Corporate Credit Rating: A Survey

Corporate credit rating (CCR) plays a very important role in the process of contemporary economic and social development. How to use credit rating methods for enterprises has always been a problem worthy of discussion. Through reading and studying the relevant literature at home and abroad, this paper makes a systematic survey of CCR. This paper combs the context of the development of CCR methods from the three levels: statistical models, machine learning models and neural network models, summarizes the common databases of CCR, and deeply compares the advantages and disadvantages of the models. Finally, this paper summarizes the problems existing in the current research and prospects the future of CCR. Compared with the existing review of CCR, this paper expounds and analyzes the progress of neural network model in this field in recent years.Comment: 11 page

An Aesthetic Design Method of Landscape Visualization Restoration for a Rural Highway Around the Nanwan Lake: A Case Study in the Shihe District, Xinyang City, Henan Province

In this paper, we based our field study to investigate an urban-rural highway around Nanwan Lake, China, and the statistical research results are presented with an ANOVA analysis. For this case study, we collected 80 samples, which we categorized into three groups. Villages and features classify these samples. An ANOVA analysis showed that there is a significant difference between the facility samples. The data analysis of our results showed that the problems of the urban-rural highway landscape are constituted by multiple factors in this area; therefore, we built two visual models to illustrate the problem, and we eventually constructed a model of a methodology to attempt to solve these problems

Designed Multifunctional Spider Silk Enabled by Genetically Encoded Click Chemistry

Spider silk is recognized for its exceptional mechanical properties and biocompatibility, making it a versatile platform for developing functional materials. In this study, a modular functionalization strategy for recombinant spider silk is presented using SpyTag/SpyCatcher chemistry, a prototype of genetically encoded click chemistry. The approach involves AlphaFold2-aided design of SpyTagged spider silk coupled with bacterial expression and biomimetic spinning, enabling the decoration of silk with various SpyCatcher-fusion motifs, such as fluorescent proteins, enzymes, and cell-binding ligands. The silk threads can be coated with a silica layer using silicatein, an enzyme for silicification, resulting in a hybrid inorganic–organic 1D material. The threads installed with RGD or laminin cell-binding ligands lead to enhanced endothelial cell attachment and proliferation. These findings demonstrate a straightforward yet powerful approach to 1D protein materials.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.ImPhys/Maresca grou