101,861 research outputs found

    Characterizing global work-conserving scheduling tardiness with uniform instances on multiprocessors

    No full text
    Soft real-time multiprocessor systems need scheduling policies introducing small overheads and for which it is possible to give guarantees on tardiness (i.e., the maximum delay that might arise with respect to job deadlines) in order to assess their feasibility in specific applications. For these reasons, lightweight policies such as Global Earliest Deadline First, and First-in First-out are preferred. Much effort has been spent in literature to provide efficiently computable tardiness bounds for periodic task systems scheduled on multiprocessors, but still, no exact bounds are known and results are given for specific classes of instances. In this paper, we use a work-conserving policy to schedule uniform instances, namely synchronous and periodic task systems in which tasks have the same period length and the same job length. We analytically derive a tight bound on the maximum tardiness and we give the exact length of the schedule hyper-period, showing that the latter can be computed in time linear in the number of processors. This result provides a lower bound to tardiness for the more general class of instances and is intended to close the gap with the upper bound from below

    Effect of 6 years enzyme replacement therapy on plasma and urine glycosaminoglycans in attenuated MPS I patients

    No full text
    Enzyme-replacement therapy (ERT) is a new option for the clinical management of MPS I, However, no detailed data are available on the structural characterization of glycosaminoglycans (GAGs) in the urine and plasma of patients before ERT and during treatment regimens. Before ERT and over two-week period of enzyme infusion, GAGs in urine and plasma were analyzed in two patients with Hurler-Scheie form of MPS I subjected to ERT for 6 years. In both patients before ERT, high amounts of a GAG were found in the urine, composed in particular of a high molecular mass polymer (about 13,000-13,500) consisting of about 75-78% iduronic acid and rich in 4-sulphated disaccharides (deltaDi4s) and attributable to DS. Furthermore, a high amount of this GAG was dirctly detected in the blood. Plasma GAGs in MPS I patients subjected to ERT were found to be comparable to those of normal subjects with the absence of heparan sulphate and of DS. On the contrary, a plysaccharide possessing a high molecular mass, about 11,500-12,000, lower than the polymer extracted before ERT but slightly higer than the controls (about 11,000), was found in the urine of both patients. This macromolecule was characterized as a mixture of DS/chondroitin sulfated based on the high percentage of 4-suphated disaccharide (4s/6s ratio of about 3.1) and iduronic acid (about 60%). These results are indicative of the incapacity of ERT at tha standard dose to definitively eliminate DS from the urine. Finally, a variable effect of ERT depending on each administration was also observed

    Automated Knowledge Graph Completion for Natural Language Understanding: Known Paths and Future Directions

    No full text
    Knowledge Graphs (KGs) are large collections of structured data that can model real world knowledge and are important assets for the companies that employ them. KGs are usually constructed iteratively and often show a sparse structure. Also, as knowledge evolves, KGs must be updated and completed. Many automatic methods for KG Completion (KGC) have been proposed in the literature to reduce the costs associated with manual maintenance. Motivated by an industrial case study aiming to enrich a KG specifically designed for Natural Language Understanding tasks, this paper presents an overview of classical and modern deep learning completion methods. In particular, we delve into Large Language Models (LLMs), which are the most promising deep learning architectures. We show that their applications to KGC are affected by several shortcomings, namely they neglect the structure of KG and treat KGC as a classification problem. Such limitations, together with the brittleness of the LLMs themselves, stress the need to create KGC solutions at the interface between symbolic and neural approaches and lead to the way ahead for future research in intelligible corpus-based KGC

    Glycosaminoglycan content in term and preterm milk during the first month of lactation

