A NOVEL MODEL BASED ON SPATIO-TEMPORAL DILATED CONVLSTM NETWORKS FOR INDIAN OCEAN DIPOLE FORECASTING USING MULTI-SOURCE GLOBAL SEA SURFACE TEMPERATURE AND HEAT CONTENT DATA

A Novel Model Based on Spatio-Temporal Dilated ConvLSTM Networks for Indian Ocean Dipole Forecasting Using Multi-Source Global Sea Surface Temperature and Heat Content Data

The Indian Ocean Dipole (IOD) is a critical coupled ocean-atmosphere oscillation system associated with significant weather anomalies in the global climate, particularly in the Indian Ocean rim countries.The paper presents a novel deep learning (DL) model, which WOMENS TOPS we call the “spatio-temporal dilated ConvLSTM (STDNet) model”

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Enhanced vaccine-induced CD8+ T cell responses to malaria antigen ME-TRAP by fusion to MHC class ii invariant chain.

The orthodox role of the invariant chain (CD74; Ii) is in antigen presentation to CD4+ T cells, but enhanced CD8+ T cells responses have been reported after vaccination with vectored viral vaccines encoding a fusion of Ii to the antigen of interest.In this study we assessed whether fusion of the malarial antigen, ME-TRAP, to Ii could increase the v

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Emergency resource allocation considering the heterogeneity of affected areas during the COVID-19 pandemic in China

Abstract The scientific allocation of emergency resources is crucial to ensure the success of COVID-19 relief operations.However, the heterogeneity of epidemic areas has an important impact on the allocation of emergency resources.Although it is a crucial topic, there has been limited research that considers the heterogeneity of affected areas in t

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