Epistemología de la investigación social / Epistemology of social research

INTRODUCCIÓN. La epistemología, rama de la filosofía que estudia el proceso de investigación y su producto el conocimiento científico, implica ámbitos de la ciencia con enfoque positivismo y postpositivismo, interpretativismo, teoría crítica; y, transcomplejo, cada uno de ellos con los elementos paradigmáticos de: ontología, epistemología y metodología, su conocimiento y aplicabilidad en los diferentes ámbitos es fundamental porque sus enfoques generan ciencia. OBJETIVO. Desarrollar capacidades intelectuales en bases contextuales y teóricas en epistemología de la investigación social, indispensables para el ejercicio profesional en el ámbito de la investigación científica y del conocimiento científico. MATERIALES Y MÉTODOS. Estudio observacional, descriptivo, con población y muestra conocida de 30 modalidades de publicación, periodo junio a julio 2020. Los criterios de inclusión fueron: fuentes secundarias de información bibliográfica validadas en el ámbito de las ciencias sociales. La técnica de observación fue en buscadores bibliográficos PUBMED, Scielo, Scopus, Diccionario de Descriptores en Ciencias de la Salud y la Real Academia Española. La tarea de revisar la literatura de investigación comprendió la identificación, selección, análisis crítico, descripción escrita, interpretación, discusión y conclusión de la información que existe sobre la epistemología de la investigación social, tema, que se registró con aplicación de un gestor de referencias bibliográficas, tipo Microsoft Word. RESULTADOS. Se logró obtener capacidades intelectuales al estructurar la cronológica de la epistemología de la investigación social, del conocimiento científico y nuevas perspectivas para el ejercicio profesional en el ámbito de la investigación científica. CONCLUSIÓN. Las perspectivas se orientan a integrar paradigmas pasados y futuros con visión de transcomplejidad, espacios organológicos de una gran red, conformación de cibercomunidades de investigación, uso de método integrador, nuevo lenguaje en equipos multidisciplinarios, agentes como el foco principal de la teoridad epistémica en espacio, tiempo y la relación entre las cosas.

INTRODUCTION. Epistemology, a branch of philosophy that studies the research process and its product, scientific knowledge, involves areas of science focussed in with positivism and postpositivism, interpretivism, critical theory; and, transcomplex, each one of them with the paradigmatic elements of: ontology, epistemology and methodology, their knowledge and applicability in the different fields is fundamental because their approaches generate science. OBJECTIVE. Develop intellectual capacities on contextual and theoretical bases in the epistemology of social research, essential for professional practice in the field of scientific research and scientific knowledge. MATERIALS AND METHODS. Observational, descriptive study, with population and a known sample of 30 publication modalities, period June to July 2020. The inclusion criteria were: secondary sources of bibliographic information validated in the field of social sciences. The observation technique was in bibliographic search engines PUBMED, Scielo, Scopus, Dictionary of Descriptors in Health Sciences and the Royal Spanish Academy. The task of reviewing the research literature included the identification, selection, critical analysis, written description, interpretation, discussion and conclusion of the information that exists on the epistemology of social research, subject, which was registered with the application of a reference manager bibliographic, Microsoft Word type. RESULTS. Intellectual capacities were obtained by structuring the chronology of the epistemology of social research, scientific knowledge and new perspectives for professional practice in the field of scientific research. CONCLUSION. The perspectives are aimed at integrating past and future paradigms with a vision of transcomplexity, organological spaces of a large network, formation of research cyber communities, use of integrative method, new language in multidisciplinary teams, agents as the main focus of epistemic theory in space, time and the relationship between things.

