Abstract The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized.The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, which we consider a barrier of entry for this kind of research.Additionally, model pe
BACKGROUND:Timely diagnosis of tuberculosis disease is critical for positive patient outcomes, yet potentially millions go undiagnosed or unreported each year.Sputum Memorial Car Ornament And Keychain is widely used as the testing input, but limited by its complexity, heterogeneity, and sourcing problems.Finding methods to interrogate noninvasive,
The high altitude mountain slopes of the Dolomites (Italian Alps) are characterized by great habitat and landform heterogeneities.In this paper, we investigated the effect of Nature 2000 habitat and landform types in driving the high altitude ground beetle (Carabidae) distribution in the Western Dolomites (Brenta group, Italy).We studied the carabi
In the current Ice Transport Bucket/Tote Parts studies an investigations were made to know the effect of 63 micron sized B4C particles addition on the mechanical and wear behavior of aerospace alloy Al2618 metal composites.Al2618 alloy with different weight percentages (2, 4, 6 and 8 wt.%) of 63 micron sized B4C particles reinforced composites were
Lead-based reactor using liquid lead-bismuth alloys as coolant has many advantages and is a promising type of fourth-generation reactors for a wide range of applications.However, the compatibility problem between liquid metal and structural materials exists in lead-based reactors.Corrosion products are generated from the core, precipitate as oxide