Inefficacious drugs against covid-19: analysis of sales, tweets, and search engines / Medicamentos ineficazes contra covid-19: análise de vendas, tweets e mecanismos de busca

ABSTRACT OBJECTIVE Assess the correlation between the sales of two drugs with no proven efficacy against covid-19, ivermectin and chloroquine, and other relevant variables, such as Google® searches, number of tweets related to these drugs, number of cases and deaths resulting from covid-19. METHODS The methodology adopted in this study has four stages: data collection, data processing, exploratory data analysis, and correlation analysis. Spearman's method was used to obtain cross-correlations between each pair of variables. RESULTS The results show similar behaviors between variables. Peaks occurred in the same or near periods. The exploratory data analysis showed shortage of chloroquine in the period corresponding to the beginning of advertising for the application of these drugs against covid-19. Both drugs showed a high and statistically significant correlation with the other variables. Also, some of them showed a higher correlation with drug sales when we employed a one-month lag. In the case of chloroquine, this was observed for the number of deaths. In the case of ivermectin, this was observed for the number of tweets, cases, and deaths. CONCLUSIONS The results contribute to decision making in crisis management by governments, industries, and stores. In times of crisis, as observed during the covid-19 pandemic, some variables can help sales forecasting, especially Google® and tweets, which provide a real-time analysis of the situation. Monitoring social media platforms and search engines would allow the determination of drug use by the population and better prediction of potential peaks in the demand for these drugs.

RESUMO OBJETIVO Investigar a correlação entre as vendas de dois medicamentos sem eficácia comprovada no tratamento de covid-19, ivermectina e cloroquina, e outras variáveis relevantes: pesquisas no Google®, número de tweets relacionados aos medicamentos, casos e óbitos decorrentes da covid-19. MÉTODOS A metodologia adotada neste estudo se divide em quatro partes: coleta de dados; processamento dos dados; análise exploratória; e análise de correlação. Foi utilizado o método de Spearman para obter as correlações cruzadas entre cada par de variáveis. RESULTADOS Os resultados mostram similaridade entre os comportamentos das variáveis. Os picos ocorreram em períodos iguais ou próximos. A análise exploratória dos dados apontou que houve falta de cloroquina no período correspondente ao início das divulgações sobre a aplicação desses medicamentos para o tratamento da covid-19. Ambos os medicamentos apresentaram correlação alta e estatisticamente significativa com as demais variáveis analisadas. Também foi observado que algumas delas apresentaram maior correlação com as vendas de medicamentos quando assumiram defasagem temporal de um mês. No caso da cloroquina, isso ocorreu com a variável óbitos. No caso da ivermectina, ocorreu com as variáveis número de tweets, casos e óbitos. CONCLUSÕES Os resultados observados contribuem para a tomada de decisão durante a gestão de crises por parte de governo, indústrias e comércios. Em momentos de crises, como observado durante a pandemia, as variáveis mostraram que são capazes de auxiliar na previsão de vendas, em especial o Google® e os tweets, que proporcionam uma análise em tempo real da situação. Acompanhar as redes sociais e mecanismos de busca permitiria detecção de uso pela população e melhor previsão de potenciais picos de demanda desses medicamentos.

Perspectives of Teachers at Medical Colleges Across India regarding the Competency based Medical Education Curriculum – A Qualitative, Manual, Theoretical Thematic Content Analysis

