bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance of Monte Carlo Tree Search Algorithms when Playing the Game Ataxx
Authors: Ribeiro Leonardo F. R. , Figueiredo Daniel R.
Published: January 2019

Monte Carlo Tree Search (MCTS) has recently emerged as a promising technique to play games with very large state spaces. Ataxx is a simple two-player board game with large and deep game tree. In this work, we apply different MCTS algorithms to play the game Ataxx and evaluate its performance against different adversaries (e.g., minimax2). Our analysis highlights one key aspect of MCTS, the trade-off between samples (and accuracy) and chances of winning the game which translates to a trade-off between the delay in making a move and chances of winning.
Deep Neural Networks with Application to Transformer Failure Diagnosis
Authors: Moraes Hugo Riviere S. , Castro Adriana Rosa Garcez
Published: January 2019

This paper presents the outcomes of an application research of deep neural networks to diagnosis incipient faults in power transformer through dissolved gas-in-oil analysis (DGA). Two models was proposed, first, using a Stacked Autoencoder Network and later a Convolucional Neural Network. To the development of the system was used the database TC10 which contains data of faults usually found in electrical equipment in service. This database are described in norm IEC 60599. The outcomes achieved, considering the testing data was 100% and 96,5% of accuracy, showed that this models containing a wide applicability to the problem.
Sentiment Analysis of Twitter Posts About the 2017 Academy Awards
Authors: Correa Igor T. , Abdala Daniel D. , Miani Rodrigo S. , Faria Elaine R.
Published: January 2019

This paper aims to perform the sentiment analysis of Twitter posts related to the movies nominated for Best Picture of the 2017 Oscars in order to find out if there is a correlation between the posts and the Oscar winners. A tweets database was built, pre-processed, and later evaluated by three distinct approaches: Naive Bayes, Distant Supervision Learning, and Polarity Function. It was possible to predict which movie would be considered the winner and which would be among the less prestigious ones. It was noted that Twitter users prefer to post positive comments about movies rather than saying bad things about the ones they did not like. Furthermore, it was verified that award shows such as the Oscars cause a growth in the number of posts on Twitter.
An Agent Program Capable of Applying Local Search Strategies in the State Space of Well Defined Problems
Authors: França Thayanne , Junior Raimundo J. C. F. , Pereira Jherson H. A. , Silveira Francisca R. de V. , De Campos Lidio M. L. , Araújo Thelmo P. , De Campos Gustavo A. L.
Published: January 2019

Classical models of agents for solving well-defined problems are widely used in the literature but are limited to systematic search strategies in order to find the solutions. However, these strategies are not suited for all types of application. This work presents an adaption of classical models of agents for local search strategies. One agent system for neural network automatic design is used to show the feasibility of the proposal. The results are promising, since the model found satisfactory solutions for the proposed problems.
Proposal of an automatic tool for evaluating the quality of decision-making on Checkers player agents
Authors: Faria Matheus Prado Prandini , Julia Rita Maria Silva , Tomaz Lídia Bononi Paiva
Published: January 2019

Checkers player agents represent an appropriate case study for the best unsupervised methods of Machine Learning. This work presents a tool to measure the performance of these methods based on the quality of the decision making of these agents. The proposed tool, based on the data of movements performed in real games by the agents under evaluation, provides a statistical way of automatically comparing the coincidence rates between the decision making of the evaluated agents with those that the remarkable player agent Cake would do in the same situations. The tool was validated through tournaments between agents comparing their respective coincidence rates and their performance.
Evolutionary Optimization of Robust Control Laws for Mobile Robots in Dynamic Environments
Authors: Del Lama Rafael S. , Candido Raquel M. , Raineri Luciana T. , Tinós Renato
Published: January 2019

The problem of controlling mobile robots in dynamic environments is an interesting challenge. This paper investigates the problem of controlling mobile robots in dynamic environments through robust control laws defined by echo state networks (ESN). The output weights of the ESN are optimized by genetic algorithms (GAs). Different GAs developed for optimization in dynamic environments are compared in the problem of searching for robust solutions. Two approaches are investigated: through dynamic evolutionary optimization and robust evolutionary optimization. In the experiments, the GA evolved in the static environment produces good trajectories in environments that resemble the static environment (without obstacles). However, it presents unsatisfactory performance in environments that are very different from the static environment. Both GAs evolved in the dynamic and robust optimization approaches present good results in environments that differ from the static environment.
Mapping sports interest with social network
Authors: Ferreira Gabriel Souza , Pádua Flávio Luis Cardeal , Schwartz William Robson , Rodrigues Marco Túlio Alves Nolasco
Published: January 2019

Discovering regions that have sports interest in a set of images acquired from a scene at different times and possibly from different viewpoints and cameras is a crucial step for many applications. Physical activity can be effective at all stages of chronic disease, therefore, finding regions with the presence of physical activities might contribute to is important for the elaboration of public policies to minimize the presence of diseases such as obesity. This work addresses the problem of sport/non-sport image classification. We combine Convolutional Neural Network (CNN), traditional classifiers and geographical information to provide robust training and testing stages. As result, we achieved a high area under the curve (AUC) in a social network dataset. The experimental results show the feasibility of our proposed model. These results can be used and applied to develop public health policies based on statistics of sports interest.
Computer-Aided Tuberculosis Detection from Chest X-Ray Images with Convolutional Neural Networks
Authors: Evalgelista Lucas Gabriel Coimbra , Guedes Elloá B.
Published: January 2019

