Miracle-dz/UniFAR-FTUs huggingface dataset:
Visualización exploratoria e interactiva de modelos de reglas de asociación

espanolEl articulo describe una propuesta de visualizacion exploratoria e interactiva para modelos de mineria de datos generado con la tecnica regla de asociacion, aplicandole la tecnica Self-Organizing Map (SOM) sobre cada componente o regla, junto a vistas proporcionadas por elementos graficos implementados para complementar esta visualizacion. Esto busca establecer esquemas de visualizacion, que soporten la exploracion visual del modelo en la etapa de ajuste del modelo de un proceso de mineria de datos, y con esto responder preguntas genericas de analistas de datos respecto del funcionamiento interno del modelo, y lograr apoyar en la comprension del modelo generado. Este esquema de visualizacion propuesto se implementa por medio de un software experimental donde los analistas de datos disponen de diversos mecanismos de interaccion que les permiten interactuar y explorar cada componente del modelo, con las vistas complementarias descritas con anterioridad. Finalmente, se analizan los resultados obtenidos desde un experimento controlado, llevado a cabo con un grupo de usuarios, y cuyo analisis preliminar de esta evaluacion permite, por un lado, corroborar la utilidad del esquema de visualizacion propuesto sobre modelos de reglas de asociacion, y su nivel de eficiencia en apoyar la comprension del modelo generado. EnglishThe paper describes a proposal for interactive visualization for exploratory data mining models generated with association rule technique, applying the Self-Organizing Map (SOM) technique on each component or rule, with a view provided by graphic elements implemented to complement this visualization. This seeks to establish visualization schemes, which support the visual exploration stage model fit of a data mining process, and with this answer generic questions regarding data analysts inner workings of the model, and achieve support in understanding generated model. This proposed scheme is implemented visualization through experimental software where data analysts have different interaction mechanisms that allow them to interact and explore each component model, with additional views described above. Finally, results from a controlled experiment, conducted with a group of users whose preliminary analysis of this evaluation allow one hand confirm the usefulness of the proposed scheme on display models of association rules, and analyzes level of efficiency in support understanding of the generated model.
Searching for and identifying conceptual relationships via a corpus-based approach to a Terminological Knowledge Base (CTKB)

The aim of this paper is to provide an effective method for constructing a Corpus Based Terminological Knowledge Base -CTKB. The two stages of the method based on linguistic knowledge are outlined : the identification of candidateterms and the identification of conceptual relationships. This method is applied to a French corpus and the results are assessed from the point of view of various applications.
A Multiple Measure of Organizational Performances and Its Effect on Distinctive Marketing Competencies: An Empirical Study of India and the Maldives

Objective - The role of knowledge management and competencies related to marketing skills are essential for Indian and Maldivian businesses, due to the emerging economy and globalization. This study therefore aims to identify the impact of marketing competencies on organizational performance in automobile sales centers, by reviewing the relationship between marketing competencies and firm performance, to support interest and investments in such a concept. Methodology/Technique - 424 respondents (327 Indian samples and 97 Maldivian samples) were randomly selected for the research, with a 71% response rate. The first section of the questionnaire consists of questions related to marketing competencies (32 items) and the second section contains items related to organizational performance (10 items), and the last part includes questions about the respondents' demographical differences. After the data collection, construct validity and reliability statistic tests were conducted to check the validity and reliability of the instrument using IBM SPSS AMOS 23. Findings - The structural equation modelling results for the Indian and the Maldivian samples reveal that marketing competencies have a significant and positive affect on organizational performance. Novelty - This study may be useful for policymakers and top-level managers in the automobile sector; this study provides empirical insights into how the performance of the firm is affected by marketing competencies. Type of Paper: Empirical. Keywords: Marketing Competency; Marketing Resources and Capabilities; Automobile Sales Centers; India; Maldives. JEL Classification: M30. M31. M37. M39
EABDS: Attribute-Based Secure Data Sharing with Efficient Revocation in Cloud Computing

