bluuebunny/crossref_metadata_2025 huggingface dataset:
Pile Side Resistance in Sands for the Unloading Effect and Modulus Degradation
Authors: Zhao C. F. , Wu Y. , Zhao C. , Zhang Q. Z. , Liu F. M. , Liu F.
Published: April 2019

A total of 36 groups of sand-concrete interface loading and unloading direct shear tests were used to analyze the mechanical properties of the pile side-soil interface. The test results show that the interface residual shear stress for the same applied normal stress tends to be constant for the rough sand-concrete interface. The initial shear modulus and peak shear stress of the interface both decrease with the degree of unloading and increase with the interface roughness. The maximum amount of interface shear dilatancy increases with the degree of unloading, and the maximum amount of interface shear shrinkage decreases with unloading for the same interface roughness. A pile side resistance-displacement model is established using the shear displacement method. The proposed function considers both the radial unloading effect and modulus degradation of soil around the pile. The effect of radial unloading and interface roughness on the degradation of the equivalent shear modulus is analyzed using a single fitting parameter b. Good agreement of the proposed model is confirmed by applying the direct shear tests of the 36 groups.
Computational Semantics in Neural Times
Authors: Bos Johan
Published: April 2019

Semantic parsing is more popular than ever. One reason is that we have a rising number of semantically annotated corpora. Another reason is that there is new AI technology to be explored. In this talk I will present a new corpus of open-domain texts annotated with formal meaning representations. Using a parallel corpus, the resource is developed not only for English, but also for Dutch, German and Italian. The meaning representations comprise logical operators to assign scope, comparison operators, and non-logical symbols. The non-logical symbols are completely grounded in WordNet concepts and VerbNet-style roles. I will contrast two methods for semantic parsing on this corpus: a traditional technique using a categorial grammar and lambda-calculus, and an ultra-modern way using a (surprise, surprise) neural network. Guess which one performs better!
Distributional Analysis of Verbal Neologisms: Task Definition and Dataset Construction
Authors: Amore Matteo , McGregor Stephen , Jezek Elisabetta
Published: April 2019

In this paper we introduce the task of interpreting verbal neologism (VNeo) for the Italian language making use of a highly context-sensitive distributional semantic model (DSM). The task is commonly performed manually by lexicographers verifying the contexts in which the VNeo appear. Developing such a task is likely to be of use from a cognitive, social and linguistic perspective. In the following, we first outline the motivation for our study and our goal, then focus on the construction of the dataset and the definition of the task.
“Buon appetito!” - Analyzing Happiness in Italian Tweets
Authors: Basile Pierpaolo , Novielli Nicole
Published: April 2019

We report the results of an exploratory study aimed at investigating the language of happiness in Italian tweets. Specifically, we conduct a time-wise analysis of the happiness load of tweets by leveraging a lexicon of happiness extracted from 8.6M tweets. Furthermore, we report the results of a statistical linguistic analysis aimed at extracting the most frequent concepts associated with the happy and sad words in our lexicon.
Long-term Social Media Data Collection at the University of Turin
Authors: Basile Valerio , Lai Mirko , Sanguinetti Manuela
Published: April 2019

We report on the collection of social media messages — from Twitter in particular — in the Italian language that is continuously going on since 2012 at the University of Turin. A number of smaller datasets have been extracted from the main collection and enriched with different kinds of annotations for linguistic purposes. Moreover, a few extra datasets have been collected independently and are now in the process of being merged with the main collection. We aim at making the resource available to the community to the best of our possibility, in accordance with the Terms of Service provided by the platforms where data have been gathered from.
Modelling Italian construction flexibility with distributional semantics: Are constructions enough?
Authors: Busso Lucia , Pannitto Ludovica , Lenci Alessandro
Published: April 2019

The present study combines psycholinguistic evidence on Italian valency coercion and a distributional analysis. The paper suggests that distributional properties can provide useful insights on how general abstract constructions influence the resolution of coercion effects. However, complete understanding of the processing and recognition of coercion requires to take into consideration the complex intertwining of lexical verb and abstract constructions.
The SEEMPAD Dataset for Emphatic and Persuasive Argumentation
Authors: Cabrio Elena , Villata Serena
Published: April 2019

Emotions play an important role in argumentation as humans mix rational and emotional attitudes when they argue with each other to take decisions. The SEEMPAD project aims at investigating the role of emotions in human argumentation. In this paper, we present a resource resulting from two field experiments involving humans in debates, where arguments put forward during such debates are annotated with the emotions felt by the participants. In addition, in the second experiment, one of the debaters plays the role of the persuader, to convince the other participants about the goodness of her viewpoint applying different persuasion strategies. To the best of our knowledge, this is the first dataset of arguments annotated with the emotions collected from the participants of a debate, using facial emotion recognition tools.
Enhancing the Latin Morphological Analyser lemlat with a Medieval Latin Glossary
Authors: Cecchini Flavio , Passarotti Marco , Ruffolo Paolo , Draetta Lia , Fieromonte Martina , Liano Annarita , Marini Costanza , Piantanida Giovanni
Published: April 2019

