Slagging-off is an important preprocessing operation of steel-making to improve the purity of iron. Current manual-operated slag removal schemes are inefficient and labor-intensive. Automatic slagging-off is desirable but challenging as the reliable recognition of iron and slag is difficult. This work focuses on realizing an efficient and accurate recognition algorithm of iron and slag, which is conducive to realize automatic slagging-off operation. Motivated by the recent success of deep learning techniques in smart manufacturing, we introduce deep learning methods to this (...) field for the first time. The monotonous gray value of industry images, poor image quality, and nonrigid feature of iron and slag challenge the existing fully convolutional networks. To this end, we propose a novel spatial and feature graph convolutional network module. SFGCN module can be easily inserted in FCNs to improve the reasoning ability of global contextual information, which is helpful to enhance the segmentation accuracy of small objects and isolated areas. To verify the validity of the SFGCN module, we create an industrial dataset and conduct extensive experiments. Finally, the results show that our SFGCN module brings a consistent performance boost for a wide range of FCNs. Moreover, by adopting a lightweight network as backbone, our method achieves real-time iron and slag segmentation. In the future work, we will dedicate our efforts to the weakly supervised learning for quick annotation of big data stream to improve the generalization ability of current models. (shrink)

The innovation of the deep learning modeling scheme plays an important role in promoting the research of complex problems handled with artificial intelligence in smart cities and the development of the next generation of information technology. With the widespread use of smart interactive devices and systems, the exponential growth of data volume and the complex modeling requirements increase the difficulty of deep learning modeling, and the classical centralized deep learning modeling scheme has encountered bottlenecks in the improvement of model performance (...) and the diversification of smart application scenarios. The parallel processing system in deep learning links the virtual information space with the physical world, although the distributed deep learning research has become a crucial concern with its unique advantages in training efficiency, and improving the availability of trained models and preventing privacy disclosure are still the main challenges faced by related research. To address these above issues in distributed deep learning, this research developed a clonal selective optimization system based on the federated learning framework for the model training process involving large-scale data. This system adopts the heuristic clonal selective strategy in local model optimization and optimizes the effect of federated training. First of all, this process enhances the adaptability and robustness of the federated learning scheme and improves the modeling performance and training efficiency. Furthermore, this research attempts to improve the privacy security defense capability of the federated learning scheme for big data through differential privacy preprocessing. The simulation results show that the proposed clonal selection optimization system based on federated learning has significant optimization ability on model basic performance, stability, and privacy. (shrink)

Students’ active learning behavior determines learning performance. In post-COVID-19 period, Online Merging Offline method become a common way of university students’ learning. However, at present, there are few studies in active learning behavior in the OMO mode. Combined with learning satisfaction and Technology Acceptance Model, this paper proposes an Online Active Learning Model to predict the influencing factors of college students’ active learning behavior and then analyzes the differences between OMO model and pure online model by multi-group analysis based on (...) the model. The designed questionnaire was distributed, and a total of 498 valid questionnaires were collected. Using SmartPLS to analyze partial least squares structural equation modeling and MGA, it is found that: there are differences in the influencing factors of active learning between OMO and pure online model; the moderating effect of learning complaint in OMO mode is not established, and social isolation and age does not affect active learning in OMO mode; learning quality, perceived ease of use, expectation, perceived usefulness, and social isolation indirectly affect active learning through learning satisfaction in both OMO model and pure online model; learning satisfaction is an important mediating variable affecting active learning; and learning complaints will negatively regulate the relationship between learning satisfaction and active learning only in pure online model. According to these findings, the paper provides theoretical and practical implementation suggestions implications for OMO teaching and OAL to ensure the expected learning outcome. (shrink)

Image-based crowd counting has extremely important applications in public safety issues. Most of the previous studies focused on extremely dense crowds. However, as the number of webcams increases, a crowd with extremely high density can obtain less error by summing the images of multiple close-range webcams, but there are still some problems such as heavy occlusions and large-scale variation. To solve the above problems, this paper proposes a new type of multibranch neural network with a compensator, in which features are (...) extracted through multibranch subnetworks of different scales. The weights between the branches are adjusted by the compensator, and the captured features are distinguished among different branches. To avoid learning nearly the same features in each branch and reducing the training deviation, the dataset is labeled with head scale, and the adaptive grading loss function is used to calculate the estimated loss of the subregions. The experimental results show that the accuracy of the network proposed in this paper is about 10% higher than that of the comparison network. (shrink)

