Miracle-dz/UniFAR-FTUs huggingface dataset:
A Revolutionary Approach to Cloud Computing, Security and its User Compliance

Objective: This paper focus on the ways to initiate service providers to create safer clouds by simply securing cloud computing servers, inputting a security scanner before saving onto a cloud and finally before accessing a cloud, the use of a password or key to enter your cloud account. Methods: This paper is an extensive research in the cloud security through password might be advanced such as bio-metric scanners, finger-print scanners already used on most mobile devices and is found to be a safe way to store data on a device like a hard-drive. The major complexity of cloud computing is security privacy. Security compliances are like protection of data, and check the usage and applicability of cloud computing providers. Findings: The main theme of cloud computing has various courageous for the users and this facility providers regarding security. To counter these problems, such as lack of network, this disrupts a server linking onto a cloud computing server because of lack of network coverage etc. This can cause a cloud to lose all of its information and sadly its stored data as a cloud server might depict a system crashing, (which can cause all stored data to delete, if the cloud user has not saved its data onto the cloud server) the best way is if the service providers of a cloud and also its users work with each other to achieve ultimate security. The best thing for a user is to report issues regarding cloud to their service providers (cloud and also their internet providers). The solution for network availability is simply the creation and viability of web facility to cloud users. Improvements: Web users and data facility providers require to examine the way to control issues and apply various techniques to prevent loss of signal, such as improve their coverage in areas hard to reach and provide more concise network signal coverage in urban areas. In fact, a signal enhancer has been hard to reach areas such as rural areas. This requires an advanced algorithm from computer programmers.
Position control of permanent magnet synchronous motors without position and speed sensors

This paper presents a new control strategy for a permanent magnet synchronous motor drive that provides high-performance position control without position and speed sensors. The rotor position is estimated in the form of trigonometric functions by calculating the flux linkages which is obtained from the integrator using the estimation error compensator. Due to the compensator the estimated flux linkages nearly equal to the actual flux linkages, therefore, position and speed sensorless position control can be achieved well. The theoretical developments and simulation results show that the proposed control technique of permanent magnet synchronous motor gives a good performance for tracking applications.
INNOVACIÓN SOCIAL COMO UN PROCESO PARA SUPERAR LOS VACÍOS INSTITUCIONALES: UNA VISIÓN MULTIDIMENSIONAL

Objetivo: El objetivo de este trabajo es proponer un marco teorico para explorar la innovacion social como una respuesta a los vacios institucionales en un analisis multidimensional. Originalidad/laguna/relevancia/implicaciones: Acercar la innovacion social de la lente teorica de la teoria institucional, en una perspectiva de los vacios institucionales. Una de las brechas es proponer una perspectiva multidimensional que se producira a traves del examen de multiples actores en diferentes entornos institucionales. Principales aspectos metodologicos: Para apoyar el framework se desarrollaron seis proposiciones teoricas identificadas en una revision sistematica de la literatura, con datos de la base Web of Knowledge. Sintesis de los principales resultados: Los resultados indican dimensiones que pueden ser investigados en iniciativas de innovacion social que llenan los vacios institucionales. Se encontro las siguientes dimensiones: dimensiones de los contextos institucionales (que tiene en cuenta los diferentes contextos y la interferencia de la politica, la educacion/trabajo, el sistema financiero y los sistemas culturales); dimension de multiples actores (dando voz a los diferentes actores que tienen objetivos complementarios); dimension de los pilares institucionales (cognitiva, normativa y reguladora); y, las dimensiones de la innovacion social (modificar/transformar la necesidad social; solucion innovadora, la aplicacion de la innovacion social, actores y stakeholders; y, los resultados efectivos). Principales consideraciones/conclusiones: Este framework se puede testar en estudios comparativos entre paises con niveles distintos de desarrollo. Se identifico la importancia de analizar los diferentes contextos sociales y los diversos actores que participan en iniciativas de innovacion social. Ademas, se identifico nuevas areas que influyen en la innovacion social y se propone nuevas posibilidades para investigar este campo.
Novas formas de ataques de distinção a cifradores: caminhos para o futuro

RESUMO A identificação do algoritmo criptográfico partindo do conhecimento, unicamente, da cifra por ele gerada é uma aspiração de criptanalistas e uma preocupação que atormenta os projetistas desse tipo de algoritmo, destinados a assegurar o sigilo das informações. Embora a identificação do algoritmo cifrador, por si só, não venha a revelar a informação embutida na cifra, ou a chave particular usada na transformação, ela evidencia a existência de uma “assinatura”, isto é, um padrão que caracteriza o algoritmo usado. E o domínio da elaboração desse padrão poderá acarretar, mais cedo ou mais tarde, o desvendamento de fraquezas e a possível quebra do algoritmo. O avanço das pesquisas em reconhecimento de padrões, largamente usado para classificação e recuperação de informações, fornece um novo caminho para a busca de padrões em criptogramas, permitindo correlacioná-los com os possíveis parâmetros que os originaram, tais como o algoritmo criptográfico ou, até mesmo, a particular chave usada no processo. Os promissores resultados, preliminarmente obtidos, e a ausência de relatos na literatura especializada em criptologia permitem acreditar nesses novos caminhos para o futuro da criptanálise: o emprego de ferramentas de inteligência artificial, com apurada sensibilidade para pesquisar e identificar padrões complexos.
Entrepreneurs’ Legal Status Choices and the C Corporation Survival Penalty