Ciphertext-policy attribute-based encryption (CP-ABE) is becoming a promising solution to guarantee data security in cloud computing. In this paper, we present an attribute-based secure data sharing scheme with Efficient revocation (EABDS) in cloud computing. Our scheme first encrypts data with Data encryption key (DEK) using symmetric encryption and then encrypts DEK based on CP-ABE, which guarantees the data confidentiality and achieves fine-grained access control. In order to solve the key escrow problem in current attribute based data sharing schemes, our scheme adopts additively homomorphic encryption to generate attribute secret keys of users by attribute authority in cooperation with key server, which prevents attribute authority from accessing the data by generating attribute secret keys alone. Our scheme presents an immediate attribute revocation method that achieves both forward and backward security. The computation overhead of user is also reduced by delegating most of the decryption operations to the key server. The security and performance analysis results show that our scheme is more secure and efficient.
The roles of brand loyalty and switching costs in the purchase of a new smartphone

Although many users change their smartphone, most may be inclined to continue using incumbent smartphone series instead of switching to new brands. Brand loyalty and switching costs are major determinants of inclinations toward incumbent smartphones. This study addresses the research question, “what roles brand loyalty and switching costs play in the purchase of new smartphones? ”. For this, the study proposes a research model explaining purchase intentions toward new smartphone considering inclinations toward incumbent brands. For validation purposes, the research model was empirically tested based on purchase intentions toward the LG smartphone brand G3. The results provide support for all hypotheses.
Mass Transfer Characteristics of Glutaraldehyde-crosslinked and Epoxy-crosslinked Collagen Films

Collagen is a broadly used biomaterial and its mechanical strength can be enhanced by many crosslinking agents. Collagen matrices for drug delivery or tissue regeneration, however, are expected to have desired mass transfer characteristics. In this study, collagen films were crosslinked by two commonly used crossliking agents, namely glutaraldehyde (GTA) and epoxy. The mass transfer characteristics of the crosslinked collagen films were determined using theophylline (a hydrophilic drug) and benzocaine (a hydrophobic drug). The apparent diffusivities (D(subscript app)) of theophylline and benzocaine in untreated collagen films were about 1×10^(-6) cm^2/s and 3×10^(-7) cm^2/s, respectively. The crosslinking treatments caused a decline in D(subscript app) for both drugs. The D(subscript app) values of theophylline and benzocaine in GTA-crosslinked and epoxy-crosslinked films were about one third of the D(subscript app) values in the untreated films. In addition, swelling ratio of the GTA-crosslinked or epoxy-crosslinked films decreased by 50% as compared with untreated films. This study suggests that the decrease in the swelling ratio is due to the cross-linkages between collagen molecules, thereby increasing the mass transfer resistance and decreasing the D(subscript app) values. Further, as compared to the hydrophilic drugs such as theophylline, the permeation of hydrophobic drugs such benzocaine in collagen films is relatively poor.
Modelling of dynamic multi-ion diffusion within polyelectrolyte hydrogels

Hydrogels are produced, or occur naturally, in a range of applications including nappies, contact lenses and protein cleaning, and often they are exposed to solutions with many components and ions. This paper outlines some of the difficulties that arise when modelling dynamic diffusion of water and multiple ions, including H+ and OH-, within polyelectrolyte hydrogels. The diffusion fluxes can be determined using the Maxwell-Stefan equation, which while appearing complex is mathematically straight forward. The dynamic mass balances are difficult to solve when acid/base reactions occur. Such reactions can be treated as very fast (creating a very stiff system of equations), or as achieving instantaneous equilibrium (creating numerical difficulties or the need to reduce the number of variables). Some methods to handle acid/base equilibria can be found in the literature of 40-50 years ago, and similar methods have also been recently re-invented. Another difficulty arising is the modelling of 3-dimensional deformation due to swelling or shrinkage of the gel. Pressure and stress gradients can exist within the gel and the assumptions of linear elasticity often used in mechanics are not applicable. With any of the possible solution methods the system contains a wide range of scales from water concentrations of 100 mol/L to H+ concentrations down to 1014 mol/L. This requires exact mass balances which the commonly used package COMSOL was unable to achieve.
Algorithm/architecture design space co-exploration for energy efficient wireless communications systems

