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PurposeThe effect of sensorimotor stripping on neuroplasticity and motor imagery capacity is unknown, and the physiological mechanisms of post-amputation phantom limb pain (PLP) illness remain to be investigated.Materials and methodsIn this study, an electroencephalogram (EEG)-based event-related (de)synchronization (ERD/ERS) analysis was conducted using a bilateral lower limb motor imagery (MI) paradigm. The differences in the execution of motor imagery tasks between left lower limb amputations and healthy controls were explored, and a correlation analysis was calculated between level of phantom limb pain (...) and ERD/ERS.ResultsThe multiple frequency bands showed a significant ERD phenomenon when the healthy control group performed the motor imagery task, whereas amputees showed significant ERS phenomena in mu band. Phantom limb pain in amputees was negatively correlated with bilateral sensorimotor areas electrode powers.ConclusionSensorimotor abnormalities reduce neural activity in the sensorimotor cortex, while the motor imagination of the intact limb is diminished. In addition, phantom limb pain may lead to over-activation of sensorimotor areas, affecting bilateral sensorimotor area remodeling. (shrink)

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Using a sample of Chinese listed firms for the period of 2004–2010, this study examines the impact of religion on corporate philanthropic giving. Based on hand-collected data of religion and corporate philanthropic giving, we provide strong and robust evidence that religion is significantly positively associated with Chinese listed firms’ philanthropic giving. This finding is consistent with the view that religiosity has remarkable effects on individual thinking and behavior, and can serve as social norms to influence corporate philanthropy. Moreover, religion and (...) corporate philanthropic giving have a significantly weaker (less pronounced) positive association for state-owned enterprises than for non-state-owned enterprises. The results are robust to a variety of sensitivity tests. Our results highlight religious influence on corporate philanthropic giving in contemporary China, an old traditional country with a typical communist economy. (shrink)

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Using a sample of Chinese listed firms in polluting industries for the period of 2008–2010, we empirically investigate whether and how Buddhism, China’s most influential religion, affects corporate environmental responsibility (CER). In this study, we measure Buddhist variables as the number of Buddhist monasteries within a certain radius around Chinese listed firms’ registered addresses. In addition, we hand-collect corporate environmental disclosure scores based on the Global Reporting Initiative (GRI) sustainability reporting guidelines. Using hand-collected Buddhism data and corporate environmental disclosure scores, (...) we provide strong and robust evidence that Buddhism is significantly positively associated with CER. This finding is consistent with the following view: Buddhism can serve as social norms to evoke the consciousness of social responsibility, and thereof strengthen CER. Our findings also reveal that the positive association between Buddhism and CER is attenuated for firms with higher law enforcement index. The results are robust to various measures of Buddhism and a variety of sensitivity tests. (shrink)

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To evaluate the performance of rural land circulation mode through the analytic network hierarchy process, based on the results of the performance evaluation with analytic network process, we implemented efficiency analysis on five types of rural land circulation mode by two improved efficiency analytic procedures. Finally, we implemented sensitivity analysis for each criterion layer of the evaluation index system with the performance evaluation data, interpreted five types of rural land circulation mode from three perspectives including benefits, costs, and risks with (...) sensitivity analysis results, and drew related conclusions including higher revenue which will lead to smaller difficulty of the rural land circulation. Cost variables were negative variables of the selected rural land circulation mode, and higher risk would lead to the greater difficulty of rural land circulation and related conclusions. (shrink)

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Using a sample of 11,357 firm-year observations from the Chinese stock market for the period of 2001–2011, we investigate whether and how religion can mitigate earnings management. Specifically, based on geographic-proximity-based religion variables, we provide strong and robust evidence to show that religion is significantly negatively associated with the extent of earnings management, suggesting that religion can serve as a set of social norms to mitigate corporate unethical behavior such as earnings management. Our findings also reveal that the negative association (...) between religion and earnings management is less pronounced for firms with closer distance to the regulatory centers than for their counterparts, implying the substitutive effects between religion and the distance to regulators on mitigating earnings management. The above results are robust to different measures of earnings management, various religion variables, and a variety of sensitivity tests. (shrink)

