2,422 research outputs found

    Cytokine structural taxonomy and mechanisms of receptor engagement

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    Seven discrete families of cytokines have been identified by sequence and structural analysis. Within this diverse set of protein folds, the hematopoietic growth factors and tumor necrosis factor-like cytokines display a remarkable degree of variation upon their respective topological frameworks. In addition, prototype X-ray structures of ligand-receptor complexes reveal two different strategies of receptor engagement

    SNP-Based Mapping of Crossover Recombination in \u3cem\u3eCaenorhabditis elegans\u3c/em\u3e

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    Caenorhabditis elegans is an important experimental organism for the study of recombination during meiosis. Here, we provide methods for the use of single-nucleotide polymorph isms (SNPs) for the study of crossing over in C. elegans

    Taxonomy and software architecture for real-time context-aware collaborative smart environments

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    The widespread of Internet of Things (IoT) and the price reduction and ubiquity of telecommunications has led to the emergence of smart environments where devices are becoming increasingly smarter and everything is connected and from which society aims to benefit. The data obtained from IoT is rapidly processed in various domains for the achievement of smart cities and societies. However, in many cases, applications are not contextualized by using data from outside the domain but are only contextualized using data from the domain itself, missing the opportunity for further contextualization. The lack of common criteria for the integration of data from different application domains is one of the main reasons that significantly hinders the integration of third-party data into real-time processing and decision-making systems and thus, the context awareness of developed applications. Although the use of several taxonomies and ontologies for context awareness in various application domains have been proposed, in many cases they are highly domain specific and/or difficult to integrate with other systems, which makes it challenging to facilitate data sharing between different systems and their processing to achieve enhanced context awareness. We aim to contribute to the addressing of these limitations through a reusable and extensible multi-domain taxonomy targeted to collaborative IoT and smart environments, which is also automatically integrated into a software architecture with real-time complex event processing technologies. The proposed solution has been illustrated through a case study and performance tests have been carried out in different computing capacity scenarios, showing its feasibility and usefulness

    Environmental aspects of innovation and new technology implementation in metallurgy industry

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    European metallurgy industry has to invest in innovations and new technologies in order to remain competitive on the world market. Because very often this action leads to limitation of the negative impact upon the environment,that is why lots of innovations implemented by iron and steel industry bear the features of environmental innovations and eco-innovations in metallurgy industry. The analysis of the environmental innovations and eco-innovations implementation in metallurgy industry, in terms of legal regulations in the environmental protection and the strategy area of sustainable development of enterprises, is the subject matter of this article

    Present and future of surface-enhanced Raman scattering

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    The discovery of the enhancement of Raman scattering by molecules adsorbed on nanostructured metal surfaces is a landmark in the history of spectroscopic and analytical techniques. Significant experimental and theoretical effort has been directed toward understanding the surface-enhanced Raman scattering (SERS) effect and demonstrating its potential in various types of ultrasensitive sensing applications in a wide variety of fields. In the 45 years since its discovery, SERS has blossomed into a rich area of research and technology, but additional efforts are still needed before it can be routinely used analytically and in commercial products. In this Review, prominent authors from around the world joined together to summarize the state of the art in understanding and using SERS and to predict what can be expected in the near future in terms of research, applications, and technological development. This Review is dedicated to SERS pioneer and our coauthor, the late Prof. Richard Van Duyne, whom we lost during the preparation of this article

    Can the plasma PD-1 levels predict the presence and efficiency of tumor-infiltrating lymphocytes in patients with metastatic melanoma?

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    Background: The immune response in melanoma patients is locally affected by presence of tumor-infiltrating lymphocytes (TILs), generally divided into brisk, nonbrisk, and absent. Several studies have shown that a greater presence of TILs, especially brisk, in primary melanoma is associated with a better prognosis and higher survival rate. Patients and Methods: We investigated by enzyme-linked immunosorbent assay (ELISA) the correlation between PD-1 levels in plasma and the presence/absence of TILs in 28 patients with metastatic melanoma. Results: Low plasma PD-1 levels were correlated with brisk TILs in primary melanoma, whereas intermediate values correlated with the nonbrisk TILs, and high PD-1 levels with absent TILs. Although the low number of samples did not allow us to obtain a statistically significant correlation between the plasma PD-1 levels and the patients' overall survival depending on the absence/presence of TILs, the median survival of patients having brisk type TILs was 5 months higher than that of patients with absent and nonbrisk TILs. Conclusions: This work highlights the ability of measuring the plasma PD-1 levels in order to predict the prognosis of patients with untreated metastatic melanoma without a BRAF mutation at the time of diagnosis

    From Design to Production Control Through the Integration of Engineering Data Management and Workflow Management Systems

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    At a time when many companies are under pressure to reduce "times-to-market" the management of product information from the early stages of design through assembly to manufacture and production has become increasingly important. Similarly in the construction of high energy physics devices the collection of (often evolving) engineering data is central to the subsequent physics analysis. Traditionally in industry design engineers have employed Engineering Data Management Systems (also called Product Data Management Systems) to coordinate and control access to documented versions of product designs. However, these systems provide control only at the collaborative design level and are seldom used beyond design. Workflow management systems, on the other hand, are employed in industry to coordinate and support the more complex and repeatable work processes of the production environment. Commercial workflow products cannot support the highly dynamic activities found both in the design stages of product development and in rapidly evolving workflow definitions. The integration of Product Data Management with Workflow Management can provide support for product development from initial CAD/CAM collaborative design through to the support and optimisation of production workflow activities. This paper investigates this integration and proposes a philosophy for the support of product data throughout the full development and production lifecycle and demonstrates its usefulness in the construction of CMS detectors.Comment: 18 pages, 13 figure

    Two-Dimensional Hydrodynamics of Pre-Core Collapse: Oxygen Shell Burning

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    By direct hydrodynamic simulation, using the Piecewise Parabolic Method (PPM) code PROMETHEUS, we study the properties of a convective oxygen burning shell in a SN 1987A progenitor star prior to collapse. The convection is too heterogeneous and dynamic to be well approximated by one-dimensional diffusion-like algorithms which have previously been used for this epoch. Qualitatively new phenomena are seen. The simulations are two-dimensional, with good resolution in radius and angle, and use a large (90-degree) slice centered at the equator. The microphysics and the initial model were carefully treated. Many of the qualitative features of previous multi-dimensional simulations of convection are seen, including large kinetic and acoustic energy fluxes, which are not accounted for by mixing length theory. Small but significant amounts of carbon-12 are mixed non-uniformly into the oxygen burning convection zone, resulting in hot spots of nuclear energy production which are more than an order of magnitude more energetic than the oxygen flame itself. Density perturbations (up to 8%) occur at the `edges' of the convective zone and are the result of gravity waves generated by interaction of penetrating flows into the stable region. Perturbations of temperature and electron fraction at the base of the convective zone are of sufficient magnitude to create angular inhomogeneities in explosive nucleosynthesis products, and need to be included in quantitative estimates of yields. Combined with the plume-like velocity structure arising from convection, the perturbations will contribute to the mixing of nickel-56 throughout supernovae envelopes. Runs of different resolution, and angular extent, were performed to test the robustness of theseComment: For mpeg movies of these simulations, see http://www.astrophysics.arizona.edu/movies.html Submitted to the Astrophysical Journa
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