With renewable energy being increasingly connected to power grids, pumped storage plants play a very important role in restraining the fluctuation of power grids. However, conventional control strategy could not adapt well to the different control tasks. This paper proposes an intelligent nonlinear model predictive control strategy, in which hydraulic-mechanical and electrical subsystems are combined in a synchronous control framework. A newly proposed online sequential extreme learning machine algorithm with forgetting factor is introduced to learn the dynamic behaviors of the (...) coupling system. Specifically, the initial learning parameters are optimized by prior-knowledge learning and a new self-adaptive adjustment strategy is also put forward. Subsequently, the stair-like control strategy and artificial sheep algorithm are used in rolling the optimization mechanism to replace the existing complex differential geometric solutions. Comparative experiments are carried out under different working conditions based on a PSP in China. The results show that the influence from coupling factors can be considerable and the proposed MPC strategy indicates superiority in voltage and load adjustment as well as the frequency oscillation suppression. (shrink)

Clarifying the causes of subway construction accidents has an important impact on reducing the probability of accidents and protecting workers’ lives and public property to a greater extent. A total of 138 investigation records of subway construction accidents from 2000 to 2020 were collected in this study. Based on a systemic analysis of 29 well-known accident causation models and the formative process of the subway construction accidents, we extracted the causative factors of subway construction accidents from the collected records. Furthermore, (...) a causation analysis index system of subway accidents was proposed based on fault tree analysis, where we considered subway construction accidents as the top event and the five dimensions, i.e., human, equipment, environment, management, and safety culture, as first-level intermediate events. Moreover, 17 causative factors were considered to be related to the severity of subway construction accidents. It is found that human factors are prone to be critical to high-risk accidents. Finally, a Bayesian network was formed to explore the causative factors of high-risk subway construction accidents. Based on the combined application of FTA and BN, this study discusses the complex influence factors and their action routes to unsafe accidents in subway construction sites, and makes efforts to correspond safety decision basis for the management of China subway construction. (shrink)

This paper is an attempt to advances research on walking, at a neighbourhood level of analysis for people with disabilities, by proposing a theoretical model that combines the knowledge of two disciplines: traffic planning and environmental psychology. The aim is to provide a guidance for a discussion and a planning of future interdisciplinary investigations, by proposing a model that accounts for the dynamic interaction between environmental characteristics, human processes, and walking experience among individuals with a disability. For this purpose, traffic (...) planners and environmental psychologists came together to discuss theories, concepts, and thematic of relevance in a series of focus group meetings. These meetings led to the selection of the Human Environment Interaction (HEI) model, originally developed from the field of environmental psychology, and operationalised to describe how walking experiences result from the interplay between individual abilities, emotional processes and physical and social characteristics of the environment (Küller, 1991). The proposed model aims to sustain interdisciplinary discussion and research planning around the topic of neighbourhood walking for people with disabilities. By operationalising each dimension in the model, a good fit between groups with disabilities and individual differences associated with walking experiences is assumed, which in turn will have the potential to provide a more conscious analysis of wellbeing-related outcomes such as, usability of the environment, frequency of mobility, and quality of life. However, to improve understanding of urban walking at a neighbourhood level for people with disabilities, empirical studies must be carried out to test the proposed model. (shrink)

At present, the feasibility of using self-purification mechanism to inhibit rumor spreading has been confirmed by studies from different perspectives. This paper improves the classical rumor spreading models with self-purification mechanism, analyzes the correlation between spreading threshold in the model and its self-purification level theoretically, and conducts numerical simulations to study the impact of the changes of model parameters on key indicators in the process of rumor spreading. The simulation results show that changes of model parameters, including self-purification level and (...) forgetting rate, exert significant influences on rumor spreading exactly. (shrink)

