Responsible Innovation in Business

This chapter introduces responsible innovation in a business context. The first part explains the basic terms that constitute responsible innovation from a busi-ness perspective. The second part presents tangible business practices that opera-tionalise responsible innovation and introduces two good practice examples that hint at the variety of ways in which responsible innovation can be implemented in companies

Intestinal Dysbiosis and Rheumatoid Arthritis: A Link between Gut Microbiota and the Pathogenesis of Rheumatoid Arthritis

Characterization and understanding of gut microbiota has recently increased representing a wide research eld, especially in autoimmune diseases. Gut microbiota is the major source of microbes which might exert benecial as well as pathogenic effects on human health. Intestinal microbiome’s role as mediator of inammation has only recently emerged. Microbiota has been observed to differ in subjects with early rheumatoid arthritis compared to controls, and this nding has commanded this study as a possible autoimmune process. Studies with intestinal microbiota have shown that rheumatoid arthritis is characterized by an expansion and/or decrease of bacterial groups as compared to controls. In this review, we present evidence linking intestinal dysbiosis with the autoimmune mechanisms involved in the development of rheumatoid arthritis

Metabolic Responses of Two Assisted CPR Devices Versus Manual CPR during 1-Person CPR

Prolonged, one-person CPR is exhausting and associated with decayed CPR quality over time. Active compression-decompression-CPR (ACD-CPR) requires the rescuer to actively work during both phases of CPR. We evaluated the metabolic cost of manual CPR (M-CPR), ACD-CPR1, and ACD-CPR2 (with adhesive pad) during a 10-min resuscitation period. We hypothesized that the metabolic cost for the devices would be similar to M-CPR. Twenty (10 female) participants (23.5±3.5y, 165.8±25.6cm, 72.5±12.2kg) completed 3 randomized trials with performance feedback by investigators. Expired air was analyzed for estimations of metabolic cost via indirect calorimetry. Participants rested for 10 minutes before the baseline data collection followed by 10 min of CPR to simulate one-person CPR. Treatment effects were observed for VO2, METS, VCO2, HR, RR, blood lactate, and RPE. No such effect was observed for RQ, SBP, or DBP. VO2 (ml/kgBW/min) was significantly higher with ACD-CPR1 (17.8±1.4) vs. MCPR and ACD-CPR2 (15.9±0.9 and 14.2±1.1, respectively). Metabolic equivalent (MET) was significantly lower with ACD-CPR2 (4.1±0.3) vs. MCPR and ACD-CPR1 (4.7±0.3 and 5.1±0.4, respectively). All three groups’ blood lactate data differed significantly with ACD-CPR1 \u3e M-CPR \u3e ACD-CPR2. The RR required by the ACD-CPR1 during a 10 min CPR simulation is significantly higher than the ACD-CPR2 and M-CPR. No group differences were observed for RQ, SBP, or DBP. CPR performance metrics were averaged over the 10-min resuscitation period. RPE was significantly higher following ACD-CPR1 compared to both M-CPR and ACD-CPR2. The metabolic work required by the ACD-CPR2 during 10-min simulated one-person resuscitation (80/min) is far less than the ACD-CPR1. However, the ACD-CPR2 metabolic cost is similar to that of M-CPR, despite the latter method’s higher rate of compressions (110/min) and passive decompressions

PLANEACIÓN DIDÁCTICA GENERAL DE LA ASIGNATURA DE INGLÉS 3

GUÍA DIDÁCTICA / PLANEACIÓN DIDÁCTICA (NMS

Star exponentials from propagators and path integrals

In this paper we address the relation between the star exponentials emerging within the Deformation Quantization formalism and Feynman's path integrals associated with propagators in quantum dynamics. In order to obtain such a relation, we start by visualizing the quantum propagator as an integral transform of the star exponential by means of the symbol corresponding to the time evolution operator and, thus, we introduce Feynman's path integral representation of the propagator as a sum over all the classical histories. The star exponential thus constructed has the advantage that it does not depend on the convergence of formal series, as commonly understood within the context of Deformation Quantization. We include some basic examples to illustrate our findings, recovering standard results reported in the literature. Further, for an arbitrary finite dimensional system, we use the star exponential introduced here in order to find a particular representation of the star product which resembles the one encountered in the context of the quantum field theory for a Poisson sigma model.Comment: 18 pages, no figure

