In this article, based on the previous works, a new fractional-order financial model is put up. The chaotic behavior of the fractional-order financial model is suppressed by designing an appropriatePDϑcontroller. By choosing the delay as the bifurcation parameter, we establish the sufficient condition to guarantee the stability and the existence of Hopf bifurcation of fractional-order financial model. Also, the influence of the delay and the fractional order on the stability and the existence of Hopf bifurcation of fractional-order financial model is (...) revealed. An example is given to confirm the effectiveness of the analysis results. The main findings of this article play an important role in maintaining economic stability. (shrink)

Social information processing theory suggests that the chief executive officer’s entrepreneurial orientation is an organisational signal that influences the members’ innovativeness. Middle management teams are expected to be more innovative as they connect senior managers with frontline managers in the dynamic competitive environment of the digital economy. How CEOs guide MMT innovations through EO becomes critical in the process of capturing opportunities and creating value. However, previous research has failed to adequately identify distinct CEO EO manifestations with organisational contexts configurations (...) that influence MMTs innovation. Thus, based on differences in organisational contexts and MMTs’ cognition, this study thoroughly investigates how the vertical manifestation of CEO EO impacts the innovativeness of MMTs. We used fuzzy-set qualitative comparative analysis on a sample of 117 organisations to determine which configurations of CEO EO vertical penetration within an organisation can stimulate MMT innovativeness. The study discovered four first-level configurations that support stimulating MMT innovativeness respectively when the CEO EO is fully or partially manifested, and without the CEO EO. Moreover, we found the internal reasons for MMTs’ information interpretation heterogeneity, which is critical for realising the coordination and unity of entrepreneurial cognition and behaviours. Finally, these findings’ theoretical and practical implications are discussed. (shrink)

In this work, we propose a method to transform a speaker’s speech information into a target character’s talking video; the method could make the mouth shape synchronization, expression, and body posture more realistic in the synthesized speaker video. This is a challenging task because changes of mouth shape and posture are coupled with audio semantic information. The model training is difficult to converge, and the model effect is unstable in complex scenes. Existing speech-driven speaker methods cannot solve this problem well. (...) The method proposed in this paper first generates the sequence of key points of the speaker’s face and body postures from the audio signal in real time and then visualizes these key points as a series of two-dimensional skeleton images. Subsequently, we generate the final real speaker video through the video generation network. We take a random sampling of audio clips, encode audio contents and temporal correlations using a more effective network structure, and optimize and iterate network outputs using differential loss and attitude perception loss, so as to obtain a smoother pose key-point sequence and better performance. In addition, by inserting a specified action frame into the synthesized human pose sequence window, action poses of the synthesized speaker are enriched, making the synthesis effect more realistic and natural. Then, the final speaker video is generated by the obtained gesture key points through the video generation network. In order to generate realistic and high-resolution pose detail videos, we insert a local attention mechanism into the key point network of the generated pose sequence and give higher attention to the local details of the characters through spatial weight masks. In order to verify the effectiveness of the proposed method, we used the objective evaluation index NME and user subjective evaluation methods, respectively. Experiment results showed that our method could vividly use audio contentsto generate corresponding speaker videos, and its lip-matching accuracy and expression postures are better than those of previous work. Compared with existing methods in the NME index and user subjective evaluation, our method showed better results. (shrink)

We propose a theory of events and causes against the background of branching time. Notions discussed include possibility based on reality, transitions, events, determinacy, contingency, causes and effects. The main idea in defining causal relations is to introduce a certain preconditioning circumstance under which one event follows another. We also briefly compare this theory with some other theories.

