Chinese culture is a lively and active organism. If we are to get to the real image of Chinese culture, we should take as a starting point the first passage of the Chung-yung [Doctrine of the Mean], which expounds its basic principles: "That which Heaven has decreed is called Nature, to follow that Nature is called tao [way] and to cultivate the tao is called instruction." This passage uses three phrases and one breath; these three phrases have a unified nature (...) which cannot be separated and which constitute one long sentence. Because of this, the words as a whole lead people to think of a richly vital and great tree which has the will of Heaven as its roots, human nature as its shoots, the tao as its trunk, and cultural instruction as its branches, leaves, and blossoms. As for the fruit, in terms of the individual, it is the achievement of a completely beautiful character, and in terms of the masses of the people, it is the ordering of the country and the pacification of the realm, the progression from the era of peace under the ancient kings to the age of the Grand Unity [ta-t'ung]. (shrink)

Business Ethics, the Environment &Responsibility, EarlyView.

Business Ethics, the Environment &Responsibility, Volume 33, Issue 3, Page 287-307, July 2024.

本书内容包括:传统价值观的整体透视、简论传统文化中各学派的价值理论、儒家价值理想及其现代意义论析、道家风骨和生命哲学的现代诠释等。.

Monoidal t-norm based logic $\mathbf {MTL}$ is the weakest t-norm based residuated fuzzy logic, which is a $[0,1]$ -valued propositional logical system having a t-norm and its residuum as truth function for conjunction and implication. Monadic fuzzy predicate logic $\mathbf {mMTL\forall }$ that consists of the formulas with unary predicates and just one object variable, is the monadic fragment of fuzzy predicate logic $\mathbf {MTL\forall }$, which is indeed the predicate version of monoidal t-norm based logic $\mathbf {MTL}$. The main (...) aim of this paper is to give an algebraic proof of the completeness theorem for monadic fuzzy predicate logic $\mathbf {mMTL\forall }$ and some of its axiomatic extensions. Firstly, we survey the axiomatic system of monadic algebras for t-norm based residuated fuzzy logic and amend some of them, thus showing that the relationships for these monadic algebras completely inherit those for corresponding algebras. Subsequently, using the equivalence between monadic fuzzy predicate logic $\mathbf {mMTL\forall }$ and S5-like fuzzy modal logic $\mathbf {S5(MTL)}$, we prove that the variety of monadic MTL-algebras is actually the equivalent algebraic semantics of the logic $\mathbf {mMTL\forall }$, giving an algebraic proof of the completeness theorem for this logic via functional monadic MTL-algebras. Finally, we further obtain the completeness theorem of some axiomatic extensions for the logic $\mathbf {mMTL\forall }$, and thus give a major application, namely, proving the strong completeness theorem for monadic fuzzy predicate logic based on involutive monoidal t-norm logic $\mathbf {mIMTL\forall }$ via functional representation of finitely subdirectly irreducible monadic IMTL-algebras. (shrink)

This study, which is based on survey data provided by 445 employees of a Chinese enterprise, examines the impact of authentic leadership on the proactive behavior of subordinates, in particular the mediating effect of subordinate psychological capital and the moderating effect of the compassion at work. The results of our structural equation model reveal that: (1) There is a significant positive correlation between authentic leadership and the proactive behavior of subordinates; (2) Psychological capital plays a full mediating role between authentic (...) leadership and subordinate proactive behavior; (3) Compassion at work has a moderating effect on the positive relationship between authentic leadership and subordinate psychological capital and proactive behavior. (shrink)

We examine the effect of the cross-border merger and acquisition (M&A) activities of Chinese firms on their corporate social responsibility (CSR) performance. We find that Chinese acquirers significantly increase CSR performance and CSR spending following cross-border M&As. The legal origins and social norms of host countries are found to positively affect the acquirers’ CSR performance and CSR spending in the post-M&A period. The results are consistent with Chinese acquirers signaling their commitment toward CSR through cross-border M&As to respond to diverse (...) stakeholder demands and strengthen corporate reputation. We also provide evidence that Chinese firms’ knowledge acquisition through cross-border M&As boosts green innovation. In addition, we show that the financial performance of Chinese acquirers does not suffer in the long term, indicating that strategic CSR investments can be integrated with other corporate investment activities. Our study demonstrates how cross-border M&As affect stakeholder value beyond value for shareholders. (shrink)

