This study aimed to explore the association between the functioning of family environment and academic burnout of Chinese college students as well as the mediating effects of the interpersonal resource and intrapersonal resource [i.e., positive psychological capital ] in this relationship. A total of 1971 Chinese undergraduates were involved in an online questionnaire survey and data analysis. It was found that family cohesion and adaptability was negatively related to academic burnout. Mediation analyses demonstrated that family cohesion and adaptability did not (...) directly affect academic burnout, but indirectly through increasing PsyCap, and through enhancing peer support and then increasing PsyCap in serial. Meanwhile, the relationship between family cohesion and adaptability and academic burnout was not mediated by peer support alone. These findings highlight the family environment’s crucial role in youth mental health and positive development in the college context. (shrink)

How to automatically detect intracranial aneurysms from Three-Dimension Time of Flight Magnetic Resonance Angiography images is a typical 3D image classification problem. Currently, the commonly used method is the Maximum Intensity Projection- based way. It transfers 3D classification into 2D case by projecting the 3D patch into 2D planes along different directions on the basis of voxel’s intensity. After then, the 2D Convolutional Neural Network is established to do classification. It has been shown that the MIP-based method can reduce the (...) demands for the samples and increase the computation efficiency. Meanwhile, the accuracy is comparable with that of 3D image classification. Inspired by the strategy of MIP, we want to further reduce the demands for samples and accelerate the training by transferring the 2D image classification into 1D case, i.e., we want to generate the 1D vectors from the MIP images and then establish a 1D CNN to do intracranial aneurysm detection and classification for 3D TOF MRA image. Specifically, our method first extracts a series of patches as the Region of Interests along the blood vessels from the original 3D TOF MRA 3D image. The corresponding MIP images of each ROI will be obtained through maximum intensity projecting. Then, we generate a series of 1D vectors by accumulating each MIP image along different directions. Meanwhile, a 1D CNN is established to detect aneurysms, in which, the input is the obtained 1D vectors and the output is the binary classification result denoting whether there are intracranial aneurysms in the considered patch. Generally, compared with 2D- and 3D-CNN, the 1D CNN-based way greatly accelerates the training and shows stronger robustness in the case of fewer samples. The efficiency of the proposed method outperforms the 2D CNN about 10 times in CPU training. Yet, their accuracies are close. (shrink)

Aiming at the problem that the embedded platform cannot meet the real-time detection of multisource images, this paper proposes a lightweight target detection network MNYOLO suitable for embedded platforms using deep separable convolution instead of standard convolution to reduce the number of model parameters and calculations; at the same time, the visible light target detection model is used as the pretraining model of the infrared target detection model and the infrared target data set collected on the spot is fine-tuned to (...) obtain the infrared target detection model. On this basis, a decision-level fusion detection model is obtained to realize the complementary information of infrared and visible light multiband information. The experimental results show that it has a more obvious advantage in detection accuracy than the single-band target detection model while the decision-level fusion target detection model meets the real-time requirements and also verifies the effectiveness of the above algorithm. (shrink)

We extend Savage et al.'s music and social bonding hypothesis by examining it in the context of Chinese music. First, top-down functions such as music as political instrument should receive more attention. Second, solo performance can serve as important cues for social identity. Third, a right match between the tones in lyrics and music contributes also to social bonding.

The lack of a standardized reliable and valid instrument makes it difficult to measure attitudes toward lesbian women and gay men consistently and thus poses a challenge to compare and contrast intervention measures. This study aimed to validate Herek’s ATLG scale among undergraduates in mainland China and identify factors associated with negative attitudes toward LG. A total of 6,036 eligible undergraduates conveniently drawn from 30 provinces across mainland China were randomly split in half. Item analysis was first used to select (...) unrelated or redundant items for deletion. Exploratory factor analysis were then conducted on the first half of the sample, followed by confirmatory factor analysis and reliability analysis in the second half. Logistic regression analyses were finally carried out to identify their determinants. Six items were removed from the item analysis. EFA supported the existence of two factors. CFA results indicated that the two-factor model fit the data better than the one-factor model. Logistic regression analyses indicated that being female, majoring in non-health-related disciplines, attributing homosexuality to uncontrollable causes, non-adherence to traditional gender norms and exposure to homosexual content were significantly associated with less negative attitudes toward both L and G. Urban students were marginally less likely to express negative attitudes toward L but not G, while non-heterosexuals and those who had prior personal contact with homosexuals exhibited less negative attitudes toward G but not L. However, grade showed no significant associations with either ATL or ATG. The retained 14-item version of Herek’s ATLG scale has been proven to be a reliable and valid tool. Furthermore, ATL and ATG were determined by different factors and thus would be treated separately. In order to reduce negative attitudes toward LG among undergraduates in mainland China, a comprehensive intervention plan such as conducting comprehensive sex education and pushing the process of legalizing same-sex marriage should be designed, implemented and evaluated. (shrink)