Semantic categories in the world's languages often reflect a historical process of chaining: A name for one referent is extended to a conceptually related referent, and from there on to other referents, producing a chain of exemplars that all bear the same name. The beginning and end points of such a chain might in principle be rather dissimilar. There is also evidence supporting a contrasting picture: Languages tend to support efficient, informative communication, often through semantic categories in which all exemplars (...) are similar. Here, we explore this tension through computational analyses of existing cross-language naming and sorting data from the domain of household containers. We find formal evidence for historical semantic chaining, and evidence that systems of categories in this domain nonetheless support near-optimally efficient communication. Our results demonstrate that semantic chaining is compatible with efficient communication, and they suggest that chaining may be constrained by the functional need for efficient communication. (shrink)

The temporal structure of behavior contains a rich source of information about its dynamic organization, origins, and development. Today, advances in sensing and data storage allow researchers to collect multiple dimensions of behavioral data at a fine temporal scale both in and out of the laboratory, leading to the curation of massive multimodal corpora of behavior. However, along with these new opportunities come new challenges. Theories are often underspecified as to the exact nature of these unfolding interactions, and psychologists have (...) limited ready-to-use methods and training for quantifying structures and patterns in behavioral time series. In this paper, we will introduce four techniques to interpret and analyze high-density multi-modal behavior data, namely, to: (1) visualize the raw time series, (2) describe the overall distributional structure of temporal events (Burstiness calculation), (3) characterize the nonlinear dynamics over multiple timescales with Chromatic and Anisotropic Cross-Recurrence Quantification Analysis (CRQA), (4) and quantify the directional relations among a set of interdependent multimodal behavioral variables with Granger Causality. Each technique is introduced in a module with conceptual background, sample data drawn from empirical studies and ready-to-use Matlab scripts. The code modules showcase each technique’s application with detailed documentation to allow more advanced users to adapt them to their own datasets. Additionally, to make our modules more accessible to beginner programmers, we provide a “Programming Basics” module that introduces common functions for working with behavioral timeseries data in Matlab. Together, the materials provide a practical introduction to a range of analyses that psychologists can use to discover temporal structure in high-density behavioral data. (shrink)

Using a panel data of 806 U.S. firms from 2006 to 2015, we find that in their ratings of corporate social responsibility performance, firms with top managers who attended religiously affiliated schools outperform their peers with no such managers. The positive relationship between religious school attendance and CSR performance is stronger among firms with lower level of community religiosity or less external monitoring. Our findings lend support to early theoretical work that suggests managerial CSR-oriented values can be key motivating factors (...) for CSR initiatives. (shrink)

Resumo: Yang Naimei (杨耐梅) é uma estrela de cinema chinesa da primeira metade do século XX. O estudo discute a prática de vida e o significado de Yang Naimei como uma flapper chinesa. Flapper se refere à garota moderna que cresceu na Europa e na América, na década de 1920, e desafia o estilo de vida tradicional. Yang Naimei é boa em atuar como uma mulher indisciplinada, na tela. Ela teve muitos relacionamentos em sua vida. Ela acumulou riqueza e reputação (...) com sua carreira de atriz, que incorpora totalmente as características da flapper. No entanto, a sociedade da época não oferecia espaço suficiente para o desenvolvimento sustentável da geração de mulheres, como Yang Naimei, na vida econômica, política e pessoal. Com a sua juventude passada, ela foi eliminada pela indústria cinematográfica e sofreu com a pobreza e a doença, na segunda metade de sua vida. Tomando Yang Naimei como uma silhueta dos tempos, pode-se refletir sobre as voltas e reviravoltas do caminho de desenvolvimento das mulheres chinesas. (shrink)

