No description available.

Proefschrift--Nijmegen--Katholieke Universiteit, 2001. / Bibliogr. p. 298-301.

Würzburg, Univ., Diss., 2004. / Erscheinungsjahr an der Haupttitelstelle: 2003. Computerdatei im Fernzugriff.

Würzburg, University, Diss., 2004. / Erscheinungsjahr an der Haupttitelstelle: 2003.

Obesity is the most common nutritional disorder in small animal medicine and is closely related to the mortality and morbidity of various diseases. Decreasing the incidence of obesity is considered to be the most important way to maintain health, prevent disease, and contribute to longevity. Diet therapy using low glycemic index starch (LGIS) and diacylglycerol (DAG) may thus be a reasonable obesity management tool without unnecessary food restriction, forced physical activity, and impairment of health. Beagles were prepared for a weight loss study by inducing obesity using a high caloric/human snack food combination. These obese dogs were then fed diets containing either LGIS/HGIS and DAG/TAG for a 10 wk weight loss period. The LGIS groups lost more weight than the high glycemic index starch (HGIS) groups (2% vs 1% per wk) due to lower total diet digestibilities. Even though the dogs had consumed similar amounts of the diets on a weight basis, the amounts of metabolizable energy (ME) ingested overall differed between the two starch types. Diet effects were found for plasma triglyceride (TG) at both wk 1 and 8. Post-prandial TG lowering was observed only with a LGIS/DAG diet combination. LGIS groups showed less decreased post-prandial non esterified fatty acid (NEFA) concentrations compared with HGIS groups at both wk 1 and 8. At both wk 1 and 8, plasma insulin was significantly lower in the LGIS groups although glucose concentrations were similar among all groups. Plasma gastric inhibitory polypeptide (GIP) increased in all groups but tended to be lower in the LGIS groups. Significant time effects were seen in glucagon-like peptide-1 (GLP-1) at both wk 1 and 8; however, diet effects were not observed. Plasma adiponectin concentrations were significantly higher in the LGIS/DAG group vs. all other diet groups. Significantly lower plasma leptin concentrations were found, especially in the LGIS/DAG group. Combinations of LGI starch and oils decreased uncoupling protein-2 (UCP2) mRNA gene expression in the small intestine compared with the combinations of HGI starch and oils. These findings indicate that the LGIS/DAG combination beneficially supports more efficient and healthy weight loss in dogs along with improvement in biochemical and hormonal biomarkers. This combination may be preferred for healthy canine weight loss and to help prevent obesity related diseases.

<p>The LOIS project aims at building a radio sensor and IT infrastructure in the south of Sweden, primarily with but not limited to the goal of space observations. Signals received produce a gigantic stream of data that has to be processed in real time. Our purpose is scheduling stream computations to computation nodes in such a way that the performance requirements are met. We built a framework where different local and global scheduling algorithms can be executed and tested including a number of benchmarking programs, comparing the performances.</p><p>We will try to use a method as simple as possible. Given the results of the different local schedules as input – mapping parallel computations (tasks) to processors – along with some parameters such as the algorithm to apply and machine parameters, the framework will compute a global schedule. Moreover, the framework will visualize the results. We understand that framework as a graphic interface able to simulate the manipulation of different tasks, as well as different measurement groups. Showing the better performances is a big aid in order to improve the stream computation.</p>

Le problème de l'extraction d'information dans des documents semi-structurés, du type XML, constitue un des plus importants domaines de la recherche actuelle en informatique. Il a généré un grand nombre de travaux tant d'un point de vue pratique, que d'un point de vue théorique. Dans ce travail de thèse, notre étude porte sur deux objectifs : 1. évaluation des requêtes sur un document assujetti à une politique de contrôle d'accès, 2. évaluation des requêtes sur un document pouvant être partiellement ou totalement compressé. Notre étude porte essentiellement sur l'évaluation des requêtes unaires, càd. sélectionnant un ensemble des noeuds du document qui satisfont les propriétés spéciées par la requête. Pour exprimer les requêtes, nous utilisons le XPath le principal langage de sélection dans les documents XML. Grâce à ses axes navigationels, et ses ltres qualicatifs, XPath permet la navigation dans des documents XML, et la sélection des noeuds répondant à la requête. Les expressions XPath sont à la base de plusieurs formalismes de requêtes comme XQuery, XSLT, ils permettent également de dénir les clés d'accès dans XML Schema et XLink, et de référencer les éléments d'un document externe dans XPointer.

Financial market and its various components are currently in turmoil. Many large corporations are devising new ways to overcome the current market instability. Consequently, any study fostering the understanding of financial markets and the dependencies of various market components would greatly benefit both the practitioners and academicians. To understand different parts of the financial market, this dissertation employs time series methods to model causality and structure and degree of dependence. The relationship of housing market prices for nine U.S. census divisions is studied in the first essay. The results show that housing market is very interrelated. The New England and West North Central census divisions strongly lead house prices of the rest of the country. Further evidence suggests that house prices of most census divisions are mainly influenced by house price changes of other regions. The interdependence of oil prices and stock market indices across countries is examined in the second essay. The general dependence structure and degree is estimated using copula functions. The findings show weak dependence between stock market indices and oil prices for most countries except for the large oil producing nations which show high dependence. The dependence structure for most oil consuming (producing) countries is asymmetric implying that stock market index and oil price returns tend to move together more during the market downturn (upturn) than a market boom (downturn). In the third essay, the relationship among stock returns of ten U.S. sectors is studied. Copula models are used to explore the non-linear, general association among the series. The evidence shows that sectors are strongly related to each other. Energy sector is relatively weakly connected with the other sectors. The strongest dependence is between the Industrials and Consumer Discretionary sectors. The high dependence suggests small (if any) gains from industry diversification in U.S. In conclusion, the correct formulation of relationships among variables of interest is crucial. This is one of the fundamental issues in portfolio analysis. Hence, a thorough examination of time series models that are used to understand interactions of financial markets can be helpful for devising more accurate investment strategies.

The development of wide-area networks and the availability of powerful computers as low-cost commodity components are changing the face of computation. These progresses in technology make it possible to utilize geographically distributed resources in multiple owner domains to solve large-scale problems in science, engineering and commerce. Research on this topic has led to the emergence of Grid computing. To achieve the promising potentials of tremendous distributed resources in the Grid, effective and efficient scheduling algorithms are fundamentally important. However, scheduling problems are well known for their intractability, and many of instances are in fact NP-Complete. The situation becomes even more challenging in the Grid circumstances due to some unique characteristics of the Grid. Scheduling algorithms in traditional parallel and distributed systems, which usually run on homogeneous and dedicated resources, cannot work well in the new environments. This work focuses on workflow scheduling algorithms in the Grid scenario. New challenges are discussed, previous research in this realm is surveyed, and novel heuristic algorithms addressing the challenges are proposed and tested. The proposed algorithms contribute to the literature by taking the following factors into account when a schedule for a DAG-based workflow is produced: predictable performance fluctuation and non-deterministic performance model of Grid resources, the computation and data staging co-scheduling, the clustering characteristic of Grid resource distribution, and the ability to reschedule according to performance change after the initial schedule is made. The performance of proposed algorithms are tested and analyzed by simulation under different workflow and resource configurations. / Thesis (Ph.D, Computing) -- Queen's University, 2009-04-23 22:30:09.646

Thesis (M.S.)--University of Wisconsin--Madison, 1967. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.