4,348 research outputs found
Título: Mercurio volante
No full textEl 1er. t. reproduce en facs. la port. y retr. de la ed. principeV. 1 (3GR 7379): Historia de la Nuevo Mexico -- V. 2 (3GR 7380): Documentos relativos a Gaspar de Villagrá compilados por José Fernando Ramírez. Memorial que...presenta a...Felipe Cuarto...hecho por...Alonso de Benavides...tratase en el de los tesoros espirituales..publicado en Madrid, 1630. Documentos ineditos tomados de un volumen de papeles varios que se conserva en la Biblioteca del Museo Nacional y que perteneció a Agustin Fischer. Fragmentos referentes al Nuvo Mexico...del libro "Historia de las cosas muy notables, ritos y costumbres del gran reyno de la China" hecha por Juan Gonzalez de Mendoza, impreso en Madrid, 1586. Mercurio volante con la noticia de la recuperacion de las provincias del Nuevo Mexico conseguida por Diego de Vargas Zapata y Luxan Ponze de Leon...escriviola D. Carlos de Siguenza y Gongor
Fernando Henrique Cardoso e o pensamento político brasileiro
No full textTese (doutorado) - Universidade Federal de Santa Catarina, Centro de Filosofia e Ciências Humanas, Programa de Pós-Graduação em Sociologia Política, Florianópolis, 2015.A construção do legado de Fernando Henrique Cardoso tem transcorrido a partir do signo de rupturas e dicotomias estruturantes, características que se articulam em torno da ideia da transição da atividade intelectual para a atividade política, num processo que reforça traços marcantes da imaginação política brasileira. Partindo da crítica dessa visão, este trabalho investiga o que o processo de formação do legado do autor como levado a cabo até aqui tem a dizer sobre os modos pelos quais se produz e se reinventa o ?pensamento político brasileiro?, ou, em outras palavras, o que sua trajetória intelectual individual representa em relação à trajetória coletiva de pensamento designada por esta expressão. Duas teses interpretativas principais são desenvolvidas ao longo deste trabalho: a primeira, de que o fio de continuidade e de unidade entre os diversos momentos da trajetória intelectual de Cardoso, negado pelas abordagens que até o presente vão dando conta da sistematização de seu legado, pode ser reconstruído e recuperado se a ênfase da análise recair na especificidade política de seus escritos, reconstrução e recuperação que, obviamente, não se furtam a considerar possíveis inconsistências, incoerências e mudanças nas crenças ao longo de sua trajetória; e a segunda, de que tal pensamento político, sem desconsiderar outras fontes genericamente rotuladas como ?universais?, estrutura-se a partir de um diálogo seletivo, sistemático e contínuo com algumas das principais matrizes de interpretação do político no país, diálogo este que, de um lado, torna possível evidenciar a existência de uma cosmovisão a atuar como ?fio condutor? para o conjunto de seu pensamento (conferindo a ele um sentido de coerência) e, de outro, entender o impacto ressignificador desse pensamento sobre tais matrizes. O trabalho está organizado em três partes: na primeira, produz-se uma reflexão teórico-metodológica do campo do pensamento político brasileiro; na segunda, discute-se a especificidade da reflexão política do autor a partir de dois momentos distintos (o do estabelecimento e o da consolidação das suas crenças políticas); e na terceira, num exercício de tentar aproximar as duas primeiras, discute-se a especificidade da inscrição do pensamento político do autor no campo do pensamento político brasileiro a partir de duas variáveis: as filiações e as recepções.Abstract : The construction of Fernando Henrique Cardoso?s legacy has been developed based on the mark of structuring ruptures and dichotomies, characteristics that are both articulated around the idea of the transition from the intellectual to the political activity, in a process that reinforces strong features of the Brazilian political imagination. Anchored in a criticism of this view, this study investigates what the process of formation of the author?s legacy developed until the present moment reveal about the forms through which the ?Brazilian political thought? is produced and reinvented, or, in other words, what his personal intellectual trajectory represents in relation to the collective thought trajectory designated by this expression. Two main interpretative theses are tested throughout this work: the first one is that the continuity and the unity between the several moments of Cardoso?s intellectual trajectory (denied by the approaches that, until the present moment, have been systematizing his legacy) can be reconstructed and recuperated if the emphasis of the analysis lies in the political specificity of his writings - assuming that both the reconstructing and the recuperation, obviously, do not fail to consider possible inconsistencies, incoherences and changes in the beliefs of the author throughout his trajectory; and second , that such political thought , without disregarding other sources generally labeled as ?universal? , is structured from a selective, systematic and continuous dialogue with some of the main forms of interpretation of the policy in the country, this dialogue , on the one hand , makes it possible to show the existence of a worldview to act as ?common thread? for all of his thought (giving him a sense of coherence), and on the other, to understand the impact of this ressignificador thinking about such matrices. The work is organized in three parts: in the first, the field of the Brazilian political thought is theoretical and methodologically questioned; in the second part, the specificity of the author?s political reflection is discussed based on two different moments (the establishment and the consolidation of his political beliefs); and, in the third part, in an attempt of approximating the two previous parts, the specificity of the insertion of the author?s political thought in the Brazilian political thought field is discussed, which is based on two variables: the filiations and the receptions
GONZALEZ, Martín V.
