Based on multiteam system theory and creativity theory, this study explores the influencing factor model of multiteam digital creativity in the action phase through two cross-validation studies, filling a theoretical gap and responding to the research call. Study 1 is a qualitative analysis method to fully explore the relevant influencing factors and enhance the theoretical saturation. Study 2 is an optimized DEMATEL method, known as the CL-WG DEMATEL analysis method, which cross-validates the new theoretical model and measures the centrality of (...) the influencing factors. This study finds that the influence factor model of MTDC has eight major factors and distributes in four different levels. Further analysis shows that the three influences with the highest centrality of impact on MTDC all belong to the collective level, which indicates the uniqueness of the action phase of the performance episodes. The two cross-validation studies enhance the scientific validity of the new theoretical exploration. In addition, Theoretical and practical implications of the results are presented, and future directions for research are discussed. (shrink)

Live streaming commerce as a popular marketing method has attracted wide attention, but little is known about why consumers continue to watch live streaming. To fill this research gap, this study draws on social presence theory to examine the impact of sense of community, emotional support, and interactivity on viewers’ social presence, which, in turn, influences their live streaming watching. Furthermore, the moderating role of streamer attractiveness is also investigated. The authors collected survey data from 386 live streaming viewers and (...) used the structural equation model to test the research model. The results reveal that sense of community, interactivity, and emotional support positively affects viewers’ social presence, leading to viewers’ watching live streaming. Furthermore, streamer attractiveness plays a significant moderating role between social presence and live streaming watching. This study provides a unified theoretical framework to explain the intention to watch live streaming based on social presence theory. (shrink)

In _Animacies_, Mel Y. Chen draws on recent debates about sexuality, race, and affect to examine how matter that is considered insensate, immobile, or deathly animates cultural lives. Toward that end, Chen investigates the blurry division between the living and the dead, or that which is beyond the human or animal. Within the field of linguistics, animacy has been described variously as a quality of agency, awareness, mobility, sentience, or liveness. Chen turns to cognitive linguistics to stress (...) how language habitually differentiates the animate and the inanimate. Expanding this construct, Chen argues that animacy undergirds much that is pressing and indeed volatile in contemporary culture, from animal rights debates to biosecurity concerns. Chen's book is the first to bring the concept of animacy together with queer of color scholarship, critical animal studies, and disability theory. Through analyses of dehumanizing insults, the meanings of queerness, animal protagonists in recent Asian/American art and film, the lead in toys panic in 2007, and the social lives of environmental illness, _Animacies_ illuminates a hierarchical politics infused by race, sexuality, and ability. In this groundbreaking book, Chen rethinks the criteria governing agency and receptivity, health and toxicity, productivity and stillness—and demonstrates how attention to the affective charge of matter challenges commonsense orderings of the world. (shrink)

Consumers have subjective psychological expectations of the quality and brand of products before purchasing. There is a certain tolerance for products that do not meet expectations. The discomfort caused by tolerance can be smoothly carried out through “reasonable” self-comfort and explanation mechanisms. Based on the theory of rationalization defense mechanism, a 2 × 2 purchase channel matrix of online and offline purchase, online consultation, and the offline experience was constructed to explore the influence of consumers’ tolerance of product quality and (...) brand on their purchase channel choice. The results show that: consumer product tolerance positively influences consumers’ online purchasing choice; consumer product tolerance influences purchase channel choice through rationalization; and the sweet lemon mechanism mediates consumer product tolerance on online consultation and online purchase and offline experience, but the sour grapes mechanism does not mediate. (shrink)

Novelty seeking is regarded as a core feature in substance use disorders. However, few studies thus far have investigated this feature in problematic Internet pornography use. The main aim of the present study was to examine group differences in electrophysiological activity associated with novelty processing in participants with high tendencies toward PIPU vs. low tendencies using event-related potentials. Twenty-seven participants with high tendencies toward PIPU and 25 with low tendencies toward PIPU completed a modified three-stimulus oddball task while electroencephalogram was (...) recorded. Participants were instructed to detect neutral target stimuli from distracting stimuli. The distracting stimuli contained a familiar sexual stimulus and a set of novel sexual stimuli. The novel-familiar difference waves were calculated to identify specific group difference in novelty effect. While both groups demonstrated a sustained novelty effect in the late positive potential within the 500–800 ms time windows, the novelty effect was greater in the high tendencies toward PIPU group than in the low tendencies toward PIPU group. This result suggests that individuals with high tendencies toward PIPU allocate more attentional resources for novelty processing. Enhanced brain responding to novel sexual stimuli may facilitate pornographic consumption and play an essential role in the development and maintenance of PIPU. (shrink)

