Background The impetus for policies promoting medical data sharing in China has gained significant traction. Nonetheless, the present legal and ethical framework governing the research use of medical data in China, is characterized by a more restrictive rather than permissive approach. The proportion of Chinese medical data being leveraged for scientific research still has room for improvement at present, indicating a significant untapped potential for advancing medical knowledge and improving healthcare outcomes. Building upon this research, we aim to delve deeper (...) into the challenges researchers encounter in the sharing of medical data through focus group interviews. Methods We conducted two focus group interviews study with researchers representing diverse disciplines to explore their perspectives on 21 June 2021 and 28 July 2021. A total of seventeen researchers willingly participated in this study, representing various professional backgrounds. Similar codes were merged. Research team discussions were also utilized to select interviewees’ statements that were regarded as typical or representative. Results The respondents demonstrated a strong understanding that medical data should not be disseminated arbitrarily, recognizing the importance of sharing data in compliance with laws. Through the interview, we found that although respondents stressed the importance of careful consideration regarding if and when this information can be responsibly released, none of the respondents raised the issue of necessitating consent from data subjects for the research use of medical data. This observation sharply contrasts with the stringent separate consent provisions for secondary data use outlined in the PIPL. Conclusions The findings from the focus group studies shed light on researchers’ barriers and ethical challenges towards medical data sharing for scientific research, highlighting their deep concern for data security and cautious approach to sharing. The key objectives aimed at facilitating and enabling the reuse of medical data encompass enhancing interoperability, harmonizing data standards, improving data quality, safeguarding privacy, ensuring informed consent, incentivizing patients, and establishing explicit regulations pertaining to data access and utilization. (shrink)

Through the analysis of emotional tendency in online public opinion, governments and enterprises can stabilize people’s emotion more effectively and maintain social stability. The problem studied in this paper is how to analyze the emotional tendency of online public opinion efficiently, and finally, this paper chooses deep learning algorithm to perform fast analysis of emotional tendency of online public opinion. This paper briefly introduced the structure of the basic model used for emotional tendency analysis of online public opinion and the (...) convolutional neural network model used for text emotion classification. Then, the CNN model was improved by long short-term memory. A simulation experiment was carried out on MATLAB for the improved text emotion classification model to verify the influence of activation function type on the improved model and the performance difference between the improved model and support vector machine and traditional CNN models. The results showed that the improved classification model that adopted the sigmoid activation function had higher accuracy and was less affected by language than the relu and tanh activation functions; the improved classification model had the highest accuracy, recall rate, and F-value in classifying emotional tendency of web texts, followed by the traditional CNN model and the SVM model. (shrink)

Dual innovation, which includes exploratory innovation and exploitative innovation, is crucial for firms to obtain a sustainable competitive advantage. The knowledge base of firms greatly influences or even determines the scope, direction, and path of their dual-innovation activities, which drive their innovation process and produce different innovation performances. This study uses data source patents obtained by 285 focal firms in the Chinese new-energy vehicle industry in the period 2015–2020. Five knowledge-base features are selected by analyzing the correlation and multicollinearity, and (...) four different firm clusters are found by using the k-means clustering algorithm. Based on the classification and regression tree algorithm, we mine the potential decision rules governing the dual-innovation performance of firms. The results show that the exploratory innovation performance of firms in different clusters is mainly affected by two different knowledge-base features. Knowledge-base scale is a key factor affecting the exploitative innovation performance of firms. Firms in different clusters can improve their dual-innovation performance by rationally tuning the combination of knowledge-base features. (shrink)

