Adaptive Kalman filter boosts BDS-3 navigation accuracy in challenging environments
Peer-Reviewed Publication
Updates every hour. Last Updated: 10-Dec-2025 17:11 ET (10-Dec-2025 22:11 GMT/UTC)
Abstract
Purpose – This paper aims to identify the macro variables that affect China’s ETS market through a mixed-frequency sampling data with a variable selection model.
Design/methodology/approach – This paper focuses on the Hubei, Guangdong and Shenzhen ETS in China. It integrates exogenous factors, in aspect of economic, financial, energy and environment, to identify key drivers of ETS market volatility. First, this study applies the GARCH-MIDAS model to process mixed-frequency data. Second, this paper employs the Lasso method to select the most predictive factors and enhance volatility forecasting. Finally, this paper evaluates the effectiveness of the conclusions through model parameter estimation, out-of-sample prediction, robustness test and economic value evaluation.
Findings – First, China’s ETS market volatility is primarily driven by the energy sector, with limited influence from policy and environmental factors. Second, ETS market volatility varies across regions. The power sector strongly influences the Hubei ETS market, whereas the Guangdong and Shenzhen ETS markets are more affected by the energy market. Third, out-of-sample analysis and robustness tests statistically indicate that the GARCH-MIDAS-Adaptive-Lasso model enhances forecasting accuracy.
Originality/value – First, this paper integrates multidimensional factors into the model. Second, this paper combines the adaptive Lasso method with the GARCH-MIDAS model to analyse the volatility of China’s ETS market. This method addresses both multicollinearity and variable selection challenges in mixed-frequency data. Third, this paper offers valuable insights for other developing countries seeking to establish or enhance ETS systems.
Abstract
Purpose – With the increasing prevalence of common institutional ownership, a burgeoning literature has emerged to examine its economic consequences. However, the majority of existing studies focus on the product market and firm-level behavior and decision-making. Research on the impact of common institutional ownership on overall business strategy remains scarce. Therefore, this study aims to investigate the influence and mechanism of common institutional ownership on business strategy aggressiveness and explore the factors
that affect the relationship between the two.
Design/methodology/approach – We empirically examine the relationship between common institutional ownership and business strategy aggressiveness based on a sample of Chinese A-share listed companies from 2009 to 2023. In addition, we perform a series of endogeneity and robustness tests to validate our findings, including the Heckman two-stage tests, propensity score matching ordinary least squares, instrumental variables approach, placebo tests and remeasurement of key variables.
Findings – We find that common institutional ownership significantly reduces business strategy aggressiveness. Mechanism analyses suggest that the anti-competitive effects lead to a significant negative correlation between the two. Heterogeneity analyses indicate that the inhibitory effect of common institutional ownership on business strategy aggressiveness is more pronounced when common institutional investors are long-term oriented, the firms are state-owned and operate in non-technology-intensive industries, and the level of regional legalization is relatively low.
Originality/value – Our research provides novel evidence on how common institutional ownership shapes business strategy and presents implications for policymakers, corporations and investors.High entropy alloys (HEAs) have gained significant attention in electrocatalysis research due to their distinctive multi-element composition, intricate electronic structure, and superior properties. By harnessing multi-component synergy, precise electron regulation, and the high-entropy effect, HEA electrocatalysts exhibit remarkable catalytic activity, selectivity, and stability. These materials demonstrate outstanding catalytic performance in a variety of electrocatalytic small molecule reduction reactions, including oxygen reduction (ORR), hydrogen evolution (HER), and CO2 reduction (CO2RR), making them promising candidates for clean energy conversion and storage applications, including fuel cells, metal-air batteries, water electrolysis, and CO2 conversion technologies. This review highlights recent advancements in HEA electrocatalyst research, focusing on their synthesis, characterization, and applications in electrocatalytic small molecule reduction reactions. It also explores the underlying mechanisms of the high-entropy effect, multi-component synergy, and structural design. Finally, it discusses key challenges that remain in the application of HEAs for electrocatalytic small molecule reduction and outlines potential directions for future development in this field.
Fiber-shaped energy storage devices (FSESDs) with exceptional flexibility for wearable power sources should be applied with solid electrolytes over liquid electrolytes due to short circuits and leakage issue during deformation. Among the solid options, polymer electrolytes are particularly preferred due to their robustness and flexibility, although their low ionic conductivity remains a significant challenge. Here, we present a redox polymer electrolyte (HT_RPE) with 4-hydroxy-2,2,6,6-tetramethylpiperidine-1-oxyl (HT) as a multi-functional additive. HT acts as a plasticizer that transforms the glassy state into the rubbery state for improved chain mobility and provides distinctive ion conduction pathway by the self-exchange reaction between radical and oxidized species. These synergetic effects lead to high ionic conductivity (73.5 mS cm−1) based on a lower activation energy of 0.13 eV than other redox additives. Moreover, HT_RPE with a pseudocapacitive characteristic by HT enables an outstanding electrochemical performance of the symmetric FSESDs using carbon-based fiber electrodes (energy density of 25.4 W h kg−1 at a power density of 25,000 W kg−1) without typical active materials, along with excellent stability (capacitance retention of 91.2% after 8,000 bending cycles). This work highlights a versatile HT_RPE that utilizes the unique functionality of HT for both the high ionic conductivity and improved energy storage capability, providing a promising pathway for next-generation flexible energy storage devices.
A team led by Pei-Yi Wu and Sheng-Tong Sun at Donghua University reported a strong hydrogel fiber material with water-induced adhesion properties that resolves the structural contradiction of simultaneously achieving mechanical strength and self-adhesion. The fiber exhibits reversible humidity-responsive characteristics, maintaining high strength in a dry state and rapidly transforming into a highly adhesive state upon contact with water. This water-activated self-adhesive behavior is completely reversible, providing new insights for the design of high-performance adhesive materials in fields such as intelligent capture and micro-soft robots. The article was was recently published as an open access research article in CCS Chemistry, the flagship journal of the Chinese Chemical Society.
In an innovative twist to sustainable agriculture, a new study reveals how sugarcane waste can be transformed into biochar—a powerful soil amendment that enhances soil quality. This research not only highlights a green approach to waste management but also provides a significant boost to soil health, offering a win-win for both the environment and farming practices.