This study aims to investigate the effect of coronavirus disease 2019 on the Chinese public’s mental health during its early stage. We collected the data through an online questionnaire survey. Specifically, we adopted the impact of event scale-revised and state-trait anxiety inventory to assess symptomatic responses to exposure to traumatic life events and public anxiety, respectively, in the COVID-19 pandemic outbreak. Then, we evaluated the differences in the scores among various socio-demographic groups using Kruskal-Wakkis H tests and t-tests and analyzed (...) the IES-R, state anxiety score, and trait anxiety score using the Pearson correlation analysis. Finally, we conducted a path analysis to determine the mediating role of post-traumatic stress disorder symptoms in the relationship between TA and SA. The results show that the average of the SA and TA scores were 48.0 ± 10.4 and 38.0 ± 8.2, respectively; the respondents who suffered from mild, moderate, and severe psychological impacts because of the health crisis accounted for 21.9, 5.2, and 13.1%, respectively; farmers have the highest IES-R score than others; people with the highest income have the lowest SA level; a significant positive correlation existed between the IES-R and STAI scores; and TA produces both direct and indirect effects on SA. Overall, the general Chinese public exhibited much higher anxiety levels than normal in the early days of the pandemic outbreak. Accordingly, we strongly recommend psychological counseling and intervention support to mitigate the adverse psychological impacts of such an event. (shrink)

This study presents an evolutionary game to model interactions among stakeholders with potential conflicts, including the operational enterprise of incineration plant, the local government, and the residents nearby. System dynamics is used to simulate the change of strategic actions corresponding to the three players, in order to seek for the evolutionary stability strategies. A numerical case is proposed to demonstrate the game theory application, in which the impacts of governmental incentive and punishment on the player’s actions are investigated. The results (...) indicated that administrative penalty is effective not only in motivating the enterprises to upgrade treatment facilities for ensuring environmental quality but also in helping the local government and residents to approach dominant strategies. Policy implications are given based on the results to lay out a foundation for the alleviation of the conflicts. (shrink)

We study the mathematical properties of bilateral state-based modal logic (BSML), a modal logic employing state-based semantics (also known as team semantics), which has been used to account for free choice inferences and related linguistic phenomena. This logic extends classical modal logic with a nonemptiness atom which is true in a state if and only if the state is nonempty. We introduce two extensions of BSML and show that the extensions are expressively complete, and develop natural deduction axiomatizations for the (...) three logics. (shrink)

Research on knowledge hiding has largely focused on its antecedents while overlooking its consequences. Drawing on moral cleansing theory, we adopt a “perpetrator-centric view” and posit that employees who engage in playing dumb and evasive hiding–two specific knowledge hiding behaviors that involve deception–will subsequently perform more organizational citizenship behavior directed toward individuals (OCB-I) because they perceive a loss of moral credits following their moral transgression. Further, we propose that the indirect effects are contingent on perpetrators’ moral identity internalization. We tested (...) our hypotheses using a time-lagged research design with a sample of 362 respondents from a large pharmaceutical group company. Consistent with our hypotheses, we found that employees who engaged in playing dumb and evasive hiding subsequently exhibited more OCB-I as they perceived a loss of moral credits, whereas employees who engaged in rationalized hiding did not. In addition, the positive relationships between playing dumb and evasive hiding with perceived loss of moral credits were stronger when perpetrators had high moral identity internalization, as were the indirect effects of playing dumb and evasive hiding on OCB-I via perceived loss of moral credits. Our research contributes to the understanding of when and how engaging in knowledge hiding affects perpetrators and their compensatory behaviors toward coworkers. (shrink)

Implicational tonoid logics and their extensions with abstract Galois properties have been introduced by Yang and Dunn. They introduced matrix semantics for the implicational tonoid logics but did not do for the extensions. Here we provide such semantics for implicational partial gaggle logics as one sort of such extensions. To this end, first we discuss implicational partial gaggle logics in Hilbert-style. We next introduce one kind of matrix semantics based on Lindenbaum– Tarski matrices for the logics and show that (...) those logics are complete with respect to the matrix semantics. Finally, we further introduce a slightly different kind of matrix semantics based on reduced models for the logics and show that those logics are complete with respect to this matrix semantics. (shrink)

This paper addresses the alleged tension between the kind of strong apophaticism endorsed by Maimonides and his view of worshiping God. After considering some extant resolutions to this problem, I offer a proposal that utilizes the role of silence and imitative activity in Maimonides. While this solution may not have been one that Maimonides would have offered, I argue that Maimonides had conceptual resources for offering a promising solution within his theological framework.

