With the expansion of people’s needs, the translation performance of traditional models is increasingly unable to meet current demands. This article mainly studied the Transformer model. First, the structure and principle of the Transformer model were briefly introduced. Then, the model was improved by a generative adversarial network to improve the translation effect of the model. Finally, experiments were carried out on the linguistic data consortium dataset. It was found that the average Bilingual Evaluation Understudy value of the improved Transformer (...) model improved by 0.49, and the average perplexity value reduced by 10.06 compared with the Transformer model, but the computation speed was not greatly affected. The translation results of the two example sentences showed that the translation of the improved Transformer model was closer to the results of human translation. The experimental results verify that the improved Transformer model can improve the translation quality and be further promoted and applied in practice to further improve the English translation and meet application needs in real life. (shrink)

Short circuit is a key factor which drastically affects the efficiency of metal electrorefining. Infrared image of the intercell busbar region is used to perform short circuit detection. To cope with the high thermal background, a two-level short circuit detection method is designed. Firstly, with background subtraction, high intensity short circuit electrodes, as well as the background, are removed, and normal working electrodes are preserved. In the second stage, suspicious short circuit areas are sifted out by normal electrode detecting and (...) texture period estimation. Gaussian difference filter which is based on the human visual system is improved to match the target gray distribution. A comparative experiment indicates that the proposed orthogonal DoG outperforms the original DoG and top-hat in the accuracy of normal electrode detection. The two-level detection method in this paper is applied in a copper electrolysis plant and exhibits superiority in locating short circuits and avoiding miss detection. (shrink)

The eukaryotic genome is organized into different domains by cis‐acting elements, such as boundaries/insulators and matrix attachment regions, and is packaged with different degrees of condensation. In the M phase, the chromatin becomes further highly condensed into chromosomes. The first step for transcriptional activation of a given gene, at a particular time during development, in any locus, is the opening of its chromatin domain. This locus needs to be kept in this state in each early G1 phase during every cell (...) cycle. Certain distal enhance elements, including locus control regions (LCRs) and enhancers, are believed to perform this target chromatin domain opening process and several models have been proposed to explain distal enhance action. But they did not explain precisely how a given chromatin domain is opened. Based on various studies, we propose a hypothesis for the mechanism of opening chromatin on a large scale. One important mechanism may involved breaking one or two DNA strands and reducing the linking numbers within chromatin domain. The topological changes can overpass some complexes formed on DNA strands and can be transmitted from specific localized points over a broad region, until boundary elements or insulators are reached. These may initiate downstream events such as propagation of histone acetylation and the binding of transcription factors to proximal promoters and may further augment the action mediated by distal enhancer elements. BioEssays 25:507–514, 2003. © 2003 Wiley Periodicals, Inc. (shrink)

ObjectivesAimed to analyze the mediating effect of executive function between physical activity level and trait anxiety in college students.MethodsThe International Physical Activity Questionnaire, State-Trait Anxiety Inventory, Stroop task, 1-back task, and More-odd shifting task were used to analyze 248 college students.ResultsTrait anxiety were significantly correlated with shifting function (r = 0.182, P = 0.004) and inhibition function (r = 0.163, P = 0.010) and not with working memory (r = 0.056, P = 0.385). Vigorous physical activity (VPA) was most highly (...) correlated with inhibition function (Beta = −0.144, P = 0.024) and working memory (Beta = −0.208, P = 0.001), and light physical activity (LPA) was most highly correlated with shifting function (Beta = −0.211, P = 0.001). Physical activity had a 72.31% association with trait anxiety (B = −0.195), with 11.79% mediated by inhibition function (B = −0.023) and 15.90% by shifting function (B = −0.031).ConclusionCollege students' physical activity promotes both inhibition and shifting functions, which in turn affect trait anxiety. VPA had a direct effect, while the effect of moderate physical activity (MPA) and LPA was completely mediated exclusively through executive functions, and the mediating effect of shifting function was the highest. It is recommended that college workers should motivate students with high trait anxiety to engage in more VPA and pay attention to changes in their inhibition and shifting functions. (shrink)

