Ben shu hui ji le zhu zhe de wei rao 20 shi ji zi ran ke xue yan jiu zhong suo she ji"ke xue ben yuan"yi ji"ke xue fang fa lun"deng ji ben ming ti,Zhen dui jin xie nian fa sheng zai guo nei wai ke xue sheng huo zhong mou xie zhong da shi jian suo zuo de ruo gan fan si.

Following the recent call for advancement in knowledge about business ethics in East Asia, this study proposes a complementary perspective on business ethics in South Korea. We challenge the conventional view that South Korea is a strictly collectivist country, where group norms and low trust determine the norms and values of behavior. Using the concept of civil religion, we suggest that the center of the South Korean civil religion can be seen in the affective ties and networks pervading the economic, (...) political, and social institutions, embedded in and guided by Confucian ideals. We argue that South Korea should be seen not as a collectivist low-trust society, but rather as an affective-relational society, in which the relational context determines whether collectivism or individualism prevails. Further, we assert that trust, the cohesive factor of affective ties and networks, has until now been inadequately captured by conventional surveys. Our proposed perspective contributes to a more holistic picture and a more firmly grounded understanding of business ethics in South Korea. (shrink)

This article presents two studies that examine cause-related marketing promotions that require consumers’ active participation. Requiring a follow-up behavior has very valuable implications for maximizing marketing expenditures and customer relationship management. Theories related to ethical behavior, like motivated reasoning and defensive denial, are used to explain when and why consumers respond negatively to these effort demands. The first study finds that consumers rationalize not participating in CRM by devaluing the sponsored cause. The second study identifies a tactic marketers can utilize (...) to neutralize consumers’ use of defensive denial. Allowing the consumer to choose the sponsored cause seems to effectively refocus their attention and increases consumers’ threshold for campaign requirements. Implications for nonprofits and marketing managers include a tendency for consumers to be more likely to perceive a firm as ethical and socially responsible when they are allowed to choose the specific cause that is supported. (shrink)

In this study, we tested the feasibility of conducting quantitative assessments of patients’ experiences with care in the intensive care unit (ICU), in regard to treatment with respect and dignity. Patients completed the Patient Dignity Inventory, Collaborate, and selected domains from the Hospital Consumer Assessment of Health Providers and Systems Survey. Family members were additionally surveyed using the Family Satisfaction in ICU Care questionnaire. Overall, patients reported high levels of satisfaction in terms of nurses and doctors treating them with courtesy (...) and respect; however, physical aspects of care were reported to be more problematic. While this pilot study suggests some target areas for improving treatment with respect and dignity, the findings are limited since many patients were unable to participate in the survey. Future work should be directed at developing new measures that are easier to administer in this setting. (shrink)

: Feng Qi is widely acknowledged in mainland China as one of the few consummate and most original thinkers to have emerged there since 1949. The essence of Feng's thought is to provide a solution to the time-honored problem of the confrontation between fact and value, between a positivistic/ scientific approach and a humanistic/metaphysical approach. Feng tries to solve this conflict by constructing what he calls "epistemology in a broader sense," at the core of which is his theory of the (...) "transformation of knowledge into wisdom.". (shrink)

The stock market is a chaotic, complex, and dynamic financial market. The prediction of future stock prices is a concern and controversial research issue for researchers. More and more analysis and prediction methods are proposed by researchers. We proposed a hybrid method for the prediction of future stock prices using LSTM and ensemble EMD in this paper. We use comprehensive EMD to decompose the complex original stock price time series into several subsequences which are smoother, more regular and stable than (...) the original time series. Then, we use the LSTM method to train and predict each subsequence. Finally, we obtained the prediction values of the original stock price time series by fused the prediction values of several subsequences. In the experiment, we selected five data to fully test the performance of the method. The comparison results with the other four prediction methods show that the predicted values show higher accuracy. The hybrid prediction method we proposed is effective and accurate in future stock price prediction. Hence, the hybrid prediction method has practical application and reference value. (shrink)

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

As a part of user experience, user emotion has rarely been studied in mobile libraries. Specifically, with the proposed emotional model in combination with the Pleasure-Arousal-Dominance Emotion Model and the Five Factor Model, we evaluate user emotions on the mobile library’s three IS features. An experience procedure with three tasks has been designed to collect data. 50 participants were enrolled, and they were asked to fill in questionnaires right after the experience. The correlations among the PAD emotions were examined. Specifically, (...) users have a low perception of pleasure, high perception of arousal, and low perception of dominance. However, these three emotional states were not always significantly correlated with each other. This study extends mobile library research by focusing on users’ emotional experience. Specifically, the detailed PAD emotions have been examined. This study provides a new approach for application developers and managers to evaluate the user experience of an application. (shrink)