We present the process of expanding the lexical basis of the Latin morphological analyser lemlat with the entries from the Medieval Latin glossary Du Cange. This process is performed semi-automatically by exploiting the morphological properties of lemmas, a previously available word list enhanced with inflectional information, and the contents of the lexical entries of Du Cange.
Automatically Predicting User Ratings for Conversational Systems
Authors: Cervone Alessandra , Gambi Enrico , Tortoreto Giuliano , Stepanov Evgeny A. , Riccardi Giuseppe
Published: April 2019

Automatic evaluation models for open-domain conversational agents either correlate poorly with human judgment or require expensive annotations on top of conversation scores. In this work we investigate the feasibility of learning evaluation models without relying on any further annotations besides conversation-level human ratings. We use a dataset of rated (1-5) open domain spoken conversations between the conversational agent Roving Mind (competing in the Amazon Alexa Prize Challenge 2017) and Amazon Alexa users. First, we assess the complexity of the task by asking two experts to re-annotate a sample of the dataset and observe that the subjectivity of user ratings yields a low upper-bound. Second, through an analysis of the entire dataset we show that automatically extracted features such as user sentiment, Dialogue Acts and conversation length have significant, but low correlation with user ratings. Finally, we report the results of our experiments exploring different combinations of these features to train automatic dialogue evaluation models. Our work suggests that predicting subjective user ratings in open domain conversations is a challenging task.
A NLP-based Analysis of Reflective Writings by Italian Teachers
Authors: Chiriatti Giulia , Gala Valentina Della , Dell’Orletta Felice , Montemagni Simonetta , Pettenati Maria Chiara , Sagri Maria Teresa , Venturi Giulia
Published: April 2019

This paper reports first results of a wider study devoted to exploit the potentialities of a NLP-based approach to the analysis of a corpus of reflective writings on teaching activities. We investigate how a wide set of linguistic features allows reconstructing the linguistic profile of the texts written by the Italian teachers and predicting whether are reflective.
Gender and Genre Linguistic profiling: a case study on female and male journalistic and diary prose
Authors: Cocciu• Eleonora , Brunato⋄ Dominique , Venturi⋄ Giulia , Dell’Orletta⋄ Felice
Published: April 2019

This paper intends to investigate the linguistic profile of male- and female-authored texts belonging to two very different textual genres: newspaper articles and diary prose. By using a wide set of linguistic features automatically extracted from text and spanning across different levels of linguistic description, from lexicon to syntax, our analysis highlights the peculiarities of the two examined genres and how the genre dimension is influenced by variation depending on author’s gender (and vice versa).
On the Readability of Deep Learning Models: the role of Kernel-based Deep Architectures
Authors: Croce Danilo , Rossini Daniele , Basili Roberto
Published: April 2019

Deep Neural Networks achieve state-of-the-art performances in several semantic NLP tasks but lack of explanation capabilities as for the limited interpretability of the underlying acquired models. In other words, tracing back causal connections between the linguistic properties of an input instance and the produced classification is not possible. In this paper, we propose to apply Layerwise Relevance Propagation over linguistically motivated neural architectures, namely Kernel-based Deep Architectures (KDA), to guide argumentations and explanation inferences. In this way, decisions provided by a KDA can be linked to the semantics of input examples, used to linguistically motivate the network output.
Lexicon and Syntax: Complexity across Genres and Language Varieties
Authors: dell’Oglio Pietro , Brunato Dominique , Dell’Orletta Felice
Published: April 2019

This paper presents first results of an ongoing work to investigate the interplay between lexical complexity and syntactic complexity with respect to nominal lexicon and how it is affected by textual genre and level of linguistic complexity within genre. A cross-genre analysis is carried out for the Italian language using multi–leveled linguistic features automatically extracted from dependency parsed corpora.
A Linguistic Failure Analysis of Classification of Medical Publications: A Study on Stemming vs Lemmatization
Authors: Di Nunzio Giorgio Maria , Vezzani Federica
Published: April 2019

Technology-Assisted Review (TAR) systems are essential to minimize the effort of the user during the search and retrieval of relevant documents for a specific information need. In this paper, we present a failure analysis based on terminological and linguistic aspects of a TAR system for systematic medical reviews. In particular, we analyze the results of the worst performing topics in terms of recall using the dataset of the CLEF 2017 eHealth task on TAR in Empirical Medicine.
Lexical Opposition in Discourse Contrast
Authors: Feltracco Anna , Magnini Bernardo , Jezek Elisabetta
Published: April 2019

We investigate the connection between lexical opposition and discourse relations, with a focus on the relation of contrast, in order to evaluate whether opposition participates in discourse relations.1 Through a corpus-based analysis of Italian documents, we show that the relation between opposition and contrast is not crucial, although not insignificant in the case of implicit relation. The correlation is even weaker when other discourse relations are taken into account.
A new Pitch Tracking Smoother based on Deep Neural Networks
Authors: Ferro Michele , Tamburini Fabio
Published: April 2019