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At an early stage of its foundation, new China became clear about the nature of public welfare and quickly developed medical and health services, which was well received by the World Health Organization. The marketization and the reduction of input into medical and health services from the 1980s created severe adverse consequences. After the SARS' outbreak in 2003, China started to give serious consideration to its medical and health system, and to work at developing medical and health services. The new (...) healthcare reform launched in 2009 re-emphasizes fairness and public welfare, and China's achievements have been remarkable. Of course, there are still many problems to be solved in the reform, which also paves the way for increasing the reform in future. (shrink)

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The latest book is a timely application of the Pragma-Dialectical argumentative approach to medical consultation. The book consists of six chapters, which are concerned with topics pertaining to resolving differences of the opinion in doctor-patient interaction. With the publication of the book, the authors have made new contributions to the field of doctor-patient argumentative discourse.

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Young netizens are an emerging generator of online content, engaging in an increasing number of online flaming interactions. This shortened communication mode has incorporated power amplifiers, enabling the inclusion of both verbal and non-verbal triggers, thereby initiating abuses akin to cyberbullying. Cyberbullying has emerged as an extremely unstable hot issue, which is difficult to regulate upstream, severely impacting inexperienced young netizens. This Machiavellian apparatus proves to be sophisticated, given its powerful nature, and results in its victims being ensnared in a (...) cyber net from which they see very little escape. Laws have been enacted to combat cyberbullying, which is rampant among netizens, highly naive or actively aggressive in their use of various social media platforms. (shrink)

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Using Chinese listed companies as research setting, this paper constructs a measure of corporate competing culture through textual analysis on firms’ management discussion and analysis disclosures, and examines the impact of corporate competing culture on environmental investment. The results show that competing culture has a significant and positive impact on firms’ environmental investment, and the results remain robust to a battery of robustness tests. Moreover, the mediating analysis indicates that competing culture promotes corporate environmental investment through enhancing firms’ internal control (...) quality. Furthermore, the heterogeneity results show that the positive impact of corporate competing culture on environmental investment is more pronounced in firms with larger size, stronger corporate governance, in high-polluting industry, and located in less developed regions. Our findings shed light on the importance of corporate competing culture and provide practical implications for corporate sustainable development. (shrink)

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This study examines the influence of corporate environmental performance on the propensity that auditors issue modified audit opinions and further investigates the moderating effects of internal control and greenwashing. Using a sample of Chinese listed firms, our findings reveal that corporate environmental performance is significantly negatively associated with modified audit opinions, suggesting that auditors applaud environmentally friendly firms. Moreover, internal control reinforces the negative association between corporate environmental performance and modified audit opinions, but greenwashing attenuates the negative effect of corporate (...) environmental performance on modified audit opinions. The findings are robust to various sensitivity tests, and our conclusions are still valid after controlling for the potential endogeneity. Additional tests reveal that corporate environmental performance is negatively associated with modified audit opinions only for firms without audit opinion shopping and corporate environmental performance is significantly negatively associated with both earnings management and audit fees. (shrink)

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Investor recommendation is a critical and challenging task for startups, which can assist startups in locating suitable investors and enhancing the possibility of obtaining investment. While some efforts have been made for investor recommendation, few of them explore the impact of startups’ features, including partners, rounds, and fields, to investor recommendation performance. Along this line, in this paper, with the help of the heterogeneous information network, we propose a FEatures’ COntribution Measurement approach of startups on investor recommendation, named FECOM. Specifically, (...) we construct the venture capital heterogeneous information network at first. Then, we define six venture capital metapaths to represent the features of startups that we focus on. In this way, we can measure the contribution of startups’ features on the investor recommendation task by validating the recommendation performance based on different metapaths. Finally, we extract four practical rules to assist in further investment tasks by using our proposed FECOM approach. (shrink)

