Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelagem linguístico-computacional de metonímias na base de conhecimento multilíngue (m.knob) da FrameNet Brasil

Segundo pesquisadores da Linguistica Cognitiva, a metonimia e um dos fenomenos que atuam como base da conceptualizacao humana e revelam formas de funcionamento da cognicao. (LAKOFF, 1989; KOVECSES & RADDEN, 1999; BARCELONA, 2003). Por outro lado, nao ha clareza quanto a delimitacao do conceito, pois a riqueza de uso sinaliza diferentes principios em sua formacao. Nesta tese, o potencial da Semântica de Frames (FILLMORE, 1982) e da FrameNet (RUPPENHOFER ET AL, 2016) no reconhecimento lexicografico de metonimias e colocado em destaque para a proposicao de modelo linguistico-computacional na Base de Conhecimento Multilingue da FrameNet Brasil, m.knob. A pesquisa investe em estudo da literatura acerca do fenomeno com o objetivo de validar a teoria existente na proposicao de recurso de finalidade pratica. Para alcancar tal objetivo, o trabalho tambem explora parte da modelagem da metonimia proposta por Ibanez & Masegosa (2014). Os autores utilizam os principios da Linguistica Cognitiva, incluindo a modelagem por frames e o uso de corpus. A metodologia utilizada na proposicao do nosso modelo inclui teste de reconhecimento metonimico realizado durante Oficina de Anotacao mediada por Computador com alunos da Faculdade de Letras da UFJF e posterior analise de tais dados produzidos via FrameNet Brasil. A conclusao do trabalho amplia as relacoes entre frames e elementos de frame previstas pela FrameNet para uso do m.knob. Futuras pesquisas sugerem o estudo da validade de tais relacoes para o banco de dados da dominio generico da FrameNet Brasil.
How to Archive an Event: Reflections on the Social Repository of Ireland

Reflecting on a feasibility study into archiving social media, this article traces how “events” are defined in various domains and contexts, and employs case studies to analyze key relationships between hashtags and events to provide a critical analysis of how archival events can be constructed out of social events. It provides an overview of the archival and curatorial considerations involved in defining and preserving a social media event, and outlines the technologies developed for the process of collecting, annotating, and preserving social media events. Overall, the article endeavors to reveal how pragmatic considerations, computational approaches and curatorial perspectives shape digital archives and historical narratives. Color versions of one or more of the figures in the article can be found online at www.tandfonline. com/rinn.
The interaction of individual values and sticky formal institutions in economic development

This paper intends to take a step towards improving our understanding of how culture affects economic development. Relying on the theory of institutional stickiness (Boettke et al. 2008), the main hypothesis is that the "deep" cultural layer (proxied by individual values) interacts with the stickiest formal institutions in development, which leads to a very special "stuck-together" phenomenon. The aim of the paper is to investigate this specific effect empirically, and show the genuinely unique role of individual values in development. The cross-country empirical analyses provide details as regards the "stuck-togetherness" of values and institutions. Besides establishing that both values and sticky formal institutions are strong determinants of long-run income, I find that the "stuck-togetherness" of values and institutions acts as a separate factor in development, and, in addition, amplifies the impact of values on development in the good-institution countries. Another result is that better formal institutions increase the marginal income-increasing effect of those individual values that are favorable to development. The results seem to be very robust.
Expert assessment of organizational cybersecurity programs and development of vignettes to measure cybersecurity countermeasures awareness

As organizational reliance on technology increases, cybersecurity attacks become more attractive to attackers and increasingly devastating to organizations. Due to lacking knowledge and skills, humans are often considered the most susceptible threat vector for cyber attacks. Previous studies in information systems (IS) literature have confirmed awareness techniques to be the first step in increasing employee cybersecurity-related knowledge, promoting securityconscious decision-making, and the prevention of naive IS security behaviors. While training initiatives exist within many organizations, there appears to be a limited number of empirical research studies that focus on what security education, training, and awareness (SETA) programs should encompass. This includes topics to be covered, the most valuable method for delivery, and to what degree these factors play a part in the IS security practice of employees. The aim of this study was to use subject-matter experts (SMEs) to validate: 1) the key topics needed for two SETA program types (typical & socio-technical), 2) the measurement criteria for employees’ cybersecurity countermeasures awareness (CCA), 3) weights for the three CCA categories (awareness of policy, SETA, & monitoring) in the overall CCA measure, and 4) two SETA programs content with integrated vignette-based assessments for CCA. A Delphi methodology was utilized to gather feedback from 21 SMEs regarding cybersecurity topics for organizational SETA programs, validation of SETA training content, and to develop a vignettebased measure of CCA. Results show that awareness of the organizational cybersecurity policy was the most important category for the overall CCA measure with 41%, followed by awareness of SETA program content, with 34%, while awareness of monitoring was 25%. The paper concludes with discussions and future research agenda.
Culture as Mediator for what is Ready-to-hand: A Phenomenological Exploration of Semantic Networks

