bluuebunny/crossref_metadata_2025 huggingface dataset:
Overview of the EVALITA 2018 Cross-Genre Gender Prediction (GxG) Task
Authors: Dell’Orletta Felice , Nissim Malvina
Published: June 2019

The Gender Cross-Genre (GxG) task is a shared task on author profiling (in terms of gender) on Italian texts, with a specific focus on cross-genre performance. This task has been proposed for the first time at EVALITA 2018, providing different datasets from different textual genres: Twitter, YouTube, Children writing, Journalism, Personal diaries. Results from a total of 50 different runs show that the task is difficult to learn in itself: while almost all runs beat a 50% baseline, no model reaches an accuracy above 70%. We also observe that cross-genre modelling yields a drop in performance, but not as substantial as one would expect.
Overview of the Evalita 2018 – itaLIan Speech acT labEliNg (iLISTEN) Task
Authors: Basile Pierpaolo , Novielli Nicole
Published: June 2019

We describe the first edition of the “ itaLIan Speech acT labEliNg” (iLISTEN) task at the EVALITA 2018 campaign (Caselli et al., 2018). The task consists in automatically annotating dialogue turns with speech act labels, i.e. with the communicative intention of the speaker, such as statement, request for information, agreement, opinion expression, or general answer. The task is justified by the large number of applications that could benefit from automatic speech act annotation of natural language interactions such as tools for the intelligent information access, that is by relying on natural dialogues. We received two runs from two teams, one from academia and the other one from industry. In spite of the inherent complexity of the tasks, both systems largely outperformed the baseline.
Overview of the EVALITA 2018 Hate Speech Detection Task
Authors: Bosco Cristina , Dell’Orletta Felice , Poletto Fabio , Sanguinetti Manuela , Tesconi Maurizio
Published: June 2019

The Hate Speech Detection (HaSpeeDe) task is a shared task on Italian social media (Facebook and Twitter) for the detection of hateful content, and it has been proposed for the first time at EVALITA 2018. Providing two datasets from two different online social platforms differently featured from the linguistic and communicative point of view, we organized the task in three tasks where systems must be trained and tested on the same resource or using one in training and the other in testing: HaSpeeDe-FB, HaSpeeDe-TW and Cross-HaSpeeDe (further sub-divided into Cross-HaSpeeDe_FB and Cross-HaSpeeDe_TW sub-tasks). Overall, 9 teams participated in the task, and the best system achieved a macro F1-score of 0.8288 for HaSpeeDe-FB, 0.7993 for HaSpeeDe-TW, 0.6541 for Cross-HaSpeeDe_FB and 0.6985 for Cross-HaSpeeDe_TW. In this report, we describe the datasets released and the evaluation measures, and we discuss results.
Irony detection in tweets: X2Check at Ironita 2018
Authors: Di Rosa Emanuele , Durante Alberto
Published: June 2019

In this paper we describe and show the results of the two systems that we have specifically developed to participate at Ironita 2018 for the irony detection task. We scored as the third team in the official ranking of the competition, thanks to the X2C-B system, at a distance of just 0.027 of F1 score from the best system.
UO_IRO: Linguistic informed deep-learning model for irony detection
Authors: Ortega-Bueno Reynier , Medina Pagola José E.
Published: June 2019

This paper describes our UO_IRO system developed for participating in the shared task IronITA, organized within EVALITA: 2018 Workshop. Our approach is based on a deep learning model informed with linguistic knowledge. Specifically, a Convolutional (CNN) and Long Short Term Memory (LSTM) neural network are ensembled, also, the model is informed with linguistics information incorporated through its second to last hidden layer. Results achieved by our system are encouraged, however a more fine-tuned hyper-parameters setting is required for improving the model’s effectiveness.
Misogyny Detection and Classification in English Tweets: The Experience of the ITT Team
Authors: Shushkevich Elena , Cardiff John
Published: June 2019

The problem of online misogyny and women-based offending has become increasingly widespread, and the automatic detection of such messages is an urgent priority. In this paper, we present an approach based on an ensemble of Logistic Regression, Support Vector Machines, and Naïve Bayes models for the detection of misogyny in texts extracted from the Twitter platform. Our method has been presented in the framework of the participation in the Automatic Misogyny Identification (AMI) Shared Task in the EVALITA 2018 evaluation campaign.
Comparing Different Supervised Approaches to Hate Speech Detection
Authors: Corazza Michele , Menini Stefano , Arslan Pinar , Sprugnoli Rachele , Cabrio Elena , Tonelli Sara , Villata Serena
Published: June 2019

This paper reports on the systems the InriaFBK Team submitted to the EVALITA 2018 - Shared Task on Hate Speech Detection in Italian Twitter and Facebook posts (HaSpeeDe). Our submissions were based on three separate classes of models: a model using a recurrent layer, an ngram-based neural network and a LinearSVC. For the Facebook task and the two cross-domain tasks we used the recurrent model and obtained promising results, especially in the cross-domain setting. For Twitter, we used an ngram-based neural network and the LinearSVC-based model.
RuG @ EVALITA 2018: Hate Speech Detection In Italian Social Media
Authors: Bai Xiaoyu , Merenda Flavio , Zaghi Claudia , Caselli Tommaso , Nissim Malvina
Published: June 2019