Post-stroke depression is a serious complication of stroke that significantly restricts rehabilitation. The use of immersive virtual reality for stroke survivors is promising. Herein, we investigated the effects of a novel immersive virtual reality training system on PSD and explored induced effective connectivity alterations in emotional networks using multivariate Granger causality analysis. Forty-four patients with PSD were equally allocated into an immersive-virtual reality group and a control group. In addition to their usual rehabilitation treatments, the participants in the immersive-virtual reality (...) group participated in an immersive-virtual reality rehabilitation program, while the patients in the control group received 2D virtual reality rehabilitation training. The Hamilton Depression Rating Scale, modified Barthel Index, and resting-state functional magnetic resonance imaging data were collected before and after a 4-week intervention. rsfMRI data were analyzed using multivariate GCA. We found that the immersive virtual reality training was more effective in improving depression in patients with PSD but had no statistically significant improvement in MBI scores compared to the control group. The GCA showed that the following causal connectivities were strengthened after immersive virtual reality training: from the amygdala, insula, middle temporal gyrus, and caudate nucleus to the dorsolateral prefrontal cortex; from the insula to the medial prefrontal cortex; and from the thalamus to the posterior superior temporal sulcus. These causal connectivities were weakened after treatment in the control group. Our results indicated the neurotherapeutic use of immersive virtual reality rehabilitation as an effective non-pharmacological intervention for PSD; the alteration of causal connectivity in emotional networks might constitute the neural mechanisms underlying immersive-virtual reality rehabilitation in PSD. (shrink)

ObjectiveTo investigate the attitudes of Chinese parents regarding the storage of dried blood spots collected for newborn screening (NBS) and their use in research.MethodsWe conducted a hospital-based survey of parents and examined parental attitudes regarding (a) allowing NBS sample storage, (b) permitting use of children’s NBS samples for research with parental permission, and (c) permitting use of children’s NBS samples for research without parental permission.ResultsThe response rate was 52 percent. Of parents surveyed, 68 percent would permit their infant’s NBS sample (...) to be stored for at least some length of time. If permission is obtained, 69 percent of parents “strongly agreed” or “agreed” to permit use of the NBS sample for research. If permission is not obtained, only 14 percent of parents “strongly agreed” or “agreed.” There was no significant association between permitting use of NBS samples for research and parental gender, education, household income, number of children, or site of residence.ConclusionsThis is the first survey of Chinese parents regarding the use of NBS samples for different types of research, with results indicating that most parents would permit their infant’s sample to be stored and would support the use of NBS dried blood spots for research purposes. (shrink)

The outbreak of the COVID-19 epidemic has promoted the popularity of online learning, but has also exposed some problems, such as a lack of interaction, resulting in loneliness. Against this background, students' attitudes toward peer interaction may have become even more important. In order to explore the impact of attitude toward peer interaction on students' mindset including online learning motivation and critical thinking practice that could affect their problem-solving self-efficacy during the COVID-19 pandemic, we developed and administered a questionnaire, receiving (...) 1,596 valid responses. The reliability and validity of the questionnaire were re-tested, and structural equation modeling was applied. It was found that attitude toward peer interaction could positively predict middle school students' online learning motivation and critical thinking. Learning motivation and critical thinking also positively supported problem-solving self-efficacy. It is expected that the results of this study can be a reference for teachers to adopt student-centered online learning in problem solving courses. (shrink)

Student–teacher relationships have been examined by many studies. However, an omission still exists, the existing scales are not appropriate for studying STRs in private colleges because of the special character of these schools. This paper presents the development and validation of Private-College Student–Teacher Relationship Scale, the first instrument to evaluate student–teacher relationships in private colleges. The PCSTRS has six dimensions: trust, interaction, intimacy, care, approval, and comfort. In our main study, the validity and reliability of the six-factor PCSTRS model were (...) demonstrated. The result of internal consistency coefficient indicated the high reliability of the scale, and the result of concurrent validity indicated the significant correlational relationships between the PCSTRS with other STR measures. In supplementary study, the PCSTRS was administered to 360 participants to confirm the applicability of PCSTRS and investigate the relation of STRs and students’ traits, performance, and wellbeing, as well as the differences between the private school and the public school in this relation; the analyses revealed that there were significant differences in trust, intimacy, and care between private and public colleges; positive correlations were found between STRs and self-esteem, self-efficacy, academic performance, extracurricular activity involvement, and subjective wellbeing. Present research firstly develops the PCSTRS, examined the reliability and validity, and provides the proposed nomological network among related constructs. (shrink)