Diagnosing Tuberculosis is crucial for proper treatment since it is one of the top 10 causes of deaths worldwide. Considering a computer-aided approach based on intelligent pattern recognition on chest X-ray with Convolutional Neural Networks, this work presents the proposition, training and test results of 9 different architectures to address this task as well as two ensembles. The highest performance verified reaches accuracy of 88.76%, surpassing human experts on similar data as previously reported by literature. The experimental data used comes from public medical datasets and comprise real-world examples from patients with different ages and physical characteristics, what favours reproducibility and application in practical scenarios.
Deep Transfer Learning for Meteor Detection
Authors: Galindo Yuri , Lorena Ana Carolina
Published: January 2019

In this paper, a pre-trained deep Convolutional Neural Network is applied to the problem of detecting meteors. Trained with limited data, the best model achieved an error rate of 0.04 and an F1 score of 0.94. Different approaches to perform transfer learning are tested, revealing that the choice of a proper pre-training dataset can provide better off-the-shelf features and lead to better results, and that the use of very deep representations for transfer learning does not worsen performance for Deep Residual Networks.
A Competitive Structure of Convolutional Autoencoder Networks for Electrocardiogram Signals Classification
Authors: Baia Alexandre Farias , Castro Adriana Rosa Garcez
Published: January 2019

This paper presents the proposal of an electrocardiogram (ECG) signals classification system through a competitive structure of Convolutional Autoencoders (CAE). Two Convolutional Autoencoders were trained to reconstruct ECG signals for the cases of patients with arrhythmia and patients with signals considered normals. After the training, the two networks were arranged in a competitive parallel structure to classify these signals. For the development and testing of the system, the MIT-BIH Arrhythmia Database of ECG signals was used. An accuracy of 88,9% was achieved considering the database used for system testing.
Performance Analysis of Deep Neural Networks in piRNAs Classification
Authors: Da Costa Alisson Hayasi , Dos Santos Renato Augusto Corrêa , Cerri Ricardo
Published: January 2019

Modern machine learning techniques, such as Deep Learning, have been successful in many complex Bioinformatics tasks. The capacity of Deep Neural Networks to handle large volumes of data has made them essential tools for multiple areas of knowledge. However, developing the best model for a given task is a hard work. Deep Neural Networks have a very large number of hyperparameters, making them as powerful as complex to be adjusted. Therefore, in order to better understand the behavior of Deep Neural Networks when applied to biological data, we present in this paper a performance analysis of a Deep Feedforward Network in piRNAs classification. Different configurations of activation functions, initialization of weights, number of layers and learning rate are experienced. The effects of different hyperparameters are discussed and certain organizations are proposed for similar domains of data.
Application of the NetLogo Tool in Ischemic Stroke Simulation
Authors: De Aguiar Paulo Victor , De Sá Claudio Cesar , De Lima Helder Geovane Gomes , Amaral Augusto Radünz , Parpinelli Rafael Stubs
Published: January 2019

This paper presents the proposal of a mathematical model for ischemic stroke, which is implemented with multiagent systems, in a general purpose tool known as NetLogo. The objective of this simulator is to obtain a partial view of the stroke for didactic purposes and to motivate future works for the treatment of the disease. Given the importance of stroke, we want to know how it evolves after its initial symptom, over time. This simulator allows a study of the evolution of the disease, regarding the speed of growth and the affected areas in certain region of the brain.
An ILS algorithm with RVND for the green vehicle routing problems with time-varying speeds
Authors: Júnior Darci José Mendes , Gonçalves Luciana Brugiolo , Soares Stênio Sã R. F.
Published: January 2019

The environmental impacts of human action have led several countries to create stricter laws and tax breaks to reduce this damage. Thereby, the Green Logistic has been increasingly sought to meet the requirements and needs for a more sustainable development. This work presents an ILS (Iterated Local Search) algorithm combined with RVND (Random Variable Neighborhood Search) and compare it with a GRASP (Greed Randomized Search Procedure) algorithm where each one has two variations: minimize distance and minimize emission. The results show the effectiveness of the ILS approach and heuristics that minimize the total distance covered do not present themselves as good solutions in terms of sustainability.
Flower Pollination Algorithm Combined with Multiple Strategies of Opposition–Based Learning
Authors: Bezerra Cácio L. N. A. , Bezerra Cácio L. N. A. , Costa Fábio G. B. C. , Bazante Lucas V. , Carvalho Pedro V. M. , Paiva Fábio A. P.
Published: January 2019

Flower Pollination Algorithm (FPA) has been widely used to solve optimization problems. However, it faces the problem of stagnation in local optimum. Several approaches have been proposed to deal with this problem. To improve the performance of the FPA, this paper presents a new variant that combines FPA and two variants of the Opposition Based Learning (OBL), such as Quasi OBL (QOBL) and Elite OBL (EOBL). To evaluate this proposal, 10 benchmark functions were used. In addition, the proposed algorithm was compared with original FPA and three variants such as FA–EOBL, SBFPA and DE–FPA. The proposal presented significant results.
Artificial Immune Systems for Solving the Uncapacitated Single-Allocation p-Hub Median Problem
Authors: Nobrega Gabriel L. , Tasso Vinicius J. , Souza Allan G. , Fernandez Stephanie A. , Silva Daniel G.
Published: January 2019

