Credit Risk Management of P2P Network Lending

This article first studies the literature of P2P online loans, including online loans, credit risk factors and models, and summarizes the current status of P2P and credit risk assessment management in China. Based on the loan data of domestic P2P lending platforms, this paper conducts an empirical study on credit risk assessment. This study uses random forest importance assessment and logistic regression classification for credit risk assessment to identify loan targets with higher probability of default and improve overall loan quality. This research used 10,930 loan data, based on 26 fields, and finally selected 20 model variables to participate in credit risk quantification through feature structure and feature analysis. The final modelling test results show that the model screening accuracy rate is 73.3%, indicating that this model has a good performance in the credit risk quantification of borrowers

ALBS: AN ADPATIVE LOAD BALANCING SYSTEM IN MAPREDUCE

MapReduce is a popular parallel programming model used in large-scale data processing applications running on a cluster computer. MapReduce has two main functions: Map and Reduce. Map function transforms the data into the key-value format on each node and Reduce function merges the values associated with the same key from the different nodes. However, typical MapReduce implementations have the imbalance issue of load (the number of key-value pairs). This thesis proposes an Adaptive Load Balancing Algorithm to balance the load and implements it in X10. The systematic experimental results show that this algorithm enables a good load balances, reduces communication across compute nodes, and consequently improves overall performance

Study on preparation and analytical engineering theory of nanocomposites based on conductive polymer

This experiment aims to study the electrochemical properties of polypyrrole and γ-ferric oxide complex, through the cyclic voltammetry, UV spectrophotometry, infrared spectrophotometer, and other electrochemical characterization instruments to understand the performance of the complex formed under different conditions. By comparing the performance of composite products under different conditions, we can find alternative or manufacture new battery or capacitor materials. 1. Traditional batteries At present, mobile electronic devices are the forefront of application technology. However, with the rapid development of hardware and software of mobile devices, as well as the industrialization of electric vehicles, the disadvantages of traditional batteries have gradually emerged.The battery is designed to be smaller and have greater storage capacity, meaning that a smaller size can store more power.The more important point is that it has a more stable and secure nature.Existing battery improvements are mainly in the structure of the improvement.Common lead batteries are large, thick, cheap and easy to manufacture, making them widely available in the low-end electric car market.However, due to the increase of battery use time, unreasonable use, the crystal in the battery punctures the battery structure and forms an internal short circuit, which is easy to cause battery explosion or other problems during use (charging or discharging process). 2. The strategic significance of battery industry From the perspective of environmental status, traditional fossil energy vehicles rely on non-renewable fossil energy - petroleum. Fossil energy is produced by natural activities, and the time dimension is too long to make up for the huge consumption of human beings today. And using fossil fuels produces large amounts of carbon dioxide, a greenhouse gas. However, under the political environment, the US dollar settlement system makes China's oil import under the control of the US. Since China's reform and opening up, the automobile industry has been the key development industry in China, and the control of the US on oil has affected China's economic development. The research on new batteries is of great strategic importance, both environmentally and politically.Only new types of batteries that are safe, efficient and capable of storing enough energy can effectively win market share and replace petroleum energy completely. 3. Conductive polymer research Conductive polymer is also known as conductive polymer. The polymer synthesized in a certain way has excellent conductivity, because the large conjugated Π system formed by the conductive polymer allows electrons to move freely on this system, thus conducting electricity. Pure polypyrrole has poor electrical conductivity, because the polymer band gap is large, the free movement of electrons is blocked, and the performance is poor electrical conductivity. Different types of doping produce polypyrrole with different electrical conductivity and morphology

ALBS: AN ADPATIVE LOAD BALANCING SYSTEM IN MAPREDUCE

MapReduce is a popular parallel programming model used in large-scale data processing applications running on a cluster computer. MapReduce has two main functions: Map and Reduce. Map function transforms the data into the key-value format on each node and Reduce function merges the values associated with the same key from the different nodes. However, typical MapReduce implementations have the imbalance issue of load (the number of key-value pairs). This thesis proposes an Adaptive Load Balancing Algorithm to balance the load and implements it in X10. The systematic experimental results show that this algorithm enables a good load balances, reduces communication across compute nodes, and consequently improves overall performance