Information-sharing behavior is affected by identity recognition perception. The current study aims to delve into the impact of familiarity and anonymity on information-sharing behavior, and the mediating role of intrinsic motivations on WeChat Moments. We hypothesized a mediator role of intrinsic motivations in the relationship between an individual’s perceptions and information sharing. Based on the self-determination theory, a model was created and tested using a sample of 531 frequent users. In this study, these users were asked to use WeChat Moments, (...) the most popular mobile private social networking site in China. The results demonstrate the significance of familiarity and identifiability in an interpersonal relationship, when using social networking sites. Moreover, the influence of perceived anonymity on information-sharing behavior, which is entirely mediated by intrinsic motivation has been validated from an empirical perspective. Our findings extend previous studies by showing the totally mediated effect of perceived anonymity on information-sharing behavior on WeChat Moments and the influential mechanism of intrinsic motivation. The results will inform researchers about the importance of incorporating the interpersonal structural features and intrinsic motivation of social networking sites into future studies on online information-sharing behavior. Important ways to promote attention and share information involve building a familiar relationship with communities and equipping oneself with off-line relations. Final indications for future developments are provided, with a special emphasis on the development of these findings in various social networking sites contexts. (shrink)

This paper presents a bioinspired lower extremity exoskeleton robot. The proposed exoskeleton robot can be adjusted in structure to meet the wearer’s height of 150–185 cm and has a good gait stability. In the gait control part, a method of identifying different locomotion modes is proposed; five common locomotion modes are considered in this paper, including sitting down, standing up, level-ground walking, ascending stairs, and descending stairs. The identification is depended on angle information of the hip, knee, and ankle joints. (...) A deep locomotion mode identification model based on long-short term memory architecture is proposed in this paper for exploiting the angle data. We conducted two experiments to verify the effectiveness of the proposed method. Experimental results show that the DLMIM is capable of learning inherent characteristics of joint angles and achieves more accurate identification than the other models. The last experiment demonstrates that the DLMIM can recognize transitions between different locomotion modes in time and the real-time performance varies with each individual. (shrink)

This paper endeavors to appraise scholarly works from the 1940s to the contemporary era, examining the scientific quest to transpose human cognition and consciousness into a digital surrogate, while contemplating the potential ramifications should humanity attain such an abstract level of intellect. The discourse commences with an explication of theories concerning consciousness, progressing to the Turing Test apparatus, and intersecting with Damasio’s research on the human cerebrum, particularly in relation to consciousness, thereby establishing congruence between the Turing Test and Damasio’s (...) notions of consciousness. Subsequently, the narrative traverses the evolutionary chronology of transmuting human cognition into machine sapience, and delves into the fervent endeavors to metamorphose human minds into synthetic counterparts. Additionally, theoretical perspectives from the domains of philosophy, psychology, and neuroscience provide insight into the constraints intrinsic to AI implementations, contentious hypotheses, the perils concealed within artificial networks, and the ethical considerations necessitated by AI frameworks. Furthermore, contemplation of prospective repercussions facilitates the refinement of strategic approaches to safeguard our future Augmented Age Realities within AI, circumventing the prospect of inhabiting an intimidating technopolis where a mere 30% monopolize the intellect and ingenuity of the remaining 70% of human minds. (shrink)

Safeguarding GenAI models against threats and aligning them with security requirements is imperative yet challenging. This chapter provides an overview of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like finance, healthcare, and content creation. The narrative then shifts to exploring mitigation strategies and innovative security paradigms. Differential privacy, blockchain-based provenance, quantum-resistant algorithms, (...) and human-guided reinforcement learning are analyzed as potential techniques to harden generative models. Broader ethical concerns surrounding transparency, accountability, deepfakes, and model interpretability are also addressed. The chapter aims to establish a conceptual foundation encompassing both the technical and ethical dimensions of security for generative AI. It highlights open challenges and lays the groundwork for developing robust, trustworthy, and human-centric solutions. The multifaceted perspective spanning vulnerabilities, implications, and solutions is intended to further discourse on securing society’s growing reliance on generative models. Frontier model security is discussed using Anthropic proposed approach. (shrink)