This paper studies the problems of tip position regulation and vibration suppression of flexible manipulators without using the model. Because of the two-timescale characteristics of flexible manipulators, applying the existing model-free control methods may lead to ill-conditioned numerical problems. In this paper, the dynamics of a flexible manipulator is decomposed into two subsystems which are linear and controllable at different timescales by singular perturbation theory and a model-free composite controller is designed to alleviate the ill-conditioned numerical problems. To do this, (...) a model-free composite control strategy is constructed which facilitates in designing the controller in slow and fast timescales. In the slow timescale, the slow subsystem controller is designed by adaptive dynamic programming based on the measurements of the slow inputs and the position, while the vibration in the slow timescale is estimated by the least square method. In the fast timescale, the vibration is reconstructed based on the measurements of vibration and its estimate in the slow timescale, by which the fast controller is designed using ADP. Stability of the closed-loop system is proved by SP theory. Finally, simulations are given to show the feasibility and effectiveness of the proposed methods. (shrink)

PurposeBased on social exchange theory, this study aimed to investigate, from the cost-benefits perspective, the intention to co-create open educational resources.Design/Methodology/ApproachParticipants in the study included 311 undergraduate students selected from those enrolled in a course on the China University MOOC platform. Regression analysis was conducted to examine cost and benefits factors that influenced participants’ intentions to co-create OER.Findings From the perspective of benefits, expected reciprocity, increase in knowledge self-efficacy, and creative self-efficacy were found to significantly and positively impact the intention (...) to co-create OER, while increase in internet self-efficacy was not. From the perspective of cost, perceived effort and perceived privacy were found to significantly and negatively impact the intention to co-create OER, while perceived intellectual property risks were not significant.Originality/ValueThree strategies are recommended to promote the intention to co-create OER based on the findings of this study: focusing on OER communities and developing reciprocity norms; popularizing and promoting knowledge and use of Creative Commons copyright licenses; providing easy-to-use online resource editing tools for use with OER repositories.Research Limitations/ImplicationsFuture research should explore other ages, cultural backgrounds, and types of online learning experience to help broaden the universality of the results. (shrink)

Objective: Pulmonary complications could badly affect the recovery of neurological function and neurological prognosis of neurological critically ill patients. This study evaluated the effect of high-flow nasal cannula therapy on decreasing pulmonary complications in neurologically critically ill patients.Patients and Methods: The patients admitted to the intensive care unit with serious neurological disease and receiving oxygen therapy were retrospectively reviewed. Patients were divided into the HFNC group and the conventional oxygen therapy group. We analyzed the data within these two groups, including (...) patients’ baseline data, short-term outcomes of respiratory complications, general outcomes including hospital stay, ICU stay and mortality, and neurological functions. To analyze the relevant factors, we performed multivariable logistic regression analysis.Results: A total of 283 patients met the criteria, including 164 cases in the HFNC group and 119 cases in the COT group. The HFNC group had remarkably less mechanical ventilation requirement with lower phlegm viscosity. Even more, ICU stay and total hospital stay were significantly shortened in the HNFC group.Conclusion: HFNC decreased pulmonary complications in neurologically critically ill patients and improved recovery of neurological function and neurological prognosis. (shrink)

In this paper, we mainly investigate the existence of states based on the Glivenko theorem in bounded semihoops, which are building blocks for the algebraic semantics for relevant fuzzy logics. First, we extend algebraic formulations of the Glivenko theorem to bounded semihoops and give some characterizations of Glivenko semihoops and regular semihoops. The category of regular semihoops is a reflective subcategory of the category of Glivenko semihoops. Moreover, by means of the negative translation term, we characterize the Glivenko variety. Then (...) we show that the regular semihoop of regular elements of a free algebra in the variety of Glivenko semihoops is free in the corresponding variety of regular semihoops. Similar results are derived for the semihoop of dense elements of free Glivenko semihoops. Finally, we give a purely algebraic method to check the existence of states on Glivenko semihoops. In particular, we prove that a bounded semihoop has Bosbach states if and only if it has a divisible filter, and a bounded semihoop has Riečan states if and only if it has a semi-divisible filter. (shrink)

Using a sample of 52 work teams in China, we investigated the influence mechanism of leaders' work engagement on their followers' work engagement and subjective career success. A multilevel structural equation model was applied to analyze the survey data. The results of this study indicated that leaders' work engagement positively influenced their followers' subjective career success, and this relationship was mediated by the followers' work engagement. Implications of these findings, limitations, and directions for future research are discussed in the final (...) section of the paper. (shrink)

