Eficacia de una técnica cognitivo-conductual en pacientes quirúrgicos

El objetivo del estudio consistió en diseñar y comprobar la eficacia de una técnica psicológica en pacientes quirúrgicos, para reducir los niveles de ansiedad y depresión, y facilitar la recuperación. La muestra estuvo compuesta por 30 mujeres que debían someterse a una histerectomía abdominal. Estas mujeres fueron repartidas al azar en dos grupos: experimental y control. La técnica se compuso de diferentes elementos: 1) información; 2) expresión de emociones; 3) respiración, relajación, visualización; 4) ejercicios para facilitar la recuperación; 5) entrega de hojas informativas. Los resultados fueron: el grupo experimental respecto al grupo control, padeció menos ansiedad y depresión postquirúrgicas, sufrió menos dolor y complicaciones después de la operación, necesitó menos analgésicos, recuperó antes sus funciones orgánicas, y se acortó su estancia hospitalaria. Por tanto podemos concluir que la técnica psicológica diseñada se mostró eficaz como facilitadora de la recuperación en pacientes quirúrgicos.The aim of this study was to design and test the efficiency of a psychological technique to reduce levels of anxiety and depression in surgery patients and to facilitate their recovery. The test group was composed of 30 women who were to have a hysterectomy. These women were divided into two groups: an experimental group and a control group . The technique involved various elements: 1) information, 2) the expression of emotions, 3) breathing, relaxation, visualitation, 4) excercises to facilitate recovery, 5) distribution of summary sheets. The results were as follows: compared to the control group, the experimental group suffered less anxiety, less post-surgical depression, less pain and fewer post-operative complications. The women needed fewer painkillers, regained their normal bodily functions and needed a shorter stay in hospital. We can thus conclude that the psychological technique designed, proved efficient in facilitating the recovery of surgical patients

A transiting super-Earth close to the inner edge of the habitable zone of an M0 dwarf star

We present a super-Earth orbiting close to the inner edge of the habitable zone of the cool dwarf star K2-286 (EPIC 249889081), detected with data from the K2 mission in its $15^{th}$ campaign. The planet has radius of $2.1\pm0.2$ R$_{\oplus}$, near the 1.5 - 2.0 R$_{\oplus}$ gap in the radii distribution. The equilibrium temperature is $347^{+21}_{-11}$ K, cooler than most of the small planets with well measured masses, and the orbital period is $27.359\pm0.005$ days. K2-286, located at a distance of $76.3\pm0.3$ pc, is an M0V star with estimated effective temperature of $3926\pm100$ K, less active than other M dwarf stars hosting exoplanets. The expected radial velocity semi-amplitude induced by the planet on the star is $1.9^{+1.3}_{-1.2}$ m$\cdot$s$^{-1}$, and the amplitude of signals in transit transmission spectroscopy is estimated at $5.0\pm3.0$ ppm. Follow-up observations for mass measurements and transit spectroscopy should be desirable for this relatively bright target ($m_V=12.76, m_{Ks}=9.32$) hosting a transiting super-Earth within the inner edge of the habitable zone.Comment: Accepted for publication in MNRA

A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

Nowadays, data collection is a key process in the study of electrical power networks when searching for harmonics and a lack of balance among phases. In this context, the lack of data of any of the main electrical variables (phase-to-neutral voltage, phase-to-phase voltage, and current in each phase and power factor) adversely affects any time series study performed. When this occurs, a data imputation process must be accomplished in order to substitute the data that is missing for estimated values. This paper presents a novel missing data imputation method based on multivariate adaptive regression splines (MARS) and compares it with the well-known technique called multivariate imputation by chained equations (MICE). The results obtained demonstrate how the proposed method outperforms the MICE algorithm.Ministerio de Economía y Competitividad; AYA2014-57648-PAsturias (Comunidad Autónoma). Consejería de Economía y Empleo; FC-15-GRUPIN14-01

