Observation of B-c(+) -> J/psi D-(*()) K-(*()) decays

A search for the decays $B_c^+ \to J/\psi D^{(*)0} K^+$ and $B_c^+ \to J/\psi D^{(*)+} K^{*0}$ is performed with data collected at the LHCb experiment corresponding to an integrated luminosity of 3 fb$^{-1}$. The decays $B_c^+ \to J/\psi D^0 K^+$ and $B_c^+ \to J/\psi D^{*0} K^+$ are observed for the first time, while first evidence is reported for the $B_c^+ \to J/\psi D^{*+} K^{*0}$ and $B_c^+ \to J/\psi D^+ K^{*0}$ decays. The branching fractions of these decays are determined relative to the $B_c^+ \to J/\psi \pi^+$ decay. The $B_c^+$ mass is measured, using the $J/\psi D^0 K^+$ final state, to be $6274.28 \pm 1.40 (stat) \pm 0.32 (syst)$ MeV/$c^2$. This is the most precise single measurement of the $B_c^+$ mass to date.Comment: All figures and tables, along with any supplementary material and additional information, are available at https://lhcbproject.web.cern.ch/lhcbproject/Publications/LHCbProjectPublic/LHCb-PAPER-2016-055.htm

O mundo da criança portadora de asma grave na escola El mundo del niño portador de asma grave en la escuela Daily life of children with acute asthma in school settings

OBJETIVO: Compreender o significado que a criança asmática grave e sua família atribuem à doença e suas implicações na escola. MÉTODOS: Estudo de caso qualitativo, desenvolvido no ambulatório de pediatria de um hospital do Município de São Paulo. Foram estudadas três crianças e seus familiares, utilizando observação participante, entrevista e brinquedo terapêutico dramático. RESULTADOS: As demandas do tratamento e as freqüentes crises de asma influenciaram no cotidiano da criança na escola como: falta às aulas; deixar de aprender; restrinção nas brincadeiras e relacionamento conflituoso com colegas. CONSIDERAÇÕES FINAIS: Tendo em vista as dificuldades encontradas pelas crianças em freqüentar a escola e conviver com os colegas, recomenda-se um trabalho conjunto entre os profissionais de saúde e da educação, assegurando a manutenção da educação formal e do convívio social salutar.<br>OBJETIVO: Comprender el significado que el niño asmático grave y su familia atribuyen a la enfermedad y sus implicancias en la escuela. MÉTODOS: Se trata de un estudio de caso cualitativo, desarrollado en el consultorio externo de pediatría de un hospital del Municipio de Sao Paulo. Fueron estudiados tres niños y sus familiares, utilizando la observación participante, entrevista y juego terapéutico dramático. RESULTADOS: Las demandas del tratamiento y las frecuentes crisis de asma influenciaron en el cotidiano del niño en la escuela como: falta a las clases; dejar de aprender; restricción en los juegos y relación conflictiva con sus colegas. CONSIDERACIONES FINALES: Teniendo en vista las dificultades encontradas por los niños para frecuentar a la escuela y convivir con sus colegas, se recomineda un trabajo conjunto entre los profesionales de salud y de educación, asegurando la manutención de la educación formal y de la convivencia social saludable.<br>OBJECTIVES: To understand the meaning of asthma and its implications in daily life of children with acute asthma and their family in school settings. METHODS: A qualitative case study with 3 children from a pediatric outpatient clinic of a hospital in the municipal district of São Paulo. Data were collected through participant observation, interviews, and therapeutic play. RESULTS: Treatment demands and frequency of asthma crisis affected the daily life of the children in school settings: missing classes, decreased opportunity to learn, restrictions on type of plays, and conflicting interactions with the other children. FINAL CONSIDERATIONS: There is need for health care providers and teachers to work together in order to guarantee those children formal education and quality social interactions

Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning

Developing artificial learning systems that can understand and generate natural language has been one of the long-standing goals of artificial intelligence. Recent decades have witnessed an impressive progress on both of these problems, giving rise to a new family of approaches. Especially, the advances in deep learning over the past couple of years have led to neural approaches to natural language generation (NLG). These methods combine generative language learning techniques with neural-networks based frameworks. With a wide range of applications in natural language processing, neural NLG (NNLG) is a new and fast growing field of research. In this state-of-the-art report, we investigate the recent developments and applications of NNLG in its full extent from a multidimensional view, covering critical perspectives such as multimodality, multilinguality, controllability and learning strategies. We summarize the fundamental building blocks of NNLG approaches from these aspects and provide detailed reviews of commonly used preprocessing steps and basic neural architectures. This report also focuses on the seminal applications of these NNLG models such as machine translation, description generation, automatic speech recognition, abstractive summarization, text simplification, question answering and generation, and dialogue generation. Finally, we conclude with a thorough discussion of the described frameworks by pointing out some open research directions

Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning

Developing artificial learning systems that can understand and generate natural language has been one of the long-standing goals of artificial intelligence. Recent decades have witnessed an impressive progress on both of these problems, giving rise to a new family of approaches. Especially, the advances in deep learning over the past couple of years have led to neural approaches to natural language generation (NLG). These methods combine generative language learning techniques with neural-networks based frameworks. With a wide range of applications in natural language processing, neural NLG (NNLG) is a new and fast growing field of research. In this state-of-the-art report, we investigate the recent developments and applications of NNLG in its full extent from a multidimensional view, covering critical perspectives such as multimodality, multilinguality, controllability and learning strategies. We summarize the fundamental building blocks of NNLG approaches from these aspects and provide detailed reviews of commonly used preprocessing steps and basic neural architectures. This report also focuses on the seminal applications of these NNLG models such as machine translation, description generation, automatic speech recognition, abstractive summarization, text simplification, question answering and generation, and dialogue generation. Finally, we conclude with a thorough discussion of the described frameworks by pointing out some open research directions