Credit Risk Contagion in an Evolving Network Model Integrating Spillover Effects and Behavioral Interventions

We introduce an evolving network model of credit risk contagion in the credit risk transfer (CRT) market. The model considers the spillover effects of infected investors, behaviors of investors and regulators, emotional disturbance of investors, market noise, and CRT network structure on credit risk contagion. We use theoretical analysis and numerical simulation to describe the influence and active mechanism of the same spillover effects in the CRT market. We also assess the reciprocal effects of market noises, risk preference of investors, and supervisor strength of financial market regulators on credit risk contagion. This model contributes to the explicit investigation of the connection between the factors of market behavior and network structure. It also provides a theoretical framework for considering credit risk contagion in an evolving network context, which is greatly relevant for credit risk management

Research on Influencing Factors and Control Measures of Construction Cost Overrun in China's Expressway Projects

In China, the expressways have been built a lot over the past decade. The construction of the expressway suffers from usual cost overrun. There are many factors of different stakeholders influencing the construction cost of expressways, and it is difficult to control all of them. Therefore, it is necessary to identify the key factors causing expressway construction cost overrun and take corresponding cost control measures. In this article, decision-making trial and evaluation laboratory (DEMATEL), interpretative structural modeling method (ISM) and system dynamics (SD) are integrated as DEMATEL-ISM-SD method to identify the key driving factors of expressway construction cost overrun and simulate the interactions of these factors to find the cost control measures. A case in China has been selected as an example to demonstrate how to use the proposed method. As a result, six key factors from different stakeholders are found. Then, six corresponding measures are put forward. This study can provide guidance for expressway construction cost control.Godkänd;2023;Nivå 0;2023-09-07 (joosat);Funder: Science and Technology Research Project of Fujian Province Housing and Construction Department (2022-K-295); Research Project of Fujian Province Financial Department (GY-S22001); Research Funding of Fujian University of Technology (GY-Z21212)CC BY 4.0 License</p

Influence of Calcination Temperature on the Structure and Visible Light Photocatalysis Performance of Mn–TiO2-Loaded Wooden Activated Carbon Fibers

Mn–TiO2-loaded wooden activated carbon fibers (Mn/TiO2-WACF) were prepared through sol–gel and impregnation methods and characterized by X-ray diffractometer, scanning electron microscope, Fourier transform IR spectrometer, and automatic adsorption apparatus to observe the influence of load calcination temperature on its morphological structure and visible light photocatalysis performance. Results showed that Mn doping elevated the phase transformation temperature (650 °C–750 °C) of TiO2 in Mn/TiO2-WACF; the particle size of anatase TiO2 in the sample gradually enlarged with the increase of calcination temperature. The N2 adsorbing quantity of Mn/TiO2-WACF sample initially increased and then decreased as calcination temperature increased, and 650 °C became the turning point of its N2 adsorbing quantity. The degradation methylene blue solution for Mn/TiO2-WACF sample under visible light gradually decreased with the increase of calcination temperature, and the methylene blue solution degradation by the sample obtained under 450 °C calcination temperature reached 93%

Traditional Village research based on culture-landscape genes: a Case of Tujia traditional villages in Shizhu, Chongqing, China

Global urbanization has led to severe damage and even disappearance of traditional villages in large numbers, significantly impacting the diversity of cultural landscapes. To effectively protect and inherit the cultural landscape of traditional villages, this study proposes the “culture-landscape genes” theory and its double-chain model. Taking the traditional Tujia villages in Shizhu County, Chongqing Municipality, China as an example, we identify, extract, correspond, encode, and comprehensively evaluate their culture-landscape genes. Based on the evaluation and analysis results, corresponding protection and development strategies are formulated. The study indicates that: firstly, the identification, extraction, and correlation of genes directly influence the construction of the evaluation system and the assessment of the protection level. Secondly, the comprehensive evaluation system under the double-chain model is more scientific and reasonable compared to the single-gene model of cultural or landscape genes. The culture-landscape genes theory proposed in this study promotes the development of the gene theory of traditional villages, and its double-chain research model effectively supplements the current methods for the protection and sustainable development of traditional villages, demonstrating a wide range of application value

Revision of two species of Sinopotamon Bott, 1967 (Crustacea, Brachyura, Potamidae) endemic to China: a new combination and a new synonym