As the stock market is an important part of the national economy, more and more investors have begun to pay attention to the methods to improve the return on investment and effectively avoid certain risks. Many factors affect the trend of the stock market, and the relevant information has the nature of time series. This paper proposes a composite model CNN-BiSLSTM to predict the closing price of the stock. Bidirectional special long short-term memory improved on bidirectional long short-term memory adds (...) 1 − tanh function in the output gate which makes the model better predict the stock price. The model extracts advanced features that influence stock price through convolutional neural network, and predicts the stock closing price through BiSLSTM after the data processed by CNN. To verify the effectiveness of the model, the historical data of the Shenzhen Component Index from July 1, 1991, to October 30, 2020, are used to train and test the CNN-BiSLSTM. CNN-BiSLSTM is compared with multilayer perceptron, recurrent neural network, long short-term memory, BiLSTM, CNN-LSTM, and CNN-BiLSTM. The experimental results show that the mean absolute error, root-mean-squared error, and R-square evaluation indicators of the CNN-BiSLSTM are all optimal. Therefore, CNN-BiSLSTM can accurately predict the closing price of the Shenzhen Component Index of the next trading day, which can be used as a reference for the majority of investors to effectively avoid certain risks. (shrink)

Stock price data have the characteristics of time series. At the same time, based on machine learning long short-term memory which has the advantages of analyzing relationships among time series data through its memory function, we propose a forecasting method of stock price based on CNN-LSTM. In the meanwhile, we use MLP, CNN, RNN, LSTM, CNN-RNN, and other forecasting models to predict the stock price one by one. Moreover, the forecasting results of these models are analyzed and compared. The data (...) utilized in this research concern the daily stock prices from July 1, 1991, to August 31, 2020, including 7127 trading days. In terms of historical data, we choose eight features, including opening price, highest price, lowest price, closing price, volume, turnover, ups and downs, and change. Firstly, we adopt CNN to efficiently extract features from the data, which are the items of the previous 10 days. And then, we adopt LSTM to predict the stock price with the extracted feature data. According to the experimental results, the CNN-LSTM can provide a reliable stock price forecasting with the highest prediction accuracy. This forecasting method not only provides a new research idea for stock price forecasting but also provides practical experience for scholars to study financial time series data. (shrink)

This paper argues that the proliferation of the new term ‘baby man’ has an impact on reconstructing established gender relationships and resisting China's authoritarian political power in a highly-censored online environment. This study employs feminist critical discourse analysis to investigate how Chinese feminism adopts the discursive construction of ‘baby man’ and how they echo the complex historical and sociocultural backgrounds through a case study of 43 posts containing ‘baby man’ on Chinese social media. The finding suggests that the term ‘baby (...) man’ is employed in discursive strategies, namely, double irony, the blunt resistance against both gender and power relationships that deconstruct the heteropatriarchal gender norm through the mother – son female gaze and contempt for the nation's past and current population policy. It argues that despite perennial censorship, these three discursive strategies help reconstruct the extant gender hierarchy backed by conservative Confucianist ethics and represent a grassroots challenge to the political authoritarianism indoctrinated by the state. (shrink)

