Autonomic and brain morphological predictors of stress resilience

Stressful life events are an important cause of psychopathology. Humans exposed to aversive or stressful experiences show considerable inter-individual heterogeneity in their responses. However, the majority does not develop stress-related psychiatric disorders. The dynamic processes encompassing positive and functional adaptation in the face of significant adversity have been broadly defined as resilience. Traditionally, the assessment of resilience has been confined to self-report measures, both within the general community and putative high-risk populations. Although this approach has value, it is highly susceptible to subjective bias and may not capture the dynamic nature of resilience, as underlying construct. Recognizing the obvious benefits of more objective measures of resilience, research in the field has just started investigating the predictive value of several potential biological markers. This review provides an overview of theoretical views and empirical evidence suggesting that individual differences in heart rate variability (HRV), a surrogate index of resting cardiac vagal outflow, may underlie different levels of resilience toward the development of stress-related psychiatric disorders. Following this line of thought, recent studies describing associations between regional brain morphometric characteristics and resting state vagally-mediated HRV are summarized. Existing studies suggest that the structural morphology of the anterior cingulated cortex (ACC), particularly its cortical thickness, is implicated in the expression of individual differences in HRV. These findings are discussed in light of emerging structural neuroimaging research, linking morphological characteristics of the ACC to psychological traits ascribed to a high-resilient profile and abnormal structural integrity of the ACC to the psychophysiological expression of stress-related mental health consequences. We conclude that a multidisciplinary approach integrating brain structural imaging with HRV monitoring could offer novel perspectives about brain-body pathways in resilience and adaptation to psychological stres

La preparación física desde una perspectiva cualitativa : La educación del movimiento

El objetivo de este trabajo es contribuir a partir de la puesta en práctica de un proyecto de preparación física en rugby juvenil al desarrollo de un nuevo enfoque del Profesor de Educación Física en las distintas prácticas deportivas, basado en una visión cualitativa de la preparación física, es decir, orientado a la educación del movimiento. Esto nos va a permitir una mejor relación del alumno con su cuerpo, mejorar su estilo de vida y reducir el riesgo de lesiones. Existen diversas aproximaciones desde distintos modelos teóricos que sustentan la preparación física para la mejora del rendimiento deportivo. Sin embargo, estos enfoques tienen la particularidad de abordar el rendimiento desde la cuantificación y la evolución constante de la performance, dejando de lado la calidad de movimientos de esos individuos. Desde nuestra idea, limitaciones en los patrones básicos de movimiento, llevan a distintas alteraciones y compensaciones que disminuyen el rendimiento, el aprendizaje motor y aumentan el riego de lesió

Great Success that Was on the Brink of Failure: The Case of a Techno-Legal Assemblage in the "Civil Trial On-Line" System in Italy

In the last twenty years, Italy has made massive investments in ICT projects in an attempt to improve the ‘quality of justice’. ‘More technology’ was considered the mantra policy to save justice from a never-ending state of crisis. These huge investments resulted in a highly sophisticated e-justice system, with full dematerialization of the civil justice procedures. However, this success did not take place automatically and without costs, as initially expected

Price Mechanism and Endogenous Productivity in an Open Economy Stock-Flow Consistent Model

This paper combines a Stock‐Flow Consistent open economy two‐country model with the Verdoorn‐Kaldor law, which posits a positive relationship between the rate of growth of output and productivity growth. The model shows the role of endogenous productivity as a shock magnifier and underlines the limits of the mechanisms of adjustment that rely exclusively on the “buffer” provided by flexible exchange rates. It also provides arguments in support of fiscal policy both in the context of flexible exchange rates and fixed exchange rates. Finally, it challenges the sustainability of austerity measures aimed to achieve external balance

Close range mini Uavs photogrammetry for architecture survey

The survey of historical façades contains several bottlenecks, mainly related to the geometrical structure, the decorative framework, the presence of natural or artificial obstacles, the environment limitations. Urban context presents additional restrictions, binding by ground acquisition activity and leading to building data loss. The integration of TLS and close-range photogrammetry allows to go over such stuff, not overcoming the shadows effect due to the ground point of view. In the last year the massive use of UAVs in survey activity has permitted to enlarge survey capabilities, reaching a deeper knowledge in the architecture analysis. In the meanwhile, several behaviour rules have been introduced in different countries, regulating the UAVs use in different field, strongly restricting their application in urban areas. Recently very small and light platforms have been presented, which can partially overcome these rules restrictions, opening to very interesting future scenarios. This article presents the application of one of these very small RPAS (less than 300 g), equipped with a low-cost camera, in a close range photogrammetric survey of an historical building façade in Bologna (Italy). The suggested analysis tries to point out the system accuracy and details acquisition capacity. The final aim of the paper is to validate the application of this new platform in an architectonic survey pipeline, widening the future application of close-range photogrammetry in the architecture acquisition process

Modelling indoor air carbon dioxide concentration using grey-box models

Predictive control is the strategy that has the greatest reported benefits when it is implemented in a building energy management system. Predictive control requires low-order models to assess different scenarios and determine which strategy should be implemented to achieve a good compromise between comfort, energy consumption and energy cost. Usually, a deterministic approach is used to create low-order models to estimate the indoor CO2 concentration using the differential equation of the tracer-gas mass balance. However, the use of stochastic differential equations based on the tracer-gas mass balance is not common. The objective of this paper is to assess the potential of creating predictive models for a specific room using for the first time a stochastic grey-box modelling approach to estimate future CO2 concentrations. First of all, a set of stochastic differential equations are defined. Then, the model parameters are estimated using a maximum likelihood method. Different models are defined, and tested using a set of statistical methods. The approach used combines physical knowledge and information embedded in the monitored data to identify a suitable parametrization for a simple model that is more accurate than commonly used deterministic approaches. As a consequence, predictive control can be easily implemented in energy management systems.Peer ReviewedPostprint (author's final draft