Wireless connectivity is playing an increasingly important role in communication systems. Advanced communication algorithms have been developed to combat multi-path and multi-user interference, as well as to achieve increased capacity and higher data rate. To meet the need of high performance with low energy consumption requires designs rely on the integration of both algorithm and architecture to exploit the full potential of theoretical communication results and advanced CMOS technology. In this work, these strategies were employed to exploit the interactions between algorithm and architecture to derive fast and energy efficient solutions of wireless communications systems. First, a cross-cutting method is proposed to facilitate algorithm/architecture co-exploration of dedicated hardware design, resulting in novel optimizations at every level of the system design, from the theory and algorithms to the arithmetic and placement. Second, through algorithm/architecture co-exploration, multiple orders of magnitude of improvement in both performance and energy efficiency can be obtained by using highly parallel architecture and dedicated hardwired IP cores compared with executing software on microprocessors. As a case-study, a matching pursuit (MP) core was designed on a modern FPGA for efficient wireless channel estimation, achieving 216x speedup compared to a high performance microprocessor. Third, the advantages of bringing together algorithm and architecture design are also demonstrated on optimizing leakage power consumption, which is projected to be the dominant power dissipation in future generations of digital systems as current technology scaling trends hold. In this study, the growing problem of transistor leakage is tackled through on-chip memories: caches in general purpose microprocessors and embedded memories in reconfigurable devices, which take the majority of on-chip real estates and identify themselves the ideal targets to battle the leakage problem. Through exploring the temporal and spatial information of variables within memories, substantial leakage power can be reduced with existing low leakage circuit and architecture techniques (5x reduction for instruction cache, and 2x reduction for data cache, compared to existing techniques). With leakage-aware data placement, significant leakage power reductions can be further achieved. On the case study of MP core, 94% of leakage power on embedded memories can be saved.
Práctica religiosa y sentido de vida en adultos jóvenes

La religion individualizada en cada uno de nosotros como un sistema de creencias brinda pautas de comportamiento, maneras de entender el mundo, a los demas y a nosotros mismos, de este modo nos ofrece un proposito al proyecto vital. El sentido de la vida es un tema fundamental en psicologia para la comprension de la naturaleza humana y la esencia de la existencia. El sentido en la vida promueve un mayor bienestar y el desarrollo positivo, como ha sido evidenciado en diversos estudios sobre la juventud. Este trabajo tiene como objetivo evaluar la asociacion entre la practica religiosa y el sentido de vida en adultos jovenes. Comprende dos estudios, en el primero se utilizo la prueba Evaluacion Multidimensional de la Religiosidad y la Espiritualidad para medir la frecuencia de practica religiosa y el Test de Sentido de Vida. Estos instrumentos se administraron a una muestra de 122 jovenes de 18 a 28 anos de Parana, Argentina. En el segundo estudio se administro el Test de Sentido de Vida a 223 alumnos de universidades estatales de Mendoza con el fin de comparar las submuestras de quienes se autoperciben como catolicos practicantes con aquellos que siendo creyentes catolicos no se consideran practicantes. Los resultados en el primer estudio evidenciaron que la practica religiosa se correlaciona positivamente con el sentido de vida. Estos resultados son consistentes con los del segundo estudio, en los que se encontraron puntajes mas elevados de sentido de vida en los catolicos que se autoperciben como practicantes.
Survey on Frequent Pattern Mining over Data Streams

