[Exploration and practice on construction of Tibetan medicine prescription information database and knowledge discovery].

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.

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.

Licentîa hypomnema: reflections and perceptions in teacher education / Licentîa hypomnema: reflexões e percepções na formação de educadoras(es) / Licentîa hypomnema: reflexiones y percepciones en la formación del profesorado

Student protagonism is paramount in the knowledge construction process. In this paper, we discuss a didactic-pedagogical resource called licentîa hypomnema (LH), inspired in portfolios and learning diaries in which student-teachers record their understandings and reflections regarding pedagogical topics learned at University in a meta-learning process on learning about teaching. The initial context of the research was a Psychological Development and Teaching course, offered in the Teacher Education program at Universidade de Brasília (UnB). Two of the authors, then Literacy and Languages Teaching students, produced their LH and peer assessed each other during the course. In their annotations, the student-authors recorded two pedagogical situations related to the use of LH in their own teaching practices, causing an impact on their formative path. These materials consist of the data for analysis and discussion. Moreover, we discuss possible uses of reflexive writing in teacher education and other learning contexts. Producing a LH supports knowledge production and allows students to connect theory and practice, which consequently influences the student's teaching practice. Since LH is a didactic-pedagogical resource and not a close-ended tool, both the context and individuals who use it should be considered.(AU)

O protagonismo de estudantes tem grande importância no processo de construção do conhecimento. Neste artigo, discutimos um recurso didático-pedagógico chamado licentîa hypomnema (LH), inspirado em portfólios e diários de aprendizagem, isto é, estudantes de licenciatura escrevem suas compreensões e reflexões acerca de assuntos pedagógicos vistos na universidade em um processo de meta-aprendizagem sobre aprender a ensinar. O contexto inicial da pesquisa foi um curso de Desenvolvimento Psicológico e Ensino, ministrado em cursos de Licenciatura da Universidade de Brasília (UnB). Duas das autoras eram estudantes do curso de Letras, elas produziram seus LH, realizando avaliação por pares entre si durante o curso. As estudantes-autoras trouxeram em seus registros duas situações pedagógicas relacionadas ao uso desse recurso em suas próprias práticas de ensino que causaram um impacto em suas trajetórias formativas. São esses relatos que compõem os dados para análise e discussão. Além disso, procuramos discutir possíveis desdobramentos para o uso do recurso da escrita reflexiva na formação docente e em outros contextos de aprendizagem. A produção do LH fornece suporte para a produção de conhecimento e permite ao aluno conectar teoria e prática, o que, consequentemente, reverbera na prática de ensino do aluno. O LH é um recurso didático-pedagógico e não uma ferramenta fechada, portanto, tanto o contexto quanto as pessoas que o utilizam devem ser considerados.(AU)

El protagonismo de los estudiantes tiene gran importancia en el proceso de construcción del conocimiento. En este trabajo, discutimos un recurso didáctico-pedagógico llamado licentîa hypomnema (LH), que se inspira en diarios de aprendizaje, es decir, estudiantes de profesorado escriben sus comprensiones y reflexiones sobre temas pedagógicos aprendidos en la universidad, produciendo un proceso de meta-aprendizaje sobre aprender a enseñar. El contexto inicial de la investigación fue un curso de Desarrollo Psicológico y Enseñanza, impartido en el programa de Formación de Profesores de la Universidade de Brasília (UnB). Dos de las autoras eran alumnas de la carrera de Letras que produjeron sus LH y realizaron una evaluación por pares mutua durante el curso. Las estudiantes autoras plantearon en su LH dos situaciones pedagógicas relacionadas con el uso de este recurso en sus propias prácticas de enseñanza, causando un impacto en su trayectoria formativa. Estos materiales constituyen los datos para el análisis y la discusión en esta investigación. Buscamos discutir posibles desdoblamientos para el uso del recurso de la escritura reflexiva en la formación docente y en otros contextos de aprendizaje. La producción de este recurso da soporte a la producción de conocimiento y permite al estudiante conectar teoría y práctica, lo que consecuentemente repercute en su práctica docente. El LH es un recurso didáctico-pedagógico y no una herramienta cerrada, por lo tanto, se debe considerar tanto el contexto como las personas que lo utilizan.(AU)

[Knowledge discovery of Dao-di herbs based on traditional experience and literature data].