This study examines the relation between firms’ corporate philanthropic giving and their performance in three other social domains – employee relations, environmental issues, and product safety. Based on a sample of 384 U.S. companies and using data pooled from 1998 through 2000, we find that worse performers in the other social areas are both more likely to make charitable contributions and that the extent of their giving is larger than for better performers. Analyses of each separate area of social performance, (...) however, indicate that the relation between giving and negative social performance (cited concerns) only holds for the environmental issues and product safety areas. We find no significant association between corporate philanthropy and employee relations concerns. In general, these findings suggest that corporate philanthropy may be more a tool of legitimization than a measure of corporate social responsibility. (shrink)

The purpose of the present study was to explore the direct influence of self-concept and self-imagination on English language learning outcomes. Furthermore, this study examined the mediating role of self-efficacy in the relationship between self-concept, self-imagination, and ELLO. A survey questionnaire of 21 items was used in this study. We distributed the questionnaire through QR code and collected the data from 2,517 participants who enrolled in blended learning courses at the undergraduate level in Chinese universities. The relationship among the variables (...) was measured through SmartPLS-SEM 3.3.3. The outcomes of the present study indicated a direct, positive, and significant connection of self-concept, self-imagination, and self-efficacy with ELLO. Looking at indirect influences, self-concept and self-imagination, positive and significant, influence ELLO through self-efficacy. Thus, self-efficacy was indicated to play a mediating role between self-concept, self-imagination and ELLO. We can conclude that self-concept, self-imagination, and self-efficacy are the main predictors of ELLO in blended learning courses during the pandemic. Additionally, self-concept and self-imagination along with the intervening role of self-efficacy, play a more effective role in improving ELLO. Moreover, this study provided some useful, practical implications, and future research directions. (shrink)

This paper is about the epistemology of quantum theory. We establish a new result about a limitation to knowledge of its central object---the quantum state of the universe. We show that, if the universal quantum state can be assumed to be a typical unit vector from a high-dimensional subspace of Hilbert space (such as the subspace defined by a low-entropy macro-state as prescribed by the Past Hypothesis), then no observation can determine (or even just narrow down significantly) which vector it (...) is. Typical state vectors, in other words, are observationally indistinguishable from each other. Our argument is based on a typicality theorem from quantum statistical mechanics. We also discuss how theoretical considerations that go beyond the empirical evidence might bear on this fact and on our knowledge of the universal quantum state. (shrink)

ABSTRACTThe current scales for self-blame are not suitable for school bullying scenarios and most lack validity. This study used a self-developed scale to measure bullied victims’ tendency to self-...

The study of matching degree between energy equipment manufacturing and market demand is crucial for energy enterprises to adjust business strategies, expand market share, and develop sustainably. Considering that the current electricity market evaluation indicators are rarely selected from a global perspective and a single evaluation method may lead to one-sided results, this article takes the technology and equipment related to electric energy as the research object and selects six indicators, including technical standards, qualification certification, export methods, after-sales service, market (...) concentration, and product concentration. By analyzing the supply and demand characteristics of major global regional markets and the situation of Chinese power enterprises in these markets, we propose matching model cluster including osculating value method, rank-sum ratio method, ideal point method, entropy value method, and efficacy coefficient method to conduct the matching degree study. The results show that the overall market matching degree of Chinese power companies is good, especially in Southeast Asia, Central Asia, and Africa. For markets with a low degree of matching, we analyze the reasons based on the matching indicators values to provide companies with corresponding strategies and recommendations. (shrink)

Informal coercive tactics play an important role in maintaining political and social order in authoritarian regimes today, a fact variously attributed to the state’s incapacity to monopolize coercive force and to the strategic concealment of repression from international society. Studying the coercive tactics used by the Chinese government, this article directs attention to how state institutions and strategies create incentives for state agents to delegate coercion to third parties. In particular, this article recognizes the importance of Chinese leaders’ traditional preference (...) to rely on third parties rather than formal state force for social control, and also the impressive improvements in the institutionalization of state coercion after the start of extensive legal reforms in the late 1970s. More important, however, is the multilayered and decentralized state structure that creates tight constraints on local officials and therefore motivates them to use informal coercion. The state structure in China is conducive to informal coercion in two ways. First, when local officials pursue local or private interests that diverge from central interests, informal coercion helps them overcome procedural barriers and avoid scrutiny from above. Second, although central and other upper authorities tend to restrict local officials’ use of force, they often exert considerable pressure on local authorities to fulfill various tasks that require strong coercion. Such conflicting or unfunded mandates have frequently prompted the use of informal coercive tactics. This study highlights the difficulty of holding local government officials accountable with formal institutions in China. (shrink)