This paper presents a new pitch tracking smoother based on deep neural networks (DNN). The proposed system has been extensively tested using two reference benchmarks for English and exhibited very good performances in correcting pitch detection algorithms outputs.
Using and evaluating TRACER for an Index fontium computatus of the Summa contra Gentiles of Thomas Aquinas
Authors: Franzini Greta , Passarotti Marco , Moritz Maria , Büchler Marco
Published: April 2019

This article describes a computational text reuse study on Latin texts designed to evaluate the performance of TRACER, a language-agnostic text reuse detection engine. As a case study, we use the Index Thomisticus as a gold standard to measure the performance of the tool in identifying text reuse between Thomas Aquinas’ Summa contra Gentiles and his sources.
Inter-Annotator Agreement in linguistica: una rassegna critica
Authors: Gagliardi Gloria
Published: April 2019

I coefficienti di Inter-Annotator Agreement sono ampiamente utilizzati in Linguistica Computazionale e NLP per valutare il livello di “affidabilità” delle annotazioni linguistiche. L’articolo propone una breve revisione della letteratura scientifica sull’argomento.
Concept Tagging for Natural Language Understanding:Two Decadelong Algorithm Development
Authors: Gobbi Jacopo , Stepanov Evgeny A. , Riccardi Giuseppe
Published: April 2019

Concept tagging is a type of structured learning needed for natural language understanding (NLU) systems. In this task, meaning labels from a domain ontology are assigned to word sequences. In this paper, we review the algorithms developed over the last twenty five years. We perform a comparative evaluation of generative, discriminative and deep learning methods on two public datasets. We report on the statistical variability performance measurements. The third contribution is the release of a repository of the algorithms, datasets and recipes for NLU evaluation.
The language-invariant aspect of compounding: Predicting compound meanings across languages
Authors: Günther Fritz , Marelli Marco
Published: April 2019

In the present study, we investigated to what extent compounding involves general-level cognitive abilities related to conceptual combination. If that was the case, the compounding mechanism should be largely invariant across different languages. Under this assumption, a compositional model trained on word representations in one language should be able to predict compound meanings in other languages. We investigated this hypothesis by training a word embedding-based compositional model on a set of English compounds, and subsequently applied this model to German and Italian test compounds. The model partially predicted compound meanings in German, but not in Italian.
From General to Specific: Leveraging Named Entity Recognition for Slot Filling in Conversational Language Understanding
Authors: Louvan Samuel , Magnini Bernardo
Published: April 2019

Slot filling techniques are often adopted in language understanding components for task-oriented dialogue systems. In recent approaches, neural models for slot filling are trained on domain-specific datasets, making it difficult porting to similar domains when few or no training data are available. In this paper we use multi-task learning to leverage general knowledge of a task, namely Named Entity Recognition (NER), to improve slot filling performance on a semantically similar domain-specific task. Our experiments show that, for some datasets, transfer learning from NER can achieve competitive performance compared with the state-of-the-art and can also help slot filling in low resource scenarios.
What’s in a Food Name: Knowledge Induction from Gazetteers of Food Main Ingredient
Authors: Magnini Bernardo , Balaraman Vevake , Magnolini Simone , Guerini Marco
Published: April 2019

We investigate head-noun identification in complex noun-compounds (e.g. table is the head-noun in three legs table with white marble top). The task is of high relevancy in several application scenarios, including utterance interpretation for dialogue systems, particularly in the context of e-commerce applications, where dozens of thousand of product descriptions for several domains and different languages have to be analyzed. We define guidelines for data annotation and propose a supervised neural model that is able to achieve 0.79 F1 on Italian food noun-compounds, which we consider an excellent result given both the minimal supervision required and the high linguistic complexity of the domain.
Progettare chatbot: considerazioni e linee guida
Authors: Mollo Eleonora , Rapp Amon , Mana Dario , Simeoni Rossana
Published: April 2019

Il lavoro si propone di delineare una serie di linee guida per la progettazione di chatbot e assistenti virtuali a partire dall’analisi degli attuali trend di progettazione e delle esigenze lato utente rilevate da precedenti lavori di rassegna della letteratura esistente. Il presente lavoro è stato svolto nell’ambito del progetto “Cognitive Solution for Intelligent Caring” di TIM.
Local associations and semantic ties in overt and masked semantic priming
Authors: Nadalini Andrea , Marelli Marco , Bottini Roberto , Crepaldi Davide
Published: April 2019

Distributional semantic models (DSM) are widely used in psycholinguistic research to automatically assess the degree of semantic relatedness between words. Model estimates strongly correlate with human similarity judgements and offer a tool to successfully predict a wide range of language-related phenomena. In the present study, we compare the state-of-art model with pointwise mutual information (PMI), a measure of local association between words based on their surface cooccurrence. In particular, we test how the two indexes perform on a dataset of sematic priming data, showing how PMI outperforms DSM in the fit to the behavioral data. According to our result, what has been traditionally thought of as semantic effects may mostly rely on local associations based on word co-occurrence.
EnetCollect in Italy
Authors: Nicolas Lionel , Lyding Verena , Bentivogli Luisa , Sangati Federico , Monti Johanna , Russo Irene , Gretter Roberto , Falavigna Daniele
Published: April 2019

