Adaptive tracking theory of molecular evolution challenges mutation neutrality

For a long time, evolutionary biologists have thought that the genetic mutations that drive the evolution of genes and ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Enhanced climate models reveal how our cities are driving and feeling the effects of climate change

Scientists have developed a new way to represent the world's cities in global climate and Earth system models (GCM & ESMs), ...
IEEE

Logistic Regression and XGBoost Model of Multiple factors on Trust

Abstract: The trust study was begun in the 1960s. Previous research has been particularly focused on understanding the psychological underpinnings of trust formation and sustenance, with influences ...
IEEE

LSTM models for spatiotemporal extrapolation of population data

Abstract: The anticipation of future geospatial population distributions is crucial for numerous application domains. Here, we capitalize upon existing gridded population time series data sets, which ...