Crossing balanced and stair nested desings

Balanced nesting is the most usual form of nesting and originates, when used singly or with crossing of such sub-models, orthogonal models. In balanced nesting we are forced to divide repeatedly the plots and we have few degrees of freedom for the first levels. If we apply stair nesting we will have plots all of the same size rendering the designs easier to apply. The stair nested designs are a valid alternative for the balanced nested designs because we can work with fewer observations, the amount of information for the different factors is more evenly distributed and we obtain good results. The inference for models with balanced nesting is already well studied. For models with stair nesting it is easy to carry out inference because it is very similar to that for balanced nesting. Furthermore stair nested designs being unbalanced have an orthogonal structure. Other alternative to the balanced nesting is the staggered nesting that is the most popular unbalanced nested design which also has the advantage of requiring fewer observations. However staggered nested designs are not orthogonal, unlike the stair nested designs. In this work we start with the algebraic structure of the balanced, the stair and the staggered nested designs and we finish with the structure of the cross between balanced and stair nested designs

A intenção de participação nos festivais de verão na perspectiva do Theory Planned Behaviour

O objetivo deste estudo é analisar a intenção de participar em festivais de verão mediante a situação atual da pandemia Covid-19. Aplicando a Teoria do Comportamento Planeado, o estudo aborda um modelo que inclui o impacto na intenção de participar nos festivais. Assim procuram-se respostas para as questões: será que os receios do Covid-19 influenciarão a intenção de participação em festivais de verão? E qual ou quais poderão ser os fatores das crenças do TPB que mais poderão influenciar a intenção de participação nos festivais de verão? Além disso, este documento reflete sobre 117 inquiridos pertencentes a um grupo sobretudo de jovens adultos, cujo resultado empírico poderá contribuir para o desenvolvimento de medidas de comunicação de marketing melhor direcionadas a esse público alvo. Os resultados mostraram que os receios acerca do Covid-19 não são estatisticamente significativos para a influência na intenção de participação em festivais e que o construto que mais influência teve sobre a mesma intenção foi a crença comportamental.publishe

Algebraic structure for the crossing of balanced and stair nested designs

Stair nesting allows us to work with fewer observations than the most usual form of nesting, the balanced nesting. In the case of stair nesting the amount of information for the different factors is more evenly distributed. This new design leads to greater economy, because we can work with fewer observations. In this work we present the algebraic structure of the cross of balanced nested and stair nested designs, using binary operations on commutative Jordan algebras. This new cross requires fewer observations than the usual cross balanced nested designs and it is easy to carry out inference

Helping programmers improve the energy efficiency of source code

This paper briefly proposes a technique to detect energy inefficient fragments in the source code of a software system. Test cases are executed to obtain energy consumption measurements, and a statistical method, based on spectrum-based fault localization, is introduced to relate energy consumption to the system's source code. The result of our technique is an energy ranking of source code fragments pointing developers to possible energy leaks in their code.This work is financed by the ERDF European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme and by National Funds through the Portuguese funding agency, FCT - Fundacao para a Ciencia e a Tecnologia within project POCI-01-0145-FEDER-016718 and UID/CEC/04516/2013; and by FLAD/NSF under the project Software Repositories for Green Computing, ref. 300/2015. The first author is also sponsored by FCT grant SFRH/BD/112733/2015

Exploring system behavior in a system ontology

Understanding and modeling system behavior is a key aspect of many disciplines, and is crucial when systems are designed to manifest desirable behaviors. In order to grasp system behavior, it is inevitable to address how it emerges from the properties and behaviors of interrelated system components. In pursuit of an understanding of the emergence phenomenon and to account for the nature of emergent system behavior, this paper takes a first step in extending a system core ontology with behavioral aspects. The ontology extension is grounded on the Unified Foundational Ontology and also in system science definitions and disposition theories.</p

Brain MRI in a patient with classical galactosemia: acute event of unilateral hemispheric cerebral edema

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Reversible imine crosslinking in waterborne self-healing polymer coatings

Waterborne polymer coatings have the potential to address the environmental concerns associated with solvent based systems. To improve their performance without using volatile organic compounds, we propose a new approach based on reconfigurable covalent crosslinking that provides mechanical resistance and self-healing properties. The new waterborne polymer coatings are based on mixtures of aldehyde- and amine-functionalized polymer nanoparticles (PNPs) that take advantage of the reversibility of imine bonds in the presence of water. Different degrees of functional monomer incorporation (10 % to 40 %) allowed us to balance crosslinking and interdiffusion during film formation, to obtain mechanically robust and solvent resistant films. A clear structure-properties relation was assessed by following the formation of water resulting from amine-aldehyde condensation crosslinking, measured by differential scanning calorimetry. The resulting polymer coatings further show self-healing properties at room temperature, triggered with residual amounts of water and featuring high recovery rates of the mechanical properties. Our mechanically robust waterborne polymer coatings based in imine reversible crosslinking, featuring self-healing in mild conditions, offer excellent prospects for application in smart coating materials.publishe

Parallel association of power semiconductors: an experimental evaluation with IGBTs and MOSFETs

This paper presents a study on the parallel association of power semiconductors. The main purpose of this paper is to demonstrate that the parallel association of lower rated power semiconductors can be more advantageous than the use of a single higher rated power semiconductor, both economically and in terms of dynamic performance, i.e., switching behavior and semiconductor temperature. In this context, two different power semiconductor technologies were tested: (1) Insulated gate bipolar transistors (IGBTs); and (2) Metal oxide semiconductor field effect transistors (MOSFETs). For each technology, the adopted methodology consisted of verifying the dynamic performance of a single higher rated power semiconductor, comparing it with the dynamic performance of a set of five parallel-connected lower rated power semiconductors, focusing on the current sharing between the devices. The obtained experimental results demonstrate that the parallel connection of lower rated power semiconductors can be advantageous over the use of a single higher rated power semiconductor above certain power levels, offering better switching characteristics and lower cost.INCT-EN -Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção (SFRH/BD/134353/2017

Real-time 3D object detection and SLAM fusion in a low-cost LiDAR test vehicle setup

Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud data as input for the neural networks, highlighting the importance of LiDAR technology in the field of Autonomous Driving (AD). In this sense, a great percentage of the vehicle platforms used to create the datasets released for the development of these neural networks, as well as some AD commercial solutions available on the market, heavily invest in an array of sensors, including a large number of sensors as well as several sensor modalities. However, these costs create a barrier to entry for low-cost solutions for the performance of critical perception tasks such as Object Detection and SLAM. This paper explores current vehicle platforms and proposes a low-cost, LiDAR-based test vehicle platform capable of running critical perception tasks (Object Detection and SLAM) in real time. Additionally, we propose the creation of a deep learning-based inference model for Object Detection deployed in a resource-constrained device, as well as a graph-based SLAM implementation, providing important considerations, explored while taking into account the real-time processing requirement and presenting relevant results demonstrating the usability of the developed work in the context of the proposed low-cost platform