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The purpose of this paper is to glean a comprehensive picture of the internal governance structure in Chinese universities based on data from 40 university administrators from 33 Chinese institutions.

The 40 administrators were convenience sampled while they were taking a three-month higher education leadership development program in a large public university in Canada. Permission was obtained to use the comparative discussions at different reflective research sessions as data to inform this study. The data were also progressively collected through informal interviews throughout the three months.

The study finds that the current governance model practiced in Chinese universities can be called “administrator governance,” with all members on the two major governing bodies being senior administrators appointed by and accountable for the governments. To build a “modern university system” aspired in China, the Chinese university administrators perceived a need to strengthen institutional autonomy and collegial governance with participation of the faculty and students.

As much of the literature has focused on the government–university relationship in China, this study aims to glean a comprehensive picture of the internal governance structure in Chinese universities.

This paper proposes a systematic method to manage students to use limited seat resources in Chinese university libraries, with the aid of mobile phone app, at the same time, its use is being investigated.

Use mixed research methods, quantitative and qualitative research. Through observation, questionnaire and interview to achieve research purpose. The survey was conducted in the library of Nanjing agricultural university.

The result shows system can offer convenient, accurate, more personalized, mobility service to each user. Actual average seat usage rate is over 51.7% in a day, most of users are satisfied with the seat management system, students' satisfaction degree are 94.8%. It is also an extension of mobile phone library service.

Seat management system innovate traditional people-oriented service mode of study room into smart, readers can browse usage information of seats anytime and anywhere, get what they want, service become fast and convenient. In period of COVID-19, the seat system also plays an important role, it is easy for librarians to control the number of students to enter, the trajectory of readers in the library can be tracked and the possible epidemic risk can be accurately prevented and controlled.

This paper aims to conduct research on the role of vertical interlocks of executives in blocking adverse loops between research and development (R&D) investment and the cost of equity capital and explore the action path of vertical interlocks of executives. This paper also analyzes the differences in the effect of vertical interlocks of chairman, vertical interlocks of chief executive officer (CEO) and vertical interlocks of CEO duality.

This paper uses 28,078 firm-year samples from Chinese A-share listed companies to study the impact of R&D investment on the cost of equity capital using univariate group analysis and multiple regression methods. This paper analyzes the role of vertical interlocks of executives in reducing the positive impact of R&D investment on the cost of equity capital by constructing interaction variables, by using group testing method to analyze the differences in the vertical interlocks of executives. This study also uses propensity score matching and instrumental variables to conduct robustness tests.

The vertical interlocks of executives can block adverse loops between R&D investment and the cost of equity capital. The role of executive vertical interlocks is more prominent in non-state-owned firms, mainly exerting the resource effect that supports the innovation of non-state-owned firms, including the information resource effect and the financial resource effect. Through heterogeneity analysis, this paper discovered that the role of vertical interlocks of chairman is greater than that of the CEO and the CEO duality.

Based on the perspective of the correlation effect generated by vertical interlocks of executives, this paper analyzes the path of promoting corporate innovation. This provides new empirical evidence for studying the collaborative governance effect of vertical interlocks of executives “supervision effect, financial resource effect and information resource effect.” This study provides useful insights for regulatory authorities to regulate and guide development of the vertical interlocks of executives.

The purpose of this paper is to present a dynamic analysis on the thermal and electrical properties of fabrics under wet conditions.

A purpose‐built apparatus is applied to test the thermal and electrical properties of textiles in moisture absorption and liberation process. Relation between temperature and resistance of a cotton/polyester double‐layer fabric is also analysed.

The surface temperature of textiles shows three different stages in the process. The electrical resistance is linearly related to the reciprocal of the moisture regain of fabrics. In the moisture absorption and liberation process, surface temperature of cotton layer is higher than that of polyester layer. And the electrical resistance of cotton layer decreases more quickly than that of polyester layer. The electrical resistance changes earlier than surface temperature in the moisture‐liberation process.