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With the fast development of web 2.0, information generation and propagation among online users become deeply interweaved. How to effectively and immediately discover the new emerging topic and further how to uncover its evolution law are still wide open and urgently needed by both research and practical fields. This paper proposed a novel early emerging topic detection and its evolution law identification framework based on dynamic community detection method on time-evolving and scalable heterogeneous social networks. The framework is composed of (...) three major steps. Firstly, a time-evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms; secondly, a novel dynamic community detection method is proposed by which the new emerging topic is detected on the modeled time-evolving and scalable KeyGraph network; thirdly, a unified directional topic propagation network modeled by a great number of short texts including microblogs and news titles is set up, and the topic evolution law of the previously detected early emerging topic is identified by fully utilizing local network variations and modularity optimization of the “time-evolving” and directional topic propagation network. Our method is proved to yield preferable results on both a huge amount of computer-generated test data and a great amount of real online network data crawled from mainstream heterogeneous social networks. (shrink)

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In this paper, we analyze the intelligent subdesign of the simulated marking system through an in-depth study of it. This paper proposes a correlation analysis-based quantification of N-element sense values and a rationality enhancement-based scoring fitting algorithm for English essays. This paper also extracts word features, sentence features, and chapter structure features in essays to fit English composition scores. Since not all students can complete the essays according to the topic requirements, a triage scoring model is used to separate the (...) normal essays from the low-scoring essays. Statistically, it was found that the essay scores also showed a certain normal distribution. The standard support vector regression algorithm is prone to data skewing problems, so this paper addresses this problem by using a rationality enhancement method that gives a corresponding penalty factor according to the distribution of the dataset. The results show that the English essay scoring fitting algorithm proposed in this paper can well improve the prediction accuracy of some data and solve the problem of skewed data where the scores show a normal distribution. This paper designs and implements an online mock examination system that incorporates an intelligent scoring system for essays, enabling it to meet the needs of teachers and students for online examinations and intelligent scoring. (shrink)

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Real-time smoke detection is of great significance for early warning of fire, which can avoid the serious loss caused by fire. Detecting smoke in actual scenes is still a challenging task due to large variance of smoke color, texture, and shapes. Moreover, the smoke detection in the actual scene is faced with the difficulties in data collection and insufficient smoke datasets, and the smoke morphology is susceptible to environmental influences. To improve the performance of smoke detection and solve the problem (...) of too few datasets in real scenes, this paper proposes a model that combines a deep convolutional generative adversarial network and a convolutional neural network to extract smoke features and detection. The vibe algorithm was used to collect smoke and nonsmoke images in the dynamic scene and deep convolutional generative adversarial network used these images to generate images that are as realistic as possible. Besides, we designed an improved convolutional neural network model for extracting smoke features and smoke detection. The experimental results show that the method has a good detection performance on the smoke generated in the actual scenes and effectively reduces the false alarm rate. (shrink)

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Considering the effect of the local topology structure of an edge on cascading failures, we investigate the cascading reaction behaviors on scale-free networks with respect to small edge-based initial attacks. Our aim is to explore the relationship between some parameters and universal robustness characteristics against cascading failures on scale-free networks. We find by the theoretical analysis that the Baraba'si-Albert (BA) scale-free networks can reach the strongest robustness level against cascading failures when α + β = 1, where the robustness is (...) quantified by a transition from normal state to collapse. And the network robustness has a positive correlation with the average degree. We furthermore confirm by the numerical simulations these results. (shrink)