We describe the systems the RuG Team developed in the context of the Hate Speech Detection Task in Italian Social Media at EVALITA 2018. We submitted a total of eight runs, participating in all four subtasks. The best macro-F1 score in all subtasks was obtained by a Linear SVM, using hate-rich embeddings. Our best system obtains competitive results, by ranking 6th (out of 14) in HaSpeeDe-FB, 3rd (out of 15) in HaSpeeDe-TW, 8th (out of 13) in Cross-HaSpeeDe_FB, and 6th (out of 13) in Cross-HaSpeeDe_TW.
Exploiting Multiword Expressions to solve “La Ghigliottina”
Authors: Sangati Federico , Pascucci Antonio , Monti Johanna
Published: June 2019

The paper describes Unior4NLP a system developed to solve “La Ghigliottina” game which took part in the NLP4FUN task of the Evalita 2018 evaluation campaign. The system is the best performing one in the competition and achieves better results than human players.
ITAmoji 2018: Emoji Prediction via Tree Echo State Networks
Authors: Sarli Daniele Di , Gallicchio Claudio , Micheli Alessio
Published: June 2019

For the “ITAmoji” EVALITA 2018 competition we mainly exploit a Reservoir Computing approach to learning, with an ensemble of models for trees and sequences. The sentences for the models of the former kind are processed by a language parser and the words are encoded by using pretrained FastText word embeddings for the Italian language. With our method, we ranked 3rd out of 5 teams.
O complexo industrial da saúde no território francês: uma análise do circuito espacial produtivo de biomedicamentos
Authors: Mendes Antas Jr. Ricardo
Published: June 2019

Tratamos no presente artigo da produção de biomedicamentos no território francês, entendendo esta especialização como um circuito espacial produtivo e não como cadeia produtiva. Este circuito espacial produtivo é parte constituinte do complexo industrial da saúde, conceito que oferece entendimento ao contexto espacial e histórico para a análise empreendida. Por fim, a produção de biomedicamentos é tratada, ressaltando a importância que assumem os contratos CDMO que é a fabricação de medicamentos para terceiros, na produção de tecnologia de ponta para atender às demandas dos laboratórios farmacêuticos, por encomenda destes, quando anteriormente esta etapa era de sua exclusividade.
Infraestruturas de transportes e desenvolvimento econômico: uma análise do modal rodoviário no estado de Sergipe
Authors: Junior Nelson Fernandes Felipe , Pinheiro  Fabiana Santos
Published: June 2019

Este artigo realiza uma análise do transporte rodoviário no estado de Sergipe, considerando os reflexos econômicos, o planejamento estatal, as inversões públicas e privadas e os pontos de estrangulamento existentes. As inversões em rodovias (ainda que insuficientes) contribuíram com o efeito multiplicador no Brasil, na região Nordeste e em Sergipe, sobretudo entre 2007 e 2013 (Programa de Aceleração do Crescimento – PAC), o que refletiu na dinamização de algumas atividades econômicas. Os investimentos nas infraestruturas de transportes (sobretudo no modal rodoviário) foram/são relevantes para o desenvolvimento econômico, com impactos na circulação, nas interações espaciais, na atividade produtiva, no setor terciário e outros. Os transportes configuram um setor historicamente estrangulado no território brasileiro, demandando grandes investimentos públicos e privados. Nesse sentido, destaca-se a proposta de mudança do modelo de concessão vigente no Brasil e em Sergipe, bem como o carreamento de recursos ociosos aos setores antiociosos da economia (caso das infraestruturas).
Unidades de conservação e conflitos ambientais no litoral sergipano, Brasil
Authors: Braghini Claudio Roberto , Vilar José Wellington Carvalho
Published: June 2019

Os espaços litorâneos de Sergipe incluem áreas protegidas dentre as quais vale destacar as unidades de conservação da natureza (UC). Uma UC se estabelece como espaço de conflitos ambientais e territoriais, quando restringem o uso dos recursos pelas comunidades que vivem na unidade ou no seu entorno. Os usos considerados indevidos pela gestão podem ser tratados como pressões ou ameaças sobre os recursos protegidos e vistos como geradores de conflitos ambientais ou socioambientais. Nesse contexto, este artigo visa discutir conflitos ambientais em unidades de conservação do litoral de Sergipe. As pressões e ameaças foram obtidas a partir da análise de contexto da metodologia RAPPAM - Rapid Assessment and Priorization for Protected Area Management. Os três casos estudados evidenciam problemas ambientais, na medida em que as ações ou uso para a conservação propostas às unidades se contrapõem a outras formas de uso do território, inerente à dinâmica do litoral como espaço conflitivo em Sergipe. São sinalizados conflitos e as instâncias de diálogo e concertação tem o poder de buscar soluções consensuadas.
Mapeamento para o zoneamento ecológico do território de Alagoas, Brasil.
Authors: Badiru Ajibola Isau , Santos Nubia Dias dos , Alvim Ronaldo Gomes , Vasconcelos Alexandre Felipe de
Published: June 2019

