Miracle-dz/UniFAR-FTUs huggingface dataset:
De la libertad para hacer ciencia y de la ciencia para la libertad

La comunicacion es una actividad social indisociable de la construccion del presente y de la transformacion del futuro. Los estudios de la misma, tienen fundamento cientifico y proyeccion historica. La Teoria de la Comunicacion tiene lugar donde confluyen las cien- cias de la vida y el hombre, los comportamientos comunicativos son los ejes por los que se transmite el movimiento de la evolucion natural y de las transformaciones sociales. Los cientificos generales y sociales, pueden continuar la tarea de ilustrar y contribuir a las transformaciones sociales, hacer visibles sus disociaciones y hacer comprensibles sus causas. Difundir lo que se hace con la comunicacion y desde la comunicacion, contribuira a la realizacion de las utopias del progreso. La ciencia y la docencia, deberian ser recursos que instrumenten, naturalicen y humanicen el control de las instituciones, pues la teoria proporciona soporte racional a la conciencia social.
Self-Regulated Learning: The Continuous-Change Conceptual Framework and a Vision of New Paradigm, Technology System, and Pedagogical Support

A modified conceptual framework called the Continuous-Change Framework for self-regulated learning (SRL) is presented. Common elements and limitations among the past frameworks are discussed in relation to the modified conceptual framework. The iterative nature of the goal setting process and overarching presence of self-efficacy and motivational beliefs are emphasized as an improvement in the modified framework. Also, the limitations of current SRL frameworks in terms of full SRL are identified. On the basis of these limitations, we discuss the potential of SRL for the information-age paradigm of education as well as implications for pedagogical thinking for teaching students to be more self-regulated.
Green Supply-Chain Management and Green Purchase Intention, The Role of Green Brand-Equity

This study aims to analyze the impact of green supply chain management on customers’ green purchase intention in Iranian beverage industry. To this end, this study examines the role of brand equity as a mediator variable. The research paradigm is positivistic, its approach is deductive and its strategy is survey. A questionnaire sample consisting of 48 questions was handed out via e-mail, Telegram software and cyberspace to the sample population consisting of 30 manufacturers and their consumers, Three for each. Facial and content validity of the questionnaires are assured by the review of experts and using standard questionnaires formerly designed. The structural validity also relied on confirmatory factor analysis. Reliability is 0.79 according to Cronbach's alpha. Data analysis is done using smart PLS software and testing by means of correlation matrix, Structural equation model and the model fitness test. The findings of our study showed a significant and positive correlation between Green Supply Chain Management and the Green brand equity. It was also revealed that green brand equity also plays a significant role in determining the customers green purchase intention. © 2019 Published by Future Academy www.FutureAcademy. org.UK
Digital image processing using parallel computing based on CUDA technology

This article describes expediency of using a graphics processing unit (GPU) in big data processing in the context of digital images processing. It provides a short description of a parallel computing technology and its usage in different areas, definition of the image noise and a brief overview of some noise removal algorithms. It also describes some basic requirements that should be met by certain noise removal algorithm in the projection to computer tomography. It provides comparison of the performance with and without using GPU as well as with different percentage of using CPU and GPU.
New text steganography technique based on a set of two-letter words

Steganography is a secret writing wherein one person communicates with another without drawing suspicion to the secret communication through the medium. Text steganography is regarded the most difficult carrier to conceal secret data with because of its insufficient redundant information compared to image, audio, or video files. In this paper, we propose a new method for concealing information in English writing using non-printing characters, such as zero width non-joiner (ZWNJ) and zero width joiner (ZWJ). This approach uses to text steganography on text files. Secret information is embedded inside the English script using two-letter words based on their locations, hence achieving steganography. Results show that the technique satisfies perceptual transparency and information hiding capacity in the cover file by comparing with two previous developed existing methods. However, the size of the cover and stego document increases by approximately (22.61%) from the original size.
Hybrid C&C-DMA Scheme for Multi-User Access in Large-Scale VLC Network

We propose a multi-user access scheme based on Color-code division multiple access (C&C-DMA) in VLC network. The experiment shows BERs of four users under one color channel are below 3.8 × 10∼3 when total data rate is 32Mbps by adopting conversed Walsh code and RGB LED.
Design Patterns and Expert System for Online Admission Systems