Transcranial Photobiomodulation has demonstrated its ability to alter electrophysiological activity in the human brain. However, it is unclear how tPBM modulates brain electroencephalogram networks and is related to human cognition. In this study, we recorded 64-channel EEG from 44 healthy humans before, during, and after 8-min, right-forehead, 1,064-nm tPBM or sham stimulation with an irradiance of 257 mW/cm2. In data processing, a novel methodology by combining group singular value decomposition with the exact low-resolution brain electromagnetic tomography was implemented and performed (...) on the 64-channel noise-free EEG time series. The gSVD+eLORETA algorithm produced 11 gSVD-derived principal components projected in the 2D sensor and 3D source domain/space. These 11 PCs took more than 70% weight of the entire EEG signals and were justified as 11 EEG brain networks. Finally, baseline-normalized power changes of each EEG brain network in each EEG frequency band were quantified during the first 4-min, second 4-min, and post tPBM/sham periods, followed by comparisons of frequency-specific power changes between tPBM and sham conditions. Our results showed that tPBM-induced increases in alpha powers occurred at default mode network, executive control network, frontal parietal network and lateral visual network. Moreover, the ability to decompose EEG signals into individual, independent brain networks facilitated to better visualize significant decreases in gamma power by tPBM. Many similarities were found between the cortical locations of SVD-revealed EEG networks and fMRI-identified resting-state networks. This consistency may shed light on mechanistic associations between tPBM-modulated brain networks and improved cognition outcomes. (shrink)

This book transforms phenomenology, music, technology, and the cultural arts from within. Gathering contributions by performing artists, media technology designers, nomadic composers, and distinguished musicological scholars, it explores a rich array of concepts such as embodiment, art and technology, mindfulness meditation, time and space in music, self and emptiness, as well as cultural heritage preservation. It does so via close studies on music phenomenology theory, works involving experimental music and technology, and related cultural and historical issues. This book will be (...) of considerable interest to readers from the fields of sound studies, science and technology studies, phenomenology, cultural studies, media studies, and sound art theory. This book is equally relevant and insightful for musicians, composers, media artists, sound artists, technology designers, and curators and arts administrators from the performing and visual arts. (shrink)

The de‐repression of transposable elements (TEs) in mammalian genomes is thought to contribute to genome instability, inflammation, and ageing, yet is viewed as a cell‐autonomous event. In contrast to mammalian cells, prokaryotes constantly exchange genetic material through TEs, crossing both cell and species barriers, contributing to rapid microbial evolution and diversity in complex communities such as the mammalian gut. Here, it is proposed that TEs released from prokaryotes in the microbiome or from pathogenic infections regularly cross the kingdom barrier to (...) the somatic cells of their eukaryotic hosts. It is proposed this horizontal transfer of TEs from microbe to host is a stochastic, ongoing catalyst of genome destabilization, resulting in structural and epigenetic variations, and activation of well‐evolved host defense mechanisms contributing to inflammation, senescence, and biological ageing. It is proposed that innate immunity pathways defend against the horizontal acquisition of microbial TEs, and that activation of this pathway during horizontal transposon transfer promotes chronic inflammation during ageing. Finally, it is suggested that horizontal acquisition of prokaryotic TEs into mammalian genomes has been masked and subsequently under‐reported due to flaws in current sequencing pipelines, and new strategies to uncover these events are proposed. (shrink)

This paper examines the impact of China’s new environmental protection law on green innovation. Using a large sample of Chinese prefecture-level cities for the 2010–2016 period and the difference-in-differences methodology, we provide strong evidence that the new environmental protection law promotes green innovation. This finding is robust to a battery of sensitivity tests. The micromechanism analysis shows that the new environmental protection law can promote green innovation by imposing stricter financial constraints on enterprises in high-pollution industries and increasing their incentives (...) for green innovation to meet green credit requirements. Further, we find that the impact of the new environmental protection law on green innovation is more prominent in prefecture-level cities with a lower level of banking competition and for prefecture-level cities with stronger intellectual property protection. Overall, these findings suggest that the new environmental protection law has played an important role in promoting green innovation in China. To improve the effect of the new environmental protection law on green innovation, the government can consider lowering banking competition and strengthening intellectual property protection. (shrink)

