bluuebunny/crossref_metadata_2025 huggingface dataset:
SACREDNESS IN SPEECH-MAKING OF MAKSYM RYLSKYI
Authors: KOTS Tetiana
Published: May 2021

The article is devoted to the analysis of linguistic means of sacrality as a style category, covering the solemnly elevated, traditionally established register of expressive linguistic means that hold the dominant values of the figurative book syntagms of religious style. Particular attention is paid to the unveiling of the stylistic potential of biblical words and expressions in the early speech-making of Maksym Rylskyi. The linguistic mechanisms of sacrality as a means of creating linguistic color, solemn, sublime, aesthetic perfection, positively-valued sounding of a poetic word are revealed. Performing stylistic, compositional, pragmatic functions in the artistic text, the sacral units are expressions of the individual-authorial reception of the values.
Traditional artistic means of expressing sacrality in Maksym Rylskyi’s language are biblical words and phraseologisms, which are included in the registers not only of dictionaries of biblical words and expressions, but also of common phraseological and interpretative dictionaries dominant in the figurative book syntagms of the religious style and at the same time the expression of the gravity of the spiritual memory of the nation. In poetic contexts biblical words and expressions often acquire a metaphorical, lyrical sound, attesting to the sacral desemantization of lexemes, but instead actualizing implicit linguistic semantics.
Políticas públicas para educação superior e criação de novas IFES: revisão sistemática
Authors: Carvalho Francisco João de Deus de , Santos Júnior Alcides Leão
Published: May 2021

O objetivo deste trabalho é apresentar evidências científicas disponíveis na literatura sobre a relação entre as políticas públicas para a educação superior, do início do século XXI, e a implantação de novas instituições federais de ensino superior (Ifes)/campi no Brasil. Para isso, foram buscados artigos nas bases de dados Scielo.br, Portal de Periódicos Capes e Web of Science, publicados entre 2003 e 2016, sendo quatro estudos incluídos nesta revisão sistemática. Aponta-se que a criação de uma estrutura universitária é resultado do aumento de egressos do ensino médio e das exigências do mercado de trabalho, mas, sobretudo, é uma decisão política que envolve um coletivo. Além disso, para os locais antes desassistidos de educação superior, as Ifes trazem inúmeros benefícios para os sujeitos, o local e a região.
Análise da estratégia de redução do consumo de tabaco por meio da elevação dos preços no Brasil sob a ótica da teoria econômica: estimativa e implicações
Authors: Nicola Matheus Lazzari , Margarido Mario Antonio , Shikida Pery Francisco Assis
Published: May 2021

Este artigo coloca em discussão uma estratégia alternativa para a política de controle do consumo de tabaco no Brasil, visto que o consumo de tabaco, há algum tempo, não gera exclusivamente problemas de saúde. O objetivo deste texto foi aprofundar o debate sobre a receita tributária gerada a partir da produção de produtos derivados do tabaco para compensar suas externalidades negativas, estimando a curva de Laffer para esse mercado. Os resultados encontrados sugerem que a alíquota ótima para o imposto sobre produtos industrializados (IPI) é de 32,45%; no entanto, observou-se que a alíquota real do IPI, entre 2012 e 2015, ficou sempre próxima à alíquota ótima estimada. Desse modo, o foco seguinte recaiu sobre a exigência de preço mínimo no varejo para os cigarros no país, simulando o comportamento do mercado em função da eliminação dessa estratégia. Com essa simulação estática-comparativa, verificou-se que o faturamento da indústria de cigarros nacional aumentaria 45,14% e o total de IPI arrecadado aumentaria 44,86%. Além disso, no cenário ideal, o ônus do IPI deveria ser redistribuído para que a alíquota real do IPI permaneça próxima à alíquota ótima estimada, viabilizando um produto para indústria nacional capaz de competir com o produto ilegal. Concluiu-se que a eliminação da estratégia de preços mínimos afetaria drasticamente a rentabilidade da indústria ilegal de cigarros, transferiria recursos para o Estado ampliar sua capacidade de amenizar as externalidades negativas geradas pelo consumo de tabaco, bem como transferiria recursos para indústria nacional legal de tabaco, que respeita as normas ambientais, sanitárias e trabalhistas no país.
Impactos do Fundo Constitucional de Financiamento do Norte: evidências do estimador de diferenças em diferenças
Authors: Daniel Lindomar Pegorini , Braga Marcelo José
Published: May 2021

Esse estudo analisa o impacto econômico promovido pelo acesso ao crédito concedido às empresas da região Norte no período 2000-2010 por meio do Fundo Constitucional de Financiamento do Norte (FNO). Para avaliar a presença de impactos sobre emprego, massa salarial e salário médio utiliza-se o procedimento de diferenças em diferenças, que apresenta controle para heterogeneidade não observável e a possibilidade de testar a causalidade entre o tratamento e o impacto promovido. Os resultados variam de acordo com o setor de atividade e com o porte das empresas, mas, em média, ter acesso ao crédito subsidiado eleva em cerca de 20% e 13% a geração de emprego e a massa salarial no curto prazo para empresas que financiam capital de giro e custeio e para as que financiam investimento, respectivamente. No longo prazo, o impacto gira em torno de 28% e 15%. Já para o salário médio não foram identificados impactos significativos.
Federalismo e policy arenas: uma análise a partir da atuação dos consórcios no Brasil
Authors: Lui Lizandro , Schabbach Letícia Maria
Published: May 2021

