Automated analysis of product related data generated from PLM ontology

In recent years, ontology for the Product Lifecycle Management domain has raised a lot of interest in research communities, both academic and industrial. It has emerged as a convenient method for supporting the concept of closed lifecycle information loop, which is one of the most important issues of PLM. By modeling relevant aspects collected from all lifecycle stages of a product, within one ontology, a common knowledge structure is created accessible to all actors. Assuming that appropriate mechanisms for updating ontology (or rather, instances that populate it) are provided, ontology becomes a base layer for a knowledge management platform. Useful experience and information from all productsâ life-cycle stages, can influence designerâs decisions and business strategies. The industrial research community has recognized this added value of ontological implementation, and there is an increasing number of developed ontologies for this purpose. Application of ontology contributes to time efficiency by reducing the time required to retrieve information. Furthermore, it allows for the enhancement of design decisions which are supported through additional information at the appropriate moment. Finally, ontology gives an overall perspective on a product's lifecycle, allowing from-the-top optimization. Different domains modeled in ontology, and software platforms that use them as a base layer, become interoperable and convenient to merge. The purpose of ontology as it is today is not to store data, for the most part because there are more efficient data base systems to handle large data amounts. Still, the domain modeled within ontology is composed of structured and un-structured data sets, and ontology itself can give us a top view on relations and dependences between these data sets. In this perspective, it holds a strong similarity to a relational data base, if relations in the data base where defined so that they depicted the real world in the most precise possible manner. In large companies today, handling a growing amount of data generated every day is becoming an increasingly relevant problem. Managing and storing them, although challenging, is still feasible, but holding data without understanding it carries little added value. In an effort to exploit useful information contained in unstructured data sources, a number of decision support systems and enterprise resource planning systems have been developed. They can be very diverse in functionality and efficiency but the one thing that they all have in common is that the user has to be the one making the initiative and defining the queries. This means that the user has to know which information he is looking for, or hoping to extract. As a consequence, the number of relevant correlations and dependencies between different factors of real life captured in the data are left unnoticed, simply because they were not assumed. In the PLM domain, this is particularly present since it involves a number of actors and most of them are interacting only with a small subset of domain concepts. Data mining as a discipline, gives a number of tools for resolving this issue. All of the algorithms are designed to detect correlations, underlying patterns or functions that generated the data. The problem of data mining techniques is that they are still performed mostly manually. Although deterministic steps of data mining procedures can be supported by existing software tools, the others remain an obsta

Elementos de la Teoría Antropológica de lo Didáctico en la propuesta y análisis de actividades de una evaluación de Matemática

En este artículo, centramos el interés en la asignatura Matemática General que cursan los estudiantes de las Tecnicaturas Universitarias en Industrias Lácteas e Inspección de Alimentos de la Universidad Nacional de Luján (UNLu). Nos planteamos indagar sobre el nivel de desarrollo que los estudiantes de esta materia tienen en torno a cuestiones vinculadas con la comunicación de los saberes en Matemática y, a su vez, con los errores que circundan a este aspecto del saber. Atendiendo a este propósito, nos hemos planteado diseñar e implementar una evaluación diagnóstica que involucre dos temas prioritarios de la asignatura, funciones lineales y cuadráticas, que se vinculan con todos los otros contenidos de la disciplina. En este trabajo, nos proponemos compartir algunos de los criterios seguidos en el diseño y organización del instrumento de evaluación, así como el análisis de los resultados de algunas actividades incluidas en él

Elementos de la Teoría Antropológica de lo Didáctico en la propuesta y análisis de actividades de una evaluación de Matemática

En este artículo, centramos el interés en la asignatura Matemática General que cursan los estudiantes de las Tecnicaturas Universitarias en Industrias Lácteas e Inspección de Alimentos de la Universidad Nacional de Luján (UNLu). Nos planteamos indagar sobre el nivel de desarrollo que los estudiantes de esta materia tienen en torno a cuestiones vinculadas con la comunicación de los saberes en Matemática y, a su vez, con los errores que circundan a este aspecto del saber. Atendiendo a este propósito, nos hemos planteado diseñar e implementar una evaluación diagnóstica que involucre dos temas prioritarios de la asignatura, funciones lineales y cuadráticas, que se vinculan con todos los otros contenidos de la disciplina. En este trabajo, nos proponemos compartir algunos de los criterios seguidos en el diseño y organización del instrumento de evaluación, así como el análisis de los resultados de algunas actividades incluidas en él. Palabras clave: actividad matemática; evaluación diagnóstica; comunicación de saberes; errores en matemática; educación matemática In this article we focus our interest in a General Mathematics course forLacteal Industries and Food Inspection Technician Career at National University of Luján (Argentina). We set out to investigate how developed it is the communication of Mathematics’ knowledge among the students and the errors surrounding this aspect. So we have designed and implemented a diagnostic evaluation which includes linear and quadratic functions, two main issues of the subject that are linked to all the other contents of the discipline. In this paper we share the criteria we used to design and organize the evaluation instrument. Keywords: biology; ICT; didactics; Universit

Hiponatremia severa por meningitis tuberculosa: complicación frecuente pero olvidada

We present the case of a 55-year-old male patient who was admitted due to an altered state of consciousness due to severe hyponatremia secondary to tuberculous meningitis. There was no improvement in hyponatremia after treatment with hypertonic saline solution, therefore the diagnosis of syndrome of inappropriate secretion of antidiuretic hormone (SIADH) was proposed, and improvement was evidenced with fluid restriction. The interest of this case is to report a common but forgotten complication of tuberculous meningitis.Se presenta el caso de un paciente varón de 55 años que ingresó por alteración del estado de conciencia por una hiponatremia severa secundaria a una meningitis tuberculosa. No hubo mejoría de la hiponatremia al tratamiento con solución salina hipertónica, por lo cual se planteó el diagnóstico de síndrome de secreción inapropiada de hormona antidiurética (SIADH) y se evidenció mejoría con la restricción hídrica. El interés del presente caso es reportar una complicación frecuente pero olvidada de la meningitis tuberculosa