Resumen: La civilización China siempre ha sido conocida como la civilización de los rituales y la música, con la música jugando un papel importante a lo largo de las dinastías. El desarrollo de la música tradicional China no puede separarse de la inyección de varias ideas filosóficas y conciencia social. Ya sea el sistema de música ritual de la dinastía Zhou, las cien escuelas de pensamiento durante el período de los reinos combatientes, las discusiones metafísicas de las dinast Wei y (...) Jin, o la filosofía budista de las dinast Han y Tang, cada era ha jugado un importante papel catalizador en la formación de la teoría estética de la música tradicional China. Este artículo resume el proceso de desarrollo histórico de la cultura musical tradicional China. También analiza el proceso de construcción de la filosofía estética de la música tradicional China desde las perspectivas de las tres principales escuelas filosóficas: confucianismo, budismo y taoísmo. Estas tres escuelas han tenido el impacto más profundo en la música tradicional China. (shrink)

e-commerce has promoted the application of the Internet by traditional enterprises. While this phenomenon has deepened industrial embeddedness, it has also profoundly affected the development of traditional manufacturing and retail industries. Based on the embeddedness theory, this paper takes the e-commerce industrial chain in Xiong’an New Area of China as an example, uses location entropy method and local spatial autocorrelation to analyze its spatial characteristics and influencing factors, and also discusses the features of embeddedness from each dimension of industrial chains. (...) The results show the following: ① The supply chain of industry-dependent e-commerce is dominated by production wholesalers, and suppliers with cost advantages and commercial traditions are embedded in local characteristic industries; the e-commerce value chain is dominated by production and processing activities, and the spatial orientation of the business model is affected by regional industrial functions; the e-commerce enterprise chain is dominated by B2B enterprises, the high-level agglomeration of which reflects the absolute scale advantage provided by the e-commercialization of traditional industry. ② The distribution of the e-commerce industrial chains of Xiong’an New Area is characterized by spatial heterogeneity and has obvious spatial agglomeration. The industrial chains are concentrated in Xiong County, followed by Rongcheng County, and Anxin County has the weakest agglomeration. ③ The main factors that cause the uneven distribution of the e-commerce industrial chains in Xiong’an New Area include three aspects: transportation location advantages, traditional industrial foundation, and government policy regulation. Research can provide a scientific reference for accurately identifying the spatial development characteristics of the industrial chains from various perspectives and promoting the sustainable development and e-commercialization of traditional industries. (shrink)

Previous studies have shown that changes in gray matter density and volume in the left primary motor cortex are significantly associated with changes in individuals’ verbal intelligence quotient, but not with their performance intelligence quotient. In the present study, we examined the effects of transcranial direct current stimulation over the left primary motor cortex on performance in intelligence tests. We chose four subtests of the Wechsler Adult Intelligence Scale-Chinese Revised version and randomized participants into anodal, cathodal, and sham groups. We (...) found that anodal stimulation significantly improved performance in verbal intelligence subtests compared to cathodal and sham stimulation, while performance intelligence subtest scores did not change in any stimulation condition. These findings suggest that the excitation level of the left primary motor cortex has a unique effect on verbal intelligence. (shrink)

Quasi-realists have proposed an “internal” reading of the mind-independence claim embedded in our moral discourse, according to which the claim to mind-independence itself is a moral claim. I argue against such a quasi-realist “internal” reading. My objection is that quasi-realists cannot plausibly explain why the majority of us, either implicitly or explicitly, take moral mind-independence to be a metaethical notion. Quasi-realists either must attribute a quite obvious mistake to most metaethical theorists without explaining why they cannot recognize it, or give (...) us an intolerably ad hoc explanation about why ordinary moral speakers fail to understand their own words. Without properly addressing this problem, we have good reason to reject the quasi-realist account of moral mind-independence. (shrink)

A non‐normative, response‐dependent view about morality can avoid metaphysical extravagance and explain why the extension of some non‐normative concepts can non‐accidentally match the extension of moral concepts. These features make it a plausible reductive account of moral properties. However, some philosophers believe that a response‐dependent account of morality must contain an irreducibly normative component. I argue that it is impossible to defend such a position while retaining the response‐dependent nature of morality in the ordinary sense. However, I believe that philosophers' (...) motivation for engaging in such a philosophical project should be taken seriously. The underlying concern is that the plausibility of a response‐dependent view makes people's strong commitment to irreducible normativity a puzzle that requires an explanation. I explain why people systematically fail to give up this commitment without claiming that they rationally cannot give it up, which means a non‐normative response‐dependent view is immune from such a challenge. (shrink)