Frequent Pattern Mining plays an important role in the field of data mining. It discovers an interesting associated pattern from databases. The concept of frequent pattern mining is extended to dynamic database mining and the data streams today. Data Stream is continuous, unbounded sequence of data elements that arrives at high speed from a specified source. Some of the real time examples of data streams are Web Click Streams, Sensor Networks, Stock Market, Retail Chain Transactions and the like. Unlike static database mining, there are lots of challenges and various data processing models are used for data stream mining. So, the study of existing algorithms is needed to design the efficient algorithms and data structure in the concept of frequent pattern mining over data streams is very important for the researchers. Hence, in this paper we reviewed the concept of data streams and overview of various algorithms for the extraction of frequent patterns based on data processing models defined for data stream mining.
Controller Design by using Sliding Mode and Passive Control Methods for Continuous Time Non-Linear Shimizu-Morioka Chaotic System

In this study, the controllers are improved by way of the sliding mode control and passive control methods for continuous time nonlinear Shimizu-Morioka chaotic system. The control structure of Shimizu-Morioka chaotic system for both methods were calculated as analytically, and then applied a numerical example. Shimizu-Morioka chaotic system like other chaotic systems show nonlinear behavior and this causes the systems to be unstable. The ShimizuMorioka non-linear chaotic system for the analysis of stability was linearized continuous time via Taylor Series. In addition, the state variables were analyzed whether they reach the equilibrium point or not, while controllers at different times were activated. Both the sliding mode and passive methods reached to an equilibrium point, but the results of the simulations sliding mode control were better performance than passive control technique based on the performance criteria.
Compensación ejecutiva y desempeño de la firma: Un análisis para el mercado norteamericano

Las decisiones tomadas por los ejecutivos en el dia a dia reflejan las acciones que son necesarias para cumplir los objetivos a largo y corto plazo de los accionistas -- Entender con numeros las decisiones genera resultados que nos permiten analizar las relaciones entre la compensacion de los ejecutivos y el desempeno financiero de una empresa -- En este trabajo, se lleva a cabo el analisis para treinta firmas de seis sectores del mercado norteamericano, donde se considera la relacion que existe entre la compensacion ejecutiva y el desempeno que tuvieron estas empresas entre los anos 2010 y 2016 -- El desarrollo de esta investigacion se analiza el origen de la compensacion, la teoria de la agencia y la mezcla entre la remuneracion fija y variable -- Las dos remuneraciones anteriores adquieren relevancia en el analisis, ya que son los datos que permitiran efectuar el enlace de la compensacion ejecutiva con el desempeno de la empresa -- La importancia de este analisis parte de la necesidad de encontrar evidencias sobre las relaciones entre el principal (inversionistas), el agente (ejecutivos) y los comportamientos por sector empresarial, segun la clasificacion americana
Interactive UHD Digital Signage System for Multi-Screen Displays

With the rapid growth of the Ultra High Definition(UHD) video industry, UHD video contents are used for interactive digital signage. Since high-definition video contents are effective to get the attention of customers, advertisers want to use UHD video contents to advertise their products and services. This paper presents a digital signage system with software-based digital signage solution for UHD digital signage contents. The proposed system ingest, encode transfer, decode, and synchronize UHD digital signage contents.
Shear capacity of steel fibre reinforced concrete beams

The Critical Shear Displacement Theory (CSDT) was developed to determine the shear capacity of reinforced concrete beams based on the different shear-carrying mechanisms (concrete in the compression zone, aggregate interlock, and dowel action). This research aims at extending the CSDT to Steel Fibre Reinforced Concrete (SFRC) by adding the contribution of steel fibres. The model extension was developed based on formulations for the contribution of steel fibres to the shear capacity from the literature. With this extension to the CSDT, the shear strength of steel fibre reinforced concrete beams without stirrups could be estimated. An extensive database is developed from the literature in order to evaluate, compare, and analyse the shear capacity of SFRC beams. The analysis indicates that two models are capable of predicting the shear strength of SFRC beams with reasonable accuracy. The mean, standard deviation, and coefficient of variation are 0.9, 0.28, 0.31 and 1.1, 0.33 and 0.30 respectively. The main geometric variables of the steel fibres that influenced the shear strength are the length, diameter, and fibre type (hooked, crimped, and straight). From the comparison between the results in the database and the proposed extensions to the CSDT it is found that the critical shear displacement of Δcr = 0.025 mm, gives reasonable results for SFRC. As such, this proposed method can be used to estimate the shear strength of SDRC based on a mechanical model.
Visualpedia: an educational Wiki to support students with different disabilities