Virtue, as a tendency toward goodness, has an interrelated structure made up of a stable disposition of intentions and emotions on the one hand and the ability to make rational analysis and obtain moral knowledge on the other. All these elements of knowing, feeling, and willing in the structure of virtue cannot be fully understood merely from a psychological perspective. Emotion, will, and rationality in virtue always have certain moral content. Virtue, as a structure with good disposition, constitutes a moral (...) agent and consequently an intrinsic foundation for moral practice. Of course, virtue is not a priori. On the contrary, its development is closely associated with an individual’s social and historical background. Because of virtue, an agent goes beyond the rational compulsion and intended efforts into a realm of nature. (shrink)

教育部人文社会科学重点研究基地中山大学马克思主义哲学与中国现代化研究所基金资助。.

教育部人文社会科学重点研究基地中山大学马克思主义哲学与中国现代化研究所基金资助。.

An involutive micanorm-based logic with a weak form of associativity is introduced and its finite standard completeness is addressed. More precisely, we first introduce the logic WAuIBUL as a [0, u]-continuous wau-uninorm analogue of the involutive logic IBUL. We next discuss its algebraic semantics. We then introduce involutive wau-uninorms as involutive uninorms with weak u-associativity in place of associativity and deal with related properties. We last provide finite strong standard completeness for WAuIBUL using a construction of Yang-style. -/- 약한 (...) 형식의 결합 원리를 만족하는 누승적인 미카놈에 기반한 논리 체계를 소개하고 그 체계의 유한 표준 완전성을 다룬다. 보다 구체적으로 논리 체계 WAuIBUL을 누승적 유니놈 논리 IUML의 [0, u]-연속인 wau-유니놈 일반화로 먼저 소개한다. 그리고 이 체계의 대수적 완전성을 다룬다. 다음으로 결합 원리 대신에 약한 u-결합 원리를 만족하는 누승적 유니놈으로 누승적 wau-유니놈을 소개하고 그 성질을 다룬다. 마지막으로 유한 집합 위에서 WAuIBUL의 표준 완전성을 보인다. (shrink)

This paper applies Bo Mou’s Constructive-Engagement Strategy of Comparative Philosophy (CESCP) to explore philosophical practice as a novel paradigm that applies philosophy to everyday life. The study advocates for a transformative methodology that seeks truth through critical engagement, joint contributions, and diverse methodological tools, advancing the discipline towards a comprehensive world philosophy. Philosophical practice, characterized by its engagement with human experience and existential inquiries, integrates Eastern and Western philosophies to guide individuals in the art of living. It offers a philosophical (...) alternative to psychological counseling, focusing on reasoning to address life’s challenges and ethical dilemmas. The paper examines the integration of Chinese philosophy, particularly Confucianism, into philosophical practice, highlighting its relevance for contemporary counseling. It discusses Confucianism’s impact on philosophical practice, advances in self-cultivation and gong-fu theory, and the holistic Confucian view of body-mind integration, contrasting it with some Western approaches. We conclude that the practical dimensions of Confucianism oppose Western theoretical philosophy but align with Western philosophical practice. By employing CESCP, this research enriches philosophical practice, integrating diverse philosophies while respecting each tradition’s context. The approach combines Eastern relational perspectives with Western analytical depth, enhancing philosophical counseling and contributing to a global philosophical dialogue. This fusion of horizons aims to foster cross-cultural understanding and develop universally relevant wisdom. (shrink)

Professor Chen Ning Yang, an eminent contemporary physicist, was Professor at the Institute for Advanced Study, Princeton, New Jersey, from 1955 to 1966, and Albert Einstein Professor of Physics at the State University of New York at Stony Brook until his retirement in 1999. He has been Distinguished Professor-at-Large at the Chinese University of Hong Kong since 1986 and Professor at Tsinghua University, Beijing, since 1998. Since receiving his PhD from the University of Chicago in 1948, Prof Yang (...) has made great impacts in both abstract theory and phenomenological analysis in modern physics. In 1983, he published "Selected Papers (1945-1980), With Commentary". It has been considered by Freeman Dyson as one of his favorite books. The present book is a sequel to that earlier volume. It is a collection of his personally selected papers (1971-2012) supplemented by his insightful commentaries. Its contents reflect Professor Yang's changing interests after he reached age sixty. It also includes commentaries written by him in 2011 when he is 89 years old. The papers and commentaries in this unique collection comprise a remarkable personal and professional chronicle, shedding light on both the intellectual development of a great physicist and on the nature of scientific inquiry. (shrink)

