Fascioliasis prevalence in livestock from abattoirs in southern Chile

Fascioliasis is a widely distributed parasitic zoonosis caused by the trematode Fasciola hepatica that affects livestock production and generates high economic losses. In Chilean authorised abattoirs, the infected livestock livers are condemned during the veterinary inspection. This study aims to evaluate the prevalence of fascioliasis in Chile from 2014 to 2016 and also monthly from 2002 to 2015 in livestock (cattle, pig, sheep, horse and goat) slaughtered in abattoirs of La Araucanía region, southern Chile. To do this, the available records on abattoirs provided by the sanitary authority were analysed. A descriptive statistics and trend analysis of the data by jointpoint regression was carried out. The Biobío and La Araucanía regions registered the highest levels of parasitosis in the country recording levels of 59.18 and 44.74%, respectively, and presented 50.03% of the liver condemnation rate in cattle. During the study period, a total of 2,239,164 animals were slaughtered and 40.59% infected livers with F. hepatica were condemned in the 9 existing abattoirs of La Araucanía region. The abattoirs located in the cities of Temuco (51.43%) and Angol (65.09%) recorded the highest percentages of fascioliasis. The cattle species recorded the highest number of slaughtered animals and liver condemnation (54.52%). The presence of the parasite was recorded annually and monthly and it was possible to observe a slight increase in fascioliasis over the years. This study provides updated information on the fascioliasis prevalence in the country and the dynamics of condemnation in endemic areas such as La Araucanía region, which could contribute to the control and prevention of this zoonosis

Immediate effects of a high-velocity spine manipulation in paraspinal muscles activity of nonspecific chronic low-back pain subjects. Man Ther

a b s t r a c t High-velocity spinal manipulation is commonly adopted for treating chronic low-back pain (CLBP) and has been associated with changes in muscle activity, but the evidence is controversial. The aim of this study was to analyse the immediate effects of high-velocity spine manipulation on paraspinal activity during flexioneextension trunk movements. Forty nonspecific CLBP patients were randomised into two groups, manipulation (n ¼ 20) and control (n ¼ 20). While the manipulation group received high-velocity spine manipulation at the L4-L5 level, the control group remained lying in the same position. EMGrelated variables, perceived pain intensity (100 mm VAS) and finger-floor distance were collected before and after spinal manipulation at the L4-L5 level. EMG surface signals from the right and left paraspinal muscles (L5-S1 level) were acquired during trunk flexioneextension cycles. EMG activity during the static relaxation phase was significantly reduced following intervention for the manipulation group but not for the control group. The extension-phase EMG activity was also reduced after manipulation, but the flexion-phase EMG levels remained unchanged. Accordingly, the percent changes in FRR and ERR were significantly larger for the manipulation group compared to the control. The results suggest that a highvelocity spinal manipulation is able to acutely reduce abnormal EMG activity during the full-flexion static phase and activation during the extension phase

Minería de textos y de la web

Este artículo describe, brevemente, las tareas de investigación y desarrollo que se están llevando a cabo en la línea de investigación “Minería de Textos y de la Web” en el marco del proyecto “Aprendizaje automático y toma de decisiones en sistemas inteligentes para la Web”. La linea aborda diversas áreas vinculadas a la ingeniería del lenguaje natural, como por ejemplo el Procesamiento del Lenguaje Natural (PLN), la Lingüística Computacional, la Minería de Textos, la Minería de la Web y la recuperación de información de la Web. En el contexto de este proyecto por lo tanto, esta línea se centra en todos los problemas vinculados con el desarrollo de herramientas inteligentes para la extracción, análisis y validación de contenido Web, que incluyen: representación de documentos y usuarios de la Web, medidas de calidad de información para el contenido Web, técnicas abiertas de extracción de información para la Web, algoritmos de categorización supervisados, semi-supervisados y no supervisados y caracterización de usuarios, entre otros.Eje: Bases de Datos y Minería de DatosRed de Universidades con Carreras en Informática (RedUNCI

Minería de textos y de la web

Este artículo describe, brevemente, las tareas de investigación y desarrollo que se están llevando a cabo en la línea de investigación “Minería de Textos y de la Web” en el marco del proyecto “Aprendizaje automático y toma de decisiones en sistemas inteligentes para la Web”. La linea aborda diversas áreas vinculadas a la ingeniería del lenguaje natural, como por ejemplo el Procesamiento del Lenguaje Natural (PLN), la Lingüística Computacional, la Minería de Textos, la Minería de la Web y la recuperación de información de la Web. En el contexto de este proyecto por lo tanto, esta línea se centra en todos los problemas vinculados con el desarrollo de herramientas inteligentes para la extracción, análisis y validación de contenido Web, que incluyen: representación de documentos y usuarios de la Web, medidas de calidad de información para el contenido Web, técnicas abiertas de extracción de información para la Web, algoritmos de categorización supervisados, semi-supervisados y no supervisados y caracterización de usuarios, entre otros.Eje: Bases de Datos y Minería de DatosRed de Universidades con Carreras en Informática (RedUNCI