Multi-person pose estimation is a challenging problem. Bottom-up methods have been greatly studied because the prediction speed of top-down methods is related to the number of people in the input image, making these methods difficult to apply in real-time environments. To solve the problems of scale sensitivity and quantization error in bottom-up methods, it is necessary to have a model that can predict multi-scale keypoints and refine quantization error. To achieve this, we propose context feature and refined network for multi-person (...) pose estimation (CRNet), which can effectively solve the problems of scale sensitivity and quantization error in bottom-up methods. We use a multi-scale feature pyramid and context feature to achieve scale invariance of the network. We extract global and local features and then fuse them by attentional feature fusion (AFF) to obtain context feature that adapt to multi-scale keypoints. In addition, we propose an efficient refined network to solve the problem of quantization error and use multi-resolution supervised learning to further improve the prediction accuracy of CRNet. Comprehensive experiments are conducted on two benchmarks: COCO and MPII datasets. The average precision of CRNet reached 72.1 and 80.2%, respectively, surpassing most state-of-the-art methods. (shrink)

This work aims to explore the application of deep learning-based artificial intelligence technology in sentencing, to promote the reform and innovation of the judicial system. First, the concept and the principles of sentencing are introduced, and the deep learning model of intelligent robot in trials is proposed. According to related concepts, the issues that need to be solved in artificial intelligence sentencing based on deep learning are introduced. The deep learning model is integrated into the intelligent robot system, to assist (...) in the sentencing of cases. Finally, an example is adopted to illustrate the feasibility of the intelligent robot under deep learning in legal sentencing. The results show that the general final trial periods for cases of traffic accidents, copyright information, trademark infringement, copyright protection, and theft are 1,049, 796, 663, 847, and 201 days, respectively; while the final trial period under artificial intelligence evaluation based on the restricted Boltzmann deep learning model is 458, 387, 376, 438, and 247 days, respectively. The accuracy of trials is above 92%, showing a high application value. It can be observed that expect theft cases, the final trial period for others cases has been effectively reduced. The intelligent robot assistance under the restricted Boltzmann deep learning model can shorten the trial period of cases. The deep learning intelligent robot has a certain auxiliary role in legal sentencing, and this outcome provides a theoretical basis for the research of artificial intelligence technology in legal sentencing. (shrink)

Software development is an iterative process from designing to implementation, and to testing, in which product development staff should be closely integrated with users. Satisfying user needs effectively is often the pain point for developers. In order to alleviate this, this paper manages to establish the quantitative connection between users' online reviews and APP downloads. By analyzing user online comments, companies can dig out user needs and preferences. This could benefit them by making accurate market positioning of their APP products, (...) and therefore iteratively innovating products based on user needs, which hopefully will increase the volume of APP downloads. This paper regards WeChat APP during 47 updates periods as the research object. Based on Grounded Theory, user needs are extracted after data cleaning. Next, by using semantic analysis and word frequency analysis, we are able to obtain the implicit feedbacks such as emotion tendency, satisfaction and requirements lie under online reviews. Then, we construct a quantile regression model to study the impact of users' online reviews on downloads based on the influencing factors we extracted so as to provide a decision basis for enterprises to iteratively update their products. Results show that: Generally speaking, needs of WeChat users mainly focus on performance, reliability, usability, functional deficiency, functional insufficiency, and system adaptability; For those APP versions with relatively fewer downloads, user needs are mostly about functional deficiency, followed by functional insufficiency, performance, usability, and system adaptability. At this stage, it is found out that users' emotion tendency and user satisfaction significantly affect the volume of downloads; When the volume of APP downloads is moderate, the user needs are functional deficiency, functional insufficiency, and system adaptability. While under this circumstances, users' star ratings have a significant impact on downloads; In addition, when the volume of App downloads is high, user needs are performance, usability, and system adaptability. Our methods effectively extract users' requirements from online reviews and then successfully build up the quantitative connection between the implicit feedbacks from those requirements and APP downloads. (shrink)

