential signaling pathway of PC in the treatment of HAG. The binding ability of PC active components with key target proteins was observed by molecular docking method. On this basis,the related targets of PC in the treatment of HAG were verified in vivo and in vitro experiments. Results The PC active compounds and targets were identified through the database,and the “drug-active compound-target-disease” network diagram and the PPI network of potential target proteins were constructed. Combined with several topological indexes,the PPI network of potential target-protein interaction was analyzed,and 52 hub genes were screened. Further bioinformatics analysis and high-throughput sequencing revealed that PC exerted an effect on HAG through the Akt/NF-κB/NLRP3 pathway. Based on this,it was found that PC could reduce IL-18 and IL-1β in HAG GES-1 cells and HAG SD rats,up-regulate Akt and its phosphorylation level and reduce NF-κB expression,inhibit the activation of NLRP3 inflammatory body,so as to improve HAG inflammatory response. Conclusions PC could exert a therapeutic effect on HAG by activating Akt and its phosphorylation level,and inhibiting the expression of NF-κB and NLRP3 inflammasome related factors. This study provides a theoretical basis for explaining the mechanism of PC in the treatment of HAG.

The best practice for microbiome analysis using R

With the gradual maturity of sequencing technology, many microbiome studies have published, driving the emergence and advance of related analysis tools. R language is the widely used platform for microbiome data analysis for powerful functions. However, tens of thousands of R packages and numerous similar analysis tools have brought major challenges for many researchers to explore microbiome data. How to choose suitable, efficient, convenient, and easy-to-learn tools from the numerous R packages has become a problem for many microbiome researchers. We have organized 324 common R packages for microbiome analysis and classified them according to application categories (diversity, difference, biomarker, correlation and network, functional prediction, and others), which could help researchers quickly find relevant R packages for microbiome analysis. Furthermore, we systematically sorted the integrated R packages (phyloseq, microbiome, MicrobiomeAnalystR, Animalcules, microeco, and amplicon) for microbiome analysis, and summarized the advantages and limitations, which will help researchers choose the appropriate tools. Finally, we thoroughly reviewed the R packages for microbiome analysis, summarized most of the common analysis content in the microbiome, and formed the most suitable pipeline for microbiome analysis. This paper is accompanied by hundreds of examples with 10,000 lines codes in GitHub, which can help beginners to learn, also help analysts compare and test different tools. This paper systematically sorts the application of R in microbiome, providing an important theoretical basis and practical reference for the development of better microbiome tools in the future. All the code is available at GitHub github.com/taowenmicro/EasyMicrobiomeR.

Application analysis of digital neural network-based data mining method in maximizing the performance of sports training / Análise de aplicação do método de mineração de dados baseado em rede neural digital na maximização do desempenho do treinamento esportivo / Análisis de la aplicación del método de minería de datos basado en redes neuronales digitales para maximizar el rendimiento del entrenamiento deportivo

ABSTRACT Introduction: In today's rapid development of science and technology, digital network data mining technology is developing as fast as the expansion of the frontiers of science and technology allows, with a very broad application level, covering most of the civilized environment. However, there is still much to explore in the application of sports training. Objective: Analyze the feasibility of data mining based on the digital network of sports training, maximizing athletes' training. Methods: This paper uses the experimental analysis of human FFT, combined with BP artificial intelligence network and deep data mining technology, to design a new sports training environment. The controlled test of this model was designed to compare advanced athletic training modalities with traditional modalities, comparing the athletes' explosive power, endurance, and fitness. Results: After 30 days of physical training, the athletic strength of athletes with advanced fitness increased by 15.33%, endurance increased by 15.85%, and fitness increased by 14.23%. Conclusion: The algorithm designed in this paper positively impacts maximizing athletes' training. It may have a favorable impact on training outcomes, as well as increase the athlete's interest in the sport. Level of evidence II; Therapeutic studies - investigating treatment outcomes.