Este artigo investiga o estabelecimento de convênios entre os consórcios públicos intermunicipais e a União à luz dos debates sobre cooperação interfederativa e policy arenas. Para isso, analisou-se o conteúdo dos convênios celebrados entre os consórcios e a União nas áreas de meio ambiente, resíduos sólidos, saneamento básico, desenvolvimento rural e agricultura, disponíveis no Portal da Transparência da União, no período de 1996 a 2016. Procurou-se identificar as principais áreas de atuação dos consórcios, o tipo de atividades que realizam, e dar ênfase para as estruturas de regulação existentes em cada área de políticas públicas. Identificou-se que os consórcios se apresentam como importantes instâncias de articulação entre os entes federados e que essas organizações buscam se inserir nas policy arenas de distintas políticas públicas. Por fim, argumenta-se que a atuação dos consórcios tem como objetivo atenuar os efeitos negativos que o federalismo brasileiro provoca nos municípios.
Liberalização do movimento de capitais e os desafios jurídicos e monetários para o Brasil integrar a Organização para a Cooperação e Desenvolvimento Econômico (OCDE)
Authors: Duran Camila Villard
Published: May 2021

A adesão do Brasil ao Código de Liberalização do Movimento de Capitais da Organização para a Cooperação e Desenvolvimento Econômico (OCDE) pode significar um incremento em sua capacidade de atrair investimentos externos – ao menos, esse é o discurso oficial. No entanto, a adesão ao código, que é a porta de entrada da OCDE, pode reduzir seu poder em balizar estruturas jurídicas para a gestão do movimento de capitais, notadamente em momentos de crise. Para um país na periferia da hierarquia monetária internacional, há desafios institucionais a serem considerados. O objetivo deste artigo é discutir a natureza jurídica e a extensão das regras do referido código, em contraste com a “visão institucional” (VI) sobre fluxos de capital do Fundo Monetário Internacional (FMI), do qual o Brasil é membro desde 1946. Este trabalho também propõe abordagens institucionais para a atuação diplomática nacional, que tem o potencial de contribuir com a construção das decisões da OCDE relativas ao código, de forma a atender aos interesses de países de economia emergente como o Brasil.
ADAPTATION OF INSURANCE DISTRIBUTION TO THE NEW CHALLENGES
Authors: PRYKAZIUK Nataliia , MOTASHKO Tetiana , LOBOVA Oksana
Published: May 2021

Purpose – new challenges, including those induced by the Covid-19 pandemic and digital power, are exac-erbating instability for each entity and increasing the role of insurance, while necessitating the reformatting of existing approaches to insurance distribution. The purpose of the article is to develop a model of adaptation of the insurance distribution system to new challenges by elucidating the distribution channels transformation during the last decade in European countries, establishing causal links, identifying factors that determine current trends in insurance distribution. Research methodology – the economic and statistical methods of collecting and processing the information, methods of structural and dynamic analysis, analysis and synthesis, empirical methods are usedto achieve the stated goal of the article. Findings – a model for adapting the insurance distribution to new challenges, including the Covid-19 pandemic and digital power, which is based on the current trends and transformation processes of insurance distribution in European countries, the features of the insurance distribution system, aimed at innovation and the establishment of insurance ecosystemsis developed. Research limitations – limitations of the study are represented by the gaps in available statistical information for indi-vidual countries. Practical implications – the results of the study, including the proposed model, can help insurance companies achieving the sustainable development goals, taking into account new challenges. Originality/Value – this study delivers its contribution by demonstrating the trends, drivers and ways to adapt the in-surance distribution in the new realities.
THE ROLE OF KNOWLEDGE ACQUISITION IN ENHANCING KNOWLEDGE MANAGEMENT PROCESSES IN HIGHER EDUCATION INSTITUTIONS
Authors: MATAR Ibrahim , RAUDELIŪNIENĖ Jurgita
Published: May 2021

Purpose – this article investigates the impact of knowledge acquisition on the leading knowledge management processes such as knowledge storage, application, and creation in higher education institutions.

Research methodology – scientific literature review and hypotheses were used to develop the research model. The re-search data was collected from 202 academics from Lebanese higher education institutions. The structural questionnaire and structural equation modeling techniques were employed to test the research hypotheses.

Findings – the findings confirmed the knowledge acquisition process’s leading role with the highest impact on knowl-edge creation and provided valuable insights for scientists in the knowledge acquisition field.

Research limitations – this study’s results are primarily applicable in Lebanon and can’t be generalized to other coun-tries. Therefore, a further researcher should encompass diverse countries to generalize the findings on a global level.

Practical implications – the results emphasize more attention for higher education institutions’ administration to focus on higher education institutions’ knowledge management cycle, particularly on the knowledge acquisition process.

