Miracle-dz/UniFAR-FTUs huggingface dataset:
Is Binge Watching Bad for You? Escapism, Stress, Self-Controland Gratifications?

Is Binge Watching Bad for You? Escapism, Stress, Self-Control and Gratifications? Weipu Wang School of Communications, BYU Master of Arts The relatively new phenomenon of binge watching presents a dramatic shift from the norm of traditional television viewing. However, is this ubiquitously popular media marathon that contains negative connotations really bad for you? A survey administered to 157 television binge-watchers identified the role of stress and self-control in influencing both the gratifications sought and the consequences of binge watching through the Structural Equation Modeling (SEM) analysis. The current study found that binge watching to avoid problems is a commonly employed strategy for individuals to cope with stress. However, engaging in binge-watching behavior as a coping mechanism to purposefully avoid problems can result in feelings of guilt and regret. It is also surprising that self-control has no impact on one’s binge watching gratifications. The findings of this thesis encourage future researchers and binge watching lovers to view this new behavior from a new perspective and to practice it with caution.
Varieties of populism

© 2020 The Authors Global Strategy Journal published by Wiley Periodicals, Inc. on behalf of Strategic Management Society Research Summary: The recent electoral popularity of populism suggests our understanding of global and domestic institutions and their impact and relevance to international business may require adjustment. In particular, the literature may be omitting key variables as to what the political environment entails. We propose a framework for understanding the differing varieties of populism. We examine what channels populist thought operates through and how various strains of populism concentrate on different facets of society. We articulate an operational definition for international strategy based upon prior research in economics, political science, and history. This framework is incorporated into current research on institutional theory as applied in international business, with the goal of proposing a more nuanced and foundational view of institutional environments and how they impact global strategy. Managerial Summary: The surge of populism globally—but especially in developed economies—has highlighted new perils for business strategy. Our current models of strategic thinking have not yet caught up to the reality of populism's moment, nor have they accurately captured what are increasingly important facets of a political system, such as traits of specific leaders. This paper examines the need to incorporate new perspectives on institutions into global strategy. In particular, we highlight the various varieties of populism—whether it focuses on economic, social, or political ends—and how each approach can impact a business in a different manner. In doing so, we provide some clarity and guidance for managers faced with political turbulence.
Hypothesis testing of Geographically weighted bivariate logistic regression

In this study, the hypothesis testing of geographically weighted bivariate logistic regression (GWBLR) procedure is proposed. The GWBLR model is a bivariate logistic regression (BLR) model which all of the regression parameters depend on the geographical location in the study area. The geographical location is expressed as a point coordinate in two-dimensional geographic space (longitude and latitude). The response variables of BLR model are constructed from a (2 × 2) contingency table and it follows the multinomial distribution. The purpose of this study is to test the GWBLR model parameters. There are three hypothesis tests. The first is a parameters similarity test using the Vuong test method. The test is to obtain a significant difference between GWBLR and BLR. The second is a simultaneous test using the likelihood ratio test method. The simultaneous test is to obtain the simultaneous significance of the regression parameters. The last is a partial test using Wald test method. The result showed that the Vuong statistic and Wald statistic have an asymptotic standard normal distribution, whereas the likelihood ratio statistic has an asymptotic chi-squared distribution.
The term structure of Eurozone peripheral bond yields: an asymmetric regime-switching equilibrium correction approach

Abstract Several studies have established the predictive power of the yield curve i.e. the difference between long and short-term bond rates and the role of asymmetries in the term structure of bond yields with respect to real economic activity. Using an extensive dataset, comprising 3-month, 1-year, 5-year and 10-year constant maturity Treasury bonds for the Eurozone southern periphery countries – the so-called “PIIGS” – from January 1999 to April 2019, we investigate the links between bond yields of different maturities for the Eurozone southern peripheral countries and we find they co-evolve in line with the predictions of the Expectations Hypothesis theory. We demonstrate the presence of nonlinearities in the term structure, and utilize a multivariate asymmetric two-regime Markov-switching VAR methodology to model them properly. Moreover, we address the economic reasoning behind the introduction of an equilibrium-correction regime-switching approach, hence providing potentially important insights on the behaviour of the entire yield curve. We reveal that the regime shifts are related to the state of the business cycle, particularly in economies in which monetary policy decisions are implemented via changes in short-term rates as a response to deviations of output from equilibrium levels. Our results may have important statistical and economic implications on the behaviour of the term structure of bond yields.
Enhancing Employee Engagement Through Training and Development

