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Different Platforms (different + platform)

Distribution by Scientific Domains

Information Science and Computing	40%

Selected Abstracts

Towards virtualized desktop environment

CONCURRENCY AND COMPUTATION: PRACTICE & EXPERIENCE, Issue 4 2010
Xiaofei Liao
Abstract Virtualization is being widely used now as an emerging trend. Rapid improvements in network bandwidth, ubiquitous security hazards and high total cost of ownership of personal computers have created a growing market for desktop virtualization. Much like server virtualization, virtualizing desktops involves separating the physical location of a client device from its logical interface. But, the performance and usability of some traditional desktop frameworks do not satisfy end-users. Other solutions, including WebOS, which needs to rebuild all daily-used applications into Client/Server mode, cannot be easily accepted by people in a short time. We present LVD, a system that combines the virtualization technology and inexpensive personal computers (PCs) to realize a lightweight virtual desktop system. Comparing to the previous desktop systems, LVD builds an integrated novel desktop environment, which can support the backup, mobility, suspending and resuming of per-user's working environment, and support synchronous using of incompatible applications on different platforms and achieves great saving in power consumption. We have implemented LVD in a cluster with Xen and compared its performance against widely used commercial approaches, including Microsoft RDP, Citrix MetaFrameXP and Sun Ray. Experimental results demonstrate that LVD is effective in performing the functions while imposing little overhead. Copyright © 2009 John Wiley & Sons, Ltd. [source]

An MDA-based approach for database re-engineering

JOURNAL OF SOFTWARE MAINTENANCE AND EVOLUTION: RESEARCH AND PRACTICE, Issue 6 2007
Macario Polo
Abstract This article presents the technical and functional descriptions of a tool specifically designed for database re-engineering. As is well known, re-engineering is the process of (1) applying reverse engineering to a software product to obtain higher-level specifications and (2) using these specifications as the starting point for the development of a new version of the system. Thus, the complete process can be seen as a sequence of transformation functions that operate on the different sets involved in the whole process. The starting point of the re-engineering process is the physical schema of the database which is translated into a vendor-independent metamodel (the logical schema) and then translated into a class diagram representing a possible conceptual schema of the database. This diagram is then taken as the starting point for the code generation process, which produces an executable application for four possible different platforms. Copyright © 2007 John Wiley & Sons, Ltd. [source]

Inflammatory protein profile during systemic high dose interleukin-2 administration

PROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 2 2006
Leonardo Rossi
Abstract Systemic interleukin-2 (IL-2) administration induces an assortment of downstream effects whose biological and therapeutic significance remains unexplored mostly because of the methodological inability to globally address their complexity. Protein array analysis of sera from patients with renal cell carcinoma obtained prior and during high-dose IL-2 therapy had previously revealed extensive alterations in expression of the soluble factors analyzed, whose discovery was limited by the number of capture antibodies selected for protein detection. Here, we expanded the analysis to SELDI-TOF-MS and quantitative protein analysis (nephelometry). All cytokines/chemokines detected by protein arrays were below the SELDI detection limit, while novel IL-2-specific changes in expression of acute-phase reactants and high-density lipoprotein metabolites could be identified. Serum amyloid protein,A (SAA) and C-reactive protein expression were consistently up-regulated after four doses of IL-2, while other proteins were down-regulated. These findings were confirmed by SELDI immunoaffinity capture and nephelometry. Immunoaffinity capture revealed different, otherwise undetectable, isoforms of SAA. A linear correlation between peak area by SELDI and protein concentration by nephelometry was observed. Overall distinct yet complementary information was obtained using different platforms, which may better illustrate complex phenomena such as the systemic response to biological response modifiers. [source]

Platforms and Real Options in Industrial Organization

THE JAPANESE ECONOMIC REVIEW, Issue 3 2000
Ken-Ichi Imai
We need a robust theory to analyse the dynamics of new industrial organizations that are being created by the explosion of information technology. This paper sets out a new theoretical perspective and suggests a new empirical framework towards formulating such a theory. The new conceptual tools of analysis presented here include the "platform" as a key element of new market structures, "real options" analysis to deal with genuine uncertainty, and an understanding of a new form of competition that takes place among different platforms. JEL Classification Numbers: L10, L12, L15, D81. [source]

Integration of Ranked Lists via Cross Entropy Monte Carlo with Applications to mRNA and microRNA Studies

BIOMETRICS, Issue 1 2009
Shili Lin
Summary One of the major challenges facing researchers studying complex biological systems is integration of data from -omics platforms. Omic-scale data include DNA variations, transcriptom profiles, and RAomics. Selection of an appropriate approach for a data-integration task is problem dependent, primarily dictated by the information contained in the data. In situations where modeling of multiple raw datasets jointly might be extremely challenging due to their vast differences, rankings from each dataset would provide a commonality based on which results could be integrated. Aggregation of microRNA targets predicted from different computational algorithms is such a problem. Integration of results from multiple mRNA studies based on different platforms is another example that will be discussed. Formulating the problem of integrating ranked lists as minimizing an objective criterion, we explore the usage of a cross entropy Monte Carlo method for solving such a combinatorial problem. Instead of placing a discrete uniform distribution on all the potential solutions, an iterative importance sampling technique is utilized "to slowly tighten the net" to place most distributional mass on the optimal solution and its neighbors. Extensive simulation studies were performed to assess the performance of the method. With satisfactory simulation results, the method was applied to the microRNA and mRNA problems to illustrate its utility. [source]