Bayesian latent class models for identifying canine visceral leishmaniosis using diagnostic tests in the absence of a gold standard.

BackgroundLike many infectious diseases, there is no practical gold standard for diagnosing clinical visceral leishmaniasis (VL).Latent class modeling has been proposed to estimate a latent gold standard for identifying disease.These proposed models for VL have leveraged information from diagnostic tests with dichotomous serological and PCR assays,

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Type 1 diabetes mellitus: retrospect and prospect

Abstract Background Type 1 diabetes (T1D) is an autoimmune disease leading to destruction of insulin-producing pancreatic beta cells.Both genetic and environmental factors contribute to pathogenesis.The incidence of T1D is increasing worldwide, with significant geographic and ethnic variations.Patients present with symptoms of hyperglycemia and dia

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Fire risk Assessment in Multi-story Commercial Buildings Using Computerized Fire Safety Evaluation System: A Case Study in Shiraz

Background: The occurrence of fire in buildings inflicts considerable damage on communities and individuals.This issue is very important in multi-story commercial buildings due to the high fire load, large and untrained population, high value of building and its equipment, complexity of emergency evacuation, and firefighting operations.This study w

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