Optimization problems such as the Uncapacitated Single-Allocation p-Hub Median Problem represent good models for real network design issues, hence an increasing research interest has emerged. A good hub location reduces costs and improves the quality of delivered services on network-based systems. In this work, two artificial immune systems are employed in order to address the problem, where the numerical results indicate good quality of solutions.
A GA-Based Approach for Building Regularized Sparse Polynomial Models for Wind Turbine Power Curves
Authors: Maya Haroldo C. , Barreto Guilherme A.
Published: January 2019

In this paper, the classical polynomial model for wind turbines power curve estimation is revisited aiming at an automatic and parsimonious design. In this regard, using genetic algorithms we introduce a methodoloy for estimating a suitable order for the polynomial as well its relevant terms. The proposed methodology is compared with the state of the art in estimating the power curve of wind turbines, such as logistic models (with 4 and 5 parameters), artificial neural networks and weighted polynomial regression. We also show that the proposed approach performs better than the standard LASSO approach for building regularized sparse models. The results indicate that the proposed methodology consistently outperforms all the evaluated alternative methods.
Campos Potenciais na Dispersão de Fumaça Aplicada a Simulações de Evacuação
Authors: Corrêa Bruna A. , Bicho Alessandro de L. , Adamatti Diana F.
Published: January 2019

Sabe-se que em uma situação de incêndio, uma das principais causas de mortes é a inalação de fumaça. Portanto, é essencial que, no início de situações de emergência, as pessoas saiam rapidamente para evitar possíveis lesões. Neste trabalho foi investigada a dispersão de fumaça em locais fechados, e simulado o comportamento de multidões nessas situações. O objetivo é apresentar uma nova proposta para modelar a dispersão de fumaça em ambientes fechados, utilizando o conceito de campos potenciais associado a autômatos celulares. Para validar o trabalho, foi implementado um modelo comportamental para a simulação de evacuação de pessoas utilizando a abordagem multiagente.
CUR: Group Profiling with Community-based Users’ Representation
Authors: Gomes João Emanoel Ambrósio , Prudêncio Ricardo B. C. , Nascimento André C. A.
Published: January 2019

Group profiling methods aim to construct a descriptive profile for communities in social networks. Before the application of a profiling algorithm, it is necessary to collect and preprocess the users’ content information, i.e., to build a representation of each user in the network. Usually, existing group profiling strategies define the users’ representation by uniformly processing the entire content information in the network, and then, apply traditional feature selection methods over the user features in a group. However, such strategy may ignore specific characteristics of each group. This fact can lead to a limited representation for some communities, disregarding attributes which are relevant to the network perspective and describing more clearly a particular community despite the others. In this context, we propose the community-based user’s representation method (CUR). In this proposal, feature selection algorithms are applied over user features for each network community individually, aiming to assign relevant feature sets for each particular community. Such strategy will avoid the bias caused by larger communities on the overall user representation. Experiments were conducted in a co-authorship network to evaluate the CUR representation on different group profiling strategies and were assessed by hu- man evaluators. The results showed that profiles obtained after the application of the CUR module were better than the ones obtained by conventional users’ representation on an average of 76.54% of the evaluations.
A Sequential Pattern Detection and Sentiment Analysis Combined Approach to the Churn Prediction Problem in Client Relationship Management Environments
Authors: Pimentel Thiago P. , Goldschmidt Ronaldo R.
Published: January 2019

The cost of losing profitable customers in competitive markets is driving companies to engage in customer retention. Therefore, anticipating client churn (i.e., cancellation) becomes essential. Among the researches on churn prediction models, we highlight those that are based on sequential pattern detection. Although promising, such initiatives do not take into account the sentiments present in the client’s interactions with the company. Given the above, this article proposes a method that generates churn prediction models from the combination of sequential pattern detection with sentiment extraction from the interactions with the clients. Experimental results confirm the adequacy of the proposed method.
Product Recommendation Using Classification Algorithms
Authors: Vargas Dalton L. , Granatyr Jones , Knop Jeferson , De Almeida Cleber
Published: January 2019

Com a expansão da internet pelo mundo, o início do consumo em dispositivos móveis e a propagação doe-commerce, sistemas de recomendação e mineração de dados, tornaram-se um tema extremamente atrativo. Portanto, é necessário filtrar, priorizar e fornecer informações relevantes, a fim de enfrentar com eficácia o problema da sobrecarga de informações. Assim, o objetivo deste trabalho é trazer contribuições científicas para a área de Inteligência Artificial, no sentido de demonstrar como recomendar produtos, para usuários que não possuem conhecimento técnico específico, através de técnicas de classificação. Nossa proposta é avaliada pela precisão das recomendações obtidas através dos algoritmos de classificação aplicados as bases de dados de treinamento.
Brazilian Government Procurements: an Approach to Find Fraud Traces in Companies Relationships
Authors: Baldomir Rebeca A. , Van Erven Gustavo C. G. , Ralha Célia Ghedini
Published: January 2019