Originality/Value – in this study, the significant influence of knowledge acquisition on other knowledge management processes in the Lebanese higher education institutions has been revealed, as no prior research in Lebanon is found.
Temperature and Distance Dependence of Tidal Circularization in Close Binaries: A Catalog of Eclipsing Binaries in the Southern Hemisphere Observed by the TESS Satellite
Authors: Justesen Anders B. , Albrecht Simon
Published: May 2021

Tidal forces are important for understanding how close binary stars and compact exoplanetary systems form and evolve. However, tides are difficult to model, and significant uncertainties exist about the strength of tides. Here, we investigate tidal circularization in close binaries using a large sample of well-characterized eclipsing systems. We searched TESS photometry from the southern hemisphere for eclipsing binaries. We derive best-fit orbital and stellar parameters by jointly modeling light curves and spectral energy distributions. To determine the eccentricity distribution of eclipsing binaries over a wide range of stellar temperatures (3000–50,000 K) and orbital separations a/R
1 (2–300), we combine our newly obtained TESS sample with eclipsing binaries observed from the ground and by the Kepler mission. We find a clear dependency of stellar temperature and orbital separation in the eccentricities of close binaries. We compare our observations with predictions of the equilibrium and dynamical tides. We find that while cool binaries agree with the predictions of the equilibrium tide, a large fraction of binaries with temperatures between 6250 K and 10,000 K and orbital separations between a/R
1 ∼ 4 and 10 are found on circular orbits, contrary to the predictions of the dynamical tide. This suggests that some binaries with radiative envelopes may be tidally circularized significantly more efficiently than usually assumed. Our findings on orbital circularization have important implications also in the context of hot Jupiters, where tides have been invoked to explain the observed difference in the spin–orbit alignment between hot and cool host stars.
Procedural fairness of objective and subjective performance evaluations: Exploring the combined effects of uncertainty and trust
Authors: Langevin Pascal , Mendoza Carla
Published: May 2021

Les recherches empiriques sur les coûts et avantages des évaluations de performance subjectives comparées à objectives ont produit des résultats qui restent mitigés. Pour éclairer ce débat, nous examinons les effets de ces deux types d’évaluation sur la perception de justice procédurale des managers dans différents contextes combinant incertitude et confiance. L’objectif est, d’une part, d’identifier si un type d’évaluation de performance est perçue comme plus juste que l’autre dans certains contextes et, d’autre part, d’explorer comment ces perceptions de justice se forment. Pour traiter ces deux questions, nous analysons les données quantitatives et qualitatives recueillis auprès de 418 managers à l’aide d’un questionnaire basé sur des scénarios. Nos résultats montrent que les évaluations subjectives sont perçues comme plus justes que les évaluations objectives par les managers confrontés à des situations de forte incertitude et qui ont confiance dans leur supérieur. A l’inverse, les évaluations objectives sont perçues comme plus justes dans les situations où incertitude et confiance sont tous les deux faibles. Nos résultats montrent également que les managers forment leur jugement de justice en considérant deux dimensions : ils perçoivent que les évaluations subjectives leur offrent la possibilité d’exprimer leur point de vue, alors que les évaluations purement objectives sont vues comme plus précises et moins biaisées. Globalement, ces résultats suggèrent que les organisations peuvent améliorer leurs systèmes d’évaluation des performances, soit en utilisant les mesures appropriées au contexte, soit en agissant sur l’incertitude et/ou la confiance.
Annexes fallace pour fake news
Authors: Bizet Ange
Published: May 2021

Nous publions ici une réflexion d’Ange Bizet, conduite au cours des Commissions terminologiques. Il a bien voulu nous communiquer le développement correspondant à sa réflexion.
Traversées québécoises en littérature féministe : influences états-uniennes et françaises
Authors: Turbiau Aurore
Published: May 2021

Cet article propose d’étudier la manière dont la littérature féministe québécoise s’est constituée, dans les années 1970, en relation avec les productions théoriques et littéraires françaises et américaines. Les Québécoises voyagent aux États-Unis et se nourrissent de ce qu’elles y apprennent ; les essais militants les intéressent, ceux de K. Millett, S. Firestone, B. Friedan ; mais le rapport d’influence avec les États-uniennes est unilatéral, les États-uniennes se souciant assez peu de ce qui se passe au Québec. En revanche, on peut parler de vrais échanges entre féministes françaises et québécoises ; elles partagent essais historiques et féministes, textes psychanalytiques ou littéraires ; elles participent aux mêmes revues et se retrouvent dans des congrès internationaux. Ainsi, au moment des années 1970, on peut parler de « traversées québécoises » : même si la littérature féministe québécoise ne s’est jamais placée en situation de dépendance par rapport aux créations états-uniennes et françaises, elle les a visitées pour en tirer de quoi se construire elle-même, avec ou sans leur participation active.
AMI @ EVALITA2020: Automatic Misogyny Identification
Authors: Fersini Elisabetta , Nozza Debora , Rosso Paolo
Published: May 2021

Automatic Misogyny Identification (AMI) is a shared task proposed at the Evalita 2020 evaluation campaign. The AMI challenge, based on Italian tweets, is organized into two subtasks: (1) Subtask A about misogyny and aggressiveness identification and (2) Subtask B about the fairness of the model. At the end of the evaluation phase, we received a total of 20 runs for Subtask A and 11 runs for Subtask B, submitted by 8 teams. In this paper, we present an overview of the AMI shared task, the datasets, the evaluation methodology, the results obtained by the participants and a discussion about the methodology adopted by the teams. Finally, we draw some conclusions and discuss future work.
No Place For Hate Speech @ AMI: Convolutional Neural Network and Word Embedding for the Identification of Misogyny in Italian
Authors: dos S.R. da Silva Adriano , Roman Norton Trevisan
Published: May 2021

