Legado da cultura alemã na literatura de Guimarães Rosa

João Guimarães Rosa was strongly influenced by the German literature, philosophy and music. The German tradition and its methods of associations suggested him to develop his own methodologies from the substrates provided by traditional Brazilian songs. This paper shows the general effects of musical techniques in short-stories of "Sagarana", the influence of Heidegger´s philosophy and the use of the concept of Wagner´s 'Grundmotiv' in "O burrinho pedrês" and "Sarapalha". Finally, it is proposed some connections between "A hora e vez de Augusto Matraga" (ROSA) and "Parsifal", by Wagner.A proximidade entre música, filosofia e literatura na tradição alemã e seus métodos de aproveitamento dessas relações marcou profundamente João Guimarães Rosa, possibilitandolhe desenvolver trilhas próprias a partir dos substratos oferecidos pelas cantigas tradicionais brasileiras. Os efeitos gerais das técnicas musicais em "Sagarana", a influência de conceitos da filosofia de Heidegger, a utilização do 'Grundmotiv' wagneriano em "O burrinho pedrês" e "Sarapalha" e as semelhanças entre a narrativa "A hora e vez de Augusto Matraga" e a opera "Parsifal", de Wagner, constituem o objeto desta reflexão.Die Nähe zwischen Musik, Philosophie und Literatur in der deutschen Tradition und in ihren Methoden faszinierte João Guimarães Rosa zutiefst. Aus dem deutschen Beispiel heraus entwickelte er seine Methodenlehre der Organisation der brasilianischen traditionellen Lieder. Dieser Artikel diskutiert die allgemeine Wirkung der musikalischen Schreibtechniken in ausgewählten Kurzgeschichten aus dem Band "Sagarana": In "O burrinho pedrês" und "Sarapalha" wird der Einfluss von Heideggers Philosophie diskutiert bei gleichzeitiger Berücksichtigung vom Wagnerischen Konzept des 'Grundmotiven': In "A hora e a vez de Augusto Matraga" werden die Beziehungen zu Wagners "Parsifal" analysiert

Development of language modelling techniques for protein sequence analysis

Dissertação de mestrado em BioinformaticsNowadays, the ability to predict protein functions directly from amino-acid sequences alone remains a major biological challenge. The understanding of protein properties and functions is extremely important and can have a wide range of biotechnological and medical applications. Technological advances have led to an exponential growth of biological data challenging conventional analysis strategies. High-level representations from the field of deep learning can provide new alternatives to address these problems, particularly NLP methods, such as word embeddings, have shown particular success when applied for protein sequence analysis. Here, a module that eases the implementation of word embedding models toward protein representation and classification is presented. Furthermore, this module was integrated in the ProPythia framework, allowing to straightforwardly integrate WE representations with the training and testing of ML and DL models. This module was validated using two protein classification problems namely, identification of plant ubiquitylation sites and lysine crotonylation site prediction. This module was further used to explore enzyme functional annotation. Several WE were tested and fed to different ML and DL networks. Overall, WE achieved good results being even competitive with state-of-the-art models, reinforcing the idea that language based methods can be applied with success to a wide range of protein classification problems. This work presents a freely available tool to perform word embedding techniques for protein classification. The case studies presented reinforce the usability and importance of using NLP and ML in protein classification problems.Hoje em dia, a habilidade de prever a função de proteínas a partir apenas da sequências de amino-ácidos permanece um dos grandes desafios biológicos. A compreensão das propriedades e das funções das proteinas é de extrema importância e pode ter uma grande variedade de aplicações médicas e biotecnológicas. Os avanços nas tecnologia levaram a um crescimento exponencial de dados biológicos, desafiando as estratégias convencionais de análise. O campo do Deep Learning pode providenciar novas alternativas para atender à resolução destes problemas, em particular, os métodos de processamento de linguagem, como por exemplo word embeddings, mostraram especial sucesso quando aplicados para análise de sequências proteicas. Aqui, é apresentado um módulo que facilita a implementação de modelos de “word embedding” para representação e classificação de proteínas. Além disso, este módulo foi integrado na framework ProPythia, permitindo integrar diretamente as representações WE com o treino e teste de modelos ML e DL. Este módulo foi validado usando dois problemas de classificação de proteínas, identificação de locais de ubiquitilação de plantas e previsão de locais de crotonilação de lisinas. Este módulo foi usado também para explorar a anotação funcional de enzimas. Vários WE foram testados e utilizados em diferentes redes ML e DL. No geral, as técnicas de WE obtiveram bons resultados sendo competitivas, mesmo com modelos descritos no estado da arte, reforçando a ideia de que métodos baseados em linguagem podem ser aplicados com sucesso a uma ampla gama de problemas de classificação de proteínas. Este trabalho apresenta uma ferramenta para realizar técnicas de word embedding para classificação de proteínas. Os caso de estudo apresentados reforçam a usabilidade e importância do uso de NLP e ML em problemas de classificação de proteínas

Terminology and Diachrony: A Comparative Study on Sugar Terminology in Brazilian Portuguese

The aim of this work is to point out and describe Terminology problems related to the diachronic variation of a terminology based on the conceptual analysis1of two structures concerning two process models sugar plantation and factory of a same technical area sugar production separated by a certain period of time and submitted to constant technological linguistic and cultural revolutions For this reason we described the factors which interfere in those transformations the manner that the consolidation level of a social sphere represents its systemic regularity and we tried to prove based on a diachronic research that the dynamics of the speciality subsystems has the same functioning of the one that rules the general languag