Upon what philosophical foundation are semantic network graphs based? Does this foundation allow for the legitimization of other semantic networks and ontological diversity? How can we design our computational and informational systems to accommodate this ontological diversity and the variety of semantic networks? Are semantic networks segmentations of larger semantic landscapes? This paper explores semantic networks from a Heideggerian existentialist and phenomenological perspective. The analysis presented uses cultural schema theory to bridge the syntactic and lexical elements to the semantic and conceptual dimensions of semantic network graphs and offers reasons why the viability of such graphs as they are currently constructed are insufficient for creating semantic interoperability for our information technologies. Reconceptualizing semantic networks as cultural landscapes offers us insight as to where our understanding of semantic networks falters and what we might do to improve them.
An Efficient Multicast Routing Protocol With Quality Of Service For Mobile Ad-Hoc Networks.

Mobile ad-hoc network (MANETs) are networks consist of a group of mobile nodes autonomously establishing connectivity via multi-hop wireless communication without any pre-infrastructure or central administration. Multicasting communication serves as one critical operation to support many applications of Ad-hoc networks that achieve group communication rather than pairs of individuals. Multicast routing protocols becomes increasingly important in mobile Ad hoc networks because they effectively coordinate a set of nodes. Also, it provides efficient routing for multimedia applications such as video conferences, military, rescue operations and multi-party games. Such applications are highly demand for Quality of Service (QoS), which makes an efficient QoS multicast routing protocols is very important. The limitations of wireless networks make it necessary to develop a QoS multicast routing protocol that supports multiple QoS constrains with rational overhead. Recently, the availability of inexpensive, less power and small GPS receivers realizes the positionbased multicast routing and improves routes stability. In this work we proposed a model that searches for QoS paths from a single source to a set of destinations. The physical area is partitioned into equal size hexagonal cells and a leader and backup leader nodes is elected to maintain up-to-date information about the network topology. The election process considers several metrics including node mobility, energy and memory. The multicast groups are separated into segments based on their geographical positions and each multicast group has a coordinator. The proposed model is expected to be scalable for large area networks with large number of multicast members. Also, it is expected to achieve a significant reduction in packet and processing overhead.
Treasury Rates No Longer Predict Returns: A Reappraisal of Breen, Glosten and Jagannathan (1989)

Breen, Glosten, and Jagannathan (1989) show that the negative relation between excess stock returns and Treasury bill rates is economically important. From 1954 to 1986, the predictive ability of interest rates facilitated a trading strategy that generated average returns at least on par with a buy-and-hold market investment but with significantly lower risk. The services of a portfolio manager using this predictive model to invest justified a management fee of nearly 2% per annum. Using currently-available data, we can nearly perfectly replicate Breen et al.’s (1989) key findings in sample. However, the success of Treasury bill rates as a predictor of equity returns appears to be specific to the time period studied. When the same methodology is applied out of sample from 1987 to 2018, there is little statistical or economic evidence of predictability. Additional out-of-sample analysis of G20 countries shows only sporadic support for the notion that interest rates predict equity returns. JEL Classification: G11; G12; G14
Effects of avian flu on the consumption of chicken and egg among University of Ilorin staff, Ilorin, Nigeria

