AXAF VETA-I mirror encircled energy measurements and data reduction

The AXAF VETA-I mirror encircled energy was measured with a series of apertures and two flow gas proportional counters at five X-ray energies ranging from 0.28 to 2.3 keV. The proportional counter has a thin plastic window with an opaque wire mesh supporting grid. Depending on the counter position, this mesh can cause the X-ray transmission to vary as much as +/-9 percent, which directly translates into an error in the encircled energy. In order to correct this wire mesh effect, window scan measurements were made, in which the counter was scanned in both horizontal (Y) and vertical (Z) directions with the aperture fixed. Post VETA measurement of the VXDS setup were made to determine the exact geometry and position of the mesh grid. Computer models of the window mesh were developed to simulate the X-ray transmission based on this measurement. The window scan data were fitted to such mesh models and corrections were made. After this study, the mesh effect was well understood and the final results of the encircled energy were obtained with an uncertainty of less than 0.8 percent

The BHLF1 locus of Epstein-Barr virus contributes to viral latency and B-cell immortalization

Funding: U.S. Public Health Service grant AI110328 to J.T.S. and in part by Commonwealth Universal Research Enhancement (CURE) funds. L.N.L. received support from National Cancer Institute training grant T32 CA060395, and is a Lymphoma Research Foundation Grantee.The Epstein-Barr virus (EBV) BHLF1 gene encodes an abundant linear and several circular RNAs believed to perform non-coding functions during virus replication, though an open reading frame is retained among an unknown percentage of EBV isolates. Evidence suggests that BHLF1 is also transcribed during latent infection, which prompted us to investigate the contribution of this locus to latency. Analysis of transcripts transiting BHLF1 revealed its transcription is widespread among B-cell lines supporting the latency I or III program of EBV protein expression, and to be more complex than originally presumed. EBV-negative Burkitt lymphoma cell lines infected with either wild-type or two different BHLF1 mutant EBVs were initially indistinguishable in supporting latency III. However, cells infected with BHLF1- virus ultimately transitioned to the more restrictive latency I, whereas cells infected with wild-type virus either sustained latency III or transitioned more slowly to latency I. Upon infection of primary B cells, which require latency III for growth in vitro, both BHLF1- viruses exhibited variably reduced immortalization potential relative to wild-type virus. Finally, in transfection experiments, efficient protein expression from an intact BHLF1 ORF required the EBV post-transcriptional regulator protein SM, whose expression is limited to the replicative cycle. Thus, one way in which BHLF1 may contribute to latency is through a mechanism, possibly mediated or regulated by a long non-coding RNA, that supports latency III critical for the establishment of EBV latency and lifelong persistence within its host, whereas any retained protein-dependent function of BHLF1 may be restricted to the replication cycle. Importance. Epstein-Barr virus (EBV) has significant oncogenic potential that is linked to its latent infection of B lymphocytes, during which virus replication is not supported. Establishment of latent infection, which is life long and can precede tumor development by years, requires the concerted actions of nearly a dozen EBV proteins and numerous small non-protein-coding RNAs. Elucidation of how these EBV products contribute to latency is crucial to understanding EBV's role in specific malignancies, and ultimately to clinical intervention. Historically, EBV genes that contribute to virus replication have been excluded from consideration of a role in latency, primarily because of the general incompatibility between virus production and cell survival. However, here we provide evidence that the genetic locus containing one such gene, BHLF1, indeed contributes to key aspects of EBV latency, including its ability to promote continuous growth of B lymphocytes, thus providing significant new insight into EBV biology and oncogenic potential.PostprintPeer reviewe

Medication supply to residential aged care facilities in Western Australia using a centralized medication chart to replace prescriptions

<p>Abstract</p> <p>Background</p> <p>Current model of medication supply to R(RACFs) in Australia is dependent on paper-based prescriptions. This study is aimed at assessing the use of a centralized medication chart as a prescription-less model for supplying medications to RACFs.</p> <p>Methods</p> <p>Two separate focus groups were conducted with general practitioners (GPs) and pharmacists, and another three with registered nurses (RNs) and carers combined. All focus group participants were working with RACFs. Audio-recorded data were compared with field notes, transcribed and imported into NVivo® where it was thematically analyzed.</p> <p>Results</p> <p>A prescription-less medication chart model was supported and it appeared to potentially improve medication supply to RACF residents. Centralization of medication supply, clarification of medication orders and responding in real-time to therapy changes made by GPs were reasons for supporting the medication chart model. Pharmacists preferred an electronic version of this model. All health professionals cautioned against the need for GPs regularly reviewing the medication chart and proposed a time interval of four to six months for this review to occur. Therapy changes during weekends appeared a potential difficulty for RNs and carers whereas pharmacists cautioned about legible writing and claiming of medications dispensed according to a paper-based model. GPs cautioned on the need to monitor the amount of medications dispensed by the pharmacy.</p> <p>Conclusion</p> <p>The current use of paper prescriptions in nursing homes was identified as burdensome. A prescription-less medication chart model was suggested to potentially improve medication supply to RACF residents. An electronic version of this model could address main potential difficulties raised.</p