Integrated design of financial self-service terminal based on artificial intelligence voice interaction with the rapid development of science and technology, artificial intelligence technology is deepening in the field of intelligence and automation. The financial industry is the lifeblood of a country’s economy, with great growth potential and high growth rate. The integrated design of intelligent financial self-service terminal has become an important topic in the field of rapid development of social economy and science and technology. Therefore, this paper designs the (...) integration of financial self-service terminal based on artificial intelligence voice interaction. First, this paper introduces the meaning and composition of financial self-service terminal integration, then studies the voice interaction principle based on artificial intelligence technology, and designs the integrated structure of financial self-service terminal with voice interaction. After that, this paper makes a series of tests on voice interaction technology, user experience, and the performance of financial self-service terminal. Finally, the test results of voice interaction are as follows: the delay estimation results of voice interaction of the terminal are relatively accurate, and the error points are basically within five sampling points, which indicate that the delay estimation algorithm is practical. The endpoint detection method based on CO complexity can effectively overcome the impact of noise environment on speech endpoint detection system and is suitable for the requirements of robust speech recognition system. Considering that the actual application scenario of voice positioning can judge the speaker’s position and turn to the speaker’s direction during human–computer interaction, the azimuth error is acceptable within a few degrees to meet the application requirements. The direction angle error is acceptable within a few degrees to meet the application requirements. The accuracy of the improved algorithm is improved in intercepting effective speech signals. The terminal has short running time and delay time, small memory, and central processing unit occupation and can meet the needs of users. The speech recognition accuracy of the financial self-service terminal basically reaches more than 80%, which can basically meet the daily needs. (shrink)

Previous studies have focused on individuals learning from observing a model to be able to produce the modeled behavior. However, there is a lack of studies emphasizing the perspective of being observed to understand the role of perceived value and stress when teachers act as a teaching model. To address this gap, the present study explored the correlates between teachers’ teaching beliefs, perceived value, psychosocial stress, and continuous intention to be the observed teaching model in classroom observations. Data of 349 (...) respondents were usefully collected, and confirmatory factor analysis with structural equation modeling was performed. Results showed that teachers’ constructivist belief in teaching was positively related to perceived value of being observed and getting feedback, but was negatively related to psychosocial stress. Perceived value was positively related to continuous intention to be observed in future classroom observations, but perceived psychosocial stress was not significantly related to continuous intention. The results of this study can be applied to encourage those who are resistant to presenting their teaching experience in classroom observations. (shrink)

Mass media has a significant impact on public support for the government. This manuscript constructs a mixed model with official media use as the moderating variable and government trust as the intermediary variable to explore the mechanism of how unofficial media use affects system confidence, using data from a survey of the political and social attitudes of netizens. The study finds that official media use weakens the negative role of unofficial media use in building system confidence, with the intermediary variable (...) of government trust creating the necessary conditions for weakening the effect of unofficial media use. Moreover, the effect of unofficial media use on system confidence is heterogeneous. These findings remind us that it is necessary to deepen research into the micromechanisms that explain how unofficial media use reduces system confidence, a task for which cognitive theory is well suited. (shrink)

Culture is not a constant and unchanging entity. It is the process and entirety of change in time and space. Hence, at any time, culture is in motion and, in this sense, the historical course of China's culture throughout the twentieth century may be said to have been an enormous process of cultural movement. However, the term "cultural movements," as generally discussed, always refers to a specific socio-cultural process that takes place and ends within a given time and space, possesses (...) definite conceptual connotations and orientations and, especially, is made up of the cultural activities of intellectuals and has considerable scale and influence. Judged by this standard, China's cultural history in the twentieth century is filled with various cultural debates and phenomena that go under the name of "movements." The only cultural movements that may be said to have gone beyond regional and local boundaries are the New Culture movement, which occurred around the time of the May Fourth movement, and the Culture Heat that swept mainland China in the 1980s. (shrink)

This study addresses the problem of output quasisynchronization for coupled complex-valued memristive reaction-diffusion complex networks via the distributed event-triggered control scheme. First, by using the separate method, set value mapping, and intermediate value theorem, the complex-valued memristive reaction-diffusion complex networks can be transferred into two semi-uncertain real-valued reaction-diffusion complex networks. Second, a distributed output piecewise event-triggered control scheme with spatial sampled-data is first proposed including a spatial sampling event-triggered generator and spatiotemporal sampling state feedback controller. Furthermore, this scheme can effectively (...) save the measurement resources and lower the update rate of controllers in spatial and time domain. Third, the synchronization analysis is considered by utilizing an appropriate Lyapunov function, the Halanay inequality, and the improved Wirtinger inequality. Subsequently, several output event-triggered quasisynchronization criteria are derived. The relations among event trigger conditions, spatial sampling interval, convergence rate, and control gain are given by rigorous mathematical derivation. Finally, multiple simulations are compared to substantiate the validation of the OPETC scheme. (shrink)