In this paper, we present the enetCollect1 COST Action, a large network project, which aims at initiating a new Research and Innovation (R&I) trend on combining the well-established domain of language learning with recent and successful crowdsourcing approaches. We introduce its objectives, and describe its organization. We then present the Italian network members and detail their research interests within enetCollect. Finally, we report on its progression so far.
Towards Personalised Simplification based on L2 Learners’ Native Language
Authors: Aprosio Alessio Palmero , Menini Stefano , Tonelli Sara , Ducceschi Luca , Herzog Leonardo
Published: April 2019

We present an approach to improve the selection of complex words for automatic text simplification, addressing the need of L2 learners to take into account their native language during simplification. In particular, we develop a methodology that automatically identifies ‘difficult’ terms (i.e. false friends) for L2 learners in order to simplify them. We evaluate not only the quality of the detected false friends but also the impact of this methodology on text simplification compared with a standard frequency-based approach.
Classifying Italian newspaper text: news or editorial?
Authors: Totis Pietro , Stede Manfred
Published: April 2019

We present a text classifier that can distinguish Italian news stories from editorials. Inspired by earlier work on English, we built a suitable train/test corpus and implemented a range of features, which can predict the distinction with an accuracy of 89,12%. As demonstrated by the earlier work, such a feature-based approach outperforms simple bag-of-words models when being transferred to new domains. We argue that the technique can also be used to distinguish opinionated from non-opinionated text outside of the realm of newspapers.
De l’Apennin aux Maremmes : le processus de réglementation de la mobilité transfrontalière à l’époque napoléonienne
Authors: Saggiorato Francesco
Published: April 2019

Cet article a pour objectif d’analyser le processus de réglementation de la mobilité transfrontalière des populations de l’Apennin septentrional vers les plaines de la Maremme à l’époque napoléonienne. La perspective méthodologique adoptée pour étudier les pratiques et les techniques de contrôle des flux migratoires saisonniers tient compte des travaux historiographiques les plus récents sur les procédures d’identification personnelle. En outre, il a été possible de souligner le rôle central joué à cette époque par le consulat du Royaume d'Italie à Livourne. En effet, le consul avait la double fonction de surveiller et, en même temps, de protéger les migrants saisonniers italiens au travail dans les départements toscans annexés à l’Empire.
Methods for overcoming dormancy and seed storage of Enterolobium contortisiliquum
Authors: Ferraz Denes , Ramalho Werther Pereira , Vale Luís Sérgio Rodrigues
Published: April 2019

The production of forest species that present seedlings with exogenous dormancy is limited by low germination rates, which can be overcome by rupturing or weakening the tegument. This study aimed to evaluate the efficiency of low-cost methods of overcoming dormancy and determine the effect of storage on the seeds of Enterolobium contortisiliquum. Four storage periods were used, freshly collected seeds (0), stored for 6, 12 and 18 months, and four methods were applied, mechanical scarification and immersion in water (EI), mechanical scarification (ES), immersion in water (IM) and control (TE). We obtained the percentage values of seedling emergence (EP) and the mean emergence time (TME). Conductivity and moisture were obtained as indicators of the physical and physiological quality of seeds, respectively. Variations in moisture content and electrical conductivity during storage did not have effect on the percentage of germination. EI treatment was more efficient for overcoming dormancy than the ES was, regardless of storage time. IM and TE treatments did not lead to germination. EI was the most efficient treatment for decreasing the TME. The results indicate that alternative and low-cost methods are efficient at overcoming exogenous dormancy and thus can be used to optimize the process of seedling production.
Quantitative impacts of different planting arrangements on the populations of natural enemies in soybean
Authors: Carvalho Marina Mouzinho , Carvalho Leidiane Coelho , Bueno Regiane Cristina Oliveira de Freitas
Published: April 2019

Natural biological control is an important alternative for the control of insect pests using natural enemies that occur naturally in agroecosystems. The potential of these insects can increase when they are adequately managed. Thus, the objective of this study was to quantify the populations of natural enemies in soybean cultivars with different growth habits planted in different arrangements. The experiment consisted of eight treatments: four planting arrangements and two soybean cultivars, with four replicates. The populations of natural enemies were evaluated from the vegetative stage V3 to crop harvest using a shaking-cloth. A population survey of the beneficial arthropods present on the soil surface was performed in the reproductive stages R2 and R3 with the installation of modified pitfall traps. The main natural enemies that occurred in the culture were Class Arachnida, Order Heteroptera, Order Hymenoptera, Order Coleoptera and Order Dermaptera. The populations of the natural enemies assessed using the shaking-cloth did not show significant differences. However, in the evaluations with the modified pitfall traps in the reproductive stage R3 in the crossed arrangement, the populations of the Coleoptera and Dermaptera orders were higher in the determinate cultivar than in the indeterminate cultivar.
Growth and photosynthetic parameters of saccharine sorghum plants subjected to salinity
Authors: Silva Maria Liliane Dos Santos , Sousa Humberto Gildo de , Silva Maria Lílian Dos Santos , Lacerda Claudivan Feitosa de , Gomes-Filho Enéas
Published: April 2019

