HPV vaccination in China based on website platform information / 上海预防医学

ObjectiveTo analyze the online public Q&A texts on HPV vaccine， focus on the important issues related to HPV vaccination and cervical cancer prevention in China， and propose strategies and suggestions. MethodsThe latent Dirichlet allocation （LDA） topic model was employed to extract key topics of 15 565 Q&A texts related to HPV vaccines from the social Q&A platform "Zhihu". The Baidu AI sentiment analysis tool was used to analyze the emotional tendencies of the texts corresponding to each topic， and the topics were classified based on the strategic coordinate method. ResultsOnline users focused on eight topics about HPV vaccine information. Among them， vaccination knowledge， HPV vaccination hesitation， and HPV vaccine development and marketing belonged to the low positivity-high negativity emotional topics， HPV infection and high-risk factors belonged to the low positivity-low negativity emotional topics， and HPV vaccine appointment channels， comparison between domestic and imported vaccines， HPV vaccines and cervical cancer prevention， and HPV vaccine types and selection were grouped under high positivity-low negativity emotional topics. ConclusionPublic concerns regarding HPV vaccines can be classified into three major dimensions： health knowledge， health beliefs， and health behaviors. Overall， the public's views and attitudes towards vaccine-related issues are not optimistic. Strengthening science publicity and education， enhancing vaccine supervision， and encouraging enterprises’ innovative research and development capability are effective strategies to improve public awareness of cervical cancer prevention and accelerate the full HPV vaccination coverage.

Flavor Characterization of Rhei Radix et Rhizoma Processed with Nine-time Repeating Steaming and Sun-drying Based on Intelligent Sensory Technology / 中国实验方剂学杂志

ObjectiveTo analyze the flavor substances and change rules of Rhei Radix et Rhizoma during the process of nine-time repeating steaming and sun-drying. MethodThe flavor response values of Rhei Radix et Rhizoma samples were obtained by using PEN3 electronic nose system. The data were processed and analyzed by principal component analysis （PCA）， linear discriminant analysis （LDA） and Loadings analysis. ResultRhei Radix et Rhizoma processed with nine-time repeating steaming and sun-drying could be effectively distinguished into two categories as the sixth sample was the turning point. The samples steamed and dried for one to five times could be grouped into one category， the other four samples were obviously distinguished from them. The main flavor components reached the maximum response in the sample processed with six-time repeating steaming and sun-drying， and its response value of inorganic sulfur compounds was about 2.7 times that of the sample processed with one-time repeating steaming and sun-drying. In addition， compared with the raw products， the flavors of Rhei Radix et Rhizoma processed with nine-time repeating steaming and sun-drying and wine stewing changed significantly， and the response value of inorganic sulfur compounds in sample processed with nine-time repeating steaming and sun-drying was about 2.2 times that of raw products. From the perspective of flavor analysis， the response values of inorganic sulfur compounds and nitrogen-oxygen compounds in sample processed with nine-time repeating steaming and sun-drying were higher than those of wine-stewed products， and the two were not completely equivalent. ConclusionElectronic nose technology preliminarily clarifies the dynamic change rules of the flavor of Rhei Radix et Rhizoma during the process of nine-time repeating steaming and sun-drying from the flavor characteristics， and clarifies the difference between products processed with nine-time repeating steaming and sun-drying and wine-stewed products from the odor characteristics， which lays a foundation for revealing the processing principle of Rhei Radix et Rhizoma processed with nine-time repeating steaming and sun-drying.

The reform of supply of public health services leading the training of sports professionals in local colleges and universities in the background of healthy china / A reforma da oferta dos serviços de saúde pública nas escolas e universidades locais no contexto da china saudável / La reforma del lado de la oferta de los servicios de salud pública para la formación de profesionales del deporte en las universidades locales en el marco de una china saludable

