MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN

Retinal vessel segmentation is extremely important for risk prediction and treatment of many major diseases.Therefore, accurate segmentation of blood vessel features from retinal images can help assist physicians in diagnosis and treatment.Convolutional neural networks are good at extracting local feature information, but the convolutional block re

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Surviving State-Led Disaster: The Legacies of Hillsborough

This article explores the trajectories Montana of survival in the aftermath of state-led disaster.In particular, it considers how survivors have experienced and understood their survival from the 1989 Hillsborough disaster and its subsequent injustices.Drawing upon interviews and conversations with those who experienced the disaster, as well as wit

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