Law article prediction is a task of predicting the relevant laws and regulations involved in a case according to the description text of the case, and it has broad application prospects in improving judicial efficiency. In the existing research work, researchers often only consider a single case, employing the neural network method to extract features for prediction, which lack the mining of related and common element information between different data. In order to solve this problem, we propose a law article (...) prediction method that integrates the characteristics of common elements. It can effectively utilize the co-occurrence information of the training data, fully mine the relevant common elements between cases, and fuse local features. Experiments show that our method performs well. (shrink)

This study investigates the use of modal verbs in Chinese–English government press conference interpretation. Modal verbs mark the speaker’s opinion of or attitude toward the event described in a sentence. Interpreters also use modal verbs to indicate the stances of the source language speakers. The use of modal verbs has been examined in such contexts as research papers, textbooks, and second language learners’ output; however, studies that compare differences in modal verbs between source and target languages in the context of (...) interpreting are sparse. The investigation being reported is based on a comparable corpus—an original Chinese GPC and its English-translated version—and a parallel corpus—a translated English GPC and the original English version from the US. The results of the comparable corpus analysis indicate that the frequency of modal verbs in translated English is significantly higher than in original Chinese, in which only 40% of the modal verbs in translated English are consistent with their Chinese counterparts, while others are employed through amplification and value variation. The results of the parallel corpus analysis suggest that the increase of modal verbs in the target texts may help to achieve certain types of pragmatic functions in English. (shrink)

Delay in seeking medical services is common in elderly populations, which leads to disease progression and life difficulty. This study aims to assess the prevalence of delay in medical visits and treatment and define associated effects and factors in patients with senile cataract, which may help obtain a better understanding of late-life psychopathology and provide the basis for interventions. Patients aged more than 60 years were prospectively recruited in Zhongshan Ophthalmic Center. All participants were diagnosed with binocular senile cataract and (...) decided to have primary surgery in ZOC. The distributions of the popularity of delaying outpatient visits and treatment, the degrees of visual impairment, the influences on quality of life, and the reasons for delaying treatment among participants were accessed by the descriptive statistics. Factors associated with the perceptions of cataract treatment were accessed using a binary logistic regression model. A total of 400 senile patients aged from 60 to 94 years were enrolled. At diagnosis, 82 participants had a low vision with monocular acuity of both eyes below 0.05. All participants have felt that their normal lives were affected, and 64 participants felt that their lives were affected severely. Only 17 participants have sought for medical services immediately after feeling vision loss, and 294 participants have felt vision loss since a year ago before seeking medical help. A total of 298 participants have delayed the surgery time, and 229 patients delayed it for more than 12 months. There were 147 participants delaying surgery on account of no knowledge about it and 114 participants delaying surgery because of fear. There are a high proportion of elderly patients with senile cataract delaying their outpatient visits and surgery treatment, whose normal lives were severely affected. Increasing medical service propaganda about cataract and other common diseases in elderly populations would probably be helpful for improving perceptions of diseases and decreasing medical delays. Public needs to draw more attention to the healthy and medical status of the elderly ocular patients. (shrink)

BackgroundThe US Food and Drug Administration (FDA) regulates goods accounting for 20% of US consumers’ total expenditure. The agency’s potential susceptibility to corporate lobbying and political influence may adversely affect the its abilities to fulfill its duties as a vital federal agency. This study assesses whether the FDA’s product recall classifications in recall scenarios are influenced by firms’ lobbying activities.MethodsThe universe of all FDA recalls between 2012 and 2019 is obtained from the FDA’s website. Firm names are matched to federal-level (...) lobbying data obtained from the Center for Responsive Politics – a non-profit and nonpartisan organization that tracks lobbying expenditures and campaign contributions. Analyses are conducted using ordinary-least-squares regressions, in which the dependent variable is recall classification and independent variables are three different measures of firms’ lobbying activities in the one year prior to the recall.ResultsFirms that engage in lobbying appear more likely to receive favourable classifications from the FDA. When examining the above results by product type, we find that classification of food recalls seems to be subject to lobbying influence, but the same does not appear to be true for drug and device recalls. Evidence is consistent with the conjecture that the distinction between medical and food firms may be a result of medical firms targeting lobbying efforts at FDA approvals, rather than recalls.ConclusionsBetween 2012 and 2019, the FDA’s product recall classifications seem to be significantly influenced by firms’ lobbying activities. Lobbying firms appear to have received more favorable (i.e., less severe) recall classifications compared to non-lobbying firms. (shrink)