Plants are often exposed to abiotic stresses such as salinity, which represents a barrier to the cultivation of agricultural species mainly in arid and semi-arid regions. This study evaluated the development of four saccharine sorghum genotypes for tolerance to different salinity levels under greenhouse conditions. The experimental design was a randomized complete block arranged in a 5 × 4 factorial scheme, which corresponded to five levels of irrigation water salinity [electrical conductivities of 0.5 (control), 2.5, 5.0, 7.5, and 10.0 dS m-1] and four saccharine sorghum genotypes (CSF 11, CSF 15, P 76 and P 298), with five replicates. The plants were evaluated for dry mass production, leaf area, height, stalk diameter, leaf gas exchange and relative chlorophyll content. The growth and leaf gas exchange measurements of the saccharine sorghum plants were significantly affected by salinity stress. Among the genotypes, CSF 11 and CSF 15 exhibited smaller reductions in growth, whereas P 298 showed the greatest reduction. These findings show that genotype CSF 11 can be classified as the most tolerant to salt stress, and genotype P 298 is the most sensitive.
Canonical correlations among grapevine agronomic and processing characteristics
Authors: Cargnin Adeliano
Published: April 2019

Canonical correlation analysis allows conclusions to be drawn about the occurrence and magnitude of associations between two groups of characteristics. This study estimated the magnitude of association and interdependence between two trait groups of clones of two varieties of Vitis vinifera grapes. The study was based on the mean data of eight characteristics from two experiments to test the performance of these clones: the first experiment provided data from seven clones of Cabernet Sauvignon, which evaluated in the northern San Joaquin Valley, California, United States, and the second data set was from six clones of the Chardonnay variety, which were evaluated in the Napa Valley, California, United States. The canonical correlations among the two varieties were significant, indicating that the two groups of characteristics were related or not independent. The quality and quantity of the raw material required for fine-wine production were inversely proportional and specific to each variety. For Cabernet Sauvignon, the high number of berries per bunch and high number of bunches per plant resulted in fruits with a high °Brix level and increased pH. For Chardonnay, the increase in the bunch weight and number of berries decreased the fruit pH.
Heavy metal concentrations and ecological risk assessment of the suspended sediments of a multi-contaminated Brazilian watershed
Authors: Silva Yuri Jacques Agra Bezerra da , Cantalice José Ramon Barros , Singh Vijay Pal , Nascimento Clístenes Williams Araújo do , Wilcox Bradford Paul , Silva Ygor Jacques Agra Bezerra da
Published: April 2019

Metal concentrations in suspended sediments of one of the most polluted rivers in Brazil were measured. Concentrations of Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn were determined by inductively coupled plasma while Hg and As were analyzed with hydride generation flow injection atomic absorption spectroscopy. Contamination of As, Cd, Cr, Cu, Fe, Hg, Mn, Ni, Pb, and Zn was assessed using pollution indices, ecological risk assessment, statistical multivariate techniques and comparison with sediment quality guidelines. Suspended sediments of the upstream portion of the Ipojuca River are moderately contaminated, especially with Mn and As. On the other hand, sediments of the downstream section are highly contaminated, mainly with Zn, Pb, and As. Furthermore, the mean Ei (potential ecological risk) values of Pb and As showed considerable ecological risk in the downstream cross section. The comparison of our data with sediment guideline values indicated that the concentrations of Mn and Pb in the upstream section of the Ipojuca River pose a risk to sediment-dwelling organisms, while Pb and Zn are the metals of concern in the downstream section.
Concentrations of major and trace elements in the soils, edible parts of crops and urine of farmers in agroecological communities
Authors: Silva João Paulo Siqueira da , Nascimento Clístenes Williams Araújo do , Nascimento Alexsandra Xavier do , Silva Yuri Jacques Bezerra da , Biondi Caroline Miranda
Published: April 2019

The relationship between soil and health is important for populations that depend on the local environment to meet their nutritional needs. This study aimed to evaluate the concentrations of major and trace elements in the soils, edible parts of crops and urine of farmers in agroecological communities. We collected samples of soil, edible parts of crops and urine of farmers and family members in 23 crop fields in agroecological communities from northeast Brazil. These samples were analyzed to concentrations of Al, As, Ca, Cr, Cu, Fe, Hg, Mg, Zn, and Pb in urine and discriminant analysis and principal component analysis were used to assess the data. Concentrations of potentially toxic elements in soils and crops of agroecosystems were below regulatory levels. Farmers living in agroecological communities present most of the essential and toxic elements in urine within the reference ranges. In general, results showed that urinary concentration of toxic elements among farmers and their families were below allowable limits, which may be due to the agroecological practices.
GenomicLand: Software for genome-wide association studies and genomic prediction
Authors: Azevedo Camila Ferreira , Nascimento Moysés , Fontes Vitor Cunha , Silva Fabyano Fonseca e , Resende Marcos Deon Vilela de , Cruz Cosme Damião
Published: April 2019

GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures.
A sociologia educacional católica no sul do Brasil (1940-1970): um estudo a partir do corpo docente
Authors: Cigales Marcelo , Arriada Eduardo
Published: April 2019