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This paper investigates the applicability of reliabilism to scientific knowledge, and especially focuses on two doubts about the applicability: one about its difficulty in accounting for the epistemological role of scientific instruments, and the other about scientific theories. To respond to the two doubts, we extend virtue reliabilism, a reliabilist-based virtue epistemology, with a distinction of two types of epistemic virtues and the extended mind thesis from Clark and Chalmers (Analysis 58:7–19, 1998 ). We also present a case study on (...) the quantitative research methodology of social sciences to show that the methodology is actually an extended virtue reliabilism on how social science instruments and theories contribute to the formation of social scientific knowledge. (shrink)

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Emotions are now considered critical elements of a successful education. In English as a Foreign Language context, there are many challenges for teachers to deal with. Hence, it is necessary to take their emotions into consideration. Despite many studies in this area, researching teachers’ positive mood, hope, and academic buoyancy has been left less attended. Trying to introduce this line, the present study reviewed the definitions, related concepts, theories, and previous studies done on these three variables in detail. It also (...) touched upon the origins of researching emotion in educational contexts describing different schools of psychology. Additionally, the study offered some practical implications for EFL teachers, students, policy-makers, teacher trainers, and researchers. Finally, it enumerated the existing gaps in this area and made a number of research suggestions for future research. (shrink)

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The evaluation index system of ecological security of marine ranching is based on the assumption that there is independence among evaluation indexes in the existing studies, which ignores the complex interactive paths of marine ranching as an artificial ecosystem. In this study, the MRES evaluation network model that includes interdependent relationships is established based on the Driver-Pressure-State-Impact-Response model and the analytic network process method. Then, the probabilistic linguistic term sets and analytic network process methods are used to calculate the weights (...) of the evaluation indexes of MRES. The overall evaluation value and the contribution rate of clusters are consequently defined and analyzed to reflect the performance of MRES. Finally, a case study is carried out for evaluating the MRES of marine ranches in Rongcheng by means of the proposed method. The conclusions are summarized as follows: The weights of clusters are ranked as Responses > Impact > Driver > State > Pressure, and “scientific management of fishery resources” is the most important index; the MRES performance of marine ranches in the city of Rongcheng is at the medium security grade on the whole, and all 11 samples are driven by the response. (shrink)

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Most complex real systems are found to have multiple layers of connectivity and required to be modelled as multiplex networks. One of the extremely critical problems is to reduce the congestion and enhance the transfer capacity, especially in real communication networks with a big data environment. A novel and effective strategy to improve traffic and control congestion is proposed by adding edges according to their weights which are defined by the topology structural properties. Furthermore, which layer is more effective when (...) our strategy is applied is discussed based on its topology structure. Adding edges between nodes whose product of multiplex network betweenness is the highest is confirmed to be more effective, particularly in the layer with stronger community structure. Simulation experiments on both computer-generated and real-world networks demonstrate that our strategy can enhance the transfer capacity of multiplex networks significantly, which is in good agreement with our analysis. (shrink)

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With the change in the location of school education from the classroom to the home during the COVID-19 outbreak, there should be more educational caregiving from children’s parents when children learn online. Parental involvement in children’s online learning including study guide and psychological counseling is the specific content of educational caregiving, which is different from face-to-face learning. More attention should be paid to parental involvement and parents’ satisfaction with the online learning effect. This study therefore conducted a survey on middle (...) school students’ parents to establish a moderating model, exploring the influence of parental involvement on parent satisfaction, and the number of children and parental education level as the moderator variables influencing parental involvement. The results show that there is a significant positive correlation between parental involvement and satisfaction, while the parental education level and the number of children both have a moderating effect on the relationship between parental involvement and parent satisfaction. The moderating effect of the education level of parents shows negative, while the moderating effect of the number of children is positive. An interesting finding is that the number of children has a very low influence on parental involvement. (shrink)