ABSTRACT With the continuous expansion of public health services, the output of sports talents under the existing training mode of sports talents in Colleges and Universities has been unable to meet the market demand of social sports, so it is inevitable to optimize the existing talent training mode. Based on the original "dual system" teaching mode of college sports talents, this study incorporated the LDTA model to optimize and adjust it, so as to establish a new college sports talent training system. In order to prove the feasibility of the new sports talent training system, after analyzing the market economy of the local social sports industry and the basic situation of students, this paper studies the application of the new sports talent training system to the practical teaching of physical education students in 2017 in university X from 2019 to the first half of 2020, and compares the final scores of the students under the original teaching mode and the new sports talent training system. At present, the students' final scores under the new PE talent training system are generally higher than those under the original teaching mode. It is also found that for some practical skills courses, the students' performance under the new PE talent training system is obviously better than that under the original teaching mode. All these results show that the new sports talent training system established by the research is feasible, and has high practical value for promoting the reform of the supply of sports talents in Colleges and Universities and improving the professional skills and knowledge level of sports talents.

RESUMO Com a contínua expansão do dos serviços de saúde pública, a produção de talentos esportivos sob o modo de treinamento existente em faculdades e universidades não tem atendido a demanda da indústria esportiva social, por isso é inevitável otimizar o modo de treinamento de talentos existente. Baseado no modo de ensino original dual system de talentos esportivos universitários, este estudo utilizou o modelo LDTA para otimizá-lo e ajustá-lo, de modo a estabelecer um novo sistema de treinamento de talentos esportivos universitários. A fim de provar a viabilidade do novo sistema de formação de talentos desportivos, após analisar a economia de bercado da indústria desportiva social local e a situação básica dos estudantes, este documento estuda a aplicação do novo sistema de treinamento de talentos esportivos ao ensino prático dos alunos, em 2017, da escola de educação física da Universidade X de 2019 até a primeira metade de 2020, e compara as pontuações finais dos alunos sob o modo de ensino original e o novo sistema de treinamento de talentos esportivos. Atualmente, as pontuações finais dos estudantes no âmbito do novo sistema de formação de talentos esportivos são geralmente superiores às do modo de ensino inicial. Constata-se também que, para alguns cursos de competências práticas, o desempenho dos estudantes no âmbito do novo sistema de formação de talentos esportivos é obviamente melhor do que o do modo de ensino inicial. Todos esses resultados mostram que o novo sistema de formação de talentos desportivos instituído pela investigação é viável e tem um elevado valor prático para promover a reforma da oferta de talentos desportivos nas faculdades e universidades e para melhorar as competências profissionais e o nível de conhecimentos dos talentos esportivos.

RESUMEN Con la continua expansión de los servicios de salud pública, la producción de talentos deportivos bajo el modo de entrenamiento existente en Colegios y Universidades no ha podido satisfacer la demanda del mercado de deportes sociales, por lo que es inevitable optimizar el modo de entrenamiento de talentos existente. Basado en el modo de enseñanza original de "sistema dual" de talentos deportivos universitarios, este estudio incorporó el modelo LDTA para optimizarlo y ajustarlo, a fin de establecer un nuevo sistema de entrenamiento de dichos talentos. Con el fin de demostrar la viabilidad del nuevo sistema de formación de talento deportivo, tras analizar la economía de mercado de la industria sociodeportiva local y la situación básica de los estudiantes, este trabajo estudia la aplicación del nuevo sistema de formación de talento deportivo a la docencia práctica de los estudiantes en 2017 del Colegio de Educación Física de la universidad X, y desde 2019 hasta el primer semestre de 2020, y compara los puntajes finales de los estudiantes bajo el modo de enseñanza original y el nuevo sistema de entrenamiento de talento deportivo.. En la actualidad, los puntajes finales de los estudiantes bajo el nuevo sistema de formación de talentos de educación física son generalmente más altos que los del modo de enseñanza original. También se encuentra que, para algunos cursos de habilidades prácticas, el desempeño de los estudiantes bajo el nuevo sistema de formación de talentos de educación física es obviamente mejor que el del modo de enseñanza original. Todos estos resultados muestran que el nuevo sistema de formación de talentos deportivos establecido por la investigación es factible y tiene un alto valor práctico para promover la reforma de la oferta de talentos deportivos en Colegios y Universidades y mejorar las habilidades profesionales y el nivel de conocimiento de los talentos deportivos.