Este artigo reporta os principais segmentos naturais do território alagoano e apresenta uma técnica racional que retrata a paisagem em desenho compreensivo setorial, baseando-se na topologia. Dentro do aspecto ecológico físico-natural, são poucos os trabalhos que demonstram a modelagem do ambiente hídrico das mini-bacias, que são exatamente o substrato que evidencia a natureza fisiográfica do lugar. As bacias hidrográficas são elementos importantes, como unidade territorial de planejamento, porque preconizam a relação entre componentes ambientais e atividades antrópicas. A ecologia dessa paisagem, remete-se aos vetores morfológicos da topografia, desenhados pela drenagem, que merecem ser equacionados no Planejamento Ambiental, baseando-se nas linhas divisoras de águas, em diferentes escalas, desde a regional até a micro. Este trabalho tem como resultado, a síntese espacial das mini-bacias de Alagoas e seus padrões estruturais, a partir de um método específico de discretização. O território de Alagoas revela regiões hidrográficas, bem como, porções morfológicas do espaço hídrico, considerando os padrões desenhados pela decodificação da hidrografia. Os segmentos comprovados pelo resultado estrutural fisiográfico são importantes como premissa para a percepção ecológica e compreensão integrada da paisagem.
Teachers' Attitudes, Knowledge and Skills in Respect to the Language Awareness Approach
Authors: Daryai-Hansen Petra , Lefever Samúel , Rimšāne Inta
Published: June 2019

This article will present findings from the DELA-NOBA project. During the project, quantitative and qualitative data from the participating teachers from pilot schools in Denmark, Estonia, Finland, Iceland, Latvia, Lithuania, and Sweden were collected to investigate the participating teachers' attitudes, knowledge and skills and experiences of using language awareness activities in teaching. Based on teacher cognition as theoretical and methodological framework, the authors will present data from the teachers' survey at the beginning of the project, the teachers' interim survey and the focus group interviews at the end of the project.
Signs of Plurilingualism
Authors: Daryai-Hansen Petra , Kirilova Marta
Published: June 2019

During the last decade, universities worldwide have gradually become more internationalized. The article contributes theoretically as well as empirically to the field of internationalization in higher education by discussing two plurilingual language strategies that have recently been implemented in Danish higher education. The authors discuss signs of plurilingualism, how they can be conceptualized and why the promotion of plurilingualism seems to be central to Danish universities' internationalization efforts. Furthermore, the authors present a preliminary model that tries to capture the plurilingual countermoves and the quantitative data that have been collected in order to investigate students' language needs and teachers' language needs, competences and practices. These findings suggest a multifaceted picture of language needs among students and language competences, practices and needs among university staff and problematize the perception of English and the national language(s) as sufficient languages for academia.
A Heterogeneous AdaBoost Ensemble Based Extreme Learning Machines for Imbalanced Data
Authors: Abuassba Adnan Omer , Zhang Dezheng , Luo Xiong
Published: June 2019

Extreme learning machine (ELM) is an effective learning algorithm for the single hidden layer feed-forward neural network (SLFN). It is diversified in the form of kernels or feature mapping functions, while achieving a good learning performance. It is agile in learning and often has good performance, including kernel ELM and Regularized ELM. Dealing with imbalanced data has been a long-term focus for the learning algorithms to achieve satisfactory analytical results. It is obvious that the unbalanced class distribution imposes very challenging obstacles to implement learning tasks in real-world applications, including online visual tracking and image quality assessment. This article addresses this issue through advanced diverse AdaBoost based ELM ensemble (AELME) for imbalanced binary and multiclass data classification. This article aims to improve classification accuracy of the imbalanced data. In the proposed method, the ensemble is developed while splitting the trained data into corresponding subsets. And different algorithms of enhanced ELM, including regularized ELM and kernel ELM, are used as base learners, so that an active learner is constructed from a group of relatively weak base learners. Furthermore, AELME is implemented by training a randomly selected ELM classifier on a subset, chosen by random re-sampling. Then, the labels of unseen data could be predicted using the weighting approach. AELME is validated through classification on real-world benchmark datasets.
Simple Convolutional Neural Network for Left-Right Hands Motor Imagery EEG Signals Classification
Authors: Tian Geliang , Liu Yue
Published: June 2019

This article proposes a classification method of two-class motor imagery electroencephalogram (EEG) signals based on convolutional neural network (CNN), in which EEG signals from C3, C4 and Cz electrodes of publicly available BCI competition IV dataset 2b were used to test the performance of the CNN. The authors investigate two similar CNNs: a single-input CNN with a form of 2-dimensional input from short time Fourier transform (STFT) combining time, frequency and location information, and a multiple-input CNN with 3-dimensional input which processes the electrodes as an independent dimension. Fisher discriminant analysis-type F-score based on band pass (BP) feature and power spectra density (PSD) feature are employed respectively to select the subject-optimal frequency bands. In the experiments, typical frequency bands related to motor imagery EEG signals, subject-optimal frequency bands and extension frequency bands are employed respectively as the frequency range of the input image of CNN. The better classification performance of extension frequency bands show that CNN can extract optimal feature from frequency information automatically. The classification result also demonstrates that the proposed approach is more competitive in prediction of left/right hand motor imagery task compared with other state-of-art approaches.
Entropy and Algorithm of Obtaining Decision Trees in a Way Approximated to the Natural Intelligence
Authors: Popova Olga , Popov Boris , Karandey Vladimir , Gerashchenko Alexander
Published: June 2019