Background: Losing one’s only child may lead to post-traumatic stress disorder, of which re-experiencing is the core symptom. However, neuroimaging studies of sex differences in re-experiencing in the context of the trauma of losing one’s only child and PTSD are scarce; comparisons of the functional networks from the hippocampal subfields to the thalamus might clarify the neural basis.Methods: Thirty couples without any psychiatric disorder who lost their only child, 55 patients with PTSD, and 50 normal controls underwent resting-state functional magnetic (...) resonance imaging. The functional connectivity from the hippocampal subregions to the thalamus and the correlations of FC with re-experiencing symptoms were analyzed within and between the sexes.Results: Compared with husbands without PTSD, wives without PTSD had higher re-experiencing symptoms and weaker FC between the right hippocampal cornu ammonis 3 and the right thalamus. Moreover, only the correlation between the RCA3-RT FC and re-experiencing in wives without PTSD was significant. Among the three groups, only the RCA3-RT FC in female subjects was markedly different. Additionally, the RCA3-RT FC in wives without PTSD was remarkably lower relative to female patients with PTSD.Conclusion: Wives without PTSD who lost their only child had worse re-experiencing symptoms relative to their husbands, which was associated with the FC alteration between the hippocampal subregions and the thalamus. Importantly, the low level of the RCA3-RT FC may play a potentially protective role against the development of PTSD in wives who have lost their only child. (shrink)

Capitalist reforms usually drive outmigration of peasants to cities, while elders, children, and women responsible for their care are “left behind” in the countryside. The plight of these “left behind” populations is a major focus of recent agrarian studies in China. However, rural women are not merely passive victims of these transformations. Building on ethnographic research in Guangxi and Henan provinces from 2013 to 2017, and drawing on critical gender studies and feminist political ecology, I show how the food safety (...) crisis in China creates conditions for peasant women to increase control and income from organic food production, often establishing alternative food networks with the support of female scholars and NGO organizers. Thus, I shift focus of scholarship on rural women from “left behind” to leaders in struggles for justice and food sovereignty. (shrink)

A set of sentential revision operations can be generated in a select-direct way within a new framework for belief change named descriptor revision firstly introduced in Hansson [8]. In this paper, we adopt another constructive approach to these operations, based on a relation \ on sentences named believability relation. Intuitively, \ means that the subject is at least as prone to believe or accept \ as to believe or accept \. We demonstrate that so called H-believability relations and basic believability (...) relations, the second of which the is axiomatically characterized with a set of weak postulates, are faithful alternative models for two typical select-direct sentential revision operations. Then we investigate additional postulates on believability relations that correlate with properties of the generated revision operations. Finally, we show that traditional AGM revision operations can be reconstructed from a strengthened variant of the basic believability relation and there is a close connection between this relation and the standard epistemic entrenchment relation. (shrink)

We present a theoretical rationale and supporting studies revealing how unethical leader behavior fosters an unethical climate within workgroups that increases member turnover intentions and malfeasance. Drawing on the attraction–selection–attrition model of organizational behavior, we propose a selective attrition effect whereby unethical leader behavior results in the retention of group members who are more comfortable with dishonesty and, consequently, more likely to engage in unethical behavior toward their group. In two experiments, exposure to unethical leader behavior increased group members’ likelihood (...) of choosing to leave the group. Members who chose to remain in a group with an unethical leader were more likely than those who chose to leave to cheat their group in a subsequent task. A two time-period survey replicated these findings and identified psychological distress as the mechanism driving group members’ turnover intentions. This research extends our understanding of the complex relationships between unethical leadership and follower turnover intentions, psychological distress, and malfeasance. We contribute to the behavioral ethics literature by identifying a previously underappreciated form of selective attrition that produces internal costs to groups and organizations, independent of reputational consequences and whether the unethicality is publicized. (shrink)

This book is a study of twelve major Confucian philosophical concepts and related issues. These are dynamic harmony (he和), care-centered virtue(ren仁), ritual propriety(li禮), filial care (xiao孝), differentiated gender equilibrium (bie别), friendship (you友), longevity (shou壽), sagehood (sheng聖), equality (qi齊), freedom (ziyou自由), politics (zheng政), and education (jiao教). Each chapter presents something new: a novel interpretation from a fresh angle, an insight that has been neglected in scholarship, or a reformed idea that connects tradition with modern sensibilities. Collectively they serve as a general (...) introduction to progressive Confucian philosophy in the twenty-first century. To facilitate classroom use, each chapter concludes with a set of study questions to assist students to comprehend key points and to develop their own views. (shrink)

