Digital finance and green innovation efficiency: empirical data from Chinese listed manufacturing companies.

Amid the flourishing digital economy, digital finance overcomes the constraints of the conventional financial model and largely improves the supply efficiency and use of funds. This provides new opportunities for manufacturing corporations to improve their green innovation efficiency. Employing Chinese Shenzhen and Shanghai A-share listed manufacturing corporations between 2011 and 2021, this paper conducts an empirical analysis to study the effect of digital finance on corporate green innovation efficiency. Discoveries suggest that digital finance significantly improves manufacturing corporations' green innovation efficiency. After a few robustness tests, the results are still accurate. According to a mechanism analysis, digital finance increases the effectiveness of green innovation in manufacturing corporations by removing financing constraints. According to the heterogeneity analysis, the impact of digital finance on manufacturing corporations exhibits distinctive financial and geographical regional heterogeneity, particularly accentuated in Zhejiang Province and the central and western regions. This paper can provide a valuable reference for digital finance in supporting manufacturing corporations in green innovation ventures and improving the level of green innovation in the context of digitalization.

Comparison of cardiac biomarkers on risk assessment of contrast-associated acute kidney injury in patients undergoing cardiac catheterization: A multicenter retrospective study.

AIM: Cardiac biomarkers' predictive value of contrast-associated acute kidney injury (CA-AKI) remains unclear. We analysed whether creatine kinase isoenzyme-MB (CKMB), cardiac troponin I (cTnI) and preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) are tied to CA-AKI patients undergoing cardiac catheterization. METHODS: In the multi-center study, we included 3553 people underwent cardiac catheterization for analysis. CA-AKI was defined as the absolute increase of over 0.3 mg/dL or an increase of more than 50% compared with the baseline serum creatinine within 48 hours following cardiac catheterization. Logistic regression model and receiver operating characteristic (ROC) curves were used to examine the association between cardiac biomarkers and CA-AKI and the efficacy of Mehran risk score (MRS) model on CA-AKI prediction with and without cardiac biomarkers. RESULTS: Among 3553 people, 200 people eventually developed CA-AKI. The logistic regression model showed that log10 CKMB (odds ratio (OR): 1.97, 95%CI:1.51-2.57, p < .001), cTnI (OR: 1.03, 95%CI: 1.02-1.04, p < .001) and log10 NT-proBNP (OR: 3.19, 95%CI: 2.46-4.17, p < .001) were independent predictors of CA-AKI. The ROC curve demonstrated that area under the curve (AUC) of MRS was 0.733. CKMB, cTnI and NT-proBNP all significantly improved the AUC value in combination with MRS model. (NT-proBNP: 0.798, p < .001; CKMB: 0.758, p = .003; cTnI: 0.755, p = .002), among which the NT-proBNP had the best predictive efficacy improvement. CONCLUSION: Cardiac biomarkers of CKMB, cTnI and NT-proBNP are all independently associated with CA-AKI among patients undergoing cardiac catheterization while NT-proBNP remains the best indicator. Adding CKMB, cTnI and NT-proBNP to MRS improved the prognostic efficacy and may be considered effective tools to predict the risk of CA-AKI in clinical practice.

Establishment and assessment of a preclinical model of acute kidney injury induced by contrast media combined acute myocardial ischemia reperfusion surgery.

Acute kidney injury (AKI) is a common complication after acute myocardial infarction (AMI) in clinical practice, and the majority of previous preclinical models were induced by a single factor. The objective of the present study was to establish a stable preclinic model of AKI induced by contrast media (CM) with acute myocardial ischemia reperfusion surgery and to identify the effect of oxidative stress on kidney injury. Rats were treated individually or with CM or myocardial ischemia reperfusion surgery. Renal baseline and AKI parameters, the level of oxidative stress and histopathological images were examined along with AKI biomarkers. Results showed the incidence of AKI in the CM group and ischemia reperfusion injury (IRI) group was 40%, χ2 test (P<0.05 vs. CM-IRI) and 35%, χ2 test (P<0.05 vs. CM-IRI) and the combination group had the highest incidence rate 75%. IRI surgery combined with CM diminished kidney function and induced oxidative stress by increasing creatinine, blood urea nitrogen and reactive oxygen species levels. Western blotting showed that the early AKI biomarker of NGAL and KIM-1 increased and that the combination group had the highest value. Pathology damage exhibited severe kidney damage in the combination group compared with other control groups. The present research established a reliable preclinic model of post-AMI AKI with a stable and high postoperative AKI rate. Additionally, CM was demonstrated to exacerbate AKI caused by acute myocardial infarction through oxidative stress and, thus, oxidative stress may be a potential therapeutic target.

Thermodynamic Characteristic for a Correlated Flat-Band System with a Quantum Anomalous Hall Ground State.

While the ground-state phase diagram of the correlated flat-band systems has been intensively investigated, the dynamic and thermodynamic properties of such lattice models are less explored, but it is the latter which is most relevant to the experimental probes (transport, quantum capacitance, and spectroscopy) of the quantum moiré materials such as twisted bilayer graphene. Here we show, by means of momentum-space quantum Monte Carlo and exact diagonalization, in chiral limit there exists a unique thermodynamic characteristic for the correlated flat-band model with interaction-driven quantum anomalous Hall (QAH) ground state, namely, the transition from the QAH insulator to the metallic state takes place at a much lower temperature compared with the zero-temperature single-particle gap generated by the long-range Coulomb interaction. Such low transition temperature comes from the proliferation of excitonic particle-hole excitations, which transfers the electrons across the gap between different topological bands to restore the broken time-reversal symmetry and gives rise to a pronounced enhancement in the charge compressibility. Future experiments, to verify such generic thermodynamic characteristics, are proposed.

Determination of Varying Group Sizes for Pooling Procedure.

Pooling is an attractive strategy in screening infected specimens, especially for rare diseases. An essential step of performing the pooled test is to determine the group size. Sometimes, equal group size is not appropriate due to population heterogeneity. In this case, varying group sizes are preferred and could be determined while individual information is available. In this study, we propose a sequential procedure to determine varying group sizes through fully utilizing available information. This procedure is data driven. Simulations show that it has good performance in estimating parameters.