In this study, we aimed to address three comments proposed by Ogihara on a recent study where we found that unique names in China have become increasingly popular from 1950 to 2009. Using a large representative sample of Chinese names, we replicated the increase in uniqueness of Chinese names from 1920 to 2005, especially since the 1970s, with multiple uniqueness indices based on name-character frequency and name-length deviation. Over the years, Chinese characters that are rare in daily life or naming (...) practice were more often used in given names, and the length of given names became more deviant from typical practice. Taken together, these findings not only reconfirmed the increasing prevalence of unique names but also demonstrated the validity of various indices in assessing name uniqueness in China. (shrink)

Lists of species underpin many fields of human endeavour, but there are currently no universally accepted principles for deciding which biological species should be accepted when there are alternative taxonomic treatments (and, by extension, which scientific names should be applied to those species). As improvements in information technology make it easier to communicate, access, and aggregate biodiversity information, there is a need for a framework that helps taxonomists and the users of taxonomy decide which taxa and names should be used (...) by society whilst continuing to encourage taxonomic research that leads to new species discoveries, new knowledge of species relationships, and the refinement of existing species concepts. Here, we present 10 principles that can underpin such a governance framework, namely (i) the species list must be based on science and free from nontaxonomic considerations and interference, (ii) governance of the species list must aim for community support and use, (iii) all decisions about list composition must be transparent, (iv) the governance of validated lists of species is separate from the governance of the names of taxa, (v) governance of lists of accepted species must not constrain academic freedom, (vi) the set of criteria considered sufficient to recognise species boundaries may appropriately vary between different taxonomic groups but should be consistent when possible, (vii) a global list must balance conflicting needs for currency and stability by having archived versions, (viii) contributors need appropriate recognition, (ix) list content should be traceable, and (x) a global listing process needs both to encompass global diversity and to accommodate local knowledge of that diversity. We conclude by outlining issues that must be resolved if such a system of taxonomic list governance and a unified list of accepted scientific names generated are to be universally adopted. (shrink)

As an imitation of the biological nervous systems, neural networks, which have been characterized as powerful learning tools, are employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system identification, and patterns recognition. This article aims to bring a brief review of the state-of-the-art NNs for the complex nonlinear systems by summarizing recent progress of NNs in both theory and practical applications. Specifically, this survey also reviews a number of NN based robot control algorithms, (...) including NN based manipulator control, NN based human-robot interaction, and NN based cognitive control. (shrink)

Dysregulation of lipid metabolism is a commonly observed feature associated with metabolic syndrome and leads to the development of negative health outcomes such as obesity, diabetes mellitus, non‐alcoholic fatty liver disease, or atherosclerosis. Time‐restricted feeding/eating (TRF/TRE), an emerging dietary intervention, has been shown to promote pleiotropic health benefits including the alteration of diurnal expression of genes associated with lipid metabolism, as well as levels of lipid species. Although TRF likely induces a response in multiple organs leading to the modulation of (...) lipid metabolism, a majority of the studies related to TRF effects on lipids have focused only on individual tissues, and furthermore there is a lack of insight into potential underlying mechanisms. In this review, we summarize the current insights regarding TRF effects on lipid metabolism and the potential mechanisms in adipose tissue, liver, skeletal muscle, and heart, and conclude by outlining possible avenues for future exploration. (shrink)

Based on the concept of “passengers self-help hubbing,” we build a flight schedule optimization model where maximizing the number of feasible flight connections, indicating transfer opportunities, as one objective and minimizing total slot displacements as the other objective. At the same time, the “Demand Smoothing Model” is introduced into the flight schedule optimization model to reduce the queuing delays for arrival and departure flights. We take into account all aircraft itineraries, the difficulty level of schedule coordination, and the maximum displacement (...) of any single flight acceptable to airlines when optimizing flight schedule. Given an original schedule, the model produces a feasible modified schedule that obeys the slot limits specified for an airport without canceling any flights, increases transfer opportunities, and improves on-time performance for hub airports while reducing interference with airline scheduling preferences. The model was verified with the operating data of the Urumqi international airport, and the results show that minor adjustments to flight schedules can increase the transfer opportunities of the airport and significantly reduce flight queuing delays. (shrink)

