Miracle-dz/UniFAR-FTUs huggingface dataset:
Valoración de acciones en los países que integran la Alianza del Pacífico por el modelo de descuento de dividendos (Stock Valuation in Pacific Alliance Countries Using the Dividend Discount Model)

El objetivo de esta investigación es analizar las oportunidades de inversión en los países pertenecientes a la Alianza del Pacífico, usando el modelo de descuento de dividendos con empresas que operan en estos países, que poseen acciones bursátiles. Para esta investigación se usó el software Economática, mediante el cual se recopilaron los datos correspondientes al precio de cierre para las acciones negociadas en abril de 2018, dividendos por acción, utilidad por acción, coeficiente beta y Rentabilidad del patrimonio; posteriormente, se realizó la valoración de acciones y la comparación de los resultados con los índices MSCI - Morgan Stanley Capital International, para la Alianza del Pacífico. En los resultados obtenidos, se observa una sobrevaloración generalizada de las acciones estudiadas. Se destaca el caso de México, con una sobrevaloración por encima del promedio, una alta volatilidad y la mayor rentabilidad promedio sobre el patrimonio. También se observó una considerable relación entre la rentabilidad del patrimonio y la tasa de retención de utilidades en las acciones estudiadas. Los índices de sobrevaloración generan la hipótesis de dividendos ineficientes para representar una expectativa clara sobre el valor de la compañía, por lo tanto, en la presente investigación, el modelo de descuento de dividendos no estaría facultado para mostrar de manera eficiente el valor de todas las compañías; por otro lado, también es posible que la ineficiencia resulte de la metodología usada para determinar la tasa de descuento, generando una tasa descuento mayor a la que implícitamente acepta el mercado. A pesar de lo anterior, la valoración por el modelo de descuento de dividendos sirve como referente de las oportunidades de inversión en las empresas pertenecientes a la Alianza del Pacífico.
The relationship between trained ratings and untrained listeners’ judgments of global coherence in extended monologues

ABSTRACT Background: Global coherence rating scales have been used by a number of researchers to examine spoken discourse in populations with and without acquired neurogenic communication disorders. The 4-point global coherence (GC) scale in the current study has demonstrated reliability and convergent validity. However, we have not yet established how a global coherence rating corresponds to functional communication. Aims: The current study explores the clinical meaningfulness of the 4-point GC rating scale. Survey questions and ratings were developed to examine discourse quality and functional coherence as perceived by untrained listeners. Ratings by untrained listeners were compared to trained discourse ratings using the established 4-point GC scale. Methods and Procedures: Twelve discourse samples, scored by a trained rater, were selected for the current study from a previously collected set of discourse transcripts. Transcripts were extended monologues in response to one of four possible open-ended questions that were re-recorded by the trained rater to remove any distracting features of the original recordings, such as articulatory errors. Twenty-four untrained listeners rated the discourse samples using a short questionnaire that included questions for each sample about: topic maintenance, inclusion of unnecessary information, and the listener level of interest and attention. Questions for untrained listeners were based on operational definitions of global coherence and discourse quality respectively. These untrained ratings were compared to trained ratings of global coherence. Outcome measures were compared using non-parametric tests and a Spearman Rank Order test was also used to examine relationships among variables. Main Contribution: Untrained listeners’ ratings for topic maintenance and inclusion of unnecessary information were significantly different between trained low, medium, and high global coherence ratings. Topic maintenance and inclusion of unnecessary information were also both significantly correlated with global coherence. Untrained listeners’ ratings of their level of interest and attention for a sample were significantly different between trained medium-high and low-high global coherence ratings. Interest and attention ratings were also significantly correlated with ratings of global coherence. Conclusions: Untrained raters did differentiate between levels of global coherence using ratings of topic maintenance, inclusion of unnecessary information, and their level of attention and interest. Global coherence was also significantly correlated with the untrained ratings. These findings provide preliminary external validity for the global coherence scale and support its clinical utility.
THE HUMAN CAPITAL AND ECONOMIC DEVELOPMENT: LITERATURE REVIEW

The human capital constitutes an important factor for the development of the nation’s economy. Recently, Barro, Mankiw and Sala-I-Martin (1995) place the human capital as the vital variable which explains the economic evolution. Hence, the effects of human capital on the economic development became a significant topic in the empirical literature. In this way, the idea of this study is to give a perspective of the theory and the basic approaches of human capital. Then, this paper sets out to review the literature about the relationship between human capital and economic development.
Integration of Openstack cloud resources in BES III computing cluster

