Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive control of time-delay chaotic systems based on regularized neural network model

The control of the time-delay chaotic system is studied when the system model,the location of the unstable fixed point and the local dynamics at the point are unknown.A neural predictive control method is proposed to control the chaotic motion in an unknown time-delay chaotic system onto the unstable fixed point.The proposed control system includes a watcher,a regularized neural predictor and an on-line trained linear neural predictive controller.We analyze the stability of the control system.The proposed algorithm is simple and its convergence speed is higher than that of existing similar algorithm.The simulations demonstrate the effectiveness of the control method.
Decomposition Of Multiple Inheritance DAGs ForObject-oriented Software Measurement

Software metrics are widely used to measure software complexity and assure software quality. However, research in the field of the software complexity measurement of a class hierarchy has not yet been carefully studied. In this paper, we introduce a novel factor named unit repeated inheritance (URI) and an important method named inheritance level technique (ILT) method to realize and measure the object-oriented software complexity of a class hierarchy. The approach is based on the graph-theoretical model for measuring the hierarchical complexity in inheritance relations. The proposed metrics extraction shows that inheritance has a close relation to the object-oriented software measurement and reveals that overuse of the repeated (multiple) inheritance will increase software complexity and be prone to implicit software errors.
INTERSEÇÕES ENTRE NOVOS MODELOS DE APRESENTAÇÃO DE ARTIGOS CIENTÍFICOS E LETRAMENTOS ACADÊMICOS INTERSECTIONS BETWEEN NEW MODELS OF PAPERS PRESENTATION AND AN ACADEMIC LITERACIES

RESUMO: Neste artigo busco discutir, sob a luz do campo teorico-epistemologico dos Letramentos Academicos, sobre implicacoes de tecnologias digitais para modelos de apresentacao de artigos cientificos nos ultimos anos. Trata-se de suscitar reflexoes sobre possiveis intersecoes entre novas formas de publicacao e a esfera academica, considerando quais elementos seriam necessarios de se trazer a tona a partir de uma visao sociocultural dos letramentos. Para tanto, focalizo a discussao na area da Linguistica Aplicada.PALAVRAS-CHAVE: Artigos Cientificos. Novos Modelos de Apresentacao. Tecnologias digitais. ABSTRACT: In this article we discuss, based on theoretical and epistemological field of Academic Literacies, implications of digital technologies on scientific articles presenting models in recent years. We desire to raise reflections about possible intersections between new forms of publication and the academic sphere, focusing on the elements needed to be considered on a sociocultural view of literacies, based on Applied Linguistics studies.KEYWORDS: Scientific Articles. New Models of Presentation. Digital Technologies.
Career and Family: The Role of Social Support

Balancing a successful career with a family life can be challenging and impact on a person's satisfaction in their work and family roles, affecting not only the person but their partner and children as well. This study examined the influence of social support from family and work associates on the role satisfaction of female and male managers, and their children's adjustment. Participants were 96 male and 100 female managers and their families. The first aim of this study was to examine the relative importance of work and family support for satisfaction in the roles of paid worker, spouse and parent. Findings showed that social support had a domain-specific effect, with work support associated with job satisfaction, and family support associated with marital and parenting satisfaction. The second aim of the study was to evaluate gender differences in perceived social support, and the association of support with role satisfaction. Although there were considerable differences in the managers' work and family arrangements, female managers and male managers reported receiving similar levels of work and family support, and the strength of the relationship between social support and role satisfaction was similar for both genders. The final aim of the study was to examine the role of social support in the larger family system, as research has mainly focussed on the influence of social support on the support recipient. This study extended research on the relationship between social support and role satisfaction, by showing that family support was not only associated to managers' role satisfaction, but also to managers' interactions with their children, and their children's adjustment. Work support on the other hand, was related to job satisfaction, but not to parent-child interactions and child adjustment. The findings from this study could inform clinicians' treatment of families with children experiencing problems by addressing the relationship of family support with child adjustment. Findings could also inform governments' work and family agendas, which generally focus on providing assistance to employers with the development of workplace policies to improve work-family balance. Governments should also promote the role of family support, and provide information for families on how to arrange household and childcare tasks and provide support to each other to facilitate work-family balance. Furthermore, the current study showed that work support is positively related to employee's job satisfaction, which is important for employees as well as employers. Employers can promote supportive relationships among employees through establishing networking opportunities for their employees, such as breakfast meetings, workshops and seminars, and business planning days. This study showed that some people can have it all - a satisfying and successful career, a happy marriage, and fulfilling parenthood - and social support appears to play a significant role in achieving this.
Merging Similarity and Trust Based Social Networks to Enhance the Accuracy of Trust-Aware Recommender Systems

