Performance Evaluation of Commercial Banks Based on Factor Analysis

China’s commercial banks are the main part of the country’s financial system and a key link in the national economy. However, because of the late start of commercial banks in China, the performance evaluation system of commercial banks is not perfect. Based on the financial data of 36 listed commercial banks in 2018, this paper uses factor analysis method to evaluate the performance of commercial banks, and analyzes the operating conditions of commercial banks

Multiple redundant flow fingerprint model based on time slots

With the increasingly widespread use of the Internet, various network security problems are frequently exposed, while the “patching” style security enhancement mechanisms cannot effectively prevent the growing security risks.The researchers in the field of network security believe that the future Internet architecture should take security as a basic attribute to provide the native security support which is also called as endogenous safety and security.In order to support the data trustworthiness of endogenous security, a time-slot based multiple redundant flow fingerprint model was designed and implemented based on the research of the watermark (or fingerprint) mechanism.The proposed model used only three time slot intervals and operated the packets within the specified time slots, so that the fingerprint can be embedded without conflicting with the adjacent bit operations.Redundant coding was introduced to improve the fingerprint robustness, and the behaviors such as jitter or malicious disruptions by attackers in the network were considered.Furthermore, the impacts of delayed interference, spam packet interference and packet loss interference were analyzed.The analytical results show that the robustness of the fingerprint model improves with increasing redundant bits when the packet distribution in the network stream is given.Besides, in order to reduce the consumption of time and space and improve the efficiency and accuracy of packet operations, a flow fingerprinting prototype system was designed and implemented based on the kernel, and its efficiency and robustness were evaluated.The experimental result show that the model has high robustness.Additionally, the application scenario of the model was elaborated, which can effectively detect man-in-the-middle attacks and prevent network identity spoofing with the help of the flow fingerprinting model

<i>Lactobacillus paracasei</i> subsp. <i>paracasei</i> X12 Strain Induces Apoptosis in HT-29 Cells through Activation of the Mitochondrial Pathway

L. paracasei subsp. paracasei X12 was obtained from traditional cheese produced in northwestern China. In this study, we showed that whole peptidoglycan (WPG), extracted from L. paracasei subsp. paracasei X12, inhibited proliferation and induced apoptosis in HT-29 cells in a dose-dependent manner. In addition, WPG-induced apoptosis was associated with the loss of mitochondrial membrane potential (Ψm), the release of cytochrome c (Cyto-C) from mitochondrialto cytosolic spaces, activation of Caspase 3, and accumulation of intracellular reactive oxygen species (ROS). Finally, semi-quantitative RT-PCR showed that these events were accompanied by upregulation of proapoptotic genes (Bax or Bad) and downregulation of antiapoptotic genes (Bcl-xl). Taken together, our results demonstrated that WPG induced apoptosis in HT-29 cells through activation of the mitochondrial pathway. WPG exerted only minor toxicity upon noncancerous cells and therefore might be used as a natural agent in the treatment of cancer in future

DataSheet_1_Glycosyltransferase-related long non-coding RNA signature predicts the prognosis of colon adenocarcinoma.zip

