Evaluation of environmental sustainability in additive manufacturing processes for orthopaedic devices production

Sustainability impact assessment of additive manufacturing represents one of the work packages (WP5) of the European Union Horizon 2020 project “Driving up Reliability and Efficiency of Additive Manufacturing” (DREAM). Additive manufacturing is a versatile technology consisting in melting metallic powders to produce objects from 3D data, layer upon layer. Additive manufacturing applications in industry range from automotive, biomedical (e.g. prosthetic implants for dentistry and orthopedics), aeronautics and others. One of the main target of WP5 is to assess the environmental sustainability of DREAM products and processes, conducted with laser-based powder bed fusion additive manufacturing systems through Life Cycle Assessment (LCA) methodology. Environmental impacts on different impact and damage categories due to manufacturing, use and end of life of the designed solution have been assessed adopting IMPACT 2002+ method

Hantavirus reservoir hosts associated with peridomestic habitats in Argentina

Five species of sigmodontine rodents have been identified in Argentina as the putative reservoirs of six circulating hantavirus genotypes. Two species of Oligoryzomys are associated with the genotypes causing hantavirus pulmonary syndrome, Oligoryzomys flavescens for Lechiguanas and O. longicaudatusfor Andes and Oran genotypes. Reports of human cases of hantavirus pulmonary syndrome prompted rodent trapping (2,299 rodents of 32 species during 27,780 trap nights) at potential exposure sites in three disease-endemic areas. Antibody reactive to Sin Nombre virus was found in six species, including the known hantavirus reservoir species. Risk for peridomestic exposure to host species that carry recognized human pathogens was high in all three major disease-endemic areas.Fil: Calderón, Gladys. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas Dr. Julio Maiztegui; Argentina.Fil: Pini, Noemí. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas Dr. Julio Maiztegui; Argentina.Fil: Bolpe, Jorge. Departamento de Zoonosis Rurales de Azul; Argentina.Fil: Levis, Silvana. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas Dr. Julio Maiztegui; Argentina.Fil: Mills, James. Centers for Disease Control and Prevention; Estados Unidos.Fil: Segura, Elsa. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas Dr. Julio Maiztegui; Argentina.Fil: Guthmann, Nadia. Universidad Nacional del Comahue; Argentina.Fil: Cantoni, Gustavo. Consejo Provincial de Salud Pública, Rio Negro; ArgentinaFil: Becker, José. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas Dr. Julio Maiztegui; Argentina.Fil: Fonollat, Ana. Fundación Lillo; Argentina.Fil: Ripoll, Carlos. Departamento de Chagas y Patologías Regionales; Argentina.Fil: Bortman, Marcelo. Subsecretaría de Salud, Neuquén; Argentina.Fil: Benedetti, Rosendo. Zona Sanitaria Noroeste; Argentina.Fil: Sabattini, Marta S. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas Dr. Julio Maiztegui; Argentina.Fil: Enria, Delia. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Virales Humanas Dr. Julio Maiztegui; Argentina.Fil: Hantavirus Study Group; Argentina

Programa intensivo ERASMUS: TOPCART. Documentación Geométrica del Patrimonio (memoria de actividades 2010-2011)