This study examines the Korean translations of a Japanese work Joshi no rongo [女子の論語/Women’s Analects] (Yuki, Ako [祐木亜子]. 2011. 女子の論語. Tokyo: Sunmark Publishing House), a modern interpretation of the Chinese classic The Analects, with a view to identifying how the paratexts of a translated text contributed, or hindered the reception of the work in the target culture. By drawing on Gérard Genette’s (1997 [1987]. Paratexts: Threshold of interpretation, Jane E. Lewin (trans.). Cambridge: Cambridge University Press) concept of “paratexts,” this study (...) both analyses translation shifts in the peritexts (e.g., cover, foreword, table of contents) and the epitexts (reviews) of the Korean translations. The analysis shows that the additions and rearrangements of some paratextual elements in the Korean translation further reinforced the traditional view presented in the source text, which ironically brought about heavy criticisms of the original Japanese text and resulted in the Korean retranslation of the work. The scrutiny of peritexts and epitexts in this article will enhance our understanding of the interactions between the translator, the publisher, and the public readers, which jointly contextualize the production and reception of a translated work in a given culture. (shrink)

BackgroundPhysical activity has a significant health impact worldwide and has been linked to a lower risk of the common cold.ObjectiveThe aim of this study was to estimate the form of PA among Chinese adults and the correlation between PA and number of the common cold in China's eastern, central, and western areas.DesignA cross-sectional study.SettingChina's eastern, central, and western regions from 30 November 2020 to 30 March 2021.PatientsA total of 1,920 healthy participants, who aged over 18 years old, with Internet access, (...) were enrolled, and then self-reported PA behaviors and number of the common cold were collected.MeasurementsThe authors calculated preference, intensity, frequency, and duration of PA in Chinese based on gender, age, and broad occupational categories and explored the potential effect between these factors and the common cold.ResultsApproximately 20.4% of participants reported not participating in sports regularly. Except for gender, there were significant differences in PA preference and intensity among the remaining individuals. However, intensity shows a U-shaped dose-response relationship with colds, whereas the frequency and duration have an inverse dose-response relationship. High intensity combined with high frequency increased colds the most. Nevertheless, non-exercise groups always have the most colds in each comparison.LimitationsThe result may be vulnerable to recall bias.ConclusionIntensity showed that U-shape, frequency, and duration showed inverse response to the number of colds last year, but age, sex, and occupation had no significant effects. High intensity and high frequency mixed increased colds the most, regardless of duration. (shrink)

In recent years, the phenomenal development and application of technology have given rise to new means and forms of international commercial dispute resolution. In particular, in the post-COVID era, the demand for efficient, flexible and cost-saving dispute resolution methods has increased significantly. Therefore, technology-enabled digital methods such as online arbitration, have become more widely accepted and applied. At the same time, globalisation has turned international commercial disputes increasingly complex, which often involves the interests of third parties. According to data released (...) by arbitral institutes, about 40% of arbitration cases worldwide involve more than two parties. As there is an increasing number of multi-party arbitration cases, multi-party dispute resolution mechanisms have played a more prominent role in such circumstances. Digitalisation and globalisation have facilitated multi-party projects, but they have also inevitably increased risks in multi-party disputes. For instance, arbitration is a business-friendly process, but the consensual nature of arbitration does not easily accommodate multi-party disputes. Although digitalisation in the conduction of arbitrations has made it more efficient and increased the access of multi-party commercial disputes to resolution, it still has not helped arbitration overcome the basis of party’s consent. This paper will examine the joinder mechanism in international commercial arbitration, focusing on its interaction with traditional theories and principles of arbitration, the joinder provisions in the rules of several leading arbitral institutions (e.g. ICC, LCIA, HKIAC and SCAI), and the value of the joinder mechanism in the context of digitalisation. (shrink)

本书从法哲学角度对理性及由它而引申出来的法理性和法理念作了系统的研究,并进而对当代吕国法治实践的理念进行了探讨,提出了自己对相关的问题的一些思考.

