The work environment of employees has been greatly affected by the COVID-19 pandemic, and many limitations and risks can be seen until now. In addition to employees in firms, the faculty in colleges and universities also suffer from pressure and face challenges. For the purpose of performance assessment and promotion, the faculty not only needs to teach students, but also assumes the time pressure from academic research. This study discusses the process in which the faculty’s subjective well-being is affected, in (...) an effort to learn about the job demands of the faculty under the work environment with a high level of time pressure, and the effect of these time-related job demands on their psychological health. In this study, 347 valid questionnaires were collected from universities in coastal areas of the Chinese mainland. The results show that time-related job demands have a positive impact on time pressure; time pressure has a negative impact on subjective well-being; and time-related self-efficacy can significantly mediate the relationship among time-related job demands, time pressure, and subjective well-being. On this basis, this study proposes its theoretical and practical implications. (shrink)

Features and relevant services of online social media have been attracting users during the COVID-19 pandemic. Previous studies have shown that college students tend to use social media more frequently than other groups. However, in being affected by social media overload, the social media use behaviors of many college students have been out of their control in terms of their capabilities or cognition. Based on the stressor–strain–outcome model and the theory of compensatory internet use, we developed a research model to (...) study the causes of social media overload and its impact on college students’ academic performance during the COVID-19 pandemic. A total of 441 valid responses from college students through questionnaires in China are collected via purposive sampling and used in the data analysis. This study conducts PLS-SEM to analyze collected data, finding that boredom proneness is associated with overload, which has a bearing on social media overload and the reduction in final performance. Through illustrating the psychological and behavioral conditions that hinder the academic performance of students, this study provides deeper insights into students’ uncontrollable use of social media. Moreover, with respect to the identified antecedents, this study aims to find solutions to mitigate the impact of social media overload resulting from boredom proneness on the academic performance of college students. (shrink)

Poverty alleviation by consumption is a powerful way to help the poor people get rid of poverty, which plays a significant role in China's rural revitalization. However, the achievement of poverty alleviation by consumption mostly depends on government procurement, and the enthusiasm of customers to participate is low, facing the severe challenge of poor sustainability. Helping the poor is the most common motivation for customers to buy poverty-alleviation agricultural products. However, as the negative events of poverty alleviation such as “tragic (...) marketing” constantly appear in news reports, customers' trust in sellers has been seriously damaged. The psychological protection system for fear of being cheated hinders customers' purchase intention. Therefore, we believed that trust is an important factor in enhancing customers' purchase intention of PAAP. Customers buy PAAP mainly through online channels, and institution-based trust is the most important way to generate trust in online channels. Thus, this study investigated the institutional mechanisms that affect customers' trust in the sellers of PAAP and discussed the influence of trust on the online purchase intention of PAAP. Data were obtained through a questionnaire survey and tested empirically. The results showed that the effectiveness of the user feedback mechanism, platform supervision mechanism, product traceability mechanism, and product certification mechanism can enhance customers' purchase intention by enhancing their trust. Individual trust tendency positively regulated the relationship between the effectiveness of institutional mechanisms and consumer trust. The conclusion can not only provide new theoretical guidance for the practice of poverty alleviation by consumption in China but also offer new ideas for the poverty alleviation undertakings in other countries. (shrink)

This paper aims to propose an improved learning algorithm for feature selection, termed as binary superior tracking artificial bee colony with dynamic Cauchy mutation. To enhance exploitation capacity, a binary learning strategy is proposed to enable each bee to learn from the superior individuals in each dimension. A dynamic Cauchy mutation is introduced to diversify the population distribution. Ten datasets from UCI repository are adopted as test problems, and the average results of cross-validation of BSTABC-DCM are compared with other seven (...) popular swarm intelligence metaheuristics. Experimental results demonstrate that BSTABC-DCM could obtain the optimal classification accuracy and select the best representative features for the UCI problems. (shrink)

本书由《孔子本纪》和《孔子百问》两部分组成,分别介绍了孔子的生平,并以问答形式介绍了孔子其人其书,以及对孔子研究的概况。.

