This paper considers two kinds of stochastic reentrant job shop scheduling problems, i.e., the SRJSSP with the maximum tardiness criterion and the SRJSSP with the makespan criterion. Owing to the NP-complete complexity of the considered RJSSPs, an effective differential evolutionary algorithm combined with two uncertainty handling techniques, namely, DEA_UHT, is proposed to address these problems. Firstly, to reasonably control the computation cost, the optimal computing budget allocation technique is applied for allocating limited computation budgets to assure reliable evaluation and identification (...) for excellent solutions or individuals, and the hypothesis test technique is added to execute a statistical comparison to reduce some unnecessary repeated evaluation. Secondly, a reentrant-largest-order-value rule is designed to convert the DEA’s individual to the SRJSSP’s solution. Thirdly, a conventional active decoding scheme for the job shop scheduling problem is extended to decode the solution for obtaining the criterion value. Fourthly, an Insert-based exploitation strategy and an Interchange-based exploration strategy are devised to enhance DEA’s exploitation ability and exploration ability, respectively. Finally, the test results and comparisons manifest the effectiveness and robustness of the proposed DEA_UHT. (shrink)

More and more studies showed that strabismus is not simply an ocular disease, but a neuro-ophthalmology disease. To analyze potential changes in brain activity and their relationship to behavioral performance in comitant strabismus patients and healthy controls. Our study recruited 28 patients with comitant strabismus and 28 people with matched weight, age range, and sex ratio as healthy controls. Using resting-state functional magnetic resonance imaging, we evaluated fALFF to compare spontaneous brain activity between comitant strabismus and healthy controls. We did (...) hospital anxiety and depression scale questionnaires for these patients. We found significantly lower fALFF value in comitant strabismus patients compared with controls in the left frontal superior medial gyrus and the right middle cingulum. In the latter region, fALFF was significantly negatively correlated with the hospital anxiety and depression scale, as well as the duration of disease. Receiver operating characteristic curve analysis indicated that the fALFF method has clear potential for the diagnosis of comitant strabismus patients. These results revealed abnormal spontaneous activity in two brain regions of comitant strabismus patients, which may indicate underlying pathologic mechanisms and may help to advance clinical treatment. (shrink)

The no-wait flow-shop scheduling problem with sequence-dependent setup times and release times is a typical NP-hard problem. This paper proposes an enhanced differential evolution algorithm with several fast evaluating strategies, namely, DE_FES, to minimize the total weighted tardiness objective for the NFSP with SSTs and RTs. In the proposed DE_FES, the DE-based search is adopted to perform global search for obtaining the promising regions or solutions in solution space, and a fast local search combined with three presented strategies is designed (...) to execute exploitation from these obtained regions. Test results and comparisons with two effective meta-heuristics show the effectiveness and robustness of DE_FES. (shrink)

This paper uses an improved deep learning algorithm to judge the rationality of the design of landscape image feature recognition. The preprocessing of the image is proposed to enhance the data. The deficiencies in landscape feature extraction are further addressed based on the new model. Then, the two-stage training method of the model is used to solve the problems of long training time and convergence difficulties in deep learning. Innovative methods for zoning and segmentation training of landscape pattern features are (...) proposed, which makes model training faster and generates more creative landscape patterns. Because of the impact of too many types of landscape elements in landscape images, traditional convolutional neural networks can no longer effectively solve this problem. On this basis, a fully convolutional neural network model is designed to perform semantic segmentation of landscape elements in landscape images. Through the method of deconvolution, the pixel-level semantic segmentation is realized. Compared with the 65% accuracy rate of the convolutional neural network, the fully convolutional neural network has an accuracy rate of 90.3% for the recognition of landscape elements. The method is effective, accurate, and intelligent for the classification of landscape element design, which better improves the accuracy of classification, greatly reduces the cost of landscape element design classification, and ensures that the technical method is feasible. This paper classifies landscape behavior based on this model for full convolutional neural network landscape images and demonstrates the effectiveness of using the model. In terms of landscape image processing, the image evaluation provides a certain basis. (shrink)