In this article, we describe two classification models (a Convolutional Neural Network and a Logistic Regression classifier), arranged according to three different strategies, submitted to subtask A of Automatic Misogyny Identification at EVALITA 2020. Results were very encouraging for detecting misogyny, even though aggressiveness was less accurate. Our second strategy, consisting of a Convolutional Neural Network and logistic regression to identify misogyny and aggressiveness, respectively, won the sixth place in the competition.
App2Check @ ATE_ABSITA 2020: Aspect Term Extraction and Aspect-based Sentiment Analysis
Authors: Di Rosa Emanuele , Durante Alberto
Published: May 2021

In this paper we describe and present the results of the system we specifically developed and submitted for our participation to the ATE_ABSITA 2020 evaluation campaign on the Aspect Term Extraction (ATE), Aspect-based Sentiment Analysis (ABSA), and Sentiment Analysis (SA) tasks. The official results show that App2Check ranks first in all of the three tasks, reaching a F1 score which is 0.14236 higher than the second best system in the ATE task and 0.11943 higher in the ABSA task; it shows a Root-Mean-Square Error (RMSE) that is 0.13075 lower than the second classified in the SA task.
DH-FBK @ HaSpeeDe2: Italian Hate Speech Detection via Self-Training and Oversampling
Authors: Leonardelli Elisa , Menini Stefano , Tonelli Sara
Published: May 2021

We describe in this paper the system submitted by the DH-FBK team to the HaSpeeDe evaluation task, and dealing with Italian hate speech detection (Task A). While we adopt a standard approach for fine-tuning AlBERTo, the Italian BERT model trained on tweets, we propose to improve the final classification performance by two additional steps, i.e. self-training and oversampling. Indeed, we extend the initial training data with additional silver data, carefully sampled from domain-specific tweets and obtained after first training our system only with the task training data. Then, we re-train the classifier by merging silver and task training data but oversampling the latter, so that the obtained model is more robust to possible inconsistencies in the silver data. With this configuration, we obtain a macro-averaged F1 of 0.753 on tweets, and 0.702 on news headlines.
By1510 @ HaSpeeDe 2: Identification of Hate Speech for Italian Language in Social Media Data
Authors: Deng Tao , Bai Yang , Dai Hongbing
Published: May 2021

Hate speech detection has become a crucial mission in many fields. This paper introduces the system of team By1510. In this work, we participate in the HaSpeeDe 2 (Hate Speech Detection) shared task which is organized within Evalita 2020(The Final Workshop of the 7th evaluation campaign). In order to obtain more abundant semantic information, we combine the original output of BERT-Ita and the hidden state outputs of BERT-Ita. We take part in task A. Our model achieves an F1 score of 77.66% (6/27) in the tweets test set and our model achieves an F1 score of 66.38% (14/27) in the news headlines test set.
UO @ HaSpeeDe2: Ensemble Model for Italian Hate Speech Detection
Authors: Rodriguez Cisnero Mariano Jason , Ortega Bueno Reynier
Published: May 2021

This document describes our participation in the Hate Speech Detection task at Evalita 2020. Our system is based on deep learning techniques, specifically RNNs and attention mechanism, mixed with transformer representations and linguistic features. In the training process a multi task learning was used to increase the system effectiveness. The results show how some of the selected features were not a good combination within the model. Nevertheless, the generalization level achieved yield encourage results.
No Place For Hate Speech @ HaSpeeDe 2: Ensemble to Identify Hate Speech in Italian
Authors: dos S.R. da Silva Adriano , Roman Norton T.
Published: May 2021

In this article, we present the results of applying a Stacking Ensemble method to the problem of hate speech classification proposed in the main task of HaSpeeDe 2 at EVALITA 2020. The model was then compared to a Logistic Regression classifier, along with two other benchmarks defined by the competition’s organising committee (an SVM with a linear kernel and a majority class classifier). Results showed our Ensemble to outperform the benchmarks to various degrees, both when testing in the same domain as training and in a different domain.
Svandiela @ HaSpeeDe: Detecting Hate Speech in Italian Twitter Data with BERT
Authors: Klaus Svea , Bartle Anna-Sophie , Rossmann Daniela
Published: May 2021

This paper explains the system developed for the Hate Speech Detection (HaSpeeDe) shared task within the 7th evaluation campaign EVALITA 2020 (Basile et al. 2020). The task solution proposed in this work is based on a fine-tuned BERT model. In cross-corpus evaluation, our model reached an F1 score of 77,56% on the tweets test set, and 60,31% on the news headlines test set.
CHILab @ HaSpeeDe 2: Enhancing Hate Speech Detection with Part-of-Speech Tagging
Authors: Gambino Giuseppe , Pirrone Roberto
Published: May 2021

The present paper describes two neural network systems used for Hate Speech Detection tasks that make use not only of the pre-processed text but also of its Part-of-Speech (PoS) tag. The first system uses a Transformer Encoder block, a relatively novel neural network architecture that arises as a substitute for recurrent neural networks. The second system uses a Depth-wise Separable Convolutional Neural Network, a new type of CNN that has become known in the field of image processing thanks to its computational efficiency. These systems have been used for the participation to the HaSpeeDe 2 task of the EVALITA 2020 workshop with CHILab as the team name, where our best system, the one that uses Transformer, ranked first in two out of four tasks and ranked third in the other two tasks. The systems have also been tested on English, Spanish and German languages.
Montanti @ HaSpeeDe2 EVALITA 2020: Hate Speech Detection inOnline Contents
Authors: Bisconti Elia , Montagnani Matteo
Published: May 2021

