Aplicación de sistemas fuzzy para la toma de decisiones del Plan Paso a Paso: análisis de los indicadores para la comuna de Valdivia / Artificial intelligence fuzzy system for the design of confinements during quarantines

BACKGROUND: Different modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus. AIM: To analyze and compare retrospectively the implementation of the Step- to-Step plan devised by the Chilean Ministry of Health during the pandemic. To propose a decision-making path based on an artificial intelligence fuzzy system to determine confinements in specific territories. MATERIAL AND METHODS: The Step-to-Step Plan threshold values such hospital network capacity, epidemic spreading, testing and contact tracing capability were modeled using fuzzy numbers and fuzzy rule-based systems. RESULTS: Ministry of Health's decision-making opportuneness were unrelated with the Step-to-Step Plan indicators for deconfinement. Such disagreements undermined epidemiological indicators. CONCLUSIONS: Using an artificial intelligence system could improve decision-making transparency, emergency governance, and risk communication to the population.

Role of machine learning techniques in classification of peripheral pulse morphology

Recording of peripheral pulse serves as a very important and essential non-invasive tool used widely by doctors for the diagnosis of various diseases. The morphology of pulse is seen to vary as a function of time in a given individual and also from individual to individual. There are many variations in morphological patterns of peripheral pulse in different disease conditions, which lead to difficulty in accurate diagnosis. The peripheral pulse waveforms are extracted from radial arteries as time series data using a peripheral pulse analyzer which is designed on the principle of impedance plethysmography. It was first introduced by Nyober in the mid-nineteen hundreds and ameliorated further by Kubicek. It involves the recording of the instantaneous blood volume by the measurement of electrical impedance as a function of time. Therefore, the study of peripheral pulse morphology has gained much attention in the past few years among researchers. Physiological variability is one of the recent investigations added during the last two decades for the objective assessment of autonomic function and the assessment of prognosis in severe sicknesses namely myocardial infarction, diabetic neuropathy, etc. In addition to heart rate variability studied worldwide, few researchers have studied blood pressure variability and peripheral blood flow variability. In this computer era, artificial intelligence and machine learning techniques have become more important day-by- day, and different types of algorithms were used for the identification of hidden patterns from plethysmographic observations on the radial pulse such as support vector machine as well as crisp and fuzzy clustering. Eight patterns were classified with a yield of 80%–90% and helped with the diagnosis of disorders such as myocardial infarction, pulmonary tuberculosis, coronary artery disorders, cirrhosis of the liver, and bronchial asthma. This paper briefly describes the use of machine learning techniques for the classification of peripheral pulse morphologies.

Empleo de fuzzy TOPSIS en el tratamiento de seudoartrosis con células madre

Introducción: Son muy escasos los estudios publicados sobre el efecto de infiltraciones con células madres en seudoartrosis aséptica posquirúrgicas. Asimismo, los métodos tradicionales de tratamiento coadyuvante para favorecer la consolidación (esteroides anabólicos y bifosfonatos) representan elevados riesgos, rechazo e incluso abandono del tratamiento por parte del paciente. Objetivo: Jerarquizar las variables más influyentes para el tratamiento con células madre en la seudoartrosis aséptica posquirúrgica en el servicio de Ortopedia y Traumatología del Hospital General Docente "Dr. Agostinho Neto" del municipio de Guantánamo en el período de enero 2022 a enero 2023, con el empleo de la herramienta fuzzy TOPSIS. Método: Se aplicó un estudio descriptivo, con el apoyo de los métodos de proceso de jerarquía analítica difusa (fuzzy AHP) y técnica para el cumplimiento de órdenes por similitud con la solución ideal difusa (fuzzy TOPSIS), con datos del departamento de Ortopedia y Traumatología del hospital antes mencionado. El universo estuvo constituido por 50 pacientes, la muestra del estudio quedó conformada por n ꓿ 44. Resultados: Se pudieron obtener las principales variables que intervienen en un tratamiento con células madre en la seudoartrosis para garantizar el éxito en la implementación de dicho tratamiento, ellas fueron: trazo de la fractura, causa de la seudoartrosis, tipo de terapia empleada, tiempo de consolidación y grado de consolidación. Conclusiones: La jerarquización de las variables obtenidas constituirá una guía donde los servicios de Ortopedia y Traumatología del Hospital General Docente "Dr. Agostinho Neto", del municipio de Guantánamo, podrá incidir en la efectividad del tratamiento con células madre en la seudoartrosis.

