The primary purpose here is to ascertain what Heidegger's comportment toward East-West dialogue is most plausibly like in the light of his philosophical concerns and orientations. Considering that one should not uncritically take at face value occasional remarks by Heidegger that seem to suggest that he is preparing an East-West dialogue, we will proceed from Heidegger's own path of thinking and bring to light fundamental presuppositions in his thought and the response he may accordingly give to the issue of East-West (...) dialogue. (shrink)

In this article, we trace and elucidate Heidegger’s radical re-thinking on the relation between science and technology from about 1940 until 1976. A range of passages from the Gesamtausgabe seem to articulate a reversal of the primacy of science and technology in claiming that “Science is applied technology.” After delving into Heidegger’s reflection on the being of science and technology and their “coordination,” we show that such a claim is essentially grounded in Heidegger’s idea that “Science and technology are the (...) Same [das Selbe].” In addition, we argue that, although different ontic epochs can be distinguished in the evolvement of science and/or technology, for Heidegger there is only one unique ontological Epoch of modernity that encompasses various ontic epochs. Therefore, the change from an “epoch of objectivity” to an “epoch of orderability [Bestellbarkeit]” cannot be considered to be an ontological shift. Furthermore, it is not right to ascribe to Heidegger the view that the development of quantum physics signals the beginning of a new ontological Epoch. (shrink)

Deontology and utilitarianism are two competing principles that guide our moral judgment. Recently, deontology is thought to be intuitive and is based on an error-prone and biased approach, whereas utilitarianism is relatively reflective and a suitable framework for making decision. In this research, the authors explored the relationship among moral identity, moral decision, and moral behavior to see how a preference for the deontological solution can lead to moral behavior. In study 1, a Web-based survey demonstrated that when making decisions, (...) individuals who viewed themselves as moral people preferred deontological ideals to the utilitarian framework. In study 2, the authors investigated the effect of moral identity and moral decision on moral behavior in an experimental study. The results showed that when deontology was coupled with the motivational power of moral identity, individuals were most likely to behave morally. (shrink)

This study integrates the resource dependence perspective and the stakeholder perspective to analyze local Chinese suppliers’ environment strategies in response to environmental requirements of different types of customers. With a sample of 1,215 local Chinese manufacturing suppliers, we examine the impact of export intensity and environmental requirements of multinational enterprises on local Chinese suppliers’ environment strategies. The results show that local Chinese suppliers with high levels of export intensity are more likely to adopt positive environment strategies to reduce environmental risks. (...) In addition, local Chinese suppliers respond actively to environmental requirements of MNE customers but not to those of local customers. The linkage between MNE customers’ environmental requirements and local Chinese suppliers’ environment strategies remains significant, even after we control for the impact of export intensity. Implications of the findings conclude the article. (shrink)

Using a panel data of 806 U.S. firms from 2006 to 2015, we find that in their ratings of corporate social responsibility performance, firms with top managers who attended religiously affiliated schools outperform their peers with no such managers. The positive relationship between religious school attendance and CSR performance is stronger among firms with lower level of community religiosity or less external monitoring. Our findings lend support to early theoretical work that suggests managerial CSR-oriented values can be key motivating factors (...) for CSR initiatives. (shrink)

The escalating integration of Artificial Intelligence (AI) in clinical settings carries profound implications for the doctrine of informed consent, presenting challenges that necessitate immediate attention. China, in its advancement in the deployment of medical AI, is proactively engaging in the formulation of legal and ethical regulations. This paper takes China as an example to undertake a theoretical examination rooted in the principles of medical ethics and legal norms, analyzing informed consent and medical AI through relevant literature data. The study reveals (...) that medical AI poses fundamental challenges to the accuracy, adequacy, and objectivity of information disclosed by doctors, alongside impacting patient competency and willingness to give consent. To enhance adherence to informed consent rules in the context of medical AI, this paper advocates for a shift towards a patient‐centric information disclosure standard, the restructuring of medical liability rules, the augmentation of professional training, and the advancement of public understanding through educational initiatives. (shrink)

