1,418 research outputs found

    Diagnostic and Monitoring CERN Accelerator Controls Infrastructure : The DIAMON Project First Deployment in Operation

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    The CERN accelerator controls infrastructure spans over several machines and several thousands of devices are used to collect and transmit piece of control data. Each of these remote devices might fail and therefore prevent correct operation. A complete diagnostic and monitoring infrastructure has been developed in order to provide Operation crews with complete and easy to use graphical interface presenting the state of the controls system. Simple agents running in each surveyed item periodically report monitoring information to a central server. Graphical JAVA clients in the operation centers subscribe to this monitoring data and display a view of the current state of the machines. Mouse actions from these clients allows for diagnostic commands to be sent to the agent to get additional details or to repair a faulty situation. This presentation will describe the overall architecture of DIAMON, present the different agents running in the controls system and a few views of the graphical clients. The outcome of the first months in operation of the DIAMON tools will also be presented. Finally, the future plans will be exposed

    Wavelet reconstruction of E and B modes for CMB polarisation and cosmic shear analyses

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    We present new methods for mapping the curl-free (E-mode) and divergence-free (B-mode) components of spin 2 signals using spin directional wavelets. Our methods are equally applicable to measurements of the polarisation of the cosmic microwave background (CMB) and the shear of galaxy shapes due to weak gravitational lensing. We derive pseudo and pure wavelet estimators, where E-B mixing arising due to incomplete sky coverage is suppressed in wavelet space using scale- and orientation-dependent masking and weighting schemes. In the case of the pure estimator, ambiguous modes (which have vanishing curl and divergence simultaneously on the incomplete sky) are also cancelled. On simulations, we demonstrate the improvement (i.e., reduction in leakage) provided by our wavelet space estimators over standard harmonic space approaches. Our new methods can be directly interfaced in a coherent and computationally-efficient manner with component separation or feature extraction techniques that also exploit wavelets

    Connecting Students by Integrating the 3D Virtual and Real Worlds: We Need 3D Open Source Spaces to Keep Socialization, Communication and Collaboration Alive

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    Picture a world where imagination is the only limit; a world that stimulates students to learn, communicate, play and grow. The emergence of 3D Virtual Worlds has made this a virtual reality. Until recently this virtual experience has been separated from the real world by the limitations of software (proprietary systems), and constraints of hardware and networks (stationary consoles and network connections). Such separation limits the pedagogical utility that 3D Spaces can offer students. This article peeks around the corner of innovation by exploring a number of emergent open source developments that integrate the 3D Virtual and Real Worlds into a seamless reality, one that enhances pedagogical opportunities by integrating the practical and vocational actuality of the real world with the technical and imaginable possibilities of the Virtual Worlds. These possibilities are explored with reference to recent developments, pedagogical theory, and case studies in various open source 3D Virtual Worlds

    Development of a New Polymerase Chain Reaction Assay for the Rapid Detection of the Oral Pathogenic Bacterium, Selenomonas Noxia

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    Background In recent studies, periodontal health has been linked to being overweight and/or obese. Among common oral bacteria, Selenomonas noxia has been implicated in converting periodontal health to disease, and Selenomonas species have also been found in gastric ulcers. The objective of this study was to develop and validate a quantitative polymerase chain reaction (qPCR) assay for the specific and rapid detection of S. noxia. Methods Two oligonucleotide primer pairs and one probe were designed and tested to determine optimal amplification signal with three strains of S. noxia. The PCR assay was tested against fourteen non-target organisms, including closely related oral Selenomonads, one phylogenetically closely related bacterium, and two commonly isolated oral bacteria. Results One of the primer sets was more sensitive at detecting the target organism and was selected for optimization and validation experiments. The designed primers and probe amplified the target organism with 100 % specificity. PCR inhibition was observed with an internal positive control, and inhibition was resolved by diluting the DNA extract. Conclusions The qPCR assay designed in this study can be used to specifically detect S. noxiain the clinical setting and in future research involving the enhanced detection of S. noxia. The assay can also be used in epidemiological studies for understanding the role of S. noxia in disease processes including, but not limited to, oral health and obesity of infectious origin