Introduction: Currently there are very few published studies concerning the effect of implantations with stem cells in post-surgical aseptic pseudoarthrosis. In addition, the traditional methods of adjuvant treatment in order to improve efficacy (anabolic steroids and bisphosphonates) represent high risks, rejection and even treatment abandonment by patients. Objective: Hierarchalising the most influential variables for treatment with stem cells in post-surgical aseptic pseudoarthrosis in the Orthopedics and Traumatology service of the Hospital General Docente "Dr. Agostinho Neto", Guantánamo, from January 2022 to January 2023, with the application of the TOPSIS fuzzy method. Method: A descriptive study was applied, with the application of Fuzzy Analytical Hierarchy process methods (Fuzzy AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS), with information gathered from the Orthopedics and Traumatology department of the aforementioned hospital. The universe of study consisted of 50 patients. The study sample included n꓿44. Results: It was possible to obtain the main variables involved in the stem cell treatment for pseudarthrosis, variables with great contribution in the success of implementation of such treatment, which were as follow: fracture trace, cause of pseudarthrosis, type of therapy used, time of bone consolidation and degree in bone consolidation. Conclusions: The hierarchization of the variables obtained will constitute a guide where the Orthopedics and Traumatology services of the Hospital General Docente "Dr. Agostinho Neto", in Guantánamo municipality, will be able to influence in the efficacy of stem cell treatment for pseudarthrosis.

Introdução: Existem poucos estudos publicados sobre o efeito de infiltrações com células-tronco em pseudoartrose asséptica pós-cirúrgica. Da mesma forma, os métodos tradicionais de tratamento adjuvante para promover a consolidação (esteróides anabolizantes e bisfosfonatos) representam riscos elevados, rejeição e até abandono do tratamento por parte do paciente. Objetivo: Priorizar as variáveis de maior influência para o tratamento com células-tronco na pseudoartrose asséptica pós-cirúrgica no serviço de Ortopedia e Traumatologia do Hospital General Docente "Dr. Agostinho Neto" do município de Guantánamo no período de janeiro de 2022 a janeiro de 2023, com a utilização da ferramenta fuzzy TOPSIS. Método: Foi aplicado um estudo descritivo, com apoio dos métodos de processo hierárquico analítico fuzzy (fuzzy AHP) e da técnica de atendimento de pedidos por similaridade com a solução fuzzy ideal (fuzzy TOPSIS), com dados do Departamento de Ortopedia e Traumatologia do referido hospital. O universo foi constituído por 50 doentes, a amostra do estudo foi constituída por n꓿44. Resultados: Foi possível obter as principais variáveis que intervêm num tratamento com células estaminais na pseudoartrose para garantir o sucesso na implementação do referido tratamento, elas foram eles: linha de fratura, causa da pseudoartrose, tipo de terapia utilizada, tempo de consolidação e grau de consolidação. Conclusões: A hierarquização das variáveis obtidas constituirá um guia onde os serviços de Ortopedia e Traumatologia do Hospital General Docente "Dr. Agostinho Neto", município de Guantánamo, poderá influenciar a eficácia do tratamento com células-tronco na pseudoartrose.

Heart sound classification algorithm based on time-frequency combination feature and adaptive fuzzy neural network / 生物医学工程学杂志

Feature extraction methods and classifier selection are two critical steps in heart sound classification. To capture the pathological features of heart sound signals, this paper introduces a feature extraction method that combines mel-frequency cepstral coefficients (MFCC) and power spectral density (PSD). Unlike conventional classifiers, the adaptive neuro-fuzzy inference system (ANFIS) was chosen as the classifier for this study. In terms of experimental design, we compared different PSDs across various time intervals and frequency ranges, selecting the characteristics with the most effective classification outcomes. We compared four statistical properties, including mean PSD, standard deviation PSD, variance PSD, and median PSD. Through experimental comparisons, we found that combining the features of median PSD and MFCC with heart sound systolic period of 100-300 Hz yielded the best results. The accuracy, precision, sensitivity, specificity, and F1 score were determined to be 96.50%, 99.27%, 93.35%, 99.60%, and 96.35%, respectively. These results demonstrate the algorithm's significant potential for aiding in the diagnosis of congenital heart disease.

Occupational stress, anxiety, and depression among grassroots disease control and prevention staff in Hebei Province: A qualitative comparative analysis based on fuzzy sets / 环境与职业医学

Background Grassroots center for disease control and prevention (CDC) staff undertake intensive work of disease prevention and control, and may be susceptible to occupational stress, anxiety, depression, and other health problems. Objective To understand the current situation of occupational stress, anxiety, and depression among grassroots CDC staff, and to identify potential risk factor configurations for occupational stress, anxiety, and depression using fuzzy set qualitative comparative analysis (fsQCA), so as to provide a basis for effective intervention. Methods The staff working in county/district-level CDCs in Hebei Province were the target population of the current study. Stratified random cluster sampling method was used to select 1860 staff members of the target population. A questionnaire of general situation, Job Content Scale, 7-item Generalized Anxiety Disorder Scale, and Patient Health Questionnaire-9 were used. Risk factor configurations associated with health outcomes of interest were identified by fsQCA3.0 software. Results The positive rates of occupational stress, anxiety, and depression were 42.69%, 44.25%, and 47.96%, respectively. Marital status was a necessary condition for occupational stress, anxiety, and depression in the grassroots CDC staff (the necessity values were 0.911, 0.939, and 0.933, respectively). There were two types of risk factor configurations for occupational stress: "self-improvement" and "disease burden"; the risk factor configurations for anxiety were "disease burden" and "economic-disease burden"; while the risk factor configurations for depression were "disease burden", "economic-disease burden", and "self-improvement". The overall consistency scores of occupational stress, anxiety, and depression were 0.941, 0.820, and 0.774, respectively. Regarding outstanding components, "self-improvement" included pressure of job requirements and promotion, "disease burden" included impact of chronic illness on psychological state, and "economic-disease burden" included not only impact of chronic illness but also financial support for CDC staff. Conclusion All positive rates of occupational stress, anxiety, and depression are high among grassroots CDC staff in Hebei Province. Occupational stress, anxiety, and depression of grassroots CDC staff are the results of multiple influencing factors, so targeted intervention measures should be formulated.