After presenting Optimized framework for Online Admission Systems with Reference to Professional Programmes in previous research paper this paper presents Design patterns and Expert System for Online Admission Systems. Framework addressed using design pattern is easier to reuse, maintain, flexible and extensible. Strategy pattern and proxy pattern are used in the system. For requirements collection an expert system is developed which asks few questions regarding the requirements for the system and gives suggestions and approximate budget for the system to be build. Depending on number of students, system suggests three types of online admission systems namely Basic Admission System, Advanced Admission System and Premium Admission System. CLIPS tool is used to develop this expert system.
Numerical Analysis

Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms for computing expressions defined with real numbers. Emphasizing the theory behind the computation, this book provides a rigorous and self-contained introduction to numerical analysis and presents the advanced mathematics that underpin industrial software, including complete details that are missing from most textbooks.Using an inquiry-based learning approach, Numerical Analysis is written in a narrative style, provides historical background, and includes many of the proofs and technical details in exercises. Students will be able to go beyond an elementary understanding of numerical simulation and develop deep insights into the foundations of the subject. They will no longer have to accept the mathematical gaps that exist in current textbooks. For example, both necessary and sufficient conditions for convergence of basic iterative methods are covered, and proofs are given in full generality, not just based on special cases.The book is accessible to undergraduate mathematics majors as well as computational scientists wanting to learn the foundations of the subject.Presents the mathematical foundations of numerical analysis Explains the mathematical details behind simulation software Introduces many advanced concepts in modern analysis Self-contained and mathematically rigorous Contains problems and solutions in each chapter Excellent follow-up course to Principles of Mathematical Analysis by Rudin
Dynamic distributed clustering in wireless sensor networks via Voronoi tessellation control

ABSTRACT This paper presents two dynamic and distributed clustering algorithms for Wireless Sensor Networks (WSNs). Clustering approaches are used in WSNs to improve the network lifetime and scalability by balancing the workload among the clusters. Each cluster is managed by a cluster head (CH) node. The first algorithm requires the CH nodes to be mobile: by dynamically varying the CH node positions, the algorithm is proved to converge to a specific partition of the mission area, the generalised Voronoi tessellation, in which the loads of the CH nodes are balanced. Conversely, if the CH nodes are fixed, a weighted Voronoi clustering approach is proposed with the same load-balancing objective: a reinforcement learning approach is used to dynamically vary the mission space partition by controlling the weights of the Voronoi regions. Numerical simulations are provided to validate the approaches.
Robust Reference Tension Optimization in Winding Systems Using Wound Internal Stress Calculation

It is well known that the tension reference value, which a priori guarantees a good quality roll, is based on the stress generated within the roll. The tension reference is optimized by considering both the tangential and the radial stress within the roll during winding. Moreover, a dynamic stress gauge is introduced, so that it can vary during the winding process. It generally represents the limits of elastic deformations of the web. A second approach consists to optimize the tension reference gauges, i.e. maximum and minimum reference values around the optimized nominal reference curve.
Validating Persuasive Experience (PX) Theory: Preliminary Results of a Case Study on a Corporate Wellness Program’s Web-based Learning Interfaces

The objective of this study is to gain a clearer understanding of the role Persuasive Experience (PX) may play in wellness-oriented Web Based Learning (WBL) platforms in forming abilities to incite healthier lifestyle (or promoting health behavior) in technology-based systems use. Specifically, individual users’ interactions with a particular corporate wellness WBL platform was examined in relation to their State of Mind and Behavior. The results of this study may assist in better predicting behavior change and sustainable adherence to increased physical activity routines that could reduce risk of behavior sensitive conditions such as cardiovascular disease and its sequelae in U.S. workplaces. The findings of this case study also offer further validation of PX Theory and insight into its potential to aid in developing and implementing more effective persuasive technologies. The hope is that PX might contribute to technological systems design that can measurably and meaningfully assist employees in changing to healthier behaviors to improve their individual health outcomes. The results of this case study also suggest the potential PX driven design for wellness oriented WBL systems may have in improving overall organizational wellbeing and outcomes related to unplanned health insurance expenditures.
Learning the Emotion Rules of Communicating Within a Law Office: An Intern Constructs a Professional Identity Through Emotion Management

This article explores different types of emotion a student experiences as she interns at a public defender’s office and proposes several emotion rules based on her experience. After a literature review that locates emotions within the identity-construction process, the author analyzes data from reflective questionnaires to identify various emotions this student experienced that serve as a basis for inductively formulating the rules. Following a discussion of the rules, the article concludes with implications of this research for educators and newcomers to workplace communication environments.
Uncovering the Link between Strategic Human Resource Management and Crisis Management: Mediating Role of Organizational Resilience