The dissemination and maintenance of AIV in wild birds is important for understanding the factors that contribute to transmission of AIV from wild birds to poultry. This study examined the impact of Avian flu on the consumption of chicken and egg among university of Ilorin staff, in Ilorin, Kwara state, Nigeria. A survey was conducted by interviewing 110 University of Ilorin staff. Information was collected on the same economic characteristics of the respondents, income and consumption of chicken and eggs. The data were analyzed using descriptive statistics. The results revealed that Avian flu outbreaks and spread in Nigeria have caused serious threat to the poultry industry, the food security and livelihoods of urban communities. It was also noted that there was a decline in consumers’ confidence in poultry product (e.g chicken and egg) as indicated by the respondents. Perception of people about avian flu pandemic indicates 90% of respondents perceived it as deadly, incurable and easily transmissible disease and that was why 77.27% of the sampled households were found to have stopped or drastically reduced the consumption of poultry products for the fear of being infected by the disease. The research conclude that since most of people perceived avian influenza as deadly disease, government enact measures to prevent the virus from spreading and to reduce the risk of infection and ban on transporting poultry in the area where bird flu has occurred. Keywords: avian virus, wild birds, domestic poultry, egg, chicken
Combining phrase-based and tree-to-tree translation

We present a novel approach to multi-engine machine translation, using a featurebased classification algorithm. Instead of just using language models, translation models, or internal confidence scores, we sought out other features that could be used to determine which of two translations to select. We combined the outputs from a phrase-based system, Moses [Koehn et al., 2007] and a tree-to-tree system [Cowan et al., 2006]. Our main result is a 0.3 to 0.4 improvement in BLEU score over the best single system used, while also improving fluency and adequacy judgements. In addition, we used the same setup to directly predict which sentences would be judged by humans to be more fluent and more adequate. In those domains, we predicted the better sentence 6% to 7% more often than a baseline of always choosing the single best system. Thesis Supervisor: Michael Collins Title: Associate Professor of Computer Science
The Eurozone crisis and European integration: 'new intergovernmentalism' as a valid theory

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. The Eurozone crisis and European integration: ’new intergovernmentalism’ as a valid theory Christian Lequesne
8 - Parallélisation de l'algorithme du K-means sur un système reconfigurable : Application aux images hyper-spectrales

L'article presente une architecture parallele specialisee pour l'algorithme du K-means, un algorithme de classification qui regroupe les objets de maniere non hierarchique. Nous proposons une mise en oeuvre sur un systeme reconfigurable compose d'un PC couple a une carte FPGA par l'intermediaire de son bus d'entrees/sorties. L'experimentation porte sur la segmentation d'images hyper-spectrales et demontre que les temps de traitement peuvent etre reduits de quelques heures a quelques minutes. Cette realisation met egalement en evidence l'influence de la qualite de la liaison entre le processeur et la carte FPGA sur les performances globales du systeme.
Personalized Search Ranking Based on Semantic Tag

The resource getting core of knowledge Service System is the search engine, but the most studies only put attention to improve efficiency, so as to mass resources retrieval results still allows the user to face "cognitive overload" problem when the user to use searcher to get knowledge, how to provide personalized search results become a research focus. This paper provide a new personalized search ranking method, which use semantic tag and user profile to personalized the search results. The experimental results indicate that the method is effective.
ENHANCED REPLICA SELECTION TECHNIQUE FOR BINDING REPLICA SITES IN DATA GRIDS

Data Grid technology is developed to share data across many sites in different geographical locations primarily to improve data access and transfer performance. When different sites hold a copy of the files, there are significant benefits realized when selecting the best set of sites that cooperate to speed up the file transfer process. In this paper, we describe a new optimization technique used to reduce total file transferring time by applying a Pincer-Search algorithm of Data mining approach to discover associated distributed replicas sites to share the transferring file process. Keywords— Replica Selection Technique, Data Grids,
Data-driven learning for beginners: The case of German verb-preposition collocations