RESUMO Introdução: No rápido desenvolvimento atual de ciência e tecnologia, a tecnologia de mineração de dados de rede digital desenvolve-se tão rápido quanto a expansão das fronteiras da ciência e tecnologia permitem, com um nível de aplicação muito amplo, cobrindo a maior parte do ambiente civilizado. No entanto, ainda há muito para explorar da aplicação no treinamento esportivo. Objetivo: Análise de viabilidade da mineração de dados com base na rede digital da formação esportiva, maximizar o treinamento dos atletas. Métodos: Este trabalho utiliza a análise experimental da FFT humana, combinada com a rede de inteligência artificial da BP e tecnologia de mineração profunda de dados, para projetar um novo ambiente de treinamento esportivo. O teste controlado deste modelo foi projetado para comparar modalidades avançadas de treinamento atlético com as modalidades tradicionais, comparando o poder explosivo, resistência e condição física do atleta. Resultados: Após 30 dias de treinamento físico, a força atlética dos esportistas com aptidão física avançada aumentou 15,33%, a resistência aumentou 15,85%, e o condicionamento físico aumentou 14,23%. Conclusão: O algoritmo desenhado neste artigo tem um impacto positivo na maximização do treinamento dos atletas. Pode ter um impacto favorável nos resultados do treinamento, bem como aumentar o interesse do atleta pelo esporte. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.

RESUMEN Introducción: En el rápido desarrollo actual de la ciencia y la tecnología, la tecnología de extracción de datos de redes digitales se desarrolla tan rápido como lo permiten las fronteras en expansión de la ciencia y la tecnología, con un nivel de aplicación muy amplio que abarca la mayor parte del entorno civilizado. Sin embargo, aún queda mucho por explorar de la aplicación en el entrenamiento deportivo. Objetivo: Análisis de viabilidad de la minería de datos basada en la red digital de entrenamiento deportivo, maximizar la formación de los atletas. Métodos: Este trabajo utiliza el análisis experimental de la FFT humana, combinado con la red de inteligencia artificial BP y la tecnología de minería de datos profunda, para diseñar un nuevo entorno de entrenamiento deportivo. La prueba controlada de este modelo se diseñó para comparar las modalidades de entrenamiento atlético avanzado con las modalidades tradicionales, comparando la potencia explosiva, la resistencia y la forma física del atleta. Resultados: Después de 30 días de entrenamiento físico, la fuerza atlética de los atletas con un estado físico avanzado aumentó en un 15,33%, la resistencia aumentó en un 15,85% y el estado físico aumentó en un 14,23%. Conclusión: El algoritmo diseñado en este trabajo tiene un impacto positivo en la maximización del entrenamiento de los atletas. Puede tener un impacto favorable en los resultados del entrenamiento, así como aumentar el interés del atleta por el deporte. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento.

Speech-language-hearing therapists' perceptions of the characteristics of structured assessment tests proposed by current Chilean regulations / Percepción de los fonoaudiólogos en relación con las características de las pruebas estandarizadas de evaluación propuestas por la normativa vigente en Chile

ABSTRACT Purpose: to analyze the speech-language-hearing therapists' perception of structured tests proposed by the current Chilean regulations to assess and diagnose language in children. Methods: a questionnaire to assess their perception of three tests (the Test of Auditory Comprehension of Language, the revised Phonological Simplification Processes Assessment Test and the Screening Test of Spanish Grammar). Differences were contrasted with the Friedman test, and the post hoc was compared with the Wilcoxon rank sum test. Also, the Spearman´s rho coefficient was used to study the correlation between scores, setting the confidence level at 5%. Results: the revised Phonological Simplification Processes Assessment Test obtained the highest mean Likert score in most items assessed, except for the question on excessive application time. A total of 91% of participants reported the need for a digital version of the three structured tests. Lastly, the highest and most significant score correlation occurred between the Test of Auditory Comprehension of Language and the Screening Test of Spanish Grammar. Conclusion: the participants' perceptions of the revised Phonological Simplification Processes Assessment Test are more positive than those of other tests. The participants also believe that the tests should have a digital version.

