China’s concern toward ecological sustainability has increased to a great extent. This study aims to analyze the impact of proactive environmental strategies on ecological sustainability by understanding the mediating of eco-product, process, and organizational innovation. For this purpose, China’s high-tech industries have been targeted and a survey-based quantitative technique has been applied. 350 questionnaires were distributed among the Chinese staff in the high-tech companies and 319 were received as complete questionnaires that were further analyzed using SPSS and AMOS to analyze the data with confirmatory factor analysis and structural equation modelling. The results indicated a significant impact of PES on ES. The mediation of EPR, EPRD, and EOI has also resulted to be significant between PES and ES. This study has practically contributed to the high-tech sectors of China. There is a great need for the management to apply proactive environmental initiatives that are crucial to gain ecological sustainability.

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Achieving enduring economic development is the biggest challenge of today’s humanity. However, at present, there is a consensus that the digital economy plays a significant role in achieving sustainable economic development. The advancement of the digital enterprise is critical for obtaining socioeconomic stability and growth. In explanation, this study focuses on gaining economic progression through deploying the modern concept of digitalization. The study analyzes the mediating relationship of digital enterprise among e-commerce, digitalization, and digital marketing and their effect on China’s economic development while considering sustainability as a moderating variable. The study has used primary data collection techniques, and the study sample size is 400 respondents. The research has used SmartPLS software to measure the relationship through bootstrapping and algorithms. The study has found significant positive mediation of digital enterprise and moderation of sustainability between digital enterprise and economic development. This study suggests the theoretical and practical implications toward political stability, policymakers, and researcher perspective.

The development of cyber-physical power systems raises concerns about the data quality issue of phasor measurement units (PMUs). Low signal-to-noise ratios (SNRs) and data losses caused by malicious electromagnetic interference, false data injections, and equipment malfunctioning may jeopardize the data integrity and availability necessary for power system monitoring, protection, and control. To ensure grid resiliency, this paper proposes a robust fast PMU measurement recovery (RFMR) algorithm based on improved singular spectrum analysis (SSA) of Hankel structures. It utilizes single or multiple channels of PMU time-series to restore the problematic phasor measurements with low-SNR noises and data losses. Additionally, the traditional singular value decomposition (SVD) and Tucker decomposition (TD) in RFMR are replaced by randomized SVD (RSVD) and sequential TD (STD) to reduce the computational complexity in single-channel and multi-channel RFMR, respectively. Numerical case studies demonstrate that the proposed algorithm can recover the noise-contaminated measurements with higher accuracy than existing methods, such as matrix/tensor decomposition approaches and robust principal component analysis (RPCA), and effectively complement the missing data with the observed measurements corrupted by low SNRs. Moreover, the latency margins of various power system synchrophasor application scenarios can be satisfied with the reduced computational complexity.

By properly controlling casting parameters such as pouring temperature, casting velocity and water flux, direct chill (DC) casting can be employed to produce refined microstructure in the hypereutectic Al-Si alloys without chemical modification. This refined microstructure is characterized of fine primary Si particles, fully developed dendritic Al halos and fine coupled eutectics. In this work, in situ measurements of temperature field in the mould during DC casting of Al-16Si alloy at casting velocity of 2.17 mm/s, 3.5 mm/s and 4.34 mm/s at a pouring temperature of 800 o C were performed. The results show that the primary Si phase nucleated at considerable undercooling (about 27 o C to 38 o C) and the growth temperature of dendritic Al halos was 7 o C to 8 o C below the equilibrium eutectic temperature. In the center regions of the DC cast billet, halos are fully developed because the G l /R value is low.