As shown in Fig. 1, the number of structures declines over time as production at individual assets decreases and transition from economic to marginal status, and eventually, to abandonment. When ...

Abstract: As different scientific disciplines begin to converge on machine learning for causal inference, we demonstrate the application of machine learning algorithms in the context of longitudinal ...

The origins of modern structural biology date back to the 1910s, when the German physicist Max von Laue discovered that biological crystal samples irradiated with X-rays produced diffraction patterns ...

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What is a Structural Topic Model? A Structural Topic Model is a general framework for topic modeling with document-level covariate information, which can improve inference and qualitative ...

Longitudinal observational data on patients can be used to investigate causal effects of time-varying treatments on time-to-event outcomes. Several methods have been developed for estimating such ...

A new high-resolution model of the CA1 region of the human hippocampus has been developed by the Institute of Biophysics of the Italian National Research Council (CNR-IBF) and University of Modena e ...

Currently, Tesla has two versions of the Model Y out on the market. The first version is the one that Tesla has been selling since 2019 and that comes with the last generation of 2170 cells. And the ...

There have been plenty of Tesla Model Y electric crossovers spotted at Tesla's Giga Austin and Giga Berlin factories, and we now know that at least many, if not all, of them were manufactured at the ...