IMPROVING FMRI-BASED AUTISM SEVERITY IDENTIFICATION VIA BRAIN NETWORK DISTANCE AND ADAPTIVE LABEL DISTRIBUTION LEARNING

Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning

Machine learning methodologies have been profoundly researched in the realm of autism spectrum disorder (ASD) diagnosis.Nonetheless, owing to the ambiguity of ASD severity labels and individual differences in ASD severity, current fMRI-based methods for identifying ASD severity still do not achieve satisfactory performance.Besides, the potential as

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Irreversibility process characteristics of variant viscosity and conductivity on hybrid nanofluid flow through Poiseuille microchannel: A special case study

The model based upon the Poiseiulle flow of hybrid nanofluid within a micro channel for the inclusion of varying viscosity and thermal conductivity.The Apron suggested model is designed for the use of variable properties of the hybrid nanofluid embedding with the metal and oxide nanoparticles such as Cu and Al2O3 submerged in the base fluids i.e.wa

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Protein Expression Analyses at the Single Cell Level

The central dogma of molecular biology explains how genetic information is converted into its end product, proteins, which are responsible for the phenotypic state of the cell.Along with the protein type, the phenotypic state depends on the protein copy 3 Piece Outdoor Seating number.Therefore, quantification of the protein expression in a single c

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Beak and feather disease virus haemagglutinating activity using erythrocytes from African Grey parrots and Brown-headed parrots : research communication

Psittacine beak and feather disease (PBFD) is a common viral disease of wild and captive psittacine birds characterized by symmetric feather loss and beak deformities.The causative agent, beak and feather disease virus (BFDV), is a small, circular single-stranded DNA virus that belongs to the genus Circovirus.BFDV can be detected by PCR or the use

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