Este estudo tem por objetivo analisar o corpo docente responsável por ministrar a disciplina de sociologia educacional e geral no curso normal de um colégio católico no sul do Brasil, entre os anos de 1940 e 1970. Baseado teoricamente em autores da História das Disciplinas Escolares, as fontes remetem ao arquivo escolar da instituição pesquisada. Os resultados apontam a vinculação do corpo docente com as premissas da Igreja e, consequentemente, de uma sociologia católica.
The Use of Polypropylene and High-Density Polyethylene on Cork Plastic Composites for Large Scale 3D Printing
Authors: Brites Fernando , Malça Cândida , Gaspar Florindo , Horta João F. , Franco Margarida C. , Biscaia Sara , Mateus Artur
Published: April 2019

This work focuses on studying the possibility of 3D printing of composite materials composed by cork and a polymer matrix (CPC). Initially the cork was mixed with two types of polymers (HDPE and PP) in different proportions and later processed using extrusion and injection. The composites were tested to study the physical, chemical and mechanical properties. The material was then tested on a large-scale 3D printer to study its feasibility and the ability to produce new products through 3D printing. Attention was focused on the use of pure cork, varying the concentration of cork and coupling agent in thermoplastic matrix composites of PP and HDPE. It was demonstrated that the increase of 5wt.% of coupling agent in the two types of polymers significantly improved the mechanical properties and adhesion between the phases but the increase in cork concentration decreased mechanical properties and crystallinity. The CPCs with PP showed to have better mechanical properties, better aesthetic and internal structural quality, and easier processability than those with HDPE matrix. Nevertheless, the HDPE CPCs showed a high degree of crystallization. Concerning 3D printing, with the filament obtained was demonstrated the possibility of making new products based on natural cork fibers, showing promising results, although additional research is still needed to optimize the process.
A Novel Biomanufacturing System to Produce Multi-Material Scaffolds for Tissue Engineering: Concept and Preliminary Results
Authors: Viana Tânia , Biscaia Sara , Dabrowska Emilia , Franco Margarida C. , Carreira Pedro , Morouço Pedro , Alves Nuno
Published: April 2019

To produce multi-material scaffolds for Tissue Engineering accurate techniques are needed in order to obtain three-dimensional constructs with clinically appropriate size and structural integrity. This paper presents a novel biomanufacturing system that can fabricate 3D scaffolds with precise shape and porosity which is achieved through the control of all fabrication modules by an integrated computational platform. The incorporation of a clean flow unit and a camera allows to obtain scaffolds in a clean environment and provides a monitoring tool to analyse constructs during the production, respectively. In this research work is demonstrated that the new system enables the fabrication of multi-material 3D structures using poly (e-caprolactone) and sodium alginate for potential use in Tissue Engineering applications.
Characterization of Biocompatible Poly(Ethylene Glycol)-Dimethacrylate Hydrogels for Tissue Engineering
Authors: Lopes João , Fonseca Rita , Viana Tânia , Fernandes Cristiana , Morouço Pedro , Moura Carla , Biscaia Sara
Published: April 2019

Tissue Engineering depends on broadly techniques to regenerate tissues and/or organ functions. To do so, tailored polymeric and/or hydrogel scaffolds may be used to ensure the appropriate regeneration. Hydrogels are suitable materials for constructing cell-laden matrices as they can be produced with incorporation of cells and rapidly cross-linkedin situthrough photopolymerisation reactions. Measurement of the polymerization degree, as well as resistance to compression and water retention are fundamental tests to evaluate the characteristics of hydrogels. In this work, free-radical polymerisation of poly (ethylene glycol)-dimethacrylate (PEGDMA) in UV light was assessed. Several hydrogels with different photoinitiator and water contents were produced to evaluate their influence on hydrogels behaviour. Experiments showed that variations on water and photoinitiator content induce changes in the physical and chemical behaviour of hydrogels. As it was found, water content prevents polymerisation to occur and reduces the mechanical properties of hydrogels weakening them. Furthermore, differences were found in varying water content from 15 to 30%, since this increase turned hydrogels more fragile and increase their stabilization time for water retention.
The Tip Vortex System of a Four-Bladed Rotor in Dynamic Stall Conditions
Authors: Wolf C. Christian , Braukmann Johannes N. , Stauber Wolfgang , Schwermer Till , Raffel Markus
Published: April 2019

The tip vortex system downstream of a four-bladed instrumented rotor was investigated experimentally through the application of stereoscopic particle image velocimetry (PIV). A dynamic stall test case was facilitated by a high cyclic pitch setting of the swashplate, with additional
attached-flow and constant-pitch test cases for comparison reasons. The phase-locked PIV system and a rotation of the swashplate assembly allowed for an acquisition of the tip vortex system over the entire dynamic stall cycle and vortex ages up to at least 235°. The vortex structure and
its relation to the blade shear layers were studied by means of both phase-averaged flow fields and the identification of vortex properties such as circulation and swirl velocity distributions. When approaching dynamic stall, a breakdown of the vortex structure started at high vortex ages,
accompanied by the entrainment of turbulent structures from the passing blade shear layers into the tip vortices. After the flow over the blade is fully separated and during large parts of the downstroke, the wake of the rotor tips appears as a highly turbulent area with no individual tip
vortices traceable, before reestablishing an ordered tip vortex structure shortly before the minimum blade pitch angle.
The efficacy of skin care products containing glutathione in delivering skin lightening in Indonesian women
Authors: Etnawati Kristiana , Adiwinarni Dwi Retno , Susetiati Devi Artami , Sauchi Yusuke , Ito Hitomi
Published: April 2019

