Development of a superhydrophobic polyurethane-based coating from a two-step plasma-fluoroalkyl silane treatment

A method of achieving a superhydrophobic surface based upon a highly filled polyurethane (PU) paint coating has been demonstrated through the use of a combined oxygen/argon plasma pretreatment and a fluoroalkyl silane (FAS) final treatment. The combined plasma-FAS treated PU surface has been investigated and characterised using: field emission gun secondary electron microscope (FEG-SEM); X-ray photoelectron spectroscopy (XPS); energy-dispersive X-ray spectroscopy (EDX); water contact angle analysis (WCA); atomic force microscopy (AFM), and; Fourier transform infrared spectroscopy (FTIR). It was found that the oxygen/argon plasma treatment increased both the surface roughness (Ra) and surface free energy (SFE) of the PU paint coating from approximately 60-320 nm, and, from ~52 to ~80 mN/m respectively. It was also found that the plasma process created a multiscale roughened texture through the process of differential ablation between the PU polymer and the barium sulphate solid content, which is present in the paint as an extender, and other additives. In addition, the process also imparted favourable polar groups into the PU surface from the ionised and radical oxygen species in the plasma. When the FAS coating was subsequently applied to the PU without prior plasma treatment, there was a significant increases in water contact angles. This parameter increased from approximately 60°on untreated PU to around 130°with FAS applied. In this case, the SFE decreased to ~7.5 mN/m and showed 42.0 at% fluorine present as indicated by XPS. However, subsequently applying the FAS polymer after plasma pretreatment takes advantage of the known synergistic relationship that exists between surface roughness and low surface free energy coatings. The two processes combined to create superhydrophobicity with a surface that exhibited water contact angles up to 153.1°. With this optimised process, the apparent SFE was 0.84 mN/m with a more highly fluorinated surface present. In this case 47.2 at% surface fluorine was observed by XPS. In addition to changes in SFE, plasma treatment was also observed to alter levels of surface gloss and colour. After exposure to 600 s of plasma gloss levels are shown to reduce from values of from ~50 to ~21 (GU), with small but significant corresponding increases in the lightness and yellowness of the surface

The Frequency and Content of Discussions About Alcohol Use in Primary Care and Application of the Chief Medical Officer’s Low-Risk Drinking Guidelines: A Cross-Sectional Survey of General Practitioners and Practice Nurses in the UK

ABSTRACT Aims: To examine how often General Practitioners (GPs) and Practice Nurses (PNs) working in primary care discuss alcohol with patients, what factors prompt discussions, how they approach patient discussions, and whether the Chief Medical Officer’s (CMO’s) revised low-risk drinking guidelines are appropriately advised. Methods: Cross-sectional survey with GPs and PNs working in primary care in the UK, conducted January-March 2017 (n=2,020). A vignette exercise examined what factors would prompt a discussion about alcohol, whether they would discuss before or after a patient reported exceeded the revised CMO guidelines (14 units per week), and whether the CMO’s drinking guidelines were appropriately advised. For all patients, participants were asked how often they discussed alcohol and how they approached the discussion (e.g. used screening tool). Results: The most common prompts to discuss alcohol in the vignette exercise were physical cues (44.7% of participants) or alcohol-related symptoms (23.8%). Most practitioners (70.1%) said they would wait until a patient was exceeding CMO guidelines before instigating discussion. Two-fifths (38.1%) appropriately advised the CMO guidelines in the vignette exercise, with PNs less likely to do so than GPs (OR=0.77, p=0.03). Less than half (44.7%) reportedly asked about alcohol always/often with all patients, with PNs more likely to ask always/often than GPs (OR=2.22, p<0.001). Almost three-quarters said they would enquire by asking about units (70.3%), compared to using screening tools. Conclusion: Further research is required to identify mechanisms to increase the frequency of discussions about alcohol and appropriate recommendation of the CMO drinking guidelines to patients.This research was supported by funding from Cancer Research UK. JMB is supported by the Medical Research Council (MRC) (Grant MC_UU_12015/4)

Louse (Insecta : Phthiraptera) mitochondrial 12S rRNA secondary structure is highly variable

Lice are ectoparasitic insects hosted by birds and mammals. Mitochondrial 12S rRNA sequences obtained from lice show considerable length variation and are very difficult to align. We show that the louse 12S rRNA domain III secondary structure displays considerable variation compared to other insects, in both the shape and number of stems and loops. Phylogenetic trees constructed from tree edit distances between louse 12S rRNA structures do not closely resemble trees constructed from sequence data, suggesting that at least some of this structural variation has arisen independently in different louse lineages. Taken together with previous work on mitochondrial gene order and elevated rates of substitution in louse mitochondrial sequences, the structural variation in louse 12S rRNA confirms the highly distinctive nature of molecular evolution in these insects

Notes on the ecology of Ethiopian Bush-crow Zavattariornis stresemanni

We used the focal sampling method to conduct a behavioural study of the endemic Ethiopian Bush-crow Zavattariornis stresemanni in the Yabelo-Mega area of southern Ethiopia. We found that feeding rates were lower in areas with low sward height and low numbers of trees. This was particularly concerning given the degradation of natural habitat in this area