The classification of knowledge of a specified subject area is an actual task. The well-known methods of obtaining decision trees using entropy are not suitable for the classification of the subject area knowledge. So, a new algorithm of obtaining decision trees, whose way of obtaining is approximated to the natural intelligence, is suggested in the article. Here, the knowledge of a subject area is presented as a complex of answers to questions, which help to find the solution to a current task. The connection of entropy with the appearance of knowledge, the classification of previous knowledge, and the definitions used in decision trees are also analyzed in the article. The latter is necessary to compare the suggested algorithm approximated to the natural intelligence with the traditional method, using a small example. The article contains the analysis of solving a classification task for such a subject area as optimization methods.
A Common Description and Measures for Attitude in Information Security for Organizations
Authors: Etezady Nooredin
Published: June 2019

Understanding employee's security behavior is required before effective security policies and training materials can be developed. The Anti-virus software, secure systems design methods, information management standards, and information systems security policies; which have been developed and implemented by many organizations; have not been successfully adopted. Information systems research is encompassing social aspects of systems research more and more in order to explain user behavior and improve technology acceptance. Theory of planned behavior (TPB) based on attitude, subjective norm, and perceived behavioral control constructs, considers intentions as cognitive antecedents of actions or behavior. This study reviews various research on attitude and finds the most common measures for attitude, which can be used in organizations to develop a method to influence employees' attitude positively with the goal of inducing positive security behavior. Further, a conceptual model for operationalizing the obtained measures for enhancing information security in organizations is presented.
A New Fault Tolerant Routing Algorithm for Networks on Chip
Authors: Nehnouh Chakib , Senouci Mohamed
Published: June 2019

To provide correct data transmission and to handle the communication requirements, the routing algorithm should find a new path to steer packets from the source to the destination in a faulty network. Many solutions have been proposed to overcome faults in network-on-chips (NoCs). This article introduces a new fault-tolerant routing algorithm, to tolerate permanent and transient faults in NoCs. This solution called DINRA can satisfy simultaneously congestion avoidance and fault tolerance. In this work, a novel approach inspired by Catnap is proposed for NoCs using local and global congestion detection mechanisms with a hierarchical sub-network architecture. The evaluation (on reliability, latency and throughput) shows the effectiveness of this approach to improve the NoC performances compared to state of art. In addition, with the test module and fault register integrated in the basic architecture, the routers are able to detect faults dynamically and re-route packets to fault-free and congestion-free zones.
Privacy-Protecting Algorithms for Digraph Shortest Path Queries
Authors: Ramezanian Sara , Meskanen Tommi , Niemi Valtteri
Published: June 2019

Trust relation in this work refers to permission that is given to a user at a source-host to access another user at a target-host through an authentication key with a unique fingerprint. The database owner can form a directed graph out of these trust relations, such that user-host pairs are considered nodes and fingerprints as arrows. The authors of this article present a novel protocol to query the shortest path from node A to node B, in a privacy preserving manner. The authors would like to use a cloud to perform such queries, but they do not allow the cloud to learn any information about the graph, nor the query. Also, the database owner is prevented from learning any information about the query, except that it happened.
Methods of Semantic Integrity Preservation in the Pattern Recognition Process
Authors: Kim Iuliia , Matveeva Anastasiia , Viksnin Ilya , Patrikeev Roman
Published: June 2019

In this article, much attention is paid to pattern recognition quality, especially the visual information semantic integrity preservation. The main purpose is to find the ways of its possible improvement to the three basic stages of the pattern recognition process: image preparation, image processing, and classification. To avoid semantic integrity violations of information, in the initial stage of the image analysis, normalization is proposed. In the second stage, a new clustering method was developed, based on particle swarm optimization and the k-means algorithm. In the final stage of the pattern recognition process the Haar classifier was used with normalized training samples. The proposed algorithm and only Haar classifier with non-normalized samples were tested on 500 blurred images: in 8% of samples both algorithms provided semantic integrity preservation and in 64% only the developed algorithm worked effectively.
Advanced Temporal Constraints for Business Processes Modelling and Execution
Authors: Kafeza Eleanna
Published: June 2019

In several applications like healthcare, time in workflow execution is critical. Several control and data dependencies arise that must be specified, validated as conflict free, and maintained during workflow execution. The author models these kinds of dependencies as constraints that impose temporal restrictions on the relative order of execution of the activities. Hence, a finer granularity of activity execution with respect to time is introduced. The author incorporates a subset of interval algebra in the workflow specification model and the author proposes the T-WfMc specification model. The author examines the consistency issues that arise, and the author proposes different correctness criteria.
Information Needs of Vocational Training From Training Providers' Perspectives
Authors: Chan Agnes Wai Yan , Chiu Dickson K.W. , Ho Kevin K.W. , Wang Minhong
Published: June 2019