Data mining has been an area of high visibility in recent years and many researches have shown good efficiency in this area to find information in large databases. This paper presents an approach to find fraud traces applying data mining techniques to public databases of the Brazilian Federal Government bidings. The aim is to find evidence of fraud, such as stunts and cartels. The task of finding fraud evidences in large amount of data is complex for auditors since they have correlate data. The proposed approach was used to develop a prototype which has been used by auditors in the Ministry of Transparency and General Comptroller of the Union (CGU).
A comparison of parameter selection measures for sensor learning from financial news events
Authors: Farias Alex S. , Rezende Solange O. , Marcacini Ricardo M.
Published: January 2019

The popularization of web platforms promoted a significant increase in the publication of financial news and reports in digital media. In this sense, a multidisciplinary research area called “learning to sense” (or sensor learning) has received attention recently. Unlike traditional machine learning methods, in sensor learning there is an interest in obtaining a time series that indicates the activity of a particular topic over time. A sensor is represented by a set of parameters learned from a historical news events dataset. The sensor generates time series as news events are processed and these time series are used in decision support systems. This paper presents an overview of sensor learning for financial news. We compared six parameter selection measures for sensor learning, with the differential of considering an unsupervised scenario. The general idea is to use the concept of k-recurrent events, i.e, news events that are similar and occur together in different periods of up-trends and down-trends of a financial time series. Thus, if a specific event (extracted from news) occurred at least k times in the past always associated with up-trends, then such news is labeled as positive news. Analogously, it can be labeled as negative. The experimental results from real data provided evidence that the approach investigated in this work is a promising alternative for sensor learning from financial news events, especially in contexts where there are no domain experts or external information to label a training set.
Biased Mutation and Tournament Selection Approaches for Designing Combinational Logic Circuits via Cartesian Genetic Programming
Authors: Da Silva José Eduardo H. , Manfrini Francisco A. L. , Bernardino Heder S. , Barbosa Helio J. C.
Published: January 2019

Cartesian Genetic Programming (CGP) is often applied to design combinational logic circuits. However, there is no consensus in the literature regarding the more appropriate objective function when it is desired to minimize the number of logic gates of the circuit. Thus, we analyze here two strategies: the minimization of the number of logic gates and the maximization of the number of wire gates. Additionally, a biased mutation strategy for CGP, which were previously presented and tested only to find a feasible solution, are extended in this paper for the subsequent optimization step. Several configurations were proposed and tested varying objective function and selection schemes. Compu- tational experiments are conducted with some benchmark circuits to relatively compare the proposed methods, and the results obtained are better than those found by the other techniques considered here.
A Water Flow Control with OnLine Neurofuzzy Controller using a Dynamic Learning Rate
Authors: Gomes Hugo , Ferreira1 Carolina , Oliveira1 Everthon , Reis Agnaldo , Caminhas Walmir
Published: January 2019

This paper describes an ONFC (OnLine Neurofuzzy Controller) application with a dynamic learning rate to control the water flow of a real plant. A revision of ONFC is presented and the ONFCDw version is used, which has an action that minimizes the increase in the difference between the controller weights. The dynamic learning rate used to update the controller weights is described and the results of experiments performed in a water flow control process are presented, comparing the results with the PID controller used in the process.
Improving Dynamic Scripting for Adaptive Game AI with a Tactic Replacement Algorithm
Authors: De Oliveira Lucas Izumi , Pitangui Cristiano Grijó , Andrade Alessandro Vivas , De Assis Luciana Pereira , Da Silva Cristiano Maciel
Published: January 2019

Artificial Intelligence (AI) plays an important role in digital games nowadays. With players becoming increasingly demanding, it is vital to provide an AI that challenges and entertains them. The use of Adaptive Artificial Intelligence (AAI) has shown potential to adapt to each player by learning their techniques and offering a consistent challenge. This research consists on the analysis of an AAI technique known as Dynamic Scripting (DS) and in the development of a new algorithm (called Tactic Replacement) to improve it. Results show that, in comparison with the default DS algorithm, the proposed algorithm achieved a time reduction of ≈ 50% to achieve convergence. Also, it was able to reduce by 40% the average number of rounds to reach the convergence.
Censorship Dateline
Authors: Stone David R.
Published: January 2019

Libraries, Schools, Colleges and Universities, Military Bases, Social Media, Freedom of the Press, Drag Queen Storytimes, International, For the Record
Tolvaptan Use to Treat SIADH in a Child
Authors: Koksoy Adem Yasin , Kurtul Meltem , Ozsahin Aslı Kantar , Cayci Fatma Semsa , Tayfun Meltem , Bayrakci Umut Selda
Published: January 2019

Hyponatremia is one of the most common electrolyte abnormalities encountered in the clinical setting in hospitalized patients. The syndrome of inappropriate antidiuretic hormone secretion (SIADH) is the leading cause of hyponatremia in most of these cases. While fluid restriction, hypertonic saline infusion, diuretics, and the treatment of underlying conditions constitute the first line of treatment of SIADH, in refractory cases, and especially for pediatric patients, there seems not to be any other choice for treatment. Tolvaptan, although its use in pediatric patients is still very limited, might be an attractive treatment option for correction of hyponatremia due to SIADH. Here we present a pediatric case of SIADH that was resistant to treatment with fluid restriction and hypertonic saline infusion and was treated successfully with tolvaptan. Tolvaptan could be a good, safe, and effective treatment option in pediatric SIADH cases that are resistant to treatment. However, the dosage should be titrated carefully.
Sleep quality and its association with psychological distress and sleep hygiene: a cross-sectional study among pre-clinical medical students
Authors: Rezaei Mojtaba , Khormali Moein , Akbarpour Samaneh , Sadeghniiat-Hagighi Khosro , Shamsipour Mansour
Published: January 2019

Objective: This study aimed to investigate subjective sleep quality and its association with demographics, psychological health, and sleep hygiene related behaviors in pre-clinical medical students.