Nucleosides-based identification model for Fritillariae Cirrhosae Bulbus / 中国中药杂志

A high performance liquid chromatography( HPLC) method was established for the fast,and precise determination of ten nucleosides in Fritillariae Cirrhosae Bulbus and its counterfeits. Then multivariate statistical analyses,such as clustering analysis,principal component analysis( PCA),and Fisher' s linear discriminant analysis( LDA),were conducted to establish a discriminant function model for an integrated analysis. The results indicated that data acquisition time of a single sample was shortened within 16 min by the HPLC method. In the range of 5-1 000 mg·kg~(-1),the mass concentrations of all nucleosides exhibited good linear relationships with the corresponding peak areas( R2> 0. 999). The spiked recoveries were in the range of 93. 83%-108. 9% with RSDs of0. 12%-1. 3%( n = 5). The limit of quantitation( LOQ) was 0. 98-4. 13 mg·kg~(-1). As revealed by the clustering analysis,Fritillariae Cirrhosae Bulbus and the counterfeits could be discriminated into two clusters based on the content of nucleosides. Fisher's LDA could achieve this discrimination,while PCA dimension reduction failed. The accuracy of the discriminant function model established on the screened characteristic indicators reached 97. 5%. The present study proposed a new identification method of Fritillariae Cirrhosae Bulbus with one-dimensional indicators,which is simple,accurate,and reliable. It can provide a scientific basis for further optimizing the identification techniques for Fritillariae Cirrhosae Bulbus and inspiration for quality control strategy development of Chinese medicinal materials.

Rapid identification of microbial contaminants in pharmaceutical products using a PCA/LDA-based FTIR-ATR method

Microbiological quality of pharmaceuticals is fundamental in ensuring efficacy and safety of medicines. Conventional methods for microbial identification in non-sterile drugs are widely used; however they can be time-consuming and laborious. The aim of this paper was to develop a chemometric-based rapid microbiological method (RMM) for identifying contaminants in pharmaceutical products using Fourier transform infrared with attenuated total reflectance spectrometry (FTIR-ATR). Principal components analysis (PCA) and linear discriminant analysis (LDA) were used to obtain a predictive model capable of distinguishing Bacillus subtilis (ATCC 6633), Candida albicans (ATCC 10231), Enterococcus faecium (ATCC 8459), Escherichia coli (ATCC 8739), Micrococcus luteus (ATCC 10240), Pseudomonas aeruginosa (ATCC 9027), Salmonella typhimurium (ATCC 14028), Staphylococcus aureus (ATCC 6538), and Staphylococcus epidermidis (ATCC 12228) microbial growth. FTIR-ATR spectra provide data on proteins, DNA/RNA, lipids, and carbohydrates constitution of microbial growth. Microbial identification provided by PCA/LDA based on FTIR-ATR method were compatible with those obtained using traditional microbiological methods. The chemometric-based FTIR-ATR method for rapid identification of microbial contaminants in pharmaceutical products was validated by assessing the sensitivity (93.5%), specificity (83.3%), and limit of detection (17-23 CFU/mL of sample). Therefore, we propose that FTIR-ATR spectroscopy may be used for rapid identification of microbial contaminants in pharmaceutical products and taking into account the samples studied

Morphometric analysis of 3D soft-tissue for sexual dimorphism in human face / Análisis morfométrico de tejidos blandos 3D de dimorfismo sexual en rostro humano

Sexual dimorphism in Homo-sapiens is a phenomenon of a direct product of evolution by natural selection where evolutionary forces acted separately on the sexes which brought about the differences in appearance between male and female such as in shape and size. Advances in morphometrics have skyrocketed the rate of research on sex differences in human and other species. However, the current challenges facing 3D in the acquisition of facial data such as lack of homology, insufficient landmarks to characterize the facial shape and complex computational process for facial point digitization require further study in the domain of sex dimorphism. This study investigates sexual dimorphism in the human face with the application of Automatic Homologous Multi-points Warping (AHMW) for 3D facial landmark by building a template mesh as a reference object which is thereby applied to each of the target mesh on Stirling/ESRC dataset containing 101 subjects (male = 47, female = 54). The semi-landmarks are subjected to sliding along tangents to the curves and surfaces until the bending energy between a template and a target form is minimal. Principal Component Analysis (PCA) is used for feature selection and the features are classified using Linear Discriminant Analysis (LDA) with an accuracy of 99.01 % which demonstrates that the method is robust.

