226 research outputs found
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Measured Water Temperature Characteristics in a Pipeline Distribution System
YesThis paper describes the design, development, deployment and performance assessment of a
prototype system for monitoring the 'health' of a water distribution network based on the
temperature distribution and time-dependent variations in temperature across the network. It
has been found that the water temperature can reveal unusual events in a water distribution
network, indicated by dynamic variations in spatial temperature differential. Based on this
indication it is shown how patterns of changes in the water temperature can be analysed using
AQUIS pipeline distribution software and used in conjunction with hydraulic (e.g. flow and
pressure) sensors to indicate the state of ¿health¿ of the network during operation
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Artificial Neural Network Model for a Low Cost Failure Sensor: Performance Assessment in Pipeline Distribution
YesThis paper describes an automated event detection and
location system for water distribution pipelines which is based upon
low-cost sensor technology and signature analysis by an Artificial
Neural Network (ANN). The development of a low cost failure
sensor which measures the opacity or cloudiness of the local water
flow has been designed, developed and validated, and an ANN based
system is then described which uses time series data produced by
sensors to construct an empirical model for time series prediction and
classification of events. These two components have been installed,
tested and verified in an experimental site in a UK water distribution
system. Verification of the system has been achieved from a series of
simulated burst trials which have provided real data sets. It is
concluded that the system has potential in water distribution network
management
Recent developments in scholarly publishing to improve research practices in the life sciences
This is the author accepted manuscript. The final version is available from Portland Press via the DOI in this record.We outline recent developments in scholarly publishing that we think will improve the working environment and career prospects for life scientists. Most prominently, we discuss two key developments. (1) Life scientists are now embracing a preprint culture leading to rapid dissemination of research findings. (2) We outline steps to overcome the reproducibility crisis. We also briefly describe other innovations in scholarly publishing, along with changes to open access mandates from funding agencies.John Templeton Foundatio
Clinical implications of increased testing in primary care
This is the final version. Available from BMJ Publishing Group via the DOI in this recor
Economic inequalities in burden of illness, diagnosis and treatment of five long-term conditions in England: panel study
We compared the distribution by wealth of self-reported illness burden (estimated from validated scales, biomarker and reported symptoms) for angina, cataract, depression, diabetes and osteoarthritis, with the distribution of self-reported medical diagnosis and treatment. We aimed to determine if the greater illness burden borne by poorer participants was matched by appropriately higher levels of diagnosis and treatment
As NMR of Ba(FeCo)As in High Magnetic Field
The superconducting state of an optimally doped single crystal of
Ba(FeCo)As was investigated by As NMR in high
magnetic fields from 6.4 T to 28 T. It was found that the Knight shift is least
affected by vortex supercurrents in high magnetic fields, T, revealing
slow, possibly higher order than linear, increase with temperature at , with . This is consistent with the
extended s-wave state with symmetry but the precise details of the gap
structure are harder to resolve. Measurements of the NMR spin-spin relaxation
time, , indicate a strong indirect exchange interaction at all
temperatures. Below the superconducting transition temperature vortex dynamics
lead to an anomalous dip in at the vortex freezing transition from which
we obtain the vortex phase diagram up to T.Comment: 13 pages, 9 figure
Modelling both the continual erosion and regeneration of discolouration material in drinking water distribution systems
The erosion of the cohesive layers of particulate matter that causes discolouration in water
distribution system mains has previously been modelled using the Prediction of Discolouration in
Distribution Systems (PODDS) model. When first proposed, PODDS featured an unvalidated
means by which material regeneration on pipe walls could be simulated. Field and laboratory studies
of material regeneration have yielded data that suggest that the PODDS formulations incorrectly
model these processes.
A new model is proposed to overcome this shortcoming. It tracks the relative amount of
discolouration material that is bound to the pipe wall over time at each of a number of shear
strengths. The model formulations and a mass transport model have been encoded as software,
which has been used to verify the model’s constructs and undertake sensitivity analyses. The new
formulations for regeneration are conceptually consistent with field and laboratory observed data
and has potential value in the proactive management of water distribution systems, such as
evaluating change in discolouration risk and planning timely interventions
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