36 research outputs found

    Query Driven Conceptual Browsing : A Semi-Automated Approach for Building and Exploring Concepts on the Web

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    The presence of communities, which are groups of highly cross referenced pages together representing a single concept, is a striking feature of the World Wide Web. Quite often a group of communities, each topically coherent within itself, may be related through a common concept manifested in each of them. Motivated by this observation, we present a method for query-driven conceptual browsing for exploring concepts on the Web starting from a userspecified query. We show how this idea is related to prior work on learning concept maps and on Web Mining, and discuss the application of conceptual browsing for user-driven exploration and discovery of new concepts on the Web

    Polarization-Induced Hysteresis in CuCo-Doped Rare Earth Vanadates SOFC Anodes

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    The physical and electrochemical properties of strontium substituted cerium vandates in which a portion of the cerium cations have been substituted with transition metals (Ce0.8Sr0.1Cu0.05TM0.05VO4−0.5x, TM = Ni or Co) were investigated and their suitability for use in solid oxide fuel cell (SOFC) anodes was assessed. Upon reduction at elevated temperature, Cu and Co or Cu and Ni were exsolved from the electronically conductive Ce1−xSrxVO4 lattice to produce Cu-Ni and Cu-Co catalytic nanoparticles. The Ce0.8Sr0.1Cu0.05Co0.05VO3 appears to have high activity and relatively high hydrocarbon tolerance, suggesting that intimate contact between the exsolved Cu and Co and that the majority of the Co nanoparticles must be at least partially coated with the Cu. The electrochemical performance when used in anodes operating on hydrogen has been characterized, and the results demonstrate the exsolution of both metals from the host lattice; but observed dynamic changes in the structure of the resulting metal nanoparticles as a function of SOFC operating conditions complicate their use in SOFC anodes

    Collagen fibers mediate MRI-detected water diffusion and anisotropy in breast cancers

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    AbstractCollagen 1 (Col1) fibers play an important role in tumor interstitial macromolecular transport and cancer cell dissemination. Our goal was to understand the influence of Col1 fibers on water diffusion, and to examine the potential of using noninvasive diffusion tensor imaging (DTI) to indirectly detect Col1 fibers in breast lesions. We previously observed, in human MDA-MB-231 breast cancer xenografts engineered to fluoresce under hypoxia, relatively low amounts of Col1 fibers in fluorescent hypoxic regions. These xenograft tumors together with human breast cancer samples were used here to investigate the relationship between Col1 fibers, water diffusion and anisotropy, and hypoxia. Hypoxic low Col1 fiber containing regions showed decreased apparent diffusion coefficient (ADC) and fractional anisotropy (FA) compared to normoxic high Col1 fiber containing regions. Necrotic high Col1 fiber containing regions showed increased ADC with decreased FA values compared to normoxic viable high Col1 fiber regions that had increased ADC with increased FA values. A good agreement of ADC and FA patterns was observed between in vivo and ex vivo images. In human breast cancer specimens, ADC and FA decreased in low Col1 containing regions. Our data suggest that a decrease in ADC and FA values observed within a lesion could predict hypoxia, and a pattern of high ADC with low FA values could predict necrosis. Collectively the data identify the role of Col1 fibers in directed water movement and support expanding the evaluation of DTI parameters as surrogates for Col1 fiber patterns associated with specific tumor microenvironments as companion diagnostics and for staging

    Expression of DDX3 Is Directly Modulated by Hypoxia Inducible Factor-1 Alpha in Breast Epithelial Cells

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    DEAD box protein, DDX3, is aberrantly expressed in breast cancer cells ranging from weakly invasive to aggressive phenotypes and functions as an important regulator of cancer cell growth and survival. Here, we demonstrate that hypoxia inducible factor-1α is a transcriptional activator of DDX3 in breast cancer cells. Within the promoter region of the human DDX3 gene, we identified three putative hypoxia inducible factor-1 responsive elements. By luciferase reporter assays in combination with mutated hypoxia inducible factor-1 responsive elements, we determined that the hypoxia inducible factor-1 responsive element at position -153 relative to the translation start site is essential for transcriptional activation of DDX3 under hypoxic conditions. We also demonstrated that hypoxia inducible factor-1 binds to the DDX3 promoter and that the binding is specific, as revealed by siRNA against hypoxia inducible factor-1 and chromatin immunoprecipitation assays. Thus, the activation of DDX3 expression during hypoxia is due to the direct binding of hypoxia inducible factor-1 to hypoxia responsive elements in the DDX3 promoter. In addition, we observed a significant overlap in the protein expression pattern of hypoxia inducible factor-1α and DDX3 in MDA-MB-231 xenograft tumors. Taken together, our results demonstrate, for the first time, the role of DDX3 as a hypoxia-inducible gene that exhibits enhanced expression through the interaction of hypoxia inducible factor-1 with hypoxia inducible factor-1 responsive elements in its promoter region