Background: Competency-based medical education (CBME) curriculum has been implemented in India since 2019 with a goal to create an “Indian Medical Graduate” (IMG) possessing requisite knowledge, skills, attitudes, values, and responsiveness. Objectives: To explore teachers’ perceptions across India at medical colleges on the newly implemented competency-based medical education curriculum. Methods: This was a qualitative cross?sectional study conducted among teachers working at medical colleges across India, between February and April 2022 (n = 192). The data collection was done using Google forms online survey platform on teachers’ perception regarding CBME, its specific components, and perceived bottlenecks. We analyzed this qualitative data using manual, theoretical thematic content analysis following the steps endorsed in Braun and Clarke’s six-phase framework. Results: The majority of the teachers (64.1%) have positively responded to the CBME curriculum’s implementation. However, it came with a caution that the curriculum should continuously evolve and adapt to regional demands. The foundation course, early clinical exposure, and the family adoption program were the specific components of CBME curriculum over which the teachers raised concerns. The need for additional teachers in each department (department-specific teacher or faculty per hundred students ratio to be worked out) and the need for enabling faculty preparedness through adequate training was highlighted. Concerns were also raised regarding implementing CBME with teachers without a medical background (especially in preclinical departments). Conclusion: It is the need of the hour for the curriculum to incorporate a systematic feedback mechanism built into the system, though which such critical appraisals can be meaning collated and acted upon, to ultimately evolve, thereby creating an “Indian Medical Graduate” for the needs of todays’ society.

Control study of the intelligent calculation method and the traditional calculation method in risk assessments of hospitalization / 中华危重病急救医学

Objective:To explore the accuracy of intelligent calculation (IC) method for risk assessment of hospitalization for patients, aiming to build a more advantageous risk assessment system.Methods:The "Search Engine" program was developed based on hospital information system (HIS) of the Fifth Center Hospital in Tianjin, which automatically captured patient information and generated nutritional risk screening 2002 (NRS 2002) score, Caprini thrombosis risk assessment model and Padua thrombosis risk assessment model for venous thromboembolism (VTE), the CHA 2DS 2-VASc for predicting stroke risk stratification in atrial fibrillation and the HAS-BLED for predicting bleeding risk in anticoagulated patients with atrial fibrillation. A randomized controlled trial was conducted. According to the applicable conditions of each risk assessment, 100 risk scores from "Search Engine" program belonged to each risk assessment were randomly selected, defined as the IC group. Manual scoring with the data of the same case at the same time, defined as the traditional calculation (TC) group, compared the consistency of the scores and the difference in time-consuming between the two groups. Results:The Bland-Altman plots showed that the 95% limits of agreement (95% LoA) of NRS 2002 score, Caprini score, Padua score, CHA 2DS 2-VASc score and HAS-BLED score was -0.46 to 0.41, -0.49 to 0.52, -0.50 to 0.41, -0.67 to 0.60, -0.44 to 0.43, respectively, all P > 0.05. In this study, the Bland-Altman plot showed that 95%, 96%, 97%, 97%, 95% plots fell within the 95% LoA in NRS 2002 score, Caprini score, Padua score, wwCHA 2DS 2-VASc score and HAS-BLED score by the two methods, respectively. The all plots of 95% LoA were within the clinically acceptable range (-0.5 to 0.5 scores). The time-consuming of NRS 2002 score, Caprini score, Padua score, CHA 2DS 2-VASc score and HAS-BLED score in IC group were significantly shorter than those in TC group [0.72 (0.71, 0.73) seconds vs. 361.02 (322.41, 361.02) seconds, 0.72 (0.72, 0.73) seconds vs. 196.68 (179.99, 291.20) seconds, 0.72 (0.72, 0.73) seconds vs. 105.75 (92.32, 114.70) seconds, 0.72 (0.71, 0.72) seconds vs. 72.66 (56.24, 84.20) seconds, 0.72 (0.71, 0.72) seconds vs. 51.30 (38.88, 57.15) seconds, respectively, all P < 0.001]. Conclusion:For the above five risk assessments, the TC method and IC method has good consistency in scores, and the IC method is faster, which has good application prospect for clinical application.

Taxa de publicação de resumos da área de Endodontia apresentados na Sociedade Brasileira de Pesquisa Odontológica entre 2013 e 2016 / Full-length publication rates of endodontic abstracts presented at the Brazilian Society of Oral Research meetings between 2013 and 2016