Focusing on Hangzhou, a famous tourist city in China, in this study, four regression models were constructed through four items of tourist loyalty to investigate the influence of tourist perceptions and characteristics on male and female tourist loyalty to shared bicycles. A questionnaire survey and ordered logistic regression model techniques were used. Survey data from 467 tourists indicated that there were significant differences between male and female tourists. For male tourists, their willingness to reuse shared bicycles was positively correlated with (...) ease of access to cycles, environmental awareness, psychological benefit, and management provision; however, their willingness to recommend shared bicycles was only affected by environmental awareness, psychological benefit, and management provision. Among female tourists, willingness to reuse shared bicycles was affected by ease of access to cycles, environmental awareness, and rule adherence, while their willingness to recommend shared bicycles was affected by ease of access to cycles, environmental awareness, psychological benefit, and managerial provision. In addition, female tourists’ socio-demographic and behavioral characteristics had a significant impact on their loyalty, among which length of stay in Hangzhou and education were significant in the four regression models, and number of visits to Hangzhou had a positive impact on female tourists’ willingness to reuse. In addition, female tourists who used Hellobike had higher willingness to reuse and recommend than those who used Mobike. For male tourists, only length of stay in Hangzhou had a significant impact on their reuse intention. The current study extends the theory of attribution to explore the factors which may affect tourist’s loyalty to bicycle-sharing from the perspectives of tourists’ perceptions. It will provide further support to decision makers in the development of new shared-bicycle systems at Chinese tourist destinations, with the aim of strengthening tourist loyalty to shared-bicycle programs. (shrink)

Given the importance of data safety for psychology, the present study investigated the influence of data leaking scandal on campus customers’ financial consumption behaviors at intelligent tourism platforms in China, and explored the roles that individual characteristics play in this process by focusing on a set of participants from colleges. Data were collected through sending out an online questionnaire, where respondents were asked to finish a series of questions about their background information, their trust, future consuming intention, and defensive behaviors (...) toward intelligent platforms. After they finished these questions, a short description about an online tourism platform leaking customers’ personal information was presented to the respondents, following which they were asked to report about their future consuming intentions and defensive behaviors again. In total, 236 participants of college students and teachers were recruited. Paired samples mean comparison showed that after the stimulus was presented, the respondents had a significant decrease in future financial consumption intention, and a significant increase in defensive behaviors toward online tourism platforms due to risks perceived. Multiple regression analysis was conducted subsequently to investigate individual characteristics that may account for part of the decrease in consuming intention. Results showed that, customers with higher level of trust and monthly income, as well as older customers, tend to experience higher level of decrease in consuming intention, and increase in defensive behaviors. These findings highlighted the importance of online tourism platforms guaranteeing data security of their customers. (shrink)

Nowadays, depression is the world’s major health concern and economic burden worldwide. However, due to the limitations of current methods for depression diagnosis, a pervasive and objective approach is essential. In the present study, a psychophysiological database, containing 213 subjects, was constructed. The electroencephalogram signals of all participants under resting state and sound stimulation were collected using a pervasive prefrontal-lobe three-electrode EEG system at Fp1, Fp2, and Fpz electrode sites. After denoising using the Finite Impulse Response filter combining the Kalman (...) derivation formula, Discrete Wavelet Transformation, and an Adaptive Predictor Filter, a total of 270 linear and nonlinear features were extracted. Then, the minimal-redundancy-maximal-relevance feature selection technique reduced the dimensionality of the feature space. Four classification methods distinguished the depressed participants from normal controls. The classifiers’ performances were evaluated using 10-fold cross-validation. The results showed thatK-Nearest Neighbor had the highest accuracy of 79.27%. The result also suggested that the absolute power of the theta wave might be a valid characteristic for discriminating depression. This study proves the feasibility of a pervasive three-electrode EEG acquisition system for depression diagnosis. (shrink)

