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The geomagnetic field vector is a function of the satellite’s position. The position and speed of the satellite can be determined by comparing the geomagnetic field vector measured by on board three-axis magnetometer with the standard value of the international geomagnetic field. The geomagnetic model has the disadvantages of uncertainty, low precision and long-term variability. Therefore, accuracy of autonomous navigation using the magnetometer is low. The purpose of this paper is to use the geomagnetic and sunlight information fusion algorithm to improve the orbit accuracy.

In this paper, an autonomous navigation method for low earth orbit satellite is studied by fusing geomagnetic and solar energy information. The algorithm selects the cosine value of the angle between the solar light vector and the geomagnetic vector, and the geomagnetic field intensity as observation. The Adaptive Unscented Kalman Filter (AUKF) filter is used to estimate the speed and position of the satellite, and the simulation research is carried out. This paper also made the same study using the UKF filter for comparison with the AUKF filter.

The algorithm of adding the sun direction vector information improves the positioning accuracy compared with the simple geomagnetic navigation, and the convergence and stability of the filter are better. The navigation error does not accumulate with time and has engineering application value. It also can be seen that AUKF filtering accuracy is better than UKF filtering accuracy.

Geomagnetic navigation is greatly affected by the accuracy of magnetometer. This paper does not consider the spacecraft’s environmental interference with magnetic sensors.

Magnetometers and solar sensors are common sensors for micro-satellites. Near-Earth satellite orbit has abundant geomagnetic field resources. Therefore, the algorithm will have higher engineering significance in the practical application of low orbit micro-satellites orbit determination.

This paper introduces a satellite autonomous navigation algorithm. The AUKF geomagnetic filter algorithm using sunlight information can obviously improve the navigation accuracy and meet the basic requirements of low orbit small satellite orbit determination.

This research takes the transfer behavior of users from Tencent QQ to WeChat as an example to discuss the wider transfer behavior of social media users on the Internet.

This paper collects data through a combination of offline interviews and online questionnaire surveys, and utilizes data analysis tools to construct structural equation modeling (SEM). Using Statistical Product and Service Solutions (SPSS) Statistics 22.0 and Analysis of Moment Structures (AMOS) 22.0 software with SEM, this study was carried out to provide reasonable statistical support for relevant proposed hypotheses based on 368 effective samples acquired through the questionnaire.

The findings of this study show that subjective norm, transfer experience, social communication, and knowledge acquisition all have significant associations with transfer intention and switching behavior. To be specific, transfer intention exerts a positive association on switching behavior; function setting, privacy protection and personal innovation have a favorable association with transfer intention; transfer cost has a significantly negative relationship with transfer intention and switching behavior; function setting has no important relationship on switching behavior.

The research results provide a reference for improving the viscosity and loyalty of social media users in the new era and resolving the problem of user churn.

Sociology of sport in China has evolved from being an “exotic” subject to a localized subject over the past 35 years. It is closely associated with social changes, sports policy and athletic achievement of China. As a discipline of humanitarian and social sciences of sport, it is taught in virtually all universities with sports majors. There are about 500 scholars specializing in sport sociology in the country. Textbooks written by Chinese and foreign scholars are published. Academic papers on sport sociology are often published in the 15 accredited core sports journals. The most productive authors are from universities and the developed provinces and municipalities. The established research areas of sport sociology are extensive. These include national identity, athlete mobility, Olympic legacy, sport for all, sports industry issues, feminist studies, community sport, sport for the aged and disabled, etc. However, there are few studies with critical analysis and only a few in the areas of sport and religion, sport and race, and deviance in sport in China. Various kinds of financial support at different levels are available in the country. Empirical research is common with literature review, questionnaire, case study, and interview being the most frequently used methods. However, sport sociology is not considered as a major topic but as a research direction and it is not accepted widely by mainstream sociology. The future of sport sociology is promising, but not without challenges.