In a transition economy, there is an increasing need for vocational training and career counseling for workers to cope with changes in the job market. This study seeks to enhance career guidance services by means of an information and communication technology-based (ICT-based) career information and guidance system. Although electronic learning (e-learning) has received much attention from researchers in the recent decade, the number of studies on how to make use of ICT in helping individuals acquire relevant information and advice that supports a career change and development is relatively small. Undoubtedly, an effective ICT application will improve the efficiency and effectiveness of career decision processes and enhance the quality of counseling services that assist human development in a transition economy. The study aims at revealing the perspectives of training providers in offering counseling services to individuals, through an ICT-based career information and guidance system, prior to the enrollment of on-the-job training or retraining programs. Data collected through semi-structured interviews were analyzed based on a constructivist grounded theory approach. Findings from participants from five institutions showed positive views on the use of ICT-based means that enables the collaboration of career counselors, educators, and professionals from different industries for providing tailor-made career guidance services. Further, functional requirements of the system and potential factors influencing system acceptance were discussed.
Risk Perception and Tourist Types
Authors: Jog Deepti , Mekoth Nandakumar
Published: June 2019

Over time, tourism has become an industry that has a visible impact on the overall development of the society. This study examines the impact of perceived risks on different types of tourists classified on the basis of travel motives and would help develop a variety of risk-reducing phenomena and paraphernalia to supply to the traveller. Based on a survey conducted among tourists visiting a tourist destination, the study explores the differences in risk perception among different tourist types. The study uses a self-designed scale on type of risks against the ITR scale that classifies travellers into three types based on their travel motives. Findings supported two types of tourist classification against the three types in the existing ITR scale. Findings further revealed that there is a significant difference in the risk perception of the two types of tourists based on their travel motives in case of satisfaction risk, exhaustion risk and psychological risk.
Tourism and Encroachment Activities at the Lame Bura Game Reserve, Bauchi State, Nigeria
Authors: Gontul Timothy K. , Iirmdu Tina Odinakachi , Maisamari Mantau , Maikanu Timchang Nimnan , Kassam Istifanus G , Uchenna Mary Onyinyechi
Published: June 2019

Spectacular, unique natural, and human tourism features in Nigeria have suffered and are still suffering from one form of encroachment or another. The aim of this study was to chronicle all the encroachment activities at the Lame Bura Game Reserve in Bauchi State, Nigeria. The methods used in the study were key informant interviews, focus group discussions and field observation. The qualitative data was analyzed, and the Purposive sampling technique was applied in the study. Findings from the results show that notable forms of encroachment include acquiring land illegally for agriculture, buildings, settlements, livestock grazing, hunting, poaching of wild animals, collections of forest products for medicine, food and timber. In conclusion, it was observed that there are outright contradictions in respecting the policies and conservation laws. It is therefore recommended that there should be urgent implementation of conservation policies and laws governing the establishment and management of protected areas in order to achieve sustainability within protected areas.
Automatic Dynamic Web Service Composition Using AND/OR Directed Graphs
Authors: Elmaghraoui Hajar , Benhlima Laila , Chiadmi Dalila
Published: June 2019

In this article, the authors propose a dynamic web service composition approach based on representing the semantic relationship between web services using a weighted directed AND/OR graph. The nodes in this graph represent available services while the arcs represent the semantic input/output dependencies among them. The novelty of this work consists of constructing the graph and computing offline the shortest paths between each pair of its nodes to disconnect this tedious task from the composition query process. A set of dynamic optimization techniques has been included to reduce the size of the graph and thus improve the scalability and performance of this approach. In addition to the sequence and fork relations between services, this solution also supports the parallel relation. Furthermore, a recovery mechanism is integrated to ensure the continuity of the execution of the composition.
The impact of anterior cruciate ligament deficiency and reconstruction on bilateral thigh muscle activity during stair descent
Authors: St Clair Gibson A. , Lambert M. I. , Vaughan C. L. , Lowery M. , O'Malley M. J. , Noakes T. D.
Published: June 2019

Aim: To assess electromyographic (EMG) gait pattern changes during stair descent in subjects with chronic anterior cruciate ligament (ACL) deficiency, and in subjects after ACL reconstruction.Methods: Thirteen ACL deficient subjects (ACLdef), 8 ACL reconstructed subjects (ACLrec), and 10 controls (CON) participated in the study. All subjects were assessed for functional and lean thigh volume (LTV) differences in the injured and uninjured limb. All subjects then stepped off a bench with EMG electrodes on the vastus medialis, vastus lateralis and hamstrings muscles of both limbs.Results: Step down activity caused similar EMG responses in the injured and supporting limb in the ACLdef group compared to that in the control group. In contrast, in the ACLrec group, the onset of EMG activity occurred earlier during the step down activity in the vastus medialis and vastus lateralis of the supporting limb. There was significantly greater EMG activity in the vastus lateralis and hamstring muscles of the supporting limb (p < 0.05) in the ACLrec group compared to ACLdef and control groups. The changes in EMG activity did not appear to be related to differences in LTV, since greater LTV deficits were present in the ACLdef compared to the ACLrec group (p < 0.01).Conclusions: In ACL reconstructed subjects, changes in muscle recruitment patterns in the supporting limb during step down activity have been identified. This altered activity pattern was not present in the supporting limb of ACL deficient subjects
Nitsche’s method for unilateral contact problems
Authors: Gustafsson Tom , Stenberg Rolf , Videman Juha H.
Published: June 2019