Minería de textos y de la web

Este artículo describe, brevemente, las tareas de investigación y desarrollo que se están llevando a cabo en la línea de investigación “Minería de Textos y de la Web” en el marco del proyecto “Aprendizaje automático y toma de decisiones en sistemas inteligentes para la Web”. La linea aborda diversas áreas vinculadas a la ingeniería del lenguaje natural, como por ejemplo el Procesamiento del Lenguaje Natural (PLN), la Lingüística Computacional, la Minería de Textos, la Minería de la Web y la recuperación de información de la Web. En el contexto de este proyecto por lo tanto, esta línea se centra en todos los problemas vinculados con el desarrollo de herramientas inteligentes para la extracción, análisis y validación de contenido Web, que incluyen: representación de documentos y usuarios de la Web, medidas de calidad de información para el contenido Web, técnicas abiertas de extracción de información para la Web, algoritmos de categorización supervisados, semi-supervisados y no supervisados y caracterización de usuarios, entre otros.Eje: Bases de Datos y Minería de DatosRed de Universidades con Carreras en Informática (RedUNCI

Semi-Automatic Identification and Pre-Screening of Geological–Geotechnical Deformational Processes Using Persistent Scatterer Interferometry Datasets

This work describes a new procedure aimed to semi-automatically identify clusters of active persistent scatterers and preliminarily associate them with different potential types of deformational processes over wide areas. This procedure consists of three main modules: (i) ADAfinder, aimed at the detection of Active Deformation Areas (ADA) using Persistent Scatterer Interferometry (PSI) data; (ii) LOS2HV, focused on the decomposition of Line Of Sight (LOS) displacements from ascending and descending PSI datasets into vertical and east-west components; iii) ADAclassifier, that semi-automatically categorizes each ADA into potential deformational processes using the outputs derived from (i) and (ii), as well as ancillary external information. The proposed procedure enables infrastructures management authorities to identify, classify, monitor and categorize the most critical deformations measured by PSI techniques in order to provide the capacity for implementing prevention and mitigation actions over wide areas against geological threats. Zeri, Campiglia Marittima–Suvereto and Abbadia San Salvatore (Tuscany, central Italy) are used as case studies for illustrating the developed methodology. Three PSI datasets derived from the Sentinel-1 constellation have been used, jointly with the geological map of Italy (scale 1:50,000), the updated Italian landslide and land subsidence maps (scale 1:25,000), a 25 m grid Digital Elevation Model, and a cadastral vector map (scale 1:5000). The application to these cases of the proposed workflow demonstrates its capability to quickly process wide areas in very short times and a high compatibility with Geographical Information System (GIS) environments for data visualization and representation. The derived products are of key interest for infrastructures and land management as well as decision-making at a regional scale.This research was funded by the Shift2Rail Joint Undertaking under the European Union’s Horizon 2020 research and innovation program, with grant agreement No 777630, project MOMIT, “Multiscale Observation and Monitoring of railway Infrastructure Threats” and the Spanish Ministry of Economy, Industry and Competitiveness (MINECO), the State Agency of Research (AEI), and the European Funds for Regional Development (FEDER) under project TEC2017-85244-C2-1-P

Imaging of the Muscle-Bone Relationship

Muscle can be assessed by imaging techniques according to its size (as thickness, area, volume, or alternatively, as a mass) and architecture (fiber length and pennation angle), with values used as an anthropometric measure or a surrogate for force production. Similarly, the size of the bone (as area or volume) can be imaged using MRI or pQCT, although typically bone mineral mass is reported. Bone imaging measures of mineral density, size, and geometry can also be combined to calculate bone’s structural strength—measures being highly predictive of bone’s failure load ex vivo. Imaging of muscle-bone relationships can, hence, be accomplished through a number of approaches by adoption and comparison of these different muscle and bone parameters, dependent on the research question under investigation. These approaches have revealed evidence of direct, mechanical muscle-bone interactions independent of allometric associations. They have led to important information on bone mechanoadaptation and the influence of muscular action on bone, in addition to influences of age, gender, exercise, and disuse on muscle-bone relationships. Such analyses have also produced promising diagnostic tools for clinical use, such as identification of primary, disuse-induced, and secondary osteoporosis and estimation of bone safety factors. Standardization of muscle-bone imaging methods is required to permit more reliable comparisons between studies and differing imaging modes, and in particular to aid adoption of these methods into widespread clinical practice

Recent results on heavy-ion induced reactions of interest for neutrinoless double beta decay at INFN-LNS

Abstract. The possibility to use a special class of heavy-ion induced direct reactions, such as double charge exchange reactions, is discussed in view of their application to extract information that may be helpful to determinate the nuclear matrix elements entering in the expression of neutrinoless double beta decay halflife. The methodology of the experimental campaign presently running at INFN - Laboratori Nazionali del Sud is reported and the experimental challenges characterizing such activity are describe

Diagnosis and treatment of non-alcoholic fatty liver disease: Argentine Association for the Study of Liver Diseases, year 2019