PurposeColon adenocarcinoma (COAD) is the most common type of colorectal cancer (CRC) and is associated with poor prognosis. Emerging evidence has demonstrated that glycosylation by long noncoding RNAs (lncRNAs) was associated with COAD progression. To date, however, the prognostic values of glycosyltransferase (GT)-related lncRNAs in COAD are still largely unknown.MethodsWe obtained the expression matrix of mRNAs and lncRNAs in COAD from The Cancer Genome Atlas (TCGA) database. Then, the univariate Cox regression analysis was conducted to identify 33 prognostic GT-related lncRNAs. Subsequently, LASSO and multivariate Cox regression analysis were performed, and 7 of 33 GT-related lncRNAs were selected to conduct a risk model. Gene set enrichment analysis (GSEA) was used to analyze gene signaling pathway enrichment of the risk model. ImmuCellAI, an online tool for estimating the abundance of immune cells, and correlation analysis were used to explore the tumor-infiltrating immune cells in COAD. Finally, the expression levels of seven lncRNAs were detected in colorectal cancer cell lines by reverse transcription-quantitative polymerase chain reaction (RT-qPCR).ResultsA total of 1,140 GT-related lncRNAs were identified, and 7 COAD-specific GT-related lncRNAs (LINC02381, MIR210HG, AC009237.14, AC105219.1, ZEB1-AS1, AC002310.1, and AC020558.2) were selected to conduct a risk model. Patients were divided into high- and low-risk groups based on the median of risk score. The prognosis of the high-risk group was worse than that of the low-risk group, indicating the good reliability and specificity of our risk model. Additionally, a nomogram based on the risk score and clinical traits was built to help clinical decisions. GSEA showed that the risk model was significantly enriched in metabolism-related pathways. Immune infiltration analysis revealed that five types of immune cells were significantly different between groups, and two types of immune cells were negatively correlated with the risk score. Besides, we found that the expression levels of these seven lncRNAs in tumor cells were significantly higher than those in normal cells, which verified the feasibility of the risk model.ConclusionThe efficient risk model based on seven GT-related lncRNAs has prognostic potential for COAD, which may be novel biomarkers and therapeutic targets for COAD patients.</p

Source of condensate oil in the middle of southern margin, Junggar Basin, NW China

Through detailed geochemical analysis of over 40 crude oil, condensate oil and heavy oil samples in the southern margin of Junggar Basin, and based on the hydrocarbon generation condition of five sets of source rocks, with the combination between compositions of carbon isotopes of whole oil, light hydrocarbon, n-alkanes isoprenoids and biomarker composition characteristics, a detailed discussion on the source of the condensate oil in anticlines in the central part of the southern margin was carried out. Condensate oils from the central part of the southern margin have abundant isoprenoids, Pr/Ph<1.0. Carbon isotopes of whole oil are low with δ13C value between −27‰ and −28‰. The δ13C value of alkanes with carbon number smaller than 9 ranges from −26‰ to −24‰, carbon isotopes of C9+ n-alkanes decrease remarkably with increasing carbon number, and the δ13C value of C19+ n-alkanes is lower than −30‰. The δ13C value of pristane and phytane is lower than −29‰. The biomarker components contain abundant C27 steranes and C30 methyl steranes, “V” shape distribution of C27, C28 and C29 20R sterane, abundant tricyclic terpanes with dominance of C21, and relatively high content of gammacerane with two isomers. The 20S/(20S+20R) ratio of C29 steranes is between 0.40 and 0.50, and the maturity calculated by the methylphenanthrene index and distribution fraction (Rc) ranges from 0.70% to 1.1%. These geochemical characteristics of the condensate oils are very similar to those mature crude oils from the typical Cretaceous lacustrine source rocks in the central part of southern margin, but are greatly different from those of typical Jurassic crude oils, implying that these condensate oils are derived from mature Cretaceous lacustrine source rocks instead of highly mature Jurassic coal-measures source rocks. Key words: condensate oil, oil source, molecular carbon isotope, biomarker, Cretaceous, southern margin of Junggar Basi

DataSheet_1_Glycosyltransferase-related long non-coding RNA signature predicts the prognosis of colon adenocarcinoma.docx