O conceito de Odontologia baseada em evidências requer a produção e publicação de pesquisas de alta qualidade em periódicos internacionais criteriosos. Objetivo: O presente estudo teve como objetivo avaliar as taxas de publicação de resumos endodônticos apresentados na reunião da SBPqO nos anos de 2013, 2014, 2015 e 2016. Material e Métodos: O fator de impacto e a classificação Qualis dos periódicos, e o tempo decorrido entre o congresso e a publicação completa também foram avaliados. Em seguida, foram classificados em seis categorias: pesquisa básica endodôntica, revisão de temas endodônticos, estudos clínicos, ensaios clínicos randomizados, pesquisa básica tecnológica ou relatos de caso. Uma pesquisa em bancos de dados eletrônicos usando o mecanismo Medline (PubMed) foi realizada de janeiro de 2018 a julho de 2018, para identificar publicações escritas em inglês com texto completo dos resumos endodônticos previamente selecionados. A identificação da publicação em texto completo dos resumos foi inicialmente realizada utilizando o sobre- nome do primeiro autor e as principais palavras-chave do título do resumo. Após a verificação do artigo em texto completo, informações adicionais foram registradas, tais como: tempo decorrido até a publicação; nome, fator de impacto e classificação Qualis da revista; e o tipo de estudo. Resultados: Após a leitura do conteúdo da reunião, 1.238 resumos (10,2%) foram considerados de interesse endodôntico e, em seguida, foi realizada uma busca eletrônica no banco de dados. Conclusão: Um grande número de resumos endodônticos não foi publicado como um manuscrito completo. Estudos clínicos e ensaios clínicos randomizados representaram uma pequena parte das publicações (AU).

Evidence-based dentistry consists in the clinical application of concepts based on researches pub- lished as scientific papers in indexed periodicals. Objective: This study aimed to evaluate the publication rates of endodontic abstracts presented in the meeting of SBPqO in the years of 2013, 2014, 2015 and 2016. Materials and Methods: Endodontic abstracts presented between 2013 and 2016 were included. Then, they were classified into six categories: endodontic basic research, review endodontic topics, clinical studies, randomized clinical trials, technological basic research or case reports. An electronic database search using the Medline (PubMed) engine was performed from January 2018 to July 2018 to identify full-text English-written publications of the endodontic abstracts previously selected. The identification of full-text publication of the abstracts was initially performed using the first authors last name and the main keywords from the title of the abstract. Following full-text article verification, additional information was recorded such as: elapsed time until publication; name, impact factor and Qualis classification of the journal; and type of study. Results: After reading the content of the meeting, 1,238 abstracts (10.2%) were considered to be of endodontic interest, and then an electronic database search was performed. Conclusion: A large number of endodontic abstracts were not published as a full-length manuscript. Clinical studies and randomized clinical trials represented the small part of the publications (AU).

Optimización para los motores de búsqueda (SEO) y la garantía de posicionamiento en los buscadores / Search engine optimization (SEO) and search engine positioning guarantee

RESUMEN Una gran parte de la búsqueda y consumo de información digital hoy depende de los motores de búsqueda. Muchos usuarios lo utilizan como el primer paso o punto de acceso para comenzar su consulta de información. Por ello, la optimización y al mismo tiempo la visibilidad en estos buscadores, pasa a ser asunto de prioridad para elaboradores o productores de recursos de información. La optimización para los motores de búsqueda (SEO, por sus siglas en inglés) se refiere al proceso por el cual una página web obtiene y mantiene posiciones notables en las páginas de resultados naturales de los buscadores, también llamados resultados orgánicos o algorítmicos. Este trabajo aborda la importancia que esto reviste para lograr una mejor visualización de la información que se genera en las revistas médicas y en el mundo de la documentación en general.

ABSTRACT A great part of the search and consumption of digital information today depends on search engines. Many users use it as the first step or access point to begin their information inquiry. For this reason, optimization and, at the same time, visibility in these search engines, becomes a matter of priority for developers or producers of information resources. Search engine optimization (SEO) refers to the process by which a web page obtains and maintains notable positions on the pages of natural search engine results, also called organic or algorithmic results. This work comprises the importance of this to achieve a better visualization of the information generated in medical journals and in the documentation world in general.