Foundational to the American Dream is the ability to easily and rapidly start a new business. Over the past quarter century, the introduction of the limited liability company (LLC) dramatically shifted and complicated the choice-of-legal-status calculus for entrepreneurs, and in its wake a consensus against the use of traditional C corporations by closely-held firms emerged. The C corporation, scholars argued, had fatal drawbacks despite its simplicity: tax disadvantages as well as governance inflexibility. Due to historically limited sources of data, there has been little empirical research on choice-of-entity generally and none that explores the anti-C corporation thesis in particular. Have C corporations underperformed as compared to similarly situated businesses with alternative legal statuses? This paper exploits a large panel dataset that contains legal status, owner, business, financing, and other firm-specific information collected from an eight-year survey of nearly 5,000 enterprises that were formed in 2004. It presents four main results. First, C corporation status is associated with firm failure rates that are 38 percent higher (significant at 0.1 percent) than those of non-C corporations with similar characteristics. Second, this C corporation survival penalty persists at nearly the same magnitude and significance even after a subset of “anticipated cash-exit” C corporations with (a) venture capital investors or (b) employee stock option plans are separated out. Third, nonwhite and foreign-born entrepreneurs have a significantly higher likelihood of choosing C corporation status. Fourth, within the subset of firms that appear eligible to elect out of the default (Subchapter C) corporate tax classification and into the tax-advantaged Subchapter S classification, nonwhite and older entrepreneurs are significantly more likely to remain in C corporation status. These findings suggest that increasing legal status complexity is unlikely to be neutral from a distributive perspective, and may be disproportionately burdensome for marginalized entrepreneurs.
Macroeconomic Determinants of Stock Returns

Knowledge of sensitivity of stock returns is important for investment, trade and financial issues. It provides insights on stock market dynamics that are useful for policy makers, investors and traders. Using monthly data for the period January 2007 to April 2012, this study examines the stock returns sensitivity to four key macroeconomic variables namely industrial production, exports, exchange rate and interest rate. Index of industrial production and interest rate are significantly related to stock prices in the long run. It implies that growth in the real sector leads to the better returns in the financial sector as well. One possible explanation could be that well-performing real sector builds strong sentiments or expectations in the economy which drive stock returns. It also indicates that stock returns are driven by domestic industrial production rather than exports. The significant interest rate implies that monetary policy measures are crucial in determining the returns in the stock market in India.
A Multidimensional Scaling of Video Games

Ten video games currently used in commercial markets were subjected to pairwise similarity ratings. A multidimensional scaling of the responses revealed three underlying dimensions that accounted for 30% of the variance: destructiveness, dimensionality, and graphic quality. These three dimensions are readily interpretable, can be embedded within personality and motivation literatures, and have application to the design of computer-based training devices.
What's in a Name? That Which We Call Capital Controls

This paper investigates why controls on capital inflows have a bad name, and evoke such visceral opposition, by tracing how capital controls have been used and perceived, since the late nineteenth century. While advanced countries often employed capital controls to tame speculative inflows during the last century, we conjecture that several factors undermined their subsequent use as prudential tools. First, it appears that inflow controls became inextricably linked with outflow controls. The latter have typically been more pervasive, more stringent, and more linked to autocratic regimes, failed macroeconomic policies, and financial crisis-inflow controls are thus damned by this 'guilt by association. ' Second, capital account restrictions often tend to be associated with current account restrictions. As countries aspired to achieve greater trade integration, capital controls came to be viewed as incompatible with free trade. Third, as policy activism of the 1970s gave way to the free market ideology of the 1980s and 1990s, the use of capital controls, even on inflows and for prudential purposes, fell into disrepute.
Evidence for a Semantic Route

Earlier research with monolinguals and bilinguals showed that numbers may be named through both a semantic and a phono- logical route, depending on the number's language and format (Arabic or verbal), task demands, and naming language. The present study investigated the importance of the semantic route for the processing of a third representation of magnitude, namely Roman digits. Using an interference paradigm, we showed that the processing of Roman target digits is influenced by Arabic digit distractors, both in a naming task and a parity judgment task. Roman digits were processed faster if the target and distractor were of the same magnitude. If this was not the case, processing speed slowed down as the numerical distance between target and distractor increased. This strongly suggests that semantic access is mandatory when naming Roman digits. Implications are discussed for the number processing domain and for models of translation in bilinguals.
Investigation of channel characteristic of indoor optical cellular communications network based on visible light

