375 research outputs found
Estimating Ambient Air Pollution Using Structural Properties of Road Networks
In recent years, the world has become increasingly concerned with air
pollution. Particularly in the global north, countries are implementing systems
to monitor air pollution on a large scale to aid decision-making, focusing on
urban areas. Such efforts are essential but costly and are difficult to
implement expediently. In this paper, we demonstrate that we can estimate air
pollution using open-source information about the structural properties of
roads within the United Kingdom. Our approach makes it possible to implement an
inexpensive method of estimating air pollution in the United Kingdom to an
accuracy level that can underpin policymakers' decisions while providing an
estimate in all regions in the UK, not just urban areas.
Impact Statement. We show that a linear regression model using a single
structural property -- length of the track and unclassified road network within
0.5\% of districts within England and Wales -- can accurately estimate which
regions of the UK are the most polluted. The model presents a low-cost yet
effective alternative to more expensive models such as the one currently used
by DEFRA in the UK. The model has apparent practical uses for policymakers who
want to pursue clean-air initiatives but lack the capital to invest in
comprehensive monitoring networks. Its low implementation cost, accessible
model design, and worldwide coverage of the dataset provide a basis for
implementing systems to estimate air pollution levels in low-income countries.Comment: Main File 19 pages, 10 Figures, 4 Tables. Supplementary File 17
pages, 13 figures, 14 tables. Edited to fix TeX issue
A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated Prediction Intervals
Global ambient air pollution, a transboundary challenge, is typically
addressed through interventions relying on data from spatially sparse and
heterogeneously placed monitoring stations. These stations often encounter
temporal data gaps due to issues such as power outages. In response, we have
developed a scalable, data-driven, supervised machine learning framework. This
model is designed to impute missing temporal and spatial measurements, thereby
generating a comprehensive dataset for pollutants including NO, O,
PM, PM, and SO. The dataset, with a fine granularity of
0.25 at hourly intervals and accompanied by prediction intervals for
each estimate, caters to a wide range of stakeholders relying on outdoor air
pollution data for downstream assessments. This enables more detailed studies.
Additionally, the model's performance across various geographical locations is
examined, providing insights and recommendations for strategic placement of
future monitoring stations to further enhance the model's accuracy.Comment: Main Paper: 25 pages, 15 figures, 5 tables. Supplementary: 4 pages, 3
figure
Comparing open and minimally invasive surgical procedures for oesophagectomy in the treatment of cancer: the ROMIO (Randomised Oesophagectomy: Minimally Invasive or Open) feasibility study and pilot trial
Localised oesophageal cancer can be curatively treated with surgery (oesophagectomy) but the procedure is complex with a risk of complications, negative effects on quality of life and a recovery period of 6-9 months. Minimal-access surgery may accelerate recovery.The ROMIO (Randomised Oesophagectomy: Minimally Invasive or Open) study aimed to establish the feasibility of, and methodology for, a definitive trial comparing minimally invasive and open surgery for oesophagectomy. Objectives were to quantify the number of eligible patients in a pilot trial; develop surgical manuals as the basis for quality assurance; standardise pathological processing; establish a method to blind patients to their allocation in the first week post surgery; identify measures of postsurgical outcome of importance to patients and clinicians; and establish the main cost differences between the surgical approaches.Pilot parallel three-arm randomised controlled trial nested within feasibility work.Two UK NHS departments of upper gastrointestinal surgery.Patients aged â„â18 years with histopathological evidence of oesophageal or oesophagogastric junctional adenocarcinoma, squamous cell cancer or high-grade dysplasia, referred for oesophagectomy or oesophagectomy following neoadjuvant chemo(radio)therapy.Oesophagectomy, with patients randomised to open surgery, a hybrid open chest and minimally invasive abdomen or totally minimally invasive access.The primary outcome measure for the pilot trial was the number of patients recruited per month, with the main trial considered feasible if at least 2.5 patients per month were recruited.During 21 months of recruitment, 263 patients were assessed for eligibility; of these, 135 (51%) were found to be eligible and 104 (77%) agreed to participate, an average of five patients per month. In total, 41 patients were allocated to open surgery, 43 to the hybrid procedure and 20 to totally minimally invasive surgery. Recruitment is continuing, allowing a seamless transition into the definitive trial. Consequently, the database is unlocked at the time of writing and