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To solve the problem of user privacy disclosure caused by attacks on anonymous areas in spatial generalization privacy protection methods, a K and P Dirichlet Retrieval method based on k-anonymity mechanism is proposed. First, the Dirichlet graph model is introduced, the same kind of information points is analyzed by using the characteristics of Dirichlet graph, and the anonymous set of users is generated and sent to LBS server. Second, the relationship matrix is generated, and the proximity relationship between the user (...) position and the target information point is obtained by calculation. Then, the private information retrieval model is applied to ensure the privacy of users’ target information points. Finally, the experimental results show that the KPDR method not only satisfies the diversity of l 3 / 4, but also increases the anonymous space, reduces the communication overhead, ensures the anonymous success rate of users, and effectively prevents the disclosure of user privacy. (shrink)

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Appropriate and balanced decision-making is sentinel to goal setting and the provision of appropriate clinical care that are attuned to preserving the best interests of the patient. Current family-led decision-making in family-centric societies such as those in Singapore and other countries in East Asia are believed to compromise these objectives in favor of protecting familial interests. Redressing these skewed clinical practices employing autonomy-based patient-centric approaches however have been found wanting in their failure to contend with wider sociocultural considerations that impact (...) care determinations. Evaluation of a number of alternative decision-making frameworks set out to address the shortcomings of prevailing atomistic and family-centric decision-making models within the confines of end-of-life care prove these alternative frameworks to be little better at protecting the best interests of vulnerable patients. As a result, we propose the Welfare Model that we believe is attentive to the relevant socio-culturally significant considerations of a particular case and better meets the needs of end-of-life care goals of preserving the welfare of patients. Employing a multi-professional team evaluation guided by regnant psychosocial, legal, and clinical standards and the prevailing practical and clinical realities of the particular patient’s setting the Welfare Model provides a clinically relevant, culturally sensitive, transparent, and evidence-based approach to care determinations. (shrink)

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Liver transplantation (LT) activities during the COVID-19 pandemic have been curtailed in many countries. The impact of various policies restricting LT on outcomes of potential LT candidates is unclear. We studied all patients on the nationwide LT waitlists in Hong Kong and Singapore between January 2016 and May 2020. We used continuous time Markov chains to model the effects of different scenarios and varying durations of disruption on LT candidates.

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This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep (...) quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control. (shrink)

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Vitiligo is a common depigmenting skin disease with profound psychosocial impacts. Depression is one of the most common mental distress. Social support has a significant impact on the psychological status of patients. The aim of this study is to investigate the depression and social support status of patients with vitiligo in China, and further explore the correlation between social support and depression. The outpatients with vitiligo were investigated face to face with SDS and SSRS. The mean SDS score of the (...) patients was 44.05 ± 6.76, which was significantly higher than Chinese norms. Female patients, unmarried, disease at rapid progressive stage and skin lesions at the exposed site had higher SDS scores. The scores of total social support, subjective support, objective support and support availability were lower than Chinese norms, and all were negatively correlated with SDS scores. In conclusion, low social support is one of the risk factors for depression in patients with vitiligo in China. More support and acceptance should be given to the patients. (shrink)

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When faced with important decisions, individuals often receive advice from others. While previous research suggests that unsolicited advice is typically met with more negative reactions due to perceived threats to personal agency, little attention has been given to contexts in which individuals willingly relinquish their decision-making agency. This study explores decision-making in trade-off scenarios, where individuals must balance conflicting moral and self-interest goals. We hypothesize and find that unsolicited advice promoting self-serving choices facilitates the transfer of decision responsibility more effectively (...) than solicited advice, leading to a preference for unsolicited advice. Furthermore, we show that this preference is moderated by the extent to which individuals emphasize moral identity symbolization and by the content of the advice. Our findings underscore the crucial role of the motivation to transfer decision responsibility in shaping responses to different forms of advice solicitation. (shrink)