This article presents an alternative rationale for corporate philanthropy based on managerial values of benevolence and integrity. On the one hand, top managers with benevolence and integrity values are more likely to spread their intrinsic concern for others into the wider society in the form of corporate philanthropy. On the other hand, top managers high in benevolence and integrity are likely to contribute to improved managerial credibility and trusting firm-stakeholder relationships, thereby improving corporate financial performance. Therefore, the article makes the (...) argument that both corporate philanthropy and corporate financial performance can better be interpreted as resulting from managers’ benevolence and integrity values. (shrink)

Wang Yi’s article deals with the role of house churches, that is, unregistered churches. In his evaluation of the different branches of house churches Wang Yi touches upon issues of identity and the future of China, and he also harshly criticizes the Chinese party-state, claiming that “China is becoming a tumor in the world.”.

In lieu of an abstract, here is a brief excerpt of the content:476 Feminist Studies 41, no. 2. © 2015 by Feminist Studies, Inc. Wang Zheng Detention of the Feminist Five in China On March 6 this year, just before International Women’s Day, the Chinese police in Beijing arrested five young women who had engaged in activism to protest sexual harassment on public transportation. The month-long detention of these five young feminists has changed the landscape of Chinese feminism. The (...) global feminist mobilization that emerged to appeal for their release also presents a fascinating example of a successful feminist response to authoritarianism. In this short piece, I open with a few personal snapshots to briefly illustrate the history of Chinese feminist engagement with sexist sexual norms. Next, I will situate the five young feminists’ actions within this historical context in order to illustrate significant changes in Chinese feminist practices as well as in Chinese society. Finally, I will discuss the political implications of the detention of the so-called Feminist Five as well as the global mobilization for their release. In 1985 I came from Shanghai to study US history at the University of California, Davis. I made quite a few American friends in the graduate program. They were very curious about my life in China, and I was very proud of being a liberated woman from socialist China. I acted like an ambassador, talking to different groups about the great accomplishments of women’s liberation under socialism in China. As a young, urban woman I enjoyed equal education, equal employment, equal pay, and equal opportunity for promotion. I had never experienced gender News and Views 477 inequality, I thought. One day I was telling my friends about how I once confronted a thief who had just snatched my wallet on a crowded bus in Shanghai and how I forced him to drop my wallet. My friends were very impressed: “Wow! You were so brave,” they said. A few days later, I happened to mention that on the same crowded Shanghai buses, men would frequently grope women, and my friend asked instantly, “How did you respond to them?” I replied without thinking, “What could I do? I just tried my best to move to another spot to avoid such rascals.” My friend then raised a question that shattered my self-perception as a brave and liberated woman: “Why did you dare to confront a thief but not a sexual harasser?” I answered, “Oh, I would be so ashamed if people around me noticed.” Immediately, I realized that my reply was highly problematic. That conversation set in motion a process of soul searching. Why would a liberated woman still continue to observe the patriarchal value of chastity? Why would women of my generation—the liberated Chinese women in socialist China—have no consciousness of the serious problems contained within these sexual norms? It was not only a personal reflection. From this point, I embarked on a long review and contemplation of women’s liberation in socialist China. I realized that in the realm of sexuality, while state feminists were able to transform the sexual double standard to a single standard for the general public (although some top male leaders continue double standards and engage in extramarital sexual relationships without being punished), puritanical sexual morality did not shake deeply entrenched masculinist cultural values of women’s chastity and virginity. As a result, a liberated woman such as myself could internalize such sexist values with no consciousness, let alone action, focused on changing such sexist culture. In 1992, I attended a conference by the Shanghai Women’s Federation. When a US feminist scholar asked if there were any cases of sexual harassment in China, the Chinese women participants all replied, “No, no, we don’t have sexual harassment.” I stood up and named things that happened to women every day on Shanghai buses as sexual harassment. By then I had long been empowered by my study of feminist history and theories. In 1995, at the NGO forum at the Fourth UN Conference on Women held in Beijing, feminists from inside and outside China openly challenged pervasive sexist sexual norms. Sexual violence and sexual harassment were clearly defined as violations of women’s human rights... (shrink)