One heated argument in recent years concerns whether requiring real names supervision on social media will inhibit users' participation in discoursing online speech. The current study explores the impact of identification, perceived anonymity, perceived risk, and information credibility on participating in discussions on moral/ethical violations event on social network sites (SNS) in China. In this study, we constructed a model based on the literature and tested it on a sample of 218 frequent SNS users. The results demonstrate the influence of (...) identification and perception of anonymity: although the relationship between the two factors is negative, both are conducive to participation in discussion on moral/ethical violation topics, and information credibility also has a positive impact. The results confirmed the significance of risk perception on comments posted about moral/ethical violation. Our results have reference value for identity management and internet governance. Policies regarding users’ real names on the internet need to take into account the reliability of the identity authentication mechanism, as well as netizens’ perceptions of privacy about their identity and the necessity of guaranteeing content and information reliability online. We also offer some suggestions for future research, with a special emphasis on applicability to different cultures, contexts, and social networking sites. (shrink)

This qualitative research focuses on Dong's Wind and Rain Bridges in Chengyang Bazhai in Liuzhou, China. This research explores the academic issue of public space and meaning change in the process of minority development, through the Dong's Wind and Rain Bridges phenomenon. The findings of this research are that public space in all societies in the world is a fusion of space production and meaning and constructs identity and social relations. It has changed in the context of the times and (...) has produced new functions for different groups of people, constantly generating new meanings superimposed on the old meanings. As an important public space in the community, Dong's Wind and Rain Bridges include the physical space production of the surrounding area and the social and mental space production of the Dong ethnic group, emphasizing the close relationship between "space production" and "ethnic identity". In the process of minority development in China, the use of the wind and rain bridge's public space has changed socially, responding to the new needs of different groups. It, therefore, has been constantly undergoing "meaning change". (shrink)

Ethiopian Jewish immigrants in Israel are one of the most ancient communities in the world, one that has been detached from the known Jewish world for about 2,500 years. Throughout this very long period of isolation, the Ethiopian Jewish community maintained Jewish tradition and dreamed over the centuries to unite with the rest of the Jewish world and immigrate to the Jewish state—Israel. But this transition occurred within a short time from an agrarian society in Ethiopia (traditional culture) with an (...) oral culture to a knowledge society in Israel (modern culture) with a written culture. Most studies that examine cultural transition focus on anthropological, sociological, and cultural aspects; but there are nearly no studies that examine the technological knowledge of non-literate populations. The purpose of this study is to examine and characterize technological knowledge among this population—the case of Ethiopian non-literate immigrants in Israel. The study involved in-depth interviews to examine technological knowledge through using technological appliances in their everyday life, assembly of two simple technological systems, and a home technology profile compared to the general population in Israel. Participants included 50 non-literate Ethiopian immigrants between the ages of 40–60. The results of our study are surprising in that we have shown that non-literate immigrants adapt to a technology-rich environment at an average degree with respect to the general population in Israel. Also, comparing technological knowledge between traditional and modern cultures shows participants’ wide range of knowledge without ability to read and write. Illiteracy does not preclude the development of knowledge in general, technological knowledge particularly, and does not prevent non-literate populations from acquiring knowledge in a new environment. (shrink)

Owing to the COVID-19 pandemic, working from home promotes the importance of indoor environment qualities. With the settings and functions of home offices, an experiment was carried out to determine the interaction effects between indoor plants and traffic noise levels on the performance and environmental evaluations of English reading comprehension tasks and the performance of short-term breaks. A sample of 22 Chinese university students took part in the experiment. Two visual conditions and five TNLs were included. Participants’ accuracy rates, eye (...) movements, mental workload, and feelings about the environment were collected. The mental fatigue recovery, visual fatigue recovery, anxiety recovery, and unfriendly recovery were measured for the analysis of a 5-min short-term break. The results demonstrate plants have significant effects on ERCTs and short-term breaks, especially at 45 and 50 dBA TNL; the effects of TNLs on ERCTs’ eye movements and work environment satisfaction differ by the presence of plants, e.g., the average pupil diameter, lighting and layout satisfaction; The effects of indoor plants on ERCT differ by the range of TNLs. In conclusion, indoor plants are beneficial to home workers engaged in ERCT when TNL does not exceed 50 dBA. The current data highlight the importance of audio-visual interaction in home offices and provide insights into the interaction mechanism between indoor plants and traffic noise. (shrink)