Gait phase recognition in intelligent above-knee prosthesis based on fuzzy logic algorithm / 中国康复理论与实践

ObjectiveAiming at the need of control strategy switching of intelligent above-knee prosthetic, taking the plantar pressure of human walking as the research object, and based on fuzzy logic algorithm, a gait phase division method based on plantar pressure of prosthetic is proposed. MethodsThree flexible force sensors installed on the soles of the false feet were used to collect the plantar pressure information of the test object under three different walking modes (walking on the flat road, walking downhill and walking down the stairs). After data fusion processing, it was sent to the fuzzy logic controller, and the recognition results were output according to the IF-THEN rule, the scale and sensitivity factor. ResultsThrough the testing of five healthy people as substitute, the results showed that the accuracy of gait phase recognition for walking on the flat road, walking down the stairs and walking downhill were (95.3±2.4)%, (81.5±6.3)% and (90.7±3.5)%, respectively. ConclusionThe accuracy of recognition basically meets the requirements in this project. This method can be applied in the gait phase recognition of intelligent above-knee prosthetic.

Analysis of physical health test results of college students using fuzzy logic as an evaluation method / Análise dos resultados nos testes de saúde física dos estudantes universitários utilizando lógica fuzzy como método de avaliação / Análisis de los resultados en las pruebas de salud física de los estudiantes universitarios utilizando lógica difusa como método de evaluación

ABSTRACT Objective: Based on the evaluation method with fuzzy integrals, this paper analyzes the results of physical health tests of college students. Methods: Principal component analysis was used to extract the psychological factors. The evaluation model was organized into three levels to evaluate the physical health of college students. Results: The physical health status of University Q students is below average. Most of the students' physical examination results are concentrated in the passing areas, and few students have an excellent to good ratio. Conclusion: The fitness assessment model of university students, based on an assessment with fuzzy integrals, has certain generalizability and applicability. The established index system and the comprehensive evaluation model are suitable for thoroughly evaluating each student and comprehensive fitness evaluation of all boys and girls in a class or college. Level of evidence II; Therapeutic studies - investigation of treatment results.

RESUMO Objetivo: Com base no método de avaliação com integrais fuzzy, este documento analisa os resultados dos testes de saúde física dos estudantes universitários. Métodos: Foi utilizada a análise de componentes principais para extrair os fatores psicológicos. O modelo de avaliação foi organizado em três níveis para avaliar a saúde física dos estudantes universitários. Resultados: O estado de saúde física dos estudantes da Universidade Q está abaixo da média. A maioria dos resultados dos exames físicos dos estudantes está concentrada nas áreas de aprovação, e poucos estudantes têm uma proporção excelente e boa. Conclusão: O modelo de avaliação da aptidão física dos estudantes universitários, baseado em uma avaliação com integrais fuzzy, tem certa generalização e aplicabilidade. O sistema de índice estabelecido e o modelo de avaliação abrangente não só são adequados para avaliação abrangente de cada estudante, mas também para avaliação abrangente da aptidão física de todos os meninos e meninas de uma classe ou faculdade. Nível de evidência II; Estudos terapêuticos - investigação de resultados de tratamento.

Resumen Objetivo: Basándose en el método de evaluación con integrales difusas, este artículo analiza los resultados de las pruebas de salud física de los estudiantes universitarios. Métodos: Se utilizó el análisis de componentes principales para extraer los factores psicológicos. El modelo de evaluación se organizó en tres niveles para evaluar la salud física de los estudiantes universitarios. Resultados: El estado de salud física de los estudiantes de la Universidad Q está por debajo de la media. La mayoría de los resultados de los exámenes físicos de los estudiantes se concentran en las zonas de aprobado, y son pocos los que tienen una proporción excelente y buena. Conclusión: El modelo de evaluación de la aptitud física de los estudiantes universitarios basado en una evaluación con integrales difusas tiene cierta generalizabilidad y aplicabilidad. El sistema de índices establecido y el modelo de evaluación integral no sólo son adecuados para la evaluación integral de cada estudiante, sino también para la evaluación integral de la aptitud de todos los chicos y chicas de una clase o colegio. Nivel de evidencia II; Estudios terapéuticos - investigación de resultados de tratamiento.