Cloud computing provides a new technical means for data processing of high energy physics experiment. However, the resource of each queue is fixed and the usage of the resource is static in traditional job management system. In order to make it simple and transparent for physicist to use, we developed a virtual cluster system (vpmanager) to integrate IHEPCloud and different batch systems such as Torque and HTCondor. Vpmanager provides dynamic virtual machines scheduling according to the job queue. The BES III use case results show that resource efficiency is greatly improved.
Improving OFDM/DQPSK System Performance in the Conditions of Frequency Offset Existence

The basic characteristics of Orthogonal Frequency Division Multiplex (OFDM) systems with DQPSK modulation and channel estimation with an adaptive transversal filter and LMS algorithm are analyzed and presented in this paper. In the simulation environment designed for this purpose, we analyzed the effects of frequency offset on the performance of OFDM digital communications and presented the method for improving system performance in the presence of frequency offset. We analyzed the influence of OFDM system parameters on system’s performance for various values of frequency offsets, filter lengths and the number of subcarriers. Finally, we compared the result with the one for a perfectly synchronized OFDM/DQPSK system with differential and coherent demodulation.
creatividad y liderazgo en la organización escolar del tercer milenio

Currently educational organizations require people with the ability to exercise the leadership of successfully, what warrants the knowledge of their new styles and the best way to exercise it. that is the reason why, the current study had as main objective to know from the creativity perspective, the leadership on the third millennium scholar organization and exploring the different tendencies that should orientate the changes, in such o way to bring about an efficacious, innovator, and self-managed development. By means of a documental research, where the critical analysis of literature was done, the creativity and leadership were discussed as necessary elements for the third millennium education. In short, the leader is that who dares be creative and encourage a change in the seek of new ways to transform and better a situation, likewise, he focuses on the future as well as settles his energy or to a positive change with a proactive and optimist attitude.
Impact and Criticism of Global Capitalism in the Industrial Era 4.0

This article discusses the impact of global capitalism and gives a critique of global capitalism in the 4.0 industrial revolution that is currently developing in the global economy. Today global capitalism is almost everywhere, especially in the workplace, especially in the production and consumption industries and the most dominating is politics in life. This trend is increasing through the application of intelligent information technology and artificial machinery including the development of industrial technology in the 21st century which was marked by the emergence of the 4.0 industrial revolution in the present era. This industrial revolution made very rapid changes, especially in technology. Previously, people depended on the speed of their hands and feet after the industrial revolution. But in its development, capitalists are people who control the industrial sector of the market and the means of production so that the impact on the gap between the rich becomes rich and the poor dies. With the strength of the capital they have, they can run and develop the industrial sector. And the owner of this capital comes the term capital (capital), which means "capital". This group has a big advantage over the Industrial Revolution. The cause of modern capitalism, which shows the role of capitalists as producers, traders and
Environmental Perception of 5th Year Elementary School Students through Cultivation and Phenotypic Plasticity of Plants

The study of children’s environmental perception is an essential tool for understanding the behavior and planning actions that provide awareness and development of their ethical position towards the environment they live in. The objective of this study was to evaluate the opinion of students of the 5th year of Elementary School about the concepts related to the importance of the environmental condition to plants. The activities involved 26 children from nine to eleven years old. They made: 1) a comparison between Boldo Mirim (Plectranthus neochilus) and Boldo Brasileiro (P. barbatus); 2) an experiment with Boldo Brasileiro and observed the development of this plant in relation to two nutritional conditions of the soil and four solar intensities. It was possible to identify the children’s perception of plant characteristics and the results of the experiments performed through the measurements they made on the plants, the observation of the experiment carried out, their questionnaire replies, their reports, and their drawings. This strategy contributes to children’s knowledge of abiotic (soil, light) and biotic factors (root production, and plant growth) related to plant phenotipic plasticity in response to different environmental conditions. The activities performed helped the children to construct environmental perception and deconstruct the botanic blindness that affects most people since an early age.
Revisão Bibliográfica Sobre os Fatores Viabilizadores Para a Adoção das Governanças de Dados ou de Informação