    Phytoplankton, Zooplankton, Macrobenthos and lchthyoplankton Abundance, Biomass and Species Composition in Onondaga Lake, 1994

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    Once a pristine recreational center and a productive fishery that supplied New York City markets with fresh fish, Onondaga Lake is now considered one of the most badly degraded bodies of water in the entire world (Sage 1993). The Onondaga Lake Management Conference was established to develop a comprehensive restoration, conservation, and management plan for Onondaga Lake that recommends priority corrective actions and a compliance schedule for cleanup of the lake. Biological assessment of the lake has been infrequent and concentrated on a few biological groups. This study either updates or establishes baseline characteristics for the following biological components of the Onondaga Lake ecosystem: phytoplankton, zooplankton, ichthyoplankton and macrobenthos

    A Crystal Structure of the Bifunctional Antibiotic Simocyclinone D8, Bound to DNA Gyrase

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    Simocyclinones are bifunctional antibiotics that inhibit bacterial DNA gyrase by preventing DNA binding to the enzyme. We report the crystal structure of the complex formed between the N-terminal domain of the Escherichia coli gyrase A subunit and simocyclinone D8, revealing two binding pockets that separately accommodate the aminocoumarin and polyketide moieties of the antibiotic. These are close to, but distinct from, the quinolone-binding site, consistent with our observations that several mutations in this region confer resistance to both agents. Biochemical studies show that the individual moieties of simocyclinone D8 are comparatively weak inhibitors of gyrase relative to the parent compound, but their combination generates a more potent inhibitor. Our results should facilitate the design of drug molecules that target these unexploited binding pockets

    Intensive versus conventional glycaemic control for treating diabetic foot ulcers

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    Background  The estimated likelihood of lower limb amputation is 10 to 30 times higher amongst people with diabetes compared to those without diabetes. Of all non-traumatic amputations in people with diabetes, 85% are preceded by a foot ulcer. Foot ulceration associated with diabetes (diabetic foot ulcers) is caused by the interplay of several factors, most notably diabetic peripheral neuropathy (DPN), peripheral arterial disease (PAD) and changes in foot structure. These factors have been linked to chronic hyperglycaemia (high levels of glucose in the blood) and the altered metabolic state of diabetes. Control of hyperglycaemia may be important in the healing of ulcers.  Objectives  To assess the effects of intensive glycaemic control compared to conventional control on the outcome of foot ulcers in people with type 1 and type 2 diabetes.  Search methods  In December 2015 we searched: The Cochrane Wounds Specialised Register; The Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library); Ovid MEDLINE; Ovid MEDLINE (In-Process & Other Non-Indexed Citations); Ovid EMBASE; EBSCO CINAHL; Elsevier SCOPUS; ISI Web of Knowledge Web of Science; BioMed Central and LILACS. We also searched clinical trial databases, pharmaceutical trial databases and current international and national clinical guidelines on diabetes foot management for relevant published, non-published, ongoing and terminated clinical trials. There were no restrictions based on language or date of publication or study setting.  Selection criteria  Published, unpublished and ongoing randomised controlled trials (RCTs) were considered for inclusion where they investigated the effects of intensive glycaemic control on the outcome of active foot ulcers in people with diabetes. Non randomised and quasi-randomised trials were excluded. In order to be included the trial had to have: 1) attempted to maintain or control blood glucose levels and measured changes in markers of glycaemic control (HbA1c or fasting, random, mean, home capillary or urine glucose), and 2) documented the effect of these interventions on active foot ulcer outcomes. Glycaemic interventions included subcutaneous insulin administration, continuous insulin infusion, oral anti-diabetes agents, lifestyle interventions or a combination of these interventions. The definition of the interventional (intensive) group was that it should have a lower glycaemic target than the comparison (conventional) group.  Data collection and analysis  All review authors independently evaluated the papers identified by the search strategy against the inclusion criteria. Two review authors then independently reviewed all potential full-text articles and trials registry results for inclusion.  Main results  We only identified one trial that met the inclusion criteria but this trial did not have any results so we could not perform the planned subgroup and sensitivity analyses in the absence of data. Two ongoing trials were identified which may provide data for analyses in a later version of this review. The completion date of these trials is currently unknown.  Authors’ conclusions  The current review failed to find any completed randomised clinical trials with results. Therefore we are unable to conclude whether intensive glycaemic control when compared to conventional glycaemic control has a positive or detrimental effect on the treatment of foot ulcers in people with diabetes. Previous evidence has however highlighted a reduction in risk of limb amputation (from various causes) in people with type 2 diabetes with intensive glycaemic control. Whether this applies to people with foot ulcers in particular is unknown. The exact role that intensive glycaemic control has in treating foot ulcers in multidisciplinary care (alongside other interventions targeted at treating foot ulcers) requires further investigation