VisualPedia is a software prototype for the deployment of accessible educational objects for users with special needs in the visual, cognitive and verbal spheres. It was developed as part of the Italian Ministry of Education’s project on new technologies and disability “Nuove Tecnologie e Disabilita”. VisualPedia is a wiki-based tool conceived according to the principles of design for all and collaborative knowledge creation; it takes account of usability requirements for end-users’ fruitful exploitation of contents. In this paper we present the main system functionalities, with special emphasis on the management of educational objects, the specification of the user profile, and the visualization and retrieval of educational objects according to the user profile.
Evolution of Digital Communication Networks

The capabilities offered by digital communication are leading to the evolution of new network structures that are grounded in communication patterns. As these structures are significant for organizations, much research has been devoted to understanding network dynamics in ongoing processes of electronic communication. A valuable method for this objective is Social Network Analysis. However, its current focus on quantifying and interpreting aggregated static relationship structures suffers from some limitations for the domain of analyzing online communication with high volatility and massive exchange of timed messages. To overcome these limitations, this paper presents a method for event-based dynamic network visualization and analysis together with its exploratory social network intelligence software Commetrix. Based on longitudinal data of corporate e-mail communication, the paper demonstrates how exploration of animated graphs combined with measuring temporal network changes identifies measurement artifacts of static network analysis, describes community formation processes and network lifecycles, bridges actor level with network level analysis by analyzing structural impact of actor activities, and measures how network structures react to external events. The methods and findings improve our understanding of dynamic phenomena in online communication and motivate novel metrics that complement Social Network Analysis.
Towards a scalable and efficient data classification technique.

TOW ARDS A SCALABLE AND EFFICIENT DATA CLASSIFICATION TECHNIQUE Fadi Samih Omar Mehanna June 2,2005 Data Classification is a task that could be found in many life activities. In general, the term could be used for any activity that derives some decision or forecast based on the currently available information. Using a more accurate definition, a classification procedure is the construction of some kind of a method for making judgments for a continuing sequence of cases, where each new case must be assigned to one of predefined classes. This type of construction has been termed supervised learning, in order to distinguish it from unsupervised learning or clustering in which the classes are not predefined but are concluded from the available data. This thesis is divided into five chapters, analyzing three classification techniques, namely nearest neighbor technique, perceptron learning algorithm and multi-layer perceptrons with backpropagation, based on performance and scalability issues. Chapter one gives an introduction to the research topic of this thesis. In addition it states the problem that builds the core of this thesis and predefines the objective of this study, namely selecting the most efficient and scalable classification algorithm that suits a given classification task. Chapter two explores a historical review of the literature introduced in
Theory of Mind and evidentiality in Romani-Bulgarian bilingual children

Theory of Mind and evidentiality in Romani-Bulgarian bilingual children The paper reports two studies of the development of false belief reasoning in bilingual Roma children in Bulgaria. No previous work has considered Roma children. Two studies were conducted, and in the second study the Roma children spoke a dialect of Romani that contains evidential markers, as does Bulgarian, their second language. Results reveal no advantage of bilingualism, and similar results with age to that found in other groups across the world. The bilingual group had better understanding of evidentials than the monolingual Bulgarian group, possibly related to the linguistic character of the markings. There is contradictory evidence about the relation of ToM and understanding of evidentiality.