In this study, we are concerned with how agents can best amalgamate their private information about a binary state of Nature. The agents are heterogeneous in their “ability”, the quality of their private information. The agents cannot directly communicate their private information but instead can only vote between the two states. We first describe possible methods of sequential majority voting, and then we analyze a particular one: the first n-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n-1$$\end{document} jurors vote (...) simultaneously and, in the case of a tie, the remaining juror has the casting vote. We prove that when n=3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n=3$$\end{document}, the probability of a correct verdict is maximized when the agent of median ability has the casting vote. (shrink)

张岂之先生毕生从事中国思想史的研究与教学, 为中国思想史学科的发展倾注了大量心血. 七月中旬, 来自全国各地的一百余位学者, 在西安就先生最关心的中国思想史研究事业进行回顾总结.

In the recent years, gesture recognition based on the surface electromyography (sEMG) signals has been extensively studied. However, the accuracy and stability of gesture recognition through traditional machine learning algorithms are still insufficient to some actual application scenarios. To enhance this situation, this paper proposed a method combining feature selection and ensemble extreme learning machine (EELM) to improve the recognition performance based on sEMG signals. First, the input sEMG signals are preprocessed and 16 features are then extracted from each channel. (...) Next, features that mostly contribute to the gesture recognition are selected from the extracted features using the recursive feature elimination (RFE) algorithm. Then, several independent ELM base classifiers are established using the selected features. Finally, the recognition results are determined by integrating the results obtained by ELM base classifiers using the majority voting method. The Ninapro DB5 dataset containing 52 different hand movements captured from 10 able-bodied subjects was used to evaluate the performance of the proposed method. The results showed that the proposed method could perform the best (overall average accuracy 77.9%) compared with decision tree (DT), ELM, and random forest (RF) methods. (shrink)

The structure of Au layers deposited by sputtering on oxidized p-type Si substrates is investigated by a combination of scanning electron microscopy and scanning probe microscopy. The effect of the temperature on the grain structure of the layers has been determined, revealing that an annealing temperature of 300° C results in a larger grain size and smoother surfaces but generates some cracks in the film surface. At an annealing temperature of 500° C, further grain growth is observed, but a high (...) density of cracks and voids also results while there is little enhancement regarding the smoothness of the grain surfaces. (shrink)

We design and implement an intelligent IoT-based motion monitoring system to realize the monitoring of three important parameters, namely, the type of movement, the number of movements, and the period of movement in physical activities, and optimize the system to support the simultaneous use by multiple users. Considering the motion monitoring scenario for smart fit, the framework of an IoT-based motion monitoring system is proposed. The framework contains components such as active acquisition nodes, wireless access points, data processing servers, and (...) terminals. In terms of algorithm optimization, research related to active pattern recognition and periodic calculation methods is conducted. For active pattern recognition, two types of classification algorithms with different complexity are proposed based on Support Vector Machine and deep neural networks, respectively, to adapt to scenarios with different computational capabilities. For period calculation, a method based on over-zero detection and wavelet transform is proposed to count the number of actions and calculate the period of each action. In 100 times action cycle calculation experiments, the count statistic calculation method achieves 100% calculation accuracy and the active cycle calculation results are close to the real value, which proves the effectiveness of the cycle calculation method. The system provides a multiuser-oriented communication method and realizes accurate and reliable human movement monitoring, which has a wide application prospect in the fields of physical education and rehabilitation training. (shrink)

This paper examines the conceptions of logic from Leibniz, Hume, Kant, Frege, Wittgenstein and Ayer, and regards the six philosophers as the representatives of logical exceptionalism. From their standpoints, this paper refines the tenets of logical exceptionalism as follows: logic is exceptional to all other sciences because of four reasons: (i) logic is formal, neutral to any domain and any entities, and general; (ii) logical truths are made true by the meanings of logical constants they contain or by logicians' rational (...) insight to consequence relations; (iii) logical truths are analytical, a prior and necessary, so not‐revisable; and (iv) logical laws are normative for how to correctly think. However, logical exceptionalism has encountered difficult open problems: What are logical constants? How to justify basic laws of logic? How are logical laws accessible to us? How to explain the reasonability of rival logics and select from them? How to explain the universal applicability of logical laws? How to explain the normativity of logical laws for correct thinking? This paper concludes that logical anti‐exceptionalism is more hopeful to successfully answer these questions than logical exceptionalism. (shrink)