Author Julia Annas Aristotle made ​​the German Asia-mile out and fortunately Fuk The arguments related point, and the role of external good fortune Fook in the problems caused. And text analysis and dialectical Happy Stoic school and school for good moral behavior and external point of view. Author argues, Aristotle on the German sub-km behavior regardless of the state with the fortunate Fook, reflecting the hope臘human ethics ideological consensus, and he left to posterity to resolve the discovery. Aristotle on the (...) German sub-km conduct the test volume and fortunately Fook to take the views of ordinary people, and thus for long-term development. We take this to understand the Stoic school and get away with school, behavior and fortunately for Germany Fuk related views and noted against the intentions are. Julia Annas presents Aristotle's view of the relation of virtue and happiness, and the resulting problem of the role of the external goods in happiness. The Stoics and Peripatetic views on virtue and external goods have been analyzed and argued. The writer suggests what Aristotle says about virtue and happiness reflects common sense of Greek ethical thought and leaves the issue. Aristotle's account of virtue and happiness takes ordinary thought on the matter and develops it far. We can see what the Stoics and Peripatetics are going to say on this matter and the opposing tendencies in this article. (shrink)

Cet article retrace les changements intervenus au sein du militantisme féministe chinois dans un climat de détérioration politique deux décennies après la Quatrième Conférence mondiale sur les femmes (QCMF) en 1995. Il met en lumière les actions novatrices menées par les jeunes féministes, de même que l’intense surveillance qu’exerce, sur le militantisme organisé, un État totalitaire qui craint de perdre son pouvoir. Bien que la sphère publique et le cyber espace ne laissent guère beaucoup de place à l’activisme, les féministes (...) chinoises se sont mobilisées pour continuer d’expérimenter de nouvelles façons d’exiger l’égalité de genre et de poursuivre des transformations sociales et culturelles. (shrink)

Theological schools are well situated to create intentional cultures for the purpose of spiritual formation. Indeed, most schools of theology have this goal as an essential part of their mission as well as a requirement for continued accreditation. And yet, the measurement of spiritual formation over time is fraught with challenges. This article seeks to address some of these challenges by means of developing a meta-theory of positive change/growth which would eventually serve as a theoretical basis for the development of (...) a generalizable and reliable measurement tool. (shrink)

Drawing on social exchange theory, we examine the conditions under which employees’ good intentions motivate them to engage in unethical pro-organizational behavior (UPB) and the psychological mechanism behind this behavioral decision. Findings from a time-lagged field study and a scenario study indicate (1) an interactive effect between perceived organizational support and employee performance on UPB; (2) that low performers who perceive high levels of organizational support are more likely to engage in UPB; and (3) that feelings of indebtedness to the (...) organization mediate the interactive effect on UPB. Therefore, the paper highlights the importance of conditional factors in motivating UPB by combining employee ‘good intentions’ and ‘disadvantageous situations’ to understand the UPB decision process. The paper concludes with theoretical and practical implications. (shrink)

In the modern business environment, characterized by rapid technological advancements and globalization, abetted by IoT and Industry 5.0 phenomenon, innovation is indispensable for competitive advantage and economic growth. However, many organizations are facing problems in its true implementation due to the absence of a practical innovation management framework, which has made the implementation of the concept elusive instead of persuasive. The present study has proposed a new innovation management framework labeled as “Absolute Innovation Management (AIM)” to make innovation more understandable, (...) implementable, and part of the organization’s everyday routine by synergizing the innovation ecosystem, design thinking, and corporate strategy to achieve competitive advantage and economic growth. The current study used an integrative literature review methodology to develop the “Absolute Innovation Management” framework. The absolute innovation management framework links the innovation ecosystem with the corporate strategy of the firm by adopting innovation management as a strategy through design thinking. Thus, making innovation more user/human-centered that is desirable by the customer, viable for business and technically feasible, creating both entrepreneurial and customer value, and boosting corporate venturing and corporate entrepreneurship to achieve competitive advantage and economic growth while addressing the needs of IoT and Industry 5.0 era. In sum, it synergizes innovation, design thinking, and strategy to make businesses future-ready for IoT and the industry 5.0 revolution. The present study is significant, as it not only makes considerable contributions to the existing literature on innovation management by developing a new framework but also makes the concept more practical, implementable and part of an organization’s everyday routine. (shrink)

Wang Hui asks what it means for China to be modern and for modernity to be Chinese. Is there a rupture between tradition and modernity in China? How has Confucian thought evolved? Did China become modern in the Middle Ages? A deep intellectual history, The Rise of Modern Chinese Thought revises our senses of both modernity and Chinese philosophy.

