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The rapid increase in household leverage in China has led to potential financial risks and threatened socio-economic stability. In mitigating household debt risks, the effectiveness of monetary policy regulation varies significantly with differences in household financial literacy. Based on micro-level household financial data from China, this paper delves into the impact of monetary policy on household leverage and its underlying mechanisms and analyzes the role of financial literacy in the transmission of monetary policy. The findings reveal that expansionary monetary policy helps reduce household leverage, while contractionary monetary policy leads to an increase. Monetary policy affects household leverage through the “income effect,”“wealth effect” and “substitution effect.” Notably, low financial literacy amplifies the impact of contractionary monetary policy on leverage, whereas high financial literacy mitigates this effect. This paper suggests strengthening financial regulation and risk warning systems, optimizing the design of monetary policy transmission, promoting multi-tiered financial product supply, and deepening the promotion of financial literacy education to achieve an effective balance between “stable growth” and “risk prevention.”

Basal cell carcinoma (BCC) is the most common cancer with a rising incidence among white-skinned individuals. A number of epidemiological studies have suggested that obesity and serum 25-hydroxy-vitamin D (25(OH)D) levels may affect the arising of BCC. To address this, we selected 443 and 96 single nucleotide polymorphisms (SNPs) associated with body mass index (BMI) and serum level of 25(OH)D from large-scale genome-wide association studies (GWAS), respectively. The univariable and multivariable two-sample Mendelian randomization (MR) analyses were conducted with a series of sensitivity analyses to ensure the results were reliable and reproducible. The results of univariable two-sample MR analysis showed that higher BMI was related to lower risk for BCC (Odds ratio(OR) = 0.90; 95% confidence interval (CI),[0.81,0.99]; p  = 0.02). In addition, this causal effect of BMI on BCC still remained (OR = 0.88; 95%CI,[− 0.22, − 0.03], p-value = 0.008) after adjusting for 25(OH)D level in the multivariable MR analysis. However, the results suggested that 25(OH)D level was not associated with BCC(OR = 1.02; 95%CI, [0.94,1.09], p-value = 0.67). In conclusion, similar to the conclusions of retrospective observational studies, the MR results indicate that high BMI is an independent protective factor for BCC. Meanwhile, vitamin D levels may not be causally associated with the risk of basal cell carcinoma and increasing vitamin D supplementation is unlikely to reduce the risk.

● We tracked Chinese cities’ MSW disposal infrastructure development history. ● Diverse patterns and drivers were uncovered with empirical analysis. ● Patterns were shaped by regional imbalances and features. Rapid urbanization in Chinese cities has led to a surge in municipal solid waste (MSW) generation, necessitating the development of high-quality MSW disposal facilities. This study utilizes multi-source data and regression models to examine the status, development pathways, and driving forces of MSW disposal facilities in China. Our findings reveal an inverted U-shaped relationship between the capacities or numbers of MSW disposal facilities and GDP per capita of cities. Historical data show that cities in East and Southeast China preferred incineration, while cities in West and Central China developed landfills more, largely shaped by the imbalance of development levels and endowments among regions in China. The study also identifies mixed and differentiated influences of socio-economic factors on capacity expansion and increases in the number of MSW disposal facilities. The results suggest the need for updated construction guidelines and regulations, as well as enhanced technological and managerial capabilities for MSW infrastructure. These findings can inform policymakers and practitioners in their efforts to promote sustainable waste management practices in China.

Capilliposide-A, a rare secondary saponin found in Lysimachia capillipes, has been reported to exhibit good biological activities. However, it is difficult to obtain a sufficient of capilliposide-A for further research through column chromatography and chemical synthesis. The aim of this work was to establish an efficient approach for the convenient preparation of this steroid saponin based on alkaline hydrolysis. The hydrolysis conditions were optimized by response surface methodology after a preliminary investigation of the affecting factors by single-factor experiments. Under the optimal conditions, the macroporous resin that adsorbed capilliposide-B and capilliposide-C was hydrolyzed in an 8% (w/v) NaOH solution at 35 °C for 65 h, and the yield of capilliposide-A was 68.90%. The results demonstrated that this newly developed approach is efficient for the preparation of capilliposide-A, and this approach is also crucial for further development and clinical applications.