The paper extends previous accounts of informational privacy as a contextual notion. Where previous accounts have focused on interpretations of the privacy context itself as being contextual and open for negotiation and interpretation, this paper extends those analyses and shows that personal information itself is in fact best understood as contextual and situational—and as such open for interpretation. The paper reviews the notion of information as it has been applied in informational privacy and philosophy of information, and suggests that personal (...) information ought to be regarded as communicative acts. The paper suggests a reconceptualization of informational privacy from having its focus on controlling, limiting, and restricting access to material carriers of information to a focus on a regulation of the use, analysis, and interpretation of personal information. (shrink)

Bayesian non-parametric modeling has been developed and proven to be a powerful tool to analyze messy data with complex structures. Despite the increasing popularity of BNP modeling, it also faces challenges. One challenge is the estimation of the precision parameter in the Dirichlet process mixtures. In this study, we focus on a BNP growth curve model and investigate how non-informative prior, weakly informative prior, accurate informative prior, and inaccurate informative prior affect the model convergence, parameter estimation, and computation time. A (...) simulation study has been conducted. We conclude that the non-informative prior for the precision parameter is less preferred because it yields a much lower convergence rate, and growth curve parameter estimates are not sensitive to informative priors. (shrink)

In late March of 2020, a new hashtag, #FilmYourHospital, made its first appearance on social media. The hashtag encouraged people to visit local hospitals to take pictures and videos of empty hospitals to help “prove” that the COVID-19 pandemic is an elaborate hoax. Using techniques from Social Network Analysis, this case study examines how this conspiracy theory propagated on Twitter and whether the hashtag virality was aided by the use of automation or coordination among Twitter users. We found that while (...) much of the content came from users with limited reach, the oxygen that fueled this conspiracy in its early days came from a handful of prominent conservative politicians and far right political activists on Twitter. These power users used this hashtag to build awareness about the campaign and to encourage their followers to break quarantine and film what is happening at their local hospitals. After the initial boost by a few prominent accounts, the campaign was mostly sustained by pro-Trump accounts, followed by a secondary wave of propagation outside the U.S. The rise of the #FilmYourHospital conspiracy from a single tweet demonstrates the ongoing challenge of addressing false, viral information during the COVID-19 pandemic. While the spread of misinformation can be potentially mitigated by fact-checking and directing people to credible sources of information from public health agencies, false and misleading claims that are driven by politics and supported by strong convictions and not science are much harder to root out. (shrink)

Temporal epistemic logics are known, from results of Halpern and Vardi, to have a wide range of complexities of the satisfiability problem: from PSPACE, through non-elementary, to highly undecidable. These complexities depend on the choice of some key parameters specifying, inter alia, possible interactions between time and knowledge, such as synchrony and agents' abilities for learning and recall. In this work we develop practically implementable tableau-based decision procedures for deciding satisfiability in single-agent synchronous temporal-epistemic logics with interactions between time and (...) knowledge. We discuss some complications that occur, even in the single-agent case, when interactions between time and knowledge are assumed and show how the method of incremental tableaux can be adapted to work in EXPSPACE, respectively 2EXPTIME, for these logics, thereby also matching the upper bounds obtained for them by Halpern and Vardi. (shrink)

The paper considers the conjecture that forecasts from preferred economic models or theories d-separate forecasts from less preferred models or theories from the Actual realization of the variable for which a scientific explanation is sought. D-separation provides a succinct notion to represent forecast dominance of one set of forecasts over another; it provides, as well, a criterion for model preference as a fundamental device for progress in economic science. We demonstrate these ideas with examples from three areas of economic modeling.

