Erratum to: Updated measurement of time-dependent CP\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasys...
...Published in The European Physical Journal C
In the Introduction section of the original article [1].
A Bayesian mixture modeling approach for public health surveillance.
Published in Biostatistics (Oxford, England)
Spatial monitoring of trends in health data plays an important part of public health surveillance. Most commonly, it is used to understand the etiology of a public health issue, to assess the impact of an intervention, or to provide detection of unusual behavior. In this article, we present a Bayesian mixture model for public health surveillance, w...
TxChain: efficient cyptocurrency light clients via contingent transaction aggregation.
Cryptocurrency light- or simplified payment verification (SPV) clients allow nodes with limited resources to efficiently verify execution of payments. Instead of downloading the entire blockchain, only block headers and selected transactions are stored. Still, the storage and bandwidth cost, linear in blockchain size, remain non-negligible, especia...
The Arctic and the UK: climate, research and engagement
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This discussion paper explains how the UK’s climate is linked to conditions in the Arctic, and why a UK Arctic science strategy is integral to understanding how global warming will change the Arctic and affect the UK.
Report 28: Excess non-COVID-19 deaths in England and Wales between 29th February and 5th June 2020
There were 189,403 deaths from any cause reported in England from 29th February to 5th June 2020 inclusive, and 11,278 all-cause deaths in Wales over the same period. Of those deaths, 44,736 (23.6%) registered COVID-19 on the death certificate in England, and 2,294 (20.3%) in Wales, while 144,667 (76.4%) were not recorded as having been due to COVI...
Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis
Objective: Multi-Frequency Symmetry Difference Electrical Impedance Tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the algorithm can be successfully applied to identify the aetiology of stroke with the aid of machine learning. Methods: Anatomicall...
Methods and indicators for measuring patterns of human exposure to malaria vectors
Potential impact of the COVID-19 pandemic on HIV, TB and malaria in low- and middle-income countries: A Modelling Study
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Background: COVID-19 has the potential to cause substantial disruptions to health services, including by cases overburdening the health system or response measures limiting usual programmatic activities. We aimed to quantify the extent to which disruptions in services for human immunodeficiency virus (HIV), tuberculosis (TB) and malaria in low- and...
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of ...
Large-scale convolutional neural networks (CNNs) suffer from very long training times, spanning from hours to weeks, limiting the productivity and experimentation of deep learning practitioners. As networks grow in size and complexity, training time can be reduced through low-precision data representations and computations. However, in doing so the...
Report 27 Adapting hospital capacity to meet changing demands during the COVID-19 pandemic
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To meet the growing demand for hospital care due to the COVID-19 pandemic, England implemented a range of hospital provision interventions including the procurement of equipment, the establishment of additional hospital facilities and the redeployment of staff and other resources. Additionally, to further release capacity across England’s National ...