[EN] Data contained in this record come from the following accademic activity (from which it is possible to locate additional records related with the Monastery):● LDGP_inv_002: "Intensive Program ERASMUS: TOPCART. Geometric Documentation of the Heritage (administrative and academic documentation)", http://hdl.handle.net/10810/9906[ES] Los datos de este registro provienen de la una actividad académica que también aparece descrita en el repositorio y desde donde se puede acceder a otros trabajos relacionados con el Monasterio:● LDGP_inv_002: "Programa intensivo ERASMUS: TOPCART. Documentación Geométrica del Patrimonio (documentación administrativa y académica)", http://hdl.handle.net/10810/9906[EN] The main objective this project is looking for is the exchange of practical methodologies, in topics related with the measure and representation of heritage, between teachers and specially students from different countries. For the achievement of this aim we expect the participation of a group of about 30 students and 8 lecturers from Germany, Italy, Greece, Lithuania and Spain.Activities will be focused on the development of concrete projects in documentation of heritage, specifically in the San Prudencio Monastery (La Rioja, Spain). In this site, digital techniques for the acquisition of geometric information from GPS equipment, surveying total stations, laser scanner and photogrammetry systems, will be put into practice.Obtained data will be processed as follows: first of all, they will be documented by adding necessary metadata in order to ensure their use in the future, then, they will be treated to obtain cartographic representations and virtual models which can be distributed on the Internet.As results we expect: metric data of the monument, graphic models for difussion and collaboration partnertships.[ES] El objetivo principal que se persigue en este proyecto es el intercambio de metodológico práctico, en materias afines a la medida y la representación del patrimonio, entre profesores y fundamentalmente alumnos, de diferentes países. Para la consecución de este fin se espera la participación de un grupo de aproximadamente 25 alumnos y 8 profesores de (Alemania, Italia, Grecia, Lituania y España).Las actividades se centrarán en el desarrollo de proyectos concretos de documentación de elementos patrimoniales, en concreto el apartado práctico se desarrollará en el Monasterio de San Prudencio (La Rioja, España). En el se aplicarán técnicas digitales de registro de información geométrica, constituidas por receptores GPS, estaciones totales topográficas, escáneres láser y sistemas fotogramétricos.Los datos obtenidos serán tratados de la siguiente manera: en primer lugar serán documentados, mediante la adición de la metainformación necesaria para garantizar su utilidad a lo largo del tiempo, seguidamente serán procesados con el fin de obtener las representaciones cartográficas y modelos virtuales de representación que puedan ser difundidas por medio de Internet.Como resultados se pretenden: un conjunto de registros métricos del momento de la intervención, modelos gráficos de difusión y finalmente relaciones de colaboración interpersonal e interinstitucional.European Commission, DG Education and Culture (Erasmus 2009-1-ES1-ERAIP-0013, 2010-1-ES1-ERA10-0024); Organismo Autónomo Programas Educativos Europeos (OAPEE); Gobierno de La Rioja (Spain); Universidad de La Rioja; Clavijo City Council; Logroño City Council; Ilustre Colegio de Ingenieros Técnicos en Topografía (Delegación de La Rioja)[ES] Memoria de proyecto (PDF) [es el último fichero de la lista, el enlace directo es https://addi.ehu.es/bitstream/10810/7053/1053/ldgp_mem011-1_Clavijo_SanPrudencio.pdf] + 11 imágenes de la visita preliminar en abril de 2009, en formato JPEG + 19 nubes de puntos en formato txt (comprimido en ZIP junto a un fichero de metadatos y una imagen que sirve de croquis y que también se presenta suelta) + 27 fotografías tomadas desde un helicóptero radicontrolado en 2011 por el grupo H (JPEG) + 18 fotografías métricas del edificio en forma de -L- tomadas desde el Sur + 13 fotografías métricas del edificio en forma de -L- tomadas desde el Este + 95 fotografías métricas del interior del edificio en forma de -L- (JPEG) + 35 fotografías métricas tomadas desde el cerro que se encuentra al sur (JPEG) + 8 fotografías métricas que forman 4 pares estereoscópicos (2 del grupo B y 2 del grupo D) (JPEG) + 183 fotografías métricas que forman 91 tripletas (grupos B, C y D) (JPEG). [NOTA: este registro no está cerrado, se irán incorporando nuevos materiales de forma progresiva][EN] General report (PDF) [it is the last file of the list, the direct link is https://addi.ehu.es/bitstream/10810/7053/1053/ldgp_mem011-1_Clavijo_SanPrudencio.pdf] + 11 pictures taken during the preliminary visit in April 2009 (JPEG format) + 19 point clouds in plain text (compressed in a ZIP file together with a file with metadata and an image PNG as sketch, these image are also presented on their own) + 27 photographs taken from a remote-controlled helicopter for the group H in 2011(JPEG) + 18 metric pictures of the L-shaped building taken from the South (JPEG) + 13 metric pictures of the L-shaped building taken from the East (JPEG) + 95 metric pictures of the inside part of the L-shaped building (JPEG) + 35 metric photographs taken from the hill opposite in the Southern + 8 metric photographs in four stereopairs (2 from group B and 2 from group D) (JPEG) + 183 metric photographs arranged in 91 triplets from groups B, C and D (JPEG). [NOTE: this record is not closed, more data will be uploaded progressively

Mujeres, violencia doméstica y protección de derechos. Un estudio sobre la accesibilidad a los servicios de atención en la Provincia de Misiones. 16H335

El proyecto se fundamenta en experiencias de investigación, extensión y profesionales. Toma como tema la violencia de género (s), particularmente la que acontece en el ámbito denominado doméstico (“puertas adentro de la familia”1). Se circunscribe a este tema en tanto, las mujeres constituyen un grupo históricamente vulnerable y la violencia de género en el espacio doméstico es de las más recurrentes en las estadísticas oficiales. Esta problemática social y su abordaje desde el espacio público, el ámbito jurídico y las políticas públicas, no es nueva pero su comprensión debe ser ubicada en las coordenadas de época y espacio. Coordenadas que muestran importantes avances en la protección de los derechos de las mujeres y las familias como también múltiples acciones para su atención (desde instituciones públicas y organizaciones sociales que convergen en su abordaje). Sin embargo, la puesta en acto de las mismas y su efectividad muestran resultados contradictorios que desfavorecen las posibilidades de acceso y equidad. Desde la producción de conocimientos se trata de aportar a la comprensión del proceso2 en el cual se inscriben las respuestas al problema y las medidas de protección que las normas vigentes procuran, ubicando las brechas existentes entre los derechos formalizados y su efectivización en la vida cotidiana; específicamente en la Provincia de Misiones

