MACROPHAGE AND GALLERIA MELLONELLA INFECTION MODELS REFLECT THE VIRULENCE OF NATURALLY OCCURRING ISOLATES OF B. PSEUDOMALLEI, B. THAILANDENSIS AND B. OKLAHOMENSIS

Macrophage and Galleria mellonella infection models reflect the virulence of naturally occurring isolates of B. pseudomallei, B. thailandensis and B. oklahomensis

Abstract Background Burkholderia pseudomallei is the causative agent of melioidosis, a tropical disease of humans with a variable and often fatal outcome.In murine models of infection, different strains exhibit varying degrees of virulence.In contrast, two related species, B.thailandensis and B.oklahomensis, are highly attenuated in mice.Our aim wa

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Behavioral Economics and Machine Learning Methods in Managing a Hybrid Investment Portfolio with Virtual Assets

The article explores the prospects for using machine learning methods and data mining to predict the dynamics of the market for virtual assets such as cryptocurrencies, tokens, and NFTs.Given the high volatility, unstable correlation with traditional assets, and the significant impact of extra-economic factors, the alternative asset market requires

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Development of Capillary Loop Convective Polymerase Chain Reaction Platform with Real-Time Fluorescence Detection

Polymerase chain reaction (PCR) has been one of the principal techniques of molecular biology and diagnosis for decades.Conventional PCR platforms, which work by rapidly heating and cooling the whole vessel, need complicated hardware designs, and cause energy waste and high cost.On the other hand, partial heating Ball Chairs on the various location

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