As a generation of ‘digital natives,’ secondary students who were born from 2002 to 2010 have various approaches to acquiring digital knowledge. Digital literacy and resilience are crucial for them to navigate the digital world as much as the real world; however, these remain under-researched subjects, especially in developing countries. In Vietnam, the education system has put considerable effort into teaching students these skills to promote quality education as part of the United Nations-defined Sustainable Development Goal 4 (SDG4). This issue (...) has proven especially salient amid the COVID−19 pandemic lockdowns, which had obliged most schools to switch to online forms of teaching. This study, which utilizes a dataset of 1061 Vietnamese students taken from the United Nations Educational, Scientific, and Cultural Organization (UNESCO)’s “Digital Kids Asia Pacific (DKAP)” project, employs Bayesian statistics to explore the relationship between the students’ background and their digital abilities. Results show that economic status and parents’ level of education are positively correlated with digital literacy. Students from urban schools have only a slightly higher level of digital literacy than their rural counterparts, suggesting that school location may not be a defining explanatory element in the variation of digital literacy and resilience among Vietnamese students. Students’ digital literacy and, especially resilience, also have associations with their gender. Moreover, as students are digitally literate, they are more likely to be digitally resilient. Following SDG4, i.e., Quality Education, it is advisable for schools, and especially parents, to seriously invest in creating a safe, educational environment to enhance digital literacy among students. (shrink)

Aims and Scope -/- The Vietnamese Social Sciences and Humanities at a Fork in the Road, utilizing an object-oriented structured database on the productivity of Vietnamese researchers, seeks to provide a comprehensive overview of the development of Social Sciences and Humanities in Vietnam from 2008 to 2018. -/- Quan-Hoang Vuong (Ph.D., Université Libre de Bruxelles) is the director of Centre for Interdisciplinary Social Research, Phenikaa University in Hanoi, Vietnam. He is chairman of the Vietnam chapter of the European Association of (...) Science Editors and serves in the NAFOSTED Scientific Council on Basic Research in the Social Sciences and Humanities (2019-2021). Dr. Vuong has published more than 120 academic articles, and book chapters in about 50 refereed journals and books by such publishers as Elsevier, Inderscience, Nature Publishing Group, Springer, Praeger, Wiley, World Scientific, etc. -/- Trung Tran is an Associate Professor of Mathematics Education and works at Vietnam Academy for Ethnic Minorities. He is a member of the Vietnam chapter of The European Association of Science Editors (EASE), a leader of the Vietnamese Science Editors (VSE) Team, and a chairman of Editor's Board of Journal of Ethnic Minorities Research (ISSN: 0866-773X). (shrink)

The digital era brings various benefits to adolescents. However, operating on the digital environment without sufficient knowledge and skills will expose them to multiple types of risks, especially in the country with low digital safety education rate like Vietnam. The current study examines factors that can contribute to cultivating adolescents’ digital resilience using the information-processing reasoning of the Mindsponge Theory. A UNESCO dataset of 1061 Vietnamese high school students was analyzed using the Bayesian Mindsponge Framework analytics. It is found that (...) adolescents’ daily Internet usage frequency, parents’ Internet safety guidance, and teachers’ safety guidance are positively associated with digital resilience. However, the effects of parents’ and teachers’ Internet safety guidance on digital resilience are conditional on the daily Internet usage frequency. Parents’ guidance only enhances adolescents’ digital resilience if they use the Internet less than four hours per day. In contrast, the positive effect of teachers’ guidance on adolescents’ digital resilience becomes stronger when the students spend more time on the Internet (more than 1 hour). Based on these findings, we suggest that adolescents can learn to minimize risks and protect themselves by exposing more to the digital environment. Parents’ and teachers’ supports are important in enhancing adolescents’ capability to deal with digital threats, but types of supports need to be carefully considered to avoid reverse impacts on adolescents’ resilience. (shrink)

