The world is suffering from an existential global health crisis known as the COVID-19 pandemic. Countries like India, Bangladesh, and other developing countries are still having a slow pace in the detection of COVID-19 cases. Therefore, there is an urgent need for fast detection with clear visualization of infection is required using which a suspected patient of COVID-19 could be saved. In the recent technological advancements, the fusion of deep learning classifiers and medical images provides more promising results corresponding to traditional RT-PCR testing while making detection and predictions about COVID-19 cases with increased accuracy. In this paper, we have proposed a deep transfer learning algorithm that accelerates the detection of COVID-19 cases by using X-ray and CT-Scan images of the chest. It is because, in COVID-19, initial screening of chest X-ray (CXR) may provide significant information in the detection of suspected COVID-19 cases. We have considered three datasets known as 1) COVID-chest X-ray, 2) SARS-COV-2 CT-scan, and 3) Chest X-Ray Images (Pneumonia). In the obtained results, the proposed deep learning model can detect the COVID-19 positive cases in ≤ 2 seconds which is faster than RT-PCR tests currently being used for detection of COVID-19 cases. We have also established a relationship between COVID-19 patients along with the Pneumonia patients which explores the pattern between Pneumonia and COVID-19 radiology images. In all the experiments, we have used the Grad-CAM based color visualization approach in order to clearly interpretate the detection of radiology images and taking further course of action.
Article 19.1 of the Dispute Settlement Understanding provides that if a measure is found to be inconsistent with a WTO Agreement, the Panel or Appellate Body ‘shall recommend that the Member concerned bring the measure into conformity with the agreement’. However, Panels find themselves in a difficult position when the contested measure has expired during the course of proceedings. Since, on the one hand, the measure which would have ordinarily been recommended to be withdrawn is no longer in existence, but on the other hand, they are under an obligation to issue a recommendation as per Article 19.1. Various rationales of the Panels and the Appellate Body for providing recommendations for expired measures (‘EMRs’) have been inconsistent, ad-hoc and even contradictory. Given the different array of approaches adopted, there is no coherent and integrated theory which can be formulated which tells us when and why EMRs should be provided under Article 19.1. This article seeks to bridge this gap. The article also provides a critical analysis of the questionable recommendations issued by the Panel in India – Import of Iron and Steel Products and provides a more coherent framework to guide Panels’ recommendations in relation to expired measures.
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