This report describes an approach to face a task regarding the identification of hate content and stereotypes within tweets. Two models will be shown, both presented to the HaSpeeDe competition proposed by EVALITA 2020. They are based on a Logistic Regression model that takes different types of embedding as input. The best system shows interesting results.
SardiStance @ EVALITA2020: Overview of the Task on Stance Detection in Italian Tweets
Authors: Cignarella Alessandra Teresa , Lai Mirko , Bosco Cristina , Patti Viviana , Rosso Paolo
Published: May 2021

SardiStance is the first shared task for Italian on the automatic classification of stance in tweets. It is articulated in two different settings: A) Textual Stance Detection, exploiting only the information provided by the tweet, and B) Contextual Stance Detection, with the addition of information on the tweet itself such as the number of retweets, the number of favours or the date of posting; contextual information about the author, such as follower count, location, user’s biography; and additional knowledge extracted from the user’s network of friends, followers, retweets, quotes and replies. The task has been one of the most participated at EVALITA 2020 (Basile et al. 2020), with a total of 22 submitted runs for Task A, and 13 for Task B, and 12 different participating teams from both academia and industry.
SSN_NLP@SardiStance : Stance Detection from Italian Tweets using RNN and Transformers
Authors: Kayalvizhi S. , Thenmozhi D. , Chandrabose Aravindan
Published: May 2021

Stance detection refers to the detection of one’s opinion about the target from their statements. The aim of sardistance task is to classify the Italian tweets into classes of favor, against or no feeling towards the target. The task has two sub-tasks : in Task A, the classification has to be done by considering only the textual meaning whereas in Task B the tweets must be classified by considering the contextual information along with the textual meaning. We have presented our solution to detect the stance utilizing only the textual meaning (Task A) using encoder-decoder model and transformers. Among these two approaches, simple transformers have performed better than the encoder-decoder model with an average F1-score of 0.4707.
UO_4to@TAG-it 2020: Ensemble of Machine Learning Methods
Authors: Artigas Herold Maria Fernanda , Castro Castro Daniel
Published: May 2021

This paper describes the proposal presented in the TAG-it author profiling task from EVALITA 2020 for sub-task 1. The main objective is to predict gender and age of some blog users by their posts, as well as topic they wrote about. Our proposal uses an ensemble of machine learning algorithms with three of the most used classifiers and language model of the n-grams of characters represented in a Bag of Word. To face this task we presented two different strategies aimed at finding the best possible results.
CONcreTEXT @ EVALITA2020: The Concreteness in Context Task
Authors: Gregori Lorenzo , Montefinese Maria , Radicioni Daniele P. , Ravelli Andrea Amelio , Varvara Rossella
Published: May 2021

Focus of the CONcreTEXT task is conceptual concreteness: systems were solicited to compute a value expressing to what extent target concepts are concrete (i.e., more or less perceptually salient) within a given context of occurrence. To these ends, we have developed a new dataset which was annotated with concreteness ratings and used as gold standard in the evaluation of systems. Four teams participated in this first edition of the task, with a total of 15 runs submitted.Interestingly, these works extend information on conceptual concreteness available in existing (non contextual) norms derived from human judgments with new knowledge from recently developed neural architectures, in much the same multidisciplinary spirit whereby the CONcreTEXT task was organized.
KonKretiKa @ CONcreTEXT: Computing concreteness indexes with sigmoid transformation and adjustment for context
Authors: Badryzlova Yulia
Published: May 2021

The present paper is a technical report of KonKretiKa, a system for computation of concreteness indexes of words in context, submitted to the English track of the CONcreTEXT shared task. We treat concreteness as a bimodal problem and compute the concreteness indexes using paradigms of concrete and abstract seed words and distributional semantic similarity. We also conduct sigmoid transformation to achieve greater similarity to the psycholinguistically attested data, and apply dynamic adjustment of static indexes for sentential context. One of the modifications of the presented system ranked third in the task, with rs = .6634 and r = .6685 against the gold standard.
NLP-CIC @ PRELEARN: Mastering Prerequisites Relations, from Handcrafted Features to Embeddings
Authors: Angel Jason , Aroyehun Segun Taofeek , Gelbukh Alexander
Published: May 2021

We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020. The task aims to classify whether a pair of concepts hold a prerequisite relation or not. We model the problem using handcrafted features and embedding representations for in-domain and cross-domain scenarios. Our submissions ranked first place in both scenarios with average F1 score of 0.887 and 0.690 respectively across domains on the test sets. We made our code freely available1.
DaDoEval @ EVALITA 2020: Same-Genre and Cross-Genre Dating of Historical Documents
Authors: Menini Stefano , Moretti Giovanni , Sprugnoli Rachele , Tonelli Sara
Published: May 2021