Methods: In this cross-sectional study, a self-administered questionnaire consisting of demographics, sleep hygiene behaviors, Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety and Stress Scale-21 (DASS21) was handed out to all medical students of Tehran University of Medical Sciences at pre-clinical stage.

Results: The questionnaire was filled out by 553 (89.7%) of 616 students approached. About 60% of our sample had a global PSQI score of more than 5 (cut off of poor sleep quality) with mean global PSQI score of 6.32 (SD=2.72). The prevalence of moderate to extremely severe depression, anxiety and stress scores were 26.1%, 29.61%, and 14.5% respectively. Poor sleep quality was associated with later year in the school, psychological distress and several lifestyle behaviors. Constructing a multivariate logistic model, depression, anxiety and some sleep hygiene behaviors were significantly associated with higher PSQI score.

Discussion: Our findings suggest that poor sleep quality is a common problem among pre-clinical medical students and is associated with some psychological symptoms and sleep hygiene behaviors. This issue demonstrates necessity of interventions to improve the sleep quality in this population group.
A nonparametric methodological analysis of rest-activity rhythm in type 2 diabetes
Authors: Cavalcanti-Ferreira Paula , Berk Lee , Daher Noha , Campus Tania , Araujo John , Petrofsky Jerrold , Lohman Everett
Published: January 2019

The purpose of this study was to analyze the rest-activity rhythm of type 2 diabetics mellitus (T2DM) and compare it to healthy controls using the nonparametric analytic approach. Twenty-one diabetics and 21 healthy subjects matched for gender and age were recruited to participate in the study. Data were analyzed using the Independent t-test, Mann-Whitney U test, and Spearmans correlation. T2DM subjects demonstrate lower interdaily stability (IS) (p=.03), higher intradaily variability (p=.046) and lower rhythm amplitude (p=.02) when compared to healthy controls. Also, there was a positive correlation between IS and most active 10 hr (M10) in the average of 24 hours pattern (r =.44; p=.046) in the diabetes group and a negative correlation between IV and M10 in the healthy group (r =-.57; p=.007). These data together suggest that T2DM exhibits a dysfunction in the rest-activity rhythm due to alterations in the circadian function as well as in the homeostatic capacity to maintain sleep; mainly characterized by less consistency across days of the daily circadian signal, higher rhythm fragmentation and lower rhythm amplitude. Future approaches may be developed considering the influence of circadian glucose variations throughout the day on the coupling of the rest-activity rhythm to zeitgeber and rhythm fragmentation.
RESEÑA de : Thivel, A. Cnide et Cos? Essai sur les doctrines medicales dans la collection hippocratique. París :Les Belles Lettres, 1981
Authors: López Férez Juan Antonio
Published: January 2019

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Precisiones a una nueva edición del Libro de la Montería.
Authors: Fradejas Rueda José Manuel
Published: January 2019

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Presencia de la literatura en Mazurca para dos muertos de Camilo José Cela.
Authors: Romera Castillo José
Published: January 2019

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Datos sobre el leísmo y laísmo de persona en el habla de la ciudad de Burgos.
Authors: Martínez Martín F. Miguel
Published: January 2019

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Diccionario militar para la traducción de Juan Ginés de Sepúlveda.
Authors: López de Ayala y Genovés María José , Conde Salazar Matilde
Published: January 2019

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El castigo del Tirano (Alc. 143 Voigt).
Authors: Rodríguez Somolinos Helena
Published: January 2019

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Sobre los conceptos de clandestinidad y automarginación en la literatura de la Ilustración española.
Authors: Pallarés Moreno José
Published: January 2019

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La novela experimental de Henry James: dimensión poética de The Beast in the jungle.
Authors: Álvarez Calleja María Antonia
Published: January 2019

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Antonio Machado : poesía de guerra y guerra poética.
Authors: Salas Cardona Ana
Published: January 2019

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El matrimonio de Helena: solución lexemática.
Authors: López Gregoris Rosario
Published: January 2019

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Consideraciones sobre un borrador que sirvió para la edición de 1780 del De Rebus Gestis Caroli V de Ginés de Sepúlveda.
Authors: López de Ayala y Genovés María José , Conde Salazar Matilde
Published: January 2019

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Cuando la historia se tiñe de rojo.
Authors: Benoit Morinière Claude
Published: January 2019

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La presencia y ausencia del pronombre personal.
Authors: Hui-Chuan Lu
Published: January 2019

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Dostoievski en Bajtín: raíces y límites de la polifonía.
Authors: Igartua Huarte Iván
Published: January 2019

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The predicative function of adjectives
Authors: Martínez del Castillo Jesús Gerardo
Published: January 2019

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Una nota biográfica de Cidi Hamete Ben Gelie.
Authors: Abi-Ayad Ahmed
Published: January 2019

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Bécquer, precedente de la modernidad.
Authors: González Dengra Miguel
Published: January 2019

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Flexión y derivación en la gramática funcional de Dik.
Authors: Martín Arista Javier
Published: January 2019