Recovery of dialysis patients with COVID-19 : health outcomes 3 months after diagnosis in ERACODA

Background. Coronavirus disease 2019 (COVID-19)-related short-term mortality is high in dialysis patients, but longer-term outcomes are largely unknown. We therefore assessed patient recovery in a large cohort of dialysis patients 3 months after their COVID-19 diagnosis. Methods. We analyzed data on dialysis patients diagnosed with COVID-19 from 1 February 2020 to 31 March 2021 from the European Renal Association COVID-19 Database (ERACODA). The outcomes studied were patient survival, residence and functional and mental health status (estimated by their treating physician) 3 months after COVID-19 diagnosis. Complete follow-up data were available for 854 surviving patients. Patient characteristics associated with recovery were analyzed using logistic regression. Results. In 2449 hemodialysis patients (mean ± SD age 67.5 ± 14.4 years, 62% male), survival probabilities at 3 months after COVID-19 diagnosis were 90% for nonhospitalized patients (n = 1087), 73% for patients admitted to the hospital but not to an intensive care unit (ICU) (n = 1165) and 40% for those admitted to an ICU (n = 197). Patient survival hardly decreased between 28 days and 3 months after COVID-19 diagnosis. At 3 months, 87% functioned at their pre-existent functional and 94% at their pre-existent mental level. Only few of the surviving patients were still admitted to the hospital (0.8-6.3%) or a nursing home (∼5%). A higher age and frailty score at presentation and ICU admission were associated with worse functional outcome. Conclusions. Mortality between 28 days and 3 months after COVID-19 diagnosis was low and the majority of patients who survived COVID-19 recovered to their pre-existent functional and mental health level at 3 months after diagnosis

Solving patients with rare diseases through programmatic reanalysis of genome-phenome data.

Funder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health); doi: https://doi.org/10.13039/100011272; Grant(s): 305444, 305444Funder: Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness); doi: https://doi.org/10.13039/501100003329Funder: Generalitat de Catalunya (Government of Catalonia); doi: https://doi.org/10.13039/501100002809Funder: EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj); doi: https://doi.org/10.13039/501100008530Funder: Instituto Nacional de Bioinformática ELIXIR Implementation Studies Centro de Excelencia Severo OchoaFunder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health)Reanalysis of inconclusive exome/genome sequencing data increases the diagnosis yield of patients with rare diseases. However, the cost and efforts required for reanalysis prevent its routine implementation in research and clinical environments. The Solve-RD project aims to reveal the molecular causes underlying undiagnosed rare diseases. One of the goals is to implement innovative approaches to reanalyse the exomes and genomes from thousands of well-studied undiagnosed cases. The raw genomic data is submitted to Solve-RD through the RD-Connect Genome-Phenome Analysis Platform (GPAP) together with standardised phenotypic and pedigree data. We have developed a programmatic workflow to reanalyse genome-phenome data. It uses the RD-Connect GPAP's Application Programming Interface (API) and relies on the big-data technologies upon which the system is built. We have applied the workflow to prioritise rare known pathogenic variants from 4411 undiagnosed cases. The queries returned an average of 1.45 variants per case, which first were evaluated in bulk by a panel of disease experts and afterwards specifically by the submitter of each case. A total of 120 index cases (21.2% of prioritised cases, 2.7% of all exome/genome-negative samples) have already been solved, with others being under investigation. The implementation of solutions as the one described here provide the technical framework to enable periodic case-level data re-evaluation in clinical settings, as recommended by the American College of Medical Genetics

A Machine Learning Approach to Monitor the Emergence of Late Intrauterine Growth Restriction

Late intrauterine growth restriction (IUGR) is a fetal pathological condition characterized by chronic hypoxia secondary to placental insufficiency, resulting in an abnormal rate of fetal growth. This pathology has been associated with increased fetal and neonatal morbidity and mortality. In standard clinical practice, late IUGR diagnosis can only be suspected in the third trimester and ultimately confirmed at birth. This study presents a radial basis function support vector machine (RBF-SVM) classification based on quantitative features extracted from fetal heart rate (FHR) signals acquired using routine cardiotocography (CTG) in a population of 160 healthy and 102 late IUGR fetuses. First, the individual performance of each time, frequency, and nonlinear feature was tested. To improve the unsatisfactory results of univariate analysis we firstly adopted a Recursive Feature Elimination approach to select the best subset of FHR-based parameters contributing to the discrimination of healthy vs. late IUGR fetuses. A fine tuning of the RBF-SVM model parameters resulted in a satisfactory classification performance in the training set (accuracy 0.93, sensitivity 0.93, specificity 0.84). Comparable results were obtained when applying the model on a totally independent testing set. This investigation supports the use of a multivariate approach for the in utero identification of late IUGR condition based on quantitative FHR features encompassing different domains. The proposed model allows describing the relationships among features beyond the traditional linear approaches, thus improving the classification performance. This framework has the potential to be proposed as a screening tool for the identification of late IUGR fetuses