Despite extinction-based processes demonstrating efficacy in the animal extinction and human anxiety literatures, extinction for substance use disorders has shown poor efficacy. Reasons for this lack of success include common threats to extinction, such as renewal and reinstatement. In recent decades, research on mindfulness for SUD has flourished, and a key aspect of these mindfulness-based interventions includes teaching individuals to stay present with whatever experience they have, even if unpleasant, without trying to change/escape/avoid it. Similarly, CET teaches individuals to not (...) escape/avoid conditioned responses by engaging in drug use behavior. This paper discusses how mindfulness-based research and practices could positively influence CET through future research, with the long-term goal of improving SUD treatment. (shrink)

In contemporary China, physicians tend to require more diagnostic work-ups and prescribe more expensive medications than are clearly medically indicated. These practices have been interpreted as defensive medicine in response to a rising threat of potential medical malpractice lawsuits. After outlining recent changes in Chinese malpractice law, this essay contends that the overuse of expensive diagnostic and therapeutic interventions cannot be attributed to malpractice concerns alone. These practice patterns are due as well, if not primarily, to the corruption of medical (...) decision-making by physicians being motivated to earn supplementary income, given the constraints of an ill-structured governmental policy by the over-use of expensive diagnostic and therapeutic interventions. To respond to these difficulties of Chinese health care policy, China will need not only to reform the particular policies that encourage these behaviors, but also to nurture a moral understanding that can place the pursuit of profit within the pursuit of virtue. This can be done by drawing on Confucian moral resources that integrate the pursuit of profit within an appreciation of benevolence. It is this Confucian moral account that can formulate a medical care policy suitable to China's contemporary market economy. (shrink)

In the realistic world, various individuals have distinct personalities, preferences, and attitudes toward new information and behavior acceptance, called population heterogeneity. It is seldom taken into account and theoretically analyzed in information propagation on a weighted network. Therefore, we divide individuals into fashionable and conservative individuals according to their passion degree and willingness for novel behaviors acceptance. Then, we build two behavior adoption threshold models corresponding to fashionable and conservative individuals on the weighted network to explore the effect of population (...) heterogeneity on information propagation. Next, a partition theory based on edge weight and population heterogeneity is proposed to qualitatively analyze the information propagation mechanism. The theoretical analyses and simulation results show that fashionable individuals promote information propagation and behavior adoption. More importantly, the crossover phenomena of phase transition appear. When the fraction of fashionable individuals is relatively large, the increasing pattern of the final adoption size shows a second-order continuous phase transition. In comparison, the increasing pattern alters to first-order discontinuous phase transition with the decrease of the fraction of fashionable individuals. Moreover, reducing weight distribution heterogeneity promotes information propagation and slightly accelerates the change of the phase transition pattern from the first-order discontinuous to the second-order continuous. Besides, increasing the degree distribution heterogeneity accelerates the change of the phase transition pattern. Finally, our theoretical analyses coincide well with the simulation results. (shrink)

A survey article about the ethical tradition in China.

Cardiovascular disease is a major complication of type 2 diabetes mellitus. In addition to traditional risk factors, psychological determinants play an important role in CVD risk. This study applied Deep Neural Network to develop a CVD risk prediction model and explored the bio-psycho-social contributors to the CVD risk among patients with T2DM. From 2017 to 2020, 834 patients with T2DM were recruited from the Department of Endocrinology, Affiliated Hospital of Harbin Medical University, China. In this cross-sectional study, the patients' bio-psycho-social (...) information was collected through clinical examinations and questionnaires. The dataset was randomly split into a 75% train set and a 25% test set. DNN was implemented at the best performance on the train set and applied on the test set. The receiver operating characteristic curve analysis was used to evaluate the model performance. Of participants, 272 were diagnosed with CVD. The developed ensemble model for CVD risk achieved an area under curve score of 0.91, accuracy of 87.50%, sensitivity of 88.06%, and specificity of 87.23%. Among patients with T2DM, the top five predictors in the CVD risk model were body mass index, anxiety, depression, total cholesterol, and systolic blood pressure. In summary, machine learning models can provide an automated identification mechanism for patients at CVD risk. Integrated treatment measures should be taken in health management, including clinical care, mental health improvement, and health behavior promotion. (shrink)

