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This paper aims to extract the universal results or conclusions with high value from the existing research conclusions, further compares the research results of knowledge search and its various dimensions on the impact of enterprise innovation performance in the existing research and supports the decision of which knowledge search to give priority to in the context of limited resources.

Based on the resource-based theory and resource dependence theory, this paper uses meta meta-analysis method to quantitatively synthesize multiple representative literature on the relationship between knowledge search and enterprise innovation performance, build a theoretical model of knowledge search and its dimensions and enterprise innovation performance and explore the internal mechanism of enterprises to improve innovation performance through knowledge search.

The results show the following: knowledge search behavior promotes the innovation performance of Chinese enterprises; expanding the width of knowledge search and deepening the depth of knowledge search have a positive impact on improving the innovation performance of Chinese enterprises; enterprise scale, industry field, development stage and other factors regulate the contribution of knowledge search width and depth to improving the innovation performance of Chinese enterprises.

This paper effectively clarifies the regulatory role of each dimension of knowledge search, makes reasonable explanations for different conclusions that are ambiguous or conflicting and answers questions like how knowledge search is related to enterprise innovation performance and what kind of knowledge search is more effective so as to provide some useful practical guidance and inspiration for enterprises to carry out innovation activities.

This paper aims to address the limitations of current deep learning algorithms for sound source localization (SSL), which focus on a single feature and frequency scale, neglecting the integration of multi-scale information. The method developed in this study enhances localization accuracy by effectively using the spatial information and spectral diversity provided by microphone arrays.

The method is based on a multi-scale cross-short-time Fourier transform (STFT) complex-valued convolutional neural network (CCNN). It uses cross-STFT spectra at different scales to capture detailed acoustic information across various frequencies. The effectiveness of the algorithm was validated through both simulations and experimental studies.

Experimental results demonstrate that the proposed multi-scale cross-STFT CCNN not only outperforms the single-scale cross-STFT model but also delivers superior localization performance compared to other advanced methods, achieving consistently higher accuracy. The method shows excellent robustness across various signal-to-noise ratio (SNR) conditions and performs well even on imbalanced datasets, confirming its strong generalization capabilities.

This paper introduces a novel approach to SSL that integrates multi-scale information, addressing a key limitation of existing methods. The findings offer significant value to researchers and practitioners in the field of acoustic signal processing, particularly those focused on deep learning-based localization techniques.

The indigenous and sustainable knowledge possessed by the tribal people and communities plays an extremely important role in the conservation of the climate. As per the United Nations Sustainable Development Goals (UN SDGs), tribal communities play an important role in preserving traditional knowledge, culture, food practices and textiles. The remains of the Indus Valley civilisation highlight the importance of the culture and religion. Animism and the worship of nature to achieve success in routines and tasks have been practised by these tribes for centuries. India is a mosaic of more than 705 different colourful tribes, and each of these tribes has their own identity that differentiates it from the other tribes. With increasing ecological complexities, the knowledge owned by the tribes is extremely useful in the preservation of the climate. This chapter seeks to explore the various hues and colours that constitute the mosaic of Indian tribal culture.

Acoustic signals of the underwater targets are susceptible to noise, reverberation, submarine topography and biology, therefore it is difficult to precisely locate underwater targets. This paper proposes a new underwater Hanbury Brown-Twiss (HBT) interference passive localization method. This study aims to achieve precise location of the underwater acoustic targets.

The principle of HBT interference with ultrasensitive detection characteristics in optical measurements was introduced in the field of hydroacoustics. The coherence of the underwater target signal was analyzed using the HBT interference measurement principle, and the corresponding relationship between the signal coherence and target position was obtained. Consequently, an HBT interference localization model was established, and its validity was verified through simulations and experiments.

The effects of different array structures on the localization performance were obtained by simulation analysis, and the simulations confirmed that the HBT method exhibited a higher positioning accuracy than conventional beamforming. In addition, the experimental analysis demonstrated the excellent positioning performance of the HBT method, which verified the feasibility of the proposed method.

This study provides a new method for the passive localization of underwater targets, which may be widely used in the field of oceanic explorations.

This paper aims to provide a review of the challenges facing the reform of SOEs, and to address the impacts of SOE reform on business executives, on the base of literature review and empirical data collected in Guangzhou, China.

A qualitative research on the base of literature review, supported by empirical data collected from surveys, interviews, and focus group discussion.

Although China has made significant achievement in economic reform and the transition into a market system and civil society since 1978, there are still fundamental challenges associated with the reform of state owned enterprises (SOEs). It seems that privatisation will not necessarily solve the complex problems associated with SOEs. This paper suggests that a balanced approach reflecting the best of SOE provision and triple bottom line management appears to provide the best way forward for continuing prosperity in China. The current direction of SOE reform seems to have been driven by privatisation and economic rationalism, rather than a more balanced economic and social strategy. If this trend continues, the challenges for business executives, and the general society, can be overwhelming, and not lead to a more sustainable economy, let alone society, in the medium to long term.

Reform of SOEs has impacted on China fundamentally. Against the common view that business managers are the social group that is benefiting from SOE reform, this paper focuses on factors affecting the economic and social status of business executives, especially the challenges associated with the reform of SOEs. Supported by primary and secondary data sources, it draws attention to the situation that although the economic and social status of business executives continues to rise in China, insecurity and stress on business executives are growing. Reforms associated with changing SOEs are viewed as possible sources of challenges facing the Chinese economy and business life. Current SOE reform seems to have focused on the economic bottom line. A more balanced approach in the reform of SOEs is suggested for a more sustainable economy and society.

Existing research focuses on the pension systems and reforms in China from a macro-level and financial perspective. The expectations of mid-life Chinese people regarding their retirement and pensions have been ignored to date, and this research set out to address this lacuna.

The application of qualitative research methods is relatively novel in Chinese social science. As a grounded theory (GT) study, the research reported here deployed semi-structured interviews to investigate middle-aged Chinese women's and men's perceptions of their pensions and retirement. In total, 36 interviews were conducted, following the constructivist GT method.

The data point to disparities between the choices and perceptions of individuals on the one hand and the official assumptions underlying the current pension regime on the other hand. Research participants had varying interpretations of the inequality in retirement incomes in China, the main division being between enterprise workers and public-sector employees.

Although there are in principle rigidly fixed retirement ages for men and women in contemporary China, the phenomena of early retirement and working post-retirement are increasing. There are trade-offs between work/retirement and family needs, which influence the choices of middle-aged citizens. Retirement pathways are increasingly individualised, reflecting broader patterns of individualisation and inequality in China.