Identificación de indicios de descubrimientos científicos en artículos biomédicos mediante análisis de contenidos

We report here a methodological proposal consisting of the comparison between the content of scientific articles, represented by the conclusion of the article in a format as phenomenon “1”- Relation – Phenomenon “2”, with the content of a public Web-based ontology. This comparison was performed in order to identify traces of scientific discovery reported by the article even before its reference in the literature. Eighty-nine biomedical articles were manually analyzed. The results indicate that if the contents of the conclusion of an article are poorly represented in the ontology, this may be an indication of a significant discovery. One indication supporting this hypothesis is the fact that the article describing the discovery of the telomerase enzyme dates from 1985, but the term “telomerase” was only included in the MeSH ten years later, in 1995.Este trabajo propone un método para la identificación de indicios de descubrimientos (ID) significativos que suponen avances relevantes en el conocimiento científico en el área biomédica. El método de identificación se realiza a través de la comparación de las conclusiones de artículos de esta área con el contenido de bancos de datos terminológicos públicos en la Web. Lo que se pretende reconocer ID presentes en un artículo antes incluso de que esté referenciado por la literatura, con el fin de prever las posibilidades de impacto que haya en el artículo. Se analizaron manualmente 89 artículos. Los resultados obtenidos indican si los contenidos de la conclusión de un artículo están pobremente representados en la ontología, esto puede que sea un indicio de descubrimiento significativo. Un indicio en favor de esta hipótesis es el hecho de que el artículo que marca el descubrimiento de la enzima telomerasa es de 1985, pero el término “telomerasa” sólo se incluyó en el MeSH tras 10 años

Representing and coding the knowledge embedded in texts of Health Science Web published articles

Despite the fact that electronic publishing is a common activity to scholars electronic journals are still based in the print model and do not take full advantage of the facilities offered by the Semantic Web environment. This is a report of the results of a research project with the aim of investigating the possibilities of electronic publishing journal articles both as text for human reading and in machine readable format recording the new knowledge contained in the article. This knowledge is identified with the scientific methodology elements such as problem, methodology, hypothesis, results, and conclusions. A model integrating all those elements is proposed which makes explicit and records the knowledge embedded in the text of scientific articles as an ontology. Knowledge thus represented enables its processing by intelligent software agents The proposed model aims to take advantage of these facilities enabling semantic retrieval and validation of the knowledge contained in articles. To validate and enhance the model a set of electronic journal articles were analyzed

Sleep study, respiratory mechanics, chemosensitive response and quality of life in morbidly obese patients undergoing bariatric surgery: a prospective, randomized, controlled trial

<p>Abstract</p> <p>Background</p> <p>Obesity is a major public health problem in both developed and developing countries alike and leads to a series of changes in respiratory physiology. There is a strong correlation between obesity and cardiopulmonary sleep disorders. Weight loss among such patients leads to a reduction in these alterations in respiratory physiology, but clinical treatment is not effective for a long period of time. Thus, bariatric surgery is a viable option.</p> <p>Methods/Design</p> <p>The present study involves patients with morbid obesity (BMI of 40 kg/m²or 35 kg/m²to 39.9 kg/m²with comorbidities), candidates for bariatric surgery, screened at the Santa Casa de Misericórdia Hospital in the city of Sao Paulo (Brazil). The inclusion criteria are grade III morbid obesity, an indication for bariatric surgery, agreement to participate in the study and a signed term of informed consent. The exclusion criteria are BMI above 55 kg/m², clinically significant or unstable mental health concerns, an unrealistic postoperative target weight and/or unrealistic expectations of surgical treatment. Bariatric surgery candidates who meet the inclusion criteria will be referred to Santa Casa de Misericórdia Hospital and will be reviewed again 30, 90 and 360 days following surgery. Data collection will involve patient records, personal data collection, objective assessment of HR, BP, neck circumference, chest and abdomen, collection and analysis of clinical preoperative findings, polysomnography, pulmonary function test and a questionnaire on sleepiness.</p> <p>Discussion</p> <p>This paper describes a randomised controlled trial of morbidly obese patients. Polysomnography, respiratory mechanics, chemosensitive response and quality of life will be assessed in patients undergoing or not undergoing bariatric surgery.</p> <p>Trial Registration</p> <p>The protocol for this study is registered with the Brazilian Registry of Clinical Trials - ReBEC (RBR-9k9hhv).</p

O 6º objetivo da agenda dos ODS da ONU: Debates sobre água segura y saneamento básico universalizado.