This paper presents a human-computer interaction model with a three layers learning mechanism in a pervasive environment. We begin with a discussion around a number of important issues related to human-computer interaction followed by a description of the architecture for a multi-agent cooperative design system for pervasive computing environment. We present our proposed three- layer HCI model and introduce the group formation algorithm, which is predicated on a dynamic sharing niche technology. Finally, we explore the cooperative reinforcement learning and fusion (...) algorithms; the paper closes with concluding observations and a summary of the principal work and contributions of this paper. (shrink)

At present, in the context of the era of energy and digital reform enabling the “dual carbon” goal, in order to improve the performance of urban green innovation, digitalization has become more and more important. Based on panel data, taking 228 prefecture-level cities in China from 2003 to 2019 as an example, this study expounds three dimensions of promoting green innovation performance in the internal mechanism of digital development: direct transmission mechanism, indirect transmission mechanism, and regional heterogeneity transmission mechanism. This (...) article uses mechanism analysis and adopts a dynamic spatial panel model and systematic GMM method to empirically test the growth effect of green innovation performance endowed by digitization. This article found that green innovation performance showed regional heterogeneity and urban heterogeneity after adding carbon dioxide emissions from energy consumption, and digital development significantly improved the level of innovation performance. Further research found that digitalization has a positive impact on technological innovation, and technological innovation also has a positive impact on green innovation performance. And technological innovation plays a mediating role between digitalization and green innovation performance. Different intensities of environmental regulation play a positive moderating role in the impact of digitalization on green innovation performance. (shrink)

This work aims to increase the consumption of online tourism products and promote the development of the tourism economy. Based on this, it first analyses the Internet market under the guidance of consumer psychology. Then, the influencing factors of online product decision-making for the tourism economy are discussed. Finally, based on the above analysis, it discusses and evaluates the main factors affecting the consumption of online travel products. The research method of this work is set based on psychology so that (...) it can analyze the psychological state of consumers more deeply and promote the development of the consumer market. The results show that the main factors affecting the consumption of online travel products include online travel platforms and user characteristics. Specifically, approximately 80% of users consume online travel products based on platform reviews, approximately 10% of users consume online travel products based on platform recommended content, and approximately 5% of users consume online travel products based on platform search content. Users vary mainly by age, gender, and region and have different preferences for different platforms. Among the four major platforms, Ctrip occupies the most consumers. The conclusion is that the main way to develop the tourism economy is to build a better online travel platform. At the same time, it is necessary to promote online tourism according to the characteristics of users and increase the marketing of online tourism products. This work not only provides a reference for promoting online tourism product marketing but also helps to promote the development of the tourism economy. (shrink)

ObjectiveThis paper studies the mediating and interactive effects of social capital on psychological capital and the feeling of happiness from the impact of COVID-19. Since its emergence, the COVID-19 pandemic has taken a toll on people’s mental health and affected their hopes for the future. Lifestyle and economic conditions have also been affected and have subsequently impacted people’s sense of confidence in life. This could increase the likelihood of many people developing mental health issues, such as anxiety or depression. Therefore, (...) it is vital to study the influence of psychological capital and social capital on people’s subjective psychology and happiness experiences.Materials and MethodsUsing an ordered probit model, this paper studied the independent influence and interaction between psychological capital and social capital on people’s happiness. The ordered probit model was chosen because subjective well-being is an ordered variable. We further used structural equation modeling to study the mediating effects of social capital on psychological capital and happiness.ResultsThe regression results showed that both psychological capital and social capital were significantly positively correlated with happiness when controlling for other factors. In addition, psychological and social capital significantly interacted, in which the psychological capital promotes the effect of social capital on happiness. Moreover, the effect of psychological capital on happiness was greater than that of social capital, demonstrating that happiness is more greatly influenced by subjective psychological experience. The interaction coefficient of psychological and social capital was also significant, showing that the two have mutually reinforcing effects on happiness. Finally, health, income class, real estate, stranger trust, age, and urban household registration had significant positive effects on happiness, while the view of money, being female, education had a negative relationship with happiness. The SEM results showed that the mediating effect of psychological capital on happiness was partly transmitted through social capital: the total effect of psychological capital on happiness was highly significant, as was the total effect of social capital on happiness ; however, the coefficient for psychological capital was greater than that for social capital. Through heterogeneity analysis, we found that the relationship between psychological capital, social capital, and happiness was significantly positive in each sub-sample group. There was also a significant interaction between psychological and social capital for men, women, urban and rural residents, and higher education background sample groups. However, the interaction was not significant in the sample group without higher education. In addition, the relationship between the happiness of rural residents and their educational background and gender was not significant.ConclusionWe found that psychological and social capital have significant positive relationships and effects on happiness. Psychological capital demonstrated both direct and indirect influences on happiness, and further strengthens the influence of social capital on happiness. These results support a scheme to emphasize psychological support during the COVID-19 pandemic period to enhance the mental health of citizens. (shrink)

