The association between Geriatric Nutritional Risk Index and KSD disease: results from National Health and Nutrition Examination Survey 2007-2018.

Background: Kidney stone disease (KSD) is a widespread problem in urology. But the associations between the Geriatric Nutritional Risk Index (GNRI), an important indicator for assessing the nutritional status of elderly hospitalized patients, and KSD are understudied.

Objective: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007-2018, our study analyzed the correlation between the GNRI and KSD prevalence at cross-sectional level.

Classification of Building Damage Using a Novel Convolutional Neural Network Based on Post-Disaster Aerial Images.

The accurate and timely identification of the degree of building damage is critical for disaster emergency response and loss assessment. Although many methods have been proposed, most of them divide damaged buildings into two categories-intact and damaged-which is insufficient to meet practical needs. To address this issue, we present a novel convolutional neural network-namely, the earthquake building damage classification net (EBDC-Net)-for assessment of building damage based on post-disaster aerial images.