While robots were traditionally built to achieve economic efficiency and financial profits, their roles are likely to change in the future with the aim to provide social support and companionship. In this research, we examined whether the robot’s proposed function (social vs. economic) impacts judgments of mind and moral treatment. Studies 1a and 1b demonstrated that robots with social function were perceived to possess greater ability for emotional experience, but not cognition, compared to those with economic function and whose function (...) was not mentioned explicitly. Study 2 replicated this finding and further showed that low economic value reduced ascriptions of cognitive capacity, whereas high social value resulted in increased emotion perception. In Study 3, robots with high social value were more likely to be afforded protection from harm, and such effect was related to levels of ascribed emotional experience. Together, the findings demonstrate a dissociation between function type (social vs. economic) and ascribed mind (emotion vs. cognition). In addition, the two types of functions exert asymmetric influences on the moral treatment of robots. Theoretical and practical implications for the field of social psychology and human-computer interaction are discussed. (shrink)

Interest in sustainability is increasing, and research on ESG management continues. The first issue to be discussed in the present situation is the environment. The study between the environment and internationalization was conducted around two conflicting arguments. First, the pollution haven hypothesis states that multinational corporations move to countries with looser regulations depending on environmental regulation. Next is the Porter Hypothesis, which argues that well-designed environmental regulations offset the cost of compliance and ultimately help firms gain a competitive advantage through (...) innovation that enhances performance. However, the two arguments have not yet reached a consensus conclusion. In addition, studies on the national level and studies considering the distance between countries, an important factor in international management, are lacking. This manuscript aims to revisit the relationship between the strength of environmental regulation and foreign direct investment in the context of increasing environmental concerns. Differences between countries are an important field of international management, but research on environmental regulations is lacking. The purpose of this study is to examine the relationship between existing environmental regulations and FDI and to discuss how the distance between countries can affect existing theories. (shrink)

Coal mine safety management involves many interested parties and there are complex relationships between them. According to game theory, a multiparty evolutionary game model is established to analyze the selection of strategies. Then, a simplified three-party model is taken as an example to carry out detailed analysis and solution. Based on stability theory of dynamics system and phase diagram analysis, this article studies replicator dynamics of the evolutionary model to make an optimization analysis of the behaviors of those interested parties (...) and the adjustment mechanism of safety management policies and decisions. The results show how the charge of supervision of government department and inspection of coal mine enterprise impact the efficiency of safety management and the effect of constraint measures and incentive and other measures in safety management. (shrink)

In this paper, we mainly investigate the existence of states based on the Glivenko theorem in bounded semihoops, which are building blocks for the algebraic semantics for relevant fuzzy logics. First, we extend algebraic formulations of the Glivenko theorem to bounded semihoops and give some characterizations of Glivenko semihoops and regular semihoops. The category of regular semihoops is a reflective subcategory of the category of Glivenko semihoops. Moreover, by means of the negative translation term, we characterize the Glivenko variety. Then (...) we show that the regular semihoop of regular elements of a free algebra in the variety of Glivenko semihoops is free in the corresponding variety of regular semihoops. Similar results are derived for the semihoop of dense elements of free Glivenko semihoops. Finally, we give a purely algebraic method to check the existence of states on Glivenko semihoops. In particular, we prove that a bounded semihoop has Bosbach states if and only if it has a divisible filter, and a bounded semihoop has Riečan states if and only if it has a semi-divisible filter. (shrink)

The social facilitation of eating plays a significant role in influencing individuals’ eating decisions. However, how social eating cues are processed in health promotion messages is unclear. This study examined individuals’ food craving in response to social cues in images and emotional experiences, perceived threat, perceived efficacy, behavioral intentions, and motivational coactivation elicited by social eating cues in obesity prevention fear appeals. Results suggested that the presence of a group of people eating in an image facilitated food craving for the (...) presented foods. Moreover, fear appeals that presented obesity and its consequences with more social eating cues, versus individual eating cues, generated greater positive emotional responses, perceived threat severity, response and self-efficacy, and motivational coactivation indicating more attention and threat vigilance. However, these cues also generated fewer self-reported intentions to change unhealthy eating behaviors. Implications and suggestions for future research are discussed. (shrink)

In this study, we focus on the problem of information expiration when using the traditional collaborative filtering algorithm and propose a new collaborative filtering algorithm by integrating the time factor. This algorithm considers information influence attenuation over time, introduces an information retention period based on the information half-value period, and proposes a time-weighted function, which is applied to the nearest neighbor selection and score prediction to assign different time weights to the scores. In addition, to further improve the quality of (...) the nearest neighbor selection and alleviate the problem of data sparsity, a method of calculating users’ sentiment tendency by analysis of user review features is proposed to mine users’ attitudes about the reviewed items, which expands the score matrix. The time factor and sentiment tendency are then integrated into the K-means clustering algorithm to select the nearest neighbor. A hybrid collaborative filtering model based on the improved K-means clustering algorithm is then proposed, by combining item-based and user-based collaborative filtering. Finally, the experimental results show that the proposed algorithm can address the time effect and sentiment analysis in recommendations and improve the predictive performance of the model. (shrink)

