A educação dramática na formação inicial de professores e educadores

As atividades de Educação Dramática convocam uma diversidade de possibilidades expressivas. Integradas no currículo de formação inicial de professores e educadores, os projetos de criação dramática, orientados para a performance, implicam, no seu processo criativo, um envolvimento grupal que deverá constituir matéria suficiente de análise e de avaliação por parte dos seus intervenientes em relação à sua própria participação e às relações interpares. O paradigma metodológico orientador do processo dramático-teatral a que nos remetemos assenta num modelo construtivista do processo educacional. Pelo seu caráter explorativo e experimental, a aprendizagem dramático-teatral deverá ser sustentada em estratégias colaborativas entre professor e aluno, implicando, para tal, a possibilidade de tomada de decisões partilhadas, num ambiente de respeito e igualdade.The activities of Drama Education are open to a diversity of expressive possibilities. Integrated in the pre-service training curriculum for teachers and educators, the dramatic creation projects, oriented to performance, imply, in its creative process, a group involvement that should be sufficient matter of analysis and evaluation by those involved in relation to its own participation and relations between peers. The methodological guidance paradigm of the dramatic and theatrical process that guide us is based on a constructivist model of the educational process. Due its exploratory and experimental character, dramatic and theatrical learning should be based on collaborative strategies between teacher and student, implying, to this end, that decision-making possibilities could be shared in an environment of respect and equality.CIEC - Centro de Investigação em Estudos da Criança, IE, UMinho (UI 317 da FCT), Portugal. Fundos Nacionais através da FCT (Fundação para a Ciência e a Tecnologia) e cofinanciado pelo Fundo Europeu de Desenvolvimento Regional (FEDER) através do COMPETE 2020 – Programa Operacional Competitividade e Internacionalização (POCI) com a referência POCI-01-0145-FEDER-007562info:eu-repo/semantics/publishedVersio

Can the electronic nose diagnose cronic rhinosinusitis? A new experimental study

In otorhinolaryngologist's experience the nasal out-breath of people affected by chronic nasal or paranasal infections may be characterized by peculiar odours. In a previous study we showed that an electronic nose (EN), examining nasal out breath was able to distinguish subjects affected by chronic rhinosinusitis from healthy subjects. The present study is aimed at analysing the intensity and the quality of the odorous components present in the air expired by patients affected by rhinosinusitis, using a new EN based on gas-chromatography and surface acoustic wave analysis. In the gas-chromatographic tracings of the pathologic subjects there were six peaks, which were not present in control group cases. These peaks correspond to odorous components, whose chemical composition ranges from C6 to C14. Peaks obtained were compaired with other tracings revealed from specific bacterial and fungal cultures analyses and we appreciated some analogies

Reverse Engineering Gene Networks with ANN: Variability in Network Inference Algorithms

Motivation :Reconstructing the topology of a gene regulatory network is one of the key tasks in systems biology. Despite of the wide variety of proposed methods, very little work has been dedicated to the assessment of their stability properties. Here we present a methodical comparison of the performance of a novel method (RegnANN) for gene network inference based on multilayer perceptrons with three reference algorithms (ARACNE, CLR, KELLER), focussing our analysis on the prediction variability induced by both the network intrinsic structure and the available data. Results: The extensive evaluation on both synthetic data and a selection of gene modules of "Escherichia coli" indicates that all the algorithms suffer of instability and variability issues with regards to the reconstruction of the topology of the network. This instability makes objectively very hard the task of establishing which method performs best. Nevertheless, RegnANN shows MCC scores that compare very favorably with all the other inference methods tested. Availability: The software for the RegnANN inference algorithm is distributed under GPL3 and it is available at the corresponding author home page (http://mpba.fbk.eu/grimaldi/regnann-supmat

Algebraic Comparison of Partial Lists in Bioinformatics

The outcome of a functional genomics pipeline is usually a partial list of genomic features, ranked by their relevance in modelling biological phenotype in terms of a classification or regression model. Due to resampling protocols or just within a meta-analysis comparison, instead of one list it is often the case that sets of alternative feature lists (possibly of different lengths) are obtained. Here we introduce a method, based on the algebraic theory of symmetric groups, for studying the variability between lists ("list stability") in the case of lists of unequal length. We provide algorithms evaluating stability for lists embedded in the full feature set or just limited to the features occurring in the partial lists. The method is demonstrated first on synthetic data in a gene filtering task and then for finding gene profiles on a recent prostate cancer dataset

SFM-MVS photogrammetry for rockfall analysis and hazard assessment along the ancient roman via Flaminia road at the Furlo gorge (Italy)