In this paper we introduce the DaDoEval shared task at EVALITA 2020, aimed at automatically assigning temporal information to documents written in Italian. The evaluation exercise comprises three levels of temporal granularity, from coarse-grained to year-based, and includes two types of test sets, either having the same genre of the training set, or a different one. More specifically, DaDoEval deals with the corpus of Alcide De Gasperi’s documents, providing both public documents and letters as test sets. Two systems participated in the competition, achieving results always above the baseline in all subtasks. As expected, coarse-grained classification into five periods is rather easy to perform automatically, while the year-based one is still an unsolved problem also due to the lack of enough training data for some years. Results showed also that, although De Gasperi’s letters in our test set were written in standard Italian and in a style which was not too colloquial, cross-genre classification yields remarkably lower results than the same-genre setting.
rmassidda @ DaDoEval: Document Dating Using Sentence Embeddings at EVALITA 2020
Authors: Massidda Riccardo
Published: May 2021

This report describes an approach to solve the DaDoEval document dating subtasks for the EVALITA 2020 competition. The dating problem is tackled as a classification problem, where the significant length of the documents in the provided dataset is addressed by using sentence embeddings in a hierarchical architecture. Three different pre-trained models to generate sentence embeddings have been evaluated and compared: USE, LaBSE and SBERT. Other than sentence embeddings the classifier exploits a bag-of-entities representation of the document, generated using a pre-trained named entity recognizer. The final model is able to simultaneously produce the required date for each subtask.
DIACR-Ita @ EVALITA2020: Overview of the EVALITA2020 Diachronic Lexical Semantics (DIACR-Ita) Task
Authors: Basile Pierpaolo , Caputo Annalina , Caselli Tommaso , Cassotti Pierluigi , Varvara Rossella
Published: May 2021

This paper describes the first edition of the “Diachronic Lexical Semantics” (DIACR-Ita) task at the EVALITA 2020 campaign. The task challenges participants to develop systems that can automatically detect if a given word has changed its meaning over time, given contextual information from corpora. The task, at its first edition, attracted 9 participant teams and collected a total of 36 submission runs.
OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still Rocks Semantic Change Detection
Authors: Kaiser Jens , Schlechtweg Dominik , Schulte im Walde Sabine
Published: May 2021

We present the results of our participation in the DIACR-Ita shared task on lexical semantic change detection for Italian. We exploit one of the earliest and most influential semantic change detection models based on Skip-Gram with Negative Sampling, Orthogonal Procrustes alignment and Cosine Distance and obtain the winning submission of the shared task with near to perfect accuracy (.94). Our results once more indicate that, within the present task setup in lexical semantic change detection, the traditional type-based approaches yield excellent performance.
AcCompl-it @ EVALITA2020: Overview of the Acceptability & Complexity Evaluation Task for Italian
Authors: Brunato Dominique , Chesi Cristiano , Dell’Orletta Felice , Montemagni Simonetta , Venturi Giulia , Zamparelli Roberto
Published: May 2021

The Acceptability and Complexity evaluation task for Italian (AcCompl-it) was aimed at developing and evaluating methods to classify Italian sentences according to Acceptability and Complexity. It consists of two independent tasks asking participants to predict either the acceptability or the complexity rate (or both) of a given set of sentences previously scored by native speakers on a 1-to-7 points Likert scale. In this paper, we introduce the datasets distributed to the participants, we describe the different approaches of the participating systems and provide a first analysis of the obtained results.
KLUMSy@KIPoS: Experiments on Part-of-Speech Tagging of Spoken Italian
Authors: Proisl Thomas , Lapesa Gabriella
Published: May 2021

In this paper, we describe experiments on part-of-speech tagging of spoken Italian that we conducted in the context of the EVALITA 2020 KIPoS shared task (Bosco et al. 2020). Our submission to the shared task is based on SoMeWeTa (Proisl 2018), a tagger which supports domain adaptation and is designed to flexibly incorporate external resources. We document our approach and discuss our results in the shared task along with a statistical analysis of the factors which impact performance the most. Additionally, we report on a set of additional experiments involving the combination of neural language models with unsupervised HMMs, and compare its performance to that of our system.
Investigating the Pixel Quality Influence on Forecasting Vegetation Change Dynamics
Authors: Bounouh Oumayma , Essid Houcine , Farah Imed Riadh
Published: May 2021

To date, analysis of remotely sensed images remains a big challenge. Despite its high quality and free availability, scientists ask more questions about the reliability of the existent works and developed tools. Indeed, the input choice is under investigation in order to minimize the imprecision within the work's methodology and results. In order to construct a good forecasting model, the researcher focuses on the first place on the data collection. Traditionally, this step is usually neglected, or it does not attract a sufficient amount of attention. Therefore, the obtained forecaster may be trained on the false data sets which makes more questions about its reliability. This chapter investigates the influence of the presence of mixed pixel on the forecasting accuracy final results of vegetation dynamics tracking. The authors also use different similarity measures to differentiate between the pure and the mixed time series.
Towards an Embedding-Based Approach for the Geolocation of Texts and Users on Social Networks
Authors: Hasni Sarra
Published: May 2021