The present study was aimed to map the impact of Training and Development practices on overall employee engagement and also with respect to different factors of employee engagement. These factors are Job Satisfaction, Organizational Commitment, Advocacy, Pride, Intention to Stay and Emotional Connect. A self administered questionnaire was used to collect primary data of 450 respondents. The results of the study revealed that there is a significant effect of Training and development on Job satisfaction, Organizational commitment, Advocacy, Pride, Intention to stay and overall employee engagement score. However, training and development had no effect on Emotional connect of the employees.
A generalization on character Connes-amenability

In the current paper, we introduce the concepts of left ? -approximate Connes-amenability and left character approximate Connes-amenability of a dual Banach algebra A that ? is a ? *-continuous homomorphism fromAto C. We also characterize left ? -approximate Connes-amenability ofAin terms of certain derivations and study some hereditary properties for such Banach algebras. Some examples show that these new notions are different from approximate Connes-amenability and left character Connesamenability for dual Banach algebras.
Evaluating the value of persuasive technology and the role of teachers in a blended learning course for social work students

ABSTRACT Introduction: In this study, a blended learning course, designed using a participatory design approach and Persuasive Technology (PT), was evaluated by students and teachers. The use of a participatory design and PT may help facilitate a blended learning course that motivates students and supports teachers in this relatively new field. Method: Students received the blended course as part of their regular curriculum. Subsequently, interviews with students (N = 10) and teachers (N = 3), as well as a survey among students (N = 35) were held to evaluate the blended course. Results: Most of the PT which was implemented motivated the students to participate in the online course. The techniques suggestions, similarity, reduction, self-monitoring and tunneling seemed to specifically motivate students. According to the students, their teachers sufficiently integrated the online course with the Face to Face Classes. Teachers stated that they stimulated intrinsic motivation, supported students to complete their tasks and facilitated the blended learning process (integrating the different elements of a blended learning course). Discussion/Conclusion: The use of PT motivated students. Teachers played a crucial role in merging different aspects of the blended learning course. Future challenges would be the implementation of social support online.
Traveling to a Gendered Destination: A Goal-Framed Advertising Perspective

This study aims to investigate how goal-framed advertising messages paired with destination gender can influence travel decisions. A 2 (goal-framed messages: gain vs. loss) × 2 (destination gender: masculine vs. feminine) between-subjects experiment is conducted with an online consumer panel. Analysis of variance results indicate that gain-framed messages (vs. loss-framed messages) offer a greater advantage in triggering travel intentions toward masculine destinations. This relationship is mediated by processing fluency and gender identity congruity. When a masculine (vs. feminine) tourism destination is portrayed by gain-framed (vs. loss-framed) messages, consumers experience higher processing fluency and perceive greater congruence of gender identity, causing them to be more willing to travel. Findings suggest a matching effect of goal-framed marketing strategy and destination gender. Discussions and implications for destination managers are also presented.
Estudo sobre a premiação das áreas de segurança pública no Rio de Janeiro via método multicritério: uma aplicação do método Electre III

O presente estudo aplicou um multi-criteria decision analysis (MCDA) para obtenção do ranking das Áreas Integradas de Segurança Pública (AISP), para fins de premiação pelo Sistema Integrado de Metas (SIM). A aplicação de um MCDA teve o objetivo de eliminar o efeito compensatório dos critérios, evitando que o sucesso em um critério compensasse o fracasso em outro. O método escolhido foi ELECTRE III (ELimination Et Choix Traduisant la REalité), pois o problema em análise adequava-se ao tipo (P.γ). Quantos aos fins, a metodologia pode ser classificada como metodológica e aplicada e quanto aos meios, bibliográfica, documental e de laboratório. Os dados foram obtidos em colaboração com a Polícia Militar do Estado do Rio de Janeiro, em janeiro de 2017, referindo-se à 12ª edição de premiação do SIM, ocorrida no primeiro semestre de 2015. A escolha desta edição deu-se pelo fato de ser a única em que onze AISPs empataram em primeiro lugar. Para efeito de geração das matrizes de concordância, discordância, credibilidade, ranking parcial e final, foi utilizado o software J-Electre. Como resultado da aplicação do método ELECTRE III, obteve-se um ranking sem empate entre as três primeiras colocações. A eliminação do efeito compensatório pode ser percebida comparando-se os resultados obtidos pelo SIM versus o ELECTRE III, onde a ordem de classificação das unidades foi alterada em 94,87%.
Adaptive Bitrate Video Streaming in Non-Orthogonal Multiple Access Networks