COSINE SIMILARITY AND ITS APPLICATION BY PYTHAGOREAN FUZZY SETS

A Pythagorean fuzzy set is the successful ?eld which includes membership and non membership functions. It has been extended from intuitionistic fuzzy set. It reaches many application with the support of score, Accuracy, Distance and Similarity measures. In this paper, cosine similarity measure is used with Pythagorean fuzzy set. An algorithm is developed for proposed method. An illustrative example is included. Comparison is also made with Score, Accuracy and Similarity measure function.

Real-Time Energy Management System for Microgrids

Abstract: Microgrids (MD) is a new technology to improve efficiency, resilience, and reliability in the electricity sector. MD are most likely to have a clean energy generation, but the increase of microgrids with this kind of generation brings new challenges for energy management (EMS), especially concerning load uncertainties and variation of energy generation. In this context, this study has the main objective to propose a method of how to attend this matter, verifying the difference between the day before and real-time. The EMS proposed analyses the MD in real-time, calculating the deviation between dispatched and what was predicted to happen in the operation point in a three-dimensional analysis approach, considering renewable energy generation, battery State of Charge (SOC) and load curve. The system categorized the deviation in three possible quantities (small, medium, or high) and it acts accordingly. For the Next Operation Point predictor are used an artificial neural network (ANN) methodology. For the Decision Support System, it's used a fuzzy logic system to adjust the next operation point, and it uses a mixed-integer linear programming (MILP) approach when the deviation is too high, and the dispatched operation is unfeasible. Simulations with real data and information of a pilot project of MD are carried out to test and validate the proposed method. Results show that the methodology used to attend the matters of uncertainties and variation of energy generation. A reduction of operational cost is observed in the simulations.

Application of fuzzy comprehensive evaluation method inthe classification model for blood inventory warning in public health emergencies / 中国输血杂志

【Objective】 To establish the quantitative classification model of blood inventory warning for public health emergencies, so as to provide reference for practical application. 【Methods】 The classification model of blood inventory early warning for public health emergencies was constructed through literature review, fuzzy comprehensive evaluation method and analytic hierarchy process (AHP). The constructed model was used to conduct fuzzy comprehensive evaluation on the data of day 10 before, day 1/5/40 after the launch of Level I public health event response in Deyang Central Blood Station in 2020 and calculate the warning level. 【Results】 The warning levels of day 10 before, and day 1/5/40 after the response were blue, orange, red and blue, respectively, which were consistent with the actual situation of Deyang performing Level I public health event response at that time. 【Conclusion】 It is feasible to use fuzzy comprehensive evaluation method to build the blood inventory warning classification model in public health emergency, which provides theoretical reference for practical application.

Preliminary study on dicentric chromosome identification algorithm based on artificial intelligence technology / 中华放射医学与防护杂志

Objective:To explore artificial intelligence technology and propose an algorithm for automatic identification of dicentric chromosomes to realize fast and high-throughput biodosimetry. In order to solve the time-consuming and laborious problem of manual analysis of dicentric chromosomes.Methods:Combining artificial intelligence technology and image processing technology, based on MATLAB software, algorithms like image preprocessing, threshold segmentation algorithm, binarization processing, area identification algorithm, convolutional neural network algorithm and double centripetal recognition algorithm were applied. A fuzzy membership function was defined to describe the degree of each chromosome belonging to a dicentric chromosome, and the discrimination threshold was set to realize the automatic identification of dicentric chromosomes.Results:Through the test on 1 471 chromosome images, compared with manual recognition, the detection rate of dicentric chromosomes cells of this algorithm reached 70.7%.Conclusions:This algorithm method carries out a preliminary study on the automatic identification of dicentric chromosomes with good result.

Screening methods of traditional Chinese medicine for coronary heart disease and angina pectoris: an exploration based on core outcome set and fuzzy comprehensive evaluation / 中国中药杂志

It was pointed out in Opinions on Promoting the Inheritance, Innovation and Development of Traditional Chinese Medicine issued by the State Council in 2019 that 100 varieties of traditional Chinese medicine(TCM) with unique curative effects should be screened out within about three years. Due to the multi-component and multi-target mechanisms of TCM varieties, it is difficult to directly and simply evaluate their multi-dimensional clinical value using methods applicable to chemical or biological agents. The heterogeneity of outcomes for similar TCM makes it difficult to determine the advantages of similar products. The fuzzy comprehensive evaluation method that is developed on the basis of core outcome set and fuzzy mathematics for clinical efficacy evaluation of TCM may solve these problems. This study developed a fuzzy comprehensive evaluation model for the clinical efficacy evaluation of Chinese patent me-dicines for coronary heart disease and angina pectoris, and selected the previous normative studies with complete or incomplete data for verifying the model application. The results showed that original studies with complete data failed to evaluate and compare the comprehensive efficacy of different interventions. The original research only mentioned the advantages and disadvantages of different interventions in different aspects. The comprehensive clinical efficacy of three different interventions obtained through fuzzy comprehensive evaluation was all graded as level Ⅱ. The original research with incomplete data drew the same conclusions as the fuzzy comprehensive evaluation, and the results of fuzzy comprehensive evaluation can provide more comprehensive information. Therefore, the fuzzy comprehensive evaluation shows the products with overall advantages of clinical efficacy, which may become a feasible method for the screening of TCM.