Exploration and practice on construction of Tibetan medicine prescription information database and knowledge discovery / 中国中药杂志

This study aimed to explore the underlying framework and data characteristics of Tibetan prescription information. The information on Tibetan medicine prescriptions was collected based on 11 Tibetan medicine classics, such as Four Medical Canons(Si Bu Yi Dian). The optimal classification method was used to summarize the information structure of Tibetan medicine prescriptions and sort out the key problems and solutions in data collection, standardization, translation, and analysis. A total of 11 316 prescriptions were collected, involving 139 011 entries and 63 567 pieces of efficacy information of drugs in prescriptions. The information on Tibe-tan medicine prescriptions could be summarized into a "seven-in-one" framework of "serial number-source-name-composition-efficacy-appendix-remarks" and 18 expansion layers, which contained all information related to the inheritance, processing, origin, dosage, semantics, etc. of prescriptions. Based on the framework, this study proposed a "historical timeline" method for mining the origin of prescription inheritance, a "one body and five layers" method for formulating prescription drug specifications, a "link-split-link" method for constructing efficacy information, and an advanced algorithm suitable for the research of Tibetan prescription knowledge discovery. Tibetan medicine prescriptions have obvious characteristics and advantages under the guidance of the theories of "three factors", "five sources", and "Ro-nus-zhu-rjes" of Tibetan medicine. Based on the characteristics of Tibetan medicine prescriptions, this study proposed a multi-level and multi-attribute underlying data architecture, providing new methods and models for the construction of Tibetan medicine prescription information database and knowledge discovery and improving the consistency and interoperability of Tibetan medicine prescription information with standards at all levels, which is expected to realize the "ancient and modern connection-cleaning up the source-data sharing", so as to promote the informatization and modernization research path of Tibetan medicine prescriptions.

Florence Nightingale e a arte de enfermagem: texto e contexto da Inglaterra Vitoriana / Florence Nightingale y el arte de la enfermería: texto y contexto de la Inglaterra Victoriana / Florence Nightingale and the art of nursing: text and context of Victorian England

Resumo Objetivo refletir sobre a figura pública de Florence Nightingale, suas realizações, Reforma Sanitária e a criação da Escola de Enfermeiras, e compreender o nascimento da enfermagem como profissão. Método partiu-se da literatura de um quadro das pressões sociais que agiam sobre o comportamento individual de Florence Nightingale e dos marcos divisórios aparentes, que entendemos como a densidade das relações sócio-históricas, e o seu tempo social. Análise sócio-histórica da história de vida de Florence Nightingale e da literatura social de Charles Dickens. O marco temporal compreendeu da promulgação da New Poor Law (1.834) à revogação (1.601). Resultados Florence Nightingale foi uma mulher adiante do seu tempo que, contrariando as teorias do Darwinismo social de sua época, criou a profissão da enfermeira, e produziu uma clivagem na profissão definindo-a como ciência e arte. Conclusão e implicações para a enfermagem ao criar a figura emblemática da Dama da Lâmpada, Florence Nightingale gravou no cuidado de enfermagem, o zelo, o desvelo e a compaixão, aqui entendida como empatia e piedade com o sofrimento do outro acompanhada do desejo de minorá-lo, uma participação espiritual na dor do outro.

Resumen Objetivo reflexionar sobre la figura pública de Florence Nightingale, sus logros, Reforma Sanitaria y la creación de la Escuela de Enfermeras, y comprender el nacimiento de la enfermería como profesión. Método se partió de la literatura de un cuadro de las presiones sociales sobre el comportamiento individual de Florence Nightingale y de los marcos divisorios aparentes que se entiende como la densidad de las relaciones socio histórico y su tiempo social. Análisis socio histórico de la historia de vida de Florence Nightingale y de la literatura social de Charles Dickens. El marco temporal se comprendió entre la promulgación del New Poor Law en 1834 y su revocación promulgada en 1601. Resultados Florence Nightingale fue una mujer adelante a su tiempo que, contrariando las teorías del Darwinismo social de su época, creó la profesión de enfermera, y produjo una mirada embrionaria en la profesión definiéndola como ciencia y arte. Conclusión e implicaciones para la enfermería al crear la figura emblemática de la Dama de la Lámpara, Florence Nightingale registró en el cuidado de enfermería, el celo, el cuidado y la compasión, entendido aquí como empatía y piedad con el sufrimiento del otro acompañado del deseo de una disminución, una participación espiritual en el dolor del otro.

