Publications by authors named "Xizhu Liu"
Background: Alzheimer's disease neuropathologic changes (AD-NC) are important to identify people with high risk for AD dementia (ADD) and subtyping ADD.
Objective: Develop imputation models based on clinical measures to infer AD-NC.
Methods: We used penalized generalized linear regression to train imputation models for four AD-NC traits (amyloid-β, tangles, global AD pathology, and pathologic AD) in Rush Memory and Aging Project decedents, using clinical measures at the last visit prior to death as predictors.
Background: Alzheimer's disease neuropathologic changes (AD-NC) are important for identify people with high risk for AD dementia (ADD) and subtyping ADD.
Objective: Develop imputation models based on clinical measures to infer AD-NC.
Methods: We used penalized generalized linear regression to train imputation models for four AD-NC traits (amyloid-, tangles, global AD pathology, and pathologic AD) in Rush Memory and Aging Project decedents, using clinical measures at the last visit prior to death as predictors.
Birds select suitable nest sites for breeding to ensure their own and offspring's survival; however, they inevitably suffer some potential predation risk. We studied the breeding ecology of Daurian redstarts () by providing nest boxes for their breeding from March to August of 2022. We recorded the predation of both Daurian redstarts eggs or nestlings by Oriental magpie-robins () and tree sparrow ().
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- * While IFB is commonly noted in shorebirds, recent observations show that buntings also exhibit this behavior, particularly during the brooding phase.
- * Video analysis revealed that female buntings display a specific IFB, with noticeable wing angles and rapid movements, and the likelihood of IFB increases significantly during brooding compared to incubation.
Background: Alzheimer's disease (AD) is a progressive disorder without a cure. Develop risk prediction models for detecting presymptomatic AD using non-cognitive measures is necessary to enable early interventions.
Objective: Examine if non-cognitive metrics alone can be used to construct risk models to identify adults at risk for AD dementia and cognitive impairment.