BackgroundThe COVID-19 pandemic called for a new ethical climate in the designated hospitals and imposed challenges on care quality for anti-pandemic nurses. Less was known about whether hospital ethical climate and nurses’ ethical sensitivity were associated with care quality. This study examined the association between the perceived hospital ethical climate and self-evaluated quality of care for COVID-19 patients among anti-pandemic nurses, and explored the mediating role of ethical sensitivity in this relationship.MethodsA cross-sectional study was conducted through an online survey. A (...) total of 399 anti-pandemic nurses from ten designated hospitals in three provinces of China were recruited to fill out an online survey. Multiple linear regression analysis and a bootstrap test were used to examine the relationships between ethical climate, ethical sensitivity and care quality.ResultsNurses reported mean scores of 4.43 ± 0.577 (out of 5) for hospital ethical climate, 45.00 ± 7.085 (out of 54) for ethical sensitivity, and 5.35 ± 0.661 (out of 6) for self-evaluated care quality. After controlling for covariates, perceived hospital ethical climate was positively associated with self-evaluated care quality (direct effect = 0.710, 95% confidence interval [CI] 0.628, 0.792), and was partly mediated by ethical sensitivity (indirect effect = 0.078, 95% confidence interval [CI] 0.002, 0.145).ConclusionsChinese nurses who cared for COVID-19 patients perceived high levels of hospital ethical climate, ethical sensitivity, and self-evaluated care quality. Positive perceptions of hospital ethical climate were both directly associated with a higher level of self-evaluated care quality and indirectly associated, through the mediation effect of ethical sensitivity among anti-pandemic nurses. (shrink)

The present paper provides a critical edition of basic verses of Madhyamakāvatāra chapter 6. The verses are extracted from the Sanskrit manuscript of the Madhyamakāvatārabhāṣya preserved at Potala Palace. The Madhyamakāvatāra is one of Candrakīrti’s major works and clearly establishes his own doctrinal position. Chapter 6 contains most important doctrinal discussions of the work.

Previous studies argue that religious firms are more ethical and thus engage less in accrual earnings management. At odds with the ethical view, we use a sample of Chinese listed firms and show that firms in religious regions use more real earnings management. We postulate that besides ethics, religion also proxies for risk aversion, which motivates firms to substitute accrual earnings management with real earnings management. Consistent with this view, we show that the positive association between religiosity and real earnings (...) management is more pronounced for firms with lower litigation risk and for firms with less reputable auditors. In addition, we use a mediation model introduced by Baron and Kenny :1173–1182, 1986) to show that religiosity affects earnings management through the channel of risk aversion. We conclude that firms choose real earnings management over accrual-based earnings management because of risk aversion, rather than ethical reasons. (shrink)

The paper attends to the increasingly heated debate on the local, the global versus the glocal approaches in transcultural brand communication with an examination of how Disneyland performs emotional branding on social media across US to Hong Kong and Shanghai. Integrating insights from brand communication with linguistics, the present study develops a framework to examine how Disneyland builds emotional attachment of the public to the brand via brand personality appeals and use of interactional features. It is found that on a (...) global-local continuum, brand personality traits exhibit strong globalization propensity whereas interactional features demonstrate strong localization tendency in Hong Kong and Shanghai. Variations also exist in the means of emotional branding between Hong Kong and Shanghai. Finally, the paper provides an account for the differences between Hong Kong and Shanghai and concludes that neither the local approach nor the global approach but the glocal approach can tackle the challenge of transcultural brand communication and that future studies in this area should be oriented further to uncovering the global-local nexus in the process. (shrink)