PLANEACIÓN DIDÁCTICA GENERAL INGLÉS 1

GUÍA DIDÁCTICA / PLANEACIÓN DIDÁCTICA (NMS

Economic growth and the dynamic efficiency theory

Esta investigación analiza el crecimiento económico desde la teoría de la eficiencia dinámica, utilizando un indicador global de competitividad y uno de libertad económica global, partiendo de la hipótesis de que mayor libertad económica se traduce en mayor competitividad y crecimiento económico. La eficiencia dinámica sustentada en autores de la economía austriaca pretende explicar cómo el incremento en la rentabilidad y productividad en la producción de bienes y servicios, depende principalmente de la creatividad empresarial. Desde el punto de vista metodológico, el estudio es descriptivo, correlacional y prospectivo, se empleó datos de panel de las 20 economías más grandes del continente americano; también analiza los principales indicadores macroeconómicos, la calidad de las instituciones, salud, educación primaria, infraestructura y el grado de innovación empresarial, correlacionado con variables que miden el nivel de libertad para hacer negocios, presión fiscal, tamaño del gobierno, seguridad jurídica; se mide la competitividad por medio de los factores que determinan la productividad de una economía. Entre los principales resultados se encontró que el índice de libertad económica y el PIB per cápita, muestran una relación causal bidireccional en el sentido de Granger, develando con ello una relación de endogeneidad entre ambas variables. Se demostró el grado de cointegración, causalidad y explicación de la competitividad y la libertad económica con el crecimiento económico.This research analyzes economic growth from the theory of dynamic efficiency, using a global indicator of competitiveness and one of global economic freedom, starting from the hypothesis that greater economic freedom translates into greater competitiveness and economic growth. The dynamic efficiency supported by authors of the Austrian economy aims to explain how the increase in profitability and productivity in the production of goods and services depends mainly on business creativity. From the methodological point of view, the study is descriptive, correlational and prospective, using panel data from the 20 largest economies in the American continent. The study analyzes the main macroeconomic indicators, the quality of institutions, health, primary education, infrastructure and the degree of business innovation, correlated with variables that measure the level of freedom to do business, fiscal pressure, size of government, security Legal, competitiveness is measured through the factors that determine the productivity of an economy. Among the main results, it was found that the index of economic freedom and the GDP per capita show a bidirectional causal relationship in the Granger sense, thus revealing an endogenity relationship between both variables. The degree of cointegration, causality and explanation of competitiveness and economic freedom with economic growth was demonstrated

Cellular Automata Applications in Shortest Path Problem

Cellular Automata (CAs) are computational models that can capture the essential features of systems in which global behavior emerges from the collective effect of simple components, which interact locally. During the last decades, CAs have been extensively used for mimicking several natural processes and systems to find fine solutions in many complex hard to solve computer science and engineering problems. Among them, the shortest path problem is one of the most pronounced and highly studied problems that scientists have been trying to tackle by using a plethora of methodologies and even unconventional approaches. The proposed solutions are mainly justified by their ability to provide a correct solution in a better time complexity than the renowned Dijkstra's algorithm. Although there is a wide variety regarding the algorithmic complexity of the algorithms suggested, spanning from simplistic graph traversal algorithms to complex nature inspired and bio-mimicking algorithms, in this chapter we focus on the successful application of CAs to shortest path problem as found in various diverse disciplines like computer science, swarm robotics, computer networks, decision science and biomimicking of biological organisms' behaviour. In particular, an introduction on the first CA-based algorithm tackling the shortest path problem is provided in detail. After the short presentation of shortest path algorithms arriving from the relaxization of the CAs principles, the application of the CA-based shortest path definition on the coordinated motion of swarm robotics is also introduced. Moreover, the CA based application of shortest path finding in computer networks is presented in brief. Finally, a CA that models exactly the behavior of a biological organism, namely the Physarum's behavior, finding the minimum-length path between two points in a labyrinth is given.Comment: To appear in the book: Adamatzky, A (Ed.) Shortest path solvers. From software to wetware. Springer, 201

Challenges for the multilingual Web of Data

Garcia J, Montiel-Ponsoda E, Cimiano P, Gómez-Pérez A, Buitelaar P, McCrae J. Challenges for the multilingual Web of Data. Journal of Web Semantics: Science, Services and Agents on the World Wide Web. 2012;11:63-71