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Previous studies suggested that culture have impact on students' mathematics achievement and subjective wellbeing, but few investigated the effects of culture on the balance between them. Drawing on Hofstede's cultural dimensions theory, this study investigated the effects of culture on balance between students' mathematics achievement and subjective wellbeing. Results showed the significant effects of cultural dimensions of long-term orientation vs. short-term orientation and indulgence vs. restraint. Students from countries of high long-term orientation and low indulgence culture were more likely to (...) get both high mathematics achievement and high SWB. Besides, wealth-related variables and gender were also found to influence the odds ratio of balance. The findings confirmed the effects of national culture on the balance between mathematics achievement and SWB. Based on the findings, this study discussed the effects of long-term orientation and restraint culture and Confucian heritage culture's potential benefit. The results indicate that mathematics educators should consider cultural differences in educational practice and stress the importance and meaning of mathematics learning. (shrink)

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‘Ethics first’ reform in China significantly changes the governance framework for the research of emerging technologies. The misapplication of human genome editing technology reflects the urgent need to reform the governance framework. Strengthening ethics governance in medical research has become a consensus in China, where legal and ethical reforms are proceeding in parallel. The protection of human dignity, the prevention of biosafety risks, as well as the regulation of technological crimes are at the core of the legal system, which has (...) been embodied in numerous fundamental legislations following the CRISPR-babies incident. Establishing a national ethics committee to coordinate ethics governance, and reinforcing ethics review and external oversight are significant steps in ethical reform. Essentially, ethics governance requires implementing the basic concept of ‘ethics first’, focusing on forward-looking and preventive governance rather than delayed intervention, while maintaining openness and collaboration. (shrink)

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This study investigates the impact of entrepreneurship education on college students’ entrepreneurial intentions, as well as the moderating effects of personality and family economic status on the relationship between entrepreneurship education and entrepreneurial intention, respectively. We tested our hypotheses using a sample of college students in Tianjin, China, and analyzed the data of 326 questionnaires containing validated measures. The results show that entrepreneurship education has a positive impact on college students’ entrepreneurial intentions; proactive personality negatively moderates this relationship; and family (...) economic status positively moderates it. However, the moderating effect of narcissistic personality has not been verified. This study is unique and innovative as it brings new insights to this stream of literature by introducing the roles of the personality and family economic status in the relationship between entrepreneurship education and entrepreneurial intention. Our analysis provides important empirical evidence about the negative moderating effect of proactive personality and the positive moderating effect of family economic status on the relationship between entrepreneurship education and entrepreneurial intention, introducing insights into the heterogeneity of the effect of entrepreneurship education. (shrink)

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Cross-sector relationship building is an important strategy in corporate social responsibility initiatives, and communicating cross-sector relationships on social media can help raise the visibility of collaborative relationships. A noticeable gap in the literature is how social media enables and constrains the formation patterns of cross-sector connections. To understand how businesses communicate their relationships with government agencies and nonprofits about social issues on social media, we propose a theoretical framework that centers public attention as a critical resource and considers different sectors' (...) interests in the COVID-19 issue. We tested this framework with a nationally representative sample of 1,980 organizations on Twitter. The analysis reveals that the increase in public attention to the COVID-19 issue was accompanied by a greater likelihood of cross-sector ties. Specifically, firms severely affected by COVID-19 were more likely to build ties with government agencies, and the increase in public attention also drove firms to build more ties with nonprofits, especially advocacy nonprofits. Our findings suggest managers of social media communication should observe the volatile public attention and design communicative strategies accordingly. (shrink)

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The rapid worldwide spread of COVID-19 forced many countries to enforce complete lockdown and strict quarantine policies. The strict lockdown and quarantine affect the psychological state of people toward cryptocurrency. The current research aims to examine the effect of COVID-19 on Bitcoin prices concerning cumulative deaths and confirmed cases. The research comprises daily data from January 20, 2020, to April 30, 2020, during the initial worldwide breakout of COVID-19. This research employed the augmented Dickey-Fuller test to check the stationarity of (...) data, the co-integration test for the interdependency of variables, and the vector error correction model for identifying the direction and long or short-run relationship between Bitcoin prices and COVID-19. The research results show that Bitcoin prices are negatively significant and related to COVID-19 in the short-run. A unidirectional relationship between Bitcoin prices and cumulative deaths is also observed. Investors and the public’s psychological state were positively significant to Bitcoin prices in the long-term because of cashless transactions, unbanked, and less risky virus traveling. The second reason behind the positive psychological relation is un-centralization and easy-to-make payments by Bitcoin. This study’s finding provides timely evidence to decision-makers on Bitcoin price volatility and its impacts on the public’s psychological states regarding COVID-19. (shrink)