El dimorfismo sexual en el Homo-sapiens es un fenómeno directo de la evolución por selección natural, donde las fuerzas evolutivas actuaron por separado en los sexos, lo que provocó las diferencias en la apariencia entre hombres y mujeres, tal como la forma y tamaño. Los avances en el área de la morfometría, han generado un aumento significativo de las investigaciones en las diferencias de sexo en humanos y otras especies. Sin embargo, los desafíos actuales que enfrenta el 3D en el análisis de datos faciales, como la falta de homología, puntos de referencia insuficientes para caracterizar la forma facial y la complejidad del proceso computacional para la digitalización de puntos faciales, requiere un estudio adicional en el área del dimorfismo sexual. Este estudio investiga el dimorfismo sexual en el rostro humano con la aplicación de la deformación automática de múltiples puntos homólogos para el hito facial 3D, mediante la elaboración de una malla de plantilla como objeto de referencia, y se aplica en cada una de las mallas objetivas en el conjunto de datos Stirling / ESRC que contiene 101 sujetos (hombre = 47, mujer = 54). Los semi-puntos de referencia se deslizan a lo largo de las tangentes a las curvas y superficies hasta que la energía de flexión entre una plantilla y una forma objetivo es mínima. El análisis de componentes principales (PCA) se utiliza para la selección de características y las características se clasifican mediante el análisis discriminante lineal (ADL) con una precisión del 99,01 %, lo que demuestra la validez del método.

Study on the Subject M ining and Quantitative Evaluation o f Biomedical Industry Policy in National High-tech Industrial Development Zone / 中国药房

OBJECTIVE：To prov ide re ference for the development of biomedical industry in China. METHODS ：The policies and documents issued by 169 national high-tech industrial development zone （hereinafter reffered to as “National high-tech zone ”） official websites from Jan. 2010 to Dec. 2019 were collected to screen policies specifically for the biomedical industry and the development policy of biomedical industry mentioned in all industrial policies. Excel 2019 software was used to summarize and analyze policy information. Gensim package was used to preprocess the policy texts and construct LDA topic model to extract the potential semantic information from the policy texts. RESULTS ：A total of 518 policy texts were collected ，including 58 617 effective words ；high-frequency words included project ，talent，support，subsidy，innovation，etc.；8 themes were extracted ， ranked by theme intensity as technological innovation ，talent construction ，financing support ，project financial support ，tax incentives，resource guidance ，export trade ，and construction of small and medium-sized enterprises ，with the intensities of 0.299， 0.168，0.134，0.116，0.113，0.063，0.058 and 0.049，respectively. CONCLUSIONS ：The biomedical industry policy of the national high-tech zone is mainly based on technological innovation ，talent construction and financing support ，and lacks attention to the construction of small and medium-sized enterprises ，resource guidance ，and export trade. In the future ，the national high-tech zone ’s policy support and system construction for the biomedical industry should focus on improving policy incentives and balancing the proportion of policy applications in various fields ；encourage enterprises to expand overseas markets ，learn overseas advanced technologies ，and strengthen multilateral cooperation in scientific research and other fields ；support the corresponding policies to enhance exchanges and cooperation between enterprises ，give play to the leading role of leading enterprises and famous brand products ，and promote the development of small and medium-sized enterprises.

Species Determination and Discrimination of Animal Blood: A Multi-Analytical Spectroscopic-Chemometrics Approach in Forensic Science

@#Introduction: Non-destructive analysis of biological evidence has been paramount importance in the forensic investigation since it is an effective tool in establishing a standard that could be employed to differentiate ensuing destructive tests of bio-fluids upon sample division between the plaintiff and defendant. Species identification of bloodstain found at the crime scene is very crucial in routine forensic work as this can assist the initial investigation by incorporating or excluding stain that is not human and to identify its origin if animal blood is involved. Methods: In this research, identification and discrimination of various blood species collected from seven domestic animals namely chicken, cow, deer, duck, fish, goat, and pig were investigated using non-destructive analytical techniques; ATRFTIR and visible spectroscopy coupled with principal component analysis and linear discriminant analysis (PCALDA) for classification purposes. Results: ATR-FTIR FTIR spectroscopic study demonstrated a higher rate of successful classification (≥ 90%) as compared to visible spectroscopic technique. Conclusion: ATR-FTIR spectroscopy has been an ideal, robust, and suitable tool for determining the blood species of domestic animals. The predictive model from PCA-LDA analysis can be utilised to produce higher classification rate for species determination from blood traces.