    TOWARDS HIGH PERFORMANCE PROCESSING IN MODERN JAVA BASED CONTROL SYSTEMS

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    Abstract CERN controls software is often developed on Java foundation. Some systems carry out a combination of data, network and processor intensive tasks within strict time limits. Hence, there is a demand for high performing, quasi real time solutions. Extensive prototyping of the new CERN monitoring and alarm software required us to address such expectations. The system must handle dozens of thousands of data samples every second, along its three tiers, applying complex computations throughout. To accomplish the goal, a deep understanding of multithreading, memory management and interprocess communication was required. There are unexpected traps hidden behind an excessive use of 64 bit memory or severe impact on the processing flow of modern garbage collectors. Tuning JVM configuration significantly affects the execution of the code. Even more important is the amount of threads and the data structures used between them. Accurately dividing work into independent tasks might boost system performance. Thorough profiling with dedicated tools helped understand the bottlenecks and choose algorithmically optimal solutions. Different virtual machines were tested, in a variety of setups and garbage collection options. The overall work provided for discovering actual hard limits of the whole setup. We present this process of architecting a challenging system in view of the characteristics and limitations of the contemporary Java runtime environment

    Controlling magnetic anisotropy in La<sub>0.7</sub>Sr<sub>0.3</sub>MnO<sub>3</sub> nanostructures

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    We have developed a chlorine based dry etching process for nanopatterning the ferromagnetic oxide La&lt;sub&gt;0.7&lt;/sub&gt;Sr&lt;sub&gt;0.3&lt;/sub&gt;MnO&lt;sub&gt;3&lt;/sub&gt; (LSMO). Large arrays of millions of identical structures have been fabricated from thin LSMO films by electron-beam lithography and reactive ion etching. SQUID magnetometry demonstrates that patterned nanostructures with lateral dimensions down to 100 nm retain their full magnetization and the Curie temperature of the bulk layer. In addition, their shape anisotropy is sufficient to overcome the crystalline anisotropy of the bulk. High resolution scanning transmission electron microscopy shows that crystallinity is preserved even at the edges of the nanostructures

    Is Entrepreneurial Success Predictable? An Ex-Ante Analysis of the Character-Based Approach

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    This paper empirically analyzes whether the character-based approach, which focuses on the personality structure and the human capital of business founders, allows prediction of entrepreneurial success. A unique data set is used consisting of 414 persons whose personal characteristics were analyzed by different methods, namely an one-day assessment center (AC) and a standardized questionnaire, before they launched their business. Results are partly unexpected and weaker than previous ex-post findings: first, we found correlations between the AC data and the questionnaire in one subgroup only. Second, the predictive power of the AC data is slightly better than that of the questionnaire, but lower than expected in theory. Interestingly, for those subgroups where the AC data have low predictive power, the questionnaire does better. Third, when success is measured in terms of employees hired, the character-based approach is a poor predictor. Copyright 2008 The Authors.
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