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Frida Kahlo (1907–1954) was a Mexican artist who is remembered for her self-portraits, pain and passion, and bold, vibrant colors. This work aims to use her life story and her artistic production in a longitudinal study to examine with quantitative tools the effects of physical and emotional pain (rage) on artistic expression. Kahlo suffered from polio as a child, was involved in a bus accident as a teenager where she suffered multiple fractures of her spine and had 30 operations throughout (...) her lifetime. She also had a tempestuous relationship with her painter husband, Diego Rivera. Her physical and personal troubles however became the texture of her vivid visual vocabulary—usually expressed through the depiction of Mexican and indigenous culture or the female experience and form. We applied color analysis to a series of Frida's self-portraits and revealed a very strong association of physical pain and emotional rage with low wavelength colors (red and yellow), indicating that the expression of her ailments was, consciously or not, achieved by increasing the perceived luminance of the canvas. Further quantitative analysis that used the fractal dimension identified “The broken column” as the portrait with higher compositional complexity, which matches previous critical acclaim of this portrait as the climax of her art. These results confirm the ability of color analysis to extract emotional and cognitive features from artistic work. We suggest that these tools could be used as markers to support artistic and creative interventions in mental health. (shrink)

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This paper presents a human–robot interaction framework where a robot can infer implicit affective cues of a human and respond to them appropriately. Affective cues are inferred by the robot in real-time from physiological signals. A robot-based basketball game is designed where a robotic “coach” monitors the human participant’s anxiety to dynamically reconfigure game parameters to allow skill improvement while maintaining desired anxiety levels. The results of the above-mentioned anxiety-based sessions are compared with performance-based sessions where in the latter sessions, (...) the game is adapted only according to the player’s performance. It was observed that 79% of the participants showed lower anxiety during anxiety-based session than in the performance-based session, 64% showed a greater improvement in performance after the anxiety-based session and 71% of the participants reported greater overall satisfaction during the anxiety-based sessions. This is the first time, to our knowledge, that the impact of real-time affective communication between a robot and a human has been demonstrated experimentally. (shrink)

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The interaction between cavity modes and optical transitions leads to new coupled light-matter states in which the energy is periodically exchanged between the matter states and the optical mode. Here we present experimental evidence of optical strong coupling between modes of individual sub-wavelength metamaterial nanocavities and engineered optical transitions in semiconductor heterostructures. We show that this behaviour is generic by extending the results from the mid-infrared to the near-infrared. Using mid-infrared structures, we demonstrate that the light-matter coupling occurs at the (...) single resonator level and with extremely small interaction volumes. We calculate a mode volume of 4.9 × 10 from which we infer that only ~2,400 electrons per resonator participate in this energy exchange process. (shrink)

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The role of other-directed moral emotions (e.g. anger) in constructing leadership ethics is well-discussed, yet the effects of leaders expressing self-directed moral emotions remain under-explored. This paper focuses on guilt, a typical self-conscious moral emotion, to investigate the interpersonal prosocial impact of a leader’s guilt expression. Drawing from the emotion as social information theory, we propose that a leader’s guilt expression can enhance followers’ forgiveness and organizational citizen behaviors by evoking followers’ moved emotions and delivering the leader’s benevolence information. Additionally, (...) we examine the moderating role of the quality of leader–member exchange in these effects. Our results, obtained through a two-wave field survey (Study 1), a critical incident technique experiment (Study 2), and a scenario experiment (Study 3), provide support for most of our hypotheses. Our research contributes to the EASI theory and literature on emotions and provides practical guidance on leader emotional management. (shrink)

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陈沛霖(1934~ ),湖南株洲人,华中师范大学教育系心理学副教授、基础心理学教研室主任,湖北省心理学会副理事长、省社科联委员.

