Vocational identity in adolescence according to family

The present study aims to analyze the relation between the statutes of vocational identity and family variables, throughout adolescence. The variables related to the family context that were taken into account were the following: parental authority, perception of parents’ support, parents’ qualifications, family self-concept, sibling friendship, divorce versus non divorce of parents, and television viewing of aggressive programs. The sample consisted of 357 students of different school years (7th, 9th and 11th grades) and of both sexes. Melgosa’s (1987) Occupational Identity Scale, already adapted to Portugal, was used as the evaluation instrument, with the following factors: diffusion, foreclosure, moratorium, achievement. Analyses of the results showed significant differences in most situations as regards the dimensions of vocational identity, according to each of the independent variables; these differences favored the groups belonging to better family contexts. In several of the situations the effect of the interaction of the variable school year with the variables related to the family context was also found. This study includes the discussion of the results and their comparison to somewhat similar investigations, suggesting the need for further research associated to school and personal variables

The role of bacteria in pine wilt disease: insights from microbiome analysis.

Pine Wilt Disease (PWD) has a significant impact on Eurasia pine forests. The microbiome of the nematode (the primary cause of the disease), its insect vector, and the host tree may be relevant for the disease mechanism. The aim of this study was to characterize these microbiomes, from three PWD-affected areas in Portugal, using Denaturing Gradient Gel Electrophoresis, 16S rRNA gene pyrosequencing, and a functional inference-based approach (PICRUSt). The bacterial community structure of the nematode was significantly different from the infected trees but closely related to the insect vector, supporting the hypothesis that the nematode microbiome might be in part inherited from the insect. Sampling location influenced mostly the tree microbiome (P < 0.05). Genes related both with plant growth promotion and phytopathogenicity were predicted for the tree microbiome. Xenobiotic degradation functions were predicted in the nematode and insect microbiomes. Phytotoxin biosynthesis was also predicted for the nematode microbiome, supporting the theory of a direct contribution of the microbiome to tree-wilting. This is the first study that simultaneously characterized the nematode, tree and insect-vector microbiomes from the same affected areas, and overall the results support the hypothesis that the PWD microbiome plays an important role in the disease's development

Learning feed-forward one-shot learners

One-shot learning is usually tackled by using generative models or discriminative embeddings. Discriminative methods based on deep learning, which are very effective in other learning scenarios, are ill-suited for one-shot learning as they need large amounts of training data. In this paper, we propose a method to learn the parameters of a deep model in one shot. We construct the learner as a second deep network, called a learnet, which predicts the parameters of a pupil network from a single exemplar. In this manner we obtain an efficient feed-forward one-shot learner, trained end-to-end by minimizing a one-shot classification objective in a learning to learn formulation. In order to make the construction feasible, we propose a number of factorizations of the parameters of the pupil network. We demonstrate encouraging results by learning characters from single exemplars in Omniglot, and by tracking visual objects from a single initial exemplar in the Visual Object Tracking benchmark.Comment: The first three authors contributed equally, and are listed in alphabetical orde

End-to-end representation learning for Correlation Filter based tracking

The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector to be re-trained once per frame. Previous works that use the Correlation Filter, however, have adopted features that were either manually designed or trained for a different task. This work is the first to overcome this limitation by interpreting the Correlation Filter learner, which has a closed-form solution, as a differentiable layer in a deep neural network. This enables learning deep features that are tightly coupled to the Correlation Filter. Experiments illustrate that our method has the important practical benefit of allowing lightweight architectures to achieve state-of-the-art performance at high framerates.Comment: To appear at CVPR 201