Rockfall events represent significant hazards for areas characterized by high and steep slopes and therefore effective mitigation controls are essential to control their effect. There are a lot of examples all over the world of anthropic areas at risk because of their proximity to a rock slope. A rockfall runout analysis is a typical 3D problem, but for many years, because of the lack of specific software, powerful computers, and economic reasons, a 2D approach was normally adopted. However, in recent years the use of 3D software has become quite widespread and different runout working approaches have been developed. The contribution and potential use of photogrammetry in this context is undoubtedly great. This paper describes the application of a 3D hybrid working approach, which considers the integrated use of traditional geological methods, Terrestrial Laser Scanning, and drone based Digital Photogrammetry. Such approach was undertaken in order to perform the study of rockfall runout and geological hazard in a natural slope in Italy in correspondence of an archaeological area. Results show the rockfall hazard in the study area and highlights the importance of using photogrammetry for the correct and complete geometrical reconstruction of slope, joints, and block geometries, which is essential for the analysis and design of proper remediation measures

A Brief History of Self-determination Referendums Before 1920

The article presents an account of the history of the discourses of self-determination referendums from 1552 to 1920. The referendum has played an important part in the discourse of self-determination since it was first pioneered by the French King Henry II in the sixteenth century. While the principle of self-determination expressed through plebiscites was mentioned en passant by Erasmus of Rotterdam, Grotius and Pufendorf, it was only after the French Revolution that the doctrine gained wider practical recognition. In the mid-nineteenth century the referendum was much debated and practised in Italy during the Risorgimento in the early twentieth century the doctrine was once again revived by Woodrow Wilson. But generally the principle was being used by statesmen in pursuit of narrow self-interest idealistic goals. This is an Accepted Manuscript of an article published by Taylor & Francis in Ethnopolitics on 2015, available online: http://www.tandfonline.com/ 10.1080/17449057.2015.105182

DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling

: DYNAMITE, an acronym for DYNamic Archetypal analysis for MIning disease TrajEctories, is a new methodology developed specifically to model disease progression by exploiting information available in longitudinal clinical datasets. First, archetypal analysis is applied to data organised in matrix form, with the aim of finding extreme and representative disease states (archetypes) linked to the original data through convex coefficients. Then, each original observation is associated with a single archetype based on their similarity; finally, an event log is created encoding the progression of disease states for each patient in terms of archetype states. In the last stage of the procedure, archetypal analysis is coupled with process mining, which allows the event log archetypes to be visualised graphically as sequences of disease states, allowing the clinical trajectories of patients to be extracted and examined. As a proof of concept, we applied the proposed method to data from a cohort of amyotrophic lateral sclerosis patients whose progression was monitored using the 12-item ALSFRS-R questionnaire. Without any a priori knowledge, DYNAMITE identified six archetypes clearly describing different types and severity of impairment and provided reliable clinical trajectories consistent with the prognosis of amyotrophic lateral sclerosis patients. DYNAMITE offers high interpretability at every stage of the analysis, which makes it particularly suitable for use in healthcare where explainability is paramount, and enables analysis of clinical trajectories at both individual and population levels

Mutational Landscape of Bone Marrow CD19 and CD138 Cells in Waldenström Macroglobulinemia (WM) and IgM Monoclonal Gammopathy of Undetermined Significance (IgM MGUS)

Despite recurrent and activating mutations, including MYD88, CXCR4, ARID1A, KMT2D, and CD79B were identified, the genetic basis for Waldenström’s Macroglobulinemia (WM) and the risk of progression of IgM MGUS to WM remain to be fully elucidated. We investigated the mutation status of WM (n=8), sWM (n=7), and IgM MGUS (n=5) patients, by performing high-throughput targeted AmpliSeq NGS on 117 target genes. We detected the classic mutation MYD88L265P in 93% of WM/sWM and in 60% of IgM MGUS patients. The CXCR4S338Ter mutation was identified in 26% of WM/sWM patients, whereas it was undetectable in IgM MGUS subjects. Interestingly, we identified new mutated genes, including WNK2 somatic mutations affecting 46% of WM/sWM patients, for which a recurrent allelic variant (V1635Ter) was observed in this cohort, and BCL9 with a frameshift variant (P516Lfs) in 26% of WM/sWM and in one IgM MGUS patient. Moreover, sequencing evaluation revealed recurrently frameshift or missense mutations involving NFKB2 (L473Afs), PTPN13 (P1546Tfs), CARD11 (S622del), KMT2C (I823T), and ATM in WM and IgM MGUS patients