Google Trends correlation and sensitivity for outbreaks of dengue and yellow fever in the state of São Paulo / Correlação e sensibilidade do Google Trends para surtos de dengue e febre amarela no estado de São Paulo

ABSTRACT Objective To assess Google Trends accuracy for epidemiological surveillance of dengue and yellow fever, and to compare the incidence of these diseases with the popularity of its terms in the state of São Paulo. Methods Retrospective cohort. Google Trends survey results were compared to the actual incidence of diseases, obtained from Centro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", in São Paulo, Brazil, in periods between 2017 and 2019. The correlation was calculated by Pearson's coefficient and cross-correlation function. The accuracy was analyzed by sensitivity and specificity values. Results There was a statistically significant correlation between the variables studied for both diseases, Pearson coefficient of 0.91 for dengue and 0.86 for yellow fever. Correlation with up to 4 weeks of anticipation for time series was identified. Sensitivity was 87% and 90%, and specificity 69% and 78% for dengue and yellow fever, respectively. Conclusion The incidence of dengue and yellow fever in the State of São Paulo showed a strong correlation with the popularity of its terms measured by Google Trends in weekly periods. Google Trends tool provided early warning, with high sensitivity, for the detection of outbreaks of these diseases.

RESUMO Objetivo Avaliar a acurácia do Google Trends para vigilância epidemiológica de dengue e febre amarela e comparar a incidência dessas doenças com a popularidade de seus termos no estado de São Paulo. Métodos Coorte retrospectiva. Os resultados da pesquisa Google Trends foram comparados com a incidência real de doenças, obtida do Centro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", do estado de São Paulo, nos períodos entre 2017 e 2019. A correlação foi calculada pelo coeficiente de Pearson e pela função de correlação cruzada. A acurácia foi analisada por valores de sensibilidade e especificidade. Resultados Houve correlação estatisticamente significante entre as variáveis estudadas para ambas as doenças, com coeficiente de Pearson de 0,91 para dengue e 0,86 para febre amarela. Foi identificada correlação com até 4 semanas de antecipação para séries temporais. A sensibilidade foi de 87% e 90% e a especificidade de 69% e 78% para dengue e febre amarela, respectivamente. Conclusão A incidência de dengue e febre amarela no estado de São Paulo apresentou forte correlação com a popularidade de seus termos medidos pelo Google Trends em períodos semanais. A ferramenta Google Trends forneceu alerta precoce, com alta sensibilidade, para a detecção de surtos dessas doenças.

Construction of Nutrient Content Retrieval Oriented Search Engine for Chinese Recipes / 医学信息学杂志

The paper takes common food materials that contain 5 nutrients of calcium,phosphorus,potassium,sodium and magnesium in the Chinese Dietary Reference Intakes (2013) as authoritative reference data,combines the data of finished dishes obtained from the Internet,and calculates the data by making use of the search engine,database storage and other computer technologies,in order to obtain the list of finished dishes containing certain nutrients,achieve the calculation from nutrients to finished dishes,and provide solutions to the guidance for targeted nutrient supplement diet of residents.

Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks / 대한의료정보학회지

OBJECTIVES: For earlier detection of infectious disease outbreaks, a digital syndromic surveillance system based on search queries or social media should be utilized. By using real-time data sources, a digital syndromic surveillance system can overcome the limitation of time-delay in traditional surveillance systems. Here, we introduce an approach to develop such a digital surveillance system. METHODS: We first explain how the statistics data of infectious diseases, such as influenza and Middle East Respiratory Syndrome (MERS) in Korea, can be collected for reference data. Then we also explain how search engine queries can be retrieved from Google Trends. Finally, we describe the implementation of the prediction model using lagged correlation, which can be calculated by the statistical packages, i.e., SPSS (Statistical Package for the Social Sciences). RESULTS: Lag correlation analyses demonstrated that search engine data/Twitter have a significant temporal relationship with influenza and MERS data. Therefore, the proposed digital surveillance system can be used to predict infectious disease outbreaks earlier. CONCLUSIONS: This prediction method could be the core engine for implementing a (near-) real-time digital surveillance system. A digital surveillance system that uses Internet resources has enormous potential to monitor disease outbreaks in the early phase.