Folklore has a critical role as a cultural transmitter, all the while being a socially accepted medium for the expressions of culturally contradicting wishes and conducts. In this study of Vietnamese folktales, through the use of Bayesian multilevel modeling and the Markov chain Monte Carlo technique, we offer empirical evidence for how the interplay between religious teachings (Confucianism, Buddhism, and Taoism) and deviant behaviors (lying and violence) could affect a folktale’s outcome. The findings indicate that characters who lie and/or commit (...) violent acts tend to have bad endings, as intuition would dictate, but when they are associated with any of the above Three Teachings, the final endings may vary. Positive outcomes are seen in cases where characters associated with Confucianism lie and characters associated with Buddhism act violently. The results supplement the worldwide literature on discrepancies between folklore and real-life conduct, as well as on the contradictory human behaviors vis-à-vis religious teachings. Overall, the study highlights the complexity of human decision-making, especially beyond the folklore realm. (shrink)

Universities and funders in many countries have been using Journal Impact Factor (JIF) as an indicator for research and grant assessment despite its controversial nature as a statistical representation of scientific quality. This study investigates how the changes of JIF over the years can affect its role in research evaluation and science management by using JIF data from annual Journal Citation Reports (JCR) to illustrate the changes. The descriptive statistics find out an increase in the median JIF for the top (...) 50 journals in the JCR, from 29.300 in 2017 to 33.162 in 2019. Moreover, on average, elite journal families have up to 27 journals in the top 50. In the group of journals with a JIF of lower than 1, the proportion has shrunk by 14.53% in the 2015–2019 period. The findings suggest a potential ‘JIF bubble period’ that science policymaker, university, public fund managers, and other stakeholders should pay more attention to JIF as a criterion for quality assessment to ensure more efficient science management. (shrink)

This paper applies a proposed modified stochastic fractal search algorithm (MSFS) for dealing with all constraints of optimal reactive power dispatch (ORPD) and finding optimal solutions for three different cases including power loss optimization, voltage deviation optimization, and L-index optimization. The proposed MSFS method is newly constructed in the paper by modifying three new solution update mechanisms on standard stochastic fractal search algorithm (SSFS). The first modification is to keep only one formula and abandon one formula in the diffusion process (...) while the second modification and the third modification are used in the first update and the second update. In two updates of SSFS, solutions with low quality are updated with high probability while other solutions with high quality do not get chances to be updated. This manner results in the fact that some promising solutions around the high quality solutions can be missed. In order to tackle this restriction, the second modification of MSFS is to newly update the worst solutions in the first update and the best solutions in the second update. In the third modification, all existing formulas of SSFS in the two updates are abandoned and the same new proposed technique is used for updating such solutions in two updates. Compared to SSFS, the three modifications can bring advantages to MSFS such as using smaller number of produced solutions per iteration, spending shorter execution time, finding better optimal solutions, and owning more stable search ability. Furthermore, the proposed method also sees its effectiveness and robustness over SSFS by testing on IEEE 30-bus system and IEEE 118-bus system with three different single objectives for each system. The proposed method can find less minimum, average, and maximum for all the cases in addition to faster search speed. Besides, the proposed method is also compared to other methods such as PSO-based method group, GA-based method group, DE-based method group, and other recent methods. Result comparisons also indicate that the proposed method can be more efficient than almost all these methods with respect to less minimum and smaller values of control parameters. As a result, evaluation of the performance of the proposed method is that it should be used for seeking solutions of ORPD problem. (shrink)