Abstract Objective to reflect on Florence Nightingale's public figure, her achievements, Health Care Reform and the creation of the School for Nurses, and understand the birth of nursing as a profession. Method a framework of the social pressures acting on Florence Nightingale's individual behavior and the apparent dividing marks, which we understand as the density of socio-historical relations, and her social time, was drawn from the literature. This is a socio-historical analysis of Florence Nightingale's life story and Charles Dickens' social literature. The time frame spanned from the enactment of the New Poor Law (1834) to the repeal (1601). Results Florence Nightingale was a woman ahead of her time who, going against the theories of social Darwinism of her time, created the nurse profession, and produced a divide in the profession by defining it as science and art. Conclusion and implications for nursing by creating the emblematic figure of the Lady of the Lamp, Florence Nightingale engraved in nursing care, zeal, devotion, and compassion, here understood as empathy and pity for the suffering of others accompanied by the desire to alleviate it, a spiritual participation in the pain of others.

Indicadores bibliométricos de la producción científica peruana en plantas medicinales / Bibliometric indicators of peruvian scientific output about medicinal plants

RESUMEN Objetivo: Describir la producción científica sobre plantas medicinales con, al menos, un autor con filiación peruana publicada entre el 2000 y el 2019. Materiales y métodos: Se realizó un estudio bibliométrico mediante una búsqueda sistemática en la base de datos Scopus, de donde se seleccionaron artículos originales o comunicaciones breves sobre plantas medicinales que tuvieran, al menos, un autor con una filiación institucional peruana. Se describen las características de las publicaciones, instituciones, países y autores que participaron en estas investigaciones. Se calculó la proporción de colaboración internacional, el índice de transitoriedad, y las redes de colaboración institucional y de coautoria. Resultados: Se incluyeron 200 artículos originales publicados en 83 revistas, con una tendencia creciente, aunque irregular. La institución más productiva fue la Universidad Nacional Mayor de San Marcos, y la revista en la que más se publicó fue Journal of Ethnopharmacology. Las redes de autoría y de colaboración institucional mostraron la influencia de la colaboración internacional en estas publicaciones (53,0%). Conclusiones: La producción científica peruana sobre plantas medicinales tiene una tendencia creciente, se concentra en ámbitos académicos universitarios y se publica en revistas de alto impacto, debido, en parte, al alto nivel de cooperación internacional existente.

ABSTRACT Objective: To describe the scientific output on medicinal plants published between 2000 and 2019 with at least one author with Peruvian affiliation. Materials and methods: A bibliometric study was carried out by conducting a systematic search in the Scopus database, from which original articles or short communications on medicinal plants that had at least one author with Peruvian institutional affiliation were selected. The characteristics of the publications, institutions, countries and authors who participated in this research are described. The ratio of international collaboration, the transience index, and the institutional and co-authorship collaboration networks were calculated. Results: A total of 200 original articles published in 83 journals were included. The quantity of articles showed an increasing, though irregular trend during the studied period. The most productive institution was the Universidad Nacional Mayor de San Marcos, and the journal in which most of the articles were published was the Journal of Ethnopharmacology. Authorship and institutional collaboration networks showed the influence of international collaboration in these publications (53.0%). Conclusions: Peruvian scientific output on medicinal plants shows an increasing trend, observed mainly in academic university settings. The articles are published on high-impact journals, due in part to the high level of international cooperation.

Prediction of Drug–Drug Interactions by Using Profile Fingerprint Vectors and Protein Similarities / 대한의료정보학회지

A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition

Prediction of the relations among drug and other molecular or social entities is the main knowledge discovery pattern for the purpose of drug-related knowledge discovery. Computational approaches have combined the information from different resources and levels for drug-related knowledge discovery, which provides a sophisticated comprehension of the relationship among drugs, targets, diseases, and targeted genes, at the molecular level, or relationships among drugs, usage, side effect, safety, and user preference, at a social level. In this research, previous work from the BioNLP community and matrix or tensor decomposition was reviewed, compared, and concluded, and eventually, the BioNLP open-shared task was introduced as a promising case study representing this area.

