How to reduce pupils’ burden and improve learning efficiency? Research shows that non-intelligence factors and learning strategies are the key factors in the effective learning process, and external intervention can play a greater role in these two aspects. The purpose of this study is to explore the effects of different learning strategies on learning motivation under the presentation of augmented reality multimedia or traditional text learning. Sixty third-grade pupils in Hebei Province were selected, and 2 × 3 between-subjects design was (...) adopted. The dependent variable is learning motivation, which includes three dimensions: surface motivation, deep motivation and achievement motivation. The results showed that Learning strategies had a significant impact on deep motivation. The deep motivation aroused by retrieval practicing strategies was significantly higher than that aroused by restudying strategies and self-generated drawing strategies. The interaction between learning materials and learning strategies was marginally significant. When learning with AR materials, the achievement motivation of pupils in the restudying strategy group was higher than that in the retrieval practicing strategy group. Retrieval practicing strategies have positive significance in cultivating deep motivation. The combination of different learning modes and learning strategies will impact achievement motivation. (shrink)

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)

In the perceptual learning of lexical tones, an automatic and robust attention-to-phonology system enables native tonal listeners to adapt to acoustically non-optimal speech, such as phonetic conflicts in daily communications. Previous tone research reveals that non-native listeners who do not linguistically employ lexical tones in their mother tongue may find it challenging to attend to the tonal dimension or integrate it with the segmental features. However, it is unknown whether the attentional interference initially caused by a maternal attentional system would (...) continue influencing the non-optimal tone perception for simultaneous bilingual teenagers. From an endpoint in the age of language acquisition, we investigate whether the tone-specific attention mechanism developed by the Urdu-Cantonese simultaneous bilinguals is automatic enough to assist them in adapting to a phonetically-conflicting environment. Three groups of teenagers engaged in a four-condition ABX task: Urdu-Cantonese simultaneous bilinguals, Cantonese native listeners, and Urdu-speaking, late learners of Cantonese. The results showed that although the simultaneous bilinguals could phonologically process Cantonese tones in a Cantonese-like way under a conflict-free listening condition, they still failed in adapting to the phonetic conflicts, especially the segment-induced ones. It thus demonstrated that the simultaneous exposure and years of regular education in Hong Kong local schools still could not automatically guarantee simultaneous bilingual processing of Cantonese tones. In interpreting the findings, it hypothesized that, except for simultaneous exposure, the development of a tone-specific attention mechanism is also likely to be L1-inhibitory, tone experience-driven, and language-specific for simultaneous bilinguals. (shrink)

Entering the challenging and promising knowledge era, it is clear that enterprises should leverage knowledge management activities in improving innovation performance to maintain competitive advantages. This study sheds light on the improvement path of innovation ambidexterity from the perspectives of knowledge redundancy and typical leadership style. It is noted that we determined the research theme through quantitative analysis and conducted qualitative analysis through 209 questionnaire data collected from respondents in different regions and industries in China. The empirical results indicated that (...) knowledge redundancy significantly improves exploratory and exploitative innovation, and transactional leadership negatively moderates the above relationships. This study is of managerial implications to encourage employees to fully master and apply the existing knowledge to strengthen their innovation abilities in value creation. We also contribute to the theories pertaining to knowledge management, innovation, and ambidexterity by providing a deeper understanding of the influencing mechanism of knowledge redundancy in innovation ambidexterity while elaborating on the indirect effects of transactional leadership. (shrink)

The pattern, process, and mechanism of residential heterogeneity vary significantly with different geographical scales. However, most traditional methods ignore the checkboard and modifiable areal unit problem, which may cover up the complexity and hierarchy of social space. Taking Hangzhou city as an example, a multiscalar method was proposed based on the information entropy theory to estimate residential heterogeneity and its scale sensitivity. Based on the sixth population census of Hangzhou and the housing price database of 6,536 residential districts from 2008 (...) to 2018, we explore the scale effect and dynamic characteristics of residential heterogeneity. The results of spatial simulation and geostatistical analysis based on Python Spatial Analysis Library module show that the multiscalar algorithm better presents the real segregation pattern than traditional method, which is one of the new models and technologies in urban geography complex system. Exploring residential heterogeneity through multiscalar lens provides an important basis for the gradual and refined urban renewal. (shrink)

