886 research outputs found

    Statistische Methoden bei unvollständigen Daten

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    Dieser Artikel gibt einen überblick über die Problematik fehlender Daten im Rahmen der statistischen Datenanalyse. Im Prinzip sollte er auch Lesern mit geringem mathematischen und statistischen Wissen dienlich sein und sie mathematisch nicht überfordern.Gegebenenfalls kann über allzu theoretische Komponenten hinweggelesen werden

    Parametric and Nonparametric Regression with Missing X's - A Review

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    This paper gives a detailed overview of the problem of missing data in parametric and nonparametric regression. Theoretical basics, properties as well as simulation results may help the reader to get familiar with the common problem of incomplete data sets. Of course, not all occurences can be discussed so this paper could be seen as an introduction to missing data within regression analysis and as an extension to the early paper of Little (1992)

    The tasks with effects model for safe concurrency

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    Today's state-of-the-art concurrent programming models either provide weak safety guarantees, making it easy to write code with subtle errors, or are limited in the class of programs that they can express. I believe that a concurrent programming model should offer strong safety guarantees such as data race freedom, atomicity, and optional determinism, while being flexible enough to express the wide range of uses for concurrency in realistic programs, and offering good performance and scalability. In my thesis research, I have defined a new concurrent programming model called tasks with effects (TWE) that is intended to fulfill these goals. The core unit of work in this model is a dynamically-created task. The model's key feature is that each task has programmer-specified effects, and a run-time scheduler is used to ensure that two tasks are run concurrently only if they have non-interfering effects. Through the combination of statically verifying the declared effects of tasks and using an effect-aware run-time scheduler, the TWE model is able to guarantee strong safety properties such as data race freedom and atomicity. I have implemented this programming model in a language called TWEJava and its accompanying runtime system. I have evaluated TWEJava's expressiveness by implementing several programs in it. This evaluation shows that it can express a variety of parallel and concurrent programs, including programs that combine unstructured concurrency driven by user input with structured parallelism for performance, a pattern that cannot be expressed by some more restrictive models for safe parallel programming. I describe the TWE programming model and provide a formal dynamic semantics for it. I also formalize the data flow analysis used to statically check effects in TWEJava programs. This analysis is used to ensure that the effect of each operation is included within the covering effect at that point in the program. The combination of these static checks with the dynamic semantics provided by the run-time system gives rise to the TWE model's strong safety guarantees. To make the TWE model usable, particularly for programs with many fine-grain tasks, a scalable, high-performance scheduler is crucial. I have designed a highly scalable scheduling algorithm for tasks with effects. It uses a tree structure corresponding to the hierarchical memory descriptions used in effect specifications, allowing scheduling operations for effects on separate parts of the tree to be performed concurrently and without explicitly checking such effects against each other. This allows for high scalability while preserving the expressiveness afforded by the hierarchical effect specifications. I describe the scalable scheduling algorithm in detail and prove that it correctly guarantees task isolation. I have evaluated this scheduler on six TWEJava programs, including programs using many fine-grain tasks. The evaluation shows that it gives significant speedups on all the programs, often comparable to versions of the programs with low-level synchronization and parallelism constructs that provide no safety guarantees. As originally defined, the TWE model could not express algorithms in which the side effects of each task are dependent on dynamic data structures and cannot be expressed statically. Existing systems that can handle such algorithms give substantially weaker safety guarantees than TWE. I developed an extension of the TWE model that enables it to be used for such algorithms. A new feature of the TWEJava language is defined to let programmers specify a set of object references that define some of the effects of a task, which can be added to dynamically as the task executes. The static covering effect checks used by TWE are extended to ensure they are still sound in the presence of such dynamic effect sets, and the formal dynamic semantics for the TWE model are extended to support these dynamic effects. I describe and implement a run-time system for handling these dynamic effects, including mechanisms to detect conflicts between dynamic effects and to abort and retry tasks when such conflicts arise. I show that this system can express parallel algorithms in which the effects of a task can only be expressed dynamically. Preliminary performance experiments show that my dynamic effect system can deliver self-relative speedups for certain benchmarks, but the current version of the system imposes substantial performance overheads. I believe that these overheads can be significantly reduced, making TWE practical to use for programs that require dynamic effects; this is a focus of my ongoing and future work

    Antibodies to Lipopolysaccharides after Immunization of Humans with the Rough Mutant Escherichia coli J5

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    To investigate whether immunization with Escherichia coli J5 boiled cells induces antibodies directed at deep core structures, antibodies against JS lipopolysaccharide (LPS), Re LPSt and Iipid A were measured in the serum of 70 volunteers before and 2 weeks after immunization. To improve the sensitivity and the specificity ofELISAt complexes of core LPS with high-density lipoproteins were used instead of free core LPS as antigens. A median three-fold increase in antibodies directed against J5 LPS was observed, but no significant increase in the antibodies against Re LPS or lipid A was found. Since JS antiserum did not react with several smooth LPS or with Re LPS and lipid At cross-reactivity could not be demonstrated. Thus, immunization of volunteers with E. coli J5 produced a modest specific antibody response against J5 LPS. The mechanism of protection previously observed with J5 antiserum remains unclea

