Neural Machine Translation (NMT) is an end-to-end learning approach for automated
translation, with the potential to overcome many of the weaknesses of conventional phrase-based …

Generalized linear models with nonlinear feature transformations are widely used for large-scale
regression and classification problems with sparse inputs. Memorization of feature …

Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized
medicine and improve healthcare quality. Constructing predictive statistical models …

Doxorubicin is believed to cause dose-dependent cardiotoxicity through redox cycling and
the generation of reactive oxygen species (ROS). Here we show that cardiomyocyte-specific …

Soil organic carbon (SOC) is the most often reported attribute and is chosen as the most
important indicator of soil quality and agricultural sustainability. In this review, we summarized …

Black soils (Mollisols) are one of the most important soil resources for maintaining food
security of China and are mainly distributed in northeast China. To understand which …

Soybean (Glycine max (L.) Merrill), one of the most important crops in China, has been known
to man for over 5000 years. Soybean production in China increased from 7.5 million Mg in …

The mechanisms of malignant cell transformation caused by the oncogenic, chimeric
nucleophosmin (NPM)/anaplastic lymphoma kinase (ALK) remain only partially understood, with …

Although biochar amendment has been extensively evaluated as a promising strategy to
improve soil quality, most evaluations have been conducted in the laboratory or under short-…

Characterization of soil organic matter (SOM) is important for determining the overall quality
of soils, and cover crop system may change SOM characteristics. The purpose of this study …