Two planetary systems with transiting Earth-size and super-Earth planets orbiting late-type dwarf stars

We present two new planetary systems found around cool dwarf stars with data from the K2 mission. The first system was found in K2-239 (EPIC 248545986), char- acterized in this work as M3.0V and observed in the 14th campaign of K2. It consists of three Earth-size transiting planets with radii of 1.1, 1.0 and 1.1 R Earth, showing a compact configuration with orbital periods of 5.24, 7.78 and 10.1 days, close to 2:3:4 resonance. The second was found in K2-240 (EPIC 249801827), characterized in this work as M0.5V and observed in the 15th campaign. It consists of two transiting super-Earths with radii 2.0 and 1.8 R Earth and orbital periods of 6.03 and 20.5 days. The equilibrium temperatures of the atmospheres of these planets are estimated to be in the range of 380-600 K and the amplitudes of signals in transmission spectroscopy are estimated at ~10 ppm.Comment: Accepted for publication in MNRAS letter

Reflections about ‘Occupy’. The spatial dynamics of discourse in global protest movements, by Luisa Martin Rojo

La publicación del libro Occupy. The spatial dynamics of discourse in global protest movements, editado por Luisa Martin Rojo abre un nuevo campo para los estudios del discurso en el que se otorga centralidad al espacio en un sentido dinámico. Por este motivo, como parte del foro e-conversa (promovido por la Asociación Internacional de Estudios sobre Discurso y Sociedad EDiSo; http://www.edisoportal.org/) se planteó la lectura del capítulo introductorio (cuya traducción al español se encuentra en este número de Discurso y Sociedad) y debatir sobre algunas de las cuestiones que en él se plantean. El resultado está formado por varias contribuciones que, tomando como punto de partida el texto de Martín Rojo, reflexionan, entre otros temas, sobre las prácticas espaciales, el papel de los medios de comunicación y las redes sociales, el nuevo sujeto político emergente, las formaciones contrahegemónicas, el multilingüismo, prácticas prefigurativas, etc. De este modo, este texto dialógico es una invitación a seguir pensando el análisis del discurso desde una perspectiva novedosa ligada al espacioThe publication of the volumen Occupy. The spatial dynamics of discourse in global protest movements, edited by Luisa Martín Rojo, opens up a new field of discourse studies in which the focus lies on space, in a dynamic sense. For this reason, and as part of the forum e-conversa (hosted by the International Association of Discourse Studies and Society (EDiSo); http://www.edisoportal.org/Ediso), it was suggested to read the introduction (the Spanish translation of which is included in this issue of Discurso y Sociedad) and to debate over some of the topics presented in the book. The result consists of several contributions which, by taking Martin Rojo’s text as the starting point, reflect on spatial practices, the role of mass media and social networks, the new emerging political subject, counter-hegemonic formations, multilingualism, and prefigurative practices, among other issues. Thus, this dialogic text is an invitation to continue thinking about discourse analysis from a new perspective linked to spac

Hybrid algorithm for missing data imputation and its application to electrical data loggers

The storage of data is a key process in the study of electrical power networks related to the search for harmonics and the finding of a lack of balance among phases. The presence of missing data of any of the main electrical variables (phase-to-neutral voltage, phase-to-phase voltage, current in each phase and power factor) affects any time series study in a negative way that has to be addressed. When this occurs, missing data imputation algorithms are required. These algorithms are able to substitute the data that are missing for estimated values. This research presents a new algorithm for the missing data imputation method based on Self-Organized Maps Neural Networks and Mahalanobis distances and compares it not only with a well-known technique called Multivariate Imputation by Chained Equations (MICE) but also with an algorithm previously proposed by the authors called Adaptive Assignation Algorithm (AAA). The results obtained demonstrate how the proposed method outperforms both algorithm

CARMENES input catalogue of M dwarfs IV. New rotation periods from photometric time series