Application Study on Keywords Network in Resources Aggregation and Knowledge Discovery in Adverse Drugs Reaction Domain / 医学信息学杂志

Based on literature data from Wanfang Med Online and VIP database,the paper grabs keywords of literature to establish the keywords network,in which the relation in cardiovascular adverse drugs reaction ontology is imbedded,visualizes the network,and lists cases to verify the feasibility of keywords network-based domain resources aggregation and knowledge discovery methods in the adverse drugs reaction domain.

The Effect of Strong-weak Connection on Medical Literature Knowledge Discovery / 医学信息学杂志

The paper analyzes different expressions of indirectly associated strong-weak connection in the process of biomedical literature knowledge discovery,defines the effect and function of strong-weak connection on literature knowledge discovery,and indicates that the accuracy rate of the discovery of potential connection through strong connection is obviously higher than the accuracy rate obtained through weak connection,and strong connection can serve as an important factor for improving the application effect of literature knowledge discovery.

"Research on Knowledge Discovery System of Digital Library of Medical University in the ""Internet +"" Era" / 医学信息学杂志

The paper introduces the system structure of the knowledge discovery system of digital library of medical university,including knowledge service interaction layer,knowledge discovery processing layer,data mining & transmission layer and basic data resource layer,and discusses the knowledge service mode of the digital library of medical university supported by knowledge discovery,namely,the knowledge service mode based on embedded system,document database and collaborative mode.

Relationship Between Syndromes and Prescriptions of Damp Disease: a Neural Network-based Study on Cases from Lin Zheng Zhi Nan Yi An Shi / 中国中医药信息杂志

Objective Taking medical cases in Lin Zheng Zhi Nan Yi An Shi as examples to analyze the network relationship between the syndromes and prescriptions through building a medical case model forecasting medication via artificial neural networks for the syndromes and prescriptions in medical cases. Methods The study screened medical cases in Lin Zheng Zhi Nan Yi An Shi, and standardized and entered the data with Python language programming. PyBrain module was used to build and train a network model. The MatPlotLib module drew the error curve and the predicted fit curve, and evaluated the sensitivity and specificity. NetworkX module realized the visual expression of the network relationship between the syndromes and prescriptions, and analyzed the medicine within the prescriptions and compatibility relationship and the relationship between the pathogenesis and pathology. Results The sensitivity of the constructed medical case network model was 96.15% and the specificity was 75.00%. The visual mapping of the network relationship between the syndromes and prescriptions and the analysis on single, single group, and multi-angle were realized. Conclusion Neural network is capable to simulate the relationship between syndromes and prescriptions of medical knowledge. The visual combination and manifestation of network can provide a feasible solution for the knowledge discovery in medical literature.

Steps and tools of text mining in biomedical field / 中华医学图书情报杂志

The steps of text mining in biomedical field and the methods used in its each step were described with stress laid on the tools used in each step of text mining in order to promote text mining in biomedical field.

Knowledge Discovery-oriented Biomedical Literature Information Retrieval and Visualization Design / 医学信息学杂志

The paper discusses influence and effect of information retrieval process of biomedical literature and visualization design on user knowledge discovery,from the aspects of input and output,retieval process and information positioning,it introduces the interaction model of literature information retrieval process and analyzes approach of literature information visualization design,including color and font,statistical chart,list of categories and labels,layer structure and network pictures,etc.