Keyword analysis of cardiovascular and cerebrovascular disease based on network search / 中华健康管理学杂志

Objective To investigate network user's attention rate of the keyword“cardiovascular and cerebrovascular diseases”(CCD). Methods The keyword was analyzed by using Baidu index. Results The overall trend of keyword search rose slightly. The mobile search grew significantly. During the Spring Festival overall search decreased significantly. According to clustering analysis the word“symptom”was most often used with“CCD”;30 to 39 years old age group accounted for about 50%of total number of online search. Men accounted for 70% of all keyword search, women accounted for 30%. The rankings of CCD search number were more on top in the economically developed area. Conclusion It is necessary to strengthen publicity and education to prevent the happening of CCD during Spring Festival. Men need to raise awareness about CCD. The construction of rural informatization should be speeded up. Network education could be used as a part of method for the primary and secondary prevention of CCD. Keyword analysis method could effectively analyze the network user search behavior and find information they need.

GEE: An Informatics Tool for Gene Expression Data Explore / 대한의료정보학회지

OBJECTIVES: Major public high-throughput functional genomic data repositories, including the Gene Expression Omnibus (GEO) and ArrayExpress have rapidly expanded. As a result, a large number of diverse high-throughput functional genomic data retrieval systems have been developed. However, high-throughput functional genomic data retrieval remains challenging. METHODS: We developed Gene Expression data Explore (GEE), the first powerful, flexible web and mobile search application for searching whole-genome epigenetic data and microarray data in public databases, such as GEO and ArrayExpress. RESULTS: GEE provides an elaborate, convenient interface of query generation competences not available via various high-throughput functional genomic data retrieval systems, including GEO, ArrayExpress, and Atlas. In particular, GEE provides a suitable query generator using eVOC, the Experimental Factor Ontology (EFO), which is well represented with a variety of high-throughput functional genomic data experimental conditions. In addition, GEE provides an experimental design query constructor (EDQC), which provides elaborate retrieval filter conditions when the user designs real experiments. CONCLUSIONS: The web version of GEE is available at http://www.snubi.org/software/gee, and its app version is available from the Apple App Store.

Application of Information Technology in Medical Informatics Education / 医学信息学杂志

The paper analyzes the application advantages of information technology in medical informatics education.Takes Shanghai Sipo Polytechnic College as an example, it elaborates the specific application of information technology in medical informatics education, including immersion education based on 3D virtual reality technology, two-way video teaching and other aspects.It also gives solutions on current existing problems.

Electronic resources for searching health scientific information: database publication type / Recursos electrónicos para la búsqueda de información científica en salud: tipos de bases de datos de publicaciones

Despite the large amount of information available on the Internet, getting valid scientific information and evidence may not be a simple task. The aim of this study was to identify the different databases, search engines and libraries available to retrieve published scientific information in health sciences Database publication type. A search on Altavista, Google and Yahoo, Ixquick and Copérnico metasearch engines and in the database "Documents in Information Science" (DoIS) was performed. The search strategy used the terms "database management systems", "medical informatics", "search engine" and "decision making". A summary document of the information collected was created. Addresses found were grouped into: databases, search engines and libraries. The search performed returned 46 electronic resources: 25 databases, 8 search engines and 13 libraries. There is a variety of resources for searching health scientific information. Knowing the diversity of available options aids the user in access to information to generate research and health-related decision-making.

A pesar de la gran cantidad de información disponible en Internet, la obtención de información científica válida y evidente puede no ser una tarea sencilla. El objetivo fue identificar las diferentes bases de datos, motores de búsqueda y bibliotecas disponibles para recuperar la información científica publicada en ciencias de la salud. Estudio de publicación de base de datos. Se realizó una búsqueda en los metabuscadores Altavista, Google, Yahoo, Ixquick y Copérnico, y en la base de datos "Documents in Information Science" (DoIS). La estrategia de búsqueda utilizó los términos "sistemas de gestión de base de datos", "informática médica", "motor de búsqueda" y "toma de decisiones". Se creó un documento de síntesis de la información recogida. Las direcciones halladas se agruparon en: bases de datos, motores de búsqueda y bibliotecas. A partir de la búsqueda realizada se encontraron 46 fuentes electrónicas: 25 bases de datos, 8 motores de búsqueda y 13 bibliotecas. Existe una gran variedad de recursos para la búsqueda de información científica en salud. Conocer la diversidad de opciones disponibles en el acceso a la información ayuda al usuario para llevar adelante su investigación y para poder realizar la toma de decisiones relacionada con la salud.