In his feature article,1 McCullough LB et al highlights the importance of civility among medical educators and academic leaders in shaping the professional habits of junior doctors. He emphasises the role of medical educators in correcting unprofessional behaviour and emphasises the need for academic leaders to motivate junior doctors to develop virtuous professional habits. The relationship between junior doctors and medical educators can be likened to that between students and teachers. Through active or passive learning from medical educators, junior doctors (...) gain the necessary knowledge, experience and professional virtues. Academic leaders, as prominent experts in their field, play a guiding role in this process. Therefore, their relationship with junior doctors is akin to that between idols and fans. In this regard, academic leaders can serve as exceptional role models for guiding junior doctors to develop the inclination to …. (shrink)

Chengbing WangShanxi University, Taiyuan, ChinaMichael A. PetersBeijing Normal University, Beijing, ChinaContemporary Chinese Marxism is not only an important theory in the humanities and social sc...

Partner selection is an important aspect of the customer collaborative product innovation process and aims to select innovative customer partners from huge numbers of customers, fast and accurately. The purpose of this article is to present a quantitative partner selection method based on the complex network theory. In this method, the complex network model of the Online Community Customer Network is constructed, and network centrality is used as the initial index of customer partner selection. Then, network efficiency and delta centrality (...) are used to evaluate the effect of the index. An example is presented to reflect the feasibility and efficiency of the proposed method. Results validate the small-world and scale-free properties of the OCCN and show that betweenness centrality is the most appropriate index for partner selection in the OCCN. (shrink)

Job shop scheduling problem is one of the most difficult optimization problems in manufacturing industry, and flexible job shop scheduling problem is an extension of the classical JSP, which further challenges the algorithm performance. In FJSP, a machine should be selected for each process from a given set, which introduces another decision element within the job path, making FJSP be more difficult than traditional JSP. In this paper, a variant of grasshopper optimization algorithm named dynamic opposite learning assisted GOA is (...) proposed to solve FJSP. The recently proposed dynamic opposite learning strategy adopts the asymmetric search space to improve the exploitation ability of the algorithm and increase the possibility of finding the global optimum. Various popular benchmarks from CEC 2014 and FJSP are used to evaluate the performance of DOLGOA. Numerical results with comparisons of other classic algorithms show that DOLGOA gets obvious improvement for solving global optimization problems and is well-performed when solving FJSP. (shrink)

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)

The grey system model with time power, which is often called the GM, appeals considerable interest of research due to its effectiveness in time series forecasting. Aimed to improve further the GM model, this paper introduces a new whitening equation with variable coefficient into the original whitening equation which extends applicable scope; as a result, an improved grey model with time power, namely, OGM, is proposed. Firstly, the time response function of the novel model and the restored values of original (...) series are deduced through grey modelling techniques. Secondly, the variable coefficient in the whitening equation and the time power are determined by particle swarm optimization algorithm. Two empirical examples are then used to verify the validity of the novel model. Finally, the novel model is applied to predict the oil consumption of China from 2004 to 2018. Results show the novel model outperforms other commonly-used competitive models, which can well serve a benchmark model for scholars and decision-makers. (shrink)

In order to highlight the role of music teaching in the teaching of ideological and political courses, this study puts forward research on the integration of music teaching and ideological and political teaching. This study analyzes the promotion and necessity of college music teaching to ideological and political work, constructs a fusion model of college music teaching and ideological and political work, introduces deep learning methods, and weakens the influence of errors in the data of college music teaching and ideological (...) and political work. This study also optimized the integration mode of college music teaching and ideological and political work and realized the model research of college music teaching and ideological and political work. The experimental results show that the resource output amplitude controlled by the deep learning method has the best stability, and there is no large amplitude fluctuation during the experiment. The output amplitude and control time of the fusion resource are guaranteed and the fusion path of music teaching and ideological and political education is clearer. The maximum control time of the fusion resource of this method is 23.55 ms. (shrink)