Text mining technology-based discovery of rhinitis treatment rules / 中华医学图书情报杂志

Objective To discover the treatment rules of rhinitis and its complications with or without Chinese and Western drugs using the text mining technology. Methods The treatment rules of rhinitis and its complication were discovered using Chinese text words, data cleaning, word frequency and correlation analysis respectively with CNKI-covered papers and doctors-patients interactive forum data as the sources. Results The rhinitis received Western drug therapy, traditional Chinese medicine therapy, traditional Chinese medicine preparation therapy and non-drug therapy respectively . Xanthium was often used as a folk prescription for rhinitis, Jade Screen Powder was used as an important traditional Chinese medicine reparation for rhinitis, acu-puncture and massage were used as non-drug therapies for rhinitis, immune therapy and desensitization therapy were recommended, normal saline was usually used as an adju-vant therapy. Combined traditional Chinese medicine and Western drug therapy was advised at present. The incidence of nasosinusitis was the highest, followed by that of trachi-tis, pharyngitis, tympanitis, pneumonia, etc. Their symp-toms were different and were thus treated with different drugs. Conclusion The treatment rules of rhinitis and its complication can provide reference for drug selection and basic research, verify the usability of medical network da-ta and the feasibility of text mining.

Effect of paper publication time on knowledge discovery in biomedical literature / 中华医学图书情报杂志

The effect of paper publication time on knowledge discovery in biomedical literature was studied by analyzing the role of time factor in indirect link mining and tested using the PubMed-covered data set,which showed that recently published papers played a better role than early published papers in knowledge discovery,indicating that the time factor plays a certain role in knowledge discovery in biomedical literature and can thus improve the efficiency of knowledge discovery in biomedical literature.

Application of Disciplinary Background Knowledge in Medical Text Feature Extraction / 医学信息学杂志

The paper analyzes the conditions of research on the current scientific literature text feature extraction methods,applies the TF-IDF method based on background knowledge in the medical text feature extraction,and conducts experimental comparison in four medical fields.The result indicates that this method can obviously improve the extraction effect when there are few vocabularies to be extracted,and is obviously superior to the IDF based TF-IDF method in the aspects of filtration of commonly-used words in the text set and identification of important feature words.

Framework for multidimensional feature recognition-based studies on frontier knowledge discovery in medical field / 中华医学图书情报杂志

Multidimensional features ( life cycle features, universal acceptability, authority, innovation and inter-disciplinarity) of frontier knowledge and their measurement methods were determined according to the current scien-tific achievements in order to help scientific workers and decision makers timely discover and accurately recognize frontier knowledge.The framework for studies on frontier knowledge discovery in medical field was proposed with its key problems explained in order to provide reference for its future study.

Role of network characteristics in evaluation of literature-based indirect association discovery / 中华医学图书情报杂志

New scientific hypotheses detected by mining the potential indirect association inliterature according to the studies on literature-based knowledge discovery are increasinglyapplied in biomedical field and evaluation of literature-based indirect association discovery is a hot spot in recent studies on literature-based knowledge discovery . The role of network characteristics in evaluation of literature-based indirect association discovery during the litera-ture-based knowledge discovery was thus studied.The new indexes for evaluaing the literature-based indirect asso-ciation discovery were esatablished by integrating the co-ocurrent statistic information and the network charateris-tics, which are of greatimportance for improving literature-based knowledge discovery and constructing knowledge discovery system .

Nanopublication semantic pattern and its relation with knowledge discovery / 中华医学图书情报杂志

Nanopublication is a novel semantic expression pattern.The relation between nanopublication and knowledge discovery was studied in terms of its emergence, improvement and progression in order to provide certain clues for discovering new knowledge.

Scientometric methods-based research project of bio-entities / 中华医学图书情报杂志

After the necessity of research on bio-entities was pointed out, the advances and status quo in research on the relation between bio-entities were analyzed with concrete ideas and project put forward for the research on bio-entities using scientometric methods according to thecitationrelation in bio-entities similar to that in litera-ture.This kind of research will promote and perfect the research on scientometric theory and practice, and open a new visual angle for the research on knowledge management .

Complex associated network-based biomedical research structure mining / 中华医学图书情报杂志

A biomedical entity association evolution network was constructed by mining the implicit associations in PubMed-covered literature, which can help scientific researchers to form new scientific hypotheses, to analyze the topological features of associated network, to study the scientific literature-enriched knowledge structure, associa-tions, development rules, to introduce new visual angles and methods for literature-based knowledge discovery, and to improve the knowledge discovery efficiency.