E-commerce conceivable future trade, consumption, and service is a new digital employer mode. Therefore, in order to decorate the customary natural environment of operation, it is quintessential to get rid of the preferred desktop in the true field, create a social logistics and transportation administration computing device with commodity agents and distributors as the key features, and mix freight logistics, business enterprise approach waft and data waft advertising and marketing, and advertising and marketing organically. The notion of e-commerce logistics looks (...) alongside the enchantment vogue of neighborhood technological knowledge and social demand. It is an integral part of ending e-commerce authentic economic value. All kinds of cell networks clear up the problem of data flow communication; in the technological know-how of telephone network, digital cost solves the bother of capital flow; at present, logistics is however a long-standing problem of e-commerce. Logistics has grown to be the last and entirely bottleneck of e-commerce. If logistics cannot adapt to the enchantment of e-commerce, it may also additionally lead to the slow enchantment of e-commerce. The purpose of this paper is to supply an Internet of things e-commerce logistics cloud provider platform based totally absolutely on cell communication, which can be combined with e-commerce and beautify the transport tempo of e-commerce. This paper moreover optimizes the e-commerce logistics system, so that it can combine with e-commerce to increase out the distribution of goods, the distribution tempo of e-commerce is doubled, and e-commerce can in a similar fashion develop rapidly. (shrink)

We present a theory of actions based on a theory of events in branching time, in which "particular" or "token" actions are taken to be sets of transitions from their initial states to the outcomes. We also present a simple theory of composition of events by which composite events can be formed out of other events. Various kinds of actions, including instantaneous group actions and sequential group actions, are introduced by way of composition, and an extended stit theory of agency (...) is proposed, in which the stit operators are combined or equipped with reified group actions. (shrink)

This study examines the tensions between the western concept of professional independence and accountants’ commitment to significant others under the care perspective of guanxi. The principle of professional independence is founded on arm’s-length transactions to avoid undue influence on professional and ethical judgement. However, in the relational society of China, social interactions based on Confucianism elicit a duty of care and concern towards significant others in important relationships. For a professional accountant, the commitment to persons with whom they have guanxi (...) is potentially at odds with their commitment to professional independence. Data collected from interviews with Chinese accounting professionals, accounting academics and expatriate accountants working in China provide insight on how Chinese accounting professionals discharge their obligations under guanxi. Notions of guanxi and the rules of exchange identified in Hwang’s (Knowledge and action: A social psychological interpretation of Chinese cultural traditions, Sin-Li, Taipei, 1995) model of “Confucian ethics for ordinary people” provide the lens to explain the ethical dilemmas facing Chinese accountants. The findings suggest that accounting professionals prioritise the interests of their superiors and clients over the users of financial reports. Despite accountants’ moral obligation to protect the public interest, personal and professional obligations in China struggle to extend beyond client or employer interests mostly because of the absence of a formal relationship or connection with the public. This contrasts sharply with the notion of professional independence practised in western societies, where accounting professionals must be independent of their clients and superiors and commit to a duty to protect the public interest. The outcome of this study demonstrates the impediments to transplanting western concepts to different cultures. (shrink)

Trust is of great significance to the economic and social development of a country. In the case of China, the trust of rural women has undergone tremendous changes along with the development of rural areas. It is seen that the trust of rural women has changed from localized to generalized trust, and it is stated that the major factor leading to this transformation is education. To explore the phenomenon empirically, the current study uses the survey data of rural women sourced (...) from China Family Panel Studies over the year 2018. Through the ordered probit model, the study reveals that education plays a significant role in influencing rural women’s generalized trust and localized trust. Through mediation analysis, the study further reveals that reliance on Internet information, access to public resources, and income are the factors mediating the relationship between education and generalized trust. Besides, the outcomes further unveil that the impact of education on localized trust is stronger when the level of mobility is low. For robustness check, the current study additionally employs a regression discontinuity model. The overall findings elucidate that education is the major factor triggering the trust of rural women in China. The findings propose that policymakers in China should imply education-oriented strategies as individuals with higher levels of education are more inclined to trust others. (shrink)