In this article, we use the two-sided market theory as a support and take the operating data of eight Chinese third-party payment platform companies as samples, based on pricing models and multiple regression analysis, to build a price feature model for a third-party payment platform. The results show that under the two-sided market environment, the scale of consumer and the same-side network externality of the merchant have a negative significant effect on the pricing of the third-party payment platform to the (...) seller; The market share of the platform and the bank fee cost of the platform have a positive significant effect on the pricing of a third-party payment platform to the merchant. At the same time, the same-side network externality of the seller, the scale of a merchant, and the selection of the business model of the platform have no significant effect on the pricing of the third-party payment platform to the merchant. These conclusions provide a scientific basis for a third-party payment platform enterprise to develop an appropriate pricing strategy and operating model. (shrink)

The integration of event-related potential and functional magnetic resonance imaging helps to obtain and study neural networks with high temporal and spatial resolution. EEG/fMRI data proves that in the visual tristimulus oddball paradigm, two P300 potentials induced by target stimulation and novel stimulation are detected at the frontal-middle, center, and mid-apical electrodes. Previous studies have shown that P3a and P3b have different spatial distributions of brain activation, but it is unclear whether they have the same neural mechanism. The purpose of (...) this study is to determine the neuropsychological mechanisms of P3a and P3b, as well as the spatiotemporal differences in neurodynamics between the two ERP subcomponents. In a group of 25 subjects, P300 ERP induced by target stimulation and novel stimulation can be detected at the Fz, Cz, and Pz electrodes. At Cz and Fz, compared with P3b related to the target stimulus, the P3a related to the novel stimulus has a higher amplitude and the waveform declines more slowly. But at Pz, P3b has a higher amplitude than P3a. P3a appeared earlier than P3b at Cz and Fz, but the opposite phenomenon was observed at the Pz electrode. The activated brain regions of P3a included the left frontal-parietal lobe region, left anterior wedge lobe region, and right insula, while the target-driven P3b was significantly associated with BOLD changes in the bilateral fusiform gyrus, the left frontal region, and the bilateral insula. The results showed that the integration of the spatial and temporal information of the two imaging modes, namely, ERP and fMRI, proves the existence of the different brain function processes of the two P300 subcomponents. Through the analysis of the composition of P300, the results further proved that the top-down and bottom-up processing processes have played a role in the occurrence of attention capture. It is just that the modulation effects of the two processing mechanisms are different in different tasks. Therefore, it should be noted that the captured neural mechanism is not a single top-down or bottom-up processing process but should be the result of the interaction between the two. (shrink)

This study reveals that increases in the global population command an augmented demand for products and services that calls for more effective ways of using existing natural resources and materials. The recent development of information and communication technologies, which had a great impact on many areas, also had a damaging effect on the environment and human health. Therefore, societies are moving toward a greener future by reducing the consumption of nonrenewable materials, raw materials, and resources while at the same time (...) decreasing energy pollution and consumption. Since information technology is considered a tool for solving ecological difficulties, the green Internet of things is playing a vital role in creating a sustainable home. Extensive data analysis is required to obtain a valuable overview of the large and diverse data generated by the G-IoT. The gathered information will facilitate forecasting, decision-making, and other activities related to smart urban services and then contribute to the incessant development of G-IoT technology. Therefore, even if sustainable and smart cities become an actuality, the G-IoT approach and the knowledge gained through big data analysis will make cities more sustainable, safer, and smarter. The goal of this article is to combine innovation in technological development with the main focus on resource sharing in creating cities that improve the quality of life while reducing pollution and realizing more efficient use of the raw materials. In the practice of big data science, it is always of interest to provide the best description of the data under consideration. Recent studies have pointed out the applicability of the statistical distributions in modeling data in applied sciences. In this article, we introduce a new family of statistical models to provide the best description of the life span of the wireless sensors network’s data. Based on the proposed approach, a special submodel called new exponent power-Weibull distribution is studied in detail. The applicability of the proposed model is shown by analyzing the life span of the wireless sensors network’s data. (shrink)