Abstract Research on data-driven learning (DDL), or teaching and learning languages with the help of electronic corpora, has shown that it is both effective and efficient. Nevertheless, DDL is still far from common pedagogical practice, not least because the empirical research on it is still limited and narrowly focused. This study addresses some gaps in that research by exploring the effectiveness of DDL for teaching low-proficiency learners lexico-grammatical constructions (verb-preposition collocations) in German, a morphologically rich language. The study employed a pretest-posttest design with intact third- and fourth-semester classes for German as a foreign language at a US university. The same collocations were taught to each group during one class period, with one group at each course level taking a paper-based DDL lesson with concordance lines from a native-speaker corpus and the other one taking a traditional rule-based lesson with textbook exercises. These constructions were new to third-semester students, whereas fourth-semester students had been exposed to them in the previous semester. The results show that, whereas the DDL method and the traditional method were both effective and resulted in lexical and grammatical gains, DDL was more effective for teaching new collocations. The study thus argues in favor of using paper-based DDL in the classroom at lower proficiency levels and for languages other than English.
Enhancing the Usability of Complex Structured Data by Supporting Keyword Searches

As pointed out in the keynote speech by H. V. Jagadish in SIGMOD'07, and also commonly agreed in the database community, the usability of structured data by casual users is as important as the data management systems' functionalities. A major hardness of using structured data is the problem of easily retrieving information from them given a user's information needs. Learning and using a structured query language (e.g., SQL and XQuery) is overwhelmingly burdensome for most users, as not only are these languages sophisticated, but the users need to know the data schema. Keyword search provides us with opportunities to conveniently access structured data and potentially significantly enhances the usability of structured data. However, processing keyword search on structured data is challenging due to various types of ambiguities such as structural ambiguity (keyword queries have no structure), keyword ambiguity (the keywords may not be accurate), user preference ambiguity (the user may have implicit preferences that are not indicated in the query), as well as the efficiency challenges due to large search space. This dissertation performs an expansive study on keyword search processing techniques as a gateway for users to access structured data and retrieve desired information. The key issues addressed include: (1) Resolving structural ambiguities in keyword queries by generating meaningful query results, which involves identifying relevant keyword matches, identifying return information, composing query results based on relevant matches and return information. (2) Resolving structural, keyword and user preference ambiguities through result analysis, including snippet generation, result differentiation, result clustering, result summarization/query expansion, etc. (3) Resolving the efficiency challenge in processing keyword search on structured data by utilizing and efficiently maintaining materialized views. These works deliver significant technical contributions towards building a full-fledged search engine for structured data.
Membership of Chinese Farmer Specialized Cooperatives and Direct Subsidies for Farmer Households: A Multi-Province Data Study

The introduction of direct subsidies to farming households and the development of farmer cooperatives has provided two important approaches to China’s twenty-first century food policy challenges. However, research undertaken largely separates and focuses on subsidies or cooperatives. This neglects their interaction and complementarities. This article seeks to rectify this omission using a survey from 35 farmer specialized cooperatives (FSCs) and 561 farming households in 16 provinces, based on a two-stage treatment effect model. The findings suggest FSCs have become important organizations that improve farmers’ net income. Moreover, usage of agricultural machinery and direct subsidies also result in higher net income, though they have little impact on farmers’ machinery investment. The results provide an evidence source that contributes to debate concerning government subsidy policy. Policy may act more like an income transfer program, since it has little impact on farmers’ investment in agriculture. The study also highlights that there are complementary effects between FSCs and direct subsidies, and that China’s cooperative policy integrated with direct subsidies could be progressive.
Effects of Social Status and Temperament of Children on the Marital Status of Chinese Post-1980s Group

The temperament of children and level of social support for couples often significantly impact marital status. This article will attempt to explain these phenomena through the use of questionnaires distributed among families in the Dalian city. This random sampling questionnaire will explore the relationships among post-1980s marriages in the areas of social support and the effects of temperament of children upon the marital relationship. The post-1980s group will be defined, differences between this group and previous generations will be examined, and the societal impact of this group will be explored. The aim of the authors through this study is to improve the marital quality of the post-1980s marital group and provide harmony and stability in the further development of society.
Plagiarism- history, detection and prevention

Little significance is given about “plagiarism” at the institutional level and hence, students and fre sh staff sometime oversee this aspect. Ironically, many of t he research scholars commit plagiarism without thei r knowledge. This manuscript gives an in depth perspe ctive about plagiarism, how we can avoid and publis h ones article safely. Although Sir William Shakespea re first used the word plagiarism verbatim, oxford dictionary gives credit to Ben Jonson who used the word in print. Although much electronic soft wares are available to detect plagiarized material, it can de tect only word to word similarities.