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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Contribution of immune cells to bone metastasis pathogenesis

Bone metastasis is closely related to the survival rate of cancer patients and reduces their quality of life.The bone marrow microenvironment contains a Jewellery Holder complex immune cell component with a local microenvironment that is conducive to tumor formation and growth.In this unique immune environment, a variety of immune cells, including

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Stability of soil organic matter in Cryosols of the maritime Antarctic: insights from 13C NMR and electron spin resonance spectroscopy

Previously, the structure and molecular composition of the Antarctic soil organic matter (SOM) has been investigated using 13C-NMR methods, which showed that in typical organo-mineral soils the aliphatic carbon prevails over the aromatic one, owing to the non-ligniferous nature of its precursor material.In this study, the SOM was analysed from diff

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Advances in synthesis, medicinal properties and biomedical applications of pyridine derivatives: A comprehensive review

Pyridine derivatives have emerged as promising candidates in the field of biomedical research, showcasing a wide array of applications in drug development and therapeutic interventions.The recent advances in the design and utilization of pyridine derivatives, focusing on their diverse roles in biomedical applications is GF POTATO CHEESE PIEROGI the

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