Purpose: Perioperative sleep disorders have attracted much attention due to their high prevalence and severe harm, and the current treatment methods are insufficient. Some randomized controlled trials (RCTs) have produced controversial results on whether melatonin can improve perioperative sleep quality. This review aimed to evaluate the effects of melatonin treatment on perioperative sleep quality. Patients and Methods: A systematic search of six databases was performed to identify RCTs investigating melatonin and perioperative sleep. The outcomes analyzed were subjective sleep quality, sleep latency (SL), total sleep time (TST), sleep efficiency (SE), the behavior of awakenings and daily naps, and the incidence of poor sleep quality. RevMan 5.4 and Stata 16 software was used for the meta-analysis and sensitivity analysis, and trial sequential analysis was conducted using TSA 0.9.5.10 Beta software. This study was registered in PROSPERO (registration number: CRD42022311378). Results: 10 studies containing 725 participants were included. Melatonin improved postoperative subjective sleep quality (SMD: -0.30; 95% CI: [-0.47, -0.14]; P = 0.0004) but not preoperative sleep quality (MD: -2.76; 95% CI: [-10.44, 4.91]; P = 0.48). In the postoperative period, 6mg dose had the best efficacy (SMD: -0.31; 95% CI: [-0.57, -0.04]; P = 0.02). Melatonin increased postoperative TST (P = 0.02) and SE (P = 0.002) and decreased the incidence of postoperative poor sleep quality (P = 0.002) but had no effect on SL (P = 0.11), the number and duration of awakenings (P = 0.28; P=0.55), and the number and duration of daily naps (P = 0.26; P = 0.38). The trial sequential analysis showed that the accumulated Z value crossed both the traditional boundary value and the TSA boundary value, further confirming the stability of the result of the meta-analysis. Conclusion: Melatonin treatment can improve postoperative sleep quality. A 6mg daily dose of melatonin may have a better beneficial effect, which needs further exploration. This study supports the application of melatonin for improving postoperative sleep quality. Keywords: melatonin, sleep quality, perioperative, preoperative, postoperative, meta-analysis

Low-carbon urban policy (LCUP) and corporate green innovation are considered crucial strategies and methods for reducing urban carbon emissions, addressing climate change, and promoting urban environmental sustainability. This study constructed a quasi-natural experiment based on the low-carbon city strategy program implemented in China in 2010, utilizing data from Chinese prefecture-level cities and publicly listed companies from 2005 to 2020. Employing a multi-period difference-in-differences (DID) approach, this paper reveals that the establishment of low-carbon model cities effectively fosters green innovation in corporations. Further analysis demonstrates that this promotional effect is particularly significant in non-state-owned enterprises, enterprises with high media attention, those with a high level of digitalization, and enterprises located in cities with high levels of green finance and in the Eastern and Central regions of China. These conclusions withstood a series of robustness tests, confirming their validity. Meanwhile, the examination of policy mechanisms reveals that public environmental awareness, government environmental regulation, and corporate environmental information disclosure are three key policy transmission mechanisms through which LCUP affects corporate green innovation. The findings of this study provide significant empirical insights for addressing climate change and enhancing the sustainable capacity of urban environments.

Monodisperse CoPh nanocrystals （NCs） have been synthesized in oleylamine solution by an organic solvothermal method. The NCs were ellipsoidal particles with a diameter around 6.6 nm and length around 10 nm with a good single crystal structure. Using CoPt3 NCs as catalysts, large-area boron nanowires with diameters ranging from 30 to 50 nm were successfully prepared by chemical vapor deposition using a C/B/B203 mixture as the precursor. Structural analysis indicated that these nanowires were single crystalline with a fl-rhombohedral structure. Measurement of the field emission properties of boron nanowire films showed that the boron nanowires have good field emission characteristics.