Phonon-limited carrier mobility and resistivity from carbon nanotubes to graphene

Under which conditions do the electrical transport properties of one-dimensional (1D) carbon nanotubes (CNTs) and 2D graphene become equivalent? We have performed atomistic calculations of the phonon-limited electrical mobility in graphene and in a wide range of CNTs of different types to address this issue. The theoretical study is based on a tight-binding method and a force-constant model from which all possible electron-phonon couplings are computed. The electrical resistivity of graphene is found in very good agreement with experiments performed at high carrier density. A common methodology is applied to study the transition from 1D to 2D by considering CNTs with diameter up to 16 nm. It is found that the mobility in CNTs of increasing diameter converges to the same value, the mobility in graphene. This convergence is much faster at high temperature and high carrier density. For small-diameter CNTs, the mobility strongly depends on chirality, diameter, and existence of a bandgap.Comment: 12 page

Back to the edge: relative coordinate system for use-wear analysis

Use-wear studies rely heavily on experiments and reference collections to infer the function of archeological artifacts. Sequential experiments, in particular, are necessary to understand how use-wear develops. Consequently, it is crucial to analyze the same location on the tool's surface during the course of an experiment. Being able to relocate the area of interest on a sample is also essential for reproducibility in use-wear studies. However, visual relocation has limited applicability and there is currently no easy and efficient alternative. Here we propose a simple protocol to create a coordinate system directly on the sample. Three ceramic beads that serve as reference markers are adhered onto the sample, either with epoxy resin or acrylic polymer. The former is easier to work with but the latter is reversible so it can be applied to archeological samples too. The microscope's software then relocates the position(s) of interest. We demonstrate the feasibility of this approach and measure its repeatability by imaging the same position on an experimental flint blade 10 times with two confocal microscopes. Our results show that the position can be relocated automatically with a horizontal positional repeatability of approximately 14% of the field of view. Quantitative surface texture measurements according to ISO 25178 vary due to this positional inaccuracy, but it is still unknown whether this variation would mask functional differences. Although still perfectible, we argue that this protocol represents an important step toward repeatability and reproducibility in experimental archeology, especially in use-wear studies.Funding Agency Romisch-Germanisches Zentralmuseum - Leibniz Research Institute for Archeology by German Federal and Rhineland Palatinate funding (Sondertatbestand "Spurenlabor")info:eu-repo/semantics/publishedVersio

Honey bee-collected pollen is a potential source of Ascosphaera apis infection in managed bumble bees

The trade of bumble bees started in the early nineties for pollinator-dependent greenhouse plants. Nowadays, its rearing and transport have received public attention, since managed bees can transfer pathogens to wild bee populations. Therefore, guaranteeing pathogen-free bumble bees is fundamental. The major protein source used in rearing facilities is honey bee-collected pollen. This can carry pathogens, however to date, solid data on the risk of this food source to the health of bumble bees is lacking. Here we performed a large pathogen screening of non-irradiated honey bee-collected pollen to discover particles infective to Bombus terrestris. We identified seven parasites (Apicystis bombi, Ascosphaera apis, Crithidia mellificae, Nosema ceranae, Paenibacillus larvae and two parasites resembling Nosema thomsoni and Microsporidium sp. Oise) and four viruses (CBPV, DWV, IAPV and SBV) in 17 pollen batches from two major European pollen source regions (Spain and Romania). Ascosphaera apis was capable of infecting bumble bees; the larvae showed similar symptoms to chalkbrood disease reported in honey bees. Bumble bee breeding facilities need to be cautious about the potential presence of this disease, which was originally reported in honey bees. Thorough diagnostic and control methods are needed, as risk of spillover to wild bee species is possible

Experimental implementation of multi-actuator vibration control on an indoor walkway

© 2014, Author(s).Author's manuscript of conference paper published by CIMNE, 2014Active vibration control (AVC) using inertial mass actuators has been shown to have great potential to mitigate vibrationsand to allow the construction of increasingly slender structures leading to significant material savings. Until now, experimentalapplications have mainly involved the use of SISO (single-input single-output) rather than MIMO (multiple-input multiple-output) strategies. Recently, the authors have proposed a MIMO vibrationcontrol methodology based on the velocity-output-feedback concept that considers the dynamics of the inertial actuatorsand other important issues in human-induced vibrations.This paper details the experimental implementation carried out on an indoorin-service walkway. The experimental programmeundertaken involved frequency walking tests, walking tests, heel-drop tests and continuous whole-day in-service monitoring.These measurements enabled the assessment of the vibration control performance, which has been shown to be excellen

Wavelets: teoria i aplicacions al tractament de senyals

Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: F. Javier Soria de Diego[en] The present work is aimed to investigate the Wavelets. They may be argued to appear for the first time at the beginning of the 20th century, when Alfréd Haar presented what is currently known as Haar’s base, which will be covered in the third chapter. However, the Wavelets as we know them do not appear until the eighties, when Pierre Goupillaud, Alex Grosman and Jean Morlet carry out the first study using the current terminology. After that, Jan Olov-Strömberg investigated the discrete case, and further important insights were posed by mathematicians such as Ingrid Daubechies and Yves Meyer, who will be mentioned in chapter four. One of the main sources of inspiration to choose this work was the diversity of applications which this theory has displayed both in engineering and computing areas (i.e. the application of the discrete case), and in many physics areas, where it is substituting Fourier’s transform due to its affordances concerning the analysis of time and frequency signal. Furthermore, Wavelets become an essential signals compression tool, as it will be suggested in chapter five