Vietnam, with a geographical proximity and a high volume of trade with China, was the first country to record an outbreak of the new Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or SARS-CoV-2. While the country was expected to have a high risk of transmission, as of April 4, 2020—in comparison to attempts to contain the disease around the world—responses from Vietnam are being seen as prompt and effective in protecting the interests of its citizens, (...) with 239 confirmed cases and no fatalities. This study analyzes the situation in terms of Vietnam’s policy response, social media and science journalism. A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items. The findings shed light on how Vietnam—despite being under-resourced—has demonstrated political readiness to combat the emerging pandemic since the earliest days. Timely communication on any developments of the outbreak from the government and the media, combined with up-to-date research on the new virus by the Vietnamese science community, have altogether provided reliable sources of information. By emphasizing the need for immediate and genuine cooperation between government, civil society and private individuals, the case study offers valuable lessons for other nations concerning not only the concurrent fight against the COVID-19 pandemic but also the overall responses to a public health crisis. (shrink)

United Nations’ Sustainable Development Goals 4 Quality Education has highlighted major challenges for all nations to ensure inclusive and equitable quality access to education, facilities for children, and young adults. The SDG4 is even more important for developing nations as receiving proper education or vocational training, especially in science and technology, means a foundational step in improving other aspects of their citizens’ lives. However, the extant scientific literature about STEM education still lacks focus on developing countries, even more so in (...) the rural area. Using a dataset of 4967 observations of junior high school students from a rural area in a transition economy, the article employs the Bayesian approach to identify the interaction between gender, socioeconomic status, and students’ STEM academic achievements. The results report gender has little association with STEM academic achievements; however, female students (αa_Sex[2] = 2.83) appear to have achieved better results than their male counterparts (αa_Sex[1] = 2.68). Families with better economic status, parents with a high level of education (βb(EduMot) = 0.07), or non-manual jobs (αa_SexPJ[4] = 3.25) are found to be correlated with better study results. On the contrary, students with zero (βb(OnlyChi) = -0.14) or more than two siblings (βb(NumberofChi) = -0.01) are correlated with lower study results compared to those with only one sibling. These results imply the importance of providing women with opportunities for better education. Policymakers should also consider maintaining family size so the parents can provide their resources to each child equally. (shrink)

Nghiên cứu sự phát triển của Nho giáo từ thời kỳ Cổ đại đến khi học thuyết của Khổng Tử ra đời, giới thiệu những bộ sách, môn đồ, tư tưởng của Khổng Tử qua các thời kỳ phát triển của đất nước Trung Hoa. Giới thiệu quá trình phát triển của Nho giáo ở Việt Nam. Mỗi thời kỳ đều gắn với tên tuổi của các nhà Nho hoặc giáo phái lớn.

Cải cách tiền lương là một trong những nội dung quan trọng sẽ được thảo luận tại Kỳ họp thứ 6, Quốc hội khóa XV và đây cũng là một trong những chìa khoá để mở ra các chính sách đãi ngộ nhằm góp phần xây dựng, phát triển đội ngũ trí thức nước nhà, đáp ứng yêu cầu phát triển đất nước nhanh và bền vững trong giai đoạn mới như nội dung mà Hội nghị Trung ương 8 (...) khoá XIII, Ban Chấp hành Trung ương Đảng đã thảo luận. (shrink)

The experiential self in interaction with an object is not, as Richard Rorty emphasizes, an inherent attribute that exists before real interactions, nor is it an entity with fixed characteristics. What Rorty constantly highlights is that the interaction in forming the self must achieve self-awareness as an entity impacted, acknowledged, and evaluated by others. This line of interpretation leads to two important concepts regarding the self’s formation that need to be clarified: First, when an individual expands his/her ability to manage (...) space outside the reach of his/her physical person and visual perception, it is imperative that the individual is aware that he/she is controlling his/her own body. Second, the reciprocal effect from others cannot make the individual self-aware of his/her own existence as an independent entity if there is a lack of the other’s skepticism and questioning of the subject himself/herself. In this step of the self-experience process, the self’s attributes and its existence in relation to its surroundings are questioned. This article will focus on the explanation of the feasibility of perceiving the self as a form made up of biological premises and the awareness of the self as a living entity with contingent and flexible characteristics. (shrink)