The whole genome sequence of the Mediterranean fruit fly, Ceratitis capitata (Wiedemann), reveals insights into the biology and adaptive evolution of a highly invasive pest species

The Mediterranean fruit fly (medfly), Ceratitis capitata, is a major destructive insect pest due to its broad host range, which includes hundreds of fruits and vegetables. It exhibits a unique ability to invade and adapt to ecological niches throughout tropical and subtropical regions of the world, though medfly infestations have been prevented and controlled by the sterile insect technique (SIT) as part of integrated pest management programs (IPMs). The genetic analysis and manipulation of medfly has been subject to intensive study in an effort to improve SIT efficacy and other aspects of IPM control

Evaluation of a community pharmacy-based intervention for improving patient adherence to antihypertensives: a randomised controlled trial

BackgroundThe majority of patients using antihypertensive medications fail to achieve their recommended target blood pressure. Poor daily adherence with medication regimens and a lack of persistence with medication use are two of the major reasons for failure to reach target blood pressure. There is no single intervention to improve adherence with antihypertensives that is consistently effective. Community pharmacists are in an ideal position to promote adherence to chronic medications. This study aims to test a specific intervention package that could be integrated into the community pharmacy workflow to enable pharmacists to improve patient adherence and/or persistence with antihypertensive medications - Hypertension Adherence Program in Pharmacy (HAPPY).Methods/DesignThe HAPPY trial is a multi-centre prospective randomised controlled trial. Fifty-six pharmacies have been recruited from three Australian states. To identify potential patients, a software application (MedeMine CVD) extracted data from a community pharmacy dispensing software system (FRED Dispense&reg;). The pharmacies have been randomised to either \u27Pharmacist Care Group\u27 (PCG) or \u27Usual Care Group\u27 (UCG). To check for \u27Hawthorne effect\u27 in the UCG, a third group of patients \u27Hidden Control Group\u27 (HCG) will be identified in the UCG pharmacies, which will be made known to the pharmacists at the end of six months. Each study group requires 182 patients. Data will be collected at baseline, three and six months in the PCG and at baseline and six months in the UCG. Changes in patient adherence and persistence at the end of six months will be measured using the self-reported Morisky score, the Tool for Adherence Behaviour Screening and medication refill data.DiscussionTo our knowledge, this is the first research testing a comprehensive package of evidence-based interventions that could be integrated into the community pharmacy workflow to enable pharmacists to improve patient adherence and/or persistence with antihypertensive medications. The unique features of the HAPPY trial include the use of MedeMine CVD to identify patients who could potentially benefit from the service, control for the \u27Hawthorne effect\u27 in the UCG and the offer of the intervention package at the end of six months to patients in the UCG, a strategy that is expected to improve retention.Trial RegistrationAustralian New Zealand Clinical Trial Registry ACTRN12609000705280<br /

Short-term Building Energy Model Recommendation System: A Meta-learning Approach

High-fidelity and computationally efficient energy forecasting models for building systems are needed to ensure optimal automatic operation, reduce energy consumption, and improve the building’s resilience capability to power disturbances. Various models have been developed to forecast building energy consumption. However, given buildings have different characteristics and operating conditions, model performance varies. Existing research has mainly taken a trial-and-error approach by developing multiple models and identifying the best performer for a specific building, or presumed one universal model form which is applied on different building cases. To the best of our knowledge, there does not exist a generalized system framework which can recommend appropriate models to forecast the building energy profiles based on building characteristics. To bridge this research gap, we propose a meta-learning based framework, termed Building Energy Model Recommendation System (BEMR). Based on the building’s physical features as well as statistical and time series meta-features extracted from the operational data and energy consumption data, BEMR is able to identify the most appropriate load forecasting model for each unique building. Three sets of experiments on 48 test buildings and one real building were conducted. The first experiment was to test the accuracy of BEMR when the training data and testing data cover the same condition. BEMR correctly identified the best model on 90% of the buildings. The second experiment was to test the robustness of the BEMR when the testing data is only partially covered by the training data. BEMR correctly identified the best model on 83% of the buildings. The third experiment uses a real building case to validate the proposed framework and the result shows promising applicability and extensibility. The experimental results show that BEMR is capable of adapting to a wide variety of building types ranging from a restaurant to a large office, and gives excellent performance in terms of both modeling accuracy and computational efficiency