本书根据《左传》的编年,并从司马迁的《孔子世家》中,寻找孔子的踪迹,又从历代学者的《论语》注本中,对孔子的语录进行了编年的研究,并将其纳入到孔子的生平传记中去,以求尽可能给读者还原一个真实的孔子.

For unmanned aerial vehicle, object detection at different scales is an important component for the visual recognition. Recent advances in convolutional neural networks have demonstrated that attention mechanism remarkably enhances multiscale representation of CNNs. However, most existing multiscale feature representation methods simply employ several attention blocks in the attention mechanism to adaptively recalibrate the feature response, which overlooks the context information at a multiscale level. To solve this problem, a multiscale feature filtering network is proposed in this paper for image (...) recognition system in the UAV. A novel building block, namely, multiscale feature filtering module, is proposed for ResNet-like backbones and it allows feature-selective learning for multiscale context information across multiparallel branches. These branches employ multiple atrous convolutions at different scales, respectively, and further adaptively generate channel-wise feature responses by emphasizing channel-wise dependencies. Experimental results on CIFAR100 and Tiny ImageNet datasets reflect that the MFFNet achieves very competitive results in comparison with previous baseline models. Further ablation experiments verify that the MFFNet can achieve consistent performance gains in image classification and object detection tasks. (shrink)

A fundamental aspect of human cognition is the ability to parse our constantly unfolding experience into meaningful representations of dynamic events and to communicate about these events with others. How do we communicate about events we have experienced? Influential theories of language production assume that the formulation and articulation of a linguistic message is preceded by preverbal apprehension that captures core aspects of the event. Yet the nature of these preverbal event representations and the way they are mapped onto language (...) are currently not well understood. Here, we review recent evidence on the link between event conceptualization and language, focusing on two core aspects of event representation: event roles and event boundaries. Empirical evidence in both domains shows that the cognitive representation of events aligns with the way these aspects of events are encoded in language, providing support for the presence of deep homologies between linguistic and cognitive event structure. (shrink)

Short-term traffic flow prediction is an effective means for intelligent transportation system to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making short-term traffic flow prediction a challenging issue. However, the existing models do not consider the influence of weather changes on traffic flow, leading to poor performance under some extreme conditions. In view of the rich features of traffic data and the characteristic of being vulnerable to external weather conditions, (...) the prediction model based on traffic data has certain limitations, so it is necessary to conduct research studies on traffic flow prediction driven by both the traffic data and weather data. This paper proposes a combined framework of stacked autoencoder and radial basis function neural network to predict traffic flow, which can effectively capture the temporal correlation and periodicity of traffic flow data and disturbance of weather factors. Firstly, SAE is used to process the traffic flow data in multiple time slices to acquire a preliminary prediction. Then, RBF is used to capture the relation between weather disturbance and periodicity of traffic flow so as to gain another prediction. Finally, another RBF is used for the fusion of the above two predictions on decision level, obtaining a reconstructed prediction with higher accuracy. The effectiveness and robustness of the proposed model are verified by experiments. (shrink)

One of the fundamental properties inclassical equational reasoning isLeibniz's principle of substitution. Unfortunately, this propertydoes not hold instandard epistemic logic. Furthermore,Herbrand's lifting theorem which isessential to thecompleteness ofresolution andParamodulation in theclassical first order logic (FOL), turns out to be invalid in standard epistemic logic. In particular, unlike classical logic, there is no skolemization normal form for standard epistemic logic. To solve these problems, we introduce anintensional epistemic logic, based on avariation of Kripke's possible-worlds semantics that need not have a constant (...) domain. We show how a weaker notion of substitution through indexed terms can retain the Herbrand theorem. We prove how the logic can yield a satisfibility preserving skolemization form. In particular, we present an intensional principle for unifing indexed terms. Finally, we describe asound andcomplete inference system for a Horn subset of the logic withequality, based onepistemic SLD-resolution. (shrink)

