Publications

Quantum cryptography: Public key distribution and coin tossing

When elementary quantum systems, such as polarized photons, are used to transmit digital information, the uncertainty principle gives rise to novel cryptographic phenomena unach...

Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Abstract The advent of complete genetic linkage maps consisting of codominant DNA markers [typically restriction fragment length polymorphisms (RFLPs)] has stimulated interest i...

Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results

The Origins of Totalitarianism

Essai philosophique en trois parties, la premiere sur l'antisemitisme, la deuxieme sur l'imperialisme a la fin du XIXe s., la troisieme sur le totalitarisme stalinien et nazi

Incidence of thrombotic complications in critically ill ICU patients with COVID-19

Accurate prediction of protein structures and interactions using a three-track neural network

Deep learning takes on protein folding In 1972, Anfinsen won a Nobel prize for demonstrating a connection between a protein’s amino acid sequence and its three-dimensional struc...

Inferring the historical patterns of biological evolution

Input-Output Analysis : Foundations and Extensions

This edition of Ronald Miller and Peter Blair's classic textbook is an essential reference for students and scholars in the input-output research and applications community. The...

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

A new framework for developing and evaluating complex interventions: update of Medical Research Council guidance

Complex interventions are commonly used in the health and social care services, public health practice, and other areas of social and economic policy that have consequences for ...

Climate Change 2021 – The Physical Science Basis

The Working Group I contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the physical scien...

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...