BackgroundIn recent years, some researchers have engaged in scientific misconduct such as fabrication, falsification, and plagiarism to achieve higher research performance. Considering their detrimental effects on individuals’ health status (e.g., patients, etc.) and extensive financial costs levied upon healthcare systems, such wrongdoings have even more salience in medical sciences. However, there has been little discussion on the possible influence of medical researchers’ existing creative performance on scientific misconduct, and the moral psychological mechanisms underlying those effects are still poorly understood.MethodsWe build (...) a moderated mediation model to test how medical researchers’ creative performance affects their scientific misconduct and explore the role of moral licensing and moral identity in this process. Based on situational experiments and projection techniques, 287 medical researchers in China participated in a survey.ResultsMedical researchers’ creative performance positively relates to scientific misconduct, and moral licensing plays a mediating role in the relationship between them. In addition, moral identity has a negative moderating effect on the mediating effect of moral licensing on creative performance and scientific misconduct.ConclusionMoral licensing plays a fully mediating role in the relationship between creative performance and scientific misconduct. And moral identity negatively moderates the indirect effect of creative performance on scientific misconduct through moral licensing. The findings provide theoretical and practical implications for the prevention of medical researchers’ scientific misconduct. (shrink)

This study explores the emergence and productivity of word order usage in Mandarin-speaking typically-developing children and children with autism spectrum disorder, and examines how this emergence relates to frequency of use in caregiver input. Forty-two caregiver-child dyads participated in video-recorded 30-min semi-structured play sessions. Eleven children with ASD were matched with 10 20-month-old TD children and another 11 children with ASD were matched with 10 26-month-old TD children, on expressive language. We report four major findings: Preschool Mandarin-speaking children with ASD (...) produced word order structures with pervasive ellipsis at similar rates to language-matched TD children, but also displayed differences from TD children in their usage of SVt and VtO frames; Grammatical productivity was observed in both TD children and children with ASD; moreover, children with ASD with higher expressive language produced less stereotyped language; Both TD children and children with ASD heard a range of word orders in their caregivers’ input, with TD children’s input greater in amount and complexity; however, caregivers of both groups also showed no age/language-related changes in word order usage; Few word-order-specific correlations emerged between caregivers and their children; however, strong correlations were observed for mean length of utterances for both groups: Caregivers who produced longer/more complex utterances had children who did the same. Taken together, it seems that despite their pragmatic deficits, the early grammatical knowledge of word order in Mandarin-exposed children with ASD is well preserved and in general follows the typical developmental pattern. Moreover, caregiver input is broadly rather than finely tuned to the linguistic development of TD children and children with ASD, and plays a more important role in children’s general syntactic development than in specific word order acquisition. Thus, early word order usage in preschool Mandarin-speaking TD children and children with ASD may be influenced by both caregiver input and child abilities. (shrink)

This study aims to examine how the relationship between intellectual capital and bank profitability changed during COVID-19. Based on the data of 34 Chinese banks and 39 Pakistani banks, this study uses ordinary least squares to examine this relationship during the COVID-19 era. Profitability is measured by return on assets and return on equity, and IC is measured by the value added intellectual coefficient model. The findings show that, even during the COVID-19 pandemic, IC has managed to sustain its positive (...) influence on bank profitability in China and Pakistan. Among IC components, our study reports that human capital is the only IC resource that continues to enhance ROA and ROE of Chinese and Pakistani banks during the pandemic period. Our study suggests that policymakers should pay more attention to IC resources, which has the potential to improve banks’ profitability even during crisis times. (shrink)

This paper studies a simple dynamical system of stock price fluctuation time series based on the rule of stock market. When the stock price fluctuation system is disturbed by external excitations, the system exhibits obviously chaotic phenomena, and its basic dynamic properties are analyzed. At the same time, a new fixed-time convergence theorem is proposed for achieving fixed-time control of stock price fluctuation system. Finally, the effectiveness of the method is verified by numerical simulation.