El fraude en lappublicación científica: una polémica que no cesa / Fraud in scientffic publishing: a controversy that does not cease / A fraude na puliicação científica: uma polêmica que não cessa

El fraude en la publicación científica supone un lastre para la divulgación de los trabajos de investigación, cuyas causas conviene analizar. A la conducta reprobable de los investigadores que lo cometen puede sumarse el sesgo que las propias publicaciones científicas y buscadores de Internet pueden introducir en los procesos de selección, validación y cálculo de los factores de impacto de los trabajos presentados y publicados. Este artículo ofrece una reflexión al respecto, a raíz de nuevos datos relacionados recientemente publicados.

Fraud in scientific publishing is a drag on the release of research papers, the causes of which should be analyzed. To the reprehensible conduct of researchers who commit fraud one can add the bias the scientific publications and the Internet search engines can introduce to the processes of selection, validation, and calculation of the impact factors of papers already submitted and published. This article offers a reflection on the issue, as a result of related new data having recently been published.

A fraude na publicação científica supõe um obstáculo para a divulgação dos trabalhos de pesquisa, cujas causas convém analisar. À conduta reprovável dos pesquisados que o cometem, pode ser somado o inclinação que as próprias publicações científicas e buscadores de internet podem introduzir nos processos de seleção, validação e cálculo dos fatores de impacto dos trabalhos apresentados e publicados. Este artigo oferece uma reflexão a respeito disso, com base em novos dados relacionados recentemente publicados.

Development of Health Information Search Engine Based on Metadata and Ontology / 대한의료정보학회지

OBJECTIVES: The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. METHODS: Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set. RESULTS: A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines. CONCLUSIONS: Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.

Herramientas de productividad para el profesional médico y la investigación / Productivity tools for professional medical and research

Mantenerse informado sobre las nuevas evidencias científicas es muy importante para los profesionales médicos, tanto en la práctica clínica diaria como para la investigación. El presente artículo pretende realizar una revisión de las herramientas informáticas más utilizadas, así como: las fuentes de información en salud tan diversas y actualmente disponibles a través de la web, los recursos de búsqueda más comunes como los buscadores generales, buscadores especializados, bases de datos bibliográficas, recursos bibliográficos de organizaciones nacionales e internacionales. También, el uso de gestores de referencias bibliográficas informatizadas y los programas o aplicativos para un adecuado análisis estadístico de la información que permiten realizar un conjunto ilimitado de procedimientos estadísticos de manera sincronizada. Asimismo, las diversas formas de almacenamiento basado en redes, donde los datos están alojados en espacios de almacenamiento virtual. Finalmente, se mencionan algunas oportunidades de capacitación online en diferentes campos de la investigación científica de prestigiosas instituciones a nivel mundial.

Keep updated of new scientific evidence is very important for physicians in both clinical practice and research, the aim is to review the most commonly used tools. For example, health information sources that are as diverse and currently available through the web, the most common search resources are general search engines, specialized search engines, bibliographic databases, library resources from national and international organizations. Also, there is a need to manage references in a more efficient and agile way, so it is useful to use computerized bibliographic reference managers, and appropriate statistical analysis of information or applications programs that allow an unlimited set of procedures statistical synchronized. Also, there are many forms of network-based storage, where data are hosted on virtualized storage space. Finally, are some online training opportunities in different fields of scientific research from prestigious worldwide institutions.

Improving the bilingual teaching effect of cell biology by making good use of network resource / 中华医学教育探索杂志

Network resources can exactly make up for it. Making good use of the search engine can expand extracurricular professional English learning for students;provide teachers with lesson plan-ning material and learners with the correct pronunciation of the vocabulary. Network digital repository offer students learning platform and PBL teaching in the QQ group can be tried. Electronic dictionary software helps to read the professional literature and E-mail is a convenient means of communication. These help to create language environment and enhance bilingual teaching effect.