No full textTelegram from Mr. Martín V. González to Gen. Alvaro Obregón, informing him of Mr. Juan Garza García’s political maneuvers against him. / Telegrama del Sr. Martín V. González al Gral. Alvaro Obregón, informándole de las maniobras políticas del Sr. Juan Garza García en contra del Gral. Obregón
GONZALEZ, Martín V.
No full textTelegram from Mr. Martín V. González to Gen. Alvaro Obregón, informing him of Mr. Juan Garza García’s political maneuvers against him. / Telegrama del Sr. Martín V. González al Gral. Alvaro Obregón, informándole de las maniobras políticas del Sr. Juan Garza García en contra del Gral. Obregón
Fernando de Castro and the discovery of the arterial chemoreceptors
No full textThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).When de Castro entered the carotid body (CB) field, the organ was considered to be a small autonomic ganglion, a gland, a glomus or glomerulus, or a paraganglion. In his 1928 paper, de Castro concluded: "In sum, the Glomus caroticum is innervated by centripetal fibers, whose trophic centers are located in the sensory ganglia of the glossopharyngeal, and not by centrifugal [efferent] or secretomotor fibers as is the case for glands; these are precisely the facts which lead to suppose that the Glomus caroticum is a sensory organ." A few pages down, de Castro wrote: "The Glomus represents an organ with multiple receptors furnished with specialized receptor cells like those of other sensory organs [taste buds?]...As a plausible hypothesis we propose that the Glomus caroticum represents a sensory organ, at present the only one in its kind, dedicated to capture certain qualitative variations in the composition of blood, a function that, possibly by a reflex mechanism would have an effect on the functional activity of other organs... Therefore, the sensory fiber would not be directly stimulated by blood, but via the intermediation of the epithelial cells of the organ, which, as their structure suggests, possess a secretory function which would participate in the stimulation of the centripetal fibers." In our article we will recreate the experiments that allowed Fernando de Castro to reach this first conclusion. Also, we will scrutinize the natural endowments and the scientific knowledge that drove de Castro to make the triple hypotheses: the CB as chemoreceptor (variations in blood composition), as a secondary sensory receptor which functioning involves a chemical synapse, and as a center, origin of systemic reflexes. After a brief account of the systemic reflex effects resulting from the CB stimulation, we will complete our article with a general view of the cellular-molecular mechanisms currently thought to be involved in the functioning of this arterial chemoreceptor. © 2014 Gonzalez, Conde, Gallego-Martín, Olea, Gonzalez-Obeso, Ramirez, Yubero, Agapito, Gomez-Niño, Obeso, Rigual and Rocher.This work was supported by the Spanish Ministry of Economy and Competitiveness (Grant number BFU2012-37459 to Constancio Gonzalez), by Spanish Ministry of Health-Institute Carlos III (Grant CIBER CB06/06/0050 to Constancio Gonzalez) and by PTDC/SAU-ORG/111417/2009 (Portugal to Silvia V. Conde).Peer Reviewe
Observatorio de bibliometría y cienciometría USTA Métricas de autor FICHA BIBLIOMÉTRICA Cristian Fernando Tellez Piñerez
No full textInforme de las métricas de autor del Dr. Cristian Fernando Tellez Piñerez de las
publicaciones indexadas en Google Académico cuyo objetivo es entregar un insumo
para el fortalecimiento de las capacidades y potencialidades de los autores de la
Universidad Santo Tomás en el posicionamiento y visibilidad de sus publicaciones.Report of the author metrics Cristian Fernando Tellez Piñerez of the publications
indexed in Google Scholar whose objective is to provide an input for the
strengthening of the capacities and potentialities of the authors of the Santo Tomás
University in the positioning and visibility of their publications.http://unidadinvestigacion.usta.edu.c
Historia de la Nueva México con un apendice de documentos y opúsculos
No full textV. 1 (3GR 7379): Historia de la Nuevo Mexico -- V. 2 (3GR 7380): Documentos relativos a Gaspar de Villagrá compilados por José Fernando Ramírez. Memorial que...presenta a...Felipe Cuarto...hecho por...Alonso de Benavides...tratase en el de los tesoros espirituales..publicado en Madrid, 1630. Documentos ineditos tomados de un volumen de papeles varios que se conserva en la Biblioteca del Museo Nacional y que perteneció a Agustin Fischer. Fragmentos referentes al Nuvo Mexico...del libro "Historia de las cosas muy notables, ritos y costumbres del gran reyno de la China" hecha por Juan Gonzalez de Mendoza, impreso en Madrid, 1586. Mercurio volante con la noticia de la recuperacion de las provincias del Nuevo Mexico conseguida por Diego de Vargas Zapata y Luxan Ponze de Leon...escriviola D. Carlos de Siguenza y GongoraEl 1er. t. reproduce en facs. la port. y retr. de la ed. princip