BackgroundMedical disputes, medical disturbances, verbal and physical violence against physicians, and burnout have reached epidemic levels. They may negatively impact both physicians and the healthcare system. The experience of medical disputes, medical disturbances, verbal, and physical violence, and burnout and the correlates in physicians working in public hospitals in China needed to be investigated.MethodsA nationwide cross-sectional survey study was conducted between 18 and 31 March 2019. An anonymous online questionnaire was administered. The questionnaire included the 22-item Maslach Burnout Inventory-Human Services (...) Survey. We also collected data on demographic and job-related factors, as well as physicians’ experiences of medical disputes, medical disturbances, verbal and physical violence from patients and the patients’ family members.FindingsIn total, 22,213 physicians from 144 tertiary public hospitals in all of China’s 31 provinces completed the survey. The overall burnout rate among the surveyed physicians was 31.28%. Moreover, 33.48% of physicians experienced disputes, 20.86% experienced disturbances, 48.52% experienced verbal violence, and 5.84% experienced physical violence in the past 12 months. Factors found to be significantly associated with burnout included younger age, being divorced or widowed, having a lower educational background, working in internal medicine departments, longer working hours per day, working in general hospitals, being in East China, as well as having experienced disputes, disturbances, and physical and verbal violence.InterpretationClose to a third of the Chinese doctors working in the tertiary hospitals reportedly experienced burnout, and the problem is related to the unsafe working environment caused by the worsening doctor-patient relationship. (shrink)

The poor denoising effect for noisy grayscale images with traditional processing methods would be obtained under strong noise condition, and some image details would be lost. In this paper, a parallel array model of Fitzhugh–Nagumo neurons was proposed, which can restore noisy grayscale images well with low peak signal-to-noise ratio conditions and the image details are better preserved. Firstly, the row-column scanning method was used to convert the 2D grayscale image into a 1D signal, and then the 1D signal was (...) converted into a binary pulse amplitude modulation signal by signal modulation. The modulated signal was input to an FHN parallel array for stochastic resonance. Finally, the array output signal was restored to a 2D gray image, and the image restoration effect was analyzed based on the PSNR and Structural SIMilarity index. It is shown that the SR effect can be exhibited in an array of FHN neuron nonlinearities by increasing the array size, and the image restoration effect is significantly better than the traditional image restoration method, and larger PSNR and SSIM can be obtained. It provides a new idea for grayscale image restoration in a low PSNR environment. (shrink)

Battery energy storage is the pivotal project of renewable energy systems reform and an effective regulator of energy flow. Parallel battery packs can effectively increase the capacity of battery modules. However, the power loss caused by the uncertainty of parallel battery branch current poses severe challenge to the economy and safety of electric vehicles. Accuracy of battery branch current prediction is needed to improve the parallel connection. This paper proposes a radial basis function neural network model based on the pigeon-inspired (...) optimization method and successfully applies the algorithm to predict the parallel branch current of the battery pack. Numerical results demonstrate the high accuracy of the proposed pigeon-inspired optimized RBF model for parallel battery branch forecasting and provide a useful tool for the prediction of parallel branch currents of battery packs. (shrink)

This edited book focuses on non-classical logics and their applications, highlighting the rapid advances and the new perspectives that are emerging in this area. Non-classical logics are logical formalisms that violate or go beyond classical logic laws, and their specific features make them particularly suited to describing and reason about aspects of social interaction. The richness and diversity of non-classical logics mean that this area is a natural catalyst for ideas and insights from many different fields, from information theory to (...) game theory and business science. This volume is the post-proceedings of the 8th International Conference on Logic and Cognition, held at Sun Yat-Sen University Institute of Logic and Cognition in Guangzhou, China in December 2016. The conference series started in 2001, and is organized by the ILC, often in collaboration with various international research groups. This eighth installment was jointly organized by ILC and Alessandra Palmigiano's Applied Logic research group. The conference series aims to foster the development of effective logical tools to study social behavior from a philosophical, cognitive and formal perspective in order to challenge the field of logic in ways that open up new and exciting research directions. Chapter "The Category of Node-and-Choice Forms, with Subcategories for Choice-Sequence Forms and Choice-Set Forms" of this book is available open access under a CC BY 4.0 license at link.springer.com. (shrink)

There is an embarrassing polarization of opinions about the status of economics as an academic discipline, as reflected in epithets such as the Dismal Science and the Queen of the Social Sciences. This collection brings together some of the leading figures in the methodology and philosophy of economics to provide a thoughtful and balanced overview of the current state of debate about the nature and limits of economic knowledge. Authors with partly rival and partly complementary perspectives examine how abstract models (...) work and how they might connect with the real world, they look at the special nature of the facts about the economy, and they direct attention towards the academic institutions themselves and how they shape economic research. These issues are thus analysed from the point of view of methodology, semantics, ontology, rhetoric, sociology, and economics of science. (shrink)