Design science research with focus groups - a pragmatic meta-model

Purpose – The purpose of this research paper is to present a pragmatic and systematic approach to conduct and document Design Science Research (DSR) activities with Focus Groups (FG), exploring its continuous usage and providing traceability between problem, requirements, solutions, and artifacts. Design/methodology/approach – To conduct the research and produce the meta-model for DSR with FG, a DSR approach was adopted using a conceptual model for Action Design Research already available. The artifact is the result from a specific literature review to define requirements, a careful design, and a refinement stage where it was widely used and tested in real IS implementation projects. Findings – The main outcome of this research is a specific meta-model for DSR with FG, that delivers new insights and practical guidelines for academics and professionals conducting and documenting real-world research and development initiatives deep-rooted in stakeholders’ participation. Rigorous and committed stakeholder engagement is a critical success factor in complex projects. The use of a meta-model enables to increase the process effectiveness, by framing debate and stimulating stakeholders’ participation. Research limitations/implications – The meta-model has been endorsed as a practical and useful artifact by the stakeholders participating in the IS projects where it was adopted. However, to fully demonstrate its capabilities and to become more robust, the model must be further used and tested in other application situations and environments. Originality/value – The usage of Focus Groups (FG) in Design Science Research (DSR) has already been proposed as an effective way, either to study artifacts, to propose improvements in its design, or to acknowledge the utility of those artifacts in field use. The paper provides a sound contribution to this line of research by presenting a meta-model that integrates process and data that may be used by researchers and practitioners to conduct their projects.info:eu-repo/semantics/acceptedVersio

Long-Term Visual Object Tracking Benchmark

We propose a new long video dataset (called Track Long and Prosper - TLP) and benchmark for single object tracking. The dataset consists of 50 HD videos from real world scenarios, encompassing a duration of over 400 minutes (676K frames), making it more than 20 folds larger in average duration per sequence and more than 8 folds larger in terms of total covered duration, as compared to existing generic datasets for visual tracking. The proposed dataset paves a way to suitably assess long term tracking performance and train better deep learning architectures (avoiding/reducing augmentation, which may not reflect real world behaviour). We benchmark the dataset on 17 state of the art trackers and rank them according to tracking accuracy and run time speeds. We further present thorough qualitative and quantitative evaluation highlighting the importance of long term aspect of tracking. Our most interesting observations are (a) existing short sequence benchmarks fail to bring out the inherent differences in tracking algorithms which widen up while tracking on long sequences and (b) the accuracy of trackers abruptly drops on challenging long sequences, suggesting the potential need of research efforts in the direction of long-term tracking.Comment: ACCV 2018 (Oral

Kan replacement of simplicial manifolds

We establish a functor $Kan$ from local Kan simplicial manifolds to weak Kan simplicial manifolds. It gives a solution to the problem of extending local Lie groupoids to Lie 2-groupoids.Comment: 19 pages, 11 figures, Lemma 2.2 improved, Prop.-Def. 2.3 modified. to appear in Letters in Mathematical Physic

Measurement of miniband parameters of a doped superlattice by photoluminescence in high magnetic fields

We have studied a 50/50\AA superlattice of GaAs/Al$_{0.21}$Ga$_{0.79}$As composition, modulation-doped with Si, to produce $n=1.4\times 10^{12}$ cm$^{-2}$ electrons per superlattice period. The modulation-doping was tailored to avoid the formation of Tamm states, and photoluminescence due to interband transitions from extended superlattice states was detected. By studying the effects of a quantizing magnetic field on the superlattice photoluminescence, the miniband energy width, the reduced effective mass of the electron-hole pair, and the band gap renormalization could be deduced.Comment: minor typing errors (minus sign in eq. (5)

Apologues and fables as educational resources on earth sciences

Comunicação apresentada ao VIII Congresso Nacional de Geologia, em Braga (9-16 de Julho 2010)O presente trabalho visa dar a conhecer a literatura infantil editada no âmbito do Programa de Divulgação no triénio dedicado ao Ano Internacional do Planeta Terra (AIPT), em Portugal (2007-2009), a que o Comité Português para o AIPT deu o seu apoio institucional – representada por apólogos e fábulas inovadores, cujos protagonistas e/ou enredos remetem para o conhecimento no âmbito de várias disciplinas das Ciências da Terra, entre outras –, bem como destacar o papel que tais narrativas podem desempenhar como recursos educativos pertinentes para a promoção de um desenvolvimento sustentável.This paper aims to promote children’s literature published in the framework of the Outreach Programme during the three years dedicated to the International Year of Planet Earth (IYPE), in Portugal (2007-2009), which the Portuguese Committee for IYPE gave its institutional support – represented by innovative apologues and fables, whose protagonists and/or plots refer to the knowledge of several disciplines within the Earth Sciences, among others - as well as highlighting the role that such narratives can play as educational resources relevant to the promotion of sustainable development