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Publicaciones sobre literatura francesa en España, 1997.
Authors: Yllera Alicia
Published: January 2019

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Publicaciones sobre filología griega en España: 1998.
Authors: Rodríguez Somolinos Helena
Published: January 2019

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Narrativa feminista en los cuentos de la Condesa de Pardo Bazán.
Authors: Ojea Fernández María Elena
Published: January 2019

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Divisions within Divisions: text typologies and the "literary" text.
Authors: MacErlain Patricia
Published: January 2019

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Fuzzy illusions: reality and the subject in Eric Kraft's "Call me Larry".
Authors: Delgado Crespo Violeta
Published: January 2019

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From Romance to Ritual: myth, ritual and subversion in D. H. Lawrence's "The Virgin and the Gipsy".
Authors: Ibañez Muñoz Oscar
Published: January 2019

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La amistad como motivo recurrente en las "Novelas ejemplares" de Cervantes
Authors: Muñoz Sánchez Juan Ramón
Published: January 2019

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Information flow in TV series : a textual approach
Authors: Ortega Gil Pablo
Published: January 2019

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¿Crimen como modo de integración? : la marginación de "Der Rotkopf" en Ruodlieb
Authors: Parra Membrives Eva
Published: January 2019

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Los sustantivos en -ura.
Authors: Fernández Rodríguez-Escalona Gullermo
Published: January 2019

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Publicaciones sobre filología griega en España (2001).
Authors: Rodríguez Somolinos Helena
Published: January 2019

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El mito de Prometeo y Pandora "metamorfoseado" por Casti
Authors: Arce Menéndez Angeles
Published: January 2019

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When Words Collide: el inglés y el humor en tres tristes trigres
Authors: Rodríguez Medina María Jesús
Published: January 2019

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El poema en prosa y el principio antimétrico...
Authors: Márquez Miguel A.
Published: January 2019

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En torno a la forma lexe (VE. N. 213: CO. N. 216) y el infinitivo latino legere.
Authors: Jiménez Zamudio Rafael
Published: January 2019

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Un silencio olvidado: la poesía de Juan Perucho
Authors: Manjón-Cabeza Cruz Dolores
Published: January 2019

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Sobre la difusión de L'unione del regno di Portogallo alla Corona di Castiglia de Conestaggio (1585) : con la edición de una versión manuscrita desconocida del prólogo a la segunda edición (1589)
Authors: Casas Nadal Montserrat
Published: January 2019

Se analiza la figura del historiador genovés Girolamo Franchi di Conestaggio, la importancia de su obra y los ataques que ésta sufrió por parte de la crítica historiográfica. Tales críticas llegaron al extremo de negarle la paternidad de su obra histórica, atribuyéndola a Don Juan de Silva, Conde de Portalegre, quien se limitó a traducir el problemático prólogo de la segunda edición. A pesar de estas dificultades, la obra de Conestaggio tuvo una extraordinaria recepción en Europa y en España donde fue traducida inmediatamente por varias personas al mismo tiempo, todas ellas muy cercanas a la corte del monarca católico.
Algunos poemas inéditos de Blas de Otero correspondientes a la primera etapa de su creación
Authors: Montejo Gurruchaga Lucía
Published: January 2019

Los diez poemas inéditos que muestro en este artículo forman parte de los manuscritos de sus obras Ángel fieramente humano, Redoble de conciencia y Ancia y pertenecen, por tanto, a su primera etapa. Otero los entregó en la Sección de Inspección de Libros, como era preceptivo, para solicitar la tarjeta de autorización para su publicación. Algunos son de tema amoroso, otros reflejan la condición mortal del hombre, la angustia existencial de una humanidad en ruinas En otros irrumpe el tema histórico, la tragedia colectiva de la guerra y el compromiso del poeta con el hombre. En ellos se detectan algunas de las características de su poesía, como el virtuosismo con que maneja el soneto, el rendimiento sorprendente y eficaz que saca de los recursos expresivos o la presencia de algunos autores que siempre le han acompañado.
Huellas del capítulo 13 del Ulysses en una novela de Esther Tusquets
Authors: Martínez Sariego Mónica
Published: January 2019

El presente artículo aborda la posible relación entre el episodio joyceano de Nausícaa (Ulysses, 1922) y una de las intrigas secundarias en la novela de Esther Tusquets Varada tras el último naufragio (1980). El examen de ambos textos revela coincidencias formales y conceptuales que hacen plausible la influencia de la una sobre la otra. Se tienen también en cuenta las declaraciones de la propia Tusquets sobre Joyce.
Publicaciones sobre filología inglesa en España (2007)
Authors: Medrano Isabel
Published: January 2019

Bibliografía relativa a Filología Inglesa publicada en España en 2007.
El latín en las inscripciones bajomedievales
Authors: Pérez González Maurilio
Published: January 2019

Estudio lingüístico y literario de algunas inscripciones representativas de la Baja Edad Media (1250-1450) en las provincias de Asturias, Zamora, Palencia, Segovia y Ávila. De las cinco provincias se proporcionan previamente unos datos generales sobre sus epígrafes medievales. La conclusión general es que en el s. XIII y siguientes persiste la calidad alcanzada en el s. XII tras la llegada de los monjes cluniacenses. El autor finaliza defendiendo la interdisciplinariedad científica y la necesidad de unos amplios conocimientos filológicos que permitan aplicar adecuadamente la crítica textual epigráfica: sólo así la epigrafía medieval podrá contribuir a descifrar la verdad histórica.
Magín o la previsión y la novedad (1926) de Eugenio D’ors como inversión de amor y pedagogía
Authors: Ezpeleta Aguilar Fermín
Published: January 2019

