1,020 research outputs found
Developing an e-infrastructure for social science
We outline the aims and progress to date of the National Centre for e-Social
Science e-Infrastructure project. We examine the challenges faced by the project, namely in
ensuring outputs are appropriate to social scientists, managing the transition from research
projects to service and embedding software and data within a wider infrastructural
framework. We also provide pointers to related work where issues which have ramifications
for this and similar initiatives are being addressed
CART Raman Lidar Aerosol and Water Vapor Measurements in the Vicinity of Clouds
Aerosol and water vapor profiles acquired by the Raman lidar instrument located at the Climate Research Facility (CRF) at Southern Great Plains (SGP) provide data necessary to investigate the atmospheric variability in the vicinity of clouds near the top of the planetary boundary layer (PBL). Recent CARL upgrades and modifications to the routine processing algorithms afforded the necessarily high temporal and vertical data resolutions for these investigations. CARL measurements are used to investigate the behavior of aerosol backscattering and extinction and their correlation with water vapor and relative humidity
Progress on the Use of Combined Analog and Photon Counting Detection for Raman Lidar
The Atmospheric Radiation Measurement (ARM) program Raman Lidar (CARL) was upgraded in 2004 with a new data system that provides simultaneous measurements of both the photomultiplier analog output voltage and photon counts. The so-called merge value added procedure (VAP) was developed to combine the analog and count-rate signals into a single signal with improved dynamic range. Earlier versions of this VAP tended to cause unacceptably large biases in the water vapor mixing ratio during the daytime as a result of improper matching between the analog and count-rate signals in the presence of elevated solar background levels. We recently identified several problems and tested a modified version of the merge VAP by comparing profiles of water vapor mixing ratio derived from CARL with simultaneous sonde data over a six month period. We show that the modified merge VAP significantly reduces the daytime bias, and results in mean differences that are within approximately 1% for both nighttime and daytime measurements
In vitro efficacy of tavaborole topical solution, 5% after penetration through nail polish on ex vivo human fingernails
This document is the Accepted Manuscript of the following article: Aditya K. Gupta, et al, 'In vitro efficacy of tavaborole topical solution, 5% after penetration through nail polish on ex vivo human fingernails', Journal of Dermatological Treatment, Jan 2018. Under embargo until 10 January 2019. The final, published version is available online at doi: https://doi.org/10.1080/09546634.2017.1422078.Background: Topical antifungal treatments for onychomycosis are applied to clean, unpolished nails for 48 weeks or longer. Patients often wish to mask their infection with nail polish yet there is no evidence to suggest antifungal efficacy in the presence of nail polish. Objective: To determine if tavaborole retains the ability to penetrate the nail plate and inhibit fungal growth in the presence of nail polish. Method: Tavaborole was applied to human fingernails painted with 2 or 4 coats of nail polish, and unpainted nails in an ex vivo model. Nails were mounted on TurChub ® chambers seeded with Trichophyton rubrum and allowed to incubate for 7 days. Antifungal activity was assessed by measuring zones of inhibition. Results and conclusion: Tavaborole exhibited antifungal activity in all experimental groups. The zones of inhibition of T. rubrum for all experimental groups (2 or 4 coats of polish, unpolished) were greater than infected controls (polished and unpolished), p s <.001. Tavaborole penetrates polished nails and kills T. rubrum in this ex vivo model.Peer reviewe
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Variable responses of human and non-human primate gut microbiomes to a Western diet
BACKGROUND: The human gut microbiota interacts closely with human diet and physiology. To better understand the mechanisms behind this relationship, gut microbiome research relies on complementing human studies with manipulations of animal models, including non-human primates. However, due to unique aspects of human diet and physiology, it is likely that host-gut microbe interactions operate differently in humans and non-human primates. RESULTS: Here, we show that the human microbiome reacts differently to a high-protein, high-fat Western diet than that of a model primate, the African green monkey, or vervet (Chlorocebus aethiops sabaeus). Specifically, humans exhibit increased relative abundance of Firmicutes and reduced relative abundance of Prevotella on a Western diet while vervets show the opposite pattern. Predictive metagenomics demonstrate an increased relative abundance of genes associated with carbohydrate metabolism in the microbiome of only humans consuming a Western diet. CONCLUSIONS: These results suggest that the human gut microbiota has unique properties that are a result of changes in human diet and physiology across evolution or that may have contributed to the evolution of human physiology. Therefore, the role of animal models for understanding the relationship between the human gut microbiota and host metabolism must be re-focused.P40 OD010965 - NIH HHS; P40 RR019963 - NCRR NIH HHS; P51 OD011132 - NIH HHS; R01 RR016300 - NCRR NIH HHS; 5R01RR016300 - NCRR NIH HH
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
River water-quality monitoring is increasingly conducted using automated in
situ sensors, enabling timelier identification of unexpected values. However,
anomalies caused by technical issues confound these data, while the volume and
velocity of data prevent manual detection. We present a framework for automated
anomaly detection in high-frequency water-quality data from in situ sensors,
using turbidity, conductivity and river level data. After identifying end-user
needs and defining anomalies, we ranked their importance and selected suitable
detection methods. High priority anomalies included sudden isolated spikes and
level shifts, most of which were classified correctly by regression-based
methods such as autoregressive integrated moving average models. However, using
other water-quality variables as covariates reduced performance due to complex
relationships among variables. Classification of drift and periods of
anomalously low or high variability improved when we applied replaced anomalous
measurements with forecasts, but this inflated false positive rates.