Lógica difusa: metodología cuantitativa útil para determinar el consenso entre expertos de ciencias estomatológicas / Fuzzy logic: a useful quantitative methodology to determine consensus among dental science experts

RESUMEN La lógica difusa trata de copiar la forma en que los humanos toman decisiones. Específicamente en el área médica, se utiliza desde hace varios años en estudios aplicados a áreas como: ingeniería biomédica, sistemas expertos, modelos epidemiológicos y sistemas diagnósticos. Se confeccionó un cuestionario para medir la calidad de vida relacionada con la salud oral en adolescentes cubanos; se utilizó la lógica difusa en el proceso de validación por expertos, mediante el software PROCESA_CE (2013). En el nivel de concordancia de los expertos se rechazó la hipótesis nula de que no existe comunidad de preferencia entre ellos, para un nivel de significación de 0,01; esto garantizó, con un 99% de confiabilidad, que es posible hacer valoraciones a partir del consenso de estos expertos. Además, se corroboró la existencia de un consenso de 5 en todos los ítems.

ABSTRACT Fuzzy logic tries to copy the way humans make decisions. It has been used for several years, specifically in the medical field, in studies applied to areas such as biomedical engineering, expert systems, epidemiological models and diagnostic systems. A questionnaire was prepared to measure the quality of life related to oral health in Cuban adolescents; Fuzzy logic was used in the validation process based on expert criteria, using the PROCESA_CE (2013) software. According to expert agreements, the null hypothesis that there is no community of preference among them was rejected, for a significance level of 0.01; this guaranteed, with 99% reliability, that it is possible to make assessments based on their consensuses. In addition, the existence of a consensus of five in all items was corroborated.

Propuesta para la valoración de la gestión de riesgos de la COVID-19 con enfoque difuso / Proposal for valuation of the risk management of the COVID-19 with a diffuse / Proposta de avaliação da gestão de risco do COVID-19 com abordagem difusa

RESUMEN Introducción: el enfrentamiento a la COVID-19 impone importantes retos a los profesionales de la salud relacionados con los cuidados de la salud de la población y con la prevención y control de infecciones en la comunidad y en las instituciones de salud. Uno de los mayores retos a los que se enfrentan los hospitales es gestionar los riesgos sin que ello suponga un deterioro de la calidad percibida por el paciente y personal sanitario. Objetivo: diseñar un modelo para la gestión de riesgos epidemiológicos relacionado con la COVID-19 en consejos y unidades de salud. Métodos: se utilizó la Lógica Difusa Compensatoria como método pertinente de la modelación matemática en procesos complejos. Resultados: se tiene un modelo de decisión para la valoración de la gestión de riesgos relacionado con la COVID-19, integrado al sistema de control interno hospitalario. Conclusiones: se demostró la pertinencia de la gestión de riesgos como alternativa para exterminar la pandemia causada por el nuevo Coronavirus SARS CoV-2. Se confirma la pertinencia de la lógica difusa compensatoria para la toma de decisiones en proceso complejos. Se integró la gestión de riesgos de la COVID-19 al sistema de control interno hospitalario, permitiendo tomar estrategias para la mejora de las entidades de la salud.

ABSTRACT Introduction: the confrontation with COVID-19 imposes important challenges on health professionals related to the health care of the population and to the prevention and control of infections in the community and in health institutions. One of the biggest challenges that hospitals face is managing their risk more efficiently without this deteriorating the quality perceived by the patient and healthcare personnel. Objective: assessing the management of epidemiological risk related to COVID-19 in healt councils and units. Methods: compensatory fuzzy logic was used as a pertinent method of mathematical modeling in complex processes Results: there is a decision model for the assessment of risk management related to COVID-19, integrated into the hospital internal control system Conclusions: the relevance of risk management as an alternative to exterminate the pandemic caused by the new coronavirus SARS CoV-2was demonstrated. The pertinence of diffuse compensatory logic for decision making in complex processes is confirmed. The risk management of de covid was integrated into the hospital internal control system, allowing the desing of strategies for the improvement of health entities.

