APPLICABILITY OF SUSCEPTIBILITY MODEL FOR ROCK AND LOESS EARTHQUAKE LANDSLIDES IN THE EASTERN TIBETAN PLATEAU

Applicability of Susceptibility Model for Rock and Loess Earthquake Landslides in the Eastern Tibetan Plateau

It is crucial to explore a suitable landslide susceptibility model with an excellent prediction capability for rapid evaluation and disaster relief in seismic regions with different lithological features.In this study, we selected two typical seismic events, the Jiuzhaigou and Minxian earthquakes, which occurred in the Alpine karst and loess region

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A machine learning-based nomogram for predicting graft survival in allograft kidney transplant recipients: a 20-year follow-up study

BackgroundKidney transplantation is the optimal form of renal replacement therapy, but the long-term survival rate of kidney graft has not improved significantly.Currently, no well-validated model exists for predicting long-term kidney graft survival over an extended observation period.MethodsRecipients undergoing allograft kidney transplantation a

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