We derive optimal a priori and a posteriori error estimates for Nitsche’s method applied to unilateral contact problems. Our analysis is based on the interpretation of Nitsche’s method as a stabilised finite element method for the mixed Lagrange multiplier formulation of the contact problem wherein the Lagrange multiplier has been eliminated elementwise. To simplify the presentation, we focus on the scalar Signorini problem and outline only the proofs of the main results since most of the auxiliary results can be traced to our previous works on the numerical approximation of variational inequalities. We end the paper by presenting results of our numerical computations which corroborate the efficiency and reliability of the a posteriori estimators.
Fourier approximation methods for first-order nonlocal mean-field games
Authors: Nurbekyan Levon , Saúde João
Published: June 2019

In this note, we develop Fourier approximation methods for the solutions of first-order nonlocal mean-field games (MFG) systems. Using Fourier expansion techniques, we approximate a given MFG system by a simpler one that is equivalent to a convex optimization problem over a finite-dimensional subspace of continuous curves. Furthermore, we perform a time-discretization for this optimization problem and arrive at a finite-dimensional saddle point problem. Finally, we solve this saddle-point problem by a variant of a primal dual hybrid gradient method.
Twisted cyclic groups
Authors: Flowers Neil , Wakefield Thomas P.
Published: June 2019

A finite group

G

is said to be twisted cyclic if there exist

\phi \in \operatorname{Aut}(G)

and

x \in G

such that

G=\{(x^i)\phi^j\colon i,j \in \mathbb{Z}\}

. In this note, we classify all groups satisfying this property and determine that, if a finite group

G

is twisted cyclic, then

G

is isomorphic to

\mathbb{Z}_{p^n}

,

\mathbb{Z}_p\times \mathbb{Z}_p \times \cdots \times \mathbb{Z}_p

,

Q_8

,

\mathbb{Z}_{p^n}\times \mathbb{Z}_{p^n}

or direct products of these groups for some prime

p

and some

n\in \mathbb{Z}^{+}

.
On hypercentre-by-polycyclic-by-nilpotent groups
Authors: Wehrfritz B.A.F.
Published: June 2019

If

\{\gamma^{s+1}G\}

and

\{\zeta_{s}(G)\}

denote respectively the lower and upper central series of the group

G

,

s\geq 0

an integer, and if

\gamma^{s+1}G/(\gamma^{s+1}\cap \zeta_{s}(G))

is polycyclic (resp. polycyclic-by-finite) for some

s

, then we prove that

G/\zeta_{2s}(G)

is polycyclic (resp. polycyclic-by-finite). The corresponding result with polycyclic replaced by finite was proved in 2009 by G.A. Fernández-Alcober and M. Morigi. We also present an alternative approach to the latter.
Nadler mappings in cone $b$-metric spaces over Banach algebras
Authors: Özavşar Muttalip
Published: June 2019

In this study we first define the concept of Nadler type contraction in the setting of

H

-cone

b

-metric space with respect to cone

b

-metric spaces over Banach algebras. Next we prove the Banach contraction principle for such contractions by means of the notion of spectral radius and a solid cone in underlying Banach algebra. Finally we observe that the main result achieved in this work extends and generalizes the well known results associated with contractions of Nadler type.
An Addendum to the elliptic torsion anomalous conjecture in codimension 2
Authors: Hubschmid Patrik , Viada Evelina
Published: June 2019

The torsion anomalous conjecture states that for any variety

V

in an abelian variety there are only finitely many maximal

V

-torsion anomalous varieties. We prove this conjecture for

V

of codimension 2 in a product

E^N

of an elliptic curve

E

without CM, complementing previous results for

E

with CM. We also give an effective upper bound for the normalized height of these maximal

V

-torsion anomalous varieties.
Cleanness of Cohen–Macaulay monomial ideal generated by at most five elements
Authors: Enomoto Chihiro , Yoshida Ken-ichi
Published: June 2019

In this paper, we prove that any Cohen–Macaulay monomial ideal generated by at most five elements is clean.
Psychoacoustic Order Tonality Calculation
Authors: Becker Julian , Sottek Roland
Published: June 2019

Quantifying tonalities in technical sounds according to human perception is a task of growing importance. The psychoacoustic tonality method, published in the 15th edition of the ECMA-74 standard, is a new method that is capable of calculating the perceived tonality of a signal. Other methods, such as Prominence Ratio or Tone-to-Noise Ratio do not consider several essential psychoacoustic effects. The psychoacoustic tonality is based on a model of human hearing and thus is able to model human perception better than other methods. The algorithm described in ECMA-74 calculates tonality over time and frequency. In practice, tonalities often originate from rotating components, for example, parts of an electric motor. In these cases, quantification of the tonality of orders is often more interesting than the tonality over frequency. In this paper, an extension of the psychoacoustic tonality according to ECMA-74 is presented. With this extension, it is possible to calculate the order tonalities by using the rotational speed characteristics of the measured signal in order to control the parameters of the auditory filter bank. Two of the several advantages of order-domain calculation are improved signal-to-noise ratio and spectral precision of order tonality relative to a non-synchronized filter bank.
Turbulent Pressure Spectra for Separated Flow Conditions
Authors: DeJong Richard , DeVries Kurtis
Published: June 2019