    Green Up-Conversion Continuous-Wave Er3+Liyf4 Laser At Room-Temperature

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    We report room-temperature upconversion pumped continuous wave laser emission of 1% Er3+:LiYF4 at 551 nm excited by a Ti:sapphire laser at 810 nm. Output powers of up to 40 mW with output coupling of 6.6% have been obtained by using nearly concentric resonator design

    Spectroscopy And Green Up-Conversion Laser-Emission Of Er(3+)-Doped Crystals At Room-Temperature

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    The spectroscopic parameters of Er3+-doped crystals were determined with regard to the upconversion laser parameters of the green transition S-4(3/2) -- \u3e I-4(15/2), The influence of excited-state absorption on this laser channel was determined. Furthermore, upconversion pump mechanisms using ground-state and excited-state absorption around 810 and 970 nm were investigated by direct measurements of excited-state absorption. The spectroscopic results confirm the pulsed room-temperature laser experiments on the S-4(3/2) -- \u3e I-5(5/2) transition. The lasers based on Er:LiYF4, Er:Y3Al5O12, and Er:Lu3Al5O12 were directly excited into the upper laser level by an excimer laser pumped dye laser in the blue spectral range. In Er:LiYF4, Er:KYF4, and Er:Y3Al5O12, laser action was achieved with two-step upconversion pumping by a Ti:sapphire laser and a krypton ion laser. In the case of the fluorides, the additional pumping with the krypton ion laser was not necessary. The laser emission wavelengths were 551 nm for Er:LiYF4, 561 nm for Er:Y3Al5012 and Er:Lu3Al5O12, and 562 nm for Er:KYF4. In addition, green quasi-cw laser emission of Er:LiYF4 pumped with an argon-ion laser was realized at room temperature

    Green Up-Conversion Laser-Emission In Er-Doped Crystals At Room-Temperature

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    We report room-temperature pulsed up-conversion laser oscillation in Er-doped LiYF4 and KYF4 at 551 and 562 nm, respectively. In both crystals laser oscillation is observed on the S-4(3/2)-I-4(15/2) ground state transition. Excitation was provided by a tunable flashlamp-pumped Ti:sapphire laser in the spectral region around 810 nm. Additional pumping with a continuous wave krypton ion laser at 647 nm was beneficial to both lasers. Laser action has also been observed in Er-doped Y3Al5O12 on the same transition

    Ein aktiver und stabiler Cobaltkatalysator für die Sauerstoffentwicklungsreaktion: Polymerisation einer ionischen Flüssigkeit

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    Inspiriert durch die katalytischen Eigenschaften von Single-site-Katalysatoren und der erhöhten Leistungsfähigkeit von Metallkatalysatoren durch ionische Flüssigkeiten wurde eine Methode zur gezielten und skalierbaren Platzierung von einzelnen Cobaltatomen auf Kohlenstoffnanoröhrenoberflächen mithilfe einer polymerisierten ionischen Flüssigkeit entwickelt. Durch eine ionische Flüssigkeit wurden einzelne, fein verteilte Cobaltionen koordiniert und als heterogener Katalysator für die Sauerstoffententwicklungsreaktion (OER) genutzt. Die erhaltenen Daten zeigen eine hohe Aktivität bei gleichzeitig vorhandener Stabilität

    The effect of green tea as an adjunct to scaling and root planing in non-surgical periodontitis therapy: a systematic review

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    OBJECTIVE To provide a systematic overview on the efficacy of green tea catechin as an adjunct to scaling and root planing (SRP) in terms of probing pocket depth (PPD). MATERIALS AND METHODS A systematic literature search was performed using electronic databases in PubMed, Scopus, Medline, Cochrane, CINAHL, and Web of Science on randomized clinical trials up to January 2017. The research question was posed in accordance with PRISMA guidelines. RESULTS The search provided 234 studies. After analyzing the full texts, five studies were included, with four studies qualifying for meta-analysis. Mean PPD reduction was significantly higher (α = 0.05) when green tea catechin was used as an adjunct to SRP (test group) than with SRP alone (control group). The difference in the reduction was 0.74 mm [0.35-1.13; 95% CI]. CONCLUSION The local application of green tea catechin as an adjunct to SRP may result in a beneficial reduction in PPD. Due to the highly heterogeneous data and some risk of bias, however, this data still needs to be interpreted with caution. CLINICAL RELEVANCE The finding suggests that green tea catechin may be a topical adjunct to SRP without negative side effects
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