To clarify the Holocene uplift history of the Izu Islands, Japan, we analyze the elevations and C ages of emerged sessile assemblages measured by accelerator mass spectrometry (AMS) on the islands of Niijima, Jinaijima, Shikinejima, and Kouzushima, on the northern Zenisu Ridge. The results suggest that uplift events took place after AD 1950 (uplift event 1), during AD 786–1891 (uplift event 2),...

earthquakes could have catastrophic impacts on tunnels and buried structures. liquefaction phenomenon is one of the most destructive effects of earthquakes. liquefaction results in decreasing effective stress and this consequently leads to decreases in shear strength of the soil. as a result, large deformation in both soil and buried structure occurs. moreover, liquefaction causes soil boiling,...

Uplift modeling is a classification method that determines the incremental impact of an action on a given population. Uplift modeling aims at maximizing the area under the uplift curve, which is the difference between the subject and control sets’ area under the lift curve. Lift and uplift curves are seldom used outside of the marketing domain, whereas the related ROC curve is frequently used i...

Study of the interaction between uplift and erosion is a major theme of our science, but our understanding of their interplay is often limited by a lack of quantitative data. A classic example is the Colorado Plateau, for which the starting and ending points are well known: The region was at sea level in the Late Cretaceous, and now, the deeply eroded land surface is at ~2 km. The path of the l...

Highlights • New data reveal for the first time a history of the last ∼33.7 ky of uplift of Samosir. • Minimum uplift rates were high (4.9 cm/year) for the first 11.2 ky but diminished after that to <1 cm/year for the last 22.5 ky. • Numerical modeling suggests that rebound of remnant magma augmented by deep recharge appears to be the most likely driver for uplift. • Detumescence makes a neglig...

Uplift modeling is a machine learning technique that aims to model treatment effects heterogeneity. It has been used in business and health sectors to predict the effect of a specific action on a given individual. Despite its advantages, uplift models show high sensitivity to noise and disturbance, which leads to unreliable results. In this paper we show different approaches to address the prob...