Proposal of a closed loop framework for the improvement of industrial systems' life cycle performances: Experiences from the linked design project

VK: Främling, K.The context where European manufacturers of industrial systems operate has dramatically changed over recent years: the pressure of emerging countries they have to face, policy makers’ environmental laws and industrial companies’ interests are pushing towards sustainable manufacturing and a holistic view of industrial systems. Designers and system engineers are the main actors involved, because they have high influence on product life cycle costs and environmental impacts. However they need tools to pursue a holistic view. The aim of this paper is to propose a closed loop framework to improve life cycle performances of industrial systems, focusing on the automotive sector.Peer reviewe

How much biodiversity is concealed in the word ‘biodiversity’?

Non peer reviewe

The Changing Landscape for Stroke\ua0Prevention in AF: Findings From the GLORIA-AF Registry Phase 2

Background GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation) is a prospective, global registry program describing antithrombotic treatment patterns in patients with newly diagnosed nonvalvular atrial fibrillation at risk of stroke. Phase 2 began when dabigatran, the first non\u2013vitamin K antagonist oral anticoagulant (NOAC), became available. Objectives This study sought to describe phase 2 baseline data and compare these with the pre-NOAC era collected during phase 1. Methods During phase 2, 15,641 consenting patients were enrolled (November 2011 to December 2014); 15,092 were eligible. This pre-specified cross-sectional analysis describes eligible patients\u2019 baseline characteristics. Atrial fibrillation disease characteristics, medical outcomes, and concomitant diseases and medications were collected. Data were analyzed using descriptive statistics. Results Of the total patients, 45.5% were female; median age was 71 (interquartile range: 64, 78) years. Patients were from Europe (47.1%), North America (22.5%), Asia (20.3%), Latin America (6.0%), and the Middle East/Africa (4.0%). Most had high stroke risk (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age  6575 years, Diabetes mellitus, previous Stroke, Vascular disease, Age 65 to 74 years, Sex category] score  652; 86.1%); 13.9% had moderate risk (CHA2DS2-VASc = 1). Overall, 79.9% received oral anticoagulants, of whom 47.6% received NOAC and 32.3% vitamin K antagonists (VKA); 12.1% received antiplatelet agents; 7.8% received no antithrombotic treatment. For comparison, the proportion of phase 1 patients (of N = 1,063 all eligible) prescribed VKA was 32.8%, acetylsalicylic acid 41.7%, and no therapy 20.2%. In Europe in phase 2, treatment with NOAC was more common than VKA (52.3% and 37.8%, respectively); 6.0% of patients received antiplatelet treatment; and 3.8% received no antithrombotic treatment. In North America, 52.1%, 26.2%, and 14.0% of patients received NOAC, VKA, and antiplatelet drugs, respectively; 7.5% received no antithrombotic treatment. NOAC use was less common in Asia (27.7%), where 27.5% of patients received VKA, 25.0% antiplatelet drugs, and 19.8% no antithrombotic treatment. Conclusions The baseline data from GLORIA-AF phase 2 demonstrate that in newly diagnosed nonvalvular atrial fibrillation patients, NOAC have been highly adopted into practice, becoming more frequently prescribed than VKA in Europe and North America. Worldwide, however, a large proportion of patients remain undertreated, particularly in Asia and North America. (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation [GLORIA-AF]; NCT01468701

T cell phenotypes in COVID-19 - a living review

COVID-19 is characterized by profound lymphopenia in the peripheral blood, and the remaining T cells display altered phenotypes, characterized by a spectrum of activation and exhaustion. However, antigen-specific T cell responses are emerging as a crucial mechanism for both clearance of the virus and as the most likely route to long-lasting immune memory that would protect against re-infection. Therefore, T cell responses are also of considerable interest in vaccine development. Furthermore, persistent alterations in T cell subset composition and function post-infection have important implications for patients’ long-term immune function. In this review, we examine T cell phenotypes, including those of innate T cells, in both peripheral blood and lungs, and consider how key markers of activation and exhaustion correlate with, and may be able to predict, disease severity. We focus on SARS-CoV-2-specific T cells to elucidate markers that may indicate formation of antigen-specific T cell memory. We also examine peripheral T cell phenotypes in recovery and the likelihood of long-lasting immune disruption. Finally, we discuss T cell phenotypes in the lung as important drivers of both virus clearance and tissue damage. As our knowledge of the adaptive immune response to COVID-19 rapidly evolves, it has become clear that while some areas of the T cell response have been investigated in some detail, others, such as the T cell response in children remain largely unexplored. Therefore, this review will also highlight areas where T cell phenotypes require urgent characterisation

The role and uses of antibodies in COVID-19 infections: a living review

Coronavirus disease 2019 has generated a rapidly evolving field of research, with the global scientific community striving for solutions to the current pandemic. Characterizing humoral responses towards SARS-CoV-2, as well as closely related strains, will help determine whether antibodies are central to infection control, and aid the design of therapeutics and vaccine candidates. This review outlines the major aspects of SARS-CoV-2-specific antibody research to date, with a focus on the various prophylactic and therapeutic uses of antibodies to alleviate disease in addition to the potential of cross-reactive therapies and the implications of long-term immunity