El hígado graso no alcohólico (HGNA) es la enfermedad hepática crónica más frecuente en todo el mundo, con una prevalencia aproximada de 25% a nivel global. Su prevalencia es mucho mayor en pacientes con sobrepeso, obesidad y diabetes tipo 2 y es considerada como la manifestación hepática del síndrome metabólico. El espectro de la enfermedad hepática es muy amplio, desde la esteatosis simple a la esteatohepatitis, fibrosis, cirrosis y sus complicaciones, como el hepatocarcinoma. La mayoría de los pacientes afectados no progresará a la fibrosis avanzada/cirrosis. A pesar de esto, se ha descripto que la hepatopatía es la tercera causa de muerte entre los pacientes con HGNA, luego de las enfermedades cardiovasculares y las malignas. Entre la enorme cantidad de afectados, lo más importante es identificar a los que están en riesgo de evolución a la cirrosis o sus complicaciones y conocer las opciones de diagnóstico y tratamiento. En esta Guía organizada por la Asociación Argentina para el Estudio de las Enfermedades del Hígado se revisan las definiciones, los aspectos epidemiológicos, la historia natural y un enfoque práctico sobre algoritmos posibles para estimar la gravedad de la hepatopatía en cada caso, además de analizar los avances en el tratamiento y recomendaciones para el seguimiento. Es importante señalar que no se han publicado datos sobre incidencia o prevalencia de la enfermedad en población general de Argentina, y se alienta a la realización de los mismos.. Nonalcoholic fatty liver disease (NAFLD) is the most frequent chronic liver disease worldwide, with an estimated global prevalence of approximately 25%, that is much higher in patients with overweight, obesity and type 2 diabetes. NAFLD is considered as the hepatic manifestation of metabolic syndrome. It has a wide spectrum, from simple steatosis to steatohepatitis, fibrosis, cirrhosis and its complications, such as hepatocellular carcinoma. Most of the affected patients will not evolve to advanced fibrosis or cirrhosis. Despite this, it has been described that the hepatic disease is the third cause of death among patients with nonalcoholic fatty liver, after cardiovascular and malignant diseases. Among the huge number of patients affected, the main challenge is to identify those who are at risk of developing cirrhosis or its complications and to recognize the diagnostic and treatment options. In this Guideline, endorsed by the Argentine Association for the Study of Liver Diseases, the definitions, epidemiological aspects, natural history and a practical approach to possible algorithms to estimate the severity of liver disease in the individual patient are reviewed; in addition to analyzing advances in treatment and proposing recommendations for follow-up. It is important to note that no data on the incidence or prevalence of the disease have been published in the general population of Argentina, and it is encouraged to carry them out.Fil: Fassio, Eduardo. Hospital Nacional Profesor Alejandro Posadas; ArgentinaFil: Dirchwolf, Melisa. Hospital Privado de Rosario; ArgentinaFil: Barreyro, Fernando Javier. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Departamento de Microbiología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Adrover, Raúl. No especifíca;Fil: Alonso, M. Inés. No especifíca;Fil: Amante, Marcelo. No especifíca;Fil: Ameigeiras, Beatriz. No especifíca;Fil: Barreyro, Fernando J.. No especifíca;Fil: Benavides, Javier. No especifíca;Fil: Bessone, Fernando. No especifíca;Fil: Cairo, Fernando. No especifíca;Fil: Camino, Alejandra. No especifíca;Fil: Cañero Velasco, M. Cristina. No especifíca;Fil: Casciato, Paola. No especifíca;Fil: Cocozzella, Daniel. No especifíca;Fil: Daruich, Jorge. No especifíca;Fil: De Matteo, Elena. No especifíca;Fil: Dirchwolf, Melisa. No especifíca;Fil: Fassio, Eduardo. No especifíca;Fil: Fernández, José Luis. No especifíca;Fil: Fernández, Nora. No especifíca;Fil: Ferretti, Sebastián. No especifíca;Fil: Figueroa, Sebastián. No especifíca;Fil: Galoppo, Marcela. No especifíca;Fil: Godoy, Alicia. No especifíca;Fil: González Ballerga, Esteban. No especifíca;Fil: Graffigna, Mabel. No especifíca;Fil: Guma, Carlos. No especifíca;Fil: Lagues, Cecilia. No especifíca;Fil: Marino, Mónica. No especifíca;Fil: Mendizábal, Manuel. No especifíca;Fil: Mesquida, Marcelo. No especifíca;Fil: Odzak, Andrea. No especifíca;Fil: Peralta, Mirta. No especifíca;Fil: Ridruejo, Ezequiel. No especifíca;Fil: Ruffillo, Gabriela. No especifíca;Fil: Sordá, Juan A.. No especifíca;Fil: Tanno, Mario. No especifíca;Fil: Villamil, Alejandra. No especifíca;Fil: Colombato, Luis. No especifíca;Fil: Fainboim, Hugo. No especifíca;Fil: Gadano, Adrián. No especifíca;Fil: Galoppo, Cristina. No especifíca;Fil: Villamil, Federico. No especifíca