Glutathione is a potent antioxidant, which is widely used in skin care products for skin lightening especially in the Asian market. Presently, there was only one study of topical 2% oxidized glutathione (GSSG) in Philipino women, further study is needed to evaluate the efficacy and safety of cosmetic products containing glutathione. A double blind randomized clinical trial study was conducted in Yogyakarta, Indonesia, in 74 healthy Indonesian women, with average age 33.3 ± 5.9 years when subjects participated in the study. Each subject received supervised applications of Facial Wash twice a day, Day Cream with sunscreen and Night Cream. The subjects were divided into 3 groups based on the active ingredients of the tested products, which included glutathione reduced (GSH) 0.1%, GSH 0.5%, and without GSH. The effects of the tested products in lightening skin color and pigmentation were measured colorimetry with Chromameter Minolta for L*. Compared to a baseline, there were significant increases of L* (lightness) or ΔL* detected as early as week 2 in which group of GSH 0.1% were significantly higher compared to group of GSH 0.5% and group without GSH. Hyperpigmented lesions also improved, where GSH 0.5% group showed its superiority compared to others groups in week 8. The undesired effect were few minutes mild tingling sensation after night cream, and worsening of acne in all tested products. Conclusion skin care products containing GSH 0.1% and 0.5% were effective in facial skin lightening.
Detection of ureaplasma urealyticum by polymerase chain reaction examination in nonspecific genital infection patients
Authors: Rahmadewi R. , PH Dian
Published: April 2019

Non specific genital infection (NSGI) is a condition affecting females which causes inflammation of the endocervix or anterior urethra that is not caused by Neisseria gonorrhoeae. The causative sexually transmitted organisms include Chlamydia trachomatis (Groups D to K) and Ureaplasma urealyticum. Infection caused by Ureaplasma urealyticum is often asymptomatic even though many studies have pronounced that Ureaplasma urealyticum can contribute not only to lower genitourinary infection but also to infertility. Ureaplasma urealyticum cannot be stained by Gram stain due to the lack of a cell wall of the organism. This research aims to evaluate the prevalence of Ureaplasma urealyticum in NSGI patients by using the polymerase chain reaction (PCR) method targeted in the ureaplasma gene structure 429 bp area. The samples were extracted from eighteen DNA NSGI patients. Eleven out of eighteen (61.11%) DNA NSGI samples tested positive for Ureaplasma urealyticum. Most patients (44.44%) with Ureaplasma urealyticum were unemployed, and 27.78% were complaining of recurrent vaginal discharge. The high incidence of Ureaplasma urealyticum in this study needs further attention since doxycycline remains the drug of choice of NSGI. Moxifloxacin should be considered for patients who are making no clinical progress with doxycycline.
Genotyping of Human Papilloma Virus (HPV) in female condyloma acuminata patient in Dr. Soetomo Hospital, Surabaya
Authors: Arista Afria , Murtiastutik Dwi , Setyaningrum Trisniartami , Mastutik Gondo
Published: April 2019

Human Papilloma Virus (HPV) cause the most common sexually transmitted infection in women. HPV may lead to clinical manifestation as condyloma acuminata. The type of HPV are divided into two categories: low risk and high risk. Objective: To determine the type of HPV in female condyloma acuminata patient. Material and methods: A cross sectional study was conducted in Dermatology Venereology Outpatient Clinic Dr. Soetomo Hospital Surabaya from February, 2007 to May, 2007. A total of 13 female patients with condyloma acuminata were includ in this study. Nucleic acids amplification assays (Polymerase Chain Reaction) used to detect the HPV infection. Results: Condyloma acuminata mostly caused by HPV-11 (30,76%) and HPV-6 (23,07%). Only 1 patient in this study caused by HPV 18. 38% of condyloma acuminata in this study caused by multiple infection of HPV. Conclusion: Molecular assay are gold standard to identification of HPV in the condyloma acuminata patient.
Dermoscopic evaluation of tinea capitis: A case report
Authors: Fernandes Ade , Widia Yuri , Anggraeni Sylvia , Astari Linda , Ervianti Evy , Suyoso Sunarso
Published: April 2019