This article aims to explore the key role of community participation in the protection and development of national parks under the global trend of national park development and provide reference for the construction of China’s national park system by analyzing international successful cases and experiences.

The study on “International Experience of Community Support for National Park Development” integrates multimethods, from data mining reports, journals and policy docs from WB, UNEP, to case analyses. In-depth interviews with policymakers, academics and farmers reveal needs, challenges and best practices. Comparative analysis tailors findings to China’s context, offering recommendations for enhancing community support. This hybrid approach ensures practical insights for China’s application.

The results of this study underscore the paramount significance of community participation as a cornerstone in advancing sustainable development and safeguarding national parks amidst a growing global awareness of environmental stewardship. Through a thorough examination of international National Parks such as Yellowstone, Maasai Mara, Uluru-Kata Tjuta and Sanjiangyuan, we reveal a blueprint of success that hinges on robust policy support, empowerment of local communities, strategic economic incentives and multifaceted cross-sectoral collaborations. In the context of domestic hurdles, including inadequate legal frameworks, narrow participation avenues and resource scarcities, our analysis outlines actionable recommendations aimed at fortifying policy and legal frameworks, establishing efficient engagement modalities, bolstering community capacity-building initiatives and fostering economic sustainability. This comprehensive approach presents a visionary roadmap for World’s national park system, guiding it towards achieving an optimal equilibrium where ecological integrity and community prosperity coexist harmoniously.

The article underscores the originality in illuminating the pivotal role of community participation in national park protection and development amidst a global shift. By delving into international exemplars like Yellowstone, Maasai Mara, Uluru-Kata Tjuta, Sanjiangyuan and Panda, it uncovers novel insights on policy frameworks, community empowerment, economic incentives and collaborative models. This work contributes to the burgeoning discourse on balancing ecological conservation with socioeconomic development, providing a blueprint for sustainable national park management of all the world.

The purpose of this paper is to explore humanities teachers’ perceptions of patriotism in Singapore by addressing two questions. First, what are teachers’ understandings of patriotism? Second, what are teachers’ attitudes toward patriotism as a quality of good citizenship?

The qualitative case study approach was used, with semi-structured interviews and classroom observations as data sources. The participants were four teachers from diverse backgrounds with distinct perceptions of patriotism. Data analysis methods included writing teacher profiles and thematic coding.

Teachers were generally positive toward patriotism and understood it in four ways: cosmopolitan, nationalistic, social-movement and person oriented. These themes were not mutually exclusive but distributed across the participants in varying extents. These findings show that patriotism is susceptible to individual meaning-making, and there are different scales and expressions of patriotism.

The results from this small case study cannot be generalized. However, owing to globalization, it is likely that alternative ways of understanding patriotism might become more widespread and salient in citizenship education. Hence, the authors recommend that more studies be conducted on larger samples and using other methods.

This study goes in-depth into a case where teachers had positive feelings toward patriotism, and it draws on the context of Singapore to understand how and why this is so. It also revealed conceptions of patriotism that differ from the more common constructs in the educational literature, suggesting that people from post-colonial countries with different histories, might conceive of patriotism differently from others.

The purpose of this paper is to explore the expansion of agricultural production into marginal lands, also known as “wasteland,” and examine the association between political capital, household income, and using additional marginal lands for agriculture in the Xinjiang Uyghur Autonomous Region of western China.

The paper uses exploratory data analyses methods, including descriptive statistics, graphical analysis, econometrics and propensity score matching, and data from a 2008 survey of 342 households in Awat County of Aksu Prefecture to explore the role of political capital in an agricultural household setting.

Preliminary results suggest that wasteland usage has a positive association with income, and that household political capital, in the form of Communist Party membership or being a village cadre, correlates with wasteland usage because it improves access to irrigation water.

A constant topic of debate in China is the role of political capital in influencing livelihoods. The authors aim to add modest insights into this debate and provide a starting point to foster additional debates regarding the role of political capital, rural livelihoods, and natural resource usage.