Understanding how teacher leaders are engaged in curriculum affairs is critical with the implementation of instructional decentralization. The current study adopts a qualitative approach to investigate Teaching Research Group leaders’ involvement in curriculum leadership in the Chinese context. It explores the conceptions of TRG leaders by interviewing 20 of them, observing four meetings held by TRG leaders, and collecting 10 extracts from appraisal summaries of TRG leaders in secondary schools in China. Drawing on the findings, this paper examines the characteristics (...) of TRG leader’s engagement in CL. More importantly, data highlighted significant problems the participants perceived and faced in their work as TRG leaders, which consisted of amplifying the necessity for empowering TRG leaders and identifying the phenomenon that said leaders are less empowered and less motivated to undertake the CL role. The results add to the international body of knowledge on the teachers’ engagement in CL. (shrink)

Extant studies of corporate hypocrisy have largely overlooked its implications for employees until recently. Drawing upon social information processing theory, we theorize the impact of corporate hypocrisy on employee silence—an employee behavior potentially detrimental to both organizations and society, as well as the underlying mediating and moderating mechanisms. We empirically tested our hypotheses with two studies. In Study 1, we found that corporate hypocrisy was positively related to employee silence through both employee cognitive trust and employee prosocial motivation. In Study (...) 2, we revealed that consumer pressure weakened the mediating roles of employee cognitive trust and prosocial motivation, while regulatory pressure strengthened these roles. Overall, this study sheds light on whether, how, and when employees remain silent when they perceive corporate hypocrisy. Implications for theory and practice are discussed. (shrink)

Cyberloafing is prevalent in the workplace and research has increasingly focused on its antecedents. This study aims to extend the cyberloafing literature from the perspective of perceived overqualification among civil servants. Drawing on equity theory, we examined the effect of POQ on cyberloafing, along with the mediating role of harmonious passion on the POQ–cyberloafing relationship and the moderating role of the need for achievement on strengthening the link between POQ and harmonious passion. Using time-lagged data from a sample of 318 (...) civil servants in China, we found that POQ was positively related to cyberloafing; harmonious passion mediated this relationship; the need for achievement moderated the effect of POQ on harmonious passion as well as the indirect effect of POQ on cyberloafing via harmonious passion. Based on the findings, we discussed theoretical and managerial implications and provided future research avenues. (shrink)

A nonlinear coupled wing model subject to unknown external disturbances is proposed in this paper. Since the model is modeled by partial differential equations, the traditional control design scheme based on the ordinary differential equation model is not applicable, and the control law design becomes very complex. In this paper, a new antidisturbance boundary control scheme based on a finite time convergent disturbance observer is proposed. The control laws are designed based on the new disturbance observers to make the external (...) disturbance errors converge to zero in a finite time and ensure the uniformly bounded stability of the controlled system. Finally, the effectiveness of the controllers and the finite-time convergence of disturbance errors are verified by the simulation and comparison. (shrink)

People’s comfort with and acceptability of artificial intelligence (AI) instantiations is a topic that has received little systematic study. This is surprising given the topic’s relevance to the design, deployment and even regulation of AI systems. To help fill in our knowledge base, we conducted mixed-methods analysis based on a survey of a representative sample of the US population (_N_ = 2254). Results show that there are two distinct social dimensions to comfort with AI: as a peer and as a (...) superior. For both dimensions, general and technological efficacy traits—locus of control, communication apprehension, robot phobia, and perceived technology competence—are strongly associated with acceptance of AI in various roles. Female and older respondents also were less comfortable with the idea of AI agents in various roles. A qualitative analysis of comments collected from respondents complemented our statistical approach. We conclude by exploring the implications of our research for AI acceptability in society. (shrink)

This study examines why and when negative workplace gossip promotes self-serving behaviors by the employees being targeted. Using conservation of resources theory, we find that targets tend to increase their political acts as a result of ego depletion triggered by negative gossip. We also show that sensitivity to interpersonal mistreatment and moral disengagement moderate this process. Specifically, we demonstrate that targets with high levels of sensitivity to interpersonal mistreatment are more likely to experience ego depletion, and that targets with high (...) levels of moral disengagement will find it easier to persuade themselves to engage in political acts. We conducted a three-wave time-lagged survey of 265 employees in Guangdong, China, to test our hypotheses. The results support our theoretical model and indicate that COR theory can be used to explain the impacts of negative workplace gossip. Alongside our important and timely theoretical contributions, we provide new perspectives on how managers can avoid or mitigate these political acts. (shrink)