The paper is helpful in not only the designing of sportswear, but also the devising of moisture‐testing apparatus.

A dynamic testing method is applied to characterize the thermal and electrical properties of textiles.

Electricity demand forecasting has always been a key issue, and inaccurate forecasts may mislead policymakers. To accurately predict China’s electricity demand up to 2030, this paper aims to establish a cross-validation-based linear model selection system, which can consider many factors to avoid missing useful information and select the best model according to estimated out-of-sample forecast performances.

With the nine identified influencing factors of electricity demand, this system first determines the parameters in four alternative fitting procedures, where for each procedure a lot of cross-validation is performed and the most frequently selected value is determined. Then, through comparing the out-of-sample performances of the traditional multiple linear regression and the four selected alternative fitting procedures, the best model is selected in view of forecast accuracy and stability and used for forecasting under four scenarios. Besides the baseline scenario, this paper investigates lower and higher economic growth and higher consumption share.

The results show the following: China will consume 7,120.49 TWh, 9,080.38 TWh and 11,649.73 TWh of electricity in 2020, 2025 and 2030, respectively; there is hardly any possibility of decoupling between economic development level and electricity demand; and shifting China from an investment-driven economy to a consumption-driven economy is greatly beneficial to save electricity.

Following insights are obtained: reasonable infrastructure construction plans should be made for increasing electricity demand; increasing electricity demand further challenges China’s greenhouse gas reduction target; and the fact of increasing electricity demand should be taken into account for China’s prompting electrification policies.

Flights are often delayed owing to emergencies. This paper proposes a cooperative slot secondary assignment (CSSA) model based on a collaborative decision-making (CDM) mechanism, and the operation mode of flight waves designs an improved intelligent algorithm to solve the optimal flight plan and minimize the total delay of passenger time.

Taking passenger delays, transfer delays and flight cancellation delays into account comprehensively, the total delay time is minimized as the objective function. The model is verified by a linear solver and compared with the first come first service (FCFS) method to prove the effectiveness of the method. An improved adaptive partheno-genetic algorithm (IAPGA) using hierarchical serial number coding was designed, combining elite and roulette strategies to find pareto solutions.

Comparing and analyzing the experimental results of various scale examples, the optimization model in this paper is greatly optimized compared to the FCFS method in terms of total delay time, and the IAPGA algorithm is better than the algorithm before in terms of solution performance and solution set quality.

Based on the actual situation, this paper considers the operation mode of flight waves. In addition, the flight plan solved by the model can be guaranteed in terms of feasibility and effectiveness, which can provide airlines with reasonable decision-making opinions when reassigning slot resources.

Having read previous literature about vortex pump, we noticed that mechanisms of circulating flow and its relationship with energy transition remain unclear yet. However, this mechanism, which should be clarified, significantly influences the pump’s efficiency. To comply with the aim of investigating it, the 150WX-200-20 type pump is selected as study object in our present work.

Numerical simulation is conducted to formulate interactions between flow rate and geometric parameters of circulating flow with certain types of blade while experiments on inner flow are served as a witness to provide experimental confirmation of numerical results. Based on these, we coupled some parameters with the pump’s external performance to study their internal connections.

It is concluded that separatrix between circulating flow and other turbulent forms is not that clear under low flow rate. With flow increases, hydraulic losses coming of it will be dominant within the front chamber. Besides, we analogized circulating flow to vortices so as to make a quantitative analysis on its progressive evolution with changing flow, and vortices speaking for circulating flow can be divided into two groups. One is called main circulating flow vortex (hereinafter referred to as MCFV), which occurs all the time while subsidiary circulating flow vortices (hereinafter referred to as SCFV) appear in certain conditions. This context discusses the primary phase of our work with intent to follow up further with circulating flow characterized by vortices (hereinafter referred to as CFV). We confirmed that MCFV Vortex 1 (Vor1) directly influences the efficiency while SCFVs only play helping. As the flow goes to the given working condition, fluids in this pump tend to be steady with the size of CFVs getting larger and their shape being regular. Meanwhile, for MCFV Vor2 and Vor4, their geometric parameters are the key factors for efficiency. When CFVs become steady, they absorb other vortices nearby, as they have higher viscosity with the efficiency reaching its maximum.