This study takes the mountainous villages in central Shandong as the research object, which becomes the entry point for studying the concepts of cultural landscape and revitalization. This study examines some villages with special cultural landscapes due to their unique physical space. Later, due to industrialization, they suffered a cultural crisis and then revitalized after restoration, and then reused it to generate value. It explores the interdependent relationship between the natural environment, people, and society in the mountainous area, including the (...) spatial production and value reuse of the village cultural landscape. Through this study, not only the theoretical connotation of concepts such as cultural landscape and spatial production is enriched, but also the intrinsic connection between the characteristics of village cultural landscape and revitalization is revealed. At the same time, the study also proposed new knowledge about value reuse and revitalization, that is, things in the past can not only retain their old value in the present but also generate new value. This study will further enrich the content of the theoretical research on cultural landscape and revitalization and help to understand the revitalized villages worldwide. (shrink)

Choice revision is a sort of non-prioritized multiple revision, in which the agent partially accepts the new information represented by a set of sentences. We investigate the construction of choice revision based on a new approach to belief change called descriptor revision. We prove that each of two variants of choice revision based on such construction is axiomatically characterized with a set of plausible postulates, assuming that the object language is finite. Furthermore, we introduce an alternative modelling for choice revision, (...) which is based on a type of relation on sets of sentences, named multiple believability relation. We show without assuming a finite language that choice revision constructed from such relations is axiomatically characterized with the same sets of postulates that we proposed for the choice revision based on descriptor revision, whenever the relations satisfy certain rationality conditions. (shrink)

As professional football stadiums continue to grow in popularity worldwide, fans are able to watch the game in closer proximity, but the design of professional football stadiums to shorten the distance between fans and the playing field also exacerbates the impact of the home advantage on the referee’s decision to call a penalty. Studies have confirmed the existence of the home advantage and found that experienced referees can reduce the impact of this interference, but the neural mechanisms behind this phenomenon (...) have not been adequately investigated. In this study, we designed a soccer referee decision making task based on a home field effect scenario in a real soccer game, and used event-related potentials to compare the decision making and EEG differences between individuals with different experience levels when faced with foul actions under spectator noise interference. The experiments showed that individuals with different experience levels triggered a significant ERN EEG component when performing the penalty decision task under the home field effect factor, suggesting that the interference of the home field effect may lead referees to correct their previous decision-making behavior patterns in the penalty decision and reduce unfavorable calls against the home team. In contrast, referees with officiating experience elicited smaller ERN amplitudes compared to other subjects, suggesting that experience factors may inhibit this tendency to change behavioral patterns. This study suggests that in response to the increasing trend of professional football stadiums, policy makers should place more emphasis on enhancing the experience level of referees in the training of referees to ensure the fairness of the game. (shrink)

Lithium-ion batteries have been widely used as energy storage systems and in electric vehicles due to their desirable balance of both energy and power densities as well as continual falling price. Accurate estimation of the state-of-charge of a battery pack is important in managing the health and safety of battery packs. This paper proposes a compact radial basis function neural model to estimate the state-of-charge of lithium battery packs. Firstly, a suitable input set strongly correlated with the package SOC is (...) identified from directly measured voltage, current, and temperature signals by a fast recursive algorithm. Secondly, a RBF neural model for battery pack SOC estimation is constructed using the FRA strategy to prune redundant hidden layer neurons. Then, the particle swarm optimization algorithm is used to optimize the kernel parameters. Finally, a conventional RBF neural network model, an improved RBF neural model using the two stage method, and a least squares support vector machine model are also used to estimate the battery SOC as a comparative study. Simulation results show that generalization error of SOC estimation using the novel RBF neural network model is less than half of that using other methods. Furthermore, the model training time is much less than the LSSVM method and the improved RBF neural model using the two-stage method. (shrink)

Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic congestion and vice versa. The occurrence of traffic accidents usually leads to the reduction of road traffic capacity and the formation of traffic bottlenecks, causing the traffic congestion. In this paper, the formation and propagation of traffic congestion are simulated by using the improved medium (...) traffic model, and the control strategy of congestion dissipation is studied. From the point of view of quantitative traffic congestion, the paper provides the fact that the simulation platform of urban traffic integration is constructed, and a feasible data analysis, learning, and parameter calibration method based on RBF neural network is proposed, which is used to determine the corresponding decision support system. The simulation results prove that the control strategy proposed in this paper is effective and feasible. According to the temporal and spatial evolution of the paper, we can see that the network has been improved on the whole. (shrink)