Extensive preclinical evaluation of combined mangiferin and glycyrrhizic acid for restricting synovial neovascularization in rheumatoid arthritis

Abstract Background Synovial neovascularization promotes rheumatoid arthritis (RA) progression. Baihu guizhi decoction (BHGZD) has a potential in restricting this pathological change of RA. Purpose To identify bioactive compounds (BACs) of BHGZD and to elucidate the underlying mechanisms in restricting synovial neovascularization of RA. Method Through transcriptomic profiling, the chemical profiling of BHGZD and its effective transcriptomic profiling against RA were identified. Then, candidate targets and the corresponding BACs against synovial neovascularization were screened by “disease gene-drug target” interaction network analysis and in silico molecular docking. The binding affinities of candidate BAC-target pairs were verified using surface plasmon resonance, and the pharmacokinetic characteristics of BACs in vivo after BHGZD administration at different time points were detected by Ultra Performance Liquid Chromatography-Mass spectrum/Mass spectrum. After that, in vivo experiments based on adjuvant-induced arthritis (AIA-M) rats, and in vitro experiments based on human umbilical vein endothelial cells (HUVEC) and arthritic synovial fibroblasts (MH7A) were carried out to evaluate the pharmacological effects of BHGZD and the two-BACs-combination, and to verify the associated mechanisms. Result VEGFA/VEGFR2/SRC/PI3K/AKT signal axis was screened as one of the key network targets of BHGZD against synovial neovascularization in RA. Mangiferin (MG) and glycyrrhizic acid (GA) were identified as the representative BACs of BHGZD for their strong binding affinities with components of the VEGFA/VEGFR2/SRC/PI3K/AKT signal axis, and their high exposed quantity in vivo. Both BHGZD and the two-BAC combination of MG and GA were demonstrated to be effective in restricting disease severity, reducing synovial inflammation and decreasing the formation of vascular opacities in AIA-M rats, and also reducing the migrative and invasive activities of HUVEC and MH7A cells and attenuating the lumen formation ability of HUVEC cells significantly. Mechanically, both BHGZD and the two-BAC combination markedly reduced the expression of VEGFA in synovial tissues, the serum levels of VEGF and NO, and the enzymatic activity of eNOS, increased the content of endostatin, and also reversed the abnormal alterations in the VEGFA/VEGFR2/SRC/PI3K/AKT signal axis in vivo and in vitro. Conclusion MG and GA may be the representative BACs of BHGZD for restricting excessive synovial vascularization in RA via regulating VEGFA/VEGFR2/SRC/PI3K/AKT signal axis

Effects of Audiovisual Interactions on Working Memory Task Performance—Interference or Facilitation

(1) Background: The combined n-back + Go/NoGo paradigm was used to investigate whether audiovisual interactions interfere with or facilitate WM. (2) Methods: College students were randomly assigned to perform the working memory task based on either a single (visual or auditory) or dual (audiovisual) stimulus. Reaction times, accuracy, and WM performance were compared across the two groups to investigate effects of audiovisual interactions. (3) Results: With low cognitive load (2-back), auditory stimuli had no effect on visual working memory, whereas visual stimuli had a small effect on auditory working memory. With high cognitive load (3-back), auditory stimuli interfered (large effect size) with visual WM, and visual stimuli interfered (medium effect size) with auditory WM. (4) Conclusions: Audiovisual effects on WM follow the resource competition theory, and the cognitive load of a visual stimulus is dominated by competition; vision always interferes with audition, and audition conditionally interferes with vision. With increased visual cognitive load, competitive effects of audiovisual interactions were more obvious than those with auditory stimuli. Compared with visual stimuli, audiovisual stimuli showed significant interference only when visual cognitive load was high. With low visual cognitive load, the two stimulus components neither facilitated nor interfered with the other in accordance with a speed–accuracy trade-off