RESUMO Introdução: o enfrentamento da COVID-19 impõe desafios importantes para os profissionais de saúde relacionados à atenção à saúde da população e à prevenção e controle de infecções na comunidade e nas instituições de saúde. Um dos maiores desafios que os hospitais enfrentam é gerenciar os riscos sem causar uma deterioração na qualidade percebida pelo paciente e profissionais de saúde. Objetivo: traçarum modelo de gestão dos riscos epidemiológicos relacionados ao COVID-19 em conselhos e unidades de saúde. Métodos: A Lógica Fuzzy Compensatória foi utilizada como um método pertinente de modelagem matemática em processos complexos. Resultados: existe um modelo de decisão para avaliação do gerenciamento de riscos relacionado ao COVID-19, integrado ao sistema de controle interno do hospital. Conclusões: ficou demonstrada a relevância do gerenciamento de risco como alternativa para exterminar a pandemia causada pelo novo Coronavírus SARS CoV-2. A relevância da lógica fuzzy compensatória para a tomada de decisão em processos complexos é confirmada. A gestão de riscos do COVID-19 foi integrada ao sistema de controle interno do hospital, permitindo a adoção de estratégias de melhoria das entidades de saúde.

The construction of public sports service guarantee system in a healthy community in the background of public health / A construção de um sistema de garantia de serviço desportivo público em uma comunidade saudável no contexto da saúde pública / Construcción de un sistema de garantía de servicios deportivos públicos en comunidades urbanas saludables en el contexto de la salud pública

ABSTRACT Community sports are a very important part of urban public service. It directly affects the quality of life of residents and plays an important role in improving the health level of the masses. However, there are still many problems in the current public sports service system, which hinders the provision of public health. In order to ensure the effectiveness of the indicators of community sports service guarantee system, this study uses the fuzzy analytic hierarchy process to construct the community public sports service guarantee system, and verifies the effectiveness of the system constructed by this method through an example application. The results show that the weight of each index from large to small is service effectiveness > residents' demand > service capacity > service content; the weight of service effectiveness is 48.46%, which is an important indicator of service guarantee system. In addition, the effectiveness of the community sports service system was verified, and the CR value of the evaluation index system was greater than 0.1, which showed that the consistency of the evaluation index system met the requirements. The public sports service guarantee system constructed by the research institute has good applicability and high practical value. I hope that the research results can provide some reference for the improvement of grass-roots sports service construction, and provide some theoretical support for the construction of grass-roots service evaluation system.

RESUMO O desporto comunitário é uma parte muito importante do serviço público urbano. Afeta diretamente a qualidade de vida da população e desempenha um papel importante na melhoria do nível de saúde das massas. No entanto, ainda há muitos problemas no atual sistema de serviço público de desporto comunitário, o que dificulta a prestação da saúde pública. A fim de garantir a eficácia dos indicadores do sistema de garantia do serviço desportivo, este estudo utiliza o processo hierárquico analítico difuso para construir o sistema de garantia do serviço desportivo público e verifica a eficácia do sistema construído por este método através de uma aplicação dada como exemplo. Os resultados mostram que o peso de cada índice, de alto para baixo, é a eficácia do serviço > demanda da população > capacidade de serviço > conteúdo de serviço; o peso da eficácia do serviço é 48.46%, que é um importante indicador do sistema de garantia do serviço. Além disso, a eficácia do sistema de serviços desportivos foi verificada, e o valor CR do índice de avaliação do sistema foi superior a 0.1, o que mostrou que a consistência do sistema de índice de avaliação satisfazia os requisitos. O sistema público de garantia do serviço desportivo construído pelo instituto de pesquisa tem boa aplicabilidade e elevado valor prático. Espero que os resultados da investigação possam servir de referência para a melhoria da construção de serviços desportivos de base e proporcionar algum apoio teórico à construção de um sistema de avaliação de serviços de base.

RESUMEN Los deportes comunitarios son una parte muy importante del servicio público urbano. Afecta directamente la calidad de vida de los residentes y juega un papel importante en la mejora del nivel de salud de las masas. Sin embargo, todavía existen muchos problemas en el actual sistema público de servicios deportivos, lo que dificulta la prestación de servicios de salud pública. Con el fin de asegurar la efectividad de los indicadores del sistema de garantía del servicio deportivo comunitario, este estudio utiliza el proceso de jerarquía analítica difusa para construir el sistema de garantía del servicio público deportivo comunitario, y verifica la efectividad del sistema construido por este método a través de una aplicación de ejemplo. Los resultados muestran que el peso de cada índice, de mayor a menor, es la eficacia del servicio> la demanda de los residentes> la capacidad del servicio> el contenido del servicio; el peso de la efectividad del servicio es del 48,46%, lo que es un indicador importante del sistema de garantía del servicio. Además, se verificó la efectividad del sistema de servicios deportivos comunitarios y el valor de RC del sistema de índice de evaluación fue mayor a 0.1, lo que mostró que la consistencia del sistema de índice de evaluación cumplió con los requisitos. El sistema de garantía del servicio público de deportes construido por el instituto de investigación tiene una buena aplicabilidad y un alto valor práctico. Espero que los resultados de la investigación puedan proporcionar alguna referencia para la mejora de la construcción de servicios deportivos de base y proporcionar algún apoyo teórico para la construcción de un sistema de evaluación de servicios de base.