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The research expects to explore the psychological mobilization of innovative teaching methods of Music Majors under the new curriculum reform. The relevant theories of college students’ innovative teaching methods are analyzed under deep learning together with the innovation and construction of music courses. Thereupon, college students’ psychological mobilization is studied. Firstly, the relationship between innovation and entrepreneurship teaching and deep learning is obtained through a literature review. Secondly, the music classroom model is designed based on the deep learning theory, and (...) the four dimensions of the music curriculum are defined to innovate and optimize the music teaching model. Finally, the Questionnaire Survey is used to analyze the design classroom model. Only 15% of the 180 respondents understand the concept of deep learning, 32% like interactive music learning, and 36% like competitive comparative music classroom learning. And the students who study instrumental music have higher significant differences in learning motivation than those who study vocal music. In addition to classroom learning, 16% of people improve their music skills through music equipment. College students like interactive music classes and competitive comparison classes that can give more play to their subjective initiative. After the new curriculum reform, the music curriculum based on deep learning can stimulate students’ interest in learning and participate in the mobilization of students’ learning psychology. Therefore, in the future of music education and teaching, there is a need to pay more attention to students’ psychological status. The research results can provide references and practical significance for the innovative teaching activities of music classrooms after the new curriculum reform. (shrink)

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According to the conflict monitoring hypothesis, conflict monitoring and inhibitory control in cognitive control mainly cause activity in the anterior cingulate cortex and control-related prefrontal cortex in many cognitive tasks. However, the role of brain regions in the default mode network in cognitive control during category induction tasks is unclear. To test the role of the ACC, PFC, and subregions of the DMN elicited by cognitive control during category induction, a modified category induction task was performed using simultaneous fMRI scanning. (...) The results showed that the left middle frontal gyrus and bilateral dorsal ACC/medial frontal gyrus were sensitive to whether conflict information appears, but not to the level of conflict. In addition, the bilateral ventral ACC, especially the right vACC, a part of the DMN, showed significant deactivation with an increase in cognitive effort depending on working memory. These findings not only offer further evidence for the important role of the dorsolateral PFC and dorsal ACC in cognitive control during categorization but also support the functional distinction of the dorsal/ventral ACC in the category induction task. (shrink)

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This paper mainly introduces the application of immersive media in Chinese public cultural participation from the perspective of cultural education, as well as the important value of the application of immersive media in expanding the breadth, accuracy, and depth of education and thereby improving the quality of education. On this basis, the realistic path of the role of immersive media technology in further realizing public cultural participation is discussed. First of all, through a questionnaire survey, it analyzes the problems existing (...) in Chinese public cultural participation from the perspective of cultural education and the application of immersive media in Chinese public cultural participation. Secondly, from the aspects that the application of immersive media can extend the space of cultural participation, enrich the content of cultural participation and strengthen the value recognition of cultural participation, it demonstrates that immersive media helps to solve the dilemma of Chinese public cultural participation as a whole and thus improve the quality of education. This will bring new possibilities for expanding Chinese public cultural participation and promoting public social education and cultural quality education. Finally, it discusses the further development of immersive media technology in the field of cultural education from the aspects of optimizing the ecology of immersive media development, promoting the R&D and application of immersive media technology, and promoting the integration of immersive media with cultural participation space and cultural education content. (shrink)

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In studies investigating the property value enhancements along metro lines, study ranges in most cases are measured in Euclidean distance. However, city roads are not always straight, and Euclidean distance sometimes does not equal to actual distance the passenger travels from the public transport station to their home or a commercial spot. To solve this problem, this study analyzed the indicators affecting commercial property value in metro station accessible area in Xi’an, using walking time consumption in measuring the study range. (...) Following a conceptual framework, considering empirical evidences in related studies, information in city structure, and metro distribution, the initial indicator set is built. Using hedonic price model, spatial autoregressive model, and error term, significant indicators affecting commercial property value are investigated. In this study, 14 significant indicators are determined and quantified. Threshold distance equals to 900 m is found to be appropriate in addressing the autocorrelation problem with the weighted decision matrix tool. Compared to HPM and SEM, SAR is found to perform the best in evaluating the significant indicators with the largest R2 and the lowest Akaike Info Criterion. Besides, it is discovered that the value of the commercial property lies in the study range of 20 min walking time and is obviously influenced by the metro station. The results discovered in this study could provide some empirical evidences to commercial property planning in Xi’an. (shrink)

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This research synthesizes social exchange, organizational culture, and social identity theories to explore the boundary conditions of the relationship between high-performance work systems and employee organizational citizenship behavior. In particular, it draws on the China-specific management context. In this country, in spite of the wide use of a long-term-oriented and loose-control-focused Western-styled strategic human resource management model, a short-term-focused and tight-control-oriented error aversion culture is still popular. The study uses multi-source individual-level survey data in a large state-owned enterprise to test (...) the hypotheses. It is found that employee-experienced, Western-styled high-performance work systems positively impact a China-specific employee’s organizational citizenship behavior, and the—joint—moderation effects of employee-perceived error aversion culture and organizational identification are significant. The research findings deepen the understanding of the HRM-OCB relationship by demonstrating that culture and identity can jointly adjust the effects of HRM on OCB. The findings also challenge an established argument in the HRM-OCB literature that compatibility between employees’ personalities and organizational values – organizational identification – can enhance OCB. (shrink)