The paper has attempted to examine a critical link between the strategic human resource management and crisis management. In this, the authors have taken a major drive to statistically test mediation and moderation simultaneously. Drawing upon the normal accident theory, the present study examined the link between strategic human resource management (SHRM) and crisis management through the mediation of organizational resilience. By adopting quantitative research approach, the data were collected from 176 HR managers of textile firms in Pakistan through survey method. The data were analysed by employing PLS-SEM technique. Results revealed that SHRM is positively linked with crisis management through the mediating effect of organizational resilience. In general, the results revealed that organizational resilience plays a key role in facilitating the relationship between SHRM and crisis management. The paper forwards notable implications for theory and practice followed by scope for future studies to enthusiastic scholars in the domain of HRM, strategic HRM and crisis management.
Accurate Binning of Metagenomic Contigs Using Composition, Coverage, and Assembly Graphs

Metagenomics enables the recovery of various genetic materials from different species, thus providing valuable insights into microbial communities. Metagenomic binning group sequences belong to different organisms, which is an important step in the early stages of metagenomic analysis pipelines. The classic pipeline followed in metagenomic binning is to assemble short reads into longer contigs and then bin these resulting contigs into groups representing different taxonomic groups in the metagenomic sample. Most of the currently available binning tools are designed to bin metagenomic contigs, but they do not make use of the assembly graphs that produce such assemblies. In this study, we propose MetaCoAG, a metagenomic binning tool that uses assembly graphs with the composition and coverage information of contigs. MetaCoAG estimates the number of initial bins using single-copy marker genes, assigns contigs into bins iteratively, and adjusts the number of bins dynamically throughout the binning process. We show that MetaCoAG significantly outperforms state-of-the-art binning tools by producing similar or more high-quality bins than the second-best binning tool on both simulated and real datasets. To the best of our knowledge, MetaCoAG is the first stand-alone contig-binning tool that directly makes use of the assembly graph information along with other features of the contigs.
Experimentation Throughout the Product Development Process - Lessons from Food and Beverage Ventures

Established companies turn to new ventures for bolstering exploration activities, but we know relatively little of the product development processes of startups and new ventures and how different stakeholders are utilized in these. The current study investigated the product development activities and experiments of eight Finnish food and beverage ventures in a multiple case study based on 22 interviews. How the developed products fit into the existing portfolio and experience of the ventures seemed to define their enacted development process. Internal experimentation was a constant feature, although the type of experiments varied between different phases of the development process. External-facing experiments were less frequent and more for validation than concept generation. On the other hand, they also carried important market creation functionalities. The results suggest that more nuanced terminology around experimentation would be useful to determine what type of experiments serve different goals in the development process.
Flight to Quality and Implicit Guarantee: Evidence from Chinese Trust Products

This paper analyzes how collective fund trust products - China's key shadow banking products - are priced. To address potential sample selection problems, we conduct a two-stage estimation that jointly considers issue and pricing decisions of the trust products. We find that credit spread, term spread and risk-free rate have opposite signs in the two equations, which suggests that issue and pricing are driven by investors' demand for trust products. We also find that trust yield spreads tend to decline recently and it is attributed to changes in market reaction to fundamentals rather than changes in fundamentals. Time series analyses show that the shock in credit spread has the largest and the most immediate impacts on the yield spread. Our evidence generally support risk- and information-based pricing.
Fundamentals and Evolution of MPEG-2 Systems: Paving the MPEG Road

This book describes the fundamentals and details of MPEG-2 Systems technologyWritten by an expert in the field, this book examines the MPEG-2 system specification as developed in the early 1990s, as well as its evolution into the fourth edition of the MPEG-2 systems standard, published in 2013. While MPEG-2 systems will continue to evolve further, this book describes the MPEG-2 system functionality as of October 2013. Furthermore, relevant background information is provided. The discussion of MPEG-2 system functionality requires knowledge of various fundamental issues, such as timing, and supported content formats. Therefore also some basic information on video and audio coding is provided, including their evolution. Also other content formats supported in MPEG-2 systems are described, as far as needed to understand MPEG-2 systems.Ordered logically working from the basics and background through to the details and fundamentals of MPEG-2 transport streams and program streamsExplores important issues within the standardization process itselfPuts the developments on MPEG-2 systems into historic perspectiveIncludes support of 3D Video and transport of AVC, SVC and MVCConcludes with additional issues such as real-time interface, delivery over IP networks and usage by application standardization bodiesPredicts a continuing promising future for MPEG-2 transport streams
International Review of Research in Open and Distributed Learning The Nationwide Landscape of K–12 School Websites in the United States Systems, Services, Intended Audiences, and Adoption Patterns

