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Новости за 18.11.2024

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The bright side of supplier concentration: Investor attitudes towards the reopening policy in China

Plos.org 
En

by Jie Su

Supplier concentration (SUC) has disadvantage of vulnerability along with cost savings and efficiency. While current scholarship focus on the vulnerability of firms with centralized suppliers during the COVID-19 epidemic, there is no empirical study that explores the impact of post-disaster SUC on firm value as countries removing regional isolation policy. I focus on the impact of COVID-19 reopening policy on investor attitudes towards SUC after the resolution of a supply chain disruption crisis. Читать дальше...

MAGT-toll: A multi-agent reinforcement learning approach to dynamic traffic congestion pricing

Plos.org 
En

by Jiaming Lu, Chuanyang Hong, Rui Wang

Modern urban centers have one of the most critical challenges of congestion. Traditional electronic toll collection systems attempt to mitigate this issue through pre-defined static congestion pricing methods; however, they are inadequate in addressing the dynamic fluctuations in traffic demand. Dynamic congestion pricing has been identified as a promising approach, yet its implementation is hindered by the computational complexity involved in optimizing... Читать дальше...

Simultaneous pancreas and kidney transplantation: A qualitative study of partners’ experiences

Plos.org 
En

by Katie E. J. Hann, Marco Cinnirella, Clare Bradley, Andrea Gibbons

Chronic health conditions often affect the lives of family members as well as the patient themselves. The current study aimed to explore the experiences of partners of individuals with diabetes and chronic kidney disease (CKD) who received a simultaneous pancreas and kidney transplant (SPKT) to understand the wider impact of SPKTs. Eight partners of recipients of SPKT were interviewed about their experiences before and after the transplant. Читать дальше...

An interactive AI-driven platform for fish age reading

Plos.org 
En

by Arjay Cayetano, Christoph Stransky, Andreas Birk, Thomas Brey

Fish age is an important biological variable required as part of routine stock assessment and analysis of fish population dynamics. Age estimates are traditionally obtained by human experts from the count of ring-like patterns along calcified structures such as otoliths. To automate the process and minimize human bias, modern methods have been designed utilizing the advances in the field of artificial intelligence (AI). While... Читать дальше...