The study constructs a theoretical model of social capital, farm household financing, and scale operation and their environmental effects, and conducts an empirical test based on data from China Family Panel Studies which is conducted in 2018 using causal mediation analysis. The results showed that farmers who spent more on human interaction have a higher probability of choosing scale operation by renting land, the mechanism of which is that the social capital accumulated by farmers based on human interaction facilitates their (...) access to formal and informal financing, which in turn alleviates the financing constraint of scale operation. In addition, we found that the farmers with low education were more dependent on social capital to obtain informal financing to achieve scale operation. The environmental effects of scale operation found that the farmers significantly reduced the proportion of fertilizer and pesticide use, which could effectively mitigate possible pollution problems caused by excessive fertilizer and pesticide use. These findings confirm that social capital can alleviate the financing constraints of farmers to expand their operation scale through formal and informal financing, which in turn has a positive environmental effect. (shrink)

This study examines whether penalties issued to Chinese listed companies by securities regulators for violations of corporate law affect the cost of debt, and the moderating role of corporate social responsibility fulfillment on this relationship. Our sample consists of firms listed on Shanghai and Shenzhen stock exchanges from 2011 to 2017 and the data are collected from the announcements of China Securities Regulatory Commission. The findings are as follows: punishment announcements by regulatory authorities increase the cost of debt; and the (...) effect of punishment announcements on the cost of debt is partially offset by prior CSR performance. These findings are shown to be robust. The reputation insurance effect of CSR is more pronounced in state-owned enterprises and in an institutional environment with low marketization, a weak legal environment, and low information transparency. The findings support the reputation insurance hypothesis of CSR and employ the cost of debt as a governance mechanism. (shrink)

BackgroundPsychological resilience may reduce the impact of psychological distress to some extent. We aimed to investigate the mental health status of the public during the outbreak of coronavirus disease 2019 and explore the level and related factors of anxiety and depression.MethodsFrom February 8 to March 9, 2020, 3,180 public completed the Zung’s Self-Rating Anxiety Scale for anxiety, Zung’s Self-Rating Depression Scale for depression, the Connor–Davidson resilience scale for psychological resilience, and the Simplified Coping Style Questionnaire for the attitudes and coping (...) styles.ResultsThe number of people with depressive symptoms was 1,303. The number of people with anxiety symptoms was 1,184. The depressed group and anxiety group had less education, more unmarried and younger age, as well as had significant different in SDS total score, SAS total score, CD-RISC total score, and SCSQ score. The binary logistic regression showed that female, strength, and the subscales of active coping style in SCSQ remained protective factors and passive coping style and higher SAS score were risk factors for depression. Optimism in CD-RISC was a protective factor, and passive coping styles and higher SDS score were risk factors for anxiety.LimitationsThis study adopted a cross-sectional design and used self-report questionnaires.ConclusionThe mental health of the public, especially females, the younger and less educational populations, and unmarried individuals, should be given more attention. Individuals with high level of mental resilience and active coping styles would have lower levels of anxiety and depression during the outbreak of COVID-19. (shrink)

The impacts of COVID-19 have spread rapidly to global financial markets. In this context, combining the spillover index method introduced by Diebold and Yilmaz and the complex network analysis framework, we examined the volatility connectedness and the topological structure among the top ten cryptocurrencies before and during the COVID-19 crisis. The results revealed that the total volatility connectedness of the cryptocurrency market markedly increased following the outbreak of COVID-19; statically, Bitcoin, Ethereum, Cardano, and Bitcoin Cash were the net transmitters before (...) COVID-19, while Bitcoin, Ethereum, Ripple, Litecoin, Cardano, and Stellar became the major net transmitters in the market after COVID-19. Dynamically, the dynamic performance of different cryptocurrencies during the COVID-19 pandemic was heterogeneous, and the possible driving factors are diverse. Moreover, from network analysis, we further found that the COVID-19 crisis has significantly changed the topological structure of the cryptocurrency market. Our findings may help understand the typical dynamics in the cryptocurrency market and provide significant implications for portfolio managers, investors, and government agencies in times of highly stressful events like the COVID-19 crisis. (shrink)

Background: The coronavirus disease 2019 has been rapidly transmitted worldwide, which contributed to various psychological problems among the general population in China. The purpose of this study is to investigate the prevalence and associated factors of depressive symptoms among Chinese adults.Methods: A cross-sectional study of Chinese adults was conducted during 17–29 February 2020. Symptoms of depression were assessed using the Center for Epidemiologic Studies Depression scale.Results: A total of 3,399 respondents were included in the analysis. It was observed that 14.2% (...) of the participants were screened positive for depressive symptoms. In a multivariate logistic regression analysis, older age, smoking, self-rated health, having greater support scores, knowledge about the main symptom of COVID-19, and staying in Wuhan within 3 months before the outbreak of epidemic were associated with depressive symptoms.Conclusion: A considerable proportion of the general population in China had depressive symptoms during the COVID-19 epidemic. Routine screening and targeted interventions for depression are needed among high-risk depressed individuals during the COVID-19 epidemic. (shrink)