In recent years, collaborative filtering (CF) methods are important and widely accepted techniques are available for recommender systems. One of these techniques is user based that produces useful recommendations based on the similarity by the ratings of likeminded users. However, these systems suffer from several inherent shortcomings such as data sparsity and cold start problems. With the development of social network, trust measure introduced as a new approach to overcome the CF problems. On the other hand, trust-aware recommender systems are techniques to make use of trust statements and user personal data in social networks to improve the accuracy of rating prediction for cold start users. In addition, clustering-based recommender systems are other kind of systems that to be efficient and scalable to large-scale data sets but these systems suffer from relatively low accuracy and especially coverage too. Therefore to address these problems, in this paper we proposed a multi-view clustering based on Euclidean distance by combination both similarity view and trust relationships that is including explicit and implicit trusts. In order to analyze the effectiveness of the proposed method we used the real-world FilmTrust dataset. The experimental results on this data sets show that our approach can effectively improve both the accuracy and especially coverage of recommendations as well as in the cold start problem.
Non-Cryptography Authentication for Wireless Communications Based on Two Uncorrelated Attributes

Recently in modern wireless systems, the physical-layer authentication has been proved to be a viable technique that can be combined with the higherlayer cryptographic to enhance the communication security. The existing physical-layer authentication schemes are single-variable based to verify transmitter's identity. In fact, these kind of techniques are not quite reliable as the obtained information based on one characteristic is relatively more vulnerable to various interferences. Herein, a novel two-variable cross-layer authentication scheme is proposed. In particular, the proposed scheme provides a novel solution to detect spoofing attacks based on the time of arrival (TOA) as well as the received channel power indicator (RCPI). The TOA and RCPI are considered as two featured sample variables. Consequently, the legality of the both variables are also validated and a decision rule is provided to accurately authenticate the transmitter's identity according to the two observed characteristics' information. Eventually, the proposed scheme shows an improved spoofing detection capability than the single-variable authentication can provide for the IEEE 802.11 WLANs. It is noteworthy that the proposed technique can be applied to any other wireless system standards.
Memorias y violencias en Medellín

Este ensayo reflexiona sobre la oportunidad y las posibles maneras de ampliar el trabajo de memoria histórica de las víctimas del conflicto armado en Medellín, con investigaciones sobre las víctimas de otras violencias en la ciudad, en particular las del crimen organizado y mafioso, fuertemente relacionado con el tráfico de cocaína. El autor argumenta que sin incluir aquellas otras víctimas en los trabajos de memoria histórica es imposible comprehender la tragedia de Medellín en su totalidad. El autor sugiere varias maneras de abordar esta tarea de visibilización de aquellas otras víctimas.
Measurement of emissions from a passenger truck fueled with biodiesel from different feedstocks.

Biodiesel has generated increased interest recently as an alternative to petroleum-derived diesel. Due to its high oxygen content, biodiesel typically burns more completely than petroleum diesel, and thus has lower emissions of hydrocarbons (HC), carbon monoxide (CO), and particulate matter (PM). However, biodiesel may increase or decrease nitrogen oxide (NOx) and carbon dioxide (CO2) emissions, depending on biodiesel feedstock, engine type, and test cycle. The purpose of this study was to compare emissions from 20% blends of biodiesel made from 4 feedstocks (soybean oil, canola oil, waste cooking oil, and animal fat) with emissions from ultra low sulfur diesel (ULSD). Emissions of NOx and CO2 were made under real-world driving conditions using a Horiba On-Board Measurement System OBS-1300 on a highway route and arterial route; emissions of NOx, CO2, HC, CO, and PM were measured in a controlled setting using a chassis dynamometer with Urban Dynamometer Drive Schedule. Dynamometer test results showed statistically significant lower emissions of HC, CO, and PM from all B20 blends compared to ULSD. For CO2, both on-road testing (arterial, highway, and idling) and dynamometer testing showed no statistically significant difference in emissions among the B20 blends and ULSD. For NOx, dynamometer testing showed only B20 from soybean oil to have statistically significant higher emissions. This is generally consistent with the on-road testing, which showed no statistically significant difference in NOx emissions between ULSD and the B20 blends.
Relationship between Human Resource Practices and Talent Retention among Professional and Management Staff of a Public University in Malaysia