This study examined the organizational ethics of 51 Chinese media outlets by investigating their organizational statements through breaking them down into three components: definitions, loyalties and values (functions and purposes), and ethical principles (consequentialism vs. formalism). The impact of three characteristics on organizational ethics was also tested. It was found that the Chinese media are most loyal to organizational development, then to the government; and least loyal to their audience. Furthermore, media organizations tend to use consequentialism rather than formalism to (...) justify their moral decisions. This pattern is particularly salient in TV stations compared with daily newspapers. (shrink)

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

The coaxiality and unbalance are the two important indexes to evaluate the assembly quality of an aeroengine. It often needs to be tested and disassembled repeatedly to meet the double-objective requirements at the same time. Therefore, an intelligent assembly method is urgently needed to directly predict the optimal assembly orientations of the rotors at each stage to meet the double-objective requirements simultaneously. In this study, an assembly optimization method for the multistage rotor of an aeroengine is proposed based on the (...) genetic algorithm. Firstly, a spatial location propagation model is developed to accurately predict the spatial position of each rotor after assembly. The alignment process of the assembly screw holes of the adjacent rotors is considered for the first time. Secondly, a new assembly optimization strategy is proposed to select different assembly data for the specific values of the coaxiality and unbalance, respectively. Finally, a double-objective fitness function is constructed based on the coaxiality and unbalance. The simulation and experimental results show that the assembly optimization method proposed in this study can be utilized to achieve synchronous optimization of the coaxiality and unbalance of an aeroengine during preassembly. (shrink)

Transgressive Typologies: Constructions of Gender and Power in Early Tang China. By Rebecca Doran. Harvard-Yenching Institute Monographs, vol. 103. Cambridge, Mass.: Harvard University Asia Center, Harvard University Press. Pp. viii + 260. $39.95.

本书从思维、逻辑、方法的视角,将思维科学与逻辑科学、现代逻辑与辩证逻辑的知识统一在一个有机体系中,探讨了辩证逻辑的规律与创造思维的方法。.

Background The enhancement of nursing care quality is closely related to the clinical competence of nurses, making it a crucial component within health systems. Objective The present study investigated the relationship between nurses’ clinical competence, moral identity, and moral injury during the COVID-19 outbreak. Research design This cross-sectional study was carried out among frontline nurses, using the Moral Identity Questionnaire (MIQ), the Moral Injury Symptom Scale-Healthcare Professionals version (MISS-HP), and the Competency Inventory for Registered Nurse (CIRN) as data collection tools. (...) Participants and research context: The research population for this study consisted of all frontline nurses ( n = 251) employed in a hospital in southern Iran. Sampling was conducted between May 1, 2021 and September 30, 2021, during the COVID-19 outbreak. Ethical considerations The present study received approval from the research ethics committee of Rafsanjan University of Medical Sciences, with project No. 99267 and code of ethics ID No. IR. RUMS.REC.1399.262, dated 15.02.2021. Results According to the study findings, 42.2% of the nurses demonstrated high clinical competence, while 51.4% exhibited moderate clinical competence. The results indicated a positive correlation between moral identity and clinical competence but a negative correlation between moral injury and clinical competence. Furthermore, the variables of moral identity and moral injury were found to predict 10% of the variance in clinical competence. Conclusion According to the results, moral identity and moral injury had an impact on the clinical competence of nurses. Therefore, implementing a program aimed at enhancing moral identity and providing training strategies to address moral injury during crises like the COVID-19 pandemic can lead to improvements in nurses’ clinical competence and the overall quality of care they provide. (shrink)

This paper examines the construction of the poet Du Mu’s libertine image to illustrate how Chinese writers and readers of the ninth and tenth centuries validated the search for sensual pleasure by associating it with literary talent, unconventional character, and political disengagement. In doing so, they added indulgence in sensual pleasures to the repertoire of fengliu cultural ideals, a repertoire previously associated with reclusion and drinking. Because sensual pleasure was traditionally viewed as trivial and/or disruptive to social order, ninth-century writers (...) approached the new ideal with considerable ambivalence. Although Du Mu had fashioned a libertine poetic self-image as a young man, he attempted to shed this image later in life. I argue that it was Du Mu’s readers who, by creatively reading his poems and writing anecdotes about his sexual adventures, re-imagined the poet as a figure of fascination and thus created one of the most enduring fengliu characters in Chinese history. (shrink)