v. 1. Sheng ji tu -- v. 2. Mengzi sheng ji tu.

In the context of “carbon peaking and carbon neutrality,” companies are responsible for actively reducing carbon emissions and achieving a balance among economic, environmental, and social benefits. From a non-economic perspective, this study chose a sample of 9872 A-share manufacturing companies listed on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2019. This study used the fixed-effect model to explore the mechanism of corporate social responsibility (CSR) and its three sub-dimensions (shareholder rights, employee rights, and social contribution) on corporate (...) carbon performance. This study also examined the mediating mechanism of government subsidy and the moderating effects of internationalization and corporate governance as internal and external factors. The results show that: (1) CSR can significantly improve corporate carbon performance, and government subsidies play a partial intermediary role. (2) CSR significantly promotes carbon performance for firms with lower internationalization levels and higher corporate governance levels. (3) Heterogeneous conditions such as CSR disclosure willingness, CSR report quality, and corporate attributes have different impacts on corporate carbon performance. These findings can help government agencies formulate policies to promote CSR and restrain corporate carbon emissions. Corporate managers can also fulfill CSR and improve carbon performance through government subsidies, internationalization, and corporate governance. (shrink)

The key mutation of the schizophrenic psyche can be described as a disturbance of the first person-ness of the I-sense, i.e., of the sense of the "I" as personal subject of experience and of action. Under these circumstances, representations of things are not definitively experienced as "my" representations—with the self-evidence of belonging to me. This uncertainty of selfhood, specific to schizophrenia, cannot be reduced to a disability of intellect, logic, judgment, or memory. In the course of developing his argument, the (...) author criticizes philosopher Michel Henry's critique of Heidegger's (1961) interpretation of Descartes's cogito ergo sum. (shrink)

This article introduces the concept of corporate social responsibility in the seemingly oxymoronic context of Chinese “authoritarian capitalism.” Following an introduction to the emergence of authoritarian capitalism, the article considers the emergence of CSR in China using Matten and Moon’s framework of explaining CSR development in terms both of a business system’s historic institutions and of the impacts of new institutionalism on corporations arising from societal pressures in their global and national environments. We find two forms of CSR in China, (...) reflecting the “multiplexity” of its business system: one in the mainly family-owned small and medium-sized enterprise sector reflecting concern with local reputation, and another in the corporate, mainly state-owned enterprise sector, reflecting global and national societal expectations. We investigate the dynamics of CSR in China through the interplay of the global and national societal pressures and mediating and even leading roles played by the State and the Party. We consider the conceptual integrity and practical prospects for “state-led society-driven” CSR and future research opportunities, including those opened up by the three contributing articles to this special issue. (shrink)

Western buying companies impose Supplier Codes of Conduct (SCC) on their suppliers in developing countries; however, many suppliers cannot fully comply with SCC and some of them even cheat in SCC. In this research, we link contract characteristics - price pressure, production complexity, contract duration - to the likelihood of supplier's commitment to SCC through a mediating process: how the buying companies govern their suppliers. Our structural equation model analysis shows that the hierarchy/relational norms governance is a perfect mediator of (...) contract characteristics' effects on the likelihood of supplier's commitment; the market governance, an insignificant one. The managerial implications are provided for successfully implementing SCC in global supply chains. (shrink)

Analytical study of an ideal life for a woman in Islam with special reference to modern science.