Visible light communication(VLC)is a novel medium-short range optical wireless communication with the advantages of immunity to electromagnetic radiation,low power consumption and high transmission rate.In order to loom the radio frequency crisis,the pioneer VLC technology is chosen to provide a new solution for medium-short wireless communication.Optical cellular network based on VLC is considered carefully as a potential candidate for 5Gmobile applications under indoor conditions.In this paper,ageneralized ray-tracing algorithm is selected to analyze the indoor channel characteristics for optical cellular network.The influence of impulse response,path loss and channel delay is analyzed under conditions of different LED semi-power angles.On the whole,the path loss and channel delay increase as the LED semi-power angle increases.The total path loss and channel delay vary from 32 dB to 36.5dB and 0.4ns to 1.5ns,respectively.
Systematics And The Origin Of Species

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Conceptual Metaphors in Donald Trump’s Political Discourse: Politics Domain (2018)

The object of this research is conceptual metaphors in Donald Trump’s political discourse (2018) whichis aimed at his own positioning as an extremely positive and beneficial president who will “make America great again“. Furthermore, he implicitly and explicitly treats his opponents- the Democrats and previous governments as enemies who are guilty for all the problems and troubles in the USA. Linguistic expressions of the following conceptual metaphors POLITICS IS WAR, POLITICS IS A JOURNEY, POLITICS IS A RACE, POLITICS IS A CRIME, POLITICS IS LOVE, POLITICS IS FRIENDSHIP prevail in Donald Trump’s political discourse. There are some expressions of conceptual metaphors, such as POLITICS IS A GAME, POLITICS IS WATER and POLITICS IS SLEEP in Trump’s political discourse. The majority of these conceptual metaphors are based on the opposition I/we–they, where I stands for the President Trump, we are the members of the Republican Party and they are introduced as the Democrats. Conceptual metaphor has an evaluative potential in Trump’s political discourse. Evaluations, expressed through linguistic metaphors and belonging to the same conceptual metaphor, may differ and acquire both positive and negative connotations.
Extraction semi-supervisée de couples d’antonymes grâce à leur morphologie

Dans le cadre de la recherche sur la représentation du sens en Traitement Automatique des Langues Naturelles, nous nous concentrons sur la construction d’un système capable d’acquérir le sens des mots, et les relations entre ces sens, à partir de dictionnaires à usage humain, du Web ou d’autres ressources lexicales. Pour l’antonymie, il n’existe pas de listes séparant les antonymies complémentaire, scalaire et duale. Nous présentons dans cet article une approche semi-supervisée permettant de construire ces listes. Notre méthode est basée sur les oppositions de nature morphologique qui peuvent exister entre les items lexicaux. À partir d’un premier ensemble de couples antonymes, elle permet non seulement de construire ces listes mais aussi de trouver des oppositions morphologiques. Nous étudions les résultats obtenus par cette méthode. En particulier, nous présentons les oppositions de préfixes ainsi découvertes et leur validité sur le corpus puis nous discutons de la répartition des types d’antonymie en fonction des couples opposés de préfixes.
Dynamic Path Planning Algorithm for a Mobile Robot Based on Visible Space and an Improved Genetic Algorithm

In this study, a series of new concepts and improved genetic operators of a genetic algorithm (GA) was proposed and applied to solve mobile robot (MR) path planning problems in dynamic environments. The proposed method has two superiorities: fast convergence towards the global optimum and the feasibility of all solutions in the population. Path planning aims to provide an optimal path from a starting location to a target location, preventing collision or so-called obstacle avoidance. Although GAs have been widely used in optimization problems and can obtain good results, conventional GAs have some weaknesses in an obstacle environment, such as infeasible paths. The main ideas in this paper are visible space, matrix coding and new mutation operators. In order to demonstrate the superiority of this method, three different obstacle environments have been used and an experiment is conducted. This algorithm is effective in both static and dynamic environments.
La résolution des crises financières internationales : capitaux privés et fonds publics

Au cours de la derniere annee et demie, la Banque d'Angleterre et la Banque du Canada ont mis au point un cadre de resolution des crises financieres internationales qui incite tant les creanciers que les debiteurs a faire face a ces crises tout en preservant l'integrite du systeme financier international. Ce cadre, fonde sur des principes plutot que sur des regles, tente de clarifier les roles et les responsabilites qui incombent respectivement aux secteurs public et prive.
An Approach to a Semantic Recommender System for Digital Libraries

