Evaluación perceptual de la insuficiencia velofaríngea en personas con fisura del paladar: una revisión integradora de literatura

La insuficiencia velofaríngea (IVF) secundaria de fisura del paladar corresponde al cierre incompleto del mecanismo velofaríngeo durante el habla, debido a una falta de tejido en el paladar blando o las paredes de la faringe, lo cual genera una resonancia hipernasal y una emisión nasal de aire en los sonidos orales. Al respecto, en la literatura existen diversas propuestas para la evaluación perceptual de la IVF. Por esto, el objetivo del presente estudio es describir la evaluación perceptiva auditiva de la insuficiencia velofaríngea, mediante una revisión integradora de literatura. Para ello, en mayo de 2020 las bases de datos electrónicas PUBMED, LILACS, SciELO y Cochrane, fueron consultadas utilizando las palabras claves en inglés: “Velopharyngeal Sphincter”, “Velopharyngeal Insufficiency”, “Cleft Palate”, “Speech Intelligibility”, “Speech Production Measurement”, “Speech Articulation Tests” y “Speech-Language Pathology” y sus respectivos equivalentes en portugués y español. Se seleccionaron artículos originales relacionados al tema, y se creó un protocolo específico para la extracción de los datos. En total se encontraron 2.385 artículos. De ellos, 2.354 fueron excluidos por el título, 13 por el resumen y 3 luego de la lectura del texto completo. Finalmente, a partir de la metodología desarrollada, en esta revisión fueron utilizados 33 artículos. A partir de la revisión realizada se concluye que los parámetros más utilizados en la evaluación son la hipernasalidad, la emisión nasal y la articulación compensatoria asociada a IVF. Estos parámetros son evaluados principalmente en oraciones, habla espontánea y palabras, por un fonoaudiólogo experto, en vivo y mediante grabaciones de audio.

Production, Measurement and Applications of Vacuum Systems

The most common type of vacuum pumps and measuring gauges based on available literature are studied with emphasis on how new research and development will enable the new generation of vacuum technology specially in designing, its operational procedure and applications. The technologies were developed to meet the operational goal which include vacuum chamber structures, compatible materials, specialized vacuum pump and gauges. There are many areas where different vacuum condition is required for conducting experiments therefore modeling of pumping system is on demand. The basic understanding of how and when the particular pumping and measurement system can be applied most effectively and economically is essential. The poor choice of pumping and measurement system will interfere the scientific objectives and may leads to substantial maintenance demands and an unpleasant working environment. The development and fundamental investigation of innovative vacuum techniques for creation and measurement of vacuum used for various applications necessary for the research work to be done in future are presented.

Survey on usage of Machine Learning in Genomic Medicine

This paper provides a preface of machine learning as a task that can be used to solve some important problems pertaining to genomic medicines. The genomic medicine can determine the risk of different disease in an individual due to the variation in the DNA. Genomic medicine can help to find out the therapies. We, here, concentrate on the ways in which machine learning can aid in determining the link between the DNA as well as number of key molecules present inside a cell with the assumption that the numbers may be related to the disease risks, which can also be referred to as cell variable. The field of the Modern biology allows high rate of production measurement of cell variable which covers up gene expression, splicing, and the procedure of protein binding with nucleic [8] acids, and these all treated as training targets for the predictive models. In today’s date, large amount of data sets are available on which we can apply different computational techniques that can help researchers to work hard on solution of genomic medicines.