Can digital finance drive urban–rural integration?

Financial services are an essential source of capital and play a crucial and significant role in urban–rural integration. We analyse empirically the effect of digital finance on urban–rural integration and its mechanism using provincial panel data in China for 2011–2020. The results indicate that digital finance contributes to urban–rural integration. Moreover, for every 1 standard deviation increase in digital finance development, the degree of urban–rural integration increases by 7.7% on average, and it is more evident in China’s eastern regions, with regional heterogeneity. The level of entrepreneurship can be a vital channel for digital finance to facilitate urban– rural integration. The mechanism of action of digital finance to facilitate urban–rural integration by improving entrepreneurship levels is primarily revealed in the group with lower levels of human capital, which exhibits certain inclusive characteristics. This study is conducive to developing a policy for promoting the free flow of resources between urban and rural areas and advancing urban–rural integration

SigFlux: A novel network feature to evaluate the importance of proteins in signal transduction networks

BACKGROUND: Measuring each protein's importance in signaling networks helps to identify the crucial proteins in a cellular process, find the fragile portion of the biology system and further assist for disease therapy. However, there are relatively few methods to evaluate the importance of proteins in signaling networks. RESULTS: We developed a novel network feature to evaluate the importance of proteins in signal transduction networks, that we call SigFlux, based on the concept of minimal path sets (MPSs). An MPS is a minimal set of nodes that can perform the signal propagation from ligands to target genes or feedback loops. We define SigFlux as the number of MPSs in which each protein is involved. We applied this network feature to the large signal transduction network in the hippocampal CA1 neuron of mice. Significant correlations were simultaneously observed between SigFlux and both the essentiality and evolutionary rate of genes. Compared with another commonly used network feature, connectivity, SigFlux has similar or better ability as connectivity to reflect a protein's essentiality. Further classification according to protein function demonstrates that high SigFlux, low connectivity proteins are abundant in receptors and transcriptional factors, indicating that SigFlux candescribe the importance of proteins within the context of the entire network. CONCLUSION: SigFlux is a useful network feature in signal transduction networks that allows the prediction of the essentiality and conservation of proteins. With this novel network feature, proteins that participate in more pathways or feedback loops within a signaling network are proved far more likely to be essential and conserved during evolution than their counterparts

A nonparametric model for quality control of database search results in shotgun proteomics

<p>Abstract</p> <p>Background</p> <p>Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bottleneck in MS/MS data processing. Recently, methods based on a randomized database have become popular for quality control of database search results. However, a consequent problem is the ignorance of how to combine different database search scores to improve the sensitivity of randomized database methods.</p> <p>Results</p> <p>In this paper, a multivariate nonlinear discriminate function (DF) based on the multivariate nonparametric density estimation technique was used to filter out false-positive database search results with a predictable false positive rate (FPR). Application of this method to control datasets of different instruments (LCQ, LTQ, and LTQ/FT) yielded an estimated FPR close to the actual FPR. As expected, the method was more sensitive when more features were used. Furthermore, the new method was shown to be more sensitive than two commonly used methods on 3 complex sample datasets and 3 control datasets.</p> <p>Conclusion</p> <p>Using the nonparametric model, a more flexible DF can be obtained, resulting in improved sensitivity and good FPR estimation. This nonparametric statistical technique is a powerful tool for tackling the complexity and diversity of datasets in shotgun proteomics.</p

Effect of the of remazolam toluenesulfonate and IPACK on postoperative rehabilitation and sedation in elderly patients undergoing knee arthroplasty

Purpose: To investigate the effect of the combination of remazolam toluenesulfonate and infiltration between the popliteal artery and capsule of the knee (IPACK) on the rehabilitation and sedation of elderly patients undergoing knee arthroplasty. Methods: A total of 84 elderly patients who underwent knee arthroplasty in Quzhou Affiliated Hospital of Wenzhou Medical University between January 2021 and December 2021 were given IPACK in combination with adductor canal block under ultrasound guidance. Forty (40) patients were given anesthesia with propofol + sufentanil + cis-benzene sulfonic acid atracurium (control group), while 44 patients received anesthesia with remazolam toluenesulfonate + sufentanil + cis-benzene sulfonic acid atracurium (study group). Various clinical indices in the patients were assessed Results: Relative to control, there were significantly lower visual analog scale (VAS) scores at 6 and 12 h after operation, lower frequency of post-operation pumping with PCA pump, lower frequency of remedial analgesia within 48 h after operation (p &lt; 0.05). Moreover, the time taken for spontaneous recovery of breathing, recovery time, and extubation time were similar in the two groups (p &gt; 0.05). The muscle strength of quadriceps femoris of the affected knee joint was higher in the study group than in the control group at 12, 24, and 48 h, after operation (p &lt; 0.05). Conclusion: The combination of remazolam toluenesulfonate with IPACK effectively alleviate pain in elderly patients undergoing knee arthroplasty and improves sedation without increasing cognitive dysfunction. This treatment strategy has potentials for further investigation for possible large-scale application

JMJD3 promotes survival of diffuse large B-cell lymphoma subtypes via distinct mechanisms.

JMJD3 (Jumonji domain containing-3), a histone H3 Lys27 (H3K27) demethylase, has been reported to be involved in the antigen-driven differentiation of germinal center B-cells. However, insight into the mechanism of JMJD3 in DLBCL (Diffuse large B-cell lymphoma) progression remains poorly understood. In this study, we investigated the subtype-specific JMJD3-dependent survival effects in DLBCL. Our data showed that in the ABC subtype, silencing-down of JMJD3 inhibited interferon regulatory factor 4 (IRF4) expression in a demethylase activity-dependent fashion. IRF4 reciprocally stimulated expression of JMJD3, forming a positive feedback loop that promoted survival in these cells. Accordingly, IRF4 expression was sufficient to rescue the pro-apoptotic effect of JMJD3 suppression in the ABC, but not in the GCB subtype. In contrast, ectopic overexpression of BCL-2 completely offset JMJD3-mediated survival in the GCB DLBCL cells. In vivo, treatment with siRNA to JMJD3 reduced tumor volume concordant with increased apoptosis in either subtype. This suggests it is a common target, though the distinctive signaling axes regulating DCBCL survival offer different strategic options for treating DLBCL subtypes