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Ironic criticisms in online interactions are very common, but have rarely been examined. Following the concept of (non)propositional irony, this study investigates how online ironic criticisms are produced and responded to. The findings were derived from a mixed-methods analysis of 200 comments and 1,140 responses collected from Weibo. The analysis offers a computer-mediated taxonomy and identifies four subtypes of ironic criticisms, with different realisation forms in each subtype. Responses to negative evaluations are more common in online ironic interactions. Possible motivations (...) for the prevalence of online ironic criticisms are also discussed. The findings shed light on the creativity of ironic criticisms on social media, and suggest the need for an updated definition of ironic criticisms to account for their use in online interactions. (shrink)

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Drawing on the transactional model of stress and leader-member exchange (LMX) theory, we examine the role of performance pressure in relation to unethical pro-organizational behavior (UPB). We propose that (1) employee perceived performance pressure and LMX interact to increase employees’ willingness to engage in UPB, and (2) employees’ threat appraisal mediates this interaction effect. The results from two studies based on samples of employees in the United States and China supported our theoretical model. We found that LMX moderated the relation (...) between performance pressure and the willingness to engage in UPB, such that the relation was stronger when LMX was high (Study 1). Moreover, the conditional indirect effect (i.e., performance pressure on UPB through threat appraisal with LMX as a moderator at the first stage) was also supported (Study 2). These findings highlight the role of performance pressure and LMX in inducing unethical work behaviors that are aimed at benefiting the organization (i.e., UPB). Theoretical and managerial implications are also discussed. (shrink)

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We proposed a model to examine the relationship among different types of weight-related stigmas and their relationship to quality of life. We recruited 430 dyads of elementary school children [mean age = 10.07 years; nboy = 241 ; noverweight = 138 ] and their parents. Parents completed QoL instruments about their children assessing generic QoL and weight-related QoL. Children completed QoL instruments assessing generic QoL and weight-related QoL and stigma scales assessing experienced weight stigma, weight-related self-stigma, and perceived weight stigma. (...) Experienced weight stigma was significantly associated with perceived weight stigma, and in turn, perceived weight stigma was significantly associated with weight-related self-stigma. However, experienced weight stigma was not directly associated with weight-related self-stigma. In addition, experienced stigma was negatively associated with both child-rated and parent-rated QoL. Perceived weight stigma was associated only with parent-rated weight-related QoL but not child-rated QoL. Self-stigma was associated with child-rated QoL but not parent-rated QoL. Moreover, perceived weight stigma and weight-related self-stigma were significant mediators in the association between body weight and children's QoL; experienced weight stigma was not a significant mediator. The study findings can be used to inform healthcare providers about the relationship among different types of stigmas and their influence on child-rated and parent-rated QoL and help them develop interventions to address the global trend of overweight/obesity in youth and pediatric populations. (shrink)

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Given the omnipresence and profoundness of the ongoing pandemic from the Coronavirus disease 2019, its potential spread can be minimized through social distancing. However, this practice causes increasing difficulties and undesirability of traditional transactions or interactions. Accordingly, various manufacturing firms around the world have become more committed not only to accelerating the development of digital technologies, but also to integrating them with existing processes. In this study, we address an important issue of how manufacturing firms can adapt to the ever-changing (...) volatility and unpredictable global business environment, and achieve sustainable growth by developing a strong supply chain management capability. Two specific interrelated research questions are considered: How do supply chain management capabilities contribute to firm environmental performance; and What are the sources of such capabilities? In so doing, we integrate various forms of digital innovation into a supply chain management capability logic to explore their antecedents and consequences. By using survey data from 272 manufacturing firms in China, we examine the relationship between three key forms of digital innovation and firm environmental performance. Results show that digital product, platform, and service innovations all have positive contributions to supply chain management capability. In turn, supply chain management capabilities have a partial mediating effect between digital product innovation and firm environmental performance, but a full mediating effect between digital platform and service innovations and firm environmental performance. (shrink)