Forensic Analysis of Accelerant on Different Fabrics Using Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) and Chemometrics Techniques

@#Introduction: Accelerants and fabrics are commonly used to spread fire attributable to their highly flammable properties. Hence, having the ability to discriminate the different types of accelerants on various types of fabrics after fire and/or arson using the non-destructive Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy coupled with chemometric techniques appears forensically relevant. Methods: Six types of fabrics viz. cotton, wool, silk, rayon, satin, and polyester, were burnt completely with RON95 and RON97 gasoline as well as diesel. Subsequently, the samples were analyzed by ATR-FTIR spectroscopy followed by Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for discriminating the different types of accelerants on such burned fabrics. Results: RON95 showed the fastest rate of burning on all fabric types. Results also revealed that while wool had the slowest burning rate for all the three different accelerants, polyester, cotton, and satin demonstrated the highest rate of burning in RON95, RON97, and diesel, respectively. FTIR spectra revealed the presence of alkane, alcohol, alkene, alkyne, aromatic, and amine compounds for all fabrics. The two dimensional PCA (PC1 versus PC2) demonstrated 71% of variance and it was improved by cross-validation through the three dimensional LDA technique with correct classification of 77.8%. Conclusion: ATR-FTIR spectroscopy coupled with chemometric techniques had enabled identification of the functional groups, as well as statistically supported discrimination of the different accelerants, a matter of relevance in forensic fire and arson investigations.

Monosaccharide analysis and fingerprinting identification of polysaccharides from Poria cocos and Polyporus umbellatus by HPLC combined with chemometrics methods / 中草药·英文版

Objective: Poria cocos and Polyporus umbellatus are similar medicinal fungi in traditional Chinese medicines. A method for fingerprint analysis of monosaccharide composition of polysaccharides by HPLC combined with chemometrics methods has been developed for characterization and discrimination of them in this research. Methods: The polysaccharides were extracted by decocting in water, and then completely hydrolyzed with hydrochloride. Monosaccharides in the hydrolyzates were derivatized with 1-phenyl-3-methyl-5-pyrazolone (PMP) for HPLC analysis. More than 20 batches of P. cocos and P. umbellatus from different regions were analyzed. Results: The fingerprints of P. cocos showed five common characteristic peaks, which were identified by comparing with the reference substances. The five peaks corresponded to the derivatives of mannose, ribose, glucose, galactose, and fucose. At the same time, the fingerprints of P. umbellatus showed eight common characteristic peaks, of which seven were identified as the derivatives of mannose, ribose, rhamnose, glucose, galactose, xylose, and fucose. Moreover, the similarity of their fingerprints was respectively calculated by the Similarity Evaluation System for Chromatographic Fingerprint of TCM published by China Pharmacopoeia Committee (Version 2004A). And the data were further processed by hierarchical cluster analysis (HCA) and principal component analysis (PCA). The similarity evaluation and HCA indicated that there were no significant difference in P. cocos or P. umbellatus samples from different geographical regions, but PCA was performed to characterize the difference in monosaccharide constituents between P. cocos and P. umbellatus, and linear discriminant analysis (LDA) showed the overall correct classification rate was 100%. Conclusion: The fingerprint analysis method of monosaccharide composition of water-soluble polysaccharides can distinguish P. cocos and P. umbellatus, and can be applied for the authentication or quality control for P. cocos and P. umbellatus.