Feature-based methods also performed well on high priority anomalies, but were
also less proficient at detecting lower priority anomalies, resulting in high
false negative rates. Unlike regression-based methods, all feature-based
methods produced low false positive rates, but did not and require training or
optimization. Rule-based methods successfully detected impossible values and
missing observations. Thus, we recommend using a combination of methods to
improve anomaly detection performance, whilst minimizing false detection rates.
Furthermore, our framework emphasizes the importance of communication between
end-users and analysts for optimal outcomes with respect to both detection
performance and end-user needs. Our framework is applicable to other types of
high frequency time-series data and anomaly detection applications
Evaluation of the ability of a novel miconazole formulation to penetrate nail by using three in vitro nail models
This document is the Accepted Manuscript of the following article: Luisa Christensen, Rob Turner, Sean Weaver, Francesco Caserta, Lisa Long, Mahmoud Ghannoum, and Marc Brown, ‘Evaluation of the Ability of a Novel Miconazole Formulation To Penetrate Nail by Using Three In Vitro Nail Models’, Antimicrobial Agents and Chemotherapy, Vol. 61 (7): e02554-16, July 2017. The final, published version is available online at DOI: https://doi.org/10.1128/AAC.02554-16.In an effort to increase the efficacy of topical medications for treating onychomycosis, several new nail penetration enhancers were recently developed. In this study, the ability of 10% (wt/wt) miconazole nitrate combined with a penetration enhancer formulation to permeate the nail is demonstrated by the use of a selection of in vitro nail penetration assays. These assays included the bovine hoof, TurChub zone of inhibition, and infected-nail models.Peer reviewedFinal Accepted Versio
Stillbirth Memento Photography
Research into stillbirth memento photography shows the practice to be welcomed by the bereaved. The visual attributes and content of stillbirth memento photographs are yet to be rigorously analysed however, representing a significant gap in current understanding. This study seeks to address this. 51 professionally produced stillbirth memento photographs have been sampled, anonymised and analysed. Using a content analysis methodology, imagery was characterised by aesthetic and semantic properties. The results were then cross-referenced against existing stillbirth scholarship, data from an interview study with people who had experienced pregnancy loss, and against image theories. The content analysis identified four distinctive image tropes in the sample: images of mother, father and baby, with the baby being held and the parents touching; macro photography of the baby; portrait photographs of babies lying alone with little or no physical trauma evident; and images of a parent, usually the mother, cradling the baby. The analysis also identified specific attributes, present across the sample, that appeared significant and distinctive of stillbirth memento photography. These were: (1) stylistic attributes, (2) acknowledgement and validation, (3) identity construction, (4) ambiguity and (5) embodiment
European Paediatric Formulation Initiative (EuPFI)-Formulating Ideas for Better Medicines for Children.
© American Association of Pharmaceutical Scientists 2016, published by Springer US, available online at doi: https://doi.org/10.1208/s12249-016-0584-1The European Paediatric Formulation Initiative (EuPFI), founded in 2007, aims to promote and facilitate the preparation of better and safe medicines for children through linking research and information dissemination. It brings together the capabilities of the industry, academics, hospitals, and regulators within a common platform in order to scope the solid understanding of the major issues, which will underpin the progress towards the future of paediatric medicines we want.The EuPFI was formed in parallel to the adoption of regulations within the EU and USA and has served as a community that drives research and dissemination through publications and the organisation of annual conferences. The membership and reach of this group have grown since its inception in 2007 and continue to develop and evolve to meet the continuing needs and ambitions of research into and development of age appropriate medicines. Five diverse workstreams (age-appropriate medicines, Biopharmaceutics, Administration Devices, Excipients and Taste Assessment & Taste Masking (TATM)) direct specific workpackages on behalf of the EuPFI. Furthermore, EuPFI interacts with multiple diverse professional groups across the globe to ensure efficient working in the area of paediatric medicines. Strong commitment and active involvement of all EuPFI stakeholders have proved to be vital to effectively address knowledge gaps related to paediatric medicines, discuss potential areas for further research and identify issues that need more attention and analysis in the future.Peer reviewedFinal Accepted Versio
Aquilegia Volume 41 No. 2 Spring 2017
IN THIS ISSUE
Western Slope Festival: June 3-4 in Gunnison
FIELD TRIPS
Native Plant Selections from Plant Select®
Velma Richards 1917-2017
2016 State of the Society Report
Conservation Corner: The Botany Bill
Cinquefoils at the Elkhorn Study Area
Revegetation Projects Introduce Two New Penstemon Specieshttps://epublications.regis.edu/aquilegia/1193/thumbnail.jp
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