During the COVID-19 pandemic, organizations need to effectively manage changes, and employees need to proactively adapt to these changes. The present research investigated when and how individual employees’ narcissism was related to their change-oriented organizational citizenship behavior. Specifically, based on a trait activation perspective, this research proposed the hypotheses that individual employees’ narcissism and environmental uncertainty would interactively influence employees’ change-oriented organizational citizenship behavior via felt responsibility for constructive change; furthermore, the effect of narcissism on change-oriented organizational citizenship behavior via (...) felt responsibility for constructive change would be stronger when the environmental uncertainty prompted by the COVID-19 pandemic was high rather than low. Two studies were conducted to test these hypotheses: an online survey of 180 employees in mainland China and a field study of 167 leader–follower dyads at two Chinese companies. The current research reveals a bright side of narcissism, which has typically been recognized as a dark personality trait, and enriches the understanding of the antecedents of change-oriented organizational citizenship behavior. This research can also guide organizations that wish to stimulate employee proactivity. (shrink)

Because academic entrepreneurship is an innovation driving force in China’s economy, teachers are key knowledge creators in the process of entrepreneurship. Therefore, it is particularly important to give attention to the individual psychological mechanism factors at play in the process of teachers in higher education academic entrepreneurship. The purpose of this study is to identify individual psychological capital and role conflict issues among university teachers in China. To accomplish this aim, we investigated the emergence of positive academic entrepreneurial intents, continued (...) through the process of academic entrepreneurship, and clarified the impact of psychological capital and role conflict on entrepreneurial intent. Based on the theory of planned behavior, we constructed a research model from the perspective of entrepreneurial intent prior to entrepreneurial action. We established a cohort of teachers in 17 higher education institutions in southern China, with psychological capital and role conflict as the prior independent variables and the teachers’ academic entrepreneurial intent as the dependent variable. Using quantitative analysis, SPSS 22.0, and AMOS 23.0, we conducted reliability and validity tests, correlation analysis, and structural equation models on the collected data. We reached the following conclusions: psychological capital has a positive effect on attitudes toward academic entrepreneurship; psychological capital has a positive effect on perceived behavioral control; role conflict has a negative effect on perceived behavioral control; academic entrepreneurial attitudes have a positive effect on academic entrepreneurial intent; perceived behavioral control has a positive effect on academic entrepreneurial intent; subjective norms have a positive effect on academic entrepreneurial intent. We also provide some suggestions about academic entrepreneurship for university administrators. (shrink)

BackgroundRepetitive transcranial magnetic stimulation applied to the mylohyoid cortical region has positive clinical effects on post-stroke. Therefore, we conducted a meta-analysis to investigate the efficacy of rTMS for patients with post-stroke dysphagia.MethodsAccording to PRISMA guidelines, we searched the databases of MEDLINE, Cochrane Library, Embase, Web of Science, CNKI, Wangfang. We searched for studies of randomized controlled trials of rTMS to treat dysphagia after stroke and screened by inclusion and exclusion criteria. Features of RCTs were extracted. The heterogeneity of the trials (...) was measured by I2 statistic.ResultsIn total, 11 RCTs with 463 dysphagia patients fulfilled our inclusion criteria. In our analysis, rTMS demonstrated a great beneficial effect for post-stroke dysphagia when combined with traditional swallowing exercises. Moreover, a greatly significant difference was noted based on stimulation frequency. Additionally, no significant difference was observed based on stimulation site.ConclusionsOverall, rTMS can effectively accelerate the improvement of swallowing function in patients with post-stroke swallowing disorders. (shrink)

This paper presents a nonlinear trajectory controller with improved performances for a general model of the waverider based on feedback linearization theory and composite nonlinear feedback technique. First, a nonlinear controller is presented using the dynamic inversion and CNF technique for the MIMO Model, and the robust stability of the proposed controller is proved. Then, the nonlinear model is established on the basis of hypersonic aerodynamic principle, and the dynamic characteristics are analyzed accordingly, and the periodic trajectory is designed and (...) optimized in combination with a fuel optimization problem. Furthermore, the nonlinear controller is applied to the trajectory tracking of the waverider model, and the general design steps are provided the flight controller using this nonlinear control method. Finally, an illustrative example is given to verify the effectiveness of the nonlinear controller of the waverider, and the flight performances are improved accordingly, including system stability, robustness, and tracking ability. (shrink)