RESUMEN Objetivo: analizar la percepción de los fonoaudiólogos respecto a las pruebas estructuradas propuestas por la normativa vigente en Chile utilizadas para la evaluación y diagnóstico del lenguaje infantil. Métodos: se aplicó un cuestionario para evaluar la percepción de las tres pruebas (Test de comprensión auditiva del lenguaje, Test para evaluar procesos de simplificación fonológica y Screening Test of Spanish Grammar) y contrastar sus diferencias con el test de Friedman y para comparar el post hoc se utilizó el test suma de rango de Wilcoxon. Además, se estudió la correlación de las puntuaciones con el coeficiente Rho de Spearman con nivel de confianza prefijado del 5%. Resultados: la puntuación Likert promedio más alta la obtuvo la prueba Test para evaluar procesos de simplificación fonológica revisado en la mayoría de los ítems evaluados, excepto en la pregunta relacionada al tiempo excesivo de aplicación. El 91% de los participantes expresan la necesidad de contar con una versión digital en las tres pruebas estructuradas. Finalmente, la correlación de las puntuaciones es más alta y significativa entre las pruebas: Test de comprensión auditiva del lenguaje y Screening Test of Spanish Grammar. Conclusión: la percepción de los participantes es más positiva en el Test para evaluar procesos de simplificación fonológica revisado, respecto a las otras pruebas. Finalmente, opinan que las pruebas deben ser digitalizadas.

Análisis bibliométrico de la producción científica mundial de enfermería sobre la obesidad infantil

Introducción: La obesidad es una forma de desnutrición cuyas cifras se incrementaron de manera alarmante en los últimos años. Objetivo: Analizar la producción científica realizada por profesionales de enfermería sobre la obesidad infantil en los últimos cinco años. Métodos: Se realizó un análisis bibliométrico en la base de datos Scopus. Se incluyeron artículos originales de acceso abierto, realizados por profesionales de la enfermería entre los años 2017 y 2021. Resultados: Se incluyeron 1207 artículos originales; el crecimiento anual fue de 3,7 %; el autor con mayor productividad fue Keith Godfrey de la Universidad de Southampton (n = 23; 1,91 %); se posicionó el Instituto Liggins de la Universidad de Auckland como la institución con más publicaciones (n = 13; 1,08 %) y la revista Nutrientes como la más influyente (n = 223; 18,48 %). El idioma inglés se prefirió para las publicaciones y la mayoría (n = 9) pertenecía al cuartil 1. El artículo más citado fue el de Pietrobelli y otros, publicado en el 2020 con 167,5 citas por año. Los términos más empleados por los investigadores fueron obesidad infantil, obesidad pediátrica, índice de circunferencia de cintura, actividad física y ganancia de peso corporal. Conclusiones: La producción científica de enfermería sobre obesidad infantil se ha incrementado en los últimos años; los autores e instituciones más influyentes se encuentran en Estados Unidos; las revistas más importantes publican en inglés y pertenecen al cuartil 1; los términos más empleados hacen referencia a la obesidad infantil y sus factores predictivos.

Introduction: Obesity is a form of malnutrition whose figures have increased alarmingly in recent years. Objective: To analyze the scientific production carried out by nursing professionals on childhood obesity in the last five years. Methods: A bibliometric analysis was carried out in Scopus database. Original open access articles were included, carried out by nursing professionals from 2017 to 2021. Results: One thousand two hundred seven (1207) original articles were included; the annual growth was 3.7%; the most productive author was Keith Godfrey of the University of Southampton (n = 23; 1.91%). The Liggins Institute at the University of Auckland was ranked as the institution with the most publications (n = 13; 1.08%) and Nutrients journal as the most influential (n = 223; 18.48%). The English language was preferred for the publications and the majority (n = 9) belonged to quartile 1. The most cited article was the one by Pietrobelli et al, published in 2020 with 167.5 citations per year. The terms most used by the researchers were childhood obesity, pediatric obesity, waist circumference index, physical activity and body weight gain. Conclusions: Nursing scientific production on childhood obesity has increased in recent years; the most influential authors and institutions are in the United States; the most important journals publish in English and in quartile 1; the most frequently used terms refer to childhood obesity and its predictive factors.