The propagation of bankruptcy-induced shocks across domestic and global economies is sometimes very dramatic; this phenomenon can be modelled as a dynamical process in economic networks. Economic networks are usually scale-free, and scale-free networks are known to be vulnerable with respect to targeted attacks, i.e., attacks directed towards the biggest nodes of the network. Here we address the following question: to what extent does the scale-free nature of economic networks and the vulnerability of the biggest nodes affect the propagation of economic shocks? We model the dynamics of bankruptcies as the propagation of financial contagion across the banking sector over a scale-free network of banks, and perform Monte-Carlo simulations based on synthetic networks. In addition, we analyze the public data regarding the bankruptcy of US banks from the Federal Deposit Insurance Corporation. The dynamics of the shock propagation is characterized in terms of the Bank Failures Diffusion Index, i.e., the average number of new bankruptcies triggered by the bankruptcy of a single bank, and in terms of the Shannon entropy of the whole network. The simulation results are in-line with the empirical findings, and indicate the important role of the biggest banks in the dynamics of economic shocks.
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http://dx.doi.org/10.3390/e24121713 | DOI Listing |
Metab Eng
December 2024
School of Biotechnology, Jiangnan University, Wuxi 214122, China. Electronic address:
Microbial cell factories have emerged as a sustainable alternative to traditional chemical synthesis and plant extraction methods for producing aromatic compounds. However, achieving economically viable production of these compounds in microbial systems remains a significant challenge. This review summarizes the latest advancements in metabolic flux regulation during the microbial production of aromatic compounds, providing an overview of its applications and practical outcomes.
View Article and Find Full Text PDFPLoS One
December 2024
School of Big Data & Software Engineering, Chongqing University, Chongqing, China.
Distributed denial of service (DDoS) is a type of cyberattack in which multiple compromised systems flood the bandwidth or resources of a single system, making the flooded system inaccessible to legitimate users. Since large-scale botnets based on the Internet of Things (IoT) have been hotbeds for launching DDoS attacks, it is crucial to defend against DDoS-capable IoT botnets effectively. In consideration of resource constraints and frequent state changes for IoT devices, they should be equipped with repair measures that are cost-effective and adaptive to mitigate the impact of DDoS attacks.
View Article and Find Full Text PDFPLOS Digit Health
December 2024
School of Public Health, University of São Paulo, São Paulo, Brazil.
Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from different regions and hospitals. However, it is unclear how this affects predictions in local centers.
View Article and Find Full Text PDFNano Lett
December 2024
Innovation Center for Textile Science and Technology, College of Textiles, Donghua University, Shanghai 200051, China.
Increasing noise pollution has generated a tremendous threat to human health and incurred great economic losses. However, most existing noise-absorbing materials present a significant challenge in achieving lightweight, robust mechanical stability, and efficient low-frequency (<1000 Hz) noise reduction. Herein, we create highly compressible micro/nanofibrous sponges with thin-walled cavity structures for efficient noise reduction through electrospinning and dispersion casting.
View Article and Find Full Text PDFDiabetes Obes Metab
December 2024
The Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Aim: To comprehensively evaluate the benefits and risks of glucagon-like peptide-1 receptor agonists (GLP-1RA), dipeptidyl peptidase 4 inhibitors (DPP4i), and sodium-glucose cotransporter 2 inhibitors (SGLT2i).
Materials And Methods: A systematic search of PubMed, EMBASE, and Cochrane Central Register of Controlled Trials (CENTRAL) from inception to November 2023 to identify randomized cardiovascular and kidney outcome trials that enrolled adults with type 2 diabetes, heart failure, or chronic kidney disease and compared DPP4i, GLP-1RAs, or SGLT2i to placebo. Twenty-one outcomes (e.
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