A governança de dados ou a governança de informação são campos teóricos emergentes, cujas publicações científicas originam-se no ano 2003. São campos relevantes para tratar da administrabilidade dos ativos de dados ou das informações em organizações, cujo desenho de um modelo de governança eficaz é desafiador do ponto de vista organizacional. Os fatores viabilizadores para a adoção das governanças de dados ou de informação são fundamentais para garantir maiores níveis de implementações dessas estruturas. Deste modo, esta pesquisa fundamentou-se em levantamento bibliográfico dentre as plataformas ISI Web of Science e Scopus, onde foi possível propor um modelo com cinco fatores influenciadores e sete fatores viabilizadores para a adoção da governança de dados ou de informação.
Gender-biased perceptions of important ecology articles

Gender bias is still unfortunately rife in the sciences, and men co-author most articles (> 70%) in ecology. Whether ecologists subconsciously rate the quality of their peers’ work more favourably if men are the dominant co-authors is still unclear. To test this hypothesis, we examined how expert ecologists ranked important ecology articles based on a previously compiled list. Women proposed articles with a higher average proportion of women co-authors (0.18) than did men proposers (0.07). For the 100 top-ranked articles, women voters placed more emphasis on articles co-authored by women (0.06) than did men (0.02). However, women voters were still biased because they ranked men-dominated articles more highly, albeit not by as much as men did. This effect disappeared after testing read-only articles. This indicates a persistent, subconscious bias that men-dominated articles are considered to be of higher quality before actual assessment. We add that ecologists need to examine their own subconscious biases when appointing students, hiring staff, and choosing colleagues with whom to publish.
Strategies of Integrating Public Participation Governance for Sustainable Development in Kenya

Public participation is currently the famous tool of promoting transparency, accountability and effectiveness of any modern government. Kenya adopted this system of engaging citizens in governance when the new constitution was promulgated in 2010 that ushered in a decentralized system of government. This process has however been faced with challenges. Instead of reducing conflicts between government and the public, it has heightened witnessing so many petitions of government missing on priorities in terms of development and government policies. Using analytical survey approach, this study looks into what is happening in the day-to-day running of the devolved units of government and what can be done to avert the worsening ties between government and the public. Questionnaires were used to collect primary data which was subjected to descriptive statistics. On the findings, it emerged that the government is the main problem to promoting Public participation as regimes focus more on what they talked to people during campaigns and not what people need. There is great political interference ranging from ferrying a section of people, paying and coaching them to support unpopular government program. The findings also shows that the government tries to lock out citizens during participation process by giving a short notice and not designating venues for public participation events. The study concludes with strategies of enhancing public participation and reduce negative political influence by establishing an independent commission/institution or agency that will be incharge of public participation and coordination development programs. Keywords : Public Participation, challenges of Public Participation, Strategies of enhancing public participation, sustainable Development Compliance with Ethical standards: We complied with the ethical standards of the journal. Conflict of Interest: The authors declare to have no conflict of interest. Author’s consent: The aforementioned authors had a unanimous consensus to all processes undertaken towards the paper. Research Funded by: Prof Chen Hao; School of Management, Jiangsu University; 212013 DOI : 10.7176/PPAR/9-7-06 Publication date :July 31 st 2019
Quality of Service Based Event Stream Processing Systems in Smart Grids

This paper presents an approach for composing event streams based on quality of service requirements of smart grids. The approach consists of an event stream model, composition strategies guided by quality of service requirements such as memory consumption, event priority and notification latency. Model and strategies are implemented by a distributed event stream processing system consisting of execution units that can be deployed across a smart grid. The paper describes implementation issues and experimental results.
Effect of Coopetitive Activity on Innovation and Management Performances in the Structural Context

This study intends to demonstrate whether firms’ cooperative activities, particularly ‘coopetition’, affect business performances. Coopetition, which is cooperation with competitors, is a strategic concept that suggests competition and cooperation between firms can exist simultaneously. More specifically, in order to investigate cooperation as a part of innovation mechanism, this study analysed the mediating effects of product and process innovation performances in between cooperative activities and management performances. For this purpose, we applied a structural equation model (SEM) by integrating a regression model and a logistic regression model. The former analysed the effects of cooperation and innovation on management performances, whereas the latter studied influence of cooperation on innovation performances. For empirical analysis, we utilised data from Korea Innovation Survey (KIS), which incorporates information on Korean firm’s innovation activities and their relevant performances. The results from this study can be applied to addressing and diagnosing issues in Korean industries by analysing relationships among cooperative activities, innovation outcomes and management performances in the structural context. The analysis showed that coopetition, compared to other types of cooperation, has enhanced the performance of process innovation. Furthermore, the analysis demonstrated that cooperation related positively to management performances. This study, however, also addresses the problem that Korean firms have limitations in linking these innovation performances to actual management performances of financial growth. The results highlight the significance of strategic openness and flexibility, even to competitors, as the business environment and technology market may change drastically. Coopetition strategy can work as a facilitator in providing windows of opportunity for sustainable growth through field-based innovation.
Gender difference in promotions: new evidence from the internal labor market in China