El proyecto de Trabajo Comunal Universitario (TCU) No. 540: Procesos pedagógicos y didácticos para la enseñanza de los derechos humanos y la convivencia pacífica, coordinado por la Dra. Marcela Moreno Buján, con la cooperación académica del proyecto de extensión docente Grupo de Pesquisa Derecho y Sustentabilidad (GPDS), coordinado por el Dr. Carlos Peralta Montero, han unido esfuerzos para organizar y publicar la Colección “Comunidad Académica y COVID 19”. Esta colección, conformada por tres volúmenes, forma parte de la sistematización de experiencias relacionadas con las temáticas abordadas por el TCU No. 540 y el GPDS. Este volumen está compuesto por doce capítulos, desarrollados por veintiocho académicos costarricenses, brasileños y colombianos donde se reflexiona de manera interdisciplinaria sobre el sexto objetivo de la agenda de los Objetivos de Desarrollo Sostenible (ODS) de la ONU en el contexto de pandemia actual.UCR::Vicerrectoría de Acción Social::Trabajo Comunal Universitario (TCU

A proposed model of knowledge representation and the coding of knowledge embedded in texts of Web published scientific articles

This article reports results of a research project with the aim of investigating the possibilities of electronic publishing journal articles both as text for human reading and in machine readable format recording the new knowledge contained in the article. This knowledge is identified with the scientific methodology elements such as problem, methodology, hypothesis, results, and conclusions. A model integrating all those elements is proposed which makes explicit and records in XML the article contribution, new knowledge and scientific novelty. The use of XML language to represent this knowledge enables its processing by intelligent software agents Despite the fact that electronic publishing is a common activity to scholars electronic journals are still based in the print model and do not take full advantage of the facilities offered by the Web environment. The proposed model aims to take advantage of these facilities enabling semantic retrieval and validation of the knowledge contained in articles. To validate and enhance the model a set of electronic journal articles were analyzed

Identificación de los rasgos de descubiertas científicas en artículos biomédicos

We report here a methodological proposal consisting of the comparison between the content of scientific articles, represented by the conclusion of the article in a format as phenomenon �1�- Relation � Phenomenon �2�, with the content of a Web public ontology. This comparison was performed in order to identify traces of scientific discovery reported by the article even before the reference in the literature. Seventy-five biomedical articles were manually analyzed. The results indicate that if the contents of the conclusion of an article are poorly represented in the ontology, this may be an indication of a significant discovery. One indication supporting this hypothesis is the fact that the article describing the discovery of the telomerase enzyme is from 1985, but the term �telomerae� was included in the MeSH only in 1985, ten years later.Este trabajo propone un método para la identificación de indicios de descubiertas significativas (ID) en el área biomédica a través de la comparación de la principal conclusión de artículos de esta área con el contenido de una ontología pública en la Web. De esta manera, se hace posible reconocer ID relatado en el artículo aunque antes de que se lo haga referencia por la literatura. Fueron analizados manualmente 75 artículos. Los resultados obtenidos indican que si los contenidos de la conclusión de un artículo están pobremente representados en la ontología, esto puede ser un indicio de descubierta significativa. Un indicio a favor de esa hipótesis es el hecho de que el artículo que marca la descubierta de la enzima telomerase es de 1985, pero el término �telomerase� sólo se incluyó en el MeSH tras 10 años

A proposed model of knowledge representation and the coding of knowledge embedded in texts of Web published scientific articles

This article reports results of a research project with the aim of investigating the possibilities of electronic publishing journal articles both as text for human reading and in machine readable format recording the new knowledge contained in the article. This knowledge is identified with the scientific methodology elements such as problem, methodology, hypothesis, results, and conclusions. A model integrating all those elements is proposed which makes explicit and records in XML the article contribution, new knowledge and scientific novelty. The use of XML language to represent this knowledge enables its processing by intelligent software agents Despite the fact that electronic publishing is a common activity to scholars electronic journals are still based in the print model and do not take full advantage of the facilities offered by the Web environment. The proposed model aims to take advantage of these facilities enabling semantic retrieval and validation of the knowledge contained in articles. To validate and enhance the model a set of electronic journal articles were analyzed

Ontological and conceptual bases for a scientific knowledge model in biomedical articles - DOI: 10.3395/reciis.v3i1.240en

Scientific articles published in electronic format are knowledge bases, specially in Medicine. An obstacle to semantic processing of this knowledge by computers is that, in spite of their digital format, articles are in text format for human reading and processing. A model is proposed to electronic publishing scientific articles both in textual format and in machine “understandable” format, in ontology format. The model is based in insights from Philosophy and Methodology of Science and in the results of analysis of 75 scientific articles in Medicine. Software agents can process the content of an article thus enabling semantic retrieval, consistence checking and the identification of new discoveries