For Marx, capitalism’s division of labour between mental and mate-rial labour is the condition of possibility for the creation of its alien, out of control, and contradictory effects. This paper will analyze the proletarian class, the capitalist class, and the world market qua ef-fects of the division of labour. The division of labour conceptualized fundamentally as a dynamic division between activity and passivity informs the analysis of these contradictory effects. This conceptual-ization of the division of labour provides the framework for (...) under-standing the striving toward activity and self-determination, de-scribed by Marx, of that which falls on the side of material labour. (shrink)

Human population genetic research (HPGR) seeks to identify the diversity and variation of the human genome and how human group and individual genetic diversity has developed. This book asks whether developing countries are well prepared for the ethical and legal conduct of human population genetic research, with specific regard to vulnerable target group protection. The book highlights particular issues raised by genetic research on populations as a whole, such as the capacity for current frameworks of Western developed countries to provide (...) adequate protections for target groups in human population genetic research, and explores potential groups of people that may suffer harm in this kind of research. Using The People's Republic of China as a key example, Yue Wang argues that since the target groups of HPGR are almost always vulnerable groups from isolated and rural areas of developing countries, the ethical and legal frameworks for human subject protection need to be reconsidered in order to eliminate, or at least reduce, the vulnerability of those groups. While most research in this field focuses on the impact on individuals, this book breaks new ground in exploring how the interests of target groups are also seriously implicated in genetic work. The book argues that current regulations are far from sufficient to prevent harm to vulnerable groups and puts forward an alternative model for group protection in the context of human population genetic research in developing countries. The book will be of great interest to students and academics of medical law, ethics, and the implications of genetic research. (shrink)

A growing group of Chinese students is returning to China following graduation, especially young returnees. This group is seen as one of the most innovative sectors of Chinese society. Based on the theory of planned behavior and three kinds of capital theories, this study explores entrepreneurial intention and its influencing factors among Newly Returned Chinese International Students. A survey of 211 NRCIS showed a low level of EI and little knowledge of supporting policies about entrepreneurship. Influencing factors included culture harmony (...) as culture capital, overseas social networks as social capital, and foreign entrepreneurship education and foreign language proficiency as human capital. Attitude mediated the effects of foreign language proficiency, culture harmony, and foreign entrepreneurship education on EI. Perceived behavior control mediated the effect of foreign language proficiency, Chinese language proficiency, culture harmony, foreign entrepreneurship education, domestic entrepreneurship education, and overseas social networks on EI, and subjective norms have no significant mediating effect in any mediation path. Based on these findings, policymakers could pay attention to examining whether the current policies are working and accessible for NRCIS, and domestic entrepreneurship education could keep cultivating students' cross-cultural communication and understanding abilities, and society and education sectors could encourage positive cognition of entrepreneurship and guide students to form a positive attitude toward entrepreneurship and enhance their confidence. (shrink)

Phosphatidylinositol 4,5‐bisphosphate (PI4,5P2) is a key lipid signaling molecule that regulates a vast array of biological activities. PI4,5P2 can act directly as a messenger or can be utilized as a precursor to generate other messengers: inositol trisphosphate, diacylglycerol, or phosphatidylinositol 3,4,5‐trisphosphate. PI4,5P2 interacts with hundreds of different effector proteins. The enormous diversity of PI4,5P2 effector proteins and the spatio‐temporal control of PI4,5P2 generation allow PI4,5P2 signaling to control a broad spectrum of cellular functions. PI4,5P2 is synthesized by phosphatidylinositol phosphate kinases (...) (PIPKs). The array of PIPKs in cells enables their targeting to specific subcellular compartments through interactions with targeting factors that are often PI4,5P2 effectors. These interactions are a mechanism to define spatial and temporal PI4,5P2 synthesis and the specificity of PI4,5P2 signaling. In turn, the regulation of PI4,5P2 effectors at specific cellular compartments has implications for understanding how PI4,5P2 controls cellular processes and its role in diseases. (shrink)