The geolocation task of textual data shared on social networks like Twitter attracts a progressive attention. Since those data are supported by advanced geographic information systems for multipurpose spatial analysis, new trends to extend the paradigm of geolocated data become more emergent. Differently from statistical language models that are widely adopted in prior works, the authors propose a new approach that is adopted to the geolocation of both tweets and users through the application of embedding models. The authors boost the geolocation strategy with a sequential modelling using recurrent neural networks to delimit the importance of words in tweets with respect to contextual information. They evaluate the power of this strategy in order to determine locations of unstructured texts that reflect unlimited user's writing styles. Especially, the authors demonstrate that semantic proprieties and word forms can be effective to geolocate texts without specifying local words or topics' descriptions per region.
Suppression by Allogeneic-Specific Regulatory T Cells Is Dependent on the Degree of HLA Compatibility
Authors: Bianchi Joana , Vieira Ana I S , Ligeiro Dário , Azevedo Rita I , Lacerda João F
Published: May 2021

Regulatory T cell (Treg) infusion for graft-versus-host disease treatment has been increasingly investigated. However, polyclonal Treg may suppress the desired graft-versus-leukemia effect. Although allogeneic-specific (allo-specific) Treg may provide a more-targeted graft-versus-host disease treatment, there is the need to develop easily translatable expansion protocols and to better characterize their specificity and mechanisms of suppression. In this article, we provide a robust protocol for human allo-specific Treg expansion and characterize their phenotype, potency, and specificity of suppression by testing different expansion conditions and suppression assay milieus. We found that higher concentrations of IL-2 during expansion with allogeneic APC yielded allo-specific Treg that were more-potent suppressors and displayed a more activated phenotype. Although responses to the same APC present during expansion were the most suppressed, responses to third-party APC partially matched to the expansion APC were still significantly more suppressed than responses to fully mismatched APC. Furthermore, suppression of responses to the expansion APC was strictly contact dependent, whereas suppression of responses to mismatched APC was partially independent of contact. Finally, distinct subsets in fresh and expanded Treg could be described using multidimensional visualization techniques. We propose that allo-specific Treg are HLA specific and that the mechanisms of suppression elicited depend on their compatibility with the stimulators.
A Comparative Study of Topical 5% 5-Fluorouracil with Needling versus 30% Trichloroacetic Acid with Needling in the Treatment of Plantar Warts
Authors: Basavarajappa Sushma Jankal , Subramaniyan Radhakrishnan , Dabas Rajeshwari , Lal Sandeep V. , Janney Manasa S.
Published: May 2021

Background:

Warts are benign proliferations of keratinocytes caused by Human Papilloma Virus (HPV). Plantar warts are caused by HPV types 1, 2, 4, 27 and 57. It is challenging to treat them due to frequent recurrences.

Aim:

To compare the efficacy and safety of topical 5% 5-Fluorouracil (5-FU) with needling versus 30% Trichloroacetic acid (TCA) with needling in the treatment of plantar warts.

Materials and Methods:

Sixty consecutive patients of plantar warts were randomly allocated into two groups of 30 each and treated with either 30% TCA with needling or 5% 5-FU with needling once in four weeks, until complete clearance of warts or for a maximum of three sessions. Baseline clinical photographs were taken and subjective response at the end of treatment was recorded. Objective assessment at 4, 8, and 12 weeks was carried out and outcome was evaluated by reduction in number and size of warts. Adverse effects of each group were noted and compared. Follow-up of patients was done at 6 months for clinical assessment of results and to study recurrence.

Results:

Out of 30 patients in 30% TCA group, 28 patients (93.33%) had complete response and 02 patients (6.66%) had partial response at the end of 12 weeks. In 5-FU group, 26 patients (86.66%) showed complete response, 02 patients (6.66%) had partial response, and 02 patients (6.66%) had no response to treatment. The mean reduction in size and number of warts was better in the TCA group and was significant at 4th week of follow up while at the end of 8th week and 12th week, the response was identical. There was no recurrence of warts in the complete responders at the end of 6 months. The main adverse effect seen in both groups was pain at the needling site.

Conclusion:

Needling with both topical 5% 5-FU and 30% TCA are highly effective in clearing plantar warts. However, 30% TCA has the advantage of early action and complete clearance of plantar warts with fewer adverse effects.
Atherosclerosis of cavernosal arteries as a cause of erectile dysfunction in an adult: our findings on triplex doppler sonography
Authors: O. Aiyekomogbon Joshua , D. Itanyi Ukamaka , Atim Terkaa , Abu Sadiq
Published: May 2021

A sixty year old man presented to our health facility with a year history of severe erectile dysfunction (International Index of Erectile Function Score of 5 (IIEF-5)). He was also a known hypertensive and currently being managed for hypertensive heart disease by the Cardiologist. Colour Doppler interrogation of the Cavernosal Arteries showed multiple areas of narrowing in both arteries, giving beaded appearance. The peak systolic velocities of the arteries were less than 25cm/s, and there was persistent diastolic flow in the entire spectral recordings, prompting the diagnosis of arteriogenic erectile dysfunction (ED) secondary to atherosclerosis of the cavernosal arteries. He had medical treatment with PGE5-I, and intracavernosal injection of prostaglandin E1 (Caverjet), but all to no avail. He was counselled for penile implant and he is favourably disposed to that but largely being limited by funds.
Implementation and Status of Biogas Technology in Ethiopia- Case of Tigray Region
Authors: H Tesfay Asfafaw , H Hailu Mesele , A Gebrerufael Filmon , S Adaramola Muyiwa
Published: May 2021