This study aims to determine whether the stock holdings of equity mutual funds are informative for predicting future stock performance in the Chinese market. It is a puzzle that actively managed mutual funds underperform passive benchmarks, whereas retail investors still delegate investment decisions to the fund managers. The present study sheds light on whether mutual fund managers possess security selection skills in their top ten holdings.

By regression analysis and portfolio sorting, this study focuses on 830 Chinese A-share stocks in the industry research reports from the Guotai Junan Securities Company. It collects mutual fund's top ten holdings data from the Wind Financial Terminal between 2019Q1 and 2021Q1. As robustness checks, the result holds for the fixed-effect model, an additional measure of ranks in the top ten holdings, the predictability test based on the confusion matrix and two stage least square (2SLS) regression.

The authors find that the top ten holdings by equity mutual funds are informative for predicting stock performance and can provide valuable information for investors to support their decision-making.

The findings of this study provide insightful guidance for retail investors in making investment decisions and support the hypothesis that active fund management adds value.

Firstly, the authors find that the top ten holdings of Chinese mutual funds show significantly positive signals for future stock excess returns, indicating the selection skills of fund managers. Secondly, the above positive relationship exhibits a diminishing marginal effect with more funds holding this stock. Thirdly, the authors find that the predictability horizon of the number of overweighing funds is up to three quarters and then diminishes in the fourth quarter. Finally, investors have a 59% prediction accuracy for the whole stock sample and an 85% precision conditional on the predicted positive subsample to outperform the market. The authors also address the endogeneity and reverse causality issues.

This paper aims to study the frictional performance of reciprocating pair with high velocity by using hydrodynamic lubrication principle and fish scale textured piston model.

Based on the idea of function characteristic approximation and coordinate change, a mathematical representation model of imitating fish scale texture pit section is established. According to the principle of dynamic pressure lubrication of the textured fluid, a three-dimensional numerical model of flow field for fish scale texture is established without considering cavitation. Numerical analysis of the model carp scale texture unit by orthogonal experimental design and FLUENT software is carried out.

Effects of fish scale pit texture on friction properties for a reciprocating pair piston surface with high velocity (impact piston) are acquired. Effects of texture characterization parameters and flow rate on the surface friction performance for impact piston are found. Effects of different characteristic parameters combination of imitating fish scale texture on friction performance for impact piston surface are obtained.

The model is an effective tool to study the friction and wear of reciprocating pair with high velocity. The effects of fish scale textured piston pair supply a theory lead to design the reciprocating pair with better friction performance.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2019-0398

This research paper aims to explore Airbnb’s online experience initiative, which has sparked a new wave of virtual tourism to improvise a large assortment of experiential activities through cyberspace. It works to answer questions pertinent to the type of virtual experiences tourists seek and how these experiences could fulfill tourist needs, thereby rendering favorable socio-mental outcomes through experiences encountered.

Drawing on travel experience and transformative tourism theoretical tenets, this qualitative inquiry used data collected from social media posts from virtual tourists.

Results reveal four major themes of online experiences – hedonism, attention restoration, social relatedness and self-exaltation – that encompass 12 experiential categories. They further underscore four types of transformative mechanisms pinpointing hedonic well-being, environmental-mastery well-being, social well-being and eudaimonic well-being.

Research findings demonstrate how Airbnb exercised marketing agility during severe environmental plight; while expediting strategic initiatives that offer tourists and residents alike a means to reengage in leisure and travel activities at home. They also salvage the peer-to-peer community by turning accommodation hosts into online experience ambassadors.

The contribution of this inquiry lies in assessing virtual experiences and reconnecting how different cyber experiences can meet an array of tourist needs. This study further highlights the transformative virtual experience paradigm to lay the necessary theoretical foundation for future research on virtual transformative tourism. This research goes beyond the common understanding of transformative tourism that relies merely on corporeal encounters. From a practical point of view, this study brings light to a novel concept – sharing experience economy – that incorporates the nuances between sharing economy and experience economy.