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Global climate change has become one of the most large-scale, widespread, and far-reaching challenges facing mankind. Against this background, China has proposed a "dual-carbon" target in 2020, which greatly demonstrates China's determination and commitment to carbon emission reduction, and the burden of realizing the "dual-carbon" target is mainly borne by heavy polluters. The burden of achieving the "dual-carbon" goal is mainly borne by the heavily polluting firms. Although this has increased the economic burden of the firms to a certain extent, carbon information disclosure reduces the degree of information asymmetry and also obtains the support of the government, which improves the financial performance of the firms. Based on the data of A-share listed companies in Shanghai and Shenzhen in the heavy pollution industry in 2013–2023, this paper analyzes the relationship between carbon information disclosure, and corporate financial performance according to signaling theory, rent-seeking theory, and sustainable development theory. It is found that enhanced corporate carbon disclosure can significantly improve corporate financial performance, and the main effect is realized through reducing debt financing costs and increasing the proportion of institutional investors' shareholding. In the heterogeneity analysis, this paper finds that the main effect is more significant in the samples of firms located in the western region and the central region. Based on existing research, this paper deepens the study of the relationship between carbon disclosure and corporate financial performance. By integrating the multiple perspectives of signaling theory, rent-seeking theory and sustainable development theory, this paper systematically analyzes how creditors, institutional investors and other stakeholders play a role in the dynamic interaction between carbon disclosure and corporate financial performance, and reveals the motives and mechanisms behind the behaviors of these stakeholders. In order to further refine the analysis path, this paper constructs an intermediary model in order to deconstruct the deep logic of the path and mechanism through which carbon disclosure indirectly affects corporate financial performance. This model not only enhances the theoretical explanatory power, but also provides a more refined analytical framework for empirical testing, which helps to reveal the "black box" mechanism of carbon disclosure's impact on corporate financial performance. In addition, in view of China's vast territory and the uneven level of economic development between regions, this paper adopts a differentiated analysis strategy, based on the economic characteristics of the regions where the heavy polluters are located, and divides the whole sample into three sub-samples for independent regression analysis. This heterogeneity test incorporates inter-regional development differences into the scope of analysis, making the research conclusions more geographically specific and policy-guiding significance. By comparing and analyzing the differences in the impact of carbon disclosure on the financial performance of enterprises in different regions, this paper provides a reference for the government to formulate differentiated carbon disclosure policies in the future, accurately promote the construction of the carbon trading market, and efficiently achieve the carbon emission reduction targets at the national level. [ABSTRACT FROM AUTHOR]

Using the sample of Chinese A-share listed firms from 2010 to 2020, this study examines the impact of non-controlling large shareholders (NCLSs) on corporate capital structure adjustment. The results show that NCLSs significantly increase the dynamic capital structure adjustment speed and reduce capital structure deviation. NCLSs have an asymmetric influence on capital structure adjustment speed for different deviation directions, i.e. compared to the speed of upward adjustment after a downward deviation of the capital structure, the effect of NCLSs on the speed of downward adjustment of the capital structure after an upward deviation is stronger. Whether in state-owned enterprises (SOEs) or non-state-owned enterprises (NSOEs), NCLSs significantly increase the dynamic capital structure adjustment speed. However, compared with SOEs, NCLSs in NSOEs have a more significant positive impact on the dynamic capital structure adjustment speed. The mechanism analysis suggests that reducing agency costs and mitigating financing constraints serve as the important channels through which NCLSs influence the dynamic adjustment of capital structure. This paper not only enriches and improves the theoretical basis of dynamic capital structure adjustment, but also helps to deepen the understanding of dynamic capital structure adjustment of Chinese listed firms. [ABSTRACT FROM AUTHOR]

This study was designed to explore whether aquaporin 1(AQP1), P53 and P21 can be used as diagnostic biomarkers of lipopolysaccharide (LPS)-induced acute kidney injury (AKI) and potential indicators of sepsis-induced multiple organ injury. Bioinformatics results demonstrated that AQP1, P53, P21 was dramatically elevated 6h after Cecal ligation and puncture (CLP)-AKI in rat renal tissue. The expression of AQP1, P53, P21, NGAL and KIM-1 in kidney were increased significantly at first and then decreased gradually in LPS-induced AKI rats. Histopathological sections showed swelling of tubular epithelial cells and destruction of basic structures as well as infiltration of numerous inflammatory cells in LPS-induced AKI. Moreover, the expressions of AQP1, P53 and P21 in heart were significantly increased in LPS treatment rats, while the AQP1 expressions in lung and small intestine were significantly decreased. The level of NGAL mRNA in heart, lung and small intestine was firstly increased and then decreased during LPS treatment rats, but the expression of KIM-1 mRNA was not affected. Therefore, our results suggest that AQP1, P53 and P21 is remarkably upregulated in LPS-induced AKI, which may be considered as a potential novel diagnostic biomarker of Septic AKI. NGAL may serve as a biomarker of sepsis-induced multiple organ damage during the process of LPS-induced AKI. [ABSTRACT FROM AUTHOR]

Objective: In this study, we evaluated the efficacy of hydroxychloroquine (HCQ) against coronavirus disease 2019 (COVID-19) via a randomized controlled trial (RCT) and a retrospective study. Methods: Subjects admitted to 11 designated public hospitals in Taiwan between April 1 and May 31, 2020, with COVID-19 diagnosis confirmed by pharyngeal real-time RT-PCR for SARS-CoV-2, were randomized at a 2:1 ratio and stratified by mild or moderate illness. HCQ (400 mg twice for 1 d or HCQ 200 mg twice daily for 6 days) was administered. Both the study and control group received standard of care (SOC). Pharyngeal swabs and sputum were collected every other day. The proportion and time to negative viral PCR were assessed on day 14. In the retrospective study, medical records were reviewed for patients admitted before March 31, 2020. Results: There were 33 and 37 cases in the RCT and retrospective study, respectively. In the RCT, the median times to negative rRT-PCR from randomization to hospital day 14 were 5 days (95% CI; 1, 9 days) and 10 days (95% CI; 2, 12 days) for the HCQ and SOC groups, respectively (p = 0.40). On day 14, 81.0% (17/21) and 75.0% (9/12) of the subjects in the HCQ and SOC groups, respectively, had undetected virus (p = 0.36). In the retrospective study, 12 (42.9%) in the HCQ group and 5 (55.6%) in the control group had negative rRT-PCR results on hospital day 14 (p = 0.70). Conclusions: Neither study demonstrated that HCQ shortened viral shedding in mild to moderate COVID-19 subjects. [ABSTRACT FROM AUTHOR]