Blockchain technology applied to cryptocurrencies is the dominant factor in maintaining the security of cryptocurrencies. This article reviews the technological implementation of cryptocurrency and the security and stability of cryptocurrency and analyzes the security support from blockchain technology and its platforms based on empirical case studies. Our results show that the security support from blockchain technology platforms is significantly insufficient and immature. In addition, we further Zyskind and Nathan and Choi and find that the top ten platforms play critical roles (...) in security support and have significant advantages in terms of funds, duration, and human resources. Moreover, these platforms provide computational resources and benefits to the consensus algorithm selection for blockchain practitioners. Second, encryption ensures the security of cryptocurrencies. On the one hand, the digital signatures identify the identity of the signatory and the transaction. However, the principle of the hash algorithm confirms ownership. Meanwhile, SHA256 is infeasible to compute in the reverse direction and is difficult to attack. Furthermore, the records in the blockchain can be queried by every participant, making the system information transparent and open reliable. Third, compared to the study of Fu and Fang 2016, we find that the blockchain structure is composed of security components and basic components of six layers that are independent and cannot be extended completely and have a certain coupling among them. Fourth, the underlying ledger structures of Bitcoin and DAG are highly correlated to their security. Specifically, we follow Sompolinsky et al. and detect that the structure of SPECTRE ensures network security and robustness from its block production, conflict resolution, and generated trusted transaction sets. Meanwhile, the voting algorithm of SPECTRE makes resolving conflicting transactions by calculating votes and ensuring the transaction information that is virtually unable to be tampered with possible. In particular, the security calculation power of SPECTRE can reach 51% and resist “double-spend attacks” and “censorship attacks” effectively. In addition, the RDL framework of SPECTRE achieves security confirmation of transferring funds. Moreover, PHANTOM identifies evil blocks by employing block connectivity analysis and ensures its security. Eventually, we also expand the studies of and compare the basic characteristics of the protocols of Bitcoin, SPECTRE, and PHANTOM and find that protocols play imperative roles throughout the implementation process of cryptocurrency. In addition, the underlying ledger structure and consensus mechanism make up a blockchain while the confirmation time, throughput limit, and ordering are prerequisites for smart contracts. (shrink)

The concept of digital twinning has become a hot topic in the manufacturing industry in recent years. The emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of the intelligent manufacturing industry. The job shop scheduling problem has been an important research field in the discrete manufacturing industry. Digital twin technology is adopted to solve the problem of job shop scheduling, which provides (...) the possibility for the intelligent development of workshops. Based on digital twin technology and combined with the actual problem of production line scheduling, we propose a new intelligent scheduling platform to solve the shop scheduling problems above. Meanwhile, based on the prediction and diagnosis of multisource dynamic interference in the workshop production process by big data analysis technology, the corresponding interference strategy is formulated in advance by the scheduling cloud platform. The model simulation experiment of intelligent dispatching cloud platform was carried out, and some enterprises in intelligent manufacturing workshop were taken as examples to verify the superiority of the dispatching cloud platform. Finally, we look forward to the future research direction of intelligent manufacturing based on digital twin technology. (shrink)

The initial online publication contained a typesetting mistake in the author information. The original article has been corrected.

In this paper, we track the motion of multiple targets in sports videos by a machine learning algorithm and study its tracking technique in depth. In terms of moving target detection, the traditional detection algorithms are analysed theoretically as well as implemented algorithmically, based on which a fusion algorithm of four interframe difference method and background averaging method is proposed for the shortcomings of interframe difference method and background difference method. The fusion algorithm uses the learning rate to update the (...) background in real time and combines morphological processing to correct the foreground, which can effectively cope with the slow change of the background. According to the requirements of real time, accuracy, and occupying less video memory space in intelligent video surveillance systems, this paper improves the streamlined version of the algorithm. The experimental results show that the improved multitarget tracking algorithm effectively improves the Kalman filter-based algorithm to meet the real-time and accuracy requirements in intelligent video surveillance scenarios. (shrink)

This study examined the effect of emotional context on the semantic memory of subsequent emotional words during discourse comprehension in two eye-tracking experiments. Four-sentence discourses were used as experimental materials. The first three sentences established an emotional or neutral context, while the fourth contained an emotional target word consistent with the preceding emotional context's valence. The discourses were presented twice using the text change paradigm, where the target words were replaced with strongly - or weakly-related words during the second presentation. (...) Thus, four conditions were included in the present study: Emotional-strongly-related, Emotional-weakly-related, Neutral-strongly-related and Neutral-weakly-related. In Experiment 1, negative contexts and negative target words were used, whereas in Experiment 2, positive contexts and positive target words were used. The results revealed a semantic relatedness effect, whereby the strongly-related words have lower change detection accuracy, longer reading times and more fixations in both Experiments 1 and 2. Furthermore, across both experiments, the magnitude of the semantic relatedness effect was greater in the emotionally congruent contexts than in the neutral contexts. These results suggest that emotional context could increase efforts to change the discrimination of subsequent words and demonstrate an important role of emotional context on semantic memory during discourse processing. (shrink)

