While it is widely assumed that greater diversity in corporate governance will enhance a firm’s corporate social performance, this study considers an alternative thesis which relates managerial control to corporate philanthropy. The study empirically evaluates both board diversity and managerial control of the board as possible predictors of corporate philanthropy. The demonstration of a positive relationship between managerial control and corporate philanthropy contributes to our understanding that corporate social performance results from a complex set of economic and social motives. Possible (...) future research and managerial implications are discussed. (shrink)

While it is widely assumed that greater diversity in corporate governance will enhance a firm’s corporate social performance, this study considers an alternative thesis which relates managerial control to corporate philanthropy. The study empirically evaluates both board diversity and managerial control of the board as possible predictors of corporate philanthropy. The demonstration of a positive relationship between managerial control and corporate philanthropy contributes to our understanding that corporate social performance results from a complex set of economic and social motives. Possible (...) future research and managerial implications are discussed. (shrink)

Using agency theory, this study empirically examined the relationship between board composition and corporate philanthropy. Generally, the ratio of insiders to outsiders, the percentage of insider stock ownership, and the proportion of female and minority board members were found to be positively and significantly associated with firms'' charitable contributions.

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.

In this position paper, we describe a number of methodological and philosophical challenges that arose within our interdisciplinary Digital Humanities project CatVis, which is a collaboration between applied geometric algorithms and visualization researchers, data scientists working at OCLC, and philosophers who have a strong interest in the methodological foundations of visualization research. The challenges we describe concern aspects of one single epistemic need: that of methodologically securing (an increase in) trust in visualizations. We discuss the lack of ground truths in (...) the (digital) humanities and argue that trust in visualizations requires that we evaluate visualizations on the basis of ground truths that humanities scholars themselves create. We further argue that trust in visualizations requires that a visualization provides provable guarantees on the faithfulness of the visual representation and that we must clearly communicate to the users which part of the visualization can be trusted and how much. Finally, we discuss transparency and accessibility in visualization research and provide measures for securing transparency and accessibility. (shrink)

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)

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)

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)

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)

We propose a novel type of low distortion radial embedding which focuses on one specific entity and its closest neighbors. Our embedding preserves near-exact distances to the focus entity and aims to minimize distortion between the other entities. We present an interactive exploration tool SolarView which places the focus entity at the center of a "solar system" and embeds its neighbors guided by concentric circles. SolarView provides an implementation of our novel embedding and several state-of-the-art dimensionality reduction and embedding techniques, (...) which we adapted to our setting in various ways. We experimentally evaluated our embedding and compared it to these state-of-the-art techniques. The results show that our embedding competes with these techniques and achieves low distortion in practice. Our method performs particularly well when the visualization, and hence the embedding, adheres to the solar system design principle of our application. Nonetheless - as with all dimensionality reduction techniques - the distortion may be high. We leverage interaction techniques to give clear visual cues that allow users to accurately judge distortion. We illustrate the use of SolarView by exploring the high-dimensional metric space of bibliographic entity similarities. (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)

The History of Ideas is presently enjoying a certain renaissance after a long period of disrepute. Increasing quantities of digitally available historical texts and the availability of computational tools for the exploration of such masses of sources, it is suggested, can be of invaluable help to historians of ideas. The question is: how exactly? In this paper, we argue that a computational history of ideas is possible if the following two conditions are satisfied: (i) Sound Method . A computational history (...) of ideas must be built upon a sound theoretical foundation for its methodology, and the only such foundation is given by the use of models , i.e., fully explicit and revisable interpretive frameworks or networks of concepts developed by the historians of ideas themselves. (ii) Data Organisation. Interpretive models in our sense must be seen as topic-specific knowledge organisation systems (KOS) implementable (i.e. formalisable) as e.g. computer science ontologies. We thus require historians of ideas to provide explicitly structured semantic framing of domain knowledge before investigating texts computationally, and to constantly re-input findings from the interpretive point of view. In this way, a computational history of ideas maximally profits from computer methods while also keeping humanities experts in the loop. We elucidate our proposal with reference to a model of the notion of axiomatic science in 18th -19th century Europe. (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)

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)

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)

Résumé Et toi, quel est ton genre? Les Betty, intellectuelles précaires, partageant un désir militant, critiques tant vis-à-vis des groupes féministes historiques, que des pratiques politiques au sein du mouvement des mouvements, nous racontent leur création d’un espace, le "sexishock" au cœur même d’un centre social à Bologne.

The discussion of collective agency involves the reduction problem of the concept of a collective. Individualism and Cartesian internalism have long restricted orthodox theories and made them face the tension between an irreducible concept of a collective and ontological reductionism. Heterodox theories as functionalism and interpretationism reinterpret the concept of agency and accept it as realized on the level of a collective. In order to adequately explain social phenomena that have relations as their essence, in this paper we propose a (...) relational, holistic account of collective agency and argue that functionalism and interpretationism can be integrated into such an account. (shrink)

The common discourse on intellectual property rights rests mainly on utilitarian ground, with implications on the question of justice as well as moral significance. It runs like this: Intellectual property rights are to reward the originators for his/her intellectual labour mainly in monetary terms, thereby providing incentives for originators to engage in future innovative labouring. Without such incentives, few, if not none, will engage in creative activities and the whole human community will, thereby, suffer because of reduced inventions. However, such (...) utilitarian argument on piracy as de-motivation may not be necessarily justified. In fact, intellectual property arrangement is one among different institutions concerning how the society may handle new ideas and creative works. In reality, private ownership over one's intellectual product is merely a modern western concept that is being ' advertised' as being normative, which, by itself, is highly debatable. Alarming still, such normative argument assumes both justness and moral dimensions. This article will analyse whether such argument is philosophically sound. (shrink)

This book's importance is derived from three sources: careful conceptualization of teacher induction from historical, methodological, and international perspectives; systematic reviews of research literature relevant to various aspects of teacher induction including its social, cultural, and political contexts, program components and forms, and the range of its effects; substantial empirical studies on the important issues of teacher induction with different kinds of methodologies that exemplify future directions and approaches to the research in teacher induction.

This book returns the reader to an agenda for addressing equity in schools, emphasizing the need to reexamine past reform efforts and the work ahead for educational leaders in reshaping schools and schooling.

This book examines cultural recognition and the struggle for identity in America's schools. In particular, the contributing authors focus on the recognition and misrecognition as antagonistic cultural forces that work to shape, and at times distort identity.