LEVERAGING PRIOR CONCEPT LEARNING IMPROVES GENERALIZATION FROM FEW EXAMPLES IN COMPUTATIONAL MODELS OF HUMAN OBJECT RECOGNITION

Leveraging Prior Concept Learning Improves Generalization From Few Examples in Computational Models of Human Object Recognition

Humans quickly and accurately learn new visual concepts from sparse data, sometimes just a single example.The impressive performance of artificial neural networks which hierarchically pool afferents across scales and positions suggests Hair Color Touch Up that the hierarchical organization of the human visual system is critical to its accuracy.Thes

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Necroptosis: Molecular Signalling and Translational Implications

Necroptosis is Holders a form of programmed necrosis whose molecular players are partially shared with apoptotic cell death.Here we summarize what is known about molecular signalling of necroptosis, particularly focusing on fine tuning of FLIP and IAP proteins in the apoptosis/necroptosis balance.We also emphasize necroptosis involvement in physiol

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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol

Abstract Background Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challenges due to its potential for relapse.Current guidelines advocate for early cholecystectomy (EC) during the same hospital admission to prevent recurrent acute pancreatitis (RAP).Despite these recommendations, implementation in clinical practi

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Nanomaterials and Nanotechnology-Associated Innovations against Viral Infections with a Focus on Coronaviruses

Viral infections have recently emerged not only as a health threat to people but rapidly became the cause of universal fatality on a large scale.Nanomaterials comprising functionalized nanoparticles (NPs) and quantum dots and nanotechnology-associated innovative detection methods, vaccine design, and nanodrug production have shown immense promise f

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