Microgames are rapidly gaining increased attention and are highly being considered because of the technology-based media that enhances students’ learning interests and educational activities. Therefore, this study aims to develop a new construct through confirmatory factor analysis, to comprehensively understand the factors influencing the use of microgames in mathematics class. Participants of the study were the secondary school teachers in West Java, Indonesia, which had a 1-year training in microgames development. We applied a quantitative approach to collect the data via (...) online questionnaires through google form. Structural Equation Modelling with AMOS software was used to analyze the proposed model. Empirical results confirmed the perceived easy to use and subjective norm influence relationship with teachers’ microgame usage behaviors and intentions. In this condition, SN was found to have the initial significant influence on behavioral intention, as attitude, BI, and facilitating conditions also correlated with the actual use of microgames. Furthermore, the largest influential factor was BI, with the results subsequently showing that TPACK had no significant influence on the actual use of microgames. This report is expected to help bridge the gap across several previous studies, as well as contribute to the explanation and prediction of the factors influencing the teachers’ mathematical utilization of the study’s program. Besides this, it also helps to increase the use of microgames in teaching and learning activities. (shrink)

Greed is one of the most common features of human nature, and it has recently attracted increasing research interest. The aims of this paper are to provide one of the first empirical investigations of the effects of greed on job performance and to explore the mediating role of the need for social status and perceived distributive justice. Using a working sample (N = 315) from China, the current study found that greed promoted both task and contextual performance through the intermediary (...) effect of the need for social status. At the same time, greed inhibited both types of performance through perceived distributive justice. These results confirmed our hypothesis that greed is a double-edged sword with opposite effects on one’s performance. The findings suggest that organizations should both address greedy employees’ social status concerns and ensure that they are treated fairly so that organizations can fully utilize the talents of greedy people and channel their energy in a beneficial direction. (shrink)

Risky driving behavior is a major cause of traffic conflicts, which can develop into road traffic accidents, making the timely and accurate identification of such behavior essential to road safety. A platform was therefore established for analyzing the driving behavior of 20 professional drivers in field tests, in which overclose car following and lane departure were used as typical risky driving behaviors. Characterization parameters for identification were screened and used to determine threshold values and an appropriate time window for identification. (...) A neural network-Bayesian filter identification model was established and data samples were selected to identify risky driving behavior and evaluate the identification efficiency of the model. The results obtained indicated a successful identification rate of 83.6% when the neural network model was solely used to identify risky driving behavior, but this could be increased to 92.46% once corrected by the Bayesian filter. This has important theoretical and practical significance in relation to evaluating the efficiency of existing driver assist systems, as well as the development of future intelligent driving systems. (shrink)

ABSTRACTIn Western and non‐Western societies, it is a widely held belief that the concept of human rights is, by and large, a Western cultural norm, often at odds with non‐Western cultures and, therefore, not applicable in non‐Western societies. The Universal Draft Declaration on Bioethics and Human Rights reflects this deep‐rooted and popular assumption. By using Chinese culture as an illustration, this article points out the problems of this widespread misconception and stereotypical view of cultures and human rights. It highlights the (...) often ignored positive elements in Chinese cultures that promote and embody universal human values such as human dignity and human rights. It concludes, accordingly, with concrete suggestions on how to modify the Declaration. (shrink)

Since the late 1970s, American appraisals of Chinese medical ethics and Chinese responses to American bioethics range from frank criticism to warm appreciation, from refutation to acceptance. Yet in the United States as well as in China, American bioethics and Chinese medical ethics have been seen, respectively, as individualistic and communitarian. In this widely-accepted general comparison, the great variation in the two medical moralities, especially the diversity of Chinese experiences, has been unfortunately minimized, if not totally ignored. Neither American bioethics (...) nor Chinese medical ethics is a field with only one dominant way of thinking. Medical moralities in America and China--traditional and modern--have always been plural and diverse. For example, American and Chinese cultures and medical moralities both exhibit individualistic and communitarian traditions. For this reason, bioethics in general and cross-cultural bioethics in particular must be fundamentally interpretive. Interpretive cross-cultural bioethics appreciates the plurality of medical morality within any culture. It can serve as a vital means of social and cultural criticism through engaged interpretations. (shrink)