The magnitude of the turbulent pressure spectrum in fluid flow over an obstruction is usually much larger than in attached flow over a smooth surface. External features on a vehicle, such as windshield wipers, side mirrors and pillars which cause flow separation, are a major source of wind noise. The modeling of the pressure spectrum in separated flow is important for designing quiet vehicles. In this study wind tunnel tests have been performed with different shaped obstructions to measure and correlate the surface pressure spectra with flow parameters such as the pressure coefficient and separation size. The model by Chase for attached turbulent boundary layer pressures is generalized to apply to separated flow conditions.
Turbocharger Centrifugal Compressor Casing Treatment for Improved BPF Noise Using Computational Fluid Dynamics
Authors: Karim Ahsanul , Mckean Matthew , Dehner Rick , Selamet Ahmet , Tiernan Chris , Morelli Anthony , Miazgowicz Keith , Mull Ted
Published: June 2019

The conventional ported shroud recirculation casing treatment elevates narrowband noise at blade pass frequency. A new ported shroud recirculating casing treatment was implemented in Ford’s 3.5L turbo gas engine as Noise Vibration and Harshness (NVH) counter measure to reduce whoosh (broadband flow noise) noise without elevating narrowband noise at blade pass frequency. The new ported shroud design incorporates holes between the main and secondary recirculating passage and a slight cross-sectional area reduction just upstream of the impeller. These design features reduce whoosh noise without elevating the first order and the sixth order tonal noise at blade pass frequency. The new ported shroud design decreases narrowband tonal noise sound pressure level by 3-6 dB in the low to mid flow region compared to the baseline design. Computational Fluid Dynamics (CFD) tools were used to develop this casing treatment design.
On the Measurement and Simulation of Flow-Acoustic Sound Propagation in Turbochargers
Authors: Ruppert Hendrik , Falke Felix , Pischinger Stefan , Günther Marco , Stienen Ralf
Published: June 2019

Most of today’s internal combustion engines are turbocharged by combined radial compressors and turbines for downsizing. This mostly leads to reduced orifice noise of both intake and exhaust systems, but the detailed damping mechanisms remain yet unknown. Intake and exhaust systems are developed with 1D-CFD simulations, but validated acoustic sub-models for turbochargers are not yet available. Therefore the aim of this publication is studying the turbocharger’s silencing capabilities and subsequently develop new acoustic turbocharger models.

The acoustic properties of the turbocharger can be well described by transmission loss. In addition to thermodynamic variations, parameter variations with wastegate and VTG systems were also performed. A total of four turbochargers of very different sizes were investigated. Low frequency attenuation is dominated by impedance discontinuities, increasing considerably with mass flow and pressure ratio. High frequency transmission loss is generated by destructive interferences in the stator, which depend on the stator mass flow distribution and the turbocharger size.

A new generic turbocharger model was developed to model both low frequency impedance discontinuities and high-frequency interferences by combining a generic geometric housing model with dynamically controlled energy terms and conventional turbocharger maps. The high thermodynamic quality is a necessary prerequisite for the high acoustic accuracy achieved. The model could be validated and the accuracy was increased by as much as 5 dB, especially for higher frequencies of engine noise.
Structural-Acoustic Modeling and Optimization of a Submarine Pressure Hull
Authors: Spain James , Zhang Geng , Vlahopoulos Nickolas
Published: June 2019

The Energy Finite Element Analysis (EFEA) has been validated in the past through comparison with test data for computing the structural vibration and the radiated noise for Naval systems in the mid to high frequency range. A main benefit of the method is that it enables fast computations for full scale models. This capability is exploited by using the EFEA for a submarine pressure hull design optimization study. A generic but representative pressure hull is considered. Design variables associated with the dimensions of the king frames, the thickness of the pressure hull in the vicinity of the excitation (the latter is considered to be applied on the king frames of the machinery room), the dimensions of the frames, and the damping applied on the hull are adjusted during the optimization process in order to minimize the radiated noise in the frequency range from 1,000Hz to 16,000Hz. Constraints on the total amount of damping that can be used are considered (resource driven constraints) and structural collapse constraints are also taken into account in order to avoid degrading the structural integrity of the pressure hull. Two different optimization strategies are exercised. First a concurrent multidisciplinary analysis is performed; optimal configurations for structural performance and for acoustic radiation are identified and the results are used for producing a single design with optimized performance in both disciplines. Then, an analysis based on set-based design principles is performed. The latter identifies several alternative and diverse hull configurations that provide similar levels of performance with respect to the radiated noise. Having several alternative solutions of nearly equal performance provides insight into the design trade-offs when configuring the pressure hull. The results from both optimization strategies are analyzed and discussed.
Gênero e currículo: olhares do feminismo negro e decolonial sobre um livro didático de Sociologia
Authors: Pereira Marcia Menezes Thomaz
Published: June 2019