Tinea capitis is the most common fungal infection in children. Recently, the dermoscopic examination of the hair and scalp or trichoscopy has surfaced on and proven to be a very effective, proficient, and efficient useful tool in diagnosing and screening of some hair disorders. Case: A 12-year-old boy presented with circular lesions with sharp margins on the scalp, with breaking hairs forming patches of partial alopecia. Scrapings of the scalp, containing broken hairs, were collected and submitted for direct examination by using KOH preparation revealed chains of arthroconidia covering the hair shaft. Dermoscopic examination was performed and revealed the presence of fine scale, broken hairs and comma hair. Discussion: Our patient reavealed a good clinical improvement evaluated by microscopic examination and dermoscopic evaluation. After effective antifungal therapy for 8 weeks duration, the hair fully regrows. Conclusion: Scalp dermoscopy or “trichoscopy” represents a valuable, noninvasive technique for the evaluation of patients with hair loss due to tenia capitis.
Crusted scabies in patients with long-term use of oral corticosteroid with different underlying diseases – case series
Authors: Maharani Cut Shelma , Harnanti Densy Violina , Mappamasing Hasnikmah , Widyantari Septiana , Sawitri S. , Ervianty Evy , Murtiastutik Dwi , Martodihardjo Sunarko , Listiawan M. Yulianto
Published: April 2019

People with a weakened immune system may develop the severe form of scabies called crusted scabies. We have two cases of female patients with history of using long-term oral corticosteroid and then developing scabies infection. The first patient had other comorbidities which caused her become more susceptible while the second patient had been diagnosed with bullous pemphigoid. Both patients complained thick crust on some parts of their bodies, accompanied with itchy papules. Based on microscopic examination from lesion scraping, we found the adult form of sarcoptes scabiei and crusted scabies diagnosis was established. The lesions were improving when they got combination of topical sulfur precipitate, salicylic acid, and permethrine 5%. Crusted scabies is characterized by hyperkeratosis and crusting of the skin due to the profuse proliferation of mites resulting from an altered host response. Combination of topical antiscabies and keratolytic can make the crusts thinner and improve topical absorption.
Conformal blocks, $q$-combinatorics, and quantum group symmetry
Authors: Karrila Alex , Kytölä Kalle , Peltola Eveliina
Published: April 2019

In this article, we find a

q

-analogue for Fomin’s formulas. The original Fomin’s formulas relate determinants of random walk excursion kernels to loop-erased random walk partition functions, and our formulas analogously relate conformal block functions of conformal field theories to pure partition functions of multiple SLE random curves. We also provide a construction of the conformal block functions by a method based on a quantum group, the

q

-deformation of

\mathfrak {sl}_2

. The construction both highlights the representation theoretic origin of conformal block functions and explains the appearance of

q

-combinatorial formulas.
Rezensionen
Authors: Jakob Martin , Schultze Stephan , Haldimann Andreas
Published: April 2019

Rezension zu:
D. Madan and W. Schoutens:
Applied conic functions
. 187 pages, £ 64.99. Cambridge University Press 2016, ISBN 978-1-107-15169-7 (hardback),
von Martin Jakob und Stephan Schultze;
und zu:
Dirk W. Hoffmann:
Die Gödel’schen Unvollständigkeitssätze
. 356 Seiten, 26.99 EUR (Softcover). Springer, 2017; ISBN 978-3-662-54299-6,
von Andreas Haldimann.
Some Remarks on Multiplier Spaces I: Classical Spaces
Authors: Bugajewska Daria , Reinwand Simon
Published: April 2019

The aim of this note is to characterize the multiplier class

X/Y

of functions

g

such that

fg

belongs to

X

whenever

f

belongs to

Y

for certain given classes

X

and

Y

of real valued functions on [0, 1]. This paper is the first of two connected parts and deals with classical spaces

X

and

Y

of continuous, bounded and Darboux functions, as well as functions of bounded variation in the sense of Jordan and functions which have a primitive. Moreover, we give a new and elementary proof for the fact that

D/D

contains only constant functions.
On Stability of Delay Equations with Positive and Negative Coefficients with Applications
Authors: Berezansky Leonid , Braverman Elena
Published: April 2019

We obtain new explicit exponential stability conditions for linear scalar equations with positive and negative delayed terms

\dot{x}(t)+ \sum_{k=1}^m a_k(t)x(h_k(t))- \sum_{k=1}^l b_k(t)x(g_k(t))=0

and its modifications, and apply them to investigate local stability of Mackey–Glass type models

\dot{x}(t)=r(t)\left[\beta\frac{x(g(t))}{1+x^n(g(t))}-\gamma x(h(t))\right]

and

\dot{x}(t)=r(t)\left[\beta\frac{x(g(t))}{1+x^n(h(t))}-\gamma x(t)\right],
Partial Regularity of Solutions of Nonlinear Superelliptic Systems with Subquadratic Growth
Authors: Hamburger Christoph
Published: April 2019

We prove global partial regularity of weak solutions

u

of the Dirichlet problem for the nonlinear superelliptic system div

A(x,u,Du) + B(x,u,Du) = 0

, under natural subquadratic polynomial growth of the coefficient functions

A

and

B

. We employ the indirect method of the bilinear form and do not use a Caccioppoli or a reverse Hölder inequality.
Existence Results for the Klein–Gordon–Maxwell System in Rotationally Symmetric Bounded Domains
Authors: Wu Yuhu , Ge Bin , Miyagaki Olímpio H.
Published: April 2019

This paper deals with the Klein–Gordon–Maxwell system in rotationally symmetric bounded domains. We prove the existence of ground state solutions and multiplicity of solutions for Klein–Gordon–Maxwell system by using global variational methods.