The rapid development of computers and technology affects modern daily life. Individuals in the digital age need to develop computational thinking skills. Existing studies have shown that programming teaching is conducive to cultivating students’ CT, and various learning models have different effects on the cultivation of CT. This study proposed a problem-oriented learning model that is closely related to programming and computational thinking. In all, 60 eighth-grade students from a middle school in China were divided into an experimental group which (...) adopted the POL model, and a control group which adopted the lecture-and-practice learning model. The results showed that the students who were instructed using the POL model performed better than those who were instructed using the LAP model on CT concepts, CT practices, and CT perspectives. Significant differences were found for CT concepts and CT perspectives, but not for CT practices. Findings have implications for teachers who wish to apply new learning models to facilitate students’ CT skills, and the study provides a reference case for CT training and Python programming teaching. (shrink)

This study examines the deliberations of professional MBA students when presented with a dilemma that weighs the difference between commitments to profit-maximization against concerns for fired workers who would need to seek a new job during a recession. Using content analysis, accounting, economic, and ethically based rationales that differ from the profit-maximizing recommendation are categorized. Results also show that those who make non-profit-maximizing recommendations consider, but ultimately reject the profit-maximizing approach to layoffs.

China’s historical mixed-ownership reform (the Reform) has prioritized enhancing the efficiency and financial performance of its large state-owned enterprises (SOEs) through introduction of partial private-sector equity ownership. However, the presence of a significant gap between China’s private enterprises’ corporate social responsibility (CSR) practices and those of its SOEs suggests potential for Reform-related ownership changes to negatively impact economy-wide CSR performance. We therefore examine the Reform’s impact on private acquirer firms’ CSR practices. We use a proprietary data set of firms listed (...) on the Shanghai and Shenzhen Stock Exchanges, covering the 2011–2015 period. Our findings identify that private firms can enhance their economic and political status through acquiring equity in state-controlled or SOEs and, following this, improve their CSR practices. Our findings have policy implications in the context of the world’s largest emerging market and, more generally, for SOE ownership reform in emerging and transition economies. (shrink)

With the outbreak of the COVID-19 crisis, the public keeps getting epidemic-related information on the media. News reports on the increasing number of fatalities have exposed individuals to death, which causes negative emotional experiences such as tension, anxiety, and fear. This study aimed to investigate whether creativity could serve as an anxiety-buffer when mortality is salient. Based on previous findings, the present study utilized type of creative task and personal search for meaning as moderators. In Study 1, a 2 × (...) 2 between-subject design was utilized, and 168 subjects were randomly assigned to four experimental conditions. In Study 2, 221 subjects were recruited. The experimental procedure was similar to Study 1, except that the priming paradigm of mortality was changed and search for meaning was included as an additional moderating variable. State anxiety was measured as the dependent variable in both studies. Results of Study 1 showed that, while the benevolent creative task could buffer anxiety in the mortality salience condition, the malevolent creative task did not have the same effect. Furthermore, there was a significant interaction between mortality salience, type of creative task, and search for meaning in life on anxiety. In Study 2, the buffering function of benevolent creativity was more intense for participants with a higher level of search for meaning. Together, these findings reveal the influence of different types of creative tasks on individual anxiety levels under death priming conditions and the moderating effect of search for meaning in this relationship. Further, they suggest the need to focus on the role of creativity in terror management. (shrink)

With the expansion of the digital business line, the network flow behind the digital power grid is also exploding. To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition, GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. The network flow series (...) in power grid enterprise always contain complex patterns and outliers, and VMD is applied to adaptively process complex net flow time series into several subseries with simpler patterns. A GRU-xgboost block is designed to reconstruct the features of historical series. Then, xgboost model is applied to generate predictions for all decomposed subsignals. For the final predictions, we design a forecasting adjustment block to further remove the influence of random noise. Finally, the empirical results show the superior performance of the proposed model on network flow forecasting task. (shrink)