Este trabalho tem como proposta apresentar algumas considerações acerca de um levantamento preliminar do conteúdo sobre gênero, presente no livro didático “Sociologia para Jovens do Século XXI”, de Luiz Fernandes de Oliveira e Ricardo Cesar Rocha da Costa, à luz das perspectivas contra-hegemônicas do feminismo negro e decolonial. Para isso, as reflexões de María Lugones, Magdalene Ang-Lygate, Djamila Ribeiro, Ochy Curiel e Chandra Mohanty serão aqui tomadas como principais referências. Em linhas gerais, pensar a dinâmica de (re)distribuição de poder dentro de um currículo escolar, através do que e como certos conteúdos estão ou não presentes, mobilizou o exercício que aqui está proposto. Em um contexto marcado por notória incidência da discussão sobre gênero, dentro e fora da academia, combinado a fortes reações contrárias a abordagem dos temas que tal conceito mobiliza, as considerações que apresento aqui buscam sinalizar a preponderância, na atual conjuntura, de pensar criticamente gênero, demarcando o seu papel epistemológico na Sociologia escolar.
Mulheres em situação de violência doméstica: aspectos referentes ao empoderamento feminino
Authors: Marinho Paloma Abelin Saldanha , Gonçalves Hebe Signorini
Published: June 2019

O artigo apresenta os resultados da pesquisa de mestrado que teve como objetivo conhecer o processo de empoderamento de mulheres em situação de violência doméstica. Como panorama teórico, será apresentado o conceito de empoderamento e os principais debates relativos a este. Como metodologia, foi utilizada a pesquisa-intervenção em um grupo de reflexão em um Centro de Referência para mulheres em situação de violência no Rio de Janeiro. Como principais resultados da pesquisa, observa-se a pertinência do uso do termo empoderamento para os estudos de gênero e violência doméstica, a existência de múltiplos aspectos de empoderamento descritos na literatura, com destaque para a tensão individual/coletivo no processo e para a possibilidade de vivência do empoderamento dentro de um contexto favorável de suporte social.
Walter Benjamim: Um contemporâneo de seu próprio tempo
Authors: Hildenbrand Johanna Gondar , Farias Francisco
Published: June 2019

Neste artigo pretendemos discutir a contemporaneidade de Benjamin em relação ao seu próprio tempo e ao nosso. Primeiro vamos definir o que Agamben está chamando de contemporâneo para, em seguida, entender por que Walter Benjamin pode assim ser caracterizado a partir de seus escritos sobre a Modernidade e, principalmente, sobre a imagem cinematográfica na Modernidade. Finalmente iremos contrapor as ideias de Benjamin às de Theodor W. Adorno para pensarmos a possibilidade de aproveitar os efeitos do choque – considerando que choque e trauma são noções chave para entendermos o funcionamento das sociedades atuais – em nosso benefício. Queremos aqui destacar a sensibilidade do exercício crítico de Benjamin e sua notável capacidade de compreender transformações subjetivas durante diferentes épocas, de prognosticar dilemas e de propor abordagens consistentes e atuais, como se constata em análises contemporâneas sobre mídia, o corpo, a arte, a política cultural e, principalmente, o cinema.
The correlation between sarcopaenia and post-transjugular intrahepatic portosystemic shunt hepatic encephalopathy: a single-institution review
Authors: Farkas Zahava C. , Rashid Tariq , Chen Ying Sharon , Siddiqui Tausif Mohamed , Yandrapalli Srikanth , Frager Shalom , Aronow Wilbert , Bodin Roxana , Maddineni Shekher
Published: June 2019

Introduction

Sarcopaenia, or muscle wasting, can be used to objectively quantify malnutrition in cirrhotic patients.

Material and methods

In this retrospective study, a list of all patients who underwent transjugular intrahepatic portosystemic shunt (TIPS) procedure at Westchester Medical Centre from September 2009 to July 2018 was obtained, and individual chart reviews were performed.

Results

In total, 90 charts were reviewed. Fifty-six patients satisfied our inclusion criteria. Using PMA cut-off values determined in prior studies, we found that 50 of the 56 patients in our study were sarcopaenic. The majority of the patients were male (n = 45). The most common aetiology of cirrhosis was alcoholic cirrhosis (n = 27), followed by viral hepatitis (n = 10), and the most common indication for TIPS was refractory ascites (n = 34). The mean age in the sarcopaenic group was 60.1 years compared to 57.4 years in the non-sarcopaenic group. Mean MELD-Na scores and albumin levels were comparable in both groups. Only one patient was deceased at 6 months post-TIPS. Of the 56 patients included, 18 developed clinically significant hepatic encephalopathy within 6 months of their TIPS procedure. All 18 patients belonged to the sarcopaenic group; 6 patients were not sarcopaenic, and none of them were noted to develop HE within 6 months of their TIPS (p = 0.074)

Conclusions

Based on our results, we concluded that sarcopaenia correlates with the development of hepatic encephalopathy within 6 months of a TIPS procedure; however, the results did not reach statistical significance.