Despite receiving a great deal of research attention, the effect of corporate philanthropy on shareholder value remains inconclusive. To address this issue, the present paper examines emotionality as an important factor based on which investors infer about the firm’s motive as well as the beneficiary’s worthiness and react accordingly. Consistent with attribution theory, our event study shows that announcements with more emotional expressions are associated with higher cumulative abnormal stock returns and the effect is stronger when investor attention is greater. (...) We further find that the positive interaction effect between emotionality and investor attention is more pronounced for scandal-free firms than for firms with corporate social irresponsibility (CSI). The empirical evidence remains consistent under various robustness tests. The paper concludes with implications for future research and managerial practices. (shrink)

Objective: Caloric vestibular stimulation has traditionally been used as a tool for neurological diagnosis. More recently, however, it has been applied to a range of phenomena within the cognitive neurosciences. Here, we provide an overview of such studies and review our work using CVS to investigate the neural mechanisms of a visual phenomenon - binocular rivalry. We outline the interhemispheric switch model of rivalry supported by this work and its extension to a metarivalry model of interocular-grouping phenomena. In addition, studies (...) showing a slow rate of binocular rivalry in bipolar disorder are discussed, and the relationship between this finding and the interhemispheric switch model is described. We also review the effects of CVS in various clinical contexts, explain how the technique is performed and discuss methodological issues in its application. (shrink)

The diversity and complexity of the arguments and criticisms among philosophers on the question of the actual existence of the self can be condensed into two contrasting issues: The self is an experienced phenomenon that is generalized into a concept to assign to the cognitive subject as a tool for identification, or the self has its own existence as a transcendental entity that is activated and developed through interactions between the cognitive subject and the environment. Dan Zahavi summed up the (...) endless controversy over the formation of the self in phenomenology, existentialism, and new insights in neuroscience to conclude that the existence of the self is only meaningful when it is "the experiential self." My article will focus on two issues: firstly, the self is formed by the interaction between the subject and the object in which the object is actively engaged in the control space of the subject; secondly, the understanding of the subject’s self-perception process, through the perspective of neuroscience, is triggered by the subject seeing itself in the other person. (shrink)

A critical issue in executive control is how the nervous system exerts flexibility to inhibit a prepotent response and adapt to sudden changes in the environment. In this study, force measurement was used to capture “partial” unsuccessful trials that are highly relevant in extending the current understanding of motor inhibition processing. Moreover, a modified version of the stop-signal task was used to control and eliminate potential attentional capture effects from the motor inhibition index. The results illustrate that the non-canceled force (...) and force rate increased as a function of stop-signal delay, offering new objective indices for gauging the dynamic inhibitory process. Motor response was a function of delay in the presentation of novel/infrequent stimuli. A larger lateralized readiness potential amplitude in go and novel stimuli indicated an influence of the novel stimuli on central motor processing. Moreover, an early N1 component reflects an index of motor inhibition in addition to the N2 component reported in previous studies. Source analysis revealed that the activation of N2 originated from inhibitory control associated areas: the right inferior frontal gyrus, pre-motor cortex, and primary motor cortex. Regarding partial responses, LRP and error-related negativity were associated with error correction processes, whereas the N2 component may indicate the functional overlap between inhibition and error correction. In sum, the present study has developed reliable and objective indices of motor inhibition by introducing force, force-rate and electrophysiological measures, further elucidating our understandings of dynamic motor inhibition and error correction. (shrink)