Ben shu wan zheng di ti xian le yang ming xin xue"xin ji li","zhi xing he yi","zhi liang zhi"san da ming ti,Sheng dong di ji zai le yang ming xin xue li lun zai yang ming shi sheng zhi jian de gou jian he chuan bo guo cheng,Jiao wei ji zhong di zhan xian he hui ji le yang ming de xin xue si xiang ti xi,Dui yu yang ming hou xue de fa zhan chan sheng le zhi jie er (...) shen yuan de ying xiang. (shrink)

It was meaningful to predict the customers' decision-making behavior in the field of market. However, due to individual differences and complex, non-linear natures of the electroencephalogram signals, it was hard to classify the EEG signals and to predict customers' decisions by using traditional classification methods. To solve the aforementioned problems, a recurrent t-distributed stochastic neighbor embedding neural network was proposed in current study to classify the EEG signals in the designed brand extension paradigm and to predict the participants' decisions. The (...) recurrent t-SNE neural network contained two steps. In the first step, t-SNE algorithm was performed to extract features from EEG signals. Second, a recurrent neural network with long short-term memory layer, fully connected layer, and SoftMax layer was established to train the features, classify the EEG signals, as well as predict the cognitive performance. The proposed network could give a good prediction with accuracy around 87%. Its superior in prediction accuracy as compared to a recurrent principal component analysis network, a recurrent independent component correlation algorithm [independent component analysis ] network, a t-SNE support vector machine network, a t-SNE back propagation neural network, a deep LSTM neural network, and a convolutional neural network were also demonstrated. Moreover, the performance of the proposed network with different activated channels were also investigated and compared. The results showed that the proposed network could make a relatively good prediction with only 16 channels. The proposed network would become a potentially useful tool to help a company in making marketing decisions and to help uncover the neural mechanisms behind individuals' decision-making behavior with low cost and high efficiency. (shrink)

The advent of the intelligence age has injected new elements into the development of literature. The synergic modification of Anglo-American traumatic narrative literature by artificial intelligence technology and interactive design psychology will produce new possibilities in literary creation. First, by studying natural language processing technology, this study proposes a modification language model based on the double-layered recurrent neural network algorithm and constructs an intelligent language modification system based on the improved LM model. The results show that the performance of the (...) proposed model is excellent; only about 30% of the respondents like AAL literature; the lack of common cultural background, appreciation difficulties, and language barriers have become the main reasons for the decline of reading willingness of AAL literature. Finally, AI technology and ID psychology are used to modify a famous TN work respectively and synergically, and the modified work is appreciated by respondents to collect their comments. The results corroborate that 62% of the respondents like original articles, but their likability scores have decreased for individually modified work by AI or ID psychology. In comparison, under the synergic modification efforts of AI and ID psychology, the popularity of the modified work has increased slightly, with 65% of the respondents showing a likability to read. Therefore, it is concluded that literary modification by single ID psychology or AI technology will reduce the reading threshold by trading off the literary value of the original work. The core of literary creation depends on human intelligence, and AI might still not be able to generate high-standard literary works independently because human minds and thoughts cannot be controlled and predicted by machines. The research results provide new ideas and improvement directions for the field of AI-assisted writing. (shrink)

Digital images of cultural heritage (CH) contain rich semantic information. However, today’s semantic representations of CH images fail to fully reveal the content entities and context within these vital surrogates. This paper draws on the fields of image research and digital humanities to propose a systematic methodology and a technical route for semantic enrichment of CH digital images. This new methodology systematically applies a series of procedures including: semantic annotation, entity-based enrichment, establishing internal relations, event-centric enrichment, defining hierarchy relations between (...) properties text annotation, and finally, named entity recognition in order to ultimately provide fine-grained contextual semantic content disclosure. The feasibility and advantages of the proposed semantic enrichment methods for semantic representation are demonstrated via a visual display platform for digital images of CH built to represent the Wutai Mountain Map, a typical Dunhuang mural. This study proves that semantic enrichment offers a promising new model for exposing content at a fine-grained level, and establishing a rich semantic network centered on the content of digital images of CH. (shrink)