GONZALEZ, Héctor (B.A.); R. COVARRUBIAS y F.L. GARCIA
No full textTelegram from Mr. Héctor González, Mr. R. Covarrubias, and Mr. F.L. García to Gen. Alvaro Obregón, informing of having formed groups in favor of his candidacy in Baja California. Reply thanking him. Letter from Mr. Roberto V. Pesquiera to Mr. Fernando Torreblanca introducing Héctor González, who will provide reports about the situation in Baja California. Files G-31 and G-017 / Telegrama de los Srs. Héctor González, R. Covarrubias y F.L. García al Gral. Alvaro Obregón, informando haber formado clubes en Baja California en pro de su candidatura. Respuesta agradeciendo. Carta del Sr. Roberto V. Pesqueira al Sr. Fernando Torreblanca presentando al Lic. Héctor González, quien dará informes sobre situación en Baja California. Exps. G-31 y G-01
Predicting the etiology of chest pain in the emergency department using synthetic data and machine learning
No full textIntroducción: El dolor en el tórax es una de las principales causas de ingreso a los servicios de urgencias y representa un desafío diagnóstico debido a la amplia gama de etiologías que incluye tanto condiciones graves como benignas. La identificación rápida y precisa de la causa subyacente es crucial para optimizar el tratamiento, reducir complicaciones y mejorar la asignación de recursos en los servicios de urgencias. Este estudio tuvo como objetivo desarrollar un modelo de predicción basado en aprendizaje automático supervisado para establecer la etiología del dolor torácico, entrenado mediante el uso de un conjunto de datos sintéticos creados a partir de modelos epidemiológicos basados en publicaciones en su mayoría locales, y etiquetados por un grupo de médicos especialistas (urgenciólogos, internistas e intensivistas).
Métodos: En la primera fase del estudio se empleó la información epidemiológica disponible principalmente en bases de datos bibliográficas latinoamericanas y de universidades de Colombia para obtener descripciones sobre la prevalencia de antecedentes patológicos, manifestaciones clínicas y hallazgos al examen físico de nueve enfermedades que pueden presentarse con dolor torácico (síndrome coronario agudo, tromboembolia pulmonar, disección aortica aguda, emergencia hipertensiva, insuficiencia cardíaca aguda, neumonía, pericarditis, otras causas gastrointestinales y costocondritis), posteriormente se implementaron diversos métodos de programación en lenguaje Python para la construcción de un conjunto de datos para cada una de las enfermedades, obteniendo como resultado una base de datos conformada por 500 pacientes (4500 observaciones en total para las nueve enfermedades), cada uno de los cuales contenía información de 79 campos o variables (epidemiológicas y clínicas).
En la siguiente fase se estableció la construcción del caso clínico a partir de las observaciones registradas en las bases de datos, empelando programación estructurada para obtener como resultado una viñeta clínica por cada observación, esto con el fin de facilitar el proceso de revisión por parte de los médicos especialistas.
En la tercera fase dichas viñetas fueron aleatorizadas en grupos de 450 y entregadas en formato de Microsoft Excel a 10 médicos especialistas para su etiquetado, que consistía en consignar el diagnóstico que consideran más probable de un listado de nueve enfermedades.
En cuarta fase se estableció la construcción del modelo de predicción de dolor torácico para las nueve enfermedades, a partir de la base de datos completa (4500 observaciones), se aleatorizó y se tomaron 3600 (80%) para entrenar diferentes modelos de machine learning (Random Forest, XGBoost, SVM, etc) y posteriormente se realizó una validación con los 900 casos restantes (20%). Adicionalmente se midió el Kappa de Cohen con respecto a las etiquetas originales de acuerdo con el modelo epidemiológico desarrollado en Python, comparando el rendimiento entre médicos y los modelos de machine learning.
Resultados: Se obtuvo una base de datos sintética con 4500 observaciones cada una con su respectiva etiqueta por parte de un equipo de médicos especialistas. Adicionalmente se evaluaron múltiples algoritmos de machine learning, incluyendo Random Forest, Gradient Boosting, LightGBM, XGBoost, CatBoost y Máquinas de vectores de soporte (SVM). Los resultados mostraron que el modelo basado en SVM presentó el mejor desempeño, alcanzando una sensibilidad promedio de 87.6%, especificidad promedio de 98.4%, valor predictivo positivo promedio de 88.5% y valor predictivo negativo promedio de 98.5% con respecto a los datos etiquetados por el grupo médico; así como un área bajo la curva (AUC) de 0.99 y una exactitud de 88% lo que refleja una excelente capacidad para diferenciar entre las nueve etiologías consideradas en el estudio, reforzando su potencial como herramienta de apoyo clínico. En comparación con lo anterior, la exactitud de los médicos fue de 72% con respecto al diagnóstico establecido previo al etiquetado.
