Dopamine interaction with a polyamine cryptand of 1H-pyrazole in the absence and in the presence of Cu(II) ions. Crystal structure of [Cu2(H21L](ClO4)3·2H2O

The crystal structure of the binuclear Cu2+ complex [Cu2(H21L)](ClO4)3·2H2O of the cryptand L = 1,4,7,8,11,14,17,20,21,24,29,32,33,36-tetradecaazapentacyclo[12.12.12.1^(6,9).1^(19,22),1,^31,34]hentetraconta-6,9(41),19(40), 21,31,34(39)-hexaene is presented; evidence for the formation in solution of binary L–dopamine and ternary Cu2+–L– dopamine complexes is presented.Escarti Alemany, Francisco, [email protected] ; Garcia-España Monsonis, Enrique, [email protected] ; Latorre Saborit, Julio, [email protected]

Application of Artificial Intelligence with Natural Language Processing for qualitative research texts in the medical -patient relationship with mental illness through the use of mobile technologies

La Inteligencia Artificial (IA) sigue posicionándose en la sociedad como referencia del progreso tecnológico. Dentro de este campo, el Procesamiento de Lenguaje Natural (PLN) alcanza gran aceptación en disciplinas que trabajen con altos volúmenes de datos (Big Data). En este marco queremos ver qué aportan estos algoritmos, pero aplicado a la comunicación en el campo de la salud mental. Establecemos esta metodología con PLN partiendo de observaciones cualitativas previas en textos transcritos de grupos focales realizados a pacientes con enfermedad mental con el objetivo de entender si la aplicación de esta metodología aporta mejora al análisis de los datos como se ha demostrado en investigaciones previas, pero aplicado novedosamente al campo de la salud mental. Para ello se han ejecutado scripts basados en código Python y se han depurado los textos, clasificando las cadenas de palabras en entidades denominadas tokens y eliminando las palabras vacías. Posteriormente, se ha analizado la frecuencia de palabras y la conexión de frases, obteniendo un conjunto de estructuras donde aplicar técnicas de Machine Learning mediante Word2vec y generando vectores sobre los datos quedando representados con gráficas n-dimensionales en donde se configura un nuevo vocabulario con palabras agrupadas por cercanía. Aplicamos un método que sin el aprendizaje algorítmico se nos escapa en el análisis previo de una investigación cualitativa. Se identifican en el análisis los principales temas encontrados con el análisis cualitativo tradicional, mecanizando el proceso y facilitándolo. Se demuestra además que esta metodología es aplicable en la salud mental como en otros grupos de población.Artificial Intelligence (AI) continues to position itself in society as a benchmark for technological progress. Within this field, Natural Language Processing (NLP) reaches great acceptance in disciplines that work with high volumes of data (Big Data). In this framework we want to see what do these algorithms contribute with, but applied to communication in the field of mental health. We establish this methodology with NLP based on previous qualitative observations in transcribed texts of focus groups. These texts were obtained from focus groups carried out on patients with mental illnesses in order to understand whether the application of this methodology contributes to any improvement on the analysis of data, which has been shown in previous researches. However, this research has been applied in a novel way in the field of mental health. To do this, scripts based on Python code have been executed and the texts have been purified, classifyi ng the word strings into entities called tokens and eliminating stopwords. Subsequently, the frequency of words and the connection of sentences have been analyzed, obtaining a set of structures in which to apply Machine Learning techniques using word2vec and generating vectors on the data, which are represented with n -dimensional graphics where a new vocabulary based on proximity words is created. We are applying a method that without algorithmic learning we would be unable to obtain this type of information in the previous analysis of qualitative research.The main themes found with traditional qualitative analysis are identified in the analysis, mechanizing the process and facilitating it. It is also shown that this methodology is applicable in mental healt h as in other population groups

Dopamine interaction with a polyamine cryptand of 1H-pyrazole in the absence and in the presence of Cu(II) ions. Crystal 'structure of [Cu2(H- 1L](ClO4)3·2H2O

The crystal structure of the binuclear Cu2+ complex [Cu2(H−1L)](ClO4)3 ·2H2O of the cryptand L = 1,4,7,8,11,14,17,20,21,24,29,32,33,36-tetradecaazapentacyclo[12.12.12.1 6,9.119,22,1,31,34]hentetraconta-6,9(41), 19(40), 21,31,34(39)-hexaene is presented; evidence for the formation in solution of binary L–dopamine and ternary Cu2+–L–dopamine complexes is presented.We thank SAF 96-0242-CO2 y SAF99-0063 and PB96-0796-CO2 for financial support

Aplicación de la Inteligencia Artificial con Procesamiento del Lenguaje Natural para textos de investigación cualitativa en la relación médico-paciente con enfermedad mental mediante el uso de tecnologías móviles