    Industrial Challenge 2022: A High-Performance Real-Time Case Study on Arm

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    High-performance real-time systems are becoming increasingly common in several application domains, including automotive, robotics, and embedded. To meet the growing performance requirements of the emerging applications, these systems often adopt a heterogeneous System-on-Chip hardware architecture comprising multiple high-performance CPUs and one or more domain-specific accelerators. At the same time, the applications running on these systems are subject to stringent real-time and safety requirements. Due to the non-deterministic execution model of the compute elements involved and the co-location of the workloads, which leads to contention of the shared hardware resources, designing and orchestrating such applications is particularly challenging. In fact, the demand for novel methodologies, tools, and best practices to assist application designers working on high-performance real-time systems has never been stronger. To stimulate innovation in this area, this document outlines an industrial case study from the automotive domain targeting an Arm-based hardware platform. The selected application is an augmented reality head-up display, which can be considered a representative example of a high-performance real-time use case. This case study will serve as the basis for a (multi-year) challenge involving real-time and embedded systems researchers across academia and industry that will be kicked off at the 34superscript{th} Euromicro Conference on Real-Time Systems (ECRTS) 2022

    Characterization of a coherent hardware accelerator framework for SoCs

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    Accelerators rich architectures have become the standard in today’s SoCs. After Moore’s law diminish, it is common to only dedicate a fraction of the area of the SoC to traditional cores and leave the rest of space for specialized hardware. This motivates the need for better interconnects and interfaces between accelerators and the SoC both in hardware and software. Recent proposals from industry have put the focus on coherent interconnects for big external accelerators. However, there are still many cases where accelerators benefit from being directly connected to the memory hierarchy of the CPU inside the same chip. In this work, we demonstrate the usability of these interfaces with a characterization of a framework that connects accelerators that benefit from having coherent access to the memory hierarchy. We have evaluated some kernels from the Machsuite benchmark suite in a FPGA environment obtaining performance and area numbers. We obtain speedups from up to only requiring 45k LUTs for the accelerator framework. We conclude that many accelerators can benefit from having this access to the memory hierarchy and more work is needed for a generic framework.This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (PID2019-107255GB-C21, and TED2021-132634A-I00), by the Generalitat de Catalunya (2021-SGR-00763), and by Arm through the Arm-BSC Center of Excellence. G. López-Paradís has been supported by the Generalitat de Catalunya through a FI fellowship 2021FI-B00994, M. Moretó by a Ramon y Cajal fellowship no. RYC-2016-21104, and A. Armejach is a Serra Hunter Fellow.Peer ReviewedPostprint (author's final draft

    Mast cell stabilizing and anti-anaphylactic activity of aqueous extract of green tea (Camellia sinensis)

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    Green tea (Camellia sinensis) is one of the most popular and widely consumed beverages in the world. In the current study, aqueous extract of green tea (C. sinensis) was evaluated for mast cell stabilizing and anti-anaphylactic activities. Green tea extract (11, 13, 15 mg/ml) significantly (P < 0.05) inhibited compound 48/80-induced rat mesentric mast cell degranulation in a dose dependent manner. Anti-anaphylactic activity of green tea extract was performed in female mice. At a dose of 400, 500, 600 mg/kg BW, green tea extract showed significant reduction in the mortality of mice subjected to anaphylactic shock by compound C48/80. Ketotifen was used for comparison. In addition, IR and UV–Visible spectroscopy analysis of green tea extract revealed the presence of functional groups of bioactive compounds. These results suggest that green tea could be useful in the treatment of asthma and allergic rhinitis
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