Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI

This paper presents riley reid schoolgirl a novel approach for classifying obsessive-compulsive disorder (OCD) in adolescents from resting-state fMRI data.Currently, the state-of-the-art for diagnosing OCD in youth involves interviews with adolescent patients and their parents by an experienced clinician, symptom rating scales based on Diagnostic a

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Effects of tropicamide and compound tropicamide eye drops on ocular biological parameters and choroid thickness in children

Abstract Objectives To evaluate the effects of short-acting cycloplegic agents, tropicamide and compound tropicamide, on ocular biological parameters and choroid thickness.Methods In this study, seventy pediatric subjects aged 6 to 13 years were randomly assigned to two groups: the tropicamide group and compound tropicamide group.Ocular biological

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Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data

Net surface shortwave radiation (NSSR) is one of the most important fundamental parameters in various land processes.Benefiting from its efficient nonlinear fitting ability, machine learning algorithms have a great potential in the retrieval of NSSR.However, few studies have explored the level of accuracy that machine learning algorithms can reach

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