In an Internet of Things (IoT) environment, IoT devices are typically connected through different network media types such as mobile, wireless and wired networks. Due to the pervasive nature of such devices, they are a potential evidence source in both civil litigation and criminal investigations. It is, however, challenging to identify and acquire forensic artefacts from a broad range of devices, which have varying storage and communication capabilities. Hence, in this paper, we first propose an IoT network architecture for the (...) forensic purpose that uses machine learning algorithms to autonomously detect IoT devices. Then we posit the importance of focusing on the links between different IoT devices (e.g. whether one device is controlled or can be accessed from another device in the system), and design an approach to do so. Specifically, our approach adopts a graph for modelling IoT communications’ message flows to facilitate the identification of correlated network traffic based on the direction of the network and the associated attributes. To demonstrate how such an approach can be deployed in practice, we provide a proof of concept using two IoT controllers to generate 480 commands for controlling two IoT devices in a smart home environment and achieve an accuracy rate of 98.3% for detecting the links between devices. We also evaluate the proposed autonomous discovering of IoT devices and their activities in a TCP network by using real-world measurements from a public dataset of a popular off-the-shelf smart home deployed in two different locations. We selected 39 out of 81 different IoT devices for this evaluation. (shrink)

Recent studies in pedestrian simulation have been able to construct a highly realistic navigation behaviour in many circumstances. However, when replicating the close interactions between pedestrians, the replicated behaviour is often unnatural and lacks human likeness. One of the possible reasons is that the current models often ignore the cognitive factors in the human thinking process. Another reason is that many models try to approach the problem by optimising certain objectives. On the other hand, in real life, humans do not (...) always take the most optimised decisions, particularly when interacting with other people. To improve the navigation behaviour in this circumstance, we proposed a pedestrian interacting model using reinforcement learning. Additionally, a novel cognitive prediction model, inspired by the predictive system of human cognition, is also incorporated. This helps the pedestrian agent in our model to learn to interact and predict the movement in a similar practice as humans. In our experimental results, when compared to other models, the path taken by our model’s agent is not the most optimised in certain aspects like path lengths, time taken and collisions. However, our model is able to demonstrate a more natural and human-like navigation behaviour, particularly in complex interaction settings. (shrink)

This paper is an empirical analysis of how culture, specifically tradition, affects well-being, i.e., happiness, life satisfaction, and financial satisfaction, along with socioeconomic factors in East Asia. Ordered probit regression model results show that women have higher happiness and satisfaction levels than men even in Confucian cultures in which men generally receive more favourable conditions than women. Additionally, marital status or the impact of religion had strong and positive effects on happiness and sometimes on life satisfaction but not on financial (...) satisfaction. Interestingly, tradition has a statistically significant and important effect on both life and financial satisfaction. Finally, the results show that individuals who value tradition greater also have higher levels of financial satisfaction. (shrink)

Dinh, Hoa Trung At the forefront of the current debate on 'assisted death' is the autonomy argument. Advocates of assisted death often appeal to respect for autonomy as a trump card that can override all other considerations: the value of human life, the prohibition of killing in the medical tradition, and other social responsibilities. For Kant, who invented the concept of autonomy and regarded it as the manifestation of human dignity, the concept of killing oneself is rationally indefensible and (...) totally at odds with the exercise of autonomy. This article discusses the origin of respect for autonomy in health ethics, and provides a Kantian critique of physician-assisted death. (shrink)

Dinh, Hoa Trung Every war is sustained by a narrative that explains the conflict and the necessity of the use of force. A war narrative gives the assembly a common identity, a sense of solidarity, and a mandate for action. This paper examines the ethical significance of war narratives, with particular reference to the Vietnam War, and how war narratives can continue to foster enmity for decades after the fighting. The paper discusses two war narratives that played vital roles (...) in the Vietnam conflict: the Revolution narrative, and the Republic narrative. Drawing from the works of Jon Sobrino and Jurgen Moltmann, who identify the crucified Christ with the victims of violence, this paper demonstrates that the cross can offer a new vision for peaceful coexistence beyond war and animosity. (shrink)