Facing the ever-increasing demand for high quality video streaming and the dramatic variations of wireless network environment, adaptive bitrate video streaming (ABS) emerges as a prominent video quality adaptation technique in improving users’ quality of experience (QoE). Reinforcement learning (RL)-based ABS and network-assisted ABS can improve users’ QoE through resource utilization efficiency enhancement. However, limited network capacity is still the bottleneck of QoE improvement. Considering the potential capacity gain of non-orthogonal multiple access (NOMA), we study network-assisted ABS in NOMA networks. Based on a synchronous video streaming model and the knowledge of channel state information for next segment, a joint optimization problem of resource allocation and bitrate adaptation is formulated to maximize users’ QoE and minimize energy consumption. The original problem is NP-hard and intractable due to the interference coordination problem introduced by NOMA and the multi-slot sum rate constraint. We decompose the original problem into the subproblem of joint subchannel assignment and power allocation (JSAPA), and the subproblem of bitrate adaptation (BA) with Lagrange relaxation method. A joint resource allocation and bitrate adaptation (JRABA) algorithm is further proposed to solve the JSAPA and BA subproblems iteratively. Specifically, the JSAPA subproblem is solved by an extended Gale-Shapley matching algorithm and differ of convex (DC) programming method iteratively. For the BA subproblem, appropriate video bitrate is explored with subgradient method. Numerical results validate the effectiveness of the proposed algorithm and reveal that network-assisted ABS in NOMA networks benefits users in achieving higher QoE with less energy consumption, especially when radio resources are insufficient or with large segment size.
A Survey of Identity Modeling and Identity Addressing in Internet of Things

With the development of the Internet of Things (IoT), the physical space we are living in is experiencing unprecedented digitalization and virtualization. It is an overwhelming trend to achieve the convergence between the physical space and cyberspace, where the fundamental problem is to realize the accurate mapping between the two spaces. Therefore, identity modeling and identity addressing, which serve as the main bridge between the physical space and cyberspace, are regarded as important research areas. This article summarizes the related works regarding identity modeling and identity addressing in IoT, and makes a general comparison and analysis based on their respective features. Following that a flexible and low coupling framework, with strong independence between different modules is proposed, where both identity modeling and identity addressing are integrated. Meanwhile, we discuss and analyze the future development and challenges of identity modeling and addressing. It is proved that identity modeling and identity addressing are extremely significant topics in the era of IoT.
Enhanced Efficiency of Electrostatically Actuated Bistable Microswitches Using Bow-Like Operation

To induce snap-through (ST) switching in an electrostatically actuated bistable latchable curved microbeam, a close gap electrode facing the concave surface of the beam is commonly used. In the framework of an alternative architecture considered here, the electrode is placed in front of the convex (backward), rather than concave (forward) side of a beam. The initially curved stress free beam is activated by an electrostatic force pulling it quasistatically in the backward direction, away from the desired buckled configuration. Once the voltage is turned off, the accumulated strain energy is released, and the beam is catapulted toward the buckled state, similarly to an arrow fired by a bow. In the case where the beam exhibits latching, the device may remain in its buckled state indefinitely under zero voltage. The beam can also be snapped back (released), by applying a voltage to the same electrode. In this article, the efficiency of this bow-like actuation is estimated. By means of a reduced order model, it is shown that due to the nonlinearity of the electrostatic force, the suggested operation scenario may lead to a 54${\%}$ reduction in the ST switching voltage, when compared to the traditional forward actuation. As a result, the device allows bidirectional switching by using a single electrode, and can be viewed as a micromechanical realization of a toggle flip-flop element.
PERGESERAN PERAN BUZZER KE DUNIA POLITIK DI MEDIA SOSIAL

Penelitian ini bertujuan untuk mengetahui bagaimana pergeseran peran buzzer di media sosial. Buzzer pada awalnya digunakan untuk mempromosikan suatu produk tertentu dengan atau tanpa imbalan tertentu. Namun di tahun 2012 menjadi awal keterlibatan Buzzer dalam peristiwa politik yaitu pada Pemilihan Gubernur DKI Jakarta. Buzzer dimanfaatkan secara luas dalam dunia politik ketika adanya Pemilihan Presiden (Pilpres 2014) dan jasa buzzer mulai dilirik oleh aktor-aktor politik. Pesan kampanye yang disebarkan oleh buzzer politik cenderung merupakan kampanye negatif bukan kampanye positif. Hal tersebut dikhawatirkan akan memunculkan berita-berita hoax dan memicu perselisihan. Sehingga perlu adanya upaya pencerdasan publik di tengah fenomena buzzer, terutama yang bergerak di media sosial.
Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization

Generalization enables applying past experience to similar but nonidentical situations. Therefore, it may be essential for adaptive behaviors. Recent neurobiological observation indicates that the striatal dopamine system achieves generalization and subsequent discrimination by updating corticostriatal synaptic connections in differential response to reward and punishment. To analyze how the computational characteristics in this system affect behaviors, we proposed a novel reinforcement learning model with multilayer neural networks in which the synaptic weights of only the last layer are updated according to the prediction error. We set fixed connections between the input and hidden layers so as to maintain the similarity of inputs in the hidden-layer representation. This network enabled fast generalization, and thereby facilitated safe and efficient exploration in reinforcement learning tasks, compared to algorithms which do not show generalization. However, disturbance in the network induced aberrant valuation. In conclusion, the unique computation suggested by corticostriatal plasticity has the advantage of providing safe and quick adaptations to unknown environments, but on the other hand has the potential defect which can induce maladaptive behaviors like delusional symptoms of psychiatric disorders. Author summary The brain has an ability to generalize knowledge obtained from reward- and punishment-related learning. Animals that have been trained to associate a stimulus with subsequent reward or punishment respond not only to the same stimulus but also to resembling stimuli. How does generalization affect behaviors in situations where individuals are required to adapt to unknown environments? It may enable efficient learning and promote adaptive behaviors, but inappropriate generalization may disrupt behaviors by associating reward or punishment with irrelevant stimuli. The effect of generalization here should depend on computational characteristics of underlying biological basis in the brain, namely, the striatal dopamine system. In this research, we made a novel computational model based on the characteristics of the striatal dopamine system. Our model enabled fast generalization and showed its advantage of providing safe and quick adaptation to unknown environments. By contrast, disturbance of our model induced abnormal behaviors. The results suggested the advantage and the shortcoming of generalization by the striatal dopamine system.
In Situ Engagement During Structured Leisure Experiences: Conceptualization, Measurement, and Theory Testing

Abstract We conducted an experiment to test theoretical propositions relating coherence, personalization, and provocation to in-situ engagement, deep experience, delight, and perceived value of time spent. Four hundred adults from a national panel viewed one of eight versions of a video centered on a character in Victor Hugo’s classic novel Les Misérables, and then completed measures of engagement, deep experience, delight, perceived value of time spent, preexisting familiarity with the story, and the subjective experience of provocation. Each video represented a unique combination of presence or absence of the three hypothesized determinants: coherence, personalization, and provocation. Coherence, personalization, and preexisting familiarity with the story had significant effects on engagement. Provocation action increased engagement via its effect on the subjective experience of provocation. Engagement was a significant predictor of deep experience, and deep experience was a significant predictor of both delight and perceived value of time spent in the activity.
Symptoms, unmet need, and quality of life among recent breast cancer survivors

T here are currently more than 2.8 million breast cancer survivors in the United States primarily as a result of advances in early detection, surgical and chemotherapeutic procedures, focused radiation, and effective adjuvant therapeutic options, including tamoxifen and aromatase inhibitors (AIs). That number will continue to increase, and about 89% of women diagnosed with breast cancer can now expect to survive 5 years or longer. These life-saving advances have come at a cost, however, and a significant number of these women will have life-long medical and psychosocial concerns as a result of their cancer and the treatment they received. Pain, fatigue, peripheral neuropathy, distress, hormonal symptoms, and other effects of interventional therapies have been noted to be prevalent among women in the years following treatment, 6 with previous findings suggesting that in the 5-year period after initial treatment for breast cancer more than 80% women will experience at least 1 bothersome symptom. The overall quality of life (QoL) of a woman with breast cancer can be influenced by numerous physical and psychosocial issues, which should be addressed by the health care team from the time of diagnosis through survivorship. However, providers often fail to recognize those issues, particularly if they are subjective in nature (eg, fatigue) even in highly controlled clinical trials. Thus, patient reports remain the gold standard, 12 and unless they are elicited by direct inquiry, they may go unreported by survivors leading to unmet psychosocial and physical needs. Such unmet needs appear to be common among cancer patients. Houts and colleagues, in the mid-1980s, found that 51% of cancer patients reported at least 1 unmet need in the year following active treatment, and a more recent replication of this research suggests that this problem has not