Rapid identification of microbial contaminants in pharmaceutical products / Identificação rápida de contaminantes microbianos em produtos farmacêuticos

A qualidade microbiológica de medicamentos é fundamental para garantir sua eficácia e segurança. Os métodos convencionais para identificação microbiana em produtos não estéreis são amplamente utilizados, entretanto são demorados e trabalhosos. O objetivo deste trabalho é desenvolver método microbiológico rápido (MMR) para a identificação de contaminantes em produtos farmacêuticos utilizando a espectrofotometria de infravermelho com transformada de Fourier com reflectância total atenuada (FTIR-ATR). Análise de componentes principais (PCA) e análise de discriminantes (LDA) foram utilizadas para obter um modelo de predição com a capacidade de diferenciar o crescimento de oriundo de contaminação por Bacillus subtilis (ATCC 6633), Candida albicans (ATCC 10231), Enterococcus faecium (ATCC 8459), Escherichia coli (ATCC 8739), Micrococcus luteus (ATCC 10240), Pseudomonas aeruginosa (ATCC 9027), Salmonella Typhimurium (ATCC 14028), Staphylococcus aureus (ATCC 6538) e Staphylococcus epidermidis (ATCC 12228). Os espectros de FTIR-ATR forneceram informações quanto à composição de proteínas, DNA/RNA, lipídeos e carboidratos provenientes do crescimento microbiano. As identificações microbianas fornecidas pelo modelo PCA/LDA baseado no método FTIR-ATR foram compatíveis com aquelas obtidas pelos métodos microbiológicos convencionais. O método de identificação microbiana rápida por FTIR-ATR foi validado quanto à sensibilidade (93,5%), especificidade (83,3%) e limite de detecção (17-23 UFC/mL de amostra). Portanto, o MMR proposto neste trabalho pode ser usado para fornecer uma identificação rápida de contaminantes microbianos em produtos farmacêuticos

Microbiological quality of pharmaceuticals is fundamental in ensuring efficacy and safety of medicines. Conventional methods for microbial identification in non-sterile drugs are widely used, however are time-consuming and laborious. The aim of this paper was to develop a rapid microbiological method (RMM) for identification of contaminants in pharmaceutical products using Fourier transform infrared with attenuated total reflectance spectrometry (FTIR-ATR). Principal components analysis (PCA) and linear discriminant analysis (LDA) were used to obtain a predictive model with capable to distinguish Bacillus subtilis (ATCC 6633), Candida albicans (ATCC 10231), Enterococcus faecium (ATCC 8459), Escherichia coli (ATCC 8739), Micrococcus luteus (ATCC 10240), Pseudomonas aeruginosa (ATCC 9027), Salmonella Typhimurium (ATCC 14028), Staphylococcus aureus (ATCC 6538), and Staphylococcus epidermidis (ATCC 12228) microbial growth. FTIR-ATR spectra provide information of protein, DNA/RNA, lipids, and carbohydrates constitution of microbial growth. Microbial identification provided by PCA/LDA based on FTIR-ATR method were compatible to those obtained using conventional microbiological methods. FTIR-ATR method for rapid identification of microbial contaminants in pharmaceutical products was validated by assessing the sensitivity (93.5%), specificity (83.3%), and limit of detection (17-23 CFU/mL of sample). Therefore, the RMM proposed in this work may be used to provide a rapid identification of microbial contaminants in pharmaceutical products

Classification of Imaginary Motor Task from Electroencephalographic Signals: A Comparison of Feature Selection Methods and Classification Algorithms / Clasificación de una Motricidad Imaginaria por medio de Señales Electroencefalográficas: Una Comparación de Métodos de Selección de Características y Algoritmos de Clasificación

Abstract: In this work, a Brain Computer interface able to decode imagery motor task from EEG is presented. The method uses time-frequency representation of the brain signal recorded in different regions of the brain to extract important features. Principal Component Analysis and Sequential Forward Selection methods are compared in their ability to represent the feature set in a compact form, removing at the same time unnecessary information. Finally, two method based on machine learning are implemented for the task of classification. Results show that it is possible to decode the mental activity of the subjects with accuracy above 80%. Furthermore, visualization of the main components extracted from the brain signal allow for physiological insights on the activity that take place in the sensorimotor cortex during execution of imaginary movement of different parts of the body.