There exist two conjectures for constraint satisfaction problems of reducts of finitely bounded homogeneous structures: the first one states that tractability of the CSP of such a structure is, when the structure is a model-complete core, equivalent to its polymorphism clone satisfying a certain nontrivial linear identity modulo outer embeddings. The second conjecture, challenging the approach via model-complete cores by reflections, states that tractability is equivalent to the linear identities satisfied by its polymorphisms clone, together with the natural uniformity on (...) it, being nontrivial. We prove that the identities satisfied in the polymorphism clone of a structure allow for conclusions about the orbit growth of its automorphism group, and apply this to show that the two conjectures are equivalent. We contrast this with a counterexample showing that [Formula: see text]-categoricity alone is insufficient to imply the equivalence of the two conditions above in a model-complete core. Taking another approach, we then show how the Ramsey property of a homogeneous structure can be utilized for obtaining a similar equivalence under different conditions. We then prove that any polymorphism of sufficiently large arity which is totally symmetric modulo outer embeddings of a finitely bounded structure can be turned into a nontrivial system of linear identities, and obtain nontrivial linear identities for all tractable cases of reducts of the rational order, the random graph, and the random poset. Finally, we provide a new and short proof, in the language of monoids, of the theorem stating that every [Formula: see text]-categorical structure is homomorphically equivalent to a model-complete core. (shrink)

We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks. On the other hand, we explore the benefits from combining lexical features and latent features generated with neural networks. Our experiments show that lexical features and latent features generated with neural networks complement each other to improve the retrieval system performance. Furthermore, our experimental results suggest the (...) importance of case summarization in different aspects: using provided summaries and performing encoded summarization. Our approach achieved F1 of 65.6% and 57.6% on the experimental datasets of legal case retrieval tasks. (shrink)

The COVID-19 pandemic prompted a nudge for public–private cooperation in healthcare to rapidly cope with limited resource. However, Vietnam’s historical reliance on a public healthcare system, combined with a traditional emphasis on socialization in the Polanyian sense, hindered the swift integration of the private sector. This research investigates path dependency in Vietnam’s public health sector, using theories including path dependency, Karl Polanyi’s double movement with legal analysis method to analyze the interplay of historical decisions, and socialist policies in healthcare. Recognizing (...) these institutional and market governance flaws, a deeper understanding of the role of law becomes vital in crafting strategies for a more resilient and sustainable healthcare system in Vietnam. In this article, Ho Chi Minh City is chosen as a case study due to its notable mix of public–private healthcare facilities and its status as a leading area in infection cases during the third COVID-19 wave. The article suggests that there should be a change in the way public and private sectors work together, one that is more in line with market-driven solutions which requires solid legal framework for cooperation beyond merely mobilizing resources. (shrink)

Business Ethics: A European Review, EarlyView.

Investigation of neural and cognitive processes underlying individual variation in moral preferences is underway, with notable similarities emerging between moral- and risk-based decision-making. Here we specifically assessed moral distributive justice preferences and non-moral financial gambling preferences in the same individuals, and report an association between these seemingly disparate forms of decision-making. Moreover, we find this association between distributive justice and risky decision-making exists primarily when the latter is assessed with the Iowa Gambling Task. These findings are consistent with neuroimaging studies (...) of brain function during moral and risky decision-making. This research also constitutes the first replication of a novel experimental measure of distributive justice decision-making, for which individual variation in performance was found. Further examination of decision-making processes across different contexts may lead to an improved understanding of the factors affecting moral behaviour. (shrink)

This paper presents a novel improved firefly algorithm (IFA) to deal the problem of the optimal operation of thermal generating units (OOTGU) with the purpose of reducing the total electricity generation fuel cost. The proposed IFA is developed based on combining three improvements. The first is to be based on the radius between two solutions, the second is updated step size for each considered solution based on different new equations, and the third is to slightly modify a formula producing new (...) solutions by using normally distributed random numbers and canceling uniform random numbers of conventional firefly algorithm (FA). The effect of each proposed improvement on IFA is investigated by executing five benchmark functions and two different systems. The performance of IFA is investigated on six other study cases consisting of different types of objective function and complex level of constraints. The objective function considers single fuel with quadratic form and nonconvex form, and multifuels with the sum of several quadratic and nonconvex functions while a set of constraints taken into account are power loss, prohibited zone, ramp rate limit, spinning reserve, and all constraints in transmission power networks. The obtained results indicate the proposed improvements in terms of high optimal solution quality, stabilization of search ability, and fast convergence compared with FA. In addition, the comparisons with other methods also lead to a conclusion that the proposed method is a very promising optimization tool for systems with quadratic fuel cost function and with complicated constraints. (shrink)

This article provides a rationale for adopting the critical realism instead of pragmatism paradigm when researching skilled migrants' workplace integration in Australia. While the extant...

