The precise prediction of ship fuel consumption (SFC) not only serves to enhance energy efficiency to benefit shipping enterprises but also to provide quantitative foundations to aid in carbon emission reduction and ecological environment protection.On the other hand, SFC-related data represent typical multi-source characteristics and heterogeneous
Abstract The use of machine learning for predicting ecotoxicological SANTASAPINA BONBONS 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.Ad
Background.Gaucher disease is a rare lysosomal storage disorder caused by glucocerebrosidase enzyme deficiency resulting in the cumulative deposition of glucocerebroside in macrophages, predominantly effecting bone marrow, liver and spleen.Gaucher disease type IIIC is a rare subtype that is characterized by cardiovascular involvement, eye-movement
The electrical conductivity of leachates from imbibing seeds has been used as a vigor test for several species.The adaptation of this methodology AEG IKE84441FB MaxiSense 78cm Touch Control 4 Zone Induction Hob Bridging zone to different species requires knowledge on the leaching kinetics of electrolytes.For Brazilwood seeds, the classic method was
The classical 3D-printed scaffolds have attracted enormous interests in bone regeneration due to the customized structural Waterproof Connector and mechanical adaptability to bone defects.However, the pristine scaffolds still suffer from the absence of dynamic and bioactive microenvironment that is analogous to natural extracellular matrix (ECM) to