In Western and non-Western societies, it is a widely held belief that the concept of human rights is, by and large, a Western cultural norm, often at odds with non-Western cultures and, therefore, not applicable in non-Western societies. The Universal Draft Declaration on Bioethics and Human Rights reflects this deep-rooted and popular assumption. By using Chinese culture(s) as an illustration, this article points out the problems of this widespread misconception and stereotypical view of cultures and human rights. It highlights the (...) often ignored positive elements in Chinese cultures that promote and embody universal human values such as human dignity and human rights. It concludes, accordingly, with concrete suggestions on how to modify the Declaration. (shrink)

Background There is a high incidence of burns in China and the sequelae of post-burn scar growth, disfigurement, and other body image disorders can cause serious psychological distress to burns patients, and negatively affecting the patient’s dignity. However, there is limited knowledge relating to the dignity of burns patients. Aim To investigate the factors that affect dignity in burns patients. Design Cross-sectional study. Participants and research context We recruited 323 burn patients from the burn unit of a tertiary care hospital. (...) The Patient Dignity Scale, Burn Specific Health Scale-Brief, Hospital Anxiety and Depression Scale were used to assess burn patients’ dignity, quality of life, anxiety, and depression, respectively. 18 sociodemographic variables were included in the questionnaire. Ethical considerations Before the data were collected, the study protocol was reviewed and approved by the Ethics Committee of the Guangzhou Red Cross Hospital of Jinan University (Reference: 2022-149-02) and all patients provided and signed informed consent forms. Findings This study included 323 burns patients; of these, 26 (8%) had a mild loss of dignity, 94 (29.1%) had a moderate loss of dignity, 125 (38.7%) had a severe loss of dignity, and 78 (24.1%) had a very severe loss of dignity. The main factors that influence the loss of dignity in burns patients, including the department in which the patient was treated after their burns, gender, the clinical stage of the burn, quality-of-life, depression, resident medical insurance, the cause of the burn, and the burn site. Conclusions In most cases, the loss of dignity after burn injury is serious. Clinical health care professionals can provide personalized whole-life dignity care for patients by considering the factors that affect the dignity of burns patients, developing targeted dignity management programs, and implementing individualized interventions to maintain dignity, thus helping burns injury patients return to social life and work. (shrink)

One of the most efficient nondestructive methods for pipeline in-line inspection is magnetic flux leakage inspection. Estimating the size of the defect from MFL signal is one of the key problems of MFL inspection. As the inspection signal is usually contaminated by noise, sizing the defect is an ill-posed inverse problem, especially when sizing the depth as a complex shape. An actor-critic structure-based algorithm is proposed in this paper for sizing complex depth profiles. By learning with more information from the (...) depth profile without knowing the corresponding MFL signal, the algorithm proposed saves computational costs and is robust. A pinning strategy is embedded in the reconstruction process, which highly reduces the dimension of action space. The pinning actor-critic structure helps to make the reward for critic network more efficient when reconstructing the depth profiles with high degrees of freedom. A nonlinear FEM model is used to test the effectiveness of algorithm proposed under 20 dB noise. The results show that the algorithm reconstructs the depth profile of defects with good accuracy and is robust against noise. (shrink)

This research explores the harmful effects of negative workplace gossip (NWG) on targets and organizations, including its impacts on helping behavior and knowledge hiding. The mediating role of guanxi closeness and the moderating role of need for affiliation are also examined. The study, based on conservation of resources theory, collected data from 526 employees in the hospitality industry in China, using a three-wave survey design. Hierarchical multiple regression analysis was employed to test the hypotheses. The empirical results showed that NWG (...) was a strong predictor of reduced helping behavior and increased knowledge hiding; and that guanxi closeness mediated both the negative relationship between NWG and helping behavior, and the positive relationship between NWG and knowledge hiding. Additionally, need for affiliation was shown to act as a moderator between NWG and guanxi closeness: high need for affiliation amplified the negative impact of NWG on guanxi closeness, and then further affected employees’ helping behavior and knowledge hiding. This study therefore offers an important new perspective for interpreting the detrimental effects of negative gossip in organizations, providing not just theoretical advances but practical ways in which managers can proactively reduce these impacts. (shrink)