This study sought to collect URLs (web addresses) of all K-12 schools in the United States ( N = 98,477) and analyze website home page system and service data for all available U.S. institutional websites ( n = 65,899). Building upon previous research related to Web 2.0 educational potentials, this first-of-its-kind study sought (a) to provide descriptive results of system and service adoption and website data for all schools in the United States and (b) to detect theorized differences based upon school demographics and service/system type (e.g., open source vs. proprietary). Results indicated that proprietary and purchased systems were much more common than free and open systems, that adoption patterns were generally not meaningfully influenced by demographic data (except for charter school status), and that K-12 institutional adoption of Web 2.0 seems to be more focused on educational uses of these tools that might not strictly be considered pedagogical (e.g., community outreach).
Extending mlBibTeX to Asian Languages: Some Directions

MlBIBT E X is a reimplementation of BIBT E X with particular focus on multilingual features. The current version deals with most of European languages and here we point out the problems we have to face in order to extend this program to Asian languages. We show that MlBIBT E X's expressive power allows us to envisage this extension and discuss the open ways, with some examples using the Korean lan- guage.
UMA ESTRATÉGIA DE APRENDIZAGEM COOPERATIVA PARA DESENVOLVIMENTO DO PENSAMENTO COMPUTACIONAL POR MEIO DE ATIVIDADES DE PRODUÇÃO DE JOGOS DIGITAIS

Including Computational Thinking (CT) in the classroom can bring great advances to education. Through Computational Thinking, students can exercise logical reasoning, solve complex problems, deal with abstraction and other skills. Collaboration is also a key aspect of learning. Social interactions between students wreaked from cooperative learning methods could contribute to build knowledge in different ways. This article describes the development of a Cooperative Learning strategy to support and mobilize CT skills in students. Fundamental features of cooperative learning concepts from the literature have been studied and designed to fit the proposed learning strategy. Also, the proposed method uses Game Development approaches in order to engage learners. In addition to being present in students' daily lives, digital games enable direct interaction by giving feedbacks to student commands via animated graphics. A strategy analysis was performed through activities carried out with groups of students from the elementary schools' final series. We investigated the created artifacts and the interactions between students. The results showed that the approach was capable to mobilize CT problem-solving strategies and reflections about social interactions in the group.
Liabilities Matter: Improving Target Date Glidepath Construction through Liability Adaptive Asset Allocation

Target date glidepath funds have become extraordinarily popular in defined contribution plans during the past decade. Most glidepath strategies are based, fundamentally, on the idea that investors have bond-like human capital that slowly depletes during their career, and therefore investors should complement their human capital depletion with a declining equity glidepath as they progress toward retirement. Despite the theoretical attractiveness, the human capital approach unfortunately falls flat from an empirical and practical standpoint. In this article the author proposes a new liability-adaptive approach for target date glidepath construction. By moving away from a human capital approach and instead focusing on future retirement liabilities, the author shows that plan sponsors can improve outcomes for participants. The author also believes this framework enables sponsors to better communicate the underlying assumptions in their glidepath offering to participants who are planning for retirement. Finally, the author shows how financial advisors can use the same framework with individual investors and families to improve outcomes on a customized basis. TOPICS: Retirement, long-term/retirement investing, pension funds
Automatic Identification of Product Usage Contexts from Online Customer Reviews

There are three product design contexts that may significantly affect the design of a product and customer preferences towards product attributes, i.e. customer context, market context, and usage context factors. The conventional methods to gather product usage contexts may be costly and time consuming to conduct. As an alternative, this paper aims to automatically identify product usage contexts from publicly available online customer reviews. The proposed methodology consists of Preprocessing, Word Embedding, and Usage Context Clustering stages. The methodology is applied to identify usage contexts from laptop customer reviews, which results in 16 clusters of usage contexts. Furthermore, analyzing the review sentences explains the separation of “playing games” –which is more related to casual gaming, and “gaming rig” –which implies high computing power requirements. Finally, comparing customer review with manufacturer's product description may reveal a discrepancy to be investigated further by product designer, e.g. a customer suggests a laptop for basic use, although the manufacturer's description describes it for heavy use.