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This article explores the development of China's international talent policy (ITP) during 1978–2020. An analytical framework is constructed to track the profound changes of ITP and examine the main driving forces for these changes. Four main phases of ITP development are identified through analyzing significant changes in the four core components of China's ITP, including guiding frameworks, hierarchy of goals, policy instruments, and governance institutions. The driving forces mainly include crises and policy problems, the authoritative CCP leadership, and government responses to crises/problems. It is concluded that the stable and authoritative leadership in a centralized government is the key to profound policy changes without fundamentally shifting the ultimate policy goal, but lacking societal forces can be problematic especially when the government role becomes weakened. [ABSTRACT FROM AUTHOR]

This study investigated the therapeutic effects of a water-soluble biphenyl compound, WLP-S-14, in acute-on-chronic liver failure (ACLF). Wistar rats were injected intraperitoneally with porcine serum twice a week for 8 weeks prior to administration of 600 mg/kg D-galactosamine and 50 μg/kg lipopolysaccharide to induce ACLF. Study groups were treated intravenously with saline or with 100 or 200 mg/kg WLP-S-14. WLP-S-14 ameliorated ACLF with significant reductions in the mortality rate and transaminase levels, indicating improved liver function. The mechanism underlying these effects may involve decreased levels of tumor necrosis factor-α and interleukin-6, with associated inhibition of apoptotic pathways. [ABSTRACT FROM AUTHOR]

With high-resolution remote-sensing data, there are numerous possible features for object description, making the selection of optimal features a time-consuming and subjective process. While substantial efforts have been made to compare the utility of feature selection metrics, less attention has been paid to the efficiency of such in the context of object-based image analysis. In this study, the statistical measurement z-score was used to ensure compatibility with objects. We assessed the feasibility of a z-score method, and then ranked and reduced input features using a backward elimination technique. The results showed that separability can be efficiently estimated based on z-score values, and the near-infrared band performed the best for crop classification. A straightforward trend was observed, and the optimal feature set was created, which was a combination of spectral, temporal, texture information and vegetation indices. These features complement one another to help increase crop map accuracy. For the 40% of the entire sample sizes, the optimal feature sets produced the best trade-off between the number of inputs and classification accuracy, with the misclassification error of 7.09%. Additionally, reliable crop maps were obtained, with the overall accuracy of 92.64%, and the z-score method showed great potential for the separability of crops at object scale using remotely sensed multi-temporal data. [ABSTRACT FROM AUTHOR]