Mobile ad hoc network is a network composed of mobile terminals without infrastructure. Due to its fast-networking ability, it is widely used in smart cities, car networking, military, agriculture, medicine, and other fields. Routing technology is a key technology in the field of MANET. The energy consumption is optimized through the technical network simulator NS-3, and the nodes in the MANET routing protocol can accurately simulate the problem, thereby optimizing the MAC layer of important research tools. This article combines the (...) advantages of the lithium-ion battery model. Compared with the KiBaM battery model, the effective charge in the KiBaM model simulates the output voltage well, which can reflect the battery capacity effect rate and the recovery effect of the lithium-ion-KiBaM battery model. The model can respond to the characteristics of the output voltage as the society gets lower and lower. In order to solve the problem that the analytic solution of differential equations cannot be obtained in the model, a numerical solution of the optimization algorithm is proposed based on the implicit Runge–Kutta method. The MAC layer energy consumption and routing protocol optimization algorithm proposed in this paper can be applied well in various fields. (shrink)

The unprecedented 2019/20 Australian bushfires prompted this paper to conduct a transitivity analysis on the top three processes (material, relational, and verbal) in selected BBC news reports. Guided by the ecological philosophical view of “harmony with diversity, interaction, and coexistence,” the research aims to interpret ecological meanings in the text and enhance people’s awareness of environment conservation. The findings reveal that these news reports predominantly utilized material and relational processes to depict the devastating impact of the Australian bushfires on wildlife, (...) the efforts of firefighters, volunteer rescue missions for wildlife, and the roles of individuals involved. These reports also conveyed extensive ecological information, highlighting the ecological crisis arising from the fires, the threat to species diversity, and the active social responsibility of various stakeholders. This research contributes to a deeper understanding of the ecological implications of the Australian bushfires and encourages proactive ecological protection measures. (shrink)

The informative purpose of the research study is to describe the Applications of modern dance and creation in Chinese dance from dialectical materialist philosophy. This research study was conducted in china to measure Chinese and modern dance from materialist philosophy. Research based on primary data analysis for gathering the data developed almost 10 to 12 questions related to the variables. The Chinese dancers, department of Chinese dancers, film industries, etc., are all research study participants. For measuring, the research study used (...) smart PLS software, and run results included composite reliability, segmentations, smart PLS Algorithm, indicator correlations, and signification analysis related to the modern dance creation performance in China and the effect of dialectical materialist philosophy. Overall, the research found a positive and significant application of modern dance and creation from dialectical materialist philosophy. Modern dance and creation have a direct influence on dialectical materialist philosophy. (shrink)

Of all the persisting civilizations in the world, Chinese civilization has endured the vicissitudes of history the longest without abrupt collapse. In the formation and development of Chinese civilization, China at some times experienced unity, strength, prosperity, and glory, and at other times experienced disunion, weakness, depression, and even humiliation. In its long continuous history, China has had a peculiar characteristic of recurrence in which an era of political strength and social prosperity would be superseded by an era of political (...) weakness and social chaos, and finally a lively new era would appear to continue the historical cycle. (shrink)

Whenever we analyze the issue of spiritual activities, we can never lay aside of the macro-background of “spirit service to life”. Spirit is” software” of life. It is essentially to carry out determination of self life and a nervous system which make the information processing and feedback between self life and outside world. It has reasonable structure system and systematical work mechanism. The basic structure system of the spirit of human beings is like this: self is the core and leading (...) of spirit running, which has properties in three aspects which are will, needs and motility. These properties formed a unity. Will mainly shows theessential property of self, which is in the domination and core position. Needs mainly shows the main part of life requesting and demanding for objective outside, which is in the conditional and secondary position. If we put the Needs in the key position, it will blaspheme the meaning of life and lose the value of life. Motility is a centralized reflection of life activity, which could be a means for the implementation of self Will and acquisition of self needs. In the tangible world, it is displayed as colorful life activity. In the intangible spiritual world, it is displayed as the information processing ability and information feedback ability of self life. Motility has four different levels: emotion, subconsciousness, consciousness, cognition. Correspondingly, the development of spirit could also be divided as four levels. In each level, self, activity, requested development degree, property characteristics and main content have certain of differences. In structure system of spirit, there is a correlation among each part and each element, which will interact with own characteristics to form an organic whole. In fact, it is an essential sublimation of tangible body and an intangible life existed with information form. The following figure shows the relationship of each element:[*Electronic Editor's Note: Figure in PDF of article*]This structure system of spirit, which isn’t a simple frame but an abstract mechanism of spirit running, is life active system of informatization. This system and mechanism make the changeable spiritual activity clear and orderly, and make the abundant and various life activities systematic and vivid. This system’s self isdeveloping, whose development still comply with the law of life development, symbolizing the development and extension of vitality. This development could be considered as continuance of life progress. In the low-grade life, it is mainly displayed as biological stress stage of promoting the favorable and avoiding the unfavorable as well as blind and instinctive affective response stage; in the highgrade animals, it is gradually displayed certain of psychological activity ability and study cognition ability. In human beings, it is gradually displayed awake of consciousness and mature of reason, making human beings to control themselves and change all things to become the soul of the world. Through this structure system and running mechanism, we could get a systematical explanation for theessence of emotion, mystery of psychological activity, process of consciousness awake, occurrence mechanism of dream. Meantime, we put forth that human beings must experience the second awakerational awake to become the true society human when human beings become the humans with souls after consciousness awake. (shrink)