In this paper we consider distributive modal logic, a setting in which we may add modalities, such as classical types of modalities as well as weak forms of negation, to the fragment of classical propositional logic given by conjunction, disjunction, true, and false. For these logics we define both algebraic semantics, in the form of distributive modal algebras, and relational semantics, in the form of ordered Kripke structures. The main contributions of this paper lie in extending the notion of Sahlqvist (...) axioms to our generalized setting and proving both a correspondence and a canonicity result for distributive modal logics axiomatized by Sahlqvist axioms. Our proof of the correspondence result relies on a reduction to the classical case, but our canonicity proof departs from the traditional style and uses the newly extended algebraic theory of canonical extensions. (shrink)

This paper argues that the principles of spiritual traditions provide normative ‘standards of goodness’ within which practitioners evaluate meaningful work. Our comparative study of practitioners in the Buddhist and Quaker traditions provide a fine-grained analysis to illuminate, that meaningfulness is deeply connected to particular tradition-specific philosophical and theological ideas. In the Buddhist tradition, meaningfulness is temporal and rooted in Buddhist principles of non-attachment, impermanence and depending-arising, whereas in the Quaker tradition, the Quaker testimonies and theological ideas frame meaningfulness as eternal. (...) Surprisingly, we find that when faced with unethical choices and clashes between organizational normativity and spiritual normativity, Buddhist practitioners acknowledge the temporal character of meaningfulness and compromise their moral values, whereas in contrast, Quaker practitioners morally disengage from meaningless work. Our study highlights how normative commitments in different spiritual traditions can influence different levels of adaptability in finding work meaningful and stresses the central importance of normative commitments in meaningful work. Our study concludes with practical implications and future pathways for inter-disciplinary research. (shrink)

As a transitional economy, Vietnam has undergone tremendous changes over recent decades within a ‘fusion’ context that blends both traditional and modern values from its complex history. However, few studies have explored how contemporary issues in the context of Vietnam have brought both obstacles and skillful initiatives to managerial approaches to doing business. We draw on the concepts of social trust and institutional theory to explore how informal institutions such as religious forces can contribute to the development of individual trust (...) and whether individuals are willing to extend trust beyond familial networks. We contribute to the notion of a moral conception of trust by exploring how Buddhism in particular has initiated distinctive managerial approaches in the context of Vietnam, in response to dilemmas of social trust. Our findings highlight that as an informal institution, engaged Buddhism yields significant impact on the formation of social trust. We carried out in-depth interviews in Vietnam with 33 organizational leaders who were Buddhist practitioners, using thematic analysis to elucidate our findings and arguments. The study reveals how the incorporation of Buddhist principles has fostered context-sensitive, non-extreme, and reflexive managerial approaches to enhance morality as a response to social trust issues. (shrink)

Big Data is a large-sized and complex dataset, which cannot be managed using traditional data processing tools. Mining process of big data is the ability to extract valuable information from these large datasets. Association rule mining is a type of data mining process, which is indented to determine interesting associations between items and to establish a set of association rules whose support is greater than a specific threshold. The classical association rules can only be extracted from binary data where an (...) item exists in a transaction, but it fails to deal effectively with quantitative attributes, through decreasing the quality of generated association rules due to sharp boundary problems. In order to overcome the drawbacks of classical association rule mining, we propose in this research a new neutrosophic association rule algorithm. The algorithm uses a new approach for generating association rules by dealing with membership, indeterminacy, and non-membership functions of items, conducting to an efficient decision-making system by considering all vague association rules. To prove the validity of the method, we compare the fuzzy mining and the neutrosophic mining. The results show that the proposed approach increases the number of generated association rules. (shrink)

This paper argues in favor of a hybrid conception of identity. A common conception of identity in datafied society is a split between a digital self and a real self, which has resulted in concepts such as the data double, algorithmic identity, and data shadows. These data-identity metaphors have played a significant role in the conception of informational privacy as control over information—the control of or restricted access to your digital identity. Through analyses of various data-identity metaphors as well as (...) philosophical accounts of identity, we argue in favor of a hybrid conception of identity that emphasizes the relations between the ‘real’ and the ‘digital’. A hybrid conception of identity—where the digital is an aspect on par with social relations, self-understanding, and values—ultimately calls for an understanding of privacy as the right to influence one’s own identity. (shrink)