We discuss a simple logic to describe one of our favourite games from childhood, hide and seek, and show how a simple addition of an equality constant to describe the winning condition of the seeker makes our logic undecidable. There are certain decidable fragments of first-order logic which behave in a similar fashion and we add a new modal variant to that class of logics. We also discuss the relative expressive power of the proposed logic in comparison to the standard (...) modal counterparts. (shrink)

This book explores and elaborates three theories of public reason, drawn from Rawlsian political liberalism, natural law theory, and Confucianism. Drawing together academics from these separate approaches, the volume explores how the three theories critique each other, as well as how each one brings its theoretical arsenal to bear on the urgent contemporary debate of medical assistance in dying. The volume is structured in two parts: an exploration of the three traditions, followed by an in-depth overview of the conceptual and (...) historical background. In Part I, the three comprehensive opening chapters are supplemented by six dynamic chapters in dialogue with each other, each author responding to the other two traditions, and subsequently reflecting on the possible deficiencies of their own theories. The chapters in Part II cover a broad range of subjects, from an overview of the history of bioethics to the nature of autonomy and its status as a moral and political value. In its entirety, the volume provides a vibrant and exemplary collaborative resource to scholars interested in the role of public reason and its relevance in bioethical debate. (shrink)

Every word signifies multiple senses. Many studies using comprehension-based measures suggest that polysemes’ senses share lexical representations, whereas homophones’ meanings correspond to distinct lexical representations. Less is known about the lexical representations of polysemes compared to homophones in language production. In this study, speakers named pictures after reading sentence fragments that primed polysemes and homophones either as direct competitors to pictures, or as indirect-competitors to pictures. Polysemes elicited equal numbers of intrusions to picture names compared to in control conditions whether (...) primed as direct competitors or as indirect-competitors. This contrasted with the finding that homophones elicited more intrusions to picture names compared to in control conditions when primed as direct competitors than when primed as indirect-competitors. These results suggest that polysemes, unlike homophones, are stored and retrieved as unified lexical representations. (shrink)

Affect plays an important role in the consumer decision-making process and there is growing interest in the development of new technologies and computational approaches that can interpret and recognize the affects of consumers, with benefits for marketing described in relation to both academia and industry. From an interdisciplinary perspective, this paper aims to review past studies focused on electroencephalography (EEG)-based affective computing (AC) in marketing, which provides a promising avenue for studying the mechanisms underlying affective states and developing recognition computational (...) models to predict the psychological responses of customers. This review offers an introduction to EEG technology and an overview of EEG-based AC; provides a snapshot of the current state of the literature. It briefly presents the themes, challenges, and trends in studies of affect evaluation, recognition, and classification; and further proposes potential guidelines for researchers and marketers. (shrink)

We give a survey of the study of nonstandard models in recursion theory and reverse mathematics. We discuss the key notions and techniques in effective computability in nonstandard models. and their applications to problems concerning combinatorial principles in subsystems of second order arithmetic. Particular attention is given to principles related to Ramsey's Theorem for Pairs.

In this paper, we study the estimation of motion direction prediction for fast motion and propose a threshold-based human target detection algorithm using motion vectors and other data as human target feature information. The motion vectors are partitioned into regions by normalization to form a motion vector field, which is then preprocessed, and then the human body target is detected through its motion vector region block-temporal correlation to detect the human body motion target. The experimental results show that the algorithm (...) is effective in detecting human motion targets in videos with the camera relatively stationary. The algorithm predicts the human body position in the reference frame of the current frame in the video by forward mapping the motion vector of the current frame, then uses the motion vector direction angle histogram as a matching feature, and combines it with a region matching strategy to track the human body target in the predicted region, thus realizing the human body target tracking effect. The algorithm is experimentally proven to effectively track human motion targets in videos with relatively static backgrounds. To address the problem of sample diversity and lack of quantity in a multitarget tracking environment, a generative model based on the conditional variational self-encoder conditional generation of adversarial networks is proposed, and the performance of the generative model is verified using pedestrian reidentification and other datasets, and the experimental results show that the method can take advantage of the advantages of both models to improve the quality of the generated results. (shrink)