This commentary cites evidence to argue that girls growing up in a competitive and aggressive environment are more likely to shift to avoidant attachment than to ambivalent attachment in middle childhood. These avoidant women are also more likely to favor a short-term mating strategy. The role of oxytocin (OT) and early experience in shaping an avoidant attachment in females is also discussed.

Abstract This essay explores what it means to be human in an age of infomedia. Appropriating Niklas Luhmann's systems theory/media theory in dialogue with other resources, I propose a post-Luhmannian paradigm of (1) extended media/meaning that conceives the world as world multimedia systems processing variegated meanings, and (2) an embodied, contextualized soft posthumanist anthropology that conceives the human as emergent collective phenomena of distinct meaning making by body-mind-society-technology media couplings. I argue: (1) Homo sapiens is Homo medialis distinct with mediatic (...) communication that emerged to cope with contingencies. (2) Evolution is the mediatization/codification of the world that culminated with the outcome of Homo medialis uniquely equipped to process transcendent meanings and to mediatize the world via diverse media—Mediatized Co-Mediatizer or Codified Co-Codifier. (3) This anthropic universe is possibly the most “meaningful” (full of meaning possibilities) of all possible worlds. (4) Social fragmentation could be an optimization; science-and-religion is an infomedium optimizing religion's manifest and science’ latent observation of divine manifestations. (shrink)

The guide dog robot (GDR) is a low-speed companion robot that serves visually impaired people and is used to guide blind people to walk steadily, carrying a variety of intelligent technologies and needing to have the ability to guide with optimal energy consumption in specific scenarios. This paper proposes an innovative technique for virtual-real collaborative path planning and navigation of the GDR specific indoor scenarios, and designs an experimental method for virtual-real collaborative path planning of the GDR specific scenarios. The (...) energy consumption integral equation is used to solve for the energy consumption of the GDR with virtual-real synergy, and the difference in energy consumption is compared for three different navigation directions: horizontal, vertical and oblique obstacle avoidance. The results show that the optimized GDR saves 6.91% in rectilinear movement and 10.60% in curved movement. The efficiency of planning and navigating the GDR in specific domestic scenarios is verified by a virtual-real cooperative. The realization of optimal path planning for energy consumption is instrumental in exploring many of the most significant thought in the path planning and navigation of mobile robots in indoor specific scenarios. (shrink)

IPA is now a widely recognised qualitative approach within psychology. Drawing on its hermeneutic underwriting, enabled by hermeneutic philosophers (Aristotle, Heidegger, Gadamer, Ricoeur), this paper proposes eight Hermeneutic Themes ubiquitous within presentation of these philosophers’ writing. Research participant experiential narrative, accounts of understanding-in-practice, can be allocated structurally to these Hermeneutic Ubiquitous Themes (HUTs). For Gadamer, a hermeneutic consideration of practices was initiated by Aristotle’s early writing on phronesis or a situated understanding-in-practice. The present thematic analysis recognises such a Greek source. (...) Exemplars of potential participants’ experiential narratives are provided within their respective HUTs prior to positioning Malaysian women viewers’ ethical ‘watching competencies’. Keywords: ethics, hermeneutic ubiquitous themes, Malaysia, phenomenolgy, phronesis. (shrink)

Ist das Politische Macht? Ist es öffentliches Handeln oder die beste Gesellschaftsordnung? Daniela Hüttinger sucht dort nach einer Antwort, wo die historische Wurzel des Politischen vermutet wird: im Griechenland des 5. und 4.

本文是关于逻辑哲学相关专题的研究成果,包括逻辑本身的整体性的哲学思考、现代逻辑发展中的一些具体问题的哲学研究等。.

本书对弘扬中华民族美德的经典篇章进行挖掘整理、条分缕析,涵盖古今代表篇什,导读、原文、赏析三位一体,帮助读者在阅读中得到思想的启迪、道德的升华。.

В книге представлены исследования и материалы, отражающие авторские размышления об актуальных проблемах психоанализа. Предметом осмысления являются вопросы, касающиеся перипетий развития психоанализа в России.