This paper focuses on performance assessment of a freight network with stochastic capacities by using reliability analysis, in which a node denotes a supplier, a transfer center, a distribution center, or a market, while an arc denotes a logistics service provider offering the freight traffic service for a pair of nodes. Due to some uncertainties in real environment, the available capacity of the provider along each arc is stochastic. Thus, network reliability that at least d units of commodity demand can (...) be successfully delivered from the source to the destination denotes the operational performance of such a freight network. A d-minimal path–based method is developed to evaluate the freight network reliability. To advance the efficiency of solving d-minimal paths, an improved model is established by redefining capacity bounds of arcs and minimal paths. Furthermore, a new concept of expected capacity grounded on network reliability is presented to measure the service performance of the freight network. A practical case related to the coal delivery network is studied to demonstrate the implications of both network reliability and expected capacity. (shrink)

In this paper, the stability of switched neural networks with interval parameter uncertainties and time delays is investigated. First, the conditions for the existence and uniqueness of the equilibrium point of the system are discussed. Second, the average dwell time approach and M-matrix property are employed to obtain conditions to ensure the globally exponential stability of the delayed SNNs under constrained switching. Third, by resorting to inequality technique and the idea of vector Lyapunov function, sufficient condition to ensure the robust (...) exponential stability of the delayed SNNs under arbitrary switching is derived. The form of the constructed Lyapunov functions is simple, which has certain commonality in studying delayed SNNs, and the proposed results not only are explicit but also reveal the relationship between the constrained switching and the arbitrary switching of the SNNs. Finally, two numerical examples are presented to illustrate the effectiveness and less conservativeness of the main results compared with the existing literature. (shrink)

We propose a fast and reliable corner detector that can detect corners under non-uniform illumination and fuzzy mineshaft images effectively. First, we presented an inner mask that used only four pixels to determine the flat and corner regions of an image, which could eliminate unnecessary computation of flat regions, thus reducing computing cost. Second, we separated the corner regions into background and foreground and computed the separate corner threshold to settle non-uniform illumination. Third, we proposed a fast corner-detection algorithm to (...) compute the nucleus continuous contributive segment based on the corner state. Finally, we proposed two effective methods to remove the false corners. Experimental results showed that our approach has a better detection quality and is less time consuming than three other algorithms on an artificial image, a noisy image, and non-uniform images and could meet the real-time requirement of mineshaft applications. (shrink)

With the rapid development of big data, artificial intelligence teaching systems have gradually been developed extensively. The powerful artificial intelligence teaching systems have become a tool for teachers and students to learn independently in various universities. The characteristic of artificial intelligence teaching system is to get rid of the constraints of traditional teaching time and space and build a brand-new learning environment, which is the mainstream trend of future learning. As the carrier of students’ autonomous learning, the artificial intelligence teaching (...) system provides a wealth of learning resources and learning tools on the one hand, and on the other hand, it gradually accumulates more and more learning behaviors, learning status, and other large amounts of data, which is an in-depth study of online learning and provides valuable and generative dynamic resources. Based on relevant researches on domestic and foreign related learning analysis and common big data analysis methods, combined with actual learning evaluation goals, this paper proposes an artificial intelligence teaching system using big data analysis methods and a modeling process framework for online learning evaluation and uses student data to carry out predictive evaluation modeling to evaluate student learning outcomes. The evaluation results can enable teachers to predict whether students can successfully complete the course of learning after a period of teaching. Through the final evaluation, students’ learning problems can be discovered in time based on the evaluation results, and targeted interventions can be made for students who are at risk. The scientific and objective learning evaluation obtained in this study through data analysis can not only provide teachers with relevant information and provide personalized guidance to students, but also improve the adaptive and personalized service functions of the learning platform of the artificial intelligence teaching system, greatly reducing teachers teaching burden. Artificial intelligence teaching evaluation can help educators understand the problems in teaching, adjust teaching strategies in time, and improve teaching results. (shrink)

Architectural aesthetics mainly creates architectural beauty according to the law of beauty and realizes the interaction between creative subject and object, and receptor. Its essence has been soaked and attached to all kinds of materialized carriers and behavioral subjects in the living environment. Through the aesthetic optimization of residential house type, this paper analyzes the ventilation efficiency of representative house type, which affects the prevention and control of community infectious diseases and the physical and mental health of residents. Take multiple (...) measures to strengthen the aesthetic design of residential house type, and promote the healthy development of community ecology and the cultural inheritance of harmonious society. It is helpful for architectural designers to improve their understanding of the effect of natural ventilation and provide reference means for designers to reasonably organize indoor natural ventilation in architectural design. (shrink)