The national burden of road traffic injuries in Thailand

Background: This study quantifies the burden of road traffic injuries (RTIs) in Thailand in 2004, incorporating new Thai data on mortality and the frequency and severity of long-term disability

Evaluation of a community pharmacy-based intervention for improving patient adherence to antihypertensives: a randomised controlled trial

BackgroundThe majority of patients using antihypertensive medications fail to achieve their recommended target blood pressure. Poor daily adherence with medication regimens and a lack of persistence with medication use are two of the major reasons for failure to reach target blood pressure. There is no single intervention to improve adherence with antihypertensives that is consistently effective. Community pharmacists are in an ideal position to promote adherence to chronic medications. This study aims to test a specific intervention package that could be integrated into the community pharmacy workflow to enable pharmacists to improve patient adherence and/or persistence with antihypertensive medications - Hypertension Adherence Program in Pharmacy (HAPPY).Methods/DesignThe HAPPY trial is a multi-centre prospective randomised controlled trial. Fifty-six pharmacies have been recruited from three Australian states. To identify potential patients, a software application (MedeMine CVD) extracted data from a community pharmacy dispensing software system (FRED Dispense&reg;). The pharmacies have been randomised to either \u27Pharmacist Care Group\u27 (PCG) or \u27Usual Care Group\u27 (UCG). To check for \u27Hawthorne effect\u27 in the UCG, a third group of patients \u27Hidden Control Group\u27 (HCG) will be identified in the UCG pharmacies, which will be made known to the pharmacists at the end of six months. Each study group requires 182 patients. Data will be collected at baseline, three and six months in the PCG and at baseline and six months in the UCG. Changes in patient adherence and persistence at the end of six months will be measured using the self-reported Morisky score, the Tool for Adherence Behaviour Screening and medication refill data.DiscussionTo our knowledge, this is the first research testing a comprehensive package of evidence-based interventions that could be integrated into the community pharmacy workflow to enable pharmacists to improve patient adherence and/or persistence with antihypertensive medications. The unique features of the HAPPY trial include the use of MedeMine CVD to identify patients who could potentially benefit from the service, control for the \u27Hawthorne effect\u27 in the UCG and the offer of the intervention package at the end of six months to patients in the UCG, a strategy that is expected to improve retention.Trial RegistrationAustralian New Zealand Clinical Trial Registry ACTRN12609000705280<br /

Genome of the Asian Longhorned Beetle (\u3cem\u3eAnoplophora glabripennis\u3c/em\u3e), a Globally Significant Invasive Species, Reveals Key Functional and Evolutionary Innovations at the Beetle-Plant Interface

Background: Relatively little is known about the genomic basis and evolution of wood-feeding in beetles. We undertook genome sequencing and annotation, gene expression assays, studies of plant cell wall degrading enzymes, and other functional and comparative studies of the Asian longhorned beetle, Anoplophora glabripennis, a globally significant invasive species capable of inflicting severe feeding damage on many important tree species. Complementary studies of genes encoding enzymes involved in digestion of woody plant tissues or detoxification of plant allelochemicals were undertaken with the genomes of 14 additional insects, including the newly sequenced emerald ash borer and bull-headed dung beetle. Results: The Asian longhorned beetle genome encodes a uniquely diverse arsenal of enzymes that can degrade the main polysaccharide networks in plant cell walls, detoxify plant allelochemicals, and otherwise facilitate feeding on woody plants. It has the metabolic plasticity needed to feed on diverse plant species, contributing to its highly invasive nature. Large expansions of chemosensory genes involved in the reception of pheromones and plant kairomones are consistent with the complexity of chemical cues it uses to find host plants and mates. Conclusions: Amplification and functional divergence of genes associated with specialized feeding on plants, including genes originally obtained via horizontal gene transfer from fungi and bacteria, contributed to the addition, expansion, and enhancement of the metabolic repertoire of the Asian longhorned beetle, certain other phytophagous beetles, and to a lesser degree, other phytophagous insects. Our results thus begin to establish a genomic basis for the evolutionary success of beetles on plants