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Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery

Convolutional neural networks have long dominated semantic segmentation of very-high-resolution (VHR) remote sensing (RS) images.However, restricted by the fixed receptive Dilators field of convolution operation, convolution-based models cannot directly obtain contextual information.Meanwhile, Swin Transformer possesses great potential in modeling

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Biological monitoring of aquatic ecosystems in Italy

In Italy, Ecotoxicology has found a place with the Legislative Decree n.152 (May 11, 1999), emanated in fulfilment of the Directives 91/271/CEE "urban waste-water treatment" and 91/676/CEE "protection of waters against pollution caused by nitrates from agricultural sources".This decree in reality goes beyond (actually anticipating the content of th

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Bayesian modeling and simulation to inform rare disease drug development early decision-making: Application to Duchenne muscular dystrophy.

Rare disease clinical trials are constrained to small sample sizes and may lack placebo-control, leading to challenges in drug development.This paper proposes a Bayesian model-based framework for early go/no-go decision making in rare disease drug development, using Duchenne muscular dystrophy (DMD) as an example.Early go/no-go decisions GLOVES wer

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