Algebraic work [9] shows that the deep theory of possible world semantics is available in the more general setting of substructural logics, at least in an algebraic guise. The question is whether it is also available in a relational form.This article seeks to set the stage for answering this question. Guided by the algebraic theory, but purely relationally we introduce a new type of frames. These structures generalize Kripke structures but are two-sorted, containing both worlds and co-worlds. These latter points (...) may be viewed as modelling irreducible increases in information where worlds model irreducible decreases in information. Based on these structures, a purely model theoretic and uniform account of completeness for the implication-fusion fragment of various substructural logics is given. Completeness is obtained via a generalization of the standard canonical model construction in combination with correspondence results. (shrink)

This study explores the role of an informal institution—engaged Buddhism—in leadership responses to issues of bribery at the firm level in the context of Vietnam. In-depth interviews were carried out in Vietnam with 26 organizational leaders who were Buddhist practitioners. The leaders expressed a Buddhist-enacted utilitarian approach based on three context-associated mechanisms: karmic consequences, community and social well-being, and total detachment. These mechanisms manifest in leadership approaches based on the Middle Way, Skillful Means, and Emptiness. They are involved in forming (...) leaders’ perceptions about bribery issues and their enacting of contextual approaches to balance organizational means and ends in tackling ethical issues associated with bribery. The study also sheds light on moral struggles involved in the process of shaping and enacting a Buddhist-enacted utilitarian approach. (shrink)

The subject of the study is the consideration of modern trends in the study of fine art, in particular Russian portrait and narrative painting of the beginning of the XXI century. The object is scientific works related to various fields of the humanities, namely: art history, aesthetics, anthropology, sociology, philosophy, psychology, etc. Using their material, it is possible to show not only the difference in approaches to understanding the essence and role of the image of a modern person in the (...) art process, but also to demonstrate the specifics of the artistic interpretation of this figurative system in the context of art criticism, cultural and philosophical issues. Such a study allows us to systematize existing ideas about the peculiarities of the development of anthropological subjects in the mainstream of contemporary fine art in modern Russia, to identify the main directions. The main methodological basis of the study was a systematic approach that allowed us to consider contemporary Russian art as a single system. This helped to compare the approaches of modern researchers analyzing the place and role of the human image in it. Through the postmodern paradigm of perception and interpretation of anthropological topics, to identify the essential features of the ideas of Russian scientists. Methods of art historical analysis were also used. The starting point of the research is that at the moment in Russian science there is a body of art history and cultural studies devoted to the development of contemporary art in the country. However, there are no works summarizing the existing experience of scientists and defining the main directions of scientific thought. In light of this, the scientific novelty of the article lies in expanding the understanding of the methodological apparatus necessary for the analysis of the anthropological trend in the visual arts of our time, which is a promising path for future research in this area. The most demanded conceptual philosophical and historical-cultural foundations for the analysis and solution of practical problems in the field of contemporary art in relation to the representation of the human image are identified. Empirical research material has been collected and analyzed. (shrink)

Organizational leaders are eager to unlock the creative potential of followers. Yet, there is growing evidence that creativity can also have a dark side within organizations. Building on research linking creativity and unethical behavior, we develop the construct of creative unethicality—behavior that is both unethical and novel. We draw on social exchange theory to develop a model that identifies both why and when creative unethicality emerges within organizations. Specifically, we investigate the exchange dynamics through which creative support provided by empowering (...) leaders facilitates creative unethicality under conditions of high performance pressure. Across two multi-wave, multi-source field studies with employee-coworker and leader-subordinate dyads and an experimental study with a novel unethicality measure in a business simulation, we find convergent support for our theoretical model. These findings have important theoretical and practical implications for fostering creativity in organizations without simultaneously facilitating creative unethicality. (shrink)