How did smokers respond to standardised cigarette packaging with new, larger health warnings in the United Kingdom during the transition period? A cross-sectional online survey

Introduction: In the United Kingdom, standardised packaging for cigarettes was phased in between May 2016 and May 2017. We assessed whether there was an association between using standardised packs and warning salience, thoughts about the risks of smoking, thoughts about quitting, and awareness and use of stop-smoking websites. Methods: We conducted a cross-sectional online survey with current smokers aged 16 and over (N = 1865) recruited in two regions of England between February-April 2017, when both standardised and fully-branded packs were on the market. Participants were asked about use of standardised packs, warning salience (noticing, reading closely), and whether the packs they were using increased thoughts of the risks of smoking and quitting. They were also asked about awareness of stop-smoking websites, source of awareness (including warnings on packs), and whether they had visited a stop-smoking website. Results: Most participants reported currently using standardised packs (76.4%), 9.3% were not currently using them but had previously used them, and 14.3% had never used them. Compared with never users, current users were more likely to have noticed the warnings on packs often/very often (AOR (95%CI) = 2.76 (2.10, 3.63)), read them closely often/very often (AOR(95%CI) = 2.16 (1.51, 3.10)), thought somewhat/a lot about the health risks of smoking (AOR(95%CI) = 1.92 (1.38, 2.68)), and thought somewhat/a lot about quitting (AOR(95%CI) = 1.90 (1.30, 2.77)). They were also more likely to have noticed a stop-smoking website on packs. Conclusions: Consistent with the broad objectives of standardised packaging, we found that it was associated with increased warning salience and thoughts about risks and quittingOutput Status: Forthcoming/Available Onlin

Tracking Multiple Topics for Finding Interesting Articles

We introduce multiple topic tracking (MTT) for iScore to better recommend news articles for users with multiple interests and to address changes in user interests over time. As an extension of the basic Rocchio algorithm, traditional topic detection and tracking, and single-pass clustering, MTT maintains multiple interest profiles to identify interesting articles for a specific user given user-feedback. Focusing on only interesting topics enables iScore to discard useless profiles to address changes in user interests and to achieve a balance between resource consumption and classification accuracy. iScore is able to achieve higher quality results than traditional methods such as the Rocchio algorithm. We identify several operating parameters that work well for MTT. Using the same parameters, we show that MTT alone yields high quality results for recommending interesting articles from several corpora. The inclusion of MTT improves iScore's performance by 25% in recommending news articles from the Yahoo! News RSS feeds and the TREC11 adaptive filter article collection. And through a small user study, we show that iScore can still perform well when only provided with little user feedback

A Marketplace for Ontologies and Ontology-Based Tools and Applications in the Life Sciences

This paper describes a strategy for the development of ontologies in the life sciences, tools to support the creation and use of those ontologies, and a framework whereby these ontologies can support the development of commercial applications within the field. At the core of these efforts is the need for an organization that will provide a focus for ontology work that will engage researchers as well as drive forward the commercial aspects of this effort

Algebraic Comparison of Partial Lists in Bioinformatics

The outcome of a functional genomics pipeline is usually a partial list of genomic features, ranked by their relevance in modelling biological phenotype in terms of a classification or regression model. Due to resampling protocols or just within a meta-analysis comparison, instead of one list it is often the case that sets of alternative feature lists (possibly of different lengths) are obtained. Here we introduce a method, based on the algebraic theory of symmetric groups, for studying the variability between lists ("list stability") in the case of lists of unequal length. We provide algorithms evaluating stability for lists embedded in the full feature set or just limited to the features occurring in the partial lists. The method is demonstrated first on synthetic data in a gene filtering task and then for finding gene profiles on a recent prostate cancer dataset

Information Extraction from Unstructured Text for the Biodefense Knowledge Center

The Bio-Encyclopedia at the Biodefense Knowledge Center (BKC) is being constructed to allow an early detection of emerging biological threats to homeland security. It requires highly structured information extracted from variety of data sources. However, the quantity of new and vital information available from every day sources cannot be assimilated by hand, and therefore reliable high-throughput information extraction techniques are much anticipated. In support of the BKC, Lawrence Livermore National Laboratory and Oak Ridge National Laboratory, together with the University of Utah, are developing an information extraction system built around the bioterrorism domain. This paper reports two important pieces of our effort integrated in the system: key phrase extraction and semantic tagging. Whereas two key phrase extraction technologies developed during the course of project help identify relevant texts, our state-of-the-art semantic tagging system can pinpoint phrases related to emerging biological threats. Also we are enhancing and tailoring the Bio-Encyclopedia by augmenting semantic dictionaries and extracting details of important events, such as suspected disease outbreaks. Some of these technologies have already been applied to large corpora of free text sources vital to the BKC mission, including ProMED-mail, PubMed abstracts, and the DHS's Information Analysis and Infrastructure Protection (IAIP) news clippings. In order to address the challenges involved in incorporating such large amounts of unstructured text, the overall system is focused on precise extraction of the most relevant information for inclusion in the BKC