Studying drug relationships can provide deeper information for the construction and maintenance of biomedical databases and provide more important references for disease treatment and drug development. The research model has expanded from the previous focus on a certain drug to the systematic analysis of the pharmaceutical network formed between drugs. Network model is suitable for the study of the nonlinear relationship of the pharmaceutical relationship by modeling the data learning. Association rule mining is used to find the potential correlations between (...) the various sets of massive data. Therefore, based on the network model, this research proposed an algorithm for drug interaction under improved association rules, which achieved accurate analysis and decision-making of drug relationship. Meanwhile, this research applied the established association rule algorithm to discuss the relationship between Chinese medicine and mental illness medicine and conducted the algorithm research and simulation analysis of the association relationship. The results showed the association rule algorithm based on the network model constructed was better than other association algorithms. It had reliability and superiority in decision-making in improving the drug-drug relationship. It also promoted the rational use of medicines and played a guiding role in pharmaceutical research. This provides scientific research personnel with research basis and research ideas for disease-related diagnosis. (shrink)

In recent years, the green aviation technology draws more attention, and more hybrid power units have been applied to the aerial vehicles. To achieve the high performance and long lifetime of components during varied working conditions, the effective regulation of the energy management is necessary for the vehicles with hybrid power unit. In this paper, power prediction-based model predictive control for energy management strategy is proposed for the vehicle equipped with HPU based on turboshaft engine in order to maintain proper (...) battery’s state of charge and decrease turboshaft engine’s exhaust gas temperature. First, a modeling approach based on data-driven method is adopted to obtain the mathematical model of turboshaft engine considering time delay and inertial of states. An integrated power predictor consisting of the classification of input status and the subpredictors are developed based on the deep learning method to improve the accuracy of the prediction model of the model predictive control. Subsequently, an EMS based on MPC using the proposed power predictor is introduced to regulate the SOC of battery and the EGT of turboshaft engine. The comparison with experimental results shows the high accuracy of mathematical model of turboshaft engine. The simulation results show the effectiveness of the proposed EMS for the vehicle, and the effects of different weight coefficients of objective function on the proposed EMS are discussed. (shrink)

The beliefs of economists are not solely determined by empirical evidence in direct relation to the theories and models they hold. Economists hold 'ontological presuppositions', fundamental ideas about the nature of being which direct their thinking about economic behaviour. In this volume, leading philosophers and economists examine these hidden presuppositions, searching for a 'world view' of economics. What properties are attributed to human individuals in economic theories, and which are excluded? Does economic man exist? Do markets have an essence? Do (...) macroeconomic aggregates exist? Is the economy a mechanism, the functioning of which is governed by a limited set of distinct causes? What are the methodological implications of different ontological starting points? This collection, which establishes economic ontology as a coordinated field of study, will be of great value to economists and philosophers of social sciences. (shrink)

Impact investing urges investors to weigh the social and environmental impacts of their investment decisions. However, in practice, it remains unclear whether investors in financial products are driven by ethical motivations, such as environmental considerations, and what factors influence their trust in the non-financial aspects (e.g., green attributes) of these investments. This study investigates the ethical motivations behind investors’ decisions to invest in green bonds using a machine learning-assisted causal inference framework based on data collected on all green and conventional (...) bonds issued worldwide from 2007 to 2022. It also explores the underlying factors contributing to investors’ trust in green bonds by examining four perspectives: the issuer’s environmental performance, the transparency and governance of environmental disclosure related to bonds, and the financing purpose of the bonds. The results indicate that (1) investors are willing to forgo financial gains for environmental causes, with this sacrifice quantified as an 18 basis points (bps) green premium, demonstrating a clear ethical motivation; (2) the credibility of bond information, financing purposes, and issuer’s greenhouse gas emission intensity directly influence investors’ trust in green bonds, while bond information disclosure and the issuer’s environmental (E) scores have only indirect effects; and (3) companies with weaker environmental performance often adopt proactive disclosure or certification policies to bolster investors’ green trust. This study is the first to explore the factors influencing investors’ trust in green bonds and to analyze the overall causal transmission mechanism among these factors using a causal inference framework. (shrink)

This paper uses the network perceived usefulness scale, Information and Communication Technology self-efficacy scale, teacher support questionnaire and higher vocational students’ information literacy scale to explore the multiple intermediary functions of network perceived usefulness and ICT self-efficacy in teacher support and higher vocational students’ information literacy from the perspective of multiple intermediary effects, and uses structural equation model for data modeling and analysis. The results show that the information literacy of higher vocational students is positively correlated with teacher support, usefulness (...) of network perception and ICT self-efficacy. Teachers’ support is positively correlated with ICT self-efficacy and network perceived usefulness, and network perceived usefulness and ICT self-efficacy play a significant mediating role between teachers’ support and information literacy of higher vocational students. Based on the research results, some suggestions are put forward to guide teachers to help students clearly recognize the role of information technology, improve ICT self-efficacy, improve information literacy and better integrate into digital society. (shrink)