Artificial Intelligence (AI) continues to position itself in society as a benchmark for technological progress. Within this field, Natural Language Processing (NLP) reaches great acceptance in disciplines that work with high volumes of data (Big Data). In this framework we want to see what do these algorithms contribute with, but applied to communication in the field of mental health. We establish this methodology with NLP based on previous qualitative observations in transcribed texts of focus groups. These texts were obtained from focus groups carried out on patients with mental illnesses in order to understand whether the application of this methodology contributes to any improvement on the analysis of data, which has been shown in previous researches. However, this research has been applied in a novel way in the field of mental health. To do this, scripts based on Python code have been executed and the texts have been purified, classifying the word strings into entities called tokens and eliminating stopwords. Subsequently, the frequency of words and the connection of sentences have been analyzed, obtaining a set of structures in which to apply Machine Learning techniques using word2vec and generating vectors on the data, which are represented with n-dimensional graphics where a new vocabulary based on proximity words is created. We are applying a method that without algorithmic learning we would be unable to obtain this type of information in the previous analysis of qualitative research.The main themes found with traditional qualitative analysis are identified in the analysis, mechanizing the process and facilitating it. It is also shown that this methodology is applicable in mental health as in other population groupsLa Inteligencia Artificial (IA) sigue posicionándose en la sociedad como referencia del progreso tecnológico. Dentro de este campo, el Procesamiento de Lenguaje Natural (PLN) alcanza gran aceptación en disciplinas que trabajen con altos volúmenes de datos (Big Data). En este marco queremos ver qué aportan estos algoritmos, pero aplicado a la comunicación en el campo de la salud mental. Establecemos esta metodología con PLN partiendo de observaciones cualitativas previas en textos Aplicación de la Inteligencia Artificial con Procesamiento del Lenguaje Natural para textos de investigación cualitativa en la relación médico-paciente con enfermedad mental mediante el uso de tecnologías móviles20 Revista de Comunicación y Salud, 2019, Vol. 10, nº 1, pp. 19-41 transcritos de grupos focales realizados a pacientes con enfermedad mental con el objetivo de entender si la aplicación de esta metodología aporta mejora al análisis de los datos como se ha demostrado en investigaciones previas, pero aplicado novedosamente al campo de la salud mental. Para ello se han ejecutado scripts basados en código Python y se han depurado los textos, clasificando las cadenas de palabras en entidades denominadas tokens y eliminando las palabras vacías. Posteriormente, se ha analizado la frecuencia de palabras y la conexión de frases, obteniendo un conjunto de estructuras donde aplicar técnicas de Machine Learning mediante Word2vec y generando vectores sobre los datos quedando representados con gráficas n-dimensionales en donde se configura un nuevo vocabulario con palabras agrupadas por cercanía. Aplicamos un método que sin el aprendizaje algorítmico se nos escapa en el análisis previo de una investigación cualitativa. Se identifican en el análisis los principales temas encontrados con el análisis cualitativo tradicional, mecanizando el proceso y facilitándolo. Se demuestra además que esta metodología es aplicable en la salud mental como en otros grupos de població

Mid-Atlantic Ridge-Azores hotspot interactions: Along-axis migration of a hotspot-derived event of enhanced magmatism 10 to 4 Ma ago

A recent survey of the Mid-Atlantic Ridge over the southern edge of the Azores Platform shows that two anomalously shallow regions located off-axis on both sides of the ridge are the two flanks of a single rifted volcanic plateau. Crustal thickness over this plateau is up to twice that of surrounding oceanic areas, and original axial depths were near sealevel. The lack of a coherent magnetic anomaly pattern, and the near absence of fault scarps over the plateau suggest that its formation involved outpouring of lava over large distances off-axis. This volcanic plateau formed in Miocene times during an episode of greatly enhanced ridge magmatism caused, as proposed by P.R. Vogt [Geology 7 (1979) 93-98], by the southward propagation of a melting anomaly originated within the Azores hotspot, This melting anomaly could reflect excess temperatures of similar to 70 degrees C in the mantle beneath the ridge. It propagated at rates of similar to 60 mm/yr and lasted no more than a few million years at any given location along the ridge. Enhanced magmatism due to this melting anomaly played a significant role, some 10 Ma ago, in the construction of the Azores Platform

Intragastric balloon in obesity treatment

English Abstract; Journal Article; Review;Obesity is considered a chronic and epidemic illness, hece difficult to treat. As conservative treatment has a high rate of failure, and considering morbimortality and sequels of surgery, less invasive techniques appeared to contribute to the treatment of this illness. The most implanted technique nowadays is the Intragastric Balloon, considered more efficient as conservative treatments and with less risks tan surgery, but having today a lack of consensus on indications and few information on his limitations, while its apparition in medias promote an important expansion in the 4 last years. In this publication, we do a critical revision, and describe limitations of this treatment, based on the evidences given by literature. We conclude this revision with some recommendations concerning the technique and indications, material and human requiring, need of a Multidisciplinary Team, as well as an adequate control and following.YesLa obesidad es considerada una enfermedad crónica, epidémica, y de difícil tratamiento. Ante el alto índice de fracasos de los métodos conservadores, y por otra parte, la inevitable morbimortalidad y secuelas ligadas a la cirugía, surgen nuevas técnicas poco invasivas destinadas a contribuir al tratamiento de esta enfermedad. La más implantada actualmente es el Balón intragástrico, considerado más eficaz que el tratamiento conservador, con menos riesgo que la cirugía pero que adolece a día de hoy de una falta de consenso sobre sus indicaciones y escasa información sobre sus limitaciones, al tiempo que su aparición mediática ha propiciado su gran difusión en los 4 últimos años. En este trabajo se realiza una revisión crítica y se señalan las limitaciones de este tratamiento con base a la evidencia aportada por los estudios publicados hasta la fecha. Como conclusión de dicha revisión, se emiten una serie de recomendaciones respecto a la técnica y sus indicaciones, requisitos materiales y humanos, necesidad de Equipo Multidisciplinar así como del control y seguimiento adecuados