Conclusiones: Los datos sintéticos prometen ser una alternativa válida para superar las limitaciones de acceso a grandes volúmenes de información médica, proporcionando una base sólida para entrenar modelos predictivos. Por otro lado, el modelo basado en SVM se posiciona como una herramienta eficaz que podría apoyar el diagnóstico diferencial del dolor torácico en entornos de urgencias. Sin embargo, es necesario validar esto incluyendo tanto análisis de usabilidad como de desempeño diagnóstico en escenarios clínicos.Introduction: Chest pain is one of the leading causes of emergency department admissions and represents a diagnostic challenge due to its wide range of etiologies, including both serious and benign conditions. Rapid and accurate identification of the underlying cause is crucial to optimize treatment, reduce complications, and improve resource allocation in emergency departments. This study aimed to develop a supervised machine learning-based prediction model to determine the etiology of chest pain. This model was trained using a synthetic dataset created from epidemiological models based on mostly local publications and labeled by a group of specialist physicians (emergency physicians, internists, and intensivists).
Methods: In the first phase of the study, epidemiological information available primarily in Latin American bibliographic databases and those from Colombian universities was used to obtain descriptions of the prevalence of pathological history, clinical manifestations, and physical examination findings for nine diseases that can present with chest pain (acute coronary syndrome, pulmonary thromboembolism, acute aortic dissection, hypertensive emergency, acute heart failure, pneumonia, pericarditis, other gastrointestinal causes, and costochondritis). Various programming methods in Python were subsequently implemented to construct a dataset for each of the diseases, resulting in a database consisting of 500 patients (4,500 observations in total for the nine diseases), each of which contained information on 79 fields or variables (epidemiological and clinical). In the next phase, the clinical case was constructed from the observations recorded in the databases, using structured programming to produce a clinical vignette for each observation. This was done to facilitate the review process by the specialist physicians.
In the third phase, these vignettes were randomized into groups of 450 and delivered in Microsoft Excel format to 10 specialist physicians for labeling. The labeling consisted of recording the diagnosis they considered most likely from a list of nine diseases.
In the fourth phase, the chest pain prediction model was built for the nine diseases. Based on the entire database (4,500 observations), the model was randomized, and 3,600 (80%) were selected to train different machine learning models (Random Forest, XGBoost, SVM, etc.). Validation was then performed on the remaining 900 cases (20%). Cohen's Kappa was also measured against the original labels according to the epidemiological model developed in Python, comparing the performance of physicians and machine learning models.
Results: A synthetic database with 4,500 observations, each with its respective label, was obtained by a team of specialist physicians. Multiple machine learning algorithms were also evaluated, including Random Forest, Gradient Boosting, LightGBM, XGBoost, CatBoost, and Support Vector Machines (SVM). The results showed that the SVM-based model performed best, achieving an average sensitivity of 87.6%, an average specificity of 98.4%, an average positive predictive value of 88.5%, and an average negative predictive value of 98.5% against the data labeled by the medical group. It also had an area under the curve (AUC) of 0.99 and an accuracy of 88%, reflecting an excellent ability to differentiate between the nine etiologies considered in the study, reinforcing its potential as a clinical support tool. Compared to the previous results, physicians' accuracy was 72% with respect to the diagnosis established prior to labeling.
Conclusions: Synthetic data promises to be a valid alternative to overcome the limitations of access to large volumes of medical information, providing a solid foundation for training predictive models. Furthermore, the SVM-based model is positioned as an effective tool that could support the differential diagnosis of chest pain in emergency settings. However, this requires validation, including both usability and diagnostic performance analyses in clinical settings
Heuristic Schelling: economy of organized crime
No full textThis article proposes a reading of the armed conflict from an evolutionary design that takes into account the concept of private protection agencies in the works of Schelling. Their aim is to assess the dynamics of conflict and changes from its author's scientific output. A context of conflicts that includes new expressions of violence and the relative failure of the paramilitary reintegration involves using new analytical models (argumentation, game theory and inconsistent information). The recent evolution of emerging gangs and their expansion into areas that were paramilitary camps requires monitoring not only of the government and the authorities, but those investigating the conflict in the present tense. The author provides heuristic research support from Schelling’s theory of strategy, recent contributions to the relationship between organized crime and drug cartels.Colombia, Government, Civil War, Latin America, Security, Protection Agencies.
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