The construction of a professional model of physical education teachers in colleges and universities from the perspective of public health service / Construção de um modelo profissional de professores de educação física em faculdades e universidades sob a perspectiva do serviço de saúde pública / Construcción del modelo profesional de docentes de educación física en colegios y universidades desde la perspectiva del servicio de salud pública

ABSTRACT With the continuous improvement of people's material living standards, public health and national fitness has become a social topic, and has been widely concerned by the public, in terms of the traditional physical education and impact of the concept of health. This not only needs the school to carry on the multi-directional adjustment to the physical education teaching, but also needs the physical education teacher to respond positively to this in order to adapt to the development needs of the times and society. This study uses the analytic hierarchy process (AHP) to construct the professionalization model of physical education teachers in Colleges and Universities, and makes decision on the index weight of the model through fuzzy comprehensive evaluation. The results show that the weight of the first-class indicators of P.E. Teachers' professionalization model from large to small is ability > quality > knowledge, and the consistency ratio (CR) of the model indicators is less than 0.1, and the fuzzy score of the model is 85 points. Therefore, the model of P.E. Teachers' professionalization constructed in this study has consistent indicators and shows good applicability. This does not only provide the basis for the professional development evaluation of College PE teachers, but also provides research ideas for the development of the sports industry from the perspective of public health.

RESUMO Com a melhoria contínua dos padrões de vida materiais das pessoas, a saúde pública e a saúde nacional tornaram-se um tema social, e tem sido amplamente discutido pelo público, em termos de educação física tradicional e impacto do conceito de saúde, que depende não só da escola para continuar o ajuste multidirecional para o ensino de educação física, mas também precisa do professor de educação física para dar uma resposta positiva a isso, a fim de se adaptar às necessidades de desenvolvimento dos tempos e da sociedade. Este estudo utiliza o processo hierárquico analítico (AHP) para construir o modelo de profissionalização dos professores de educação física em faculdades e universidades, e toma uma decisão sobre o peso do índice do modelo através de uma avaliação abrangente. Os resultados mostram que o peso dos indicadores de primeira classe do modelo de profissionalização dos professores de grande para pequeno é a capacidade > qualidade > conhecimento, e a razão de consistência dos indicadores do modelo é menor que 0.1, e a pontuação difusa do modelo é 85 pontos. Assim, o modelo de profissionalização dos professores de educação física, construído neste estudo, tem boa consistência de indicadores e mostra boa aplicabilidade. Isto não só proporciona a base para a avaliação do desenvolvimento profissional dos professores universitários de educação física, mas também fornece ideias de investigação para o desenvolvimento da indústria desportiva sob a perspectiva da saúde pública.

RESUMEN Con la mejora continua del nivel de vida material de las personas, la salud pública y la buena condición física nacional se han convertido en un tema social, y han sido motivo de una amplia preocupación en la población, con respecto a la educación física tradicional y su impacto en el concepto de salud. Esto no solo necesita que la escuela lleve a cabo el ajuste multidireccional de la enseñanza de educación física, sino también que el docente de educación física responda positivamente para adaptarse a las necesidades de desarrollo de los tiempos y la sociedad. Este estudio utiliza el proceso de jerarquía analítica (PJA) para construir el modelo de profesionalización de los docentes de educación física en los colegios y universidades, y analiza el peso del índice del modelo a través de una evaluación integral difusa. Los resultados muestran el peso de los indicadores de primera clase del modelo de profesionalización de los docentes, de mayor a menor, es capacidad> calidad> conocimiento, y el índice de consistencia (IC) de los indicadores del modelo es menor a 0.1, y la puntuación difusa del modelo es de 85 puntos. Por tanto, el modelo de profesionalización docente construido en este estudio tiene indicadores consistentes y muestra buena aplicabilidad. Esto no solo proporciona la base para la evaluación del desarrollo profesional de los profesores de educación física universitaria, sino que también ofrece ideas de investigación para el desarrollo de la industria del deporte desde la perspectiva de la salud pública.

A Fuzzy Approach to Assess the Perception of a Rural Community Concerning the Impact of Distributed Power Generation on Local Sustainability

Abstract This paper aims to evaluate the perception of residents of a rural quilombola community, about the impacts of distributed energy generation (DG) on the social, economic and environmental dimensions. The main challenge of the proposed model was to quantify the main perceptions of the target population of the research, as well as maintain the coherence of the specifications of the sustainability parameters. Diffuse modeling allows the transformation of linguistic variables into numerical values, the disadvantage is the dependence of the specialist to construct the rules. The methodology used was the application of a semi-structured questionnaire, and the results were used as a reference to build the discourse domain of the input variables of the Fuzzy inference system, which generated an index of 54.1% classified in the category partially sustainable. Specifically, the economic and social dimensions obtained an index of 46.7% and the environmental dimension of 69%. From the perspective of the perception of the respondents, the variables with the greatest impact were: landscape change (LCH) 92%, environmental awareness (EA) and reduction of global warming (GW) with values of both 69%. The variable of the most prominent economic dimension was: cost of the system with a value of 69%. In the social dimension, the variables with the greatest impact were: Community Acceptability (AC), Expansion of the support network (ESN) with values of 69%. The proposed model allowed us to interpret the respondents' perception, and can be used to generate effective actions that solve the identified demands.

