1,245 research outputs found
Bacteriorhodopsin folds through a poorly organized transition state.
The folding mechanisms of helical membrane proteins remain largely uncharted. Here we characterize the kinetics of bacteriorhodopsin folding and employ φ-value analysis to explore the folding transition state. First, we developed and confirmed a kinetic model that allowed us to assess the rate of folding from SDS-denatured bacteriorhodopsin (bRU) and provides accurate thermodynamic information even under influence of retinal hydrolysis. Next, we obtained reliable φ-values for 16 mutants of bacteriorhodopsin with good coverage across the protein. Every φ-value was less than 0.4, indicating the transition state is not uniquely structured. We suggest that the transition state is a loosely organized ensemble of conformations
A classification of data quality assessment and improvement methods
Data quality (DQ) assessment and improvement in larger
information systems would often not be feasible without using suitable “DQ
methods”, which are algorithms that can be automatically executed by
computer systems to detect and/or correct problems in datasets. Currently, these
methods are already essential, and they will be of even greater importance as
the quantity of data in organisational systems grows. This paper provides a
review of existing methods for both DQ assessment and improvement and
classifies them according to the DQ problem and problem context. Six gaps
have been identified in the classification, where no current DQ methods exist,
and these show where new methods are required as a guide for future research
and DQ tool development.This is the accepted manuscript. It's currently embargoed pending publication by Inderscience
Effectiveness of health education in increasing the duration of exclusive breastfeeding in low income countries: a systematic review
Background: The protective effects of exclusive breastfeeding (EBF) to the health of infants and mothers alike have been well documented. The rates of EBF remain low in spite of the recognized benefits and the persistent global call for infants to be breastfed exclusively on breast milk for the first six months of life. Health education has been widely suggested as one of the key intervention strategies for increasing the duration of EBF in low income countries.
Objective: To conduct a systematic review to assess the effectiveness of health education interventions in
increasing the duration of EBF in low income countries. A secondary objective of the review was to identify the theoretical bases of both effective/non-effective interventions and also to identify the educational methods that were utilized.
Methods: Systematic review of experimental and quasi-experimental studies of health education interventions that evaluated exclusive breastfeeding outcome. Studies not published in English language and studies not reporting exclusive breastfeeding outcome were excluded. A narrative synthesis was used.
Data Sources: Studies dating from 1980 – 2013 in English language were searched in the following databases: Cochrane Central Register of Controlled Trials, MEDLINE, Academic Search Complete. ScienceDirect and Google Scholar search engine.
Results: Twelve (12) studies were identified. Five were randomized controlled trials and additional three were
before-after studies with control groups. The remaining four were non-randomized controlled trial. Only one study applied a theoretical framework in developing and implementing the intervention. EBF rate was significantly higher in the intervention groups compared with the control groups in ten (10) of the studies. The remaining two (2) studies reported no difference in EBF rates between the intervention groups and the control groups. Most of the studies reviewed had important methodological limitations.
Conclusion: Because of the methodological limitations of most of the included studies, firm conclusion on the effectiveness of health education interventions in increasing the duration of exclusive breastfeeding in low income countries cannot be made. Nonetheless there is a potential for this to be achieved if more methodologically rigorous health education interventions are developed and evaluated in low income countries
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Evaluating the applicability of multi-agent software for implementing distributed industrial data management approaches
Distributed approaches to industrial control or information management problems are often tackled using Multi-agent methods. Multi-Agent systems – solutions resulting from taking a Multi-agent based approaches - often come with a certain amount of “overhead” such as communication systems, but can provide a helpful tool with the design and implementation. In this paper, a distributed data management problem is addressed with both a bespoke approach developed specifically for this problem and a more general Multi-agent approach. The two approaches are compared using architecture and software metrics. The software metric results show similar results, although overall the bespoke approach was more appropriate for the particular application examined. The architectural analysis indicates that the main reason for this difference is the communication and computation overhead associated with the agent-based system. It was not within the scope of this study to compare the two approaches under multiple application scenarios.BoeingThis is the author accepted manuscript. The final version is available from Springer via http://dx.doi.org/10.1007/978-3-319-15159-5_1
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Overcoming limited dataset availability when working with industrial organisations
Increasing data security and privacy requirements combined with the need for additional data management research leads to a conflict for industrial companies. In order to solve their industrial data management problems companies need to share some of their data, but their internal confidentiality rules sometimes hamper this sharing process. Existing techniques for sharing data without releasing company secrets often loose some of the problems/characteristics within the data. This paper therefore presents a qualitative process to overcome this problem of industrial data sharing while still enabling external researchers to develop relevant solutions to organizational problems. It is based on initial trials with two industrial case studies and showed some promising results.BoeingThis is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1109/INDIN.2015.728184
A risk based model for quantifying the impact of information quality
Information quality is one of the key determinants of information system success. When information quality is poor, it can cause a variety of risks in an organization. To manage resources for information quality improvement effectively, it is necessary to understand where, how, and how much information quality impacts an organization's ability to successfully deliver its objectives. So far, existing approaches have mostly focused on the measurement of information quality but not adequately on the impact that information quality causes. This paper presents a model to quantify the business impact that arises through poor information quality in an organization by using a risk based approach. It hence addresses the inherent uncertainty in the relationship between information quality and organizational impact. The model can help information managers to obtain quantitative figures which can be used to build reliable and convincing business cases for information quality improvement.EPSRCThis is the author accepted manuscript. The final version can be found on the publisher's website at: http://www.sciencedirect.com/science/article/pii/S0166361513002467 © 2013 Elsevier B.V. All rights reserved
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Towards automatically generating supply chain maps from natural language text
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Extracting supply chain maps from news articles using deep neural networks
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Author Correction: A cell-free platform for the prenylation of natural products and application to cannabinoid production.
In the original version of this Article, the genotype of the M30 mutant presented in Fig. 3b was given incorrectly as Y288V/A232S, and the M31 mutant was given incorrectly as M1/A232S. The correct genotype of the M30 mutant is Y288A/A232S and for M31 it is Y288V/A232S. In addition, to keep consistency in genotype formatting, the genotype of the M27 mutant should be Y288V/G286S. The errors have been corrected in both the PDF and HTML versions of the Article
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