A significant body of research has emerged in order to better understand unethical behavior at work and how gender plays a role in the process. In this study, we look to add to this literature by exploring how perpetrator gender influences reactions to distinct types of unethicality. Rather than viewing unethical behavior as a unitary construct, where all forms of lying, cheating, and stealing are the same, we integrate theories and concepts from the criminal justice and moral psychology literatures to (...) categorize certain unethical behaviors as either impulsive or premeditated. Given the agentic nature of premeditated unethical behavior, we draw from role congruity theory to predict that women will be punished more severely than men for their role incongruous actions. Impulsive unethical behavior, on the other hand, will be less likely to elicit perceptions of congruity or incongruity, leading to less of a gender effect. Results from three studies sampling both undergraduates and working adults in the United States, Singapore, and South Korea showed that participants were more likely to associate premeditated unethical behavior with a male perpetrator because it was seen as less feminine, and female perpetrators who engaged in premeditated unethical behavior received more severe punishment than male perpetrators due to the perceived role incongruity of their actions. Implications are discussed as well as possible limitations and directions for future research. (shrink)

Currently, although the implementation of corporate social responsibility (CSR) practices and its incorporation into business strategies is emphasised widely in developed countries as a key to sustainable growth and economic profitability, this term is still new to the Vietnamese market because of the low awareness of the importance of CSR practices, which leads to the failure of many firms. Since Vietnamese firms do not prioritise CSR implementation, Vietnam is experiencing an increasing shortage of skilled employees owing to a lack of (...) motivation. Therefore, this study examines the relationship between the corporate strategic objective (CSO), CSR practices and employee commitment, to provide recommendations to enhance motivation. This study used a quantitative approach and data from a questionnaire delivered to 869 enterprises in 2019 in Vietnam. Results suggest that the CSO had direct and indirect effects on employee commitment through the mediation of CSR practices. (shrink)

We investigated if emotion regulation can be improved through self-regulation training on non-emotional brain regions, as well as how to change the brain networks implicated in this process. During the training period, the participants were instructed to up-regulate their right dorsolateral prefrontal cortex activity according to real-time functional near-infrared spectroscopy neurofeedback signals, and there was no emotional element. The results showed that the training significantly increased emotion regulation, resting-state functional connectivity within the emotion regulation network and frontoparietal network, and rsFC (...) between the ERN and amygdala; however, training did not influence the rsFC between the FPN and the amygdala. However, self-regulation training on rDLPFC significantly improved emotion regulation and generally increased the rsFCs within the networks; the rsFC between the ERN and amygdala was also selectively increased. The present study also described a safe approach that may improve emotion regulation through self-regulation training on non-emotional brain regions. (shrink)

Emergency online education has been adopted worldwide due to coronavirus disease 2019 pandemic. Prior research regarding online learning predominantly focused on the perception of parents, teachers, and students in tertiary education, while younger children’s perspectives have rarely been examined. This study investigated how family, school, and individual factors would be associated with primary school students’ satisfaction, perceived effectiveness, and preference in online learning during COVID-19. A convenient sample of 781 Hong Kong students completed an anonymous online survey from June to (...) October 2020. Logistic regression was conducted for 13 potential factors. Results indicated that only 57% of students were satisfied with their schools’ online learning arrangement and 49.6% regarded the online learning as an effective learning mode. Only 12.8% of students preferred online learning, while 67.2% of students preferred in-person schooling. Multiple analyses suggested that teacher–student interaction during online classes was positively associated with students’ satisfaction, perceived effectiveness, and preferences in online learning. Compared to grades 1–2 students, grades 3–6 students perceived more effectiveness and would prefer online learning. Happier schools were more likely to deliver satisfying and effective online education. Students who reported less happiness at school would prefer online learning, and students who reported less happiness at home would be less satisfied with online learning and reflected lower effectiveness. Teachers are encouraged to deliver more meaningful interactions to students and offer extra support to younger children during online classes. Primary schools and parents are encouraged to create a healthy and pleasant learning environment for children. The government may consider building up happy schools in the long run. The study findings are instrumental for policymakers, institutions, educators, and researchers in designing online education mechanisms. (shrink)