El relato filosófico Magín o la previsión y la novedad forma parte, junto con Oceanografía del tedio y El sueño es vida, de la trilogía narrativa Jardín botánico. Su autor, Eugenio d’Ors, que cultiva una novela intelectual vanguardista, cincela en este caso un tipo de relato inspirado en los modelos narrativos pedagógicos clásicos. La novelita, que objeta las tesis filosóficas del intuicionismo de Bergson, puede leerse como una contrapropuesta de Amor y pedagogía de Unamuno: defensa de la norma como contrapeso a los instintos.
La historia de la Papisa Juana en una novela decimonónica : ¿traducción o adaptación?
Authors: Arce Menéndez Ángeles
Published: January 2019

De las traducciones castellanas de las Novelle galanti del ilustrado Giambattista Casti se analiza en este trabajo, por primera vez, una obra publicada en París, sin nombre de autor ni año reseñado. Aunque sabemos que puede fecharse en el siglo XIX y que salió de las manos de un español en el exilio, lo sorprendente, tal como queda demostrado en este estudio, es que, aunque La papisa parisina se presenta en la portada como «novela original», no es sino una traducción literal, octava por octava, de La papessa de Casti (novella XXXII). A través de la confrontación de los textos se ve claramente el paralelismo entre ambos y la indiscutible dependencia del anónimo de París con el texto italiano, si bien el resultado final del español no siempre es acertado ni de buena calidad literaria.
Fitonimia de La Braña
Authors: Vielba Porras Carlos
Published: January 2019

En este artículo se recogen los nombres de varias plantas silvestres presentes en los municipios de Brañosera y Ba rruelo, pertenecientes ambos a la comarca de La Braña, integrada en la Montaña Palentina, en la España septentrional. En muchos casos, los nombres vernáculos de las plantas silvestres muestran formas más próximas a las etimológicas que las formas populares recogidas en el diccionario general DRAE.This article includes the names of several wild plants found in Brañosera and Ba - rruelo municipalities, both belonging to La Braña area, which is a part of the Montaña Palentina, in northern Spain. In many cases, the vernacular names of wild plants show forms more similar to the etymological than to the colloquial ones included in the general Spanish dictionary.
Legia l’Eneydos e molts altres libres. Doctae puellae en el Curial e Güelfa
Authors: Gros Llados Sonia
Published: January 2019

El objetivo de este trabajo es analizar algunos paralelos de las damas de la novela caballeresca catalana Curial e Güelfa con rasgos representativos de los modelos femeninos dominantes en la tradición erótica de los clásicos grecolatinos, en especial, el de la docta puella de los poetas elegíacos.This paper aims to analyze some parallels between ladies in Catalan chivalric novel Curial e Güelfa and female models dominating in erotic classical tradition, especially about docta puella elegiac motif.
Main verb+gerund constructions in english explained by means of semantic transitive features
Authors: Gómez Castejón María Ángeles
Published: January 2019

There have been remarkable works on semantic transitivity although they are, to a certain extent, limited. Firstly, most of these works have only focused on syntactic constructions in which the second participant, syntactic direct object, is a Noun Phrase. Secondly, most of the works dealing with gerunds as syntactic direct objects, do not take semantic transitivity into consideration. We claim that gerund complements occurring after main verbs (i.e. [subject] [main verb] [gerund]) can be explained by taking the notion of semantic transitivity as a reference. In this sense, semantic transitivity is based on features relevant to two-participant events. In this context, a prototypical transitive event implies an event instigated by a volitionally acting agent that causes a change in an affected patient. Therefore, with the aid of a corpus, we aim to analyse the structure [subject] [main verb] [gerund] in English in relation to the most relevant features involved in coding semantic transitivity, in particular, in terms of the prototypical agent and patient.Ha habido trabajos destacados sobre la transitividad semántica a pesar de que presentan ciertas limitaciones. En primer lugar, la mayoría de estos trabajos se han centrado sólo en construcciones sintácticas en las que el segundo participante, objeto directo, es un sintagma nominal. En segundo lugar, la mayoría de los trabajos que se ocupan de los gerundios como objetos directos, no toman en cuenta la transitividad semántica. Afirmamos que los gerundios en función de complemento que aparecen después de los verbos principales (es decir, [sujeto] [verbo principal] [gerundio]) pueden explicarse tomando el concepto de transitividad semántica como referencia. En este sentido, la transitividad semántica se basa en las características relevantes que describen los eventos de dos participantes. En este contexto, un evento transitivo prototípico implica un evento instigado por un agente volitivo que causa un cambio en un paciente afectado. Por lo tanto, con la ayuda de un corpus, nos proponemos analizar la estructura [sujeto] [verbo principal] [gerundio] en inglés en relación con las características más relevantes que intervienen en la codificación de la transitividad semántica, en particular, en términos del agente y paciente prototípico.
Contestación a Algunas precisiones para el profesor Fradejas: el 'Libro de la Montería' de Alfonso XI.
Authors: Fradejas Rueda José Manuel
Published: January 2019

