Sang Mi Han,1 In Phyo Hong,1 Soon Ok Woo,1 Sung Nam Chun,2 Kwan Kyu Park,3 Young Mee Nicholls,4 Sok Cheon Pak5 1Department safari ltd grizzly bear of Agricultural Biology, National Academy of Agricultural Science, Wanju, 2Dong Sung Pharmaceuticals Co Ltd, Seoul, 3Department of Pathology, School of Medicine, Catholic University of Daegu, Daegu, Sout
Testing the Feasibility of a Multi-Model Fusion Method for Monitoring the Action of Rehabilitating Stroke Patients in Care Management
Post-stroke care encounters challenges, including high cost, lack of professionals, and insufficient rehabilitation state evaluation.Computer technology can alleviate these issues, as it allows health care professionals (HCP) to quantify the workload and thus enhance rehabilitation care quality.In this paper, a novel multi-model fusion method, term
Recombinant Rift Valley fever viruses encoding bluetongue virus (BTV) antigens: Immunity and efficacy studies upon a BTV-4 challenge.
BackgroundMany ruminant diseases of viral aetiology can be effectively prevented using appropriate vaccination measures.For diseases such as Rift Valley fever (RVF) the long inter-epizootic periods make dynavap o rings routine vaccination programs unfeasible.Coupling RVF prophylaxis with seasonal vaccination programmes by means of multivalent vacci