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)

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)

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)

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)

The lifetime prevalence of major depressive disorder in adolescents is reported to be as high as 20%; thus, MDD constitutes a significant social and public health burden. MDD is often associated with nonsuicidal self-injury behavior, but the contributing factors including cognitive function have not been investigated in detail. To this end, the present study evaluated cognitive impairment and psychosocial factors in associated with MDD with NSSI behavior. Eighteen and 21 drug-naïve patients with first-episode MDD with or without NSSI and 24 (...) healthy control subjects were enrolled in the study. The Hamilton Anxiety Scale, Hamilton Depression Scale, Adolescent Self-injury Questionnaire, Beck Scale for Suicide Ideation–Chinese Version, Shame Scale for Middle School Students, Sensation Seeking Scale and Childhood Trauma Questionnaire were used to assess depression-related behaviors, and event-related potentials were recorded as a measure of cognitive function. The latency of the N1, N2, P3a, P3b, and P50 components of ERPs at the Cz electrode point; P50 amplitude and P50 inhibition showed significant differences between the 3 groups. CTQ scores also differed across three groups, and the NSSI– and NSSI+ groups showed significant differences in scores on the Shame Scale for Middle School Students. Thus, cognitive function was impaired in adolescents with MDD with NSSI behavior, which was mainly manifested as memory decline, attention and executive function deficits, and low anti-interference ability. We also found that childhood abuse, lack of social support, and a sense of shame contributed to NSSI behavior. These findings provide insight into the risk factors for MDD with NSSI behavior, which can help mental health workers more effectively diagnose and treat these patients. (shrink)

As the development of artificial intelligence technology, the deep-learning -based Virtual Reality technology, and DL technology are applied in human-computer interaction, and their impacts on modern film and TV works production and audience psychology are analyzed. In film and TV production, audiences have a higher demand for the verisimilitude and immersion of the works, especially in film production. Based on this, a 2D image recognition system for human body motions and a 3D recognition system for human body motions based on (...) the convolutional neural network algorithm of DL are proposed, and an analysis framework is established. The proposed systems are simulated on practical and professional datasets, respectively. The results show that the algorithm's computing performance in 2D image recognition is 7–9 times higher than that of the Open Pose method. It runs at 44.3 ms in 3D motion recognition, significantly lower than the Open Pose method's 794.5 and 138.7 ms. Although the detection accuracy has dropped by 2.4%, it is more efficient and convenient without limitations of scenarios in practical applications. The AI-based VR and DL enriches and expands the role and application of computer graphics in film and TV production using HCI technology theoretically and practically. (shrink)

This article conducts a mixed-method content analysis of Chinese and American news media coverage of Google DeepMind’s Go playing computer program, AlphaGo. Drawing on humanistic approaches to artificial intelligence, combined with an empirically rigorous content analysis, it examines the differences and overlap in coverage by the Chinese and American press in their accounts of AlphaGo, and its historic match with Korea’s Lee Sedol in March, 2016. The event was not only followed intensely in China, but also made the front page (...) of The New York Times. This article finds that the Chinese press was more likely than the American press to frame AlphaGo as non-threatening, which the authors attribute to cultural differences and the two countries' different understandings of Go. In addition to quantitatively identifying similarities and differences in the framing of AlphaGo, this paper also investigates the underlying and evolving contestations over what constitutes the “human” and the “machine.” It concludes by discussing the implications of the study’s findings as well as outlining avenues for further research. (shrink)

The unsafe behavior of construction workers is one of the most important and direct causes of safety accidents. Managers usually develop effective incentives aimed at regulating worker safety behavior. Due to the large number of workers in construction projects, there are multiple differences in fairness preference, risk preference and ability level, which will lead to the complex effect of the traditional mechanism to regulate workers’ safety behavior. In order to improve the effectiveness of incentive measures for worker safety behavior, this (...) paper takes into account the multiple differences of individual workers’ fairness preference, risk preference and ability level, based on the tournament mechanism to construct a competition incentive model. By designing a tournament reward and salary distribution for heterogeneous workers, the occurrence of unsafe behaviors can be reduced. The study found that in terms of the optimal level of safety investment, workers with risk aversion attitude generally invest higher than that of workers with risk preference, no matter whether they have a strong fairness preference or not; In terms of the distribution of tournament rewards, workers with a risk aversion attitude and a higher level of fairness preference need to be given higher incentives. (shrink)

As the main sales force of life insurance companies, salespeople have accounted for more than 50% of life insurance sales channels over the years, playing a pivotal role in the development of the industry. Since the adoption of the model of employment at an agency, the commission income of life insurance salespeople has largely relied on their sales volume, which requires employee proactivity under a great number of stressors. However, because previous studies have analyzed stressors in a single dimension, our (...) understanding of the relationship between work stressors and proactive behaviors remains limited. Applying self-determination theory, we investigated differential relationships between challenge/hindrance stressors and proactive behaviors, which were expected to be mediated by passion and moderated by servant leadership. In the sample of 332 insurance salespeople, there was a positive relationship between challenge stressors and proactive behaviors. In addition, passion mediated the relationship between stressors and proactive behaviors, and servant leadership moderated the relationship between stressors and passion. Theoretical and practical implications are discussed. (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)

Current studies of anti/‐natalism have been carried out mainly in the context of western philosophy. In this article, we offer a pro‐natalist view based on Confucian and Afro‐communitarian philosophy (Sino‐African ethics). Grounded in this Sino‐African perspective, we uphold that there is, at least, one reason to believe that not only is it morally permissible to procreate, but also that on some occasions, procreating is what morality prescribes. Specifically, we contend that, from a Sino‐African perspective, procreating sometimes is the best way (...) to fulfil duties of reciprocity and care towards our parents. (shrink)

本书首先介绍了大潮的回应,接着介绍了严复与实证方法、王国维与实证原则、胡适与实用主义、从实证哲学到科学信念等内容。.

It is widely agreed that China is experiencing a substantial transition toward modernization. However, both business behavior and day-to-day life in China are still greatly influenced and regulated by the traditional culture that has been embedded in Chinese society for thousands of years. Therefore, when studying social phenomena in China, researchers must take the indigenous cultural context into account. Focusing on the young generation in China, the authors explore the relationships between the most fundamental traditional concepts and various value dimensions. (...) Three hundred and thirty-two university students in Southeast China took part in the survey and data were analyzed with SPSS. The result might help both scholars and practitioners to better understand the contemporary Chinese culture. The discussion and implications are also offered. (shrink)

The preferential attachment mechanism that forms scale-free network cannot display assortativity, i.e., the degree of one node is positively correlated with that of their neighbors in the network. Given the attributes of network nodes, a cultural trait-matching mechanism is further introduced in this paper. Both theoretical analysis and simulation results indicate that the higher selection probability of such mechanism, the more obvious the assortativity is shown in networks. Further, the degree of nodes presents a positive logarithm correlation with that of (...) adjacent ones. Finally, this study discusses the theoretical and practical significances of the introduction of such a cultural trait-matching mechanism. (shrink)

1. Huai hai yi tan ; Si shu jin yu -- 2. Zuo cui ti ping -- 3. Zhuang yi yao shan -- 4. Sun Shanfu du xue wen ji ; Xue kong jing she shi gao ; Lun xia xi guan shi zhu sheng xi wen ; You xin yao cao ; Ji yi ; Sun Ying'ao bei ke ji yi.

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)

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)

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)