Introduction: Broad issues relating to filial piety and ethical dilemmas of families and care practitioners in residential care were discussed as part of an international networking project. It is meaningful to explore the different roles and responsibilities of participants in residential care in the context of China’s filial piety. Older residents and their children are part of this caring process, which might be significantly different from that in Western countries. However, only a little amount of research related to this topic (...) has been conducted. Objective: This study aimed to identify and describe the roles and responsibilities of a nursing professional, manager, older person, and her children, as well as other mutual contacts in residential care, based on the context of Chinese filial piety culture. Methods: The study was conducted as a case study. The product of the analysis, themes, or categories that describe the phenomenon, content analysis method was applied. After a consultation with a group of experts on research on older adults, a specific nursing home was selected in Xiamen City, China. This case study emphasized the roles and responsibilities of a nursing professional, manager, the older resident, and her children as they related to the care of older adult. The data, which consisted of interviews with four participants, were collected using a semi-structured interview method. Inductive content analysis was applied to analyze data. Ethical considerations: Permission to conduct the interviews received ethical approval from the participating organization based on national standards. The elements of voluntary participation, anonymity, and confidentiality on the part of the respondent were explained. Findings: The analysis resulted in four participants, with some variation of roles and responsibilities, describing staffing level and competence and their behavior for reducing the accident of the older adult, and the children of older adult influencing the quality of taking care of the older adult, based on the filial piety. The nursing home residents were described as becoming increasingly complex with a subsequent demand for increased spiritual support. There was variation in roles and responsibilities among four participants, but their contributions adjusting was an overall focus. Manager plays a considerable role in the future development of the institution, as a resource allocator, and decision-maker. Nursing professional is the main personnel serving as a link among staffs. The older adult herself adjust mentally and actively with the aging process, and some of them can be able to burden in taking care of her grandchildren or can be rehired and still have a distinct role in society. Children are required to fulfill their obligations to their parents, which involves supports of care, spiritual and economy. Several factors such as managers and nursing professional competence and their cooperation, various aspects of supports from their children based on the filial piety, and adequate communication and self-adjusting of the older adult, were recognized as factors affecting the process of taking care of the older adult. Discussion: New information was produced to serve as theoretical guidelines in managing nursing homes, the training of nursing staff, preservation of the filial piety culture, and encouraging self-care among older people in the new era. Conclusion: A variety of roles and responsibilities for a nursing professional, manager, MrsWang and her children was identified in the older adult care process. Several factors to manager’s and nursing professional’s experience of the resource situation and competence level, and also adequate communication and self-adjusting of the older adult were suggested to affect the effect of taking care of the older adult. The older adults were perceived as more complex with more physical and mental problems but inadequate care from family members forcing the older adult from home care to a nursing home. A nursing home seems to have a higher nursing competence and be well-suited for the needs of the older adult, on the other hand, filial piety and self-care are also needed to play an important role in taking care of the older adult. (shrink)

En esta discusión abordo la hermenéutica analógica de Mauricio Beuchot comparándola con la hermenéutica filosófica de Hans-Georg Gadamer. Argumento que Beuchot vuelve a la idea clásica de la hermenéutica como método de interpretación y no la juzga, como Gadamer, como una fenomenología de la comprensión. Sin embargo, Beuchot no atiende las razones de Gadamer en contra de concebir la hermenéutica como una metodología. Si se considera como metodología centrada en la analogía, la hermenéutica analógica deja de lado otros recursos interpretativos (...) importantes. Finalmente, Beuchot adopta una teoría correspondentista de la verdad contra la que argumenta Gadamer y que es incompatible con una hermenéutica filosófica. In this paper I analyze Mauricio Beuchot's analogical hermeneutics by contrasting it with Hans-Georg Gadamer's philosophical hermeneutics. I argue that Beuchot goes back to the classical idea of hermeneutics as a method of interpretation, and does not see it, as Gadamer does, as a phenomenology of understanding. However, Beuchot does not address Gadamer's arguments against using hermeneutics as a methodology. Considered as a methodology centered on analogy, analogical hermeneutics overlooks other important interpretation resources. Finally, Beuchot adopts a correspondence theory of truth, which Gadamer objects and is incompatible with philosophical hermeneutics. (shrink)