We consider structures of the form (Z;+,C), where C is an additive cyclic order on (Z;+). We show that such structures are dp-minimal and in this way produce a continuum-size family of dp-minimal expansions of (Z;+) such that no two members of the family define the same subsets of Z.

Journal of Mathematical Logic, Ahead of Print.

This paper investigates the task of reference resolution in the legal domain. This is a new interesting task in Legal Engineering research. The goal is to create a system which can automatically detect references and then extracts their referents. Previous work limits itself to detect and resolve references at the document targets. In this paper, we go a step further in trying to resolve references to sub-document targets. Referents extracted are the smallest fragments of texts in documents, rather than the (...) entire documents that contain the referenced texts. Based on analyzing the characteristics of reference phenomena in legal texts, we propose a four-step framework to deal with the task: mention detection, contextual information extraction, antecedent candidate extraction, and antecedent determination. We also show how machine learning methods can be exploited in each step. The final system achieves 80.06 % in the F1 score for detecting references, 85.61 % accuracy for resolving them, and 67.02 % in the F1 score for the end-to-end setting task on the Japanese National Pension Law corpus. (shrink)

How and why did comparative political economy lose sight of the sources of growing macroeconomic and political instability, a problem that encompassed a growing financial bubble and then a crash in the housing market, a period of sluggish growth that plausibly constitutes secular stagnation, and a crisis of political legitimacy manifesting itself in the rise of antisystem “populist” parties? A gradual shift in CPE’s research agenda from macroeconomic to microeconomic concerns, and from demand-side to supply-side explanations, diminished its ability to (...) analyze adequately the central economic and political problems of the past twenty years. This article traces CPE’s evolution through successive “supermodels” that constituted its core research foci. To understand the current crisis, CPE needs to revisit and update its original roots in Keynes, macroeconomics, and the demand side. This shift is already happening at the margins, as CPE scholars struggle to understand the current crisis. (shrink)

Cognitive theories of emotion propose that the interpretation of emotion-eliciting situations crucially shapes affective responses. Implicit or automatic biases in these interpretations may hinder emotion regulation and thereby increase risk for the onset and maintenance of psychological disorders. In this study, participants were randomly assigned to a positive or negative interpretation bias training using ambiguous social scenarios. After the completion of the training, a stress task was administered and changes in positive and negative affect and self-esteem were assessed. The results (...) demonstrate that the interpretation bias training was successful in that participants exhibited a tendency to interpret novel scenarios in accordance with their training condition. Importantly, the positive training condition also had a protective effect on self-esteem. Participants in this condition did not exhibit a decrease in self-esteem after the stress task, whereas participants in the negative condition did. These results demonstrate that implicit cognitive biases can be trained and that this training affects self-esteem. Implications of these findings for research on psychopathology and emotion regulation are discussed. (shrink)

In this essay I argue that Christian political participation as envisioned by those I term “Augustinian democrats”—a group of Protestant ethicists following a path cleared by Jeffrey Stout’s 2004 Democracy and Tradition—is founded upon an elegantly rendered political ontology, but leaves incomplete a description of the practical task and place of the church. My contention is that this incompletely developed practical task is not accidental to the manner in which these Augustinians complete the speculative, ontological task. The completion of the (...) speculative task combined with the incompletion of the practical task, I conclude, nevertheless results in a hybrid and especially interesting picture of personhood that points to an understanding of Protestantism as the attempt to recover human individuality within Christianity. (shrink)