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With the rapid growth of online product reviews, many users refer to others’ opinions before deciding to purchase any product. However, unfortunately, this fact has promoted the constant use of fake reviews, resulting in many wrong purchase decisions. The effective identification of deceptive reviews becomes a crucial yet challenging task in this research field. The existing supervised learning methods require a large number of labeled examples of deceptive and truthful opinions by domain experts, while the available unsupervised learning methods are (...) inefficient because they depend on the features of reviewers to detect each fake review. Therefore, by focusing on the detection efficiency problem and the limitation of large amount of labeled examples dependence, in this paper, we proposed an effective semisupervised learning approach for detecting spam reviews. Firstly, a time series model of all the reviews of a product is constructed, and then the suspected time intervals are captured based on the burst review increases in these intervals. Secondly, a co-training two-view semisupervised learning algorithm was performed in each captured interval, in which linguistic cues, metadata, and user purchase behaviors were synthetically employed to classify the reviews and check whether they are spam ones or not. A series of numerical experiments on a real dataset acquired from Taobao.com have confirmed the effectiveness of the proposed model, not only reaping benefits in terms of time efficiency and high accuracy but also overcoming the shortcomings of supervised learning methods, which depend on large amounts of labeled examples. And a trade-off balance was obtained between accuracy and efficiency. (shrink)

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In the process of communication between people, everyone will have emotions, and different emotions will have different effects on communication. With the help of external performance information accompanied by emotional expression, such as emotional speech signals or facial expressions, people can easily communicate with each other and understand each other. Emotion recognition is an important network of affective computers and research centers for signal processing, pattern detection, artificial intelligence, and human-computer interaction. Emotions convey important information in human communication and communication. (...) Since the end of the last century, people have started the research on emotion recognition, especially how to correctly judge the emotion type has invested a lot of time and energy. In this paper, multi-modal emotion recognition is introduced to recognize facial expressions and speech, and conduct research on adaptive higher education management. Language and expression are the most direct ways for people to express their emotions. After obtaining the framework of the dual-modal emotion recognition system, the BOW model is used to identify the characteristic movement of local areas or key points. The recognition rates of emotion recognition for 1,000 audios of anger, disgust, fear, happiness, sadness and surprise are: 97.3, 83.75, 64.87, 89.87, 84.12, and 86.68%, respectively. (shrink)

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Numerous studies have produced contradictory findings about whether static or animated format is the better instructional tool. With a comparison between graphs and animations that has a genuine impact on learning and teaching, this review provides a comprehensive examination of the theoretical foundations of visualized learning, influencing factors, and prospective future studies.

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Greed is one of the most common features of human nature, and it has recently attracted increasing research interest. The aims of this paper are to provide one of the first empirical investigations of the effects of greed on job performance and to explore the mediating role of the need for social status and perceived distributive justice. Using a working sample (N = 315) from China, the current study found that greed promoted both task and contextual performance through the intermediary (...) effect of the need for social status. At the same time, greed inhibited both types of performance through perceived distributive justice. These results confirmed our hypothesis that greed is a double-edged sword with opposite effects on one’s performance. The findings suggest that organizations should both address greedy employees’ social status concerns and ensure that they are treated fairly so that organizations can fully utilize the talents of greedy people and channel their energy in a beneficial direction. (shrink)

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Automated reasoning issues are addressed for a finite lattice-valued propositional logic LnP(X) with truth-values in a finite lattice-valued logical algebraic structure—lattice implication algebra. We investigate extended strategies and rules from classical logic to LnP(X) to simplify the procedure in the semantic level for testing the satisfiability of formulas in LnP(X) at a certain truth-value level α (α-satisfiability) while keeping the role of truth constant formula played in LnP(X). We propose a lock resolution method at a certain truth-value level α (α-lock (...) resolution) in LnP(X) and have proved its theorems of soundness and weak completeness, respectively. We provide more efficient resolution based automated reasoning in LnP(X) and key supports for α-resolution-based automated reasoning approaches and algorithms in lattice based linguistic truth-valued logic. (shrink)