ABSTRACT Gender differences in the labor market have attracted significant attention from economists, who focus on gender differences not only in wages but also in promotions. However, the research on gender differences in promotions within the internal labor market is scant, especially in China. By taking advantage of rare personnel administration data from a large firm in China, this paper explores different aspects of the gender promotion gap, and then further discusses the contribution of several individual and organizational variables in accounting for gender differences in each aspect of promotions.
Consensus of Heterogeneous Multi-Agent Systems with Intermittent Communication

Abstract This paper studies consensus of a class of heterogeneous multi-agent systems composed of first-order and second-order agents with intermittent communication. For leaderless multi-agent systems, we propose a distributed consensus algorithm based on the intermittent information of neighboring agents. Some sufficient conditions are obtained to guarantee the consensus of heterogeneous multi-agent systems in terms of bilinear matrix inequalities (BMIs). Meanwhile, the relationship between communication duration and each control period is sought out. Moreover, the designed algorithm is extended to leader-following multi-agent systems without velocity measurements. Finally, the effectiveness of the main results is illustrated by numerical simulations.
Globalization and Health Worker Crisis: What Do Wealth-Effects Tell Us?

Owing to lack of relevant data on health human resource (HHR) migration, the empirical dimension of the health-worker crisis debate has remained void despite abundant theoretical literature. A health worker crisis is overwhelming the world. Shortages in health professionals are reaching staggering levels in many parts of the globe. This paper complements existing literature by empirically investigating the WHO hypothetical determinants of health-worker migration in the context of globalization when income-levels matter. In plainer terms, the work explores how the wealth of exporting countries play-out in the determinants of HHR emigration. We assess the determinants of emigration in the health sector through-out the conditional distribution of health human resource emigration. Findings provide very targeted policy implications based on income-levels and existing emigration levels for both physician and nurse worker crises. Beside specific policy recommendations, we also outlined broad policy measures for source-countries, recipient-states and regional (international) institutions.
Performance, financing decisions and corporate governance of Italian medium and large private family firms

This empirical study examines the relationship between financing decisions and corporate governance on the one side and firm performance on the other, concerning Italian large and medium private family firms. Tax-aggressive practices are not used to avoid a deprivation of socioemotional wealth, in terms of diminished reputation, caused by a possible tax-related lawsuit. Due to the low risk perception and most likely the profitable use of a larger quantity of cheaper debt, size improves performance. However, more solvent firms exhibit better results only when Return on Assets (ROA) is taken into account. The presence of descendants taking their place in the family business impairs performance. Short- and long-term debts are not related to the agency conflicts between owners and managers and between owners and creditors, therefore debt maturity has no influence on performance. Finally, the negative relationship between leverage and performance tends to reveal pecking order behaviour for the sampled firms. Key words: Private family firms, performance, financing choices, corporate governance, socioemotional wealth, agency conflicts.
Investigation on Deep Learning Approach for Big Data: Applications and Challenges

In recent years, big data analytics is the major research area where the researchers are focused. Complex structures are trained at each level to simplify the data abstractions. Deep learning algorithms are one of the promising researches for automation of complex data extraction from large data sets. Deep learning mechanisms produce better results in machine learning, such as computer vision, improved classification modelling, probabilistic models of data samples, and invariant data sets. The challenges handled by the big data are fast information retrieval, semantic indexing, extracting complex patterns, and data tagging. Some investigations are concentrated on integration of deep learning approaches with big data analytics which pose some severe challenges like scalability, high dimensionality, data streaming, and distributed computing. Finally, the chapter concludes by posing some questions to develop the future work in semantic indexing, active learning, semi-supervised learning, domain adaptation modelling, data sampling, and data abstractions.