data presented here are for patients recruited by 31 August 2014. Random allocation achieved a good balance between the arms of the study, which, as a high proportion of patients underwent their allocated surgery (69/79, 87%), ensured a fair comparison between the interventions. Dressing patients with large bandages, covering all possible incisions, was successful in keeping patients blind while pain was assessed during the first week post surgery. Postsurgical length of stay and risk of adverse events were within the typical range for this group of patients, with one death occurring within 30 days among 76 patients. There were good completion rates for the assessment of pain at 6 days post surgery (88%) and of the patient-reported outcomes at 6 weeks post randomisation (74%).Rapid recruitment to the pilot trial and the successful refinement of methodology indicated the feasibility of a definitive trial comparing different approaches to oesophagectomy. Although we have shown a full trial of open compared with minimally invasive oesophagectomy to be feasible, this is necessarily based on our findings from the two clinical centres that we could include in this small preliminary study.Current Controlled Trials ISRCTN59036820.This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 20, No. 48. See the NIHR Journals Library website for further project information
The most creative organization in the world? The BBC, 'creativity' and managerial style
The managerial styles of two BBC directors-general, John Birt and Greg Dyke, have often been contrasted but not so far analysed from the perspective of their different views of 'creative management'. This article first addresses the orthodox reading of 'Birtism'; second, it locates Dyke's 'creative' turn in the wider context of fashionable neo-management theory and UK government creative industries policy; third, it details Dyke's drive to change the BBC's culture; and finally, it concludes with some reflections on the uncertainties inherent in managing a creative organisation
Qualitative Exploration of the Impact of a Television Soap Opera Storyline on Women with Experience of Postpartum Psychosis
Background
Postpartum psychosis has recently been the focus of an in-depth storyline on a British television soap opera watched by millions of viewers.
Aims
This research explored how the storyline and concomitant increase in public awareness of postpartum psychosis have been received by women who have recovered from the condition.
Method
Nine semistructured, one-to-one interviews were conducted with women who had experienced postpartum psychosis. Thematic analysis consistent with Braun and Clarke's six-step approach was used to generate themes from the data.
Results
Public exposure provided by the postpartum psychosis portrayal was deemed highly valuable, and its mixed reception encompassed potentially therapeutic benefits in addition to harms.
Conclusions
Public awareness of postpartum psychosis strongly affects women who have experienced postpartum psychosis. This research highlights the complexity of using television drama for public education and may enable mental health organisations to better focus future practices of raising postpartum psychosis awareness
Trends in summer heatwaves in central Asia from 1917 to 2016: Association with largeâscale atmospheric circulation patterns
The feasibility of a randomized controlled trial of esophagectomy for esophageal cancer - the ROMIO (Randomized Oesophagectomy: Minimally Invasive or Open) study: protocol for a randomized controlled trial
PDBe: towards reusable data delivery infrastructure at protein data bank in Europe
© 2017 The Authors. Published by OUP. This is an open access article available under a Creative Commons licence.
The published version can be accessed at the following link on the publisherâs website: https://doi.org/10.1093/nar/gkx1070The Protein Data Bank in Europe (PDBe, pdbe.org) is actively engaged in the deposition, annotation, remediation, enrichment and dissemination of macromolecular structure data. This paper describes new developments and improvements at PDBe addressing three challenging areas: data enrichment, data dissemination and functional reusability. New features of the PDBe Web site are discussed, including a context dependent menu providing links to raw experimental data and improved presentation of structures solved by hybrid methods. The paper also summarizes the features of the LiteMol suite, which is a set of services enabling fast and interactive 3D visualization of structures, with associated experimental maps, annotations and quality assessment information. We introduce a library of Web components which can be easily reused to port data and functionality available at PDBe to other services. We also introduce updates to the SIFTS resource which maps PDB data to other bioinformatics resources, and the PDBe REST API.Wellcome Trust [104948]; UK Biotechnology and Biological Sciences Research Council [BB/M011674/1, BB/N019172/1, BB/M020347/1]; European Union [284209]; European Molecular Biology Laboratory (EMBL). Funding for open access charge: EMBL.Published versio
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