Resumen: En este trabajo es presentada una Interfaz Cerebro Computadora que tiene la capacidad de decodificar actividades motrices. El método utiliza representación en el dominio de la frecuencia y el tiempo de las señales del cerebro grabadas en distintas regiones de este mismo, con el fin de extraer características importantes. Los métodos: Análisis de Componentes Principales y Selección Secuencial, son comparados en términos de su capacidad para representar características de la señal de una forma compacta, removiendo de esta forma, información innecesaria. Finalmente, dos métodos basados en aprendizaje de máquinas fueron implementados para la clasificación de actividades motrices utilizando solo las señales cerebrales. Los resultados muestran que es posible decodificar la actividad mental en los sujetos con una precisión superior al 80%. Además, la visualización de las componentes principales extraídas de las señales del cerebro permite un analísis de la actividad que toma lugar en la corteza cerebral sensorimotora durante la ejecución de la imaginación de movimientos de distintas partes del cuerpo.

Characterization of the respiratory pattern in patients with chronic heart failure applying joint symbolic dynamics / Caracterización del patrón respiratorio de pacientes con insuficiencia cardíaca crónica mediante análisis de dinámica simbólica conjunta

Abstract: This work proposes a method to characterize the respiratory pattern of patients with chronic heart failure (CHF) to determine non-periodic breathing (nPB), periodic breathing (PB) and Cheyne-Stokes respiration (CSR) through non-linear, symbolic analysis of biological signals. A total of 43 patients were examined for their cardiorespiratory profiles, their ECG and respiratory pattern signals were processed, analyzed and studied for parameters that could be of potential use in clinical decision making, specifically in patient classification. Patients in the study were characterized through their cardiorespiratory signals, applying joint symbolic dynamics (JSD) analysis to cardiac beat and respiratory interval durations. The most statistically significant parameters across all groups were identified through a Kruskal-Wallis two tailed test (α = 0.05) and a linear discriminant analysis (LDA) classification method based on such parameters was developed. The best result achieved with this classification method uses 10 features to discriminate patients with a 97.67% Accuracy (Acc). The best features to discriminate among groups are related to cardiorespiratory interaction rather than just respiration patterns alone. Results further support the idea that abnormal breathing patterns derive from physiological abnormalities in chronic heart failure.

Resumen: El trabajo propone un método para identificar el patrón respiratorio de pacientes con insuficiencia cardiaca crónica (CHF) con la finalidad de determinar respiración no periódica (NPB), respiración periódica (PB) y respiración de Cheyne-Stokes (CSR) a través de análisis simbólico no lineal de señales biológicas. Se examinaron los perfiles cardiorrespiratorios de 43 pacientes; sus señales de ECG y patrón respiratorio fueron procesados, analizados y estudiados en busca de parámetros que pudieran ser de utilidad, específicamente en la clasificación de pacientes. Estos pacientes se caracterizaron por medio de sus señales cardiorrespiratorias, aplicando un análisis de dinámica simbólica de conjuntos al ritmo cardíaco y a la duración de los intervalos respiratorios. Los parámetros de mayor significancia estadística entre todos los grupos se identificaron a través de una prueba Kruskal-Wallis de dos colas ( α = 0,05) y mediante un método de clasificación por análisis discriminante lineal (LDA). El mejor resultado conseguido con este método utiliza 10 características para discriminar a los pacientes con una precisión de 97,67% (Acc). Las características para discriminar entre grupos estuvieron relacionados con la interacción cardiorrespiratoria más que con solo los patrones de respiración, respaldando así la idea de que los patrones de respiración anormales derivan de anomalías fisiológicas presentes en la insuficiencia cardíaca crónica.

A standardization model based on image recognition for performance evaluation of an oral scanner

PURPOSE: Accurate information is essential in dentistry. The image information of missing teeth is used in optically based medical equipment in prosthodontic treatment. To evaluate oral scanners, the standardized model was examined from cases of image recognition errors of linear discriminant analysis (LDA), and a model that combines the variables with reference to ISO 12836:2015 was designed. MATERIALS AND METHODS: The basic model was fabricated by applying 4 factors to the tooth profile (chamfer, groove, curve, and square) and the bottom surface. Photo-type and video-type scanners were used to analyze 3D images after image capture. The scans were performed several times according to the prescribed sequence to distinguish the model from the one that did not form, and the results confirmed it to be the best. RESULTS: In the case of the initial basic model, a 3D shape could not be obtained by scanning even if several shots were taken. Subsequently, the recognition rate of the image was improved with every variable factor, and the difference depends on the tooth profile and the pattern of the floor surface. CONCLUSION: Based on the recognition error of the LDA, the recognition rate decreases when the model has a similar pattern. Therefore, to obtain the accurate 3D data, the difference of each class needs to be provided when developing a standardized model.

