196,348 research outputs found
A parallel molecular dynamics simulation code for dialkyl cationic surfactants
No full textWe have developed a new simulation code, COMFORT, for the study of assemblies of flexible surfactant molecules, structured for parallel execution and specialised to surfactants with dialkyl chain geometry. The approach is a hybrid domain-decomposition and systolic-loop algorithm which is suitable for systems composed of long chain molecules and with tens of thousands of atoms in total. The algorithm uses a modified Ewald technique for two dimensionally periodic systems which has been successfully parallelized. The code was designed to be highly portable between machines of different architectures. The code has been tested on a number of platforms including the Intel iPSC/860, the IBM SP1, the CRAY T3D, a SGI Power Challenge and a number of workstation clusters. We demonstrate that scalable parallel computing technology, combined with appropriate software, can provide a commercially viable simulation system for use in the exploration and development of surfactant assemblies
t-pollington/developments_tau_statistic: First release
No full textCode release archived on Zenodo from the following paper:
@ARTICLE{Pollington2021, author={Pollington, T.M. and Tildesley, M.J. and Hollingsworth, T.D. and Chapman, L.A.C.},
volume = {42},
pages = {100438},
year = {2021},
note = {Towards Spatial Data Science},
issn = {2211-6753},
title={{Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic}},
journal={Spatial Statistics},
doi={10.1016/j.spasta.2020.100438},
url = {https://www.sciencedirect.com/science/article/pii/S2211675320300324},
keywords = {Second order dependence, Pointwise confidence interval, Bias corrected accelerated BCa, Percentile confidence interval, Spatial bootstrap, Graphical hypothesis test} }Please contact Timothy M Pollington as corresponding author on [email protected] for any assistance.
TMP, LACC & TDH gratefully acknowledge funding of the NTD Modelling Consortium by the Bill &
Melinda Gates Foundation (BMGF) (grant number OPP1184344) and LACC acknowledges funding of
the SPEAK India consortium by BMGF (grant number OPP1183986). Views, opinions, assumptions
or any other information set out in this article should not be attributed to BMGF or any person
connected with them. TMP's PhD is supported by the Engineering & Physical Sciences Research
Council, Medical Research Council and University of Warwick (grant number EP/L015374/1). TMP
thanks Big Data Institute for hosting him during this work
How predictable are flu pandemics?
No full textThere were at least four flu pandemics in the past century, but is it possible to predict how many there might be in the century to come? Edward Hill, Michael Tildesley and Thomas House analyse 300 years of outbreaks in search of clues
Inference for a spatio-temporal model with partial spatial data: African horse sickness virus in Morocco example
No full textAn example randomly generated region-level spatial distribution and code associated with Emma L. Fairbanks, Matthew Baylis, Janet M. Daly, Michael J. Tildesley. Inference for a spatio-temporal model with partial spatial data: African horse sickness virus in Morocco,
Epidemics, 2022, 100566, ISSN 1755-4365, https://doi.org/10.1016/j.epidem.2022.100566.
(https://www.sciencedirect.com/science/article/pii/S1755436522000202)
Abstract: African horse sickness virus (AHSV) is a vector-borne virus spread by midges (Culicoides spp.). The virus causes African horse sickness (AHS) disease in some species of equid. AHS is endemic in parts of Africa, previously emerged in Europe and in 2020 caused outbreaks for the first time in parts of Eastern Asia. Here we analyse a unique historic dataset from the 1989-1991 emergence of AHS in Morocco in a naïve population of equids. Sequential Monte Carlo and Markov chain Monte Carlo techniques are used to estimate parameters for a spatial–temporal model using a transmission kernel. These parameters allow us to observe how the transmissiblity of AHSV changes according to the distance between premises. We observe how the spatial specificity of the dataset giving the locations of premises on which any infected equids were reported affects parameter estimates. Estimations of transmissiblity were similar at the scales of village (location to the nearest 1.3 km) and region (median area 99 km2), but not province (median area 3000 km2). This data-driven result could help inform decisions by policy makers on collecting data during future equine disease outbreaks, as well as policies for AHS control.
Keywords: Vector-borne disease; Spatio-temporal model; Bayesian inferenc
sj-pdf-1-smm-10.1177_09622802211070257 - Supplemental material for Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number
No full textSupplemental material, sj-pdf-1-smm-10.1177_09622802211070257 for Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number by Matt J. Keeling, Louise Dyson, Glen Guyver-Fletcher, Alex Holmes, Malcolm G Semple, , Michael J. Tildesley and Edward M. Hill in Statistical Methods in Medical Research</p
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
No full text"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
Disease prevention versus data privacy : using landcover maps to inform spatial epidemic models
No full textThe availability of epidemiological data in the early stages of an outbreak of an infectious disease is vital for modelers to make accurate predictions regarding the likely spread of disease and preferred intervention strategies. However, in some countries, the necessary demographic data are only available at an aggregate scale. We investigated the ability of models of livestock infectious diseases to predict epidemic spread and obtain optimal control policies in the event of imperfect, aggregated data. Taking a geographic information approach, we used land cover data to predict UK farm locations and investigated the influence of using these synthetic location data sets upon epidemiological predictions in the event of an outbreak of foot-and-mouth disease. When broadly classified land cover data were used to create synthetic farm locations, model predictions deviated significantly from those simulated on true data. However, when more resolved subclass land use data were used, moderate to highly accurate predictions of epidemic size, duration and optimal vaccination and ring culling strategies were obtained. This suggests that a geographic information approach may be useful where individual farm-level data are not available, to allow predictive analyses to be carried out regarding the likely spread of disease. This method can also be used for contingency planning in collaboration with policy makers to determine preferred control strategies in the event of a future outbreak of infectious disease in livestock
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
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