The research results explore a new way to measure the circulating flow and help work out the causation of this flow pattern, which may be used to improve the vortex pump’s efficiency.

The profound impact of the COVID-19 pandemic on the film industry has underscored the growing significance of online movies. However, there is limited research available on the factors that influence the viewership of online films. Therefore, this study aims to use the signaling theory to investigate how signals of varying qualities affect online movie viewership, considering both signal transmission costs and prices.

This study uses a sample of 1,071 online movies released on the iQiyi from July 2020 to July 2022. It uses OLS regression and instrumental variable method to examine the impact of various quality indicators on the viewership of online movies, as well as the moderating effect of price.

After conducting a thorough analysis of this study, it can be deduced that the varying impacts on online movie viewership are attributed to disparities in signal transmission costs. Specifically, star influence and rating exhibit a positive effect on the viewership of online movies, whereas the number of raters has a detrimental impact. Furthermore, there exists an “inverted U-shaped” relationship between the number of reviews and online movie viewership. Additionally, within the consumer decision-making process, both price-cost and price-quality relationships coexist. This is evident as prices negatively affect online movie viewership but positively moderate the relationship between rating, number of reviews and online movie viewership.

The research findings of this study offer valuable insights for online film producers to effectively leverage quality signals and pricing, thereby capturing market attention and enhancing film profitability.

The purpose of this paper is to examine how microblog communication enabled a new form of hybrid net-roots third-sector organization that rely heavily on the internet to achieve multiple organizational successes in civil society, social movement and service providing in China, where the government holds predominating power over the third sector.

A qualitative inductive analysis was conducted to analyze two successful organizations’ Sina tweets sent from their Weibo debuts to the dates when they achieved their first milestone successes. In the analysis, the author iteratively alternated between emic data coding and etic reference to literature on social movement rhetoric and nonprofits’ microblog communication.

This study developed an indigenous communication framework featuring three key communication strategies: changing perceptions, mobilizing action, and building and maintaining relationships, each associated with specific tactics. These strategies and tactics allowed both organizations to tap into social media’s interactive features to engage publics and construct legitimacy.

This paper enriches social media-based communication research and classic social movement rhetoric, and further illustrates strategic communication’s active role in reacting to and reforming institutional contexts. Findings from study might be extended to address similar problems experienced by nonprofits across countries, especially within those that operate in a context where institutional separation from a predominant government is unavailable.

This original communication framework developed in this study crystalizes strategic microblog use by a nascent type of nonprofit when fulfilling functions reflects civil society, social movements and traditional nonprofit organizations in an understudied political and social context.

The objective of this research work is to design a data-based solution for administering traffic organization in a smart city by using the machine learning algorithm.

A machine learning framework for managing traffic infrastructure and air pollution in urban centers relies on a predictive analytics model. The model makes use of transportation data to predict traffic patterns based on the information gathered from numerous sources within the city. It can be promoted for strategic planning determination. The data features volume and calendar variables, including hours of the day, week and month. These variables are leveraged to identify time series-based seasonal patterns in the data. To achieve accurate traffic volume forecasting, the long short-term memory (LSTM) method is recommended.

The study has produced a model that is appropriate for the transportation sector in the city and other innovative urban applications. The findings indicate that the implementation of smart transportation systems enhances transportation and has a positive impact on air quality. The study's results are explored and connected to practical applications in the areas of air pollution control and smart transportation.

The present paper has created the machine learning framework for the transportation sector of smart cities that achieves a reasonable level of accuracy. Additionally, the paper examines the effects of smart transportation on both the environment and supply chain.