In economic researches, much effort was devoted to the problem of how to increase the economics of countries. However, the development of a country may fluctuate a lot due to international and domestic problems. Thus, we should also evaluate the robustness of countries against unexpected economic recessions. In this paper, we use perturbation to quantify the robustness of countries using two renowned algorithms: method of reflections and fitness-complexity method. The robustness characterizes the stability of countries’ competitiveness against economic recessions. The (...) experiments in the international trade networks show that FCM could characterize the robustness better than MR. High fitness countries of FCM have strong robustness against economic crises, which enlarges the application fields of FCM. Additionally, we simulate the trade conflict between USA and China. The simulation results show that China suffers much in the trade conflict, while USA loses very little and has strong robustness in this conflict. (shrink)

This paper uses panel OLS, IV, and system GMM methods to empirically study the effects of manufacturing and producer service corporate co-agglomeration on green economy efficiency in China. Chinese panel data from 2000 to 2019 are collected to assess the GEE and co-agglomeration degrees. The regression results show that there is an “inverted U-shaped” relationship between co-agglomeration and GEE. However, regional heterogeneity is found in the effects of corporate co-agglomeration on GEE. The mediating analysis indicates that corporate co-agglomeration could increase (...) GEE through business entrepreneurship and innovation entrepreneurship. Variables such as transportation infrastructure, human capital, foreign direct investment, and environmental regulations are also found to have an elevating effect on GEE, whereas local fiscal expenditure on environmental protection has little effect. The findings in this paper indicate that entrepreneurship plays an important role in the process of co-agglomeration impacting GEE which differs in different regions and thus provide references for corporate and regional sustainable development. (shrink)

This paper investigates a composite learning prescribed performance control scheme for uncertain strict-feedback system. Firstly, a prescribed performance boundary condition is developed for the tracking error, and the original system is transformed into an equivalent one by using a transformation function. In order to ensure that the tracking error satisfies the PPB, a sufficient condition is given. Then, a control scheme of PPC combined with neural network and backstepping technique is proposed. However, the unknown functions cannot be guaranteed to estimate (...) accurately by this method. To solve this problem, predictive errors are defined by applying online recorded date and instantaneous date. Furthermore, novel composite learning laws are proposed to update NN weights based on a partial persistent excitation condition. Subsequently, the stability of the closed-loop system is guaranteed and all signals are kept bounded by using composite learning PPC method. Finally, simulation results verify the effectiveness of the proposed methods. (shrink)

Although sustainable development is increasingly prioritised, many entrepreneurs remain skeptical about the appropriateness of sustainable practices for small and medium enterprises (SMEs), questioning the value of adopting green initiatives. Grounded in the resource-based view, this study investigates the mediating role of sustainable development practices in linking entrepreneurial and international orientations and business performance in SMEs. Data were gathered from 105 SME owners and senior managers across multiple sectors using the drop-off and pick-up method and analysed using partial least squares (PLS) (...) path modelling. The findings reveal that sustainable practices play a critical mediating role in enhancing business performance. Specifically, entrepreneurial orientation positively influences business performance indirectly through engagement in sustainable development practices, while international orientation does not produce a similar effect. This highlights the importance of aligning entrepreneurial traits, such as innovation, proactiveness, and risk-taking, with sustainability-oriented strategies. Additionally, the model’s predictive capability was assessed, and the study provides both theoretical insights into the mediating mechanisms of sustainability and practical recommendations for SMEs aiming to adopt sustainable business practices. (shrink)

Based on the conservation of resource theory, this manuscript explores the impact mechanism of the challenge and hindrance stressors on innovation performance, introduces emotional atmosphere as a mediation variable, and on this basis, it examines the moderating role of organizational climate on emotional atmosphere and innovation performance. A two-wave survey of 263 subordinates and 29 supervisors who come from multisource field offered support for our model. Results showed that challenge stressors have a positive effect on innovation performance, positive emotional atmosphere (...) mediates the relationship between challenge stressors and innovation performance; hindrance stressors have a negative effect on innovation performance, and negative emotional atmosphere mediates the relationship between hindrance stressors and innovation performance. Organizational climate strengthens the positive relationship between positive emotional atmosphere and innovation performance and weakens the negative relationship between negative emotional atmosphere and innovation performance. This study enriches the existing literature by identifying the impact of stressors on employee innovation performance and has certain practical significance for optimizing the management of enterprises and improving employee innovation performance. (shrink)

Activating relevant responses is a key function of automatic processes in De Neys's model; however, what determines the order or magnitude of such activation is ambiguous. Focusing on recently developed sequential sampling models of choice, we argue that proactive control shapes response generation but does not cleanly fit into De Neys's automatic-deliberative distinction, highlighting the need for further model development.