Active reciprocity is a process of human harmonious development, which is based on reciprocity. Reciprocity is the result of trichotomy and the expression of golden mean; Active reciprocity is the expression of active golden mean, which discards the passive part of reciprocity. Active reciprocity is a form of rational collectivism which, generally speaking, has two rules for individual communication behavior, namely mutually benefiting and mutually tolerating. It also has three rules for individual behavior, namely benefiting the others without harming oneself, (...) benefiting both oneself and others, benefiting oneself without harming others. It has, through norms, incorporated values and ideas such as fairness, reason, democracy, philanthropism, freedom, harmony, as well as right, responsibility, respect, tolerance, trust, sustainable development. However, it has to be pointed out that active reciprocity should oriented towards altruism, with the minimum requirement of doing no harm to others. Otherwise it will result in moral relativism. (shrink)

This research examines the effect of an individual difference variable that reflects the extent to which one desires positive evaluations from others—that is, face consciousness on consumer energy-saving behavior—as well as the mechanism through which the effect occurs and conditions under which it varies. Drawing upon the means-end theory of lifestyles, we propose that face consciousness increases a status-seeking lifestyle and thus decreases energy-saving behavior. Moreover, the negative relationship between status-seeking lifestyle and energy-saving behavior is contingent upon a perceived seriousness (...) of environmental problems and perceived environmental responsibility, such that the indirect and negative effect of such face consciousness is stronger for consumers who perceive less serious environmental problems and less environmental responsibility. Results from an experimental study and a field study using samples of Chinese consumers provide consistent evidence for the hypothesized model. Theoretical and practical implications for energy-saving behavior are also discussed. (shrink)

The economical/environmental scheduling problem of the ship integrated energy system has high computational complexity, which includes more than one optimization objective, various types of constraints, and frequently fluctuated load demand. Therefore, the intelligent scheduling strategies cannot be applied to the ship energy management system online, which has limited computing power and storage space. Aiming at realizing green computing on SEMS, in this paper a typical SIES-EESP optimization model is built, considering the form of decision vectors, the economical/environmental optimization objectives, and (...) various types of real-world constraints of the SIES. Based on the complexity of SIES-EESPs, a two-stage offline-to-online multiobjective optimization strategy for SIES-EESP is proposed, which transfers part of the energy dispatch online computing task to the offline high-performance computer systems. The specific constraints handling methods are designed to reduce both continuous and discrete constraints violations of SIES-EESPs. Then, an establishment method of energy scheduling scheme-base is proposed. By using the big data offline, the economical/environmental scheduling solutions of a typical year can be obtained and stored with more computing resources and operation time on land. Thereafter, a short-term multiobjective offline-to-online optimization approach by SEMS is considered, with the application of multiobjective evolutionary algorithm and typical schemes corresponding to the actual SIES-EESPs. Simulation results show that the proposed strategy can obtain enough feasible Pareto solutions in a shorter time and get well-distributed Pareto sets with better convergence performance, which can well adapt to the features of real-world SIES-EESPs and save plenty of operation time and storage space for the SEMS. (shrink)

How to make use of the leaders’ psychological capital to improve the innovation behavior of employees is an important issue for the talent management of enterprises today, and it is also the goal that enterprises must pursue if they want to stand out in the fierce competition. Therefore, in this study, 154 enterprises in high-tech area were selected for questionnaire survey. The correlation between lead-member exchange (LMX) relationship (emotion, loyalty, contribution, professional respect), leaders' psychological capital (confidence, hope, optimism, tenacity), and (...) employees' innovation behaviors were analyzed by multivariate regression. Hierarchical regression method was used to examine the mediating effect of the LEX. It was found that confidence, toughness, and contribution were significantly positively correlated with employee innovation behavior (P<0.000). The positive correlation between hope, optimism, emotion, and loyalty with employees' innovation behavior was significant (P<0.05). Emotion, loyalty, and contribution had mediating effects on the leaders’ psychological capital and the innovation behavior of employees. In conclusion, the leaders’ psychological capital can have a significant positive effect on the innovation behavior of employees directly, and it can also have an indirect positive effect on the innovation behavior of employees by maintaining high quality LMX. (shrink)