Super Resolution of MR Brain Images Using Compressive Sensing and Fuzzy Logical Rules

Abstract The proficiency of image processing is of extreme importance in perceiving and collecting information from the images, which includes the process of changing or interpreting existing images. In medical image processing, imaging with more accuracy plays a crucial role in better diagnosis or for the posterior analysis of treatment. Magnetic Resonance Imaging (MRI) is a medicinal creative tool for studying the internal structures and functionalities of human brain, knee, heart, liver, etc. Typical MR scans are essential now for better diagnosis but, limited resolution that is often inadequate for extracting detailed and reliable information. So, for the super resolution (SR) of MR brain images concepts of compressive sensing (CS) & fuzzy logical rules to improve data quality are proposed in this paper. Usually, reconstruction of an SR image is the formation of high resolution (HR) image which is obtained from one or few low resolution (LR) images. In the proposed method, with the help of compressive sensing a very limited number of images are considered even though it's a challenging task and fuzzy logical rules for a specific membership function are applied to improve the resolution of the image. To assess the performance of the proposal, different metrics are evaluated and achieved better results.

Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer / 中西医结合学报

OBJECTIVE@#By optimizing the extreme learning machine network with particle swarm optimization, we established a syndrome classification and prediction model for primary liver cancer (PLC), classified and predicted the syndrome diagnosis of medical record data for PLC and compared and analyzed the prediction results with different algorithms and the clinical diagnosis results. This paper provides modern technical support for clinical diagnosis and treatment, and improves the objectivity, accuracy and rigor of the classification of traditional Chinese medicine (TCM) syndromes.@*METHODS@#From three top-level TCM hospitals in Nanchang, 10,602 electronic medical records from patients with PLC were collected, dating from January 2009 to May 2020. We removed the electronic medical records of 542 cases of syndromes and adopted the cross-validation method in the remaining 10,060 electronic medical records, which were randomly divided into a training set and a test set. Based on fuzzy mathematics theory, we quantified the syndrome-related factors of TCM symptoms and signs, and information from the TCM four diagnostic methods. Next, using an extreme learning machine network with particle swarm optimization, we constructed a neural network syndrome classification and prediction model that used "TCM symptoms + signs + tongue diagnosis information + pulse diagnosis information" as input, and PLC syndrome as output. This approach was used to mine the nonlinear relationship between clinical data in electronic medical records and different syndrome types. The accuracy rate of classification was used to compare this model to other machine learning classification models.@*RESULTS@#The classification accuracy rate of the model developed here was 86.26%. The classification accuracy rates of models using support vector machine and Bayesian networks were 82.79% and 85.84%, respectively. The classification accuracy rates of the models for all syndromes in this paper were between 82.15% and 93.82%.@*CONCLUSION@#Compared with the case of data processed using traditional binary inputs, the experiment shows that the medical record data processed by fuzzy mathematics was more accurate, and closer to clinical findings. In addition, the model developed here was more refined, more accurate, and quicker than other classification models. This model provides reliable diagnosis for clinical treatment of PLC and a method to study of the rules of syndrome differentiation and treatment in TCM.

Application of image similarity measure based on structure information and intuitionistic fuzzy set in radiotherapy setup verification / 中华放射肿瘤学杂志

Objective:To propose a method of image similarity measurement based on structure information and intuitionistic fuzzy set and measure the similarity between CT image and CBCT image of radiotherapy plan positioning, aiming to objectively measure the setup errors.Methods:A total of four pre-registration images of a nasopharyngeal carcinoma patient on the cross-sectional and sagittal planes and a pelvic tumor patient on the cross-sectional and coronal planes were randomly selected. Five methods were used to quantify the setup errors, including correlation coefficient, mean square error, image joint entropy, mutual information and similarity measure method.Results:All five methods could describe the deviation to a certain extent. Compared with other methods, the similarity measure method showed a stronger upward trend with the increase of errors. After normalization, the results of five types of error increase on the cross-sectional plane of the nasopharyngeal carcinoma patient were 0.553, 0.683, 1.055, 1.995, 5.151, and 1.171, 1.618, 1.962, 1.790, 3.572 on the sagittal plane, respectively. The results of other methods were between 0 and 2 after normalization, and the results of different errors of the same method slightly changed. In addition, the method was more sensitive to the soft tissue errors.Conclusions:The image similarity measurement method based on structure information and intuitionistic fuzzy set is more consistent with human eye perception than the existing evaluation methods. The errors between bone markers and soft tissues can be objectively quantified to certain extent. The soft tissue deviation reflected by the setup errors is of significance for individualized precision radiotherapy.