We experimentally investigate whether donation motive attribution influences individual investors' judgments of the donating firm's future earnings prospects and whether individual moral orientation, that is, perceived importance of social goodwill (PISG), moderates this effect. We find that investors forecast higher future earnings per share (EPS) when the donation motive is believed to be altruistic or win–win rather than egoistic; the EPS forecasts for altruistic and win–win motives are not different. However, this motive attribution effect holds only for higher-PISG investors. A (...) further examination finds that when the donation motive is believed to be egoistic and/or when investors have lower PISG, doing good is no better than doing nothing, but no backfire effect occurs. Our findings indicate that the positive effect of corporate donation on investors' judgments is generated only when higher-PISG investors believe that the donation motive is not purely egoistic; corporate donation will not generate negative effects on investors' judgments even under less favorable conditions. (shrink)

This paper presents an adaptive neural tracking control approach for a two-joint robotic manipulator with unknown time-varying delays. In order to work out the effect of unknown time-varying delays on the two-joint robotic manipulator, the appropriate Lyapunov–Krasovskii functionals and separation technology are chosen to settle this matter. The neural networks work as an approximator that has the advantage of estimating the unknown function in the system. In this paper, Lyapunov stability analysis can prove that all signals of the closed-loop system (...) are semiglobal uniformly ultimately bounded and the tracking error can converge to a compact neighborhood with respect to zero. The simulation consequences demonstrate the availability of the feedforward control approach. (shrink)

The brain-computer interface based on functional near-infrared spectroscopy has received more and more attention due to its vast application potential in emotion recognition. However, the relatively insufficient investigation of the feature extraction algorithms limits its use in practice. In this article, to improve the performance of fNIRS-based BCI, we proposed a method named R-CSP-E, which introduces EEG signals when computing fNIRS signals’ features based on transfer learning and ensemble learning theory. In detail, we used the Independent Component Analysis algorithm for (...) the correspondence between the sources of the two signals. We then introduced the EEG signals when computing the spatial filter based on a modified Common Spatial Pattern algorithm. Experimental results on public datasets show that the proposed method in this paper outperforms traditional methods without transfer. In general, the mean classification accuracy can be increased by up to 5%. To our knowledge, it is an innovation that we tried to apply transfer learning between EEG and fNIRS. Our study’s findings not only prove the potential of the transfer learning algorithm in cross-model brain-computer interface, but also offer a new and innovative perspective to research the hybrid brain-computer interface. (shrink)

In the presence of heterogeneity between the randomized controlled trial (RCT) participants and the target population, evaluating the treatment effect solely based on the RCT often leads to biased quantification of the real-world treatment effect. To address the problem of lack of generalizability for the treatment effect estimated by the RCT sample, we leverage observational studies with large samples that are representative of the target population. This article concerns evaluating treatment effects on survival outcomes for a target population and considers (...) a broad class of estimands that are functionals of treatment-specific survival functions, including differences in survival probability and restricted mean survival times. Motivated by two intuitive but distinct approaches, i.e., imputation based on survival outcome regression and weighting based on inverse probability of sampling, censoring, and treatment assignment, we propose a semiparametric estimator through the guidance of the efficient influence function. The proposed estimator is doubly robust in the sense that it is consistent for the target population estimands if either the survival model or the weighting model is correctly specified and is locally efficient when both are correct. In addition, as an alternative to parametric estimation, we employ the nonparametric method of sieves for flexible and robust estimation of the nuisance functions and show that the resulting estimator retains the root- n n consistency and efficiency, the so-called rate-double robustness. Simulation studies confirm the theoretical properties of the proposed estimator and show that it outperforms competitors. We apply the proposed method to estimate the effect of adjuvant chemotherapy on survival in patients with early-stage resected non-small cell lung cancer. (shrink)

The present study examined the effects of transcranial direct current stimulation using Halo Sport on the time to exhaustion in relation with muscle activities and corticomuscular coupling of agonist and antagonist muscles during a sustained isometric fatiguing contraction performed with the elbow flexors. Twenty healthy male college students were randomly assigned to tDCS group and control group. The two group participants performed two experimental sessions which consisted of pre-fatigue isometric maximal voluntary contraction, sustained submaximal voluntary contractions performed to exhaustion, and (...) post-fatigue MVC with the right elbow flexor muscles. Sham stimulation and tDCS were applied for control and tDCS group participants 20 min prior to the second session test, respectively. MVC strength in pre- and post-fatigue test, TTE, electroencephalogram, and electromyography of biceps brachii and triceps brachii were recorded during the tests. It was found that tDCS using the Halo Sport device significantly increased TTE and thus improved muscular endurance performance. The improvement may be partly related to the improvement of neuromuscular efficiency as reflected by decrease of antagonistic muscle coactivation activities, which may be related to cortical originated central processing mechanism of neuromuscular activities. (shrink)