Publications
Explore 372 academic publications
The stress process.
This study uses longitudinal data to observe how life events, chronic life strains, self concepts, coping, and social supports come together to form a process of stress. It take...
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
Abstract Background To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the ...
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available. In this paper...
Clinical and immunological features of severe and moderate coronavirus disease 2019
BACKGROUNDSince December 2019, an outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, and is...
Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China
Abstract Background In December 2019, coronavirus 2019 (COVID-19) emerged in Wuhan and rapidly spread throughout China. Methods Demographic and clinical data of all confirmed ca...
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
Reproducible science requires transparent reporting. The ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments) were originally developed in 2010 to improve the r...
Climate Extremes: Observations, Modeling, and Impacts
One of the major concerns with a potential change in climate is that an increase in extreme events will occur. Results of observational studies suggest that in many areas that h...
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Many real-world applications require the prediction of long sequence time-series, such as electricity consumption planning. Long sequence time-series forecasting (LSTF) demands ...
Nanobeam Mechanics: Elasticity, Strength, and Toughness of Nanorods and Nanotubes
The Young's modulus, strength, and toughness of nanostructures are important to proposed applications ranging from nanocomposites to probe microscopy, yet there is little direct...
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Observational epidemiological studies are prone to confounding, reverse causation and various biases and have generated findings that have proved to be unreliable indicators of ...