Aims. The main goal of this work is to measure rotation periods of the M-type dwarf stars being observed by the CARMENES exoplanet survey to help distinguish radial-velocity signals produced by magnetic activity from those produced by exoplanets. Rotation periods are also fundamental for a detailed study of the relation between activity and rotation in late-type stars. Methods. We look for significant periodic signals in 622 photometric time series of 337 bright, nearby M dwarfs obtained by long-time baseline, automated surveys (MEarth, ASAS, SuperWASP, NSVS, Catalina, ASAS-SN, K2, and HATNet) and for 20 stars which we obtained with four 0.2-0.8 m telescopes at high geographical latitudes. Results. We present 142 rotation periods (73 new) from 0.12 d to 133 d and ten long-term activity cycles (six new) from 3.0 a to 11.5 a. We compare our determinations with those in the existing literature; we investigate the distribution of P rot in the CARMENES input catalogue,the amplitude of photometric variability, and their relation to vsin i and pEW(Halfa); and we identify three very active stars with new rotation periods between 0.34 d and 23.6 d.Comment: 34 pages, 43 figures, 2 appendix table

Reflexiones sobre ‘Occupy. The spatial dynamics of discourse in global protest movements’ de Luisa Martin Rojo

La publicación del libro Occupy. The spatial dynamics of discourse in global protest movements, editado por Luisa Martin Rojo abre un nuevo campo para los estudios del discurso en el que se otorga centralidad al espacio en un sentido dinámico. Por este motivo, como parte del foro e-conversa (promovido por la Asociación Internacional de Estudios sobre Discurso y Sociedad EDiSo; http://www.edisoportal.org/) se planteó la lectura del capítulo introductorio (cuya traducción al español se encuentra en este número de Discurso y Sociedad) y debatir sobre algunas de las cuestiones que en él se plantean. El resultado está formado por varias contribuciones que, tomando como punto de partida el texto de Martín Rojo, reflexionan, entre otros temas, sobre las prácticas espaciales, el papel de los medios de comunicación y las redes sociales, el nuevo sujeto político emergente, las formaciones contrahegemónicas, el multilingüismo, prácticas prefigurativas, etc. De este modo, este texto dialógico es una invitación a seguir pensando el análisis del discurso desde una perspectiva novedosa ligada al espacio / The publication of the volumen Occupy. The spatial dynamics of discourse in global protest movements, edited by Luisa Martín Rojo, opens up a new field of discourse studies in which the focus lies on space, in a dynamic sense. For this reason, and as part of the forum e-conversa (hosted by the International Association of Discourse Studies and Society (EDiSo); http://www.edisoportal.org/Ediso), it was suggested to read the introduction (the Spanish translation of which is included in this issue of Discurso y Sociedad) and to debate over some of the topics presented in the book. The result consists of several contributions which, by taking Martin Rojo’s text as the starting point, reflect on spatial practices, the role of mass media and social networks, the new emerging political subject, counter-hegemonic formations, multilingualism, and prefigurative practices, among other issues. Thus, this dialogic text is an invitation to continue thinking about discourse analysis from a new perspective linked to space

A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers

The storage of data is a key process in the study of electrical power networks related to the search for harmonics and the finding of a lack of balance among phases. The presence of missing data of any of the main electrical variables (phase-to-neutral voltage, phase-to-phase voltage, current in each phase and power factor) affects any time series study in a negative way that has to be addressed. When this occurs, missing data imputation algorithms are required. These algorithms are able to substitute the data that are missing for estimated values. This research presents a new algorithm for the missing data imputation method based on Self-Organized Maps Neural Networks and Mahalanobis distances and compares it not only with a well-known technique called Multivariate Imputation by Chained Equations (MICE) but also with an algorithm previously proposed by the authors called Adaptive Assignation Algorithm (AAA). The results obtained demonstrate how the proposed method outperforms both algorithms.Ministerio de Economía y Competitividad, AYA2014-57648-PAsturias (Comunidad Autónoma). Consejería de Economía y Empleo, FC-15-GRUPIN14-01