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Ancient Chinese thought inquired primarily into how the achievement of things is possible rather than into what a thing as a thing is. It held that man should participate in the achieving or generation of things in order to realize his self-achievement. A thing is understood as an event. Because all things and man are united as one, it is possible for man to enter into things by tasting and feeling rather than by relying on the sense of sight. This (...) may provide a possible new means of rescuing things from the numericalization and phenomenalization that sweep over the world today. /// 在中国传统思想世界中，对物首要的态度不是追问 "物之为物" 而是关注如 何 "成物"; 强调以自身参与到物的生成中去，成己以成物，遂使物成为 "事" 使 万物一体; 强调以 "味"、"感" 的方式进入物之中，发展出不同于 "看" 的通达事 物之方法论。进入事物之中而使事物退隐的可能性降低，为克服今日世界的数字化、 表象化提供了一种 "新" 的可能性。. (shrink)

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The present two-year longitudinal study aimed to examine the relationship between depression and reasoning ability in adolescents, and further investigated the modulation effect of growth mindset on this relationship. A total of 1,961 and 1,667 Chinese adolescents participated in the study for the first year and second year, respectively. The results showed that T1 depression was negatively correlated with T1 growth mindset, T1 reasoning, and T2 reasoning. Regression analysis revealed that T1 depression and the interaction between T1 depression and T1 (...) growth mindset significantly predicted T1 reasoning. After controlling for gender, age, family socioeconomic status, and T1 reasoning ability, both T1 depression and the interaction between T1 depression and T1 growth mindset still significantly predicted T2 reasoning. The simple slope analysis found that the negative correlation between depression and reasoning in the high growth mindset group was weaker than that of the low growth mindset group in both T1 and T2, suggesting that growth mindset plays a significant moderating role in the relationship between depression and reasoning. In conclusion, depression was negatively correlated with reasoning ability in adolescents, in addition, growth mindset moderated the relationship between depression and reasoning. (shrink)

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In this paper, we present a case study of how well subject metadata (comprising headings from an international classification scheme) has been deployed in a national data catalogue, and how often data seekers use subject metadata when searching for data. Through an analysis of user search behaviour as recorded in search logs, we find evidence that users utilise the subject metadata for data discovery. Since approximately half of the records ingested by the catalogue did not include subject metadata at the (...) time of harvest, we experimented with automatic subject classification approaches in order to enrich these records and to provide additional support for user search and data discovery. Our results show that automatic methods work well for well represented categories of subject metadata, and these categories tend to have features that can distinguish themselves from the other categories. Our findings raise implications for data catalogue providers; they should invest more effort to enhance the quality of data records by providing an adequate description of these records for under-represented subject categories. (shrink)

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BackgroundAdolescents’ engagement in daily physical activity brings multiple benefits, including reduction in obesity, improvement of mental health, and enhancement of cognitive function. While prior studies have examined the link between physical activity and cognitive function, little is known regarding the extent to which this relationship is shaped by health and wellbeing factors. This study examines how subjective wellbeing and general health mediate the relationship between adolescents’ physical activity and cognitive function.MethodsThis study estimates a parallel structural equation model using the Program (...) for International Student Assessment 2018 dataset. Specifically, a total of 63,228 15-year-old subjects in nine countries/economies satisfied the study inclusion criteria, including in Bulgaria, Georgia, Hong Kong, Ireland, Mexico, Panama, Serbia, Spain, and United Arab Emirates. Frequency of moderate physical activity was reported weekly; SWB and GH were assessed using an internationally validated multi-item standardized questionnaire. SWB was measured by students’ self-evaluated satisfaction with their health, life, and schooling. GH was measured by students’ physical health and mental health status. Cognitive function was modeled as a latent function consisting of plausible values derived using item response theory on reading, mathematics, and science achievement tests.ResultsFindings indicated that increase in weekly MPA was positively associated with higher levels of SWB, GH, and CF among the study subjects. Parallel mediation analyses revealed that more frequent weekly MPA had relatively large direct effects on CF, and indirect effects channeling through improvements in SWB and GH were non-trivial. Heterogeneity results showed that boosts to CF, associated with MPA, were larger for mathematics and science than for reading.ConclusionThis study used a large-scale international dataset to show that the positive relationship observed between MPA and CF among adolescents was robust, and that SWB and GH were two critical mediators through which physical activity positively bolster CF. (shrink)