The main objective of this study is to examine the relationship between human resource practices and talent retention and at the same time determine the dominant factor that contributes to talent retention among the professional and management staff in Uni A. Descriptive and correlational methods were used as the study design and a total of 381 of professional and management staffs was selected using non-proportionate simple random sampling method. Self-administered questionnaires were distributed and 282 (74%) responses were collected. Finding of study indicates that human resource practice that consists of eight variables correlates significantly with retention. Organizational work environment was found to have the strongest correlation with retention followed by organizational leadership, and person-organization fit, and teamwork. Second, the result also confirms that there is a significant influence of human resource practice on talent retention. Apparently, work environment was found to be the dominant human resource practice in retaining talent in Uni A and it also exposes that organizational commitment model was found to be more effective to measure the influence of HRP on retention as compared to intent to stay model. Thus, from the study it can be concluded that work environment is the key human resource practices in retaining talent in Uni A followed by organizational leadership and person-organization fit. Ignoring this relationship will be a risk to talent retention in Uni A and affecting university’s function and performance. It is recommended that the university to invest money and effort as to implement a structured retention management strategy in order to retain talent focusing on work environment, leadership development and person-organization fit.
Improving Data Locality in Applications using Message Passing

This thesis presents a systematic study of two modes of program execution: synchronous and asynchronous. In synchronous mode, program components are tightly coupled. Traditional procedure call represents the synchronous execution mode. In asynchronous mode, program components execute independently of each other. Asynchronous message passing represents the asynchronous execution mode. The asynchronous mode of execution introduces communication overhead in the execution of program components. However it improves the temporal locality of data in a program by facilitating temporal and spatial reorganization of program components. Temporal reorganization refers to the batched execution of program components. Spatial reorganization refers to the scheduling of components on different processors in order to avoid the over-subscription of cache memory. Synchronous execution avoids the communication overhead. The goal of this study is to systematically understand the trade-offs associated with each execution mode and the effect of each mode on the throughput and the resource utilization of applications. The findings of this study help derive application designs for achieving high throughput in current and future multicore hardware.
Emergent complexity in early vocal acquisition: Cross linguistic comparisons of canonical babbling

Phonetic complexity, as evidenced in speech production patterns, is based on congruence of production system, perceptual, and cognitive capacities in adult speakers. Pre-linguistic vocalization patterns in human infants afford the opportunity to consider first stages in emergence of this complex system. The production system forms a primary site for considering determinates of early output complexity, as the respiratory, phonatory, and articulatory subsystems of infant humans support the types of vocal forms observed in early stages as well as those maintained in phonological systems of languages. The role of perceptual input from the environment in earliest stages of infant learning of ambient language phonological regularities is a second locus of emergent complexity. Young infants must both attend to and reproduce regularities to master the full range of phonological forms in their language. Cross linguistic comparison of babbling in infants acquiring typologically different languages including Dutch, Romanian, Turkish, Tunisian Arabic and French are described to consider production system based regularities and early perceptually based learning supporting emergence of ambient language phonological complexity.
Electoral Qualifications as the Attribute of Democratic Elections

This article examines voter eligibility/electoral qualifications as a fundamental part of universal suffrage. The authors use as a basis the typology of electoral qualifications, which provides for their division into 3 major groups: technical, protective and discriminative. In this study we made a detailed analysis of the electoral limitations belonging to each of these three groups. In particular, among technical qualifications special attention is paid to the analysis of age, citizenship, capacity, and residency requirements. Among protective limitations morality, service, military and bankruptcy qualifications have been reviewed. A considerable part of the paper is dedicated to investigating of discriminative restrictions of electoral rights, specifically, gender, property, race, religion and other electoral requirements. The restriction of the electoral rights is viewed through the prism of their transformation within the context of global democratization process in socio-political systems. Scientists convincingly demonstrate that the approach to assessment and necessity of applying of electoral limitations has been modified: discriminative qualifications are mostly removed, a large part of protective and technical electoral limitations is also eliminated, another part is strictly constrained by precise conditions for using, which significantly expand electorate and contribute to more comprehensive implementation of citizens electoral rights in comparison with past periods. Researchers of the electoral process emphasize the reasonableness of such electoral qualifications as age, citizenship, residency and capacity requirements concerning active electoral rights. At the same time, more ridged application of electoral limitations is acceptable with regard to passive electoral rights. In this context service, morality, literacy etc. qualifications must be mentioned.
The Automatic Generation of the Complex Word Format Examination Paper Based on ASP and VBA Technical