The systematics of two problematic potamid species, Sinopotamon koatenense (Rathbun, 1904) and Sinopotamon wuyiensis Li, Lin, Cheng & Tang, 1985, both originally described from the Wuyi Mountains are resolved in this study. Sinopotamon koatenense is transferred to the genus Huananpotamon Dai & Ng, 1994, as the new combination Huananpotamon koatenense comb. nov. The new combination differs from its congeners in the form of the carapace, male pleon, male first gonopod, and vulvae. Phylogenetic analyses based on mitochondrial 16S rDNA sequences support the identification of Huananpotamon koatenense comb. nov. and a redescription is also provided. In addition, S. wuyiensis is confirmed as a junior synonym of Sinopotamon fukienense Dai & Chen, 1979 based on morphological similarities and phylogenetic lineages

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

Multivariate time series (MTS) forecasting plays an important role in the automation and optimization of intelligent applications. It is a challenging task, as we need to consider both complex intra-variable dependencies and inter-variable dependencies. Existing works only learn temporal patterns with the help of single inter-variable dependencies. However, there are multi-scale temporal patterns in many real-world MTS. Single inter-variable dependencies make the model prefer to learn one type of prominent and shared temporal patterns. In this paper, we propose a multi-scale adaptive graph neural network (MAGNN) to address the above issue. MAGNN exploits a multi-scale pyramid network to preserve the underlying temporal dependencies at different time scales. Since the inter-variable dependencies may be different under distinct time scales, an adaptive graph learning module is designed to infer the scale-specific inter-variable dependencies without pre-defined priors. Given the multi-scale feature representations and scale-specific inter-variable dependencies, a multi-scale temporal graph neural network is introduced to jointly model intra-variable dependencies and inter-variable dependencies. After that, we develop a scale-wise fusion module to effectively promote the collaboration across different time scales, and automatically capture the importance of contributed temporal patterns. Experiments on four real-world datasets demonstrate that MAGNN outperforms the state-of-the-art methods across various settings.Comment: Accepted by TKD

Cortical Microtubule Organization during Petal Morphogenesis in Arabidopsis

Cortical microtubules guide the direction and deposition of cellulose microfibrils to build the cell wall, which in turn influences cell expansion and plant morphogenesis. In the model plant Arabidopsis thaliana (Arabidopsis), petal is a relatively simple organ that contains distinct epidermal cells, such as specialized conical cells in the adaxial epidermis and relatively flat cells with several lobes in the abaxial epidermis. In the past two decades, the Arabidopsis petal has become a model experimental system for studying cell expansion and organ morphogenesis, because petals are dispensable for plant growth and reproduction. Recent advances have expanded the role of microtubule organization in modulating petal anisotropic shape formation and conical cell shaping during petal morphogenesis. Here, we summarize recent studies showing that in Arabidopsis, several genes, such as SPIKE1, Rho of plant (ROP) GTPases, and IPGA1, play critical roles in microtubule organization and cell expansion in the abaxial epidermis during petal morphogenesis. Moreover, we summarize the live-confocal imaging studies of Arabidopsis conical cells in the adaxial epidermis, which have emerged as a new cellular model. We discuss the microtubule organization pattern during conical cell shaping. Finally, we propose future directions regarding the study of petal morphogenesis and conical cell shaping

Arabidopsis RIC1 Severs Actin Filaments at the Apex to Regulate Pollen Tube Growth

Pollen tubes deliver sperms to the ovule for fertilization via tip growth. The rapid turnover of F-actin in pollen tube tips plays an important role in this process. In this study, we demonstrate that Arabidopsis thaliana RIC1, a member of the ROP-interactive CRIB motif-containing protein family, regulates pollen tube growth via its F-actin severing activity. Knockout of RIC1 enhanced pollen tube elongation, while overexpression of RIC1 dramatically reduced tube growth. Pharmacological analysis indicated that RIC1 affected F-actin dynamics in pollen tubes. In vitro biochemical assays revealed that RIC1 directly bound and severed F-actin in the presence of Ca(2+) in addition to interfering with F-actin turnover by capping F-actin at the barbed ends. In vivo, RIC1 localized primarily to the apical plasma membrane (PM) of pollen tubes. The level of RIC1 at the apical PM oscillated during pollen tube growth. The frequency of F-actin severing at the apex was notably decreased in ric1-1 pollen tubes but was increased in pollen tubes overexpressing RIC1. We propose that RIC1 regulates F-actin dynamics at the apical PM as well as the cytosol by severing F-actin and capping the barbed ends in the cytoplasm, establishing a novel mechanism that underlies the regulation of pollen tube growth