ObjectiveThe large-scale epidemic of Coronavirus Disease 2019 has triggered unprecedented physical and psychological stress on health professionals. This study aimed to investigate the prevalence and risk factors of burnout syndrome, and the relationship between burnout and depressive symptoms among frontline medical staff during the COVID-19 epidemic in China.MethodsA total of 606 frontline medical staff were recruited from 133 cities in China using a cross-sectional survey. The Maslach Burnout Inventory was used to assess the level of burnout. Depressive symptoms were assessed (...) by the Patient Health Questionnaire Depression.ResultsDuring the COVID-19 pandemic, 36.5% of the medical staff experienced burnout. Personal and work-related factors were independently associated with burnout, including age, family income, having physical diseases, daily working hours, and profession of nurse. The correlation coefficients between the scores of each burnout subscale and the scores of depressive symptoms were 0.57 for emotional exhaustion, 0.37 for cynicism, and −0.41 for professional efficacy.ConclusionsOur findings suggest that the prevalence rate of burnout is extremely high among medical staff during the COVID-19 pandemic, which is associated with other psychological disorders, such as depression. Psychological intervention for medical staff is urgently needed. Young and less experienced medical staff, especially nurses, should receive more attention when providing psychological assistance. (shrink)

An amplitude controllable hyperjerk system is constructed for chaos producing by introducing a nonlinear factor of memristor. In this case, the amplitude control is realized from a single coefficient in the memristor. The hyperjerk system has a line of equilibria and also shows extreme multistability indicated by the initial value-associated bifurcation diagram. FPGA-based circuit realization is also given for physical verification. Finally, the proposed memristive hyperjerk system is successfully predicted with artificial neural networks for AI based engineering applications.

Drawing on goal setting theory and social cognition career theory, this study empirically proposes an operational definition of career success criteria clarity (CSCC) and further explores its impact on career satisfaction, person-job fit, and subjective well-being through the mediating role of career decision-making self-efficacy (CDSE). A pilot study of 231 samples showed that the CSCC scale had good reliability and validity. To further test the effects of CSCC on crucial employment outcomes, as well as the mediating role of CDSE, 240 (...) employees were included in an additional survey. Structural equation modeling path analysis supported all the expected hypotheses. Results indicated that: 1) CSCC was positively correlated to career satisfaction; 2) CSCC was positively correlated to person-job fit; 3) CSCC was positively correlated to subjective well-being; 4) CSCC was positively correlated to CDSE; 5) CDSE fully mediated the relationship between CSCC and career satisfaction; 6) CDSE fully mediated the relationship between CSCC and person-job fit; and 7) CDSE partly mediated the relationship between CSCC and subjective well-being. The results contributed to social cognition career theory model and provided suggestions for both the career educators and consultants. (shrink)

The strap-down inertial navigation system is a commonly used sensor for autonomous underground navigation, which can be used for shearer positioning under a coal mine. During the process of initial alignment, inaccurate or time-varying noise covariance matrices will significantly degrade the accuracy of the initial alignment of the shearer. To overcome the performance degradation of the existing initial alignment algorithm under complex underground environment, a novel adaptive filtering algorithm is proposed by the integration of the strong tracking Kalman filter and (...) the sequential filter for the initial alignment of the shearer with complex underground environment. Compared with the traditional multiple fading factor strong tracking Kalman filter method, the proposed MSTSKF algorithm integrates the advantage of strong tracking Kalman filter and sequential filter, and multiple fading factor and forgetting factor for east and north velocity measurement are designed in the algorithm, respectively, which can effectively weaken the coupling relationship between the different states and increase strong robustness against process uncertainties. The simulation and experiment results show that the proposed MSTSKF method has better initial alignment accuracy and robustness than existing strong tracking Kalman filter algorithm. (shrink)

The lantern exhibition at the Lantern Festival is an important traditional festival in Taiwan. Visitors play an important role in the promotion and sustainable development of intangible cultural heritage. In recent years, the involvement of digital technology in traditional lantern design and shows has contributed to the protection, inheritance, and promotion of ICH, there remains less research on using augmented reality with ICH tourism. In this study, AR is used for ICH lantern exhibition to discuss the learning experience in lantern (...) tourism and the relationship between technology acceptance and satisfaction from the perspective of visitors, as well as evaluate what AR has on improving visitors’ awareness and learning experience. Then, primary variables of the technology acceptance model are combined with generic learning outcomes to integrate ICH, education, and technology to expand TAM, building a new model to study the ICH learning experience. A questionnaire and observation are used. Respondents are visitors participating in the AR lantern exhibition in Taiwan, which is designed by the author. There is a total of 200 questionnaires collected in the end. The result shows that knowledge and understanding, attitudes and values, activity, behavior, and progression, and enjoyment, inspiration, and creativity from GLOs have a positive effect on technology acceptance and actual use. Therefore, visitors are satisfied with innovative and interesting technology learning experiences, enhancing learning interest and results. Besides, the interaction of the AR system improves visitors’ learning motivation, which shows the combination of AR technology with ICH tourism helps improve cultural awareness. (shrink)