Publications
Explore 197 academic publications
The Theory of Economic Regulation
The state—the machinery and power of the state—is a potential resource or threat to every industry in the society. With its power to prohibit or compel, to take or give money, t...
Prospering in Dynamically-Competitive Environments: Organizational Capability as Knowledge Integration
Unstable market conditions caused by innovation and increasing intensity and diversity of competition have resulted in organizational capabilities rather than served markets bec...
Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK
UK Research and Innovation, National Institutes for Health Research (NIHR), Coalition for Epidemic Preparedness Innovations, Bill & Melinda Gates Foundation, Lemann Foundation, ...
Introduction to Social Research: Quantitative and Qualitative Approaches
Introduction Some Central Issues Research Questions From Research Questions to Data Quantitative Research Design Collecting Quantitative Data The Analysis of Quantitative Data D...
Environmental and Health Impacts of Air Pollution: A Review
One of our era's greatest scourges is air pollution, on account not only of its impact on climate change but also its impact on public and individual health due to increasing mo...
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has b...
<i>Mercury 4.0</i>: from visualization to analysis, design and prediction
The program Mercury , developed at the Cambridge Crystallographic Data Centre, was originally designed primarily as a crystal structure visualization tool. Over the years the fi...
Measure Theory and Fine Properties of Functions
This book provides a detailed examination of the central assertions of measure theory in n-dimensional Euclidean space and emphasizes the roles of Hausdorff measure and the capa...
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality. To...