We estimate that 208,000 deep brain stimulation (DBS) devices have been implanted to address neurological and neuropsychiatric disorders worldwide. DBS Think Tank presenters pooled data and determined that DBS expanded in its scope and has been applied to multiple brain disorders in an effort to modulate neural circuitry. The DBS Think Tank was founded in 2012 providing a space where clinicians, engineers, researchers from industry and academia discuss current and emerging DBS technologies and logistical and ethical issues facing the field. (...) The emphasis is on cutting edge research and collaboration aimed to advance the DBS field. The Eighth Annual DBS Think Tank was held virtually on September 1 and 2, 2020 (Zoom Video Communications) due to restrictions related to the COVID-19 pandemic. The meeting focused on advances in: (1) optogenetics as a tool for comprehending neurobiology of diseases and on optogenetically-inspired DBS, (2) cutting edge of emerging DBS technologies, (3) ethical issues affecting DBS research and access to care, (4) neuromodulatory approaches for depression, (5) advancing novel hardware, software and imaging methodologies, (6) use of neurophysiological signals in adaptive neurostimulation, and (7) use of more advanced technologies to improve DBS clinical outcomes. There were 178 attendees who participated in a DBS Think Tank survey, which revealed the expansion of DBS into several indications such as obesity, post-traumatic stress disorder, addiction and Alzheimer’s disease. This proceedings summarizes the advances discussed at the Eighth Annual DBS Think Tank. (shrink)

We introduce a new and general notion of canonical extension for algebras in the algebraic counterpart of any finitary and congruential logic . This definition is logic-based rather than purely order-theoretic and is in general different from the definition of canonical extensions for monotone poset expansions, but the two definitions agree whenever the algebras in are based on lattices. As a case study on logics purely based on implication, we prove that the varieties of Hilbert and Tarski algebras are canonical (...) in this new sense. (shrink)

In this paper, we introduce the integer programming in neutrosophic environment, by considering coffecients of problem as a triangulare neutrosophic numbers. The degrees of acceptance, indeterminacy and rejection of objectives are simultaneously considered. The Neutrosophic Integer Programming Problem (NIP) is transformed into a crisp programming model, using truth membership (T), indeterminacy membership (I), and falsity membership (F) functions as well as single valued triangular neutrosophic numbers. To measure the efficiency of the model, we solved several numerical examples.

Studying the psychology behind the purchase of eco-friendly products and second-hand items can offer valuable insights to promote sustainable consumer behavior. This paper examines factors influencing Italian consumers’ willingness to pay regarding bio-based clothing and second-hand items. Drawing from data collected from 402 Italian participants, we examine how motivations and socio-demographic factors are associated with willingness to pay in the context of sustainable fashion. Our findings reveal that motivations related to environmental concerns are positively associated with consumers’ willingness to pay (...) higher premiums for bio-based clothing. Higher income and education levels are also associated with the willingness to pay higher premiums. Meanwhile, motivation related to vintage appeal is associated with lower desired discounts for second-hand items, particularly among older consumers. Gender differences also influence discount preferences, with men seeking larger discounts on second-hand clothing compared to women. By providing insights into Italian consumers’ sustainable fashion choices, this study offers implications for businesses, policymakers, and researchers aiming to promote eco-conscious consumption and sustainability in the fashion industry. (shrink)

Following the eclectic itineraries of ‘Near East’ expert, R. M. Graves, this article tells a story of an ongoing Nakba (catastrophe) of small and large legal decisions. Without reducing the human catastrophe of the event of the Nakba (the 1948 Palestinian forced exodus), it engages with it as a legal event that crosses (in this story at least) from Cairo to Jerusalem, from the League of Nations’ era (1920–1946) to the United Nations’ era (1945–), from the governance of labour and (...) gender, to labour partition, and finally to the governance of municipalities through law and expertise. Graves’ relationship to both Cairo and Jerusalem was materialized through different forms of affective legal governance. Graves, who in his own dichotomous words was ‘neither a Zionist nor an anti-Semite’, managed Jerusalem across national lines in the wake of the UN Partition Plan (1947), and as the old empire was withdrawing right before Jerusalem itself became a site of the catastrophe—right before the Nakba. (shrink)