Medical literature search dot com.

The Internet provides a quick access to a plethora of the medical literature, in the form of journals, databases, dictionaries, textbooks, indexes, and e-journals, thereby allowing access to more varied, individualized, and systematic educational opportunities. Web search engine is a tool designed to search for information on the World Wide Web, which may be in the form of web pages, images, information, and other types of files. Search engines for internet-based search of medical literature include Google, Google scholar, Yahoo search engine, etc., and databases include MEDLINE, PubMed, MEDLARS, etc. Commercial web resources (Medscape, MedConnect, MedicineNet) add to the list of resource databases providing some of their content for open access. Several web-libraries (Medical matrix, Emory libraries) have been developed as meta-sites, providing useful links to health resources globally. Availability of specific dermatology-related websites (DermIs, DermNet, and Genamics Jornalseek) is useful addition to the ever growing list of web-based resources. A researcher must keep in mind the strengths and limitations of a particular search engine/database while searching for a particular type of data. Knowledge about types of literature and levels of detail available, user interface, ease of access, reputable content, and period of time covered allow their optimal use and maximal utility in the field of medicine.

El buscador de Internet como objeto cultural: la perspectiva de los alumnos / The Internet search engine as a cultural object: students' perspective

Los motores de búsqueda son objetos culturales que presentan, como toda herramienta destinada a la organización y circulación de la información, desafíos de carácter semiótico y epistémico así como sesgos ideológicos. El presente artículo analiza el modo en que alumnos de escuela primaria conceptualizan el modo de funcionamiento de un buscador que usan asiduamente. La perspectiva teórica adoptada considera los aportes de la tradición sociohistórica vigotskiana y del constructivismo relacional piagetiano. El diseño metodológico se inscribe en un estudio cualitativo de casos en el que se emplean dos instrumentos de recolección: observaciones de clase (en el aula y en la sala de informática), y entrevistas clínico-críticas posteriores. Los resultados evidencian que en situaciones didácticas donde el buscador se convierte en objeto de análisis, los alumnos toman conciencia de que la construcción de las palabras clave los ubica en una situación de escritura para un "lector robot" que no coopera en la interpretación. Ante este problema, se proponen usar una sintaxis en la que las palabras se enlazan con signos diversos a los que adjudican funciones vinculadas con sus conocimientos del lenguaje natural. La contradicción se produce porque los motores de búsqueda utilizan una lógica más próxima a las matemáticas.

Search engines are cultural objects which represent semiotic and epistemological challenges as well as ideological bias, like every tool destined to the organization and circulation of information. This article analyzes the conceptualizations of elementary school students about a search engine that frequently used. The adopted theoretical perspective considers both the contribution of the Vigotskian sociohistorical tradition and the Piagetian relational constructivism. The methodological design consisted of a qualitative study of cases. Two data collection instruments are used: observations in the classroom and in the computer lab and post-clinical-critical interviews. The results show that in those didactic situations where the search engine becomes an object of analysis, the students develop awareness of the fact that the construction of keywords places them in a writing situation for a "robot reader" that does not cooperate in the interpretation. In view of this problem, they propose to use a syntax in which the words connect with different signs. But the students give to these signs functions linked with their own knowledge of the natural language. The contradiction occurs because the search engines use logic close to the mathematical languages.

GOPubMed: research on information retrieval and analysis based on gene ontology and MeSH / 医学信息学杂志

GoPubMed is an intelligent search engine based on PubMed aiming at realizing visualization and post - processing the re-salts. The paper analyzes its performance from three aspects, including working principle, key technique and extended functions. As the result of the research, it reveals that GoPubMed classifies the retrieval results from PubMed by semantic classification tools based on se-mantic web, namely GO and MESH, therefore, it helps users find high related literature very quickly. The combination between semantic web and biomedical information retrieval is realized perfectly, and visualization statistical analysis is gradually unveiled from multiple an-gles.