This article uses a Chinese narrative of ‘nature-human harmony’ as the main thread to connect the contributions of ontological anthropology. I argue that the best of the critiques of nature-human or nature-culture dualism in social anthropology propose rebuilding a world that ‘pursues harmony while preserving difference’ in the double sense of nature and culture. Given that most social scientific problems are indeed related to utilitarian individualism, I argue that research on ‘ontology’ should re-engage the ancient notion of ‘ ji’, construed (...) as ‘others-comprised self’, which forms the foundation of a perspective of ‘broad human relationship’ between humans and their others (other humans, things, and divinities). Perspectivism inherits many categories of Western cosmology that it critiques and represents a kind of inert ontology. Grounded in the cosmology of life ( sheng), we hope to contribute to a new anthropology of the compatibility between self/others and subject/objects. (shrink)

Available evidence highlights the importance of emotion regulation in psychological well-being. However, translation of the beneficial effects of ER from laboratory to real-life remains scarce. Here, we present proof-of-principle evidence from a novel cognitive-emotional training intervention targeting the development of ER skills aimed at increasing resilience against emotional distress. This pilot intervention involved training military veterans over 5–8 weeks in applying two effective ER strategies [Focused Attention and Cognitive Reappraisal ] to scenarios presenting emotional conflicts. Training was preceded and followed (...) by neuropsychological, personality, and clinical assessments, and resting-state functional MRI data were also collected from a subsample of the participants. Results show enhanced executive function and psychological well-being following training, reflected in increased working memory, post-traumatic growth, and general self-efficacy. Brain imaging results showed evidence of diminished bottom-up influences from emotional and perceptual brain regions, along with evidence of normalized functional connectivity in the large-scale functional networks following training. The latter was reflected in increased connectivity among cognitive and emotion control regions and across regions of self-referential and control networks. Overall, our results provide proof-of-concept evidence that resilience and well-being can be learned through ER training, and that training-related improvements manifested in both behavioral change and neuroplasticity can translate into real-life benefits. (shrink)

We study whether greater social trust is associated with a lower incidence of corporate misconduct. Both social norm and network theory suggest that social trust can affect managerial behavior and reduce the likelihood of misconduct behavior. Consistent with this prediction, we find that social trust is negatively associated with corporate misconduct behavior. Moreover, we show that, when media coverage is higher, the negative relation between social trust and corporate misconduct behavior is more pronounced. Further analyses suggest that social trust can (...) help mitigate both disclosure-related and nondisclosure-related misconduct. (shrink)

Dong Zhongshu (Tung Chung-shu) (179-104 B.C.E.) was the first prominent Confucian to integrate yin-yang theory into Confucianism. His constructive effort not only generates a new perspective on yin and yang, it also involves implications beyond its explicit contents. First, Dong changes the natural harmony (he ﾈﾱ) of yin and yang to an imposed unity (he 合). Second, he identifies yang with human nature (xing) and benevolence (ren), and yin with emotion (qing) and greed (tan). Taken together, these novelties grant a (...) philosophical basis for the theory and practice of gender inequality in their specifically Chinese manifestations. An analysis of Dong's work shows that the merce complementarity of yin and yang does not guarantee gender equality; they are not fixed categories, but together form a transformative dynamic harmony. (shrink)

on how to justify the rationality of sciences.

Although I do not have any final thoughts about the present topic, it might still be valuable to identify what questions are bothering many Chinese scholars. During an academic meeting last month Professor Yu Dunkang summarized the embarrassing situation confronting the study of Chinese philosophy today, as follows: "The object remains unclear, and the value is misplaced." The phrase "the object remains unclear" means that scholars are not sure what questions need to be studied in relation to what is called (...) "Chinese philosophy," while the phrase "the value is misplaced" means that scholars misunderstand the value and the meaning of their own work. To a large extent, this summary is correct; but the question is how this particular situation came into being. (shrink)

Adopting an instrumental approach for stakeholder management, we focus on two primary stakeholder groups to investigate the relationship between employee treatment and loan contracts with banks. We find strong evidence that fair employee treatment reduces loan price and limits the use of financial covenants. In addition, we document that relationship bank lenders price both the levels and changes in the quality of employee treatment, whereas first-time bank lenders only care about the levels of fair employee treatment. Taking a contingency perspective, (...) we find that industry competition and firm asset intangibility moderate the relationship between good human resource management and bank loan costs. The cost reduction effect of fair employee treatment is stronger for firms operating in a more competitive industry and having higher levels of intangible assets. (shrink)