BackgroundInstitutional Review Boards (IRBs) play a vital role in safeguarding the rights and interests of both research participants and researchers. However, China initiated the establishment of its own IRB system relatively late in comparison to international standards. Despite commendable progress, there is a pressing need to strengthen the organizational capacity building of Chinese IRBs. Hence, this study aims to analyze the key factors driving the enhancement of organizational capacity within these committees.MethodThe cross-sectional survey for this research was conducted from July (...) 2020 to January 2022. Following the statistical grouping based on the "2020 China Health Statistical Yearbook", a systematic investigation of IRBs in various provinces of China was carried out. In-depth interviews and questionnaire surveys were conducted with the chairpersons and administrative executives (or secretaries) of highly cooperative IRBs. Subsequently, data were collected from 107 IRBs. Qualitative Comparative Analysis (QCA) was employed as the method to analyze the factors influencing the organizational capacity of medical ethics committees and explore the diverse combinations of these factors.ResultsThrough a singular necessary condition analysis, the variable "protection of rights and interests" emerges as a critical factor contributing to the robust construction of Institutional Review Boards Institutional Review Boards (IRBs). Conversely, the variables of "lack of member ability, absence of review process, and deficiency in the supervision mechanism" collectively constitute a sufficient condition leading to weaker IRB construction. The state analysis uncovers three interpretation modes: member ability-oriented (M1), system process-oriented mode (M2), and resource system-oriented mode (M3).ConclusionsThe results of this study are effectively explicable using the "Triangular Force" model proposed for the hypothesis of IRBs' organizational capacity, which provides a solid foundation for the development of organizational capabilities in IRBs. To enhance the organizational capacity of IRBs in China, it is imperative to elevate the competence of committee members and strengthen team development. This can be achieved by establishing a comprehensive regulatory framework and refining procedural protocols. Moreover, clarifying the organizational structure and optimizing resource allocation are essential steps in bolstering the overall organizational capabilities of these committees. (shrink)

Nowadays, innovation and entrepreneurship courses occupy a very important place in universities and colleges and have also become an important teaching position in the process of building a new science. Colleges and universities actively respond to the challenge of “mass entrepreneurship and innovation” and define the goals and specifications of the talent training mechanism based on data fusion algorithms to cultivate as much high-quality applied talent as possible. In view of some shortcomings and problems in the current talent training mechanism (...) in universities and colleges, this paper proposes a data fusion algorithm based on information fusion theory and proof theory. The aim is to verify the feasibility of establishing a talent training mechanism for innovation and entrepreneurship education in universities and colleges. And this paper analyzes and explores the data fusion algorithm and the elements of innovation and entrepreneurial talent training, and forms an operating mechanism for entrepreneurial talent training according to social needs. Among them, the efficiency of the data fusion algorithm used by the GM model plays a significant role in the final result, and the minimum relative error value is 3.2%. Finally, it is concluded that we should focus on establishing a perfect talent training system for college students’ innovation and entrepreneurship education to improve students’ own comprehensive quality and various abilities, and to solve some social problems that are difficult to find employment in essence. (shrink)