Remote sensing image simulation is a very effective method to verify the feasibility of sensor devices for ground observation. The key to remote sensing image application is that simultaneous interpreting of remote sensing images can make use of the different characteristics of different data, eliminate the redundancy and contradiction between different sensors, and improve the timeliness and reliability of remote sensing information extraction. The hotspots and difficulties in this direction are based on remote sensing image simulation of 3D scenes on (...) the ground. Therefore, constructing the 3D scene model on the ground rapidly and accurately is the focus of current research. Because different scenes have different radiation characteristics, therefore, when using MATLAB to write a program generated by 3D scenes, 3D scenes must be saved as different text files according to different scene types, and then extension program of the scene is written to solve the defect that the calculation efficiency is not ideal due to the huge amount of data. This paper uses POV ray photon reverse tracking software to simulate the imaging process of remote sensing sensors, coordinate transformation is used to convert a triangle text file to POV ray readable information and input the RGB value of the base color based on the colorimetry principle, and the final 3D scene is visualized. This paper analyzes the thermal radiation characteristics of the scene and proves the rationality of the scene simulation. The experimental results show that introducing the chroma in the visualization of the scene model makes the whole scene have not only fidelity, but also radiation characteristics in shape and color. This is indispensable in existing 3D modeling and visualization studies. Compared with the complex radiation transmission method, using the multiple angle two-dimensional image generated by POV rays to analyze the radiation characteristics of the scene, the result is intuitive and easy to understand. (shrink)

The term “epistemic shifts” refers to a widely recognized phenomenon that knowledge ascribers would ascribe different epistemic statuses to the same belief under different internal/external conditions. Mainstream theories explaining shifts can all be assimilated into a probabilistic framework, according to which the epistemic status of a belief P can be at least partially evaluated in terms of the strength of the link between this belief and its normal truth-maker, namely, a P-corresponding fact, and the strength of this link can be (...) further probabilistically measured in terms of the knowledge-undermining force of an “abnormal” truth-maker of P, namely, a P-inducing fact which itself is not a P-corresponding fact simpliciter. I will further claim that by accepting my framework, a theorist of shifts has to tolerate a pluralist view of the etiology of shifts on the philosophical level, and mainstream theories explaining shifts are flawed in the sense that they all attempt to exaggerate one single and particular factor underpinning shifts by ignoring others. (shrink)

In this paper, I propose and defend a solution to Kripke's puzzle about time and thought, which lives in harmony with the axiom schema of separation and does not invoke paraconsistency. I also compare my solution with Parikh's semantic interpretation, and answer to three potential objections.

The classification frameworks for fault diagnosis of rolling element bearings in rotating machinery are mostly based on analysis in a single time-frequency domain, where sensitive features are not completely extracted. To solve this problem, a new fault diagnosis technique is proposed in the mixed domain, based on the crossover-mutation chaotic particle swarm optimization support vector machine. Firstly, fault features are generated using techniques in the time domain, the frequency domain, and the time-frequency domain. Secondly, the weighted maximum relevance minimum redundancy (...) algorithm is adopted to reduce the dimension of the feature set and to establish the representative feature set. Thirdly, a new crossover-mutation strategy is suggested to reduce the local minima in optimization, and an optimization disturbance is added. Finally, the support vector machine is optimized using the improved chaotic particle swarm to improve fault classification diagnosis. The effectiveness of the proposed new bearing fault diagnostic technique is verified by experimental tests under different bearing conditions. Test results showed that the bearing fault classification accuracy of CMCPSO-SVM in the mixed domain was much higher than those in a single feature domain. (shrink)

本书辑录了作者近年来已发表的一些文章,包括:求索时代精神:个人思想历程、语言与哲学:学术研究偶得、现实与虚构:世纪之交的思想文化争论、事实与责任:历史反思等。.