Research on the Third-party Payment Risk in the Background of Nets Union Clearing Platform: The Case of Alipay

Third-party payment has become an important part of the current payment method in China. However, there are many risks associated with the development of the third-party payment network. The establishment of the Nets Union in 2017 had a significant impact on the standardization of the entire third-party payment market. By further researching the third-party payment risk under the background of Nets Union Clearing Platform, combining with the empirical analysis for the case of Alipay, this paper constructs the third-party payment risk model by AHP and fuzzy comprehensive evaluation, then making some recommendations for Third-party payment risk control management

Effects of Astragaloside IV on heart failure in rats

<p>Abstract</p> <p>Background</p> <p>Astragaloside IV (ASI) in <it>Radix Astragali </it>is believed to be the active component in treating heart failure. The present study aims to examine the effects of ASI on cardiovascular parameters in long-term heart failure in rats.</p> <p>Methods</p> <p>Using echocardiographic and haemodynamic measurements, we studied the effects of ASI on congestive heart failure (CHF) induced by ligation of the left coronary artery in rats.</p> <p>Results</p> <p>ASI (0.1, 0.3 and 1.0 mg/kg/day) attenuated the decline of fractional shortening (FS). The peak derivatives of the left ventricle (LV) pressure (dp/dt) in ASI-treated groups significantly increased. Both LV internal diameters in diastole (LVIDd) and in systole (LVIDs) decreased significantly after ASI treatment (0.3 and 1.0 mg/kg/day). ASI (1.0 mg/kg/day) attenuated the decrease of LV systolic pressure (LVSP). ASI treatment inhibited compensatory hypertrophy of myocardial cells and lowered the number of apoptotic myocytes.</p> <p>Conclusion</p> <p>ASI improved cardiac functions as measured by cardiovascular parameters.</p

Differential early diagnosis of benign versus malignant lung cancer using systematic pathway flux analysis of peripheral blood leukocytes

Early diagnosis of lung cancer is critically important to reduce disease severity and improve overall survival. Newer, minimally invasive biopsy procedures often fail to provide adequate specimens for accurate tumor subtyping or staging which is necessary to inform appropriate use of molecular targeted therapies and immune checkpoint inhibitors. Thus newer approaches to diagnosis and staging in early lung cancer are needed. This exploratory pilot study obtained peripheral blood samples from 139 individuals with clinically evident pulmonary nodules (benign and malignant), as well as ten healthy persons. They were divided into three cohorts: original cohort (n = 99), control cohort (n = 10), and validation cohort (n = 40). Average RNAseq sequencing of leukocytes in these samples were conducted. Subsequently, data was integrated into artificial intelligence (AI)-based computational approach with system-wide gene expression technology to develop a rapid, effective, non-invasive immune index for early diagnosis of lung cancer. An immune-related index system, IM-Index, was defined and validated for the diagnostic application. IM-Index was applied to assess the malignancies of pulmonary nodules of 109 participants (original + control cohorts) with high accuracy (AUC: 0.822 [95% CI: 0.75–0.91, p < 0.001]), and to differentiate between phases of cancer immunoediting concept (odds ratio: 1.17 [95% CI: 1.1–1.25, p < 0.001]). The predictive ability of IM-Index was validated in a validation cohort with a AUC: 0.883 (95% CI: 0.73–1.00, p < 0.001). The difference between molecular mechanisms of adenocarcinoma and squamous carcinoma histology was also determined via the IM-Index (OR: 1.2 [95% CI 1.14–1.35, p = 0.019]). In addition, a structural metabolic behavior pattern and signaling property in host immunity were found (bonferroni correction, p = 1.32e − 16). Taken together our findings indicate that this AI-based approach may be used for “Super Early” cancer diagnosis and amend the current immunotherpay for lung cancer

Annexin A1 can inhibit the in vitro invasive ability of nasopharyngeal carcinoma cells possibly through Annexin A1/S100A9/Vimentin interaction.

Annexin A1 is a member of a large superfamily of glucocorticoid-regulated, calcium- and phospholipid-binding proteins. Our previous studies have shown that the abnormal expression of Annexin A1 is related to the occurrence and development of nasopharyngeal carcinoma (NPC). To understand the roles of Annexin A1 in the tumorigenesis of NPC, targeted proteomic analysis was performed on Annexin A1-associated proteins from NPC cells. We identified 436 proteins associated with Annexin A1, as well as two Annexin A1-interacted key proteins, S100A9 and Vimentin, which were confirmed by co-immunoprecipitation. Gene function classification revealed that the Annexin A1-associated proteins can be grouped into 21 clusters based on their molecular functions. Protein-protein interaction analysis indicated that Annexin A1 /S100A9/Vimentin interactions may be involved in the invasion and metastasis of NPC because they can form complexes in NPC cells. The down-regulation of Annexin A1 in NPC may lead to the overexpression of S100A9/Vimentin, which may increase the possibility of the invasion ability of NPC cells by adjusting the function of cytoskeleton proteins. Results suggested that the biological functions of Annexin A1 in NPC were diverse, and that Annexin A1 can inhibit the in vitro invasive ability of NPC cells through Annexin A1 /S100A9/Vimentin interaction

Design of an Unknown Input Observer for Leak Detection under Process Disturbances

Software-based analysis is one of the main methods for detecting and locating a leak from pipelines without the need for extensive instrumentation. However, software-based methods are generally sensitive to process disturbances, which cause the method to fail. In order to deal with these disturbances without increasing the number of measurements, an observer is designed for leak detection in natural gas pipelines as a case study. The proposed design implements a linear unknown input observer with time delays that considers changes of temperature and pressure as unknown inputs and includes measurement noise in the process. The unknown input observer found in the literature is modified for an application of leak detection. Nonisothermal modeling and simulation of a natural gas pipeline with time-variant consumer usage are performed to test the proposed method. Effects of pressure drop and temperature change on observer estimation are simulated and compared to a simulated leak event

In vitro migration and invasion assays and wound healing assays.

<p>(A) In vitro migration of the 5-8F cells, 6-10B cells and their transfectants (B) In vitro invasion of the 5-8F cells, 6-10B cells and their transfectants. All the cells were measured using Transwell chambers. Bar chart showing the average number of every kind of cells which penetrated the membrane correspondingly. Original magnification, x400. (C) Wound healing assays. Data and representative images for six cell lines, as shown in the figure. Bars represent the percentage of wound closure. Original magnification, x40. Three independent experiments were performed.</p

Effects of Annexin A1 modulation on the Vimentin and S100A9 expression.

<p>Western blot analysis showing the expression levels of Annexin A1, Vimentin and S100A9 in 5-8F and 6-10B NPC cells and their transfectants, 5-8F: untransfected 5-8F cells; 5-8F-Annexin A1(+): transfected 5-8F cells with Annexin A1-expressing plasmid; 5-8F-Annexin A1(−): transfected 5-8F cells with control vector; 6-10B:untransfected 6-10B cells; 6-10B siRNA(+): transfected 6-10F cells with Annexin A1 siRNA plasmid; 6-10B-siRNA(−): transfected 6-10B cells with control vector. β-Actin was used as an internal control for loading.</p