    No full text
    Background: In a recent study, we performed a complete structural characterization of glycosaminoglycans (GAGs) in human mature milk. However, no data are available on the total content of GAGs in human milk from healthy mothers having delivered term or preterm newborns. Objectives: In this study, we evaluated the total content of GAGs in pooled milk from healthy mothers having delivered term or preterm newborns during the first month of lactation. Methods: Highly specific and sensitive analytical approaches were used to quantify human milk total GAGs. Results: Highest GAG values are present at day 4 (9.3 and 3.8 g/l in preterm and term milk, respectively), followed by a progressive decrease up to day 30 (4.3 and 0.4 g/l). The more remarkable differences are related to the first phases of lactation in which a strong decrease in GAGs was observed between days 4 and 10 (about -73% in term and -50% in preterm newborns). Conclusions: During the first month of lactation, the absolute amount of polysaccharides was constantly and significantly higher in preterm than in term milk, with a similar behavior in the decrease. These data further indicate that human milk GAGs may have an active role in protecting newborns during the first phases of lactation

    Glycosaminoglycan content in term and preterm milk during the first month of lactation

    No full text
    BACKGROUND: In a recent study, we performed a complete structural characterization of glycosaminoglycans (GAGs) in human mature milk. However, no data are available on the total content of GAGs in human milk from healthy mothers having delivered term or preterm newborns. OBJECTIVES: In this study, we evaluated the total content of GAGs in pooled milk from healthy mothers having delivered term or preterm newborns during the first month of lactation. METHODS: Highly specific and sensitive analytical approaches were used to quantify human milk total GAGs. RESULTS: Highest GAG values are present at day 4 (9.3 and 3.8 g/l in preterm and term milk, respectively), followed by a progressive decrease up to day 30 (4.3 and 0.4 g/l). The more remarkable differences are related to the first phases of lactation in which a strong decrease in GAGs was observed between days 4 and 10 (about -73% in term and -50% in preterm newborns). CONCLUSIONS: During the first month of lactation, the absolute amount of polysaccharides was constantly and significantly higher in preterm than in term milk, with a similar behavior in the decrease. These data further indicate that human milk GAGs may have an active role in protecting newborns during the first phases of lactation

    Bibliographie Hilarion G. Petzold 1958 – 2009 mit Anhang als Einführung

    No full text
    Dieses Archiv enthält die Gesamtbibliographie der Werke des Autors nebst einiger Texte „Über H. G. Petzold“ im Schlussteil der Bibliographie sowie einen Anhang mit einer Einführung in die Architektur des Werkes in seinem wissenslogischen Aufbau als Ausarbeitung seines „Tree of Science Modells“ (2007).This archive contains the complete bibliography of the author and some texts about H. G. Petzold, moreover an epilogue with an introduction to the architecture of the works in its epistemological structure and composition and as an elaborations of Petzold’s „Tree of Science Modell (2007).https://www.fpi-publikation.de/polyloge/01-2009-petzold-h-g-gesamtbibliographie-h-g-petzold-1958-2009-updating-november2009/peerReviewedpublishedVersio

    Dispelling the Myths Behind First-author Citation Counts

    No full text
    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author-springer.pdf

    No full text
    guilguniluhjkjgjkjhnkjgj hujkk gjk hioyhiu ug gg g

    Agarose-gel electrophoresis for the diagnosis of mucopolysaccharidoses

    No full text
    Mucopolysaccharidoses (MPS) are a group of inherited lysosomal storage disorders characterized by a deficiency in one of the lysosomal enzymes required to degrade glycosaminoglycans (GAGs) [1]. In all MPS subtypes, partially degraded GAG(s) accumulate in the lysosomes of affected cells and/or are eliminated in the blood and excreted in the urine. Therapeutic approach towards MPS patients has offered various treatment options represented by enzyme replacement therapy [2], hematopoietic stem cell transplantation [3] and experimental gene therapies [4]. However, for treatment to be successful, patients need to be treated earlier in the course of their disease and early identification of the clinically asymptomatic subjects requires screening by means of specific and sensitive tests. In this study, we present a rapid agarose-gel electrophoresis analysis for the quali-quantitative evaluation of high-molecular mass urinary GAGs with a view to a possible application in the early diagnosis of MPS
    corecore