We investigate cluster-delay synchronization of a directed network possessing cluster structures by designing an intermittent control protocol. Based on Lyapunov stability theory, we proved that synchronization can be realized for oscillators in the same cluster and cluster-delay synchronization can be realized for the whole network. By simplifying the obtained sufficient conditions, we carry out a succinct and utilitarian corollary. In addition, comparative researches are carried out to show the differences and the usefulness of the obtained results with respect to other (...) similar controllers from the recent literature. Finally we provide two numerical examples to show the effectiveness of the control schemes. (shrink)

Parallel attribute reduction is one of the most important topics in current research on rough set theory. Although some parallel algorithms were well documented, most of them are still faced with some challenges for effectively dealing with the complex heterogeneous data including categorical and numerical attributes. Aiming at this problem, a novel attribute reduction algorithm based on neighborhood multigranulation rough sets was developed to process the massive heterogeneous data in the parallel way. The MapReduce-based parallelization method for attribute reduction was (...) proposed in the framework of neighborhood multigranulation rough sets. To improve the reduction efficiency, the hashing Map/Reduce functions were designed to speed up the positive region calculation. Thereafter, a quick parallel attribute reduction algorithm using MapReduce was developed. The effectiveness and superiority of this parallel algorithm were demonstrated by theoretical analysis and comparison experiments. (shrink)

This study focuses on the static output feedback control of nonlinear Markov jump singularly perturbed systems within the framework of Takagi–Sugeno fuzzy approximation. From a practical point of view, the phenomenon of asynchronous switching between the plant and the controller is considered and characterized by a finite piecewise-homogenous Markov process. Particularly, for facilitating the controller synthesis, the closed-loop system is transformed into a fuzzy Markov jump singularly perturbed descriptor system by adopting descriptor representation. In order to fully accommodate the system (...) features, an appropriate stochastic Lyapunov function is constructed. Afterwards, by combining Finsler’s lemma, the mean square exponential admissibility of the system is analyzed. The conditions ensuring the existence of the predesigned controller are given and further solved by designing a brief search algorithm. Finally, a typical circuit system is used to demonstrate the application potential of the developed control technology and the effectiveness of the control strategy. (shrink)

Intracellular NLR (Nucleotide‐binding domain and Leucine‐rich Repeat‐containing) receptors are sensitive monitors that detect pathogen invasion of both plant and animal cells. NLRs confer recognition of diverse molecules associated with pathogen invasion. NLRs must exhibit strict intramolecular controls to avoid harmful ectopic activation in the absence of pathogens. Recent discoveries have elucidated the assembly and structure of oligomeric NLR signalling complexes in animals, and provided insights into how these complexes act as scaffolds for signal transduction. In plants, recent advances have provided (...) novel insights into signalling‐competent NLRs, and into the myriad strategies that diverse plant NLRs use to recognise pathogens. Here, we review recent insights into the NLR biology of both animals and plants. By assessing commonalities and differences between kingdoms, we are able to develop a more complete understanding of NLR function. (shrink)

The security of the civil aviation network is closely related to flight safety. Security situation prediction is the advanced stage of situational awareness in the civil aviation network. In this article, a prediction approach of security situations for the air traffic management network is proposed on the basis of the wavelet neural network. The proposed approach adopts the wavelet theory and neural network, combining a time-series forecasting method for the prediction of security situations in the civil aviation network. The experimental (...) results show that this approach has the advantages of fast training and high prediction accuracy. (shrink)

We aim to construct exact and explicit solutions to a generalized Bogoyavlensky-Konopelchenko equation through the Maple computer algebra system. The considered nonlinear equation is transformed into a Hirota bilinear form, and symbolic computations are made for solving both the nonlinear equation and the corresponding bilinear equation. A few classes of exact and explicit solutions are generated from different ansätze on solution forms, including traveling wave solutions, two-wave solutions, and polynomial solutions.

In an era of unrivalled sequencing, computation and networking capability, international sharing of genomic samples and data is becoming a modus operandi for modern medical research. Researchers are collaborating to establish large collections with global scale. Having never before set foot outside the cell, the molecules that shape us are being digitized and launched across the globe. Protecting individual privacy interests in this information is a central challenge of the genomic research era. This article reviews international privacy norms governing human (...) genomic biobanks and databases. It will not directly consider biobanks established for other health-related purposes, such as screening or therapy. A genomic biobank is “a hybrid infrastructure,” an organized collection of human biological material combined with associated health information: physical measurements, outcome data in medical records, and epidemiological information, as well as genomic data derived from the samples. (shrink)