We propose a signaling pathway in which cell‐extracellular matrix (ECM) adhesion components PINCH‐1 and kindlin‐2 sense mechanical signals from ECM and link them to proline biosynthesis, a vital metabolic pathway for macromolecule synthesis, redox balance, and ECM remodeling. ECM stiffening promotes PINCH‐1 expression via integrin signaling, which suppresses dynamin‐related protein 1 (DRP1) expression and mitochondrial fission, resulting in increased kindlin‐2 translocation into mitochondria and interaction with Δ1‐pyrroline‐5‐carboxylate (P5C) reductase 1 (PYCR1). Kindlin‐2 interaction with PYCR1 protects the latter from proteolytic degradation, (...) leading to elevated PYCR1 level. Additionally, PINCH‐1 promotes P5C synthase (P5CS) expression and P5C synthesis, which, together with increased PYCR1 level, support augmented proline biosynthesis. This signaling pathway is frequently activated in fibrosis and cancer, resulting in increased proline biosynthesis and excessive collagen matrix production, which in turn further promotes ECM stiffening. Targeting this signaling pathway, therefore, may provide an effective strategy for alleviating fibrosis and cancer progression. (shrink)

Given the severity of today’s environmental issues, companies are increasingly making green concepts a key component of their operational strategies. As an essential complement to corporate environmental strategy, employees’ green behavior has received attention from all sectors of society. Based on resource conservation theory, this study explores the formation mechanism of employees’ green behaviors in enterprises starting from two green management tools: green human resource management practices and green transformational leadership. Through two-stage questionnaire research, 296 sample data points were obtained, (...) and the research hypotheses were tested by using linear regression analysis. The results showed that green HRM practices in enterprises enhance employees’ green mindfulness and thus stimulate their green behaviors and that green transformational leadership and green self-efficacy play a positive moderating role in the above relationship. These results support the applicability of resource conservation theory in green management and suggest that green HRM practices and green transformational leadership can be used together in the process of green management. (shrink)

This study is intended to create an innovative contextual English learning environment making use of the widely used communication software, LINE ChatBot, based on the Artificial Intelligence Markup Language, in order to improve speaking and listening ability among learners. A total of 73 students were invited to participate in learning activities involving a 4-week English conversation exercise including both speaking and listening. Additionally, in order to explore the influence of competition on language acquisition, we added competition characteristics to the learning (...) activities in the experimental group to enhance learning motivation and learning outcomes. The results showed that with the help of the LINE ChatBot contextual learning environment, the performance of both groups of students was slightly enhanced, but no significant differences were found. Meanwhile, extrinsic motivation in both the experimental and control group was improved if they spoke anonymously. That is, the contextual learning environment based on the LINE ChatBot significantly improved the learners’ English speaking and listening ability. In addition, the results showed that the addition of a competition element effectively enhanced the learners’ intrinsic motivation to learn English on the LINE ChatBot. (shrink)

Empirical research has shown that maladaptive perfectionism may lead to lower life satisfaction. However, the relationship between maladaptive perfectionism and life satisfaction among medical students and the mechanism underlying this relationship still need to be further explored. The present study used a large sample of undergraduate medical students to examine the associations between maladaptive perfectionism and life satisfaction and to explore the mechanism underlying the associations. Specifically, the present study tried to probe the mediating role of academic burnout and the (...) moderating role of self-esteem in the relationship between maladaptive perfectionism and life satisfaction in medical students. We invited 1628 undergraduate medical students from two medical universities in Northeastern China to participate in the survey. Among the students recruited, 1377 medical students completed questionnaires including the Frost Multidimensional Perfectionism Scale maladaptive perfectionism subscales, the Chinese College Student Academic Burnout Inventory, the Satisfaction With Life Scale, the Rosenberg Self-Esteem Scale and demographic information. Results show that maladaptive perfectionism was significantly negatively related to life satisfaction among medical students and academic burnout played a significant mediating role in this relationship. Moderated mediation analyses reveal that the mediating effect of maladaptive perfectionism on life satisfaction via academic burnout was moderated by self-esteem. Maladaptive perfectionism exerted a stronger effect on life satisfaction via the mediating role of academic burnout for medical students with high self-esteem [β = −0.026, SE = 0.009, 95%CI = ] than for medical students with low self-esteem [β = −0.019, SE = 0.009, 95%CI = ]. Medical institutions can implement effective interventions to decrease medical students’ maladaptive perfectionism levels and academic burnout levels, and increase their self-esteem levels in order to enhance their life satisfaction. (shrink)