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BackgroundUser selection is an important guarantee for the sustainable development of mobile medical businesses. Under the background of increasingly fierce competition, the decision-making behavior of mobile medical businesses will directly affect the choice of the behavior of users.MethodsThe study constructs the decision-making behavior model of mobile medical business based on the user choice and adds the role of people in government. It uses the game method to explore the relationship between the government, mobile medical business, and users. Finally, it makes (...) an example analysis. Empirical research is conducted to demonstrate the influence of different parameter changes on the results.ResultsThe results show that in the absence of government intervention, users’ choice of filtering information will create a bad environment for mobile medical businesses, and further will be reduced, and the expected utility of businesses will not be affected causing a reduction in expected utility of companies. Similarly, government regulations can effectively improve the mobile medical environment and enhance the expected utility of mobile medical companies.ConclusionThe government needs to formulate relevant laws and regulations to ensure the orderly operation of the mobile medical market and strengthen government supervision. It is necessary to conduct publicity and education to protect the fundamental interests of users and businesses. (shrink)

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Marxist Philosophy in China is an important task is to use the basic theory of Marxist philosophy, viewpoint and method to sort, extract of traditional Chinese culture, philosophy. And the "legitimacy of Chinese philosophy," the discussion, while filling the job of "legitimacy" has also been a certain degree of skepticism. Including how to look at the cultural characteristics of Chinese philosophy, Western academic norms on how to look at the impact of Chinese philosophy and how to look at the transformation (...) of traditional Chinese philosophy, it is clear from the theoretical work to clarify the legality of the key. The main task of sinicizing Marxist philosophy is how to abstract philosophical thoughts from traditional Chinese culture with the guide of basic Marxist theories, viewpoints and methods. However, the validity problem of Chinese philosophy in a degree makes the validity of this project become a problem as well. How to understand the cultural identity of Chinese philosophy? How to evaluate the impact Western academic discourses left on Chinese philosophy? And how to judge the transformation of Chinese philosophy? We hold that theoretically, these three questions are the key points for the validity illumination of the project mentioned above. (shrink)

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Breaking with discriminatory views and segregated education for children with disabilities, regions often referred to as Confucian Heritage Regions (CHRs) have been moving towards inclusive education. Although some of these regions have been at the centre of attention in global education recently, there is a lack of research and information about how they ‘do’ inclusive education. Considering that reinforcing legislative foundations is of foremost importance for its fulfillment, this study examines legislation on the education of children with disabilities in four (...) neighbouring CHRs: the Chinese Mainland, Japan, South Korea and China's Taiwan. The core principles that frame such legislation were analyzed and cross-compared. The findings show that despite the common Confucian heritage that is attributed to them systematically in studies of inclusive education – which is often said to influence the way disability is perceived and dealt with – the four Regions treat inclusion differently in terms of legislation. While some CHRs are clearly influenced by e.g. the USA, others are trying to design a specific perspective on inclusive education. The authors argue that the complex example of these CHRs can serve as an important template for studies on both inclusive and comparative education. The article also calls for the careful treatment of inclusive education beyond an essentialist and somewhat simplistic perspective that could reduce certain regions to a monolith. (shrink)

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It is widespread that the consumers browse relevant reviews for reference before purchasing the products when online shopping. Some stores or users may write deceptive reviews to mislead consumers into making risky purchase decisions. Existing methods of deceptive review detection did not consider the valid product review sets and classification probability of feature weights. In this research, we propose a deceptive review detection algorithm based on the target product identification and the calculation of the Metapath feature weight, noted as TM-DRD. (...) The review dataset of target product is modeled as a heterogeneous review information network with the feature nodes. The classification method of graph is used to detect the deceptive reviews, which can improve the efficiency and accuracy of deceptive review detection due to the sparsity, imbalance of deceptive reviews, and the absence of category probability of feature weight calculation. The TM-DRD algorithm we proposed is validated on the real review dataset Yelp and compared with the SpEagle, NFC, and NetSpam algorithm. The experiment results demonstrate that the TM-DRD algorithm performs better than the other method with regard to the accuracy and efficiency. (shrink)

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