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This paper describes the investigations performed to better understand two-stage rotor speed matching in a contrarotating fan. In addition, this study develops a comprehensive measuring and communication system for a contrarotating fan using ZigBee network. The investigation method is based on three-dimensional RANS simulations; the RANS equations are solved by the numerical method in conjunction with a SST turbulence model. A wireless measurement system using big data method is first designed, and then a comparison is done with experimental measurements to (...) outline the capacity of the numerical method. The results show that when contrarotating fan worked under designed speed, performance of two-stages rotors could not be matched as the designed working condition was deviated. Rotor 1 had huge influences on flow rate characteristics of a contrarotating fan. Rotor 2 was influenced by flow rates significantly. Under large flow rate condition, the power capability of rotor 2 became very weak; under working small flow rate condition, overloading would take place to class II motor. In order to solve the performance mismatch between two stages of CRF under nondesigned working conditions, under small flow rate condition, the priority shall be given to increase of the speed of rotor 1, while the speed of rotor 2 shall be reduced appropriately; under large flow rate condition, the speed of rotor 1 shall be reduced and the speed of rotor 2 shall be increased at the same time. (shrink)

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Complex adaptation systems are the main development direction of China’s current green innovation research. New material industry is one of the key entry points to accelerate the construction of modern industrial system and promote innovation, green, and efficient development. Under the requirements of China’s current low-carbon development, China’s green innovation system is developing rapidly. Green innovation complicates traditional innovation models and their functions and improves economic development. The purpose of this paper is to study the theoretical analysis framework of applying (...) complex adaptive systems and to analyze and calculate the characteristics of the current status of green innovation systems in multiple industries in China’s manufacturing industry. Analysis is as follows. The experimental group and the control group are set for comparison, and the data are organized by applying complex adaptive system theory and data analysis methods. Experimental data show that the coordinated development of the green innovation systems in various industries in China is not balanced, with a difference of more than three times; the parameters of the various green innovation systems within the industry are unbalanced, and the difference is more than five times. The experimental results show that the green innovation subject can strategically interact by adjusting the ratio of resource allocation through the constructed green innovation system model. The green innovation system with complex adaptive system theory is conducive to the development of the green system. It can save about 23% of green innovation time and improve efficiency by about 15%, to promote the development of green innovation in China. (shrink)

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To improve the personalized service of cultural tourism, anticipatory calculation has become an essential technology in the content design of intelligence navigation system. Culture tourism, as a form of leisure activity, is being favored by an increasing number of people, which calls for further improvements in the cultural consumption experience. An important component of cultural tourism is for tourists to experience intangible cultural heritage projects with local characteristics. However, from the perspective of user needs and the content adaptive system, there (...) are few suitable intelligent navigation and user demand anticipatory systems for intangible cultural heritage content. Purple clay culture is one of the first batches of national intangible cultural heritage protection projects in China. Therefore, taking purple clay culture exhibition as an example, this paper attempts to analyze the personalized information demand of tourism consumption experience in intangible cultural heritage communication activities with affective computing and meaning-driven innovative design method, by taking the content design in the navigation system as the research object. This paper uses the theory of planned behavior to calculate the relationship between tourists’ attitude, experience behavior, and display information demand. The findings indicate two issues. First, tourists’ demand for the entertainment and leisure attributes of intangible cultural heritage is greater than the demand for educational function attributes. Second, the meaning elements of information can change tourists’ beliefs in intangible cultural heritage and affect their attitude and behavior toward such heritage. According to the research results, strengthening the meaning elements of specific group information can improve people’s cultural identity and tourism satisfaction. The research results provide the basis for the content design direction of future museum intelligent navigation systems. (shrink)

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Flap EndoNuclease‐1 (FEN‐1) is a multifunctional and structure‐specific nuclease involved in nucleic acid processing pathways. It plays a critical role in maintaining human genome stability through RNA primer removal, long‐patch base excision repair and resolution of dinucleotide and trinucleotide repeat secondary structures. In addition to its flap endonuclease (FEN) and nick exonuclease (EXO) activities, a new gap endonuclease (GEN) activity has been characterized. This activity may be important in apoptotic DNA fragmentation and in resolving stalled DNA replication forks. The multiple (...) functions of FEN‐1 are regulated via several means, including formation of complexes with different protein partners, nuclear localization in response to cell cycle or DNA damage and post‐translational modifications. Its functional deficiency is predicted to cause genetic diseases, including Huntington's disease, myotonic dystrophy and cancers. This review summarizes the knowledge gained through efforts in the past decade to define its structural elements for specific activities and possible pathological consequences of altered functions of this multirole player. BioEssays 27:717–729, 2005. © 2005 Wiley Periodicals, Inc. (shrink)

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