This article puts forward a novel class of Bézier smooth semi-supervised support vector machines(BS4VMs) for classification. As is well known, semi-supervised support vector machine is introduced for dealing with quantities of unlabeled data in the real world. Labeled data is utilized to train the algorithm and then adapting it to classify the unlabeled data. However, the objective semi-supervised function is not differentiable globally. It is required to endure heavy burden in solving two quadratic programming problems with inversion matrix operation. To (...) solve this problem, the interpolation Bézier functions for replacing the non-smooth term have been investigated. Firstly, the development of the novel BS4VMs classifier is introduced. Then, the non-linear model and convergence analysis are presented. To show how the BS4VMs can be practically implemented, experiments on synthetic and real data sets are offered. The theoretical analysis and experiments comparisons clearly illustrate the BS4VMs are superior to the proposed methods in both cross-validation classification accuracy and calculating time. (shrink)

The relationship between bilingual language control and domain-general cognitive control has been a hot topic in the research field of bilingualism. Previous studies mostly examined the correlation between performances of bilinguals in language control tasks and that in domain-general cognitive control tasks and came to the conclusions that they overlap, partially overlap, or are qualitatively different. These contradictory conclusions are possibly due to the neglect of the moderating effect of second language proficiency, that is, the relationship between bilingual language control (...) and domain-general cognitive control might vary with the L2 proficiency of bilinguals. To examine this hypothesis, we recruited 36 unbalanced Chinese-English bilinguals to perform the Simon task, Oxford Placement Test, and picture naming tasks in single-and dual-language contexts. We find that Simon scores positively predicted switching costs in bilinguals with low L2 proficiency, but not in bilinguals with high L2 proficiency. Furthermore, Simon scores positively predicted mixing costs in bilinguals with high L2 proficiency, but not in bilinguals with low L2 proficiency. These results verify the moderating effect of L2 proficiency on the relationship between bilingual language control and domain-general cognitive control, that is, bilinguals with more proficient L2 rely on domain-general cognitive control less for local language control and more for global language control. This may imply a shift from local to global for the dependency of bilingual language control on domain-general cognitive control during the L2 development of bilinguals. (shrink)

In China, the increasing traffic pressure has created traffic policing problems such as the heavy workloads of traffic police, as well as more conflicts between traffic police and road users. The treatment of traffic policing as a semiotic practice provides both a new perspective in and a helpful approach to dealing with these problems, yet few studies have investigated how semiotic resources are used in traffic policing interactions. This article examines the supportive role of semiotic resources in traffic policing, and (...) draws upon genre and exchanges involved as an illustration. The data include three audio recordings of traffic accident handling cases in Shanghai, China. Through qualitative analysis of the data from the perspective of Systemic Functional Linguistics, this article identifies the genre stages in traffic accident handling and their logico-semantic relations, and situates the typical exchanges and moves used by traffic police in different stages. It also discusses the usefulness of semiotic resources for traffic policing and the implications of these resources in tackling the existing problems of traffic policing in China. (shrink)

The no-wait flow-shop scheduling problem with sequence-dependent setup times and release times is a typical NP-hard problem. This paper proposes an enhanced differential evolution algorithm with several fast evaluating strategies, namely, DE_FES, to minimize the total weighted tardiness objective for the NFSP with SSTs and RTs. In the proposed DE_FES, the DE-based search is adopted to perform global search for obtaining the promising regions or solutions in solution space, and a fast local search combined with three presented strategies is designed (...) to execute exploitation from these obtained regions. Test results and comparisons with two effective meta-heuristics show the effectiveness and robustness of DE_FES. (shrink)