Based on the assumption that the long-term value of a venture capital satisfies the algebraic Brownian motion, we develop a continuous-time exit model of venture capital under different exit modes, namely, initial public offering and mergers and acquisitions. The employee incentive problem is analyzed jointly with the exit decision of the firm in terms of the exit timing and the exit mode. Further, the problem of capital exit is considered from two perspectives, namely, optimal venture capital and social welfare maximization, (...) and the differences between these exit decisions are compared. Our model predicts that the timing of an IPO, the purpose of which is to maximize the utility of the capitalists, lags behind the exit timing, whose purpose is to maximize social welfare. Using a numerical analysis, this paper also proves that increasing the production efficiency, lowering the interest rates, and improving risk management can make the exit decision of venture capitalists converge with that of maximizing social welfare. (shrink)

There is a high need for cognition on earthquake risk to improve the public’s risk knowledge and risk awareness, so that they can make right decisions and take quick actions regarding mitigation measures and adjustments. In this study, search engine query data from the Baidu Index were extracted to reveal the information search behaviors of the Chinese public regarding the earthquake risk from 2010 to 2012. The data were also analyzed to discuss the characteristics of need for cognition on a (...) nationwide scale and over the long term. The results showed that graphic representations of need for cognition adhere to a “half-peak pattern” before and after earthquake events and dimensions in psychological distance theory, such as temporal distance, spatial distance, and social distance influence the need for cognition on earthquake risk that was the time and spatial discount effect. The implications for theory and practice regarding risk communication and management are discussed and concluded. (shrink)

While largely agreeing with Ruiping Fan, Chenyang Li makes three points regarding the handling of COVID-19. First, in addition to state capacity, social trust, and leadership, as identified by Francis Fukuyama, factors responsible for successful pandemic responses include the value of individual freedom upheld by citizens. A high level of individual freedom can make it difficult to implement strict measures even when they are objectively necessary. Second, a strong state can be effective in handling a pandemic, but without checks and (...) balances it also runs the risk of leading a country into a major catastrophe. Third, Confucian ethics and other ethics can aid in coping with the pandemic. However, their efficacy is not unlimited, and ultimately, human survival overrides other concerns. (shrink)

The complexity of today’s organizational environment increasingly requires leaders to think in a dynamic and flexible way to resolve contradictory issues. This study explored and compared the effects of servant leadership and authoritarian leadership on employees’ work behavior from the perspectives of ambidextrous leadership theory and social exchange theory, and further examined the mediating role of psychological empowerment. In this study, 315 employees from state-owned communication companies in Shandong and Zhejiang Provinces in China were selected as subjects, and path analysis (...) was used to test the hypotheses. The results showed that servant leadership positively predicted organizational citizenship behavior and task performance. While authoritarian leadership negatively predicted organizational citizenship behavior and positively predicted task performance, psychological empowerment mediated the relationship between the two leadership styles and organizational citizenship behavior and task performance. Moreover, psychological empowerment and organizational citizenship behavior played a multiple mediating role between the two leadership styles and task performance. The theoretical implications of these findings for advancing the ambidextrous leadership theory in Chinese organizational contexts and practical approaches for corporate managers to effectively use ambidextrous leadership style were discussed. (shrink)

In this paper, the single-machine scheduling problem is studied by simultaneously considering due-date assignment and group technology. The objective is to determine the optimal sequence of groups and jobs within groups and optimal due-date assignment to minimize the weighted sum of the absolute value in lateness and due-date assignment cost, where the weights are position dependent. For the common due-date assignment, slack due-date assignment, and different due-date assignment, an O n log n time algorithm is proposed, respectively, to solve the (...) problem, where n is the number of jobs. (shrink)