Influences of the signal border extension in the discrete wavelet transform in EEG spike detection

Abstract Introduction The discrete wavelet transform is used in many studies as signal preprocessor for EEG spike detection. An inherent process of this mathematical tool is the recursive wavelet convolution over the signal that is decomposed into detail and approximation coefficients. To perform these convolutions, firstly it is necessary to extend signal borders. The selection of an unsuitable border extension algorithm may increase the false positive rate of an EEG spike detector. Methods In this study we analyzed nine different border extensions used for convolution and 19 mother wavelets commonly seen in other EEG spike detectors in the literature. Results The border extension may degrade an EEG spike detector up to 44.11%. Furthermore, results behave differently for distinct number of wavelet coefficients. Conclusion There is not a best border extension to be used with any EEG spike detector based on the discrete wavelet transform, but the selection of the most adequate border extension is related to the number of coefficients of a mother wavelet.

Exploration and Analysis of Identification Methods for Research Fronts / 医学信息学杂志

〔Abstract〕 The paper summarizes identification methods for research fronts , including the method based on bibliometrics and the au-tomatic and semi-automatic methods based on computers .Their respective advantages and disadvantages are noted and it is suggested that such tools as semantic network should be utilized to identify research fronts in a deeper and more accurate manner .

GMM y LDA aplicado a la detección de enfermedades pulmonares / GMM and LDA Applied to Lung Diseases Detection

El propósito de este artículo es presentar metodologías que pueden ser usadas para la valoración cuantitativa de los sonidos del pulmón, así como los indicadores de desórdenes respiratorios. En este contexto, se realizaron experimentos utilizando señales normales y anormales de la respiración (LS), las cuales fueron modeladas y evaluadas utilizando principalmente la base de datos RALE y señales de sujetos saludables y no saludables, logrando hasta un 98% de eficiencia. En la práctica médica la evaluación de enfermedades respiratorias involucra a la auscultación, pero la aplicación de métodos de análisis cuantitativos de señales podría mejorar estas valoraciones. En particular, se sugiere una metodología de evaluación acústica basada en representaciones de vectores acústicos MFCC (Coeficientes Cepstrales en Frecuencia Mel), GMM (Modelos Mezclados Gaussianos) y LDA (Análisis Discriminante Lineal). Estas técnicas podrían asistir en un análisis más amplio, identificación y diagnóstico de desórdenes pulmonares manifestados por sonidos respiratorios peculiares tales como sibilancias, crepitancias y asma, y distinguiéndolos de los sonidos respiratorios normales.

This study presents experimentally tested methods, which can be used for a quantitative assessment of respiratory sounds as the indicators of pulmonary disorders. In particular, conducted experiments considered both normal and abnormal lung sounds (LS). As a part of the RALE Database, signals were recorded from healthy subjects and those with respiratory disorders. Current medical practices including evaluation of respiratory diseases often involve qualitative and frequently subjective auscultation. However, the application of quantitative signal analysis methods could improve the assessments of these diseases. In particular, we utilized acoustic evaluation methodologies based on the MFCC (Mel frequency Cepstral Coefficients) acoustic vectors representation, GMM (Gaussian Mixed Models), and LDA (Linear Discriminant Analysis). To assure the validity of determined class models representing diagnostic classification, the LS signals were cross validated within sequential sets of respiratory cycles for a given subject as well as cross correlated within the specific groups of subjects representing particular conditions of normal or given class of abnormal pulmonary functions. Higher order MFCC vectors, including 9, 10 and 11 Gaussian mixtures, resulted in improved classification of the LS attributes, reached up to 98% of efficiency recognition. This documented automated classification of LS makes it suitable for a more efficient mass screening of respiratory disorders. In particular, the presence of peculiar sounds such as crackles and wheezes lead to more robust models thus reflecting the useful applicability of the presented diagnostic tool. These techniques can assist in broader analysis, identification, and diagnosis of pulmonary disorders manifested by peculiar auscultatory findings.