One of the key aims of the so-called Information Society is to facilitate the interconnection and communication of sparse groups of people, which can collaborate with each other by exchanging on-line information from distributed sources (Angehrn et al., 2008). In specific contexts, such as in the research and scholarly domain, where many times work is developed relaying on team-based research (Borgman, 2007), finding colleagues and associates to build collaborative relationships has become a crucial matter. Actually, this is one of the pillars of the conduct of research and production of scholarship (Palmer et al., 2009). Nevertheless, this task can be specially difficult when the research activity implies opening new multidisciplinary lines of investigation, since it is hard to know what’s hot and who’s in in a certain domain out of that of this specialization (even if both areas are related or close to each other).
MAPEAMENTO DA PESQUISA SOBRE DISCLOSURE AMBIENTAL VOLUNTÁRIO NO CENÁRIO BRASILEIRO: UMA REVISÃO DOS ARTIGOS PUBLICADOS EM PERIÓDICOS NACIONAIS NO PERÍODO DE 2004 A 2015

O objetivo desse trabalho e apresentar uma revisao da producao cientifica nacional acerca do disclosure voluntario ambiental. A analise realizada permitiu identificar os principais procedimentos metodologicos, a autoria dos artigos e as Instituicoes de Ensino Superior que a vinculam, bem como reportar os principais resultados relacionados aos determinantes da evidenciacao ambiental no Brasil. A pesquisa foi realizada a partir de uma amostra de 64 artigos academicos coletados de 26 periodicos de Contabilidade ou areas afins (Administracao, Financas, Economia, Negocios e Gestao Ambiental), publicados em portugues e disponibilizados pelo Portal de Periodicos CAPES, de 2004 ate 2015. No que se refere aos determinantes da evidenciacao ambiental no Brasil, os principais resultados indicaram que o tamanho continua sendo a variavel explicativa mais significante. Observou-se tambem que, ate 2012, 35 pesquisas foram qualitativas, porem, a partir dessa data, ocorreu uma inversao, houve incremento na abordagem quantitativa ante a qualitativa, somaram-se, entao, 29 quantitativos e 15 qualitativos.
Experimental Study on Finding Audio-visual Association by Maximizing Mutual Information

In this thesis, the fusion of audio and visual signal are done by considering one camera and one microphone. Although there are many approaches for audiovisual fusion, but still it is an open problem. Here, localizing and recognizing the speaker in a video by maximizing the mutual information occuring from audiovisual scene. Experiment is done using a method in which the arrival of audio and visual signals from a unique source are detected using a signal-level fusion technique. The information theoretic measure of audio-visual correspondence using probabilistic multi-modal generation statistical implicit model given in [1] is used here. In the used method non-parametric statistical density is able to give better result for characterizing the mutual information between signals from different domains by following some constraint for which entropy is maximized. By maximizing the above mutual information between different pairs of signals, it is possible to identify which person is speaking a given utterance, and we can verify whether the audio is associated with that visual seen or not. In doing so, no assumption is made about user appearance or speech of person. Further more this method doesn’t required any training of corpuses. In this thesis experimental results are demonstrated using CUAVE database.
Answer Extracting for Chinese Question-Answering System Based on Latent Semantic Analysis

When extracting answers in Chinese question-answering system,synonymy will cause to lose several correct answers,and polysemy will cause to extract wrong answers.In order to solve these problems,this paper proposes a method to calculate similarity between question and sentence based on Latent Semantic Analysis(LSA). This method represents the question and sentence with space vector model,statistically analyzes the abundant question-answering sentence pair corpus with the help of latent senmatic analysis theory,and constructs a latent word-sentence semantic space,which gets rids of the correlativity between word.And then similarity calculation between question and sentence is implemented in this semantic space.So the question of synonymy and polysemy is solved effectively.Finally,combining question type and similarity between question and sentence,the experiment on extracting sentence as answer for Chinese factoid question is done.The MRR value with LSA is 0.47,which is better than VSM obviously.The results show that this method makes a very better effect.
SODA: A Service Oriented Data Acquisition Framework

In this chapter, the authors present Service Oriented Data Acquisition (SODA), a service-deployable open-source platform for retrieving and dynamically aggregating information extraction and knowledge acquisition software components. The motivation in creating such a system came from the observed gap between the large availability of Information Analysis components for different frameworks (such as UIMA [Ferrucci & Lally, 2004] and GATE [Cunningham, Maynard, Bontcheva, & Tablan, 2002]) and the difficulties in discovering, retrieving, integrating these components, and embedding them into software systems for knowledge feeding. By analyzing the research area, the authors noticed that there are a few solutions for this problem, though they all lack in assuring a great level of platform independence, collaboration, flexibility, and most of all, openness. The solution that they propose is targeted to different kinds of users, from application developers, benefiting from a semantic repository of inter-connectable information extraction and ontology feeding components, to final users, who can plug and play these components through SODA compliant clients. DOI: 10.4018/978-1-4666-0188-8.ch003