In Ethiopia, like most developing countries, the majority of households depend on wood and charcoal as their cooking energy resources. This energy has a direct impact on the forest coverage and its emissions have significant health issues. Biogas technology has introduced to address these problems and reduce energy poverty in developing countries. However, the success of this technology depends on many factors such as technology appropriateness, available skill, proper introduction, and government support to create favorable financial incentives. The objective of this paper is to make an overview assessment of biogas development programs in Ethiopia, identify development barriers and provide suggestions to mitigate these barriers. The national and regional biogas program of Ethiopia has implemented to give energy for cooking and to some extent for lighting. However, it has shown limited success over the years. The National Biogas Programme of Ethiopia has shown an overall 50% achievement while the Tigray region registered 55% achievement. In addition, the owner of the biogas facility in Tigray reported a 57% functionality rate but the lowest satisfaction level of 15%.  Generally, the region has shown relatively better performance in terms of dissemination and functionality but a low satisfaction rate due to technical limitation, unsteady input, and financial factors.
Diseño de un procedimiento normalizado de operaciones para la preparación de mezclas citostáticas
Authors: Megret Despaigne Rosario , Calzado Ruiz Marilín , Perrand Robert María Victoria , Ballesta Benítez Lourdes , Reyes Hernández Ivette
Published: May 2021

Se realizó una investigación en sistemas y servicios de salud, de tipo organizativa, longitudinal y prospectiva con el propósito de diseñar una propuesta de procedimiento normalizado de operaciones para la preparación de mezclas citostáticas desde la farmacia oncológica del Hospital Conrado Benítez García de la Provincia Santiago de Cuba. La investigación se llevó a cabo en el período comprendido de febrero a mayo del año 2019. Para su diseño, fueron consideradas tres etapas: revisión de los aspectos fundamentales de la preparación de mezclas citostáticas en el contexto nacional e internacional, la realización de la observación participante en el área de preparación de mezclas citostáticas de la farmacia objeto de estudio y por último el diseño del procedimiento. Se obtuvo como resultado un predominio de publicaciones revisadas en la base de datos Pubmed con el 37,14% y el 53,33% de tesis de Licenciatura en Enfermería, la observación participante demostró que el proceso de preparación de mezclas citostáticas presenta algunas limitaciones al compararlo con las bibliografías consultadas. El diseño del procedimiento incluyó en su estructura: objetivo, alcance, nivel de acceso, departamentos involucrados, términos y definiciones, normas de bioseguridad, desarrollo, registro, bibliografía y anexos. Aporta además indicadores de calidad, basados en el proceso de preparación de mezclas citostáticas para la obtención de una mayor calidad en la provisión de estos medicamentos. Este es un estudio pionero ya que aporta un documento capaz de guiar al profesional farmacéutico en el tema en aras de proteger tanto a los manipuladores como a los pacientes.
Las redes sociales como puente para pacientes informados
Authors: Fajardo Estefania
Published: May 2021

Hablemos de lupus es un programa integral en línea cuyo objetivo es educar a la población latinoamericana que vive con este diagnóstico.
Síndrome de Down y COVID-19: Una Breve Perspectiva
Authors: Paz-Maldonado Eddy
Published: May 2021

Señora editora: Con el surgimiento de la pandemia por COVID-19 se exacerbaron las desigualdades en la mayoría de países de todo el mundo, pero particularmente en aquellos en vías de desarrollo donde a las personas con Síndrome de Down se les ofrece menos oportunidades de acceder a diversos servicios, incluidos los de índole médica. Palabras clave: COVID-19, síndrome de down
Prescription Patterns Of Antimigraine Drugs
Authors: Machado-Duque Manuel E. , Gaviria-Mendoza Andrés , Machado-Alba Jorge E.
Published: May 2021

Objetivo: Determinar los patrones de prescripción de medicamentos antimigrañosos en una población de Colombia. Métodos: Estudio de corte a partir de una base de datos poblacional que recogió todos los pacientes con diagnóstico de migraña y los medicamentos empleados para el tratamiento de crisis y profilaxis. Se hicieron análisis multivariados para identificar variables asociadas con uso de profilaxis. Resultados: Se identificaron 5973 pacientes con diagnóstico de migraña, con edad media de 37,7±14,5 años y predominio femenino (81,3%). El diagnóstico más común fue migraña sin aura (n=2207; 36,9%), seguido de migraña con aura (n=1697; 28,4%); el 7,3% fue atendido por neurología, 1,9% por medicina interna y 92,8% por medicina general. El 85,4% (n=5101) recibió tratamiento para los episodios agudos y los antiinflamatorios no esteroideos (n=3112; 52,1%) fueron los fármacos más empleados, seguidos de ergotamina (n=2513; 42,1%). El 46,3% (n=2766) estaban recibiendo medicamentos para profilaxis. Las mujeres, mayores de 35 años y aquellos atendidos por neurología tuvieron mayor probabilidad de recibir profilaxis. Conclusiones: Predominó el uso de medicamentos para manejo agudo. Pese a los importantes efectos indeseables, la ergotamina sigue empleándose con frecuencia. Los médicos deben evaluar la necesidad de profilaxis enfocados en buscar una terapia efectiva que reduzca las incapacidades. Palabras clave: acetaminofen, antiinflamatorios no esteroideos, ergotamina, Farmacoepidemiología, migraña con aura, migraña sin aura, Trastornos migrañosos