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The use of digital technology is crucial for building resilience and shaping competitive advantages in project-based organizations (PBOs). The purpose of this study is to explore the impact of digital elements on organizational resilience and resilience enhancement paths in PBOs represented by the construction industry in the context of digitization.

This study uses multivalue-set qualitative comparative analysis (mvQCA). First, we collect digitization keywords from the annual reports of PBOs in the construction industry and classify them as process digitization, digital technology application and production intelligence while also considering word frequency statistics as antecedent conditions. Second, through a literature review and the use of the data collected, we define organizational resilience as the ability of organizations to defend, resist, recover and develop. Then, we use the mvQCA approach to examine how digital antecedent variables collectively advance PBO resilience.

By collecting data on 79 listed Chinese construction companies and utilizing mvQCA, we identify five combinations of conditions that produce high levels of organizational resilience, and the solution coverage is 1. These methods are (1) digital technology application-oriented, (2) process digitalization-oriented, (3) digitized multifactor coupling, (4) process digitization and digital technology application-driven and (5) process digitalization and production intelligence-driven.

These findings have important theoretical and practical implications for revealing the digital-driven path to high levels of PBO resilience. In theory, this study enriches the research on organizational resilience and expands the application scope of organizational resilience theory and the QCA method. Furthermore, this study provides new ways and ideas for PBOs to effectively integrate and utilize internal and external digital resources to increase their levels of organizational resilience.

As the pioneer nation to formally integrate data as a factor of production into its national strategy, does China’s research emphasis on data factor market differ from that of other countries? Currently, there is a notable absence of comprehensive comparative analyses addressing this issue. The purpose of this study is to fill this gap by systematically reviewing the development trajectory of research on the data factor market from a governance perspective.

In this study, the authors used Citespace software to conduct bibliometric analyses on a corpus of 1,304 international publications and 1,249 Chinese publications. These analyses encompassed various dimensions, including publication quantity and trend analysis, cocitation analysis and keyword cooccurrence analysis, while also facilitating a comparative examination of research disparities between Chinese and international literature.

There are significant differences between Chinese and international data factor market studies in terms of governance environment, governance entities, governance technology and governance mechanism. The authors strongly advocate the promotion of cross-border research collaboration to advance the research and application of data factor market governance.

The authors have innovatively proposed a framework for data factor market governance. Building upon this framework, the authors conducted a comprehensive comparative analysis of research disparities between Chinese and international literature, thereby unveiling emerging research trends in the field of data factor market.

This paper aims to present an unmarked method including entire two-dimensional (2D) and three-dimensional (3D) methods to recover absolute 3D humanoid robot poses from multiview images.

The method consists of two separate steps: estimating the 2D poses in multiview images and recovering the 3D poses from the multiview 2D heatmaps. The 2D one is conducted by High-Resolution Net with Epipolar (HRNet-Epipolar), and the Conditional Random Fields Humanoid Robot Pictorial Structure Model (CRF Robot Model) is proposed to recover 3D poses.

The performance of the algorithm is validated by experiments developed on data sets captured by four RGB cameras in Qualisys system. It illustrates that the algorithm has higher Mean Per Joint Position Error than Direct Linear Transformation and Recursive Pictorial Structure Model algorithms when estimating 14 joints of the humanoid robot.

A new unmarked method is proposed for 3D humanoid robot pose estimation. Experimental results show enhanced absolute accuracy, which holds important theoretical significance and application value for humanoid robot pose estimation and motion performance testing.

The purpose of this paper is to investigate the effect of plasma electrolytic oxidation (PEO) coatings and sealed PEO coatings on the corrosion resistance and cytocompatibility of a novel Mg-1Zn-0.45Ca alloy in simulated body fluid (SBF).

The microstructure, corrosion resistance and cytocompatibility of PEO coatings and phosphate conversion-treated PEO coatings were investigated and was compared with the bare Mg alloy.

The hot-extruded Mg-Zn-Ca alloy exhibit inhomogeneous microstructure and suffered from localized corrosion in the SBF. The PEO coating after phosphate conversion treatment offers enhanced protectiveness to the Mg alloy within an immersion period of up to 60 days, which is significantly improved compared with the performance of the PEO-coated Mg alloy, but the cytocompatibility was slightly decreased.

This work offers new perspective in balancing the protectiveness and cytocompatibility of bio-materials.

This study explores the effects of virtual streamer characteristics, virtual scene characteristics and streamer image-scene fit on users’ watching intention from the perspective of flow experience.

The survey data for this study were collected from the QQ fan group of virtual streamers between November 26th 2022 and December 5th 2022. The authors survey 274 viewers who have experience of watching virtual streaming and employ the partial least squares structural equation model to test the research hypotheses.

Among the characteristics of virtual streamers, interactivity significantly influences users’ perceived enjoyment and concentration, while vividness only affects perceived enjoyment. In addition, the novelty of the virtual scene has a notable impact on users’ perceived enjoyment and concentration, whereas aesthetic appeal serves as an important indicator solely for concentration. Furthermore, the virtual streamer image-scene fit also affects users’ perceived enjoyment and concentration. Finally, perceived enjoyment and concentration equally contribute to users' watching intention.

This study explores the impact of virtual streamer characteristics, virtual scene characteristics and streamer image-scene fit on users’ watching intention, which enriches the research on user behavioral intention in virtual streaming. Additionally, this study attempts to combine the stimulus-organism-response (S-O-R) model and flow theory in the field of virtual streaming, expanding the research areas. Finally, this study also provides valuable insights for virtual streamers and virtual streaming platforms. By enhancing their virtual personas and optimizing their streaming strategies, virtual streamers can more effectively retain users and maintain audience engagement. Meanwhile, virtual streaming platforms can gain a deeper understanding of user preferences, enabling them to launch high-quality events that sustain user popularity. These efforts collectively contribute to the advancement of the virtual streaming industry.

Natural food colors used in food are generally perceived as additives. Therefore, many studies have been conducted to prove the health benefits and risks of using natural food colors, which play an important role in the food industry, and to identify realistic stabilization methods. This paper aims to examine the health effects of natural food colors from a pharmacological approach.

The paper searches for relevant literature using keywords such as “natural food coloring”, “stabilization” and “antioxidant effects”. For the case study area, this paper added “food science and technology” to identify methods for stabilizing natural food coloring. From this review, the authors ultimately selected 79 articles that appeared to meet the research objectives.

When using natural food coloring in food, there are concerns about stabilization. However, with the development of food science and technology, the authors have found that there are multi-layer emulsification methods that can be applied before, during and after food manufacturing, and storage standards are also important. Natural food coloring is playing a diverse role in food science.

Natural food coloring has been reported in various types of literature to have antioxidant, anti-inflammatory and antitumor effects. The most common pigments are carotenoids. Considering the positive effects of natural food coloring on human health, the authors suggest future directions for the development of food science and technology and provide a perspective for changing consumer perceptions.