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Новости за 18.11.2024

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

Plos.org 

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 

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 

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...

Cell type-specific weighting-factors to solve solid organs-specific limitations of single cell RNA-sequencing

Plos.org 

by Kengo Tejima, Satoshi Kozawa, Thomas N. Sato

While single-cell RNA-sequencing (scRNA-seq) is a popular method to analyze gene expression and cellular composition at single-cell resolution, it harbors shortcomings: The failure to account for cell-to-cell variations of transcriptome-size (i.e., the total number of transcripts per cell) and also cell dissociation/processing-induced cryptic gene expression. This is particularly a problem when analyzing highly heterogeneous solid tissues/organs... Читать дальше...