PurposeColon adenocarcinoma (COAD) is the most common type of colorectal cancer (CRC) and is associated with poor prognosis. Emerging evidence has demonstrated that glycosylation by long noncoding RNAs (lncRNAs) was associated with COAD progression. To date, however, the prognostic values of glycosyltransferase (GT)-related lncRNAs in COAD are still largely unknown.MethodsWe obtained the expression matrix of mRNAs and lncRNAs in COAD from The Cancer Genome Atlas (TCGA) database. Then, the univariate Cox regression analysis was conducted to identify 33 prognostic GT-related lncRNAs. Subsequently, LASSO and multivariate Cox regression analysis were performed, and 7 of 33 GT-related lncRNAs were selected to conduct a risk model. Gene set enrichment analysis (GSEA) was used to analyze gene signaling pathway enrichment of the risk model. ImmuCellAI, an online tool for estimating the abundance of immune cells, and correlation analysis were used to explore the tumor-infiltrating immune cells in COAD. Finally, the expression levels of seven lncRNAs were detected in colorectal cancer cell lines by reverse transcription-quantitative polymerase chain reaction (RT-qPCR).ResultsA total of 1,140 GT-related lncRNAs were identified, and 7 COAD-specific GT-related lncRNAs (LINC02381, MIR210HG, AC009237.14, AC105219.1, ZEB1-AS1, AC002310.1, and AC020558.2) were selected to conduct a risk model. Patients were divided into high- and low-risk groups based on the median of risk score. The prognosis of the high-risk group was worse than that of the low-risk group, indicating the good reliability and specificity of our risk model. Additionally, a nomogram based on the risk score and clinical traits was built to help clinical decisions. GSEA showed that the risk model was significantly enriched in metabolism-related pathways. Immune infiltration analysis revealed that five types of immune cells were significantly different between groups, and two types of immune cells were negatively correlated with the risk score. Besides, we found that the expression levels of these seven lncRNAs in tumor cells were significantly higher than those in normal cells, which verified the feasibility of the risk model.ConclusionThe efficient risk model based on seven GT-related lncRNAs has prognostic potential for COAD, which may be novel biomarkers and therapeutic targets for COAD patients.</p

Restoring immunological tolerance in established experimental arthritis by combinatorial citrullinated peptides and immunomodulatory signals

Promoted tolerance is a coveted therapeutic approach for rheumatoid arthritis (RA), as current im-munosuppressive treatments are not disease-specific, primarily targeting the inflammatory response and exerting debilitating side effects. The cellular and antigenic complexity of RA challenges the design of nanoparticle-based tolerogenic strategies to selectively and comprehensively ameliorate joint destruction and restore immune tolerance in RA. Herein, we aimed at exploring the therapeutic effects and tolerogenic mechanism of a novel "tolerogenic polypeptide vaccine" (TPvax), which carried a multiepitope citrullinated peptide (Cit-ME) and rapamycin (Rapa), in established experimental arthritis. A low dose Rapa helped to drive the generation of anti-inflammatory cytokines and tolerogenic dendritic cells (DCs), thereby providing an immunosuppressive microenvironment for tolerance induction. We demonstrated that TPvax enabled the synergism between Cit-ME and Rapa, which led to the upregulation of regulatory T cells (Treg), pro-motion of IL-10 secretion and reduction of pro-inflammatory cytokines and antibody titers. Importantly, we provided evidence of epitope spreading to citrullinated antigens in collagen-induced arthritis (CIA) and demonstrated that co-delivery of Cit-ME and Rapa promoted immune tolerance even during an ongoing inflammatory event. This work would shed light to the development of tolerogenic therapeutics as novel immunotherapies for RA. (c) 2021 Elsevier Ltd. All rights reserved

Selection of homemade mask materials for preventing transmission of COVID-19: A laboratory study.

The Coronavirus Disease 2019 (COVID-19) has swept the whole world with high mortality. Since droplet transmission is the main route of transmission, wearing a mask serves as a crucial preventive measure. However, the virus has spread quite quickly, causing severe mask shortage. Finding alternative materials for homemade masks while ensuring the significant performance indicators will help alleviate the shortage of masks. Referring to the national standard for the "Surgical Mask" of China, 17 materials to be selected for homemade masks were tested in four key indicators: pressure difference, particle filtration efficiency, bacterial filtration efficiency and resistance to surface wetting. Eleven single-layer materials met the standard of pressure difference (≤49 Pa), of which 3 met the standard of resistance to surface wetting (≥3), 1 met the standard of particle filtration efficiency (≥30%), but none met the standard of bacterial filtration efficiency (≥95%). Based on the testing results of single-layer materials, fifteen combinations of paired materials were tested. The results showed that three double-layer materials including double-layer medical non-woven fabric, medical non-woven fabric plus non-woven shopping bag, and medical non-woven fabric plus granular tea towel could meet all the standards of pressure difference, particle filtration efficiency, and resistance to surface wetting, and were close to the standard of the bacterial filtration efficiency. In conclusion, if resources are severely lacking and medical masks cannot be obtained, homemade masks using available materials, based on the results of this study, can minimize the chance of infection to the maximum extent