The earliest Chinese handscroll extant painting is the ‘Nushi zhen’ by Gu Kaizhi housed in the British Museum, which is now often considered to be a Tang Dynasty copy of the original. This article shows the study of the representation of garment and accessories of the figure illustrations all-sided in the painting. And by comparing with correlated literature and images, it opens out the typical skills and style in which the ancient Chinese figure painters of Jin Dynasty (AD 265-420) depicting (...) the apparels in the handscroll painting. (shrink)

After around four decades of fast growth, the cruise industry has become the most profitable and dynamic segment in the entire global leisure and tourism sector. Behind this growth is a significant shift in the profile of cruise consumers/passengers/tourists, with growth rates twice as fast as those of other types of tourists. China has become a strategic emerging market for the global cruise industry, quickly developing their cruise reception business and holding about 10% of the market share of global cruisers. (...) In this paper, we examine and categorize various travel motivations of Chinese cruise tourists by means of a questionnaire via factor analysis, mean analysis, and K-cluster analysis. The results of the study indicate that Chinese cruise tourists are primarily encouraged to participate in cruise tourism by the motivational dimensions of family leisure/relaxation, natural and cultural exploration, bond/communication, social respect, tourism shopping, and cruise-promotion information sources. The strongest motivations for Chinese cruise tourists were found to be family leisure/relaxation and natural/cultural exploration. We identify four types of cruisers using the K-means cluster method. We find that for all cruiser demographics, leisure/relaxation is the most important motivational factor. Based on these results, we propose some specific solutions for expanding the customer pool in the Chinese cruise market. (shrink)

This paper compares the very different results of the use of the theories of Arthur Lewis in constructing the mixed economies of China and the Caribbean, the widely diverging paths these economies took in the era of neoliberal globalization, and how the two can cooperate now that China has entered its Belt and Road Initiative (BRI) phase. We argue that in response to the great depression of the 1930s, both China and the Caribbean embarked on socialist alternatives to pure capitalism. (...) China took the path of revolutionary socialism, while many of the Caribbean territories embarked on reformist paths of democratic socialism. Although both of these experiments went through what we have called their Lewisian phases, several decades later China, now a market socialist state is the home of the world’s number two economy, and will soon be, if it is not already a major center of the global economic system. China now exports not only industrial goods but also capital on global scale, with the Caribbean being one of the major recipients of China’s exporting of surplus capital via its BRI. With the Caribbean remaining very much a peripheral area within the global economic system, the paper discusses the complicating factors that are likely to arise in the cooperative relations between the two regions as this gap in their locations in the global economy continues to widen. (shrink)

In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the processing of multiway (...) data. To identify differentially expressed genes, the plan is carried out as follows. First, multiview data containing cancer gene expression data from different sources are prepared. Second, the original tensor is decomposed into a sum of a low-rank tensor and a sparse tensor using TRPCA. Third, the differentially expressed genes are considered to be sparse perturbed signals and then identified based on the sparse tensor. Fourth, the differentially expressed genes are evaluated using Gene Ontology and Gene Cards tools. The validity of the TRPCA method was tested using two sets of multiview data. The experimental results showed that our method is superior to the representative methods in efficiency and accuracy aspects. (shrink)

Precise DNA replication is fundamental for genetic inheritance. In eukaryotes, replication initiates at multiple origins that are first “licensed” and subsequently “fired” to activate DNA synthesis. Despite the success in identifying origins with specific DNA motifs in Saccharomyces cerevisiae, no consensus sequence or sequences with a predictive value of replication origins have been recognized in metazoan genomes. Rather, epigenetic rules and chromatin structures are believed to play important roles in governing the selection and activation of replication origins. We propose that (...) replication initiation is facilitated by a group of sequence‐specific “replication pioneer factors,” which function to increase chromatin accessibility and foster a chromatin environment that is conducive to the loading of the prereplication complex. Dysregulation of the function of these factors may lead to gene duplication, genomic instability, and ultimately the occurrence of pathological conditions such as cancer. (shrink)