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El segmento fónico vocal+S en ocho poblaciones de la costa granadina (aportación informática, estadística y sociolingüística al reexamen de la cuestión).
Authors: García Marcos Francisco Joaquín
Published: January 2019

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Enclisis pronominal y posición del verbo en español antiguo.
Authors: Elvira Javier
Published: January 2019

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Valor sémico de los pronombres en La muerte de Artemio Cruz, de Carlos Fuentes.
Authors: Bobes Naves Jovita
Published: January 2019

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¿Variantes fonoestilísticas de las apositivas en posición cesura?: precisiones a la teoría de Devine Stephens.
Authors: Guzmán Guerra Antonio
Published: January 2019

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Larra y Mesonero: dos actitudes ante la censura.
Authors: Medina Bocos-Montarelo Amparo
Published: January 2019

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Relaciones a través del lenguaje: Gertrude Stein y Robert Duncan.
Authors: Brito Manuel
Published: January 2019

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Espectáculos y textos teatrales en Castilla a fines de la Edad Media.
Authors: Pérez Priego Miguel Ángel
Published: January 2019

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El sentimiento del exilio en dos poetas alejados de su patria: el Duque de Rivas y Victor Hugo.
Authors: Leguen Brigitte
Published: January 2019

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La grammaire générale et raissonée y J.Harris como precedentes de Humboldt.
Authors: Echarte Cossío María José
Published: January 2019

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La leyenda del Conde Ory: el problema de los orígenes y las fuentes literarias.
Authors: Delgado Arturo
Published: January 2019

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La comprensión oral: un proceso activo.
Authors: Bueno La Justicia María del Rosario
Published: January 2019

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Un novelista poco conocido: José Camerino y sus Novelas amorosas.
Authors: López Díaz María Dolores
Published: January 2019

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El motivo de Putifar en la tragedia griega.
Authors: Lucas José María
Published: January 2019

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Consideraciones sobre las relaciones lógicas de significado en la lengua inglesa.
Authors: Fernández Leal María del Carmen
Published: January 2019

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Lenguaje como figura.
Authors: Domínguez Rey Antonio
Published: January 2019

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El Enquiridión de Pero Díaz de Toledo.
Authors: Herrero Prado José Luis
Published: January 2019

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De Metge a Petrarca pasando por Boccaccio.
Authors: Butiñá Jiménez Julia
Published: January 2019

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La problematicidad del sujeto femenino en The Rights y The Wrongs of Woman, de Mary Wollstonecraft.
Authors: Concha Muñoz Angeles de la
Published: January 2019

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Los procesos de degeneración y mejora en Le miracle de Théophile.
Authors: Suárez María del Pilar
Published: January 2019

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Bullying and depression: the moderating effect of social support, rejection and victimization profile
Authors: Palomares Ruiz Ascensión , Oteiza-Nascimento Arantxa , Toldos Mª Paz , Serrano-Marugán Isabel , Martín-Babarro Javier
Published: January 2019

Peer relationships can be shaped as influential factors in the prevalence of bullying episodes. This research aims to analyze the effect of school bullying on the levels of depression of the victims and to what extent it is affected by social support and status in the group and by the profile of victimization. Several hierarchical linear regression analyses were calculated, in a sample of 1063 students aged 10 to 14 (47.8% of girls, M = 11.59 years, SD = 1.21 years), from 10 school of the Region of Madrid. The degree of influence of the studied variables was observed: lack of social support, peer rejection, withdrawal and impulsivity behaviors, and the relationship of all of them with victimization and depression. Findings revealed the influence of the lack of social support on the depression of victimized students. However, peer rejection did not show influence on the levels of depression of the victims. In addition, victimization associated with internalizing characteristics showed a greater association with depression than victimization associated with an externalizing profile.
The PID -5 Inventory: the dimensional profile of DSM5 to guide diagnosis and therapeutic needs in personality disorders.
Authors: Torres-Soto Juan-F. , Moya-Faz Francisco-J. , Giner-Alegría Cesar-A. , Oliveras-Valenzuela Maria-A.
Published: January 2019

The PID-5 Inventory of the American Psychiatric Association evaluates personality and related disorders based on the dimensional trait model (DSM-5 Section III), which guides individual diagnosis and therapeutic needs. We analysed its usefulness as it was applied to patients that had been referred to a Day Hospital for Personality Disorders. In the sample of 85 subjects, 51 % had Borderline Personality Disorder (BPD), and 47 % had Personality Disorder NOS or Mixed (PD-NOS/MP), 65 % presenting comorbid clinical disorders. Among the BPD group, 89 % were women, 53 % were under 30 years old; they presented a PID-5 profile of greater severity, the Negative Affect and Disinhibition Domains stood out, as well as the facets of depression, impulsivity, anhedonia and distraction. Their borderline symptoms (BEST scale) were of greater intensity, they used fewer symptom coping strategies and more avoidance strategies (COPE-28 inventory). Among the PD-NOS/MP group, 58 % are women, 80 % were aged over 30 years, and negative affectivity, especially anxiety, stood out in their PID-5 profile. Both groups show borderline and avoidant features in the IPDE screening. The PID-5 was useful for confirming specific diagnoses (BPD), for describing the trait profile as well as proposing the specific therapeutic needs of both BPD and PD-NOS/MP patients.