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In an era marked by growing environmental concerns, businesses are increasingly recognizing the importance of Corporate Social Responsibility (CSR) in influencing customer behavior, particularly in the context of sustainability and green practices. This paper aims to examine the impact of Corporate Social Responsibility (CSR) on Customer Green Behavior (CGB) through the mediating role of corporate image, service quality, customer trust and customer satisfaction.

A convenient sampling technique was employed to collect the data sample. A total of 741 questionnaires were distributed across four different hotel sectors in China. By using Structural Equation Modeling, the results suggest that CSR significantly influences CGB. Moreover, corporate image, service quality, customer trust and customer satisfaction show a partial mediating effect in the relationship between CSR and CGB.

The study findings suggest that the hotel industry should invest in CSR initiatives to enhance CGB by conducting pro-environmental activities. This study emphasizes how important CSR initiatives are in encouraging customers to adopt eco-friendly behavior. Overall, the results of this study extend the understanding of CSR, CGB, corporate image, service quality, customer trust and customer satisfaction in the context of the hotel industry and offer theoretical and managerial implications for developing and developed economies.

The originality value of this research lies in its comprehensive examination of the mediating effects of corporate image, service quality, customer trust and customer satisfaction on the relationship between CSR and CGB in the hotel industry. Furthermore, the study’s focus on the specific context of China adds novel insights to the existing literature on CSR and CGB. Discussions, limitations and research suggestions for future study are also provided.

Multi-cycle Learning Study and multi-cycle Lesson Study are the main collaborative action research approaches for teacher professional development in Hong Kong. The sustaining of these Lesson Study innovations may be inhibited by many challenges. The purpose of this paper is to identify the strategies school leaders utilized to overcome challenges and sustain Lesson Study innovations successfully in a Hong Kong primary school.

In-depth case study was adopted as the methodological approach to explore how Lesson Study was implemented to improve teaching and learning in the school and what leadership practices were enacted to sustain Lesson Study in the case school.

It was found that the leadership team under study had adopted positive peer leadership to successfully implement Lesson Study activities. The strategies of positive peer leadership will be discussed in detail.

The paper concludes with implications for sustaining school development and professional development with Lesson Study and a checklist of positive peer leadership practices for school leaders, teacher leaders and teacher trainers.

This paper will enrich the understanding of successful leadership practices for sustaining Lesson Study innovations in schools, on which few empirical studies have been conducted.

This study aims to solve the problem that under light-load conditions, the output voltage regulation capability is lost due to the fact that the voltage gain of the LLC resonant converter does not decrease with the increase of the switching frequency.

In this paper, the impedance model considering the parasitic parameters of the primary and secondary sides is calculated under light-load conditions, the limitations of the previous method are explained and a new circuit improvement is proposed.

In this paper, an improved circuit is proposed, and the impedance Bode plot is used to verify that the circuit can effectively improve the voltage gain problem under light-load conditions. Finally, the experimental results verify the effectiveness of the proposed circuit through comparison with traditional solutions and circuits.

In this paper, the impedance model considering the parasitic parameters of the primary and secondary sides is calculated, the limitations of the previous method are explained and a new circuit improvement is proposed. When compared with the previous method, the proposed circuit improvement can suppress the voltage gain increase that occurs when the switching frequency increases to a certain level.

This paper aims to provide a framework of the supervised hyperspectral classification, to study the traditional flowchart of hyperspectral image (HIS) analysis and processing. HSI technology has been proposed for many years, and the applications of this technology were promoted by technical advancements.

First, the properties and current situation of hyperspectral technology are summarized. Then, this paper introduces a series of common classification approaches. In addition, a comparison of different classification approaches on real hyperspectral data is conducted. Finally, this survey presents a discussion on the classification results and points out the classification development tendency.

The core of this survey is to review of the state of the art of the classification for hyperspectral images, to study the performance and efficiency of certain implementation measures and to point out the challenges still exist.

The study categorized the supervised classification for hyperspectral images, demonstrated the comparisons among these methods and pointed out the challenges that still exist.

This paper aims to establish a systematic cognition to alleviate the supply–demand contradiction in rural financial markets from an integrated perspective of knowledge management and proposes the concept of rural financial knowledge ecosystem (RFKE) to encourage multifaceted solutions.

The authors qualitatively describe the process that the knowledge management dilemmas cause the supply–demand contradiction in the rural finance and further summarize a systematic methodology from three dimensions: the knowledge subject, the knowledge environment and the knowledge ecology.

The authors list four types of knowledge management dilemmas leading to the supply–demand contradiction in the rural finance, i.e. the weak knowledge sharing, the poor knowledge flow, the slow knowledge updating and the imperfect knowledge environment. Meanwhile, the RFKE model consisting of the ecological subject, the ecological environment and the ecological regulation is also presented.

The role of knowledge management in improving the allocation of financial resources to various rural financial market participants (government, rural financial institutions, farmers, agricultural enterprises, etc.).

The authors creatively give the RFKE model, which complements and enriches the theory of knowledge management. Meanwhile, relevant management practices are urgently needed under the macro circumstance of the COVID-19 pandemic and the rural revitalization in China.

The stock indexes are an important issue for investors, and in this paper good trading strategies will be aimed to be adopted according to the accurate prediction of the stock indexes to chase high returns.

To avoid the problem of insufficient financial data for daily stock indexes prediction during modeling, a data augmentation method based on time scale transformation (DATT) was introduced. After that, a new deep learning model which combined DATT and NGRU (DATT-nested gated recurrent units (NGRU)) was proposed for stock indexes prediction. The proposed models and their competitive models were used to test the stock indexes prediction and simulated trading in five stock markets of China and the United States.

The experimental results demonstrated that both NGRU and DATT-NGRU outperformed the other recurrent neural network (RNN) models in the daily stock indexes prediction.

A novel RNN with NGRU and data augmentation is proposed. It uses the nested structure to increase the depth of the deep learning model.

This paper aims to better design the resonant tank parameters for LLC resonant converter. And, it is found that under heavy load, the voltage gain is affected by junction capacitors of the primary side switching and the parasitic parameters of the secondary side diodes converted to the primary side, which will cause the voltage gain decreased when the switching frequency decreased.

This paper proposes an optimization parameters design method to solve this problem, which was based on impedance model considering the parasitic parameters of switching devices and diodes.

The effectiveness of the proposed method is verified by impedance Bode plots and experimental results.

From the perspective of impedance modeling, this paper finds the reasons for the insufficient voltage regulation capability of LLC resonant converters under heavy load and finds solutions through analysis.

The purpose of this paper is to investigate the effect of different soldering temperatures on the performance of chip-on-board (COB) light sources during vacuum reflow soldering.

First, the influence of the void ratio of the COB light source on the steady-state voltage, luminous flux, luminous efficiency and junction temperature has been explored at soldering temperatures of 250°C, 260°C, 270°C, 280°C and 290°C. The COB chip has also been tested for practical application and aging.

The results show that when the soldering temperature is 270°C, the void ratio of the soldering layer is only 5.1%, the junction temperature of the chip is only 76.52°C, and the luminous flux and luminous efficiency are the highest, and it has been observed that the luminous efficiency and average junction temperature of the chip are 107 lm/W and 72.3°C, respectively, which meets the requirements of street lights. After aging for 1,080 h, the light attenuation is 84.64% of the initial value, which indicates that it has higher reliability and longer life.

It can provide reference data for readers and people in this field and can be directly applied to practical engineering.