Plug-in Hybrid Electric Vehicles (PHEVs) are increasingly favored for their low emissions and freedom from range anxiety, combining electric efficiency with the extended range of a gasoline engine. While previous research on PHEV energy consumption has predominantly focused on powertrain design and energy management strategies, there is growing recognition of the critical role played by driver behavior in determining real-world energy efficiency. Based on multi-mode vehicle data collected from real-world driving scenarios, we propose a novel dual-layer LSTM-Transformer model, named DLLT, for real-time prediction of energy consumption and driving dynamics in multi-mode PHEVs. The first layer employs an LSTM network to perform mode clustering, while the second layer conducts energy consumption regression using a Transformer model with integrated mode information. This hierarchical architecture enables adaptation to diverse driving and braking modes, significantly enhancing the model’s ability to accurately identify vehicle operation modes and precisely predict energy consumption. To more accurately validate the effectiveness of DLLT in modeling eco-driving behavior for PHEVs, we collected a large amount of multidimensional time-series data from real-world PHEVs. Experimental results demonstrate that the model achieves a 93% accuracy rate in vehicle mode prediction. Under unseen driving conditions, it attains R 2 values of 0.99 for fuel consumption, 0.86 for acceleration, and 0.81 for electric power, outperforming existing models across all evaluation metrics. With its high prediction accuracy and robust generalization capability, DLLT shows great potential for applications in PHEV eco-driving behavior analysis, intelligent energy management systems, and future autonomous driving control strategies.

Lysosomes respond to environmental cues by controlling their own biogenesis, but the underlying mechanisms are poorly understood. Here we describe a protein kinase C (PKC)-dependent and mTORC1-independent mechanism for regulating lysosome biogenesis, which provides insights into previously reported effects of PKC on lysosomes. By identifying lysosome-inducing compounds we show that PKC couples activation of the TFEB transcription factor with inactivation of the ZKSCAN3 transcriptional repressor through two parallel signalling cascades. Activated PKC inactivates GSK3β, leading to reduced phosphorylation, nuclear translocation and activation of TFEB, while PKC activates JNK and p38 MAPK, which phosphorylate ZKSCAN3, leading to its inactivation by translocation out of the nucleus. PKC activation may therefore mediate lysosomal adaptation to many extracellular cues. PKC activators facilitate clearance of aggregated proteins and lipid droplets in cell models and ameliorate amyloid β plaque formation in APP/PS1 mouse brains. Thus, PKC activators are viable treatment options for lysosome-related disorders. Using a chemical screening approach, Yang and colleagues identify PKC as a regulator of lysosome biogenesis, which controls the subcellular localization of TFEB and ZKSCAN3 through parallel signalling pathways and independently of mTORC1.

Photodynamic therapy (PDT) is clinically promising in destructing primary tumors but ineffective against distant metastases. This study reports the use of immunogenic nanoparticles mediated combination of PDT and magnetic hyperthermia to synergistically augment the anti‐metastatic efficacy of immunotherapy. Janus nanobullets integrating chlorine e6 (Ce6) loaded, disulfide‐bridged mesoporous organosilica bodies with magnetic heads (M‐MONs@Ce6) are tailored for redox/pH‐triggered photosensitizer release accompanying their matrix degradation. Cancer cell membrane cloaking enables favorable tumor‐targeted accumulation and prolonged blood circulation time of M‐MONs@Ce6. The combination of PDT and magnetic hyperthermia has a strong synergy anticancer activity and simultaneously elicits a sequence of immunogenic cell death, resulting in synergistically tumor‐specific immune responses. When combined with anti‐CTLA‐4 antibody, the biomimetic and biodegradable nanoparticle enables the notable eradication of primary and deeply metastatic tumors with low systematic toxicity, thus potentially advancing the development of combined hyperthermia, PDT, and checkpoint blockade immunotherapy to combat cancer metastasis. Janus magnetic nanoparticles are designed for redox‐/pH‐triggered photosensitizer release accompanying their matrix degradation. Cancer cell membrane cloaking improves combined photodynamic therapy and magnetic hyperthermia in a remarkable anticancer manner, which is harnessed for synergistic tumor‐specific immune response to integrate with cytotoxic T lymphocyte‐associated antigen‐4 antibody for notable eradication of primary and metastatic tumors with low systematic toxicity.