New Zealand is a multilingual and multicultural society, where English, Maori, and the New Zealand sign language are designated as its official languages. However, some heritage languages are also taught either within or outside the national education system. During the past decade, an increasing number of students have chosen Mandarin Chinese as an additional language because of its fast-growing importance. To date, studies regarding CAL are mainly based on the mainstream Chinese programs or online platforms, with less attention paid to (...) other types of teaching contexts where there also exist many potential challenges awaiting teachers. To fill in this gap, this study, based on a teaching program consisting of two families in New Zealand, explored the trajectories of a CAL teacher’s emotional labor for 47 weeks to understand how she managed her emotions when she taught the language as well as balanced the relationship among the three parties: the institution, the two families, and herself. Narrative inquiry was used as a methodological approach. The data involved written and spoken narratives. Using inductive and deductive thematic analysis, findings revealed her different understandings of the emotional labor in the two families, respectively, during the program. Further analysis of the data revealed some factors that impacted her emotional labor and how they impacted her teaching in a family-based context. We concluded our study with a discussion of the implications of these findings for teaching CAL in similar contexts. (shrink)

Social networks have become an important way for users to find friends and expand their social circle. Social networks can improve users’ experience by recommending more suitable friends to them. The key lies in improving the accuracy of link prediction, which is also the main research issue of this study. In the study of personality traits, some scholars have proved that personality can be used to predict users’ behavior in social networks. Based on these studies, this study aims to improve (...) the accuracy of link prediction in directed social networks. Considering the integration of personality link preference and asymmetric interaction into the link prediction model of social networks, a four-dimensional link prediction model is proposed. Through comparative experiments, it is proved that the four-dimensional social relationship prediction model proposed in this study is more accurate than the model only based on similarity. At the same time, it is also verified that the matching degree of personality link preference and asymmetric interaction intensity in the model can help improve the accuracy of link prediction. (shrink)

“Deathbots,” digital constructs that emulate the conversational patterns, demeanor, and knowledge of deceased individuals. Earlier moral discussions about deathbots centered on the dignity and autonomy of the deceased. This paper primarily examines the potential psychological and emotional dependencies that users might develop towards deathbots, considering approaches to prevent problematic dependence through temporary use. We adopt a hermeneutic method to argue that deathbots, as they currently exist, are unlikely to provide substantial comfort. Lacking the capacity to bear emotional burdens, they fall (...) short of meeting idealistic expectations. By repositioning deathbots, we aim to mitigate the risk of emotional dependency and respect the natural grieving process. Our goal is to propose the use of deathbots as a novel means of mourning through transitory use, rather than as a method to alleviate grief or as a patterns for communication with the deceased. (shrink)

Objective: The aim of the current study was to investigate the alterations in the neural networks of patients with temporal lobe epilepsy during working memory encoding.Methods: Patients with TLE and healthy volunteers completed a WM task, during which 34-channel electroencephalogram signals were recorded. The neural networks during WM encoding were calculated in TLE patients with and without WM deficits.Results: Functional connectivity strength decreased, and the theta network was altered in the TLE-WM group, although no significant differences in clinical features were (...) observed between the TLE-N and TLE-WM groups.Conclusions: Not all patients with TLE present with cognitive impairments and alterations in the theta network were identified in TLE patients with functional cognitive deficits.Significance: The theta network may represent a sensitive measure of cognitive impairment and could predict cognitive outcomes among patients with TLE. (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)

Emotion recognition plays an important part in human-computer interaction. Currently, the main challenge in electroencephalogram -based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose a two-level domain adaptation neural network to construct a transfer model for EEG-based emotion recognition. Specifically, deep features from the topological graph, which preserve topological information from EEG signals, are extracted using a deep neural network. These features are then passed through (...) TDANN for two-level domain confusion. The first level uses the maximum mean discrepancy to reduce the distribution discrepancy of deep features between source domain and target domain, and the second uses the domain adversarial neural network to force the deep features closer to their corresponding class centers. We evaluated the domain-transfer performance of the model on both our self-built data set and the public data set SEED. In the cross-day transfer experiment, the ability to accurately discriminate joy from other emotions was high: sadness, anger, and fear on the self-built data set. The accuracy reached 74.93% on the SEED data set. In the cross-subject transfer experiment, the ability to accurately discriminate joy from other emotions was equally high: sadness, anger, and fear on the self-built data set. The average accuracy reached 87.9% on the SEED data set, which was higher than WGAN-DA. The experimental results demonstrate that the proposed TDANN can effectively handle the domain transfer problem in EEG-based emotion recognition. (shrink)