This article raises a method to generate the examination paper including the complex word form, because the problem of incomplete layout exists in test paper producing, such as the page layout is too simple, roughly, the layout imperfect and so on, it chiefly depends on the technique of ASP and VBA, and realizes through the programming to let the test question in the question database to output automatically to word and typeset automatically. The massive tests indicated that the goal examination paper has received the fine effect .
Conception d'activités d'apprentissage collaboratif en mode virtuel

Dans ce chapitre, les auteures traitent de l’apprentissage collaboratif au sein de groupes travaillant en mode virtuel. Elles presentent des assises pour definir l’apprentissage collaboratif ainsi qu’un modele de collaboration et des outils technologiques pouvant le soutenir. Les auteures decrivent egalement les etapes specifiques de conception d’un scenario d’une activite d’apprentissage collaboratif dans le contexte particulier de la virtualite et les decisions cles qui doivent etre prises par l’enseignantconcepteur. La demarche de conception proposee a ete utilisee notamment lors du developpement de plusieurs cours en ligne de la Tele-universite dans lesquels sont integrees des activites collaboratives.
Why Not! : Sequence Labeling the Scope of Negation Using Dependency Features

In this work we present a CRF-based sequence-labeling system for negation scope resolution that relies heavily on syntactic information extracted from dependency graphs. The models for negation are obtained using two corpora that differ from each other both in terms of language domain and scope annotation, allowing us to present parallel, comparative results for system configurations that draw information from similar, yet conceptually different sources. We evaluate the performance of the system on several levels. First, we assess the utility of syntactic features and label sets of different granularity, showing how the benefits of more involved configurations vary across corpora. Then, we compare our best performing configuration to similar systems, showing that our approach outperforms all known CRF-based systems on the same corpora. Finally, we evaluate the performance of system configurations based on different negation models as subcomponents of a simple engine for Sentiment Analysis.
Price volatility dynamics in aquaculture fish markets

Abstract In this paper, a time-varying student-t copula is used to capture information on price volatility dependence in the short-, medium-, and long-run horizon in the US market for frozen and fresh salmon, trout, tilapia and catfish. Using monthly data from July 1992 to March 2017, the volatility dynamics for these aquaculture species are assessed. The analysis allows indicating significant differences in the volatility relationships, depending on time-frequency. While short-run volatility has limited dependency, there is significant dependency in both the medium- and long-run, indicating that market integration is stronger in the long-run. The information is particularly important to buyers and producers utilizing the futures markets, as contracts are typically traded using a set of frequencies, and may help them manage and reduce price risk.
The New Meaning Of Educational Change

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Single Switched Non-Isolated High Gain Converter

This paper presents a new single switched inductor- capacitor coupled transformer-less high gain DC-DC converter which can be used in renewable energy sources like PV, fuel cell in which the low DC output voltage is to be converted into high dc output voltage. With the varying low input voltages, the output of DC-DC converter remains same and does not change. A state space model of the converter is also presented in the paper. This constant output voltage is obtained by close loop control of converter using PID controller. High voltage gain of 10 is obtained without use of transformer. All the simulations are done in MATLAB-SIMULINK environment.
IMPACT OF FINANCIAL DEVELOPMENT ON INCOME INEQUALITY AND POVERTY IN ASEAN

This study investigates the effect of financial development on income inequality and poverty in the context of the ASEAN (Association of Southeast Asian Nations) economy. Investigating the relationship of financial development to economic variables has attracted much attention among researchers and practitioners. Nonetheless, prior studies have resulted in conflicted and inconclusive output concerning the a priori effect of finance on the general economic progress. Therefore, by employing the longitudinal panel data analysis, we provide empirical evidence with more specific cases on the link between the finance-inequality and finance-poverty nexus. Utilising panel data analysis for a sample of five ASEAN countries (Indonesia, Malaysia, Philippines, Thailand, and Vietnam from 2007 to 2015), we investigate our proposed empirical model. Hereby, we use four financial dimensions as the proxy for financial development (financial access, financial deepening, financial efficiency, and financial stability). The Gini index and poverty gap are considered proxies of income inequality and poverty. Our results report that financial development by employing four financial dimensions contribute more to the variability of the poverty gap rather than the Gini index ratio. Also, we document that the surrogate indicators of financial access, financial deepening, financial efficiency are statistically associated with the poverty gap. On the other hand, no association is found between the proxy of financial development and income inequality.