"Dao-di herbs" is the original comprehensive index for the quality evaluation of traditional Chinese medicine, which has the characteristics of high quality and good effect. After more than 30 years of development, a large number of data, including text data, image data and other types, have been generated in the modern research on Dao-di herbs. It has the characteristics of large quantity, variety, scattered content and different structure, and the data types of each feature are isolated or less interrelated. Based on the literature published in CNKI journal database since 1999-2019, the data collection, selection and collation of 34 kinds of Dao-di herbs characteristics, micro characteristics, ecological characteristics and genetic characteristics were carried out. Using the knowledge base construction technology and combining these characteristics of the characteristics data of the herbs, the above characteristics data were standardized and regarded as a part of the knowledge base of the herbs. Based on a large number of data, this paper analyzes the knowledge composition, research status, comparison between modern and traditional producing areas of traditional Chinese medicine, and takes Salvia miltiorrhiza as an example to compare the ecological characteristics of modern and traditional producing areas. The construction of the knowledge base will facilitate the mining and utilization of the scientific data of Dao-di herbs, and provide resource management and basic guarantee for the transformation and promotion of scientific and technological achievements of Dao-di herbs.

Literature based discovery of alternative TCM medicine for adverse reactions to depression drugs.

BACKGROUND: In recent years, Traditional Chinese Medicine (TCM) and alternative medicine have been widely used along with western drugs as a complementary form of treatment. In this study, we first use the scientific literature to identify western drugs with obvious side effects. Then, we find TCM alternatives for these western drugs to ameliorate their side effects. RESULTS: We used depression as a case study. To evaluate our method, we showed the relation between herb-ingredients-target-disease for representative alternative herbs of western drugs. Further, a protein-protein interaction network of western drugs and alternative herbs was produced, and we performed enrichment analysis of the targets of the active ingredients of the herbs and examined the enrichment of Gene Ontology terms for Biological Process, Cellular Component, and Molecular Function and KEGG Pathway levels, to show how these targets affect different levels of gene expression. CONCLUSION: Our proposed method is able to select herbs that are highly relevant to the target indication (depression) and are able to treat the side effects caused by the target drug. The compounds from our selected alternative herbal medicines can therefore be complementary to the western drugs and ameliorate their side effects, which may help in the development of new drugs.

A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare.

Knowledge management is one of the key priorities of many organizations. They face different challenges in the implementation of knowledge management processes, including the transformation of tacit knowledge-experience, skills, insights, intuition, judgment and know-how-into explicit knowledge. Furthermore, the increasing number of information sources and services in some domains, such as healthcare, increase the amount of information available. Therefore, there is a need to transform that information in knowledge. In this context, learning ecosystems emerge as solutions to support knowledge management in a different context. On the other hand, the dashboards enable the generation of knowledge through the exploitation of the data provided from different sources. The model-driven development of these solutions is possible through two meta-models developed in previous works. Even though those meta-models solve several problems, the learning ecosystem meta-model has a lack of decision-making support. In this context, this work provides two main contributions to face this issue. First, the definition of a holistic meta-model to support decision-making processes in ecosystems focused on knowledge management, also called learning ecosystems. The second contribution of this work is an instantiation of the presented holistic meta-model in the healthcare domain.

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.

Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors.

The COVID-19 pandemic demands assimilation of all biomedical knowledge to decode mechanisms of pathogenesis. Despite the recent renaissance in neural networks, a platform for the real-time synthesis of the exponentially growing biomedical literature and deep omics insights is unavailable. Here, we present the nferX platform for dynamic inference from over 45 quadrillion possible conceptual associations from unstructured text, and triangulation with insights from single-cell RNA-sequencing, bulk RNA-seq and proteomics from diverse tissue types. A hypothesis-free profiling of ACE2 suggests tongue keratinocytes, olfactory epithelial cells, airway club cells and respiratory ciliated cells as potential reservoirs of the SARS-CoV-2 receptor. We find the gut as the putative hotspot of COVID-19, where a maturation correlated transcriptional signature is shared in small intestine enterocytes among coronavirus receptors (ACE2, DPP4, ANPEP). A holistic data science platform triangulating insights from structured and unstructured data holds potential for accelerating the generation of impactful biological insights and hypotheses.