Publications
Explore 943 academic publications
The MR-Base platform supports systematic causal inference across the human phenome
Results from genome-wide association studies (GWAS) can be used to infer causal relationships between phenotypes, using a strategy known as 2-sample Mendelian randomization (2SM...
WHO Declares COVID-19 a Pandemic.
The World Health Organization (WHO) on March 11, 2020, has declared the novel coronavirus (COVID-19) outbreak a global pandemic (1). At a news briefing , WHO Director-General, D...
EfficientDet: Scalable and Efficient Object Detection
Model efficiency has become increasingly important in computer vision. In this paper, we systematically study neural network architecture design choices for object detection and...
Finite Mixture Models
The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in th...
High-precision sampling for Brillouin-zone integration in metals
We present a sampling method for Brillouin-zone integration in metals which converges exponentially with the number of sampling points, without the loss of precision of normal b...
The Population Ecology of Organizations
A population ecology perspective on organization-environment relations is proposed as an alternative to the dominant adaptation perspective. The strength of inertial pressures o...
Chemistry and Properties of Nanocrystals of Different Shapes
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTChemistry and Properties of Nanocrystals of Different ShapesClemens Burda, Xiaobo Chen, Radha Narayanan, and Mostafa A. El-SayedView ...
The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling
Abstract Motivation: Homology models of proteins are of great interest for planning and analysing biological experiments when no experimental three-dimensional structures are av...
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Recently, channel attention mechanism has demonstrated to offer great potential in improving the performance of deep convolutional neural networks (CNNs). However, most existing...
Analysis of Longitudinal Data
1. Introduction 2. Design considerations 3. Exploring longitudinal data 4. General linear models 5. Parametric models for covariance structure 6. Analysis of variance methods 7....