2,829 research outputs found
Symbolic Computing with Incremental Mindmaps to Manage and Mine Data Streams - Some Applications
In our understanding, a mind-map is an adaptive engine that basically works
incrementally on the fundament of existing transactional streams. Generally,
mind-maps consist of symbolic cells that are connected with each other and that
become either stronger or weaker depending on the transactional stream. Based
on the underlying biologic principle, these symbolic cells and their
connections as well may adaptively survive or die, forming different cell
agglomerates of arbitrary size. In this work, we intend to prove mind-maps'
eligibility following diverse application scenarios, for example being an
underlying management system to represent normal and abnormal traffic behaviour
in computer networks, supporting the detection of the user behaviour within
search engines, or being a hidden communication layer for natural language
interaction.Comment: 4 pages; 4 figure
Nondestructive Mapping of Surface Film Parameters with Dynamic Imaging Microellipsometry
Dynamic Imaging Microellipsometry (DIM) is a rapid, high resolution, full-field imaging ellipsometric technique previously described [1, 2]. Development and characterization has advanced through the construction and testing of the semi-automated, second DIM system. Several improvements in the systemβs design have been implemented, but the basic approach of combining an optical system derived from conventional ellipsometry with video and image processing has been retained. The first DIM system used a Polarizer, Compensator, Specimen, and Analyzer (PCSA) optical system. The current instrument has undergone modification into a Polarizer, Half waveplate, Specimen, Compensator, and Analyzer (PHSCA) configuration. The polarization rotation is now under direct computer control enabling automated operation that greatly facilitates statistical analysis of the instrumentβs response. Finally, high quality metallic and silicon samples have been studied, refining the previous estimates of the systems accuracy, noise and spatial resolution
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extensible Markup Language (XML) for Competitive Advantage
extensible Markup Language (XML) has received much attention in the popular press lately as a new technology designed to facilitate information sharing among business entities. One of the biggest problems that companies are experiencing today with XML is that many executives do not understand what XML is and why it is important, nor do they understand what its potential impact on their information strategy might be. In this paper, we present an overview of XML and a framework for generating IS strategic alternatives, which was introduced in its original form in the 1980s. This framework is adapted to suit the properties of XML and its usage is illustrated with XML cases. Finally, considerations for developing XML applications that are identified by the framework are presented
Relativistic jet feedback in high-redshift galaxies - I. Dynamics
We present the results of 3D relativistic hydrodynamic simulations of interaction of active galactic nucleus jets with a dense turbulent two-phase interstellar medium, which would be typical of high-redshift galaxies. We describe the effect of the jet on the evolution of the density of the turbulent interstellar medium (ISM). The jet-driven energy bubble affects the gas to distances up to several kiloparsecs from the injection region. The shocks resulting from such interactions create a multiphase ISM and radial outflows. One of the striking result of this work is that low-power jets (Pjet β² 1043 ergs-1), although less efficient in accelerating clouds, are trapped in the ISM for a longer time and hence affect the ISM over a larger volume. Jets of higher power drill through with relative ease. Although the relativistic jets launch strong outflows, there is little net mass ejection to very large distances, supporting a galactic fountain scenario for local feedback
ΠΠ΅Ρ Π°Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΡΠΏΡΡΠ°Π½ΠΈΡ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Ρ Π½ΠΈΠΊΠΈ Π½Π° ΡΠΈΠ½ΡΡΠΎΠΈΠ΄Π°Π»ΡΠ½ΡΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ
Π¦Π΅Π»ΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠ°ΡΡΠΎΡ ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»Ρ-ΠΌΠ°Ρ
ΠΎΠ²ΠΈΠΊΠ° ΡΠΈΡΡΠ΅ΠΌΡ ΠΎΡΠΈΠ΅Π½ΡΠ°ΡΠΈΠΈ ΠΌΠ°Π»ΠΎΠ³ΠΎ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°ΠΏΠΏΠ°ΡΠ°ΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ Π΅Π΅ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΏΠΎΠ΄ Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ΠΌ ΠΊΠ²Π°Π·ΠΈΡΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π½Π°Π³ΡΡΠ·ΠΊΠΈ, ΡΠΈΠ½ΡΡΠΎΠΈΠ΄Π°Π»ΡΠ½ΡΡ
ΠΈ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
Π²ΠΈΠ±ΡΠ°ΡΠΈΠΉ, Π°ΠΊΡΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΡΠ΄Π°ΡΠ½ΠΎΠ³ΠΎ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ. ΠΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΈΠ·Π΄Π΅Π»ΠΈΡ ΠΈ ΠΏΡΠΎΠ²Π΅ΡΡΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠΈ Π±Π΅Π· ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΎΠΏΡΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΡΠ°Π·ΡΠ°. ΠΠ½Π°Π»ΠΈΠ· ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ "T-Flex ΠΠ½Π°Π»ΠΈΠ·". ΠΡΡ
ΠΎΠ΄Π½Π°Ρ ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠ½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π±ΡΠ»Π° ΡΠ°Π·Π±ΠΈΡΠ° Π½Π° ΡΡΠΈ ΠΏΠΎΠ΄ΡΠ±ΠΎΡΠΊΠΈ: ΠΊΠΎΡΠΏΡΡΠ½ΡΡ, ΡΠΎΡΠΎΡΠ½ΡΡ ΠΈ ΡΡΠ°ΡΠΎΡΠ½ΡΡ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°ΡΡΠΎΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΡΠ°ΡΡΠ΅ΡΠ° ΠΏΡΠΈ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠΈ Π½Π° Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»Ρ-ΠΌΠ°Ρ
ΠΎΠ²ΠΈΠΊ ΠΊΠ²Π°Π·ΠΈΡΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°Π³ΡΡΠ·ΠΎΠΊ. ΠΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎ-ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΌΠΎΠΆΠ½ΠΎ ΡΠΊΠ°Π·Π°ΡΡ, ΡΡΠΎ ΡΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»Ρ-ΠΌΠ°Ρ
ΠΎΠ²ΠΈΠΊ Ρ Π±ΠΎΠ»ΡΡΠΈΠΌ Π·Π°ΠΏΠ°ΡΠΎΠΌ ΡΠ΄ΠΎΠ²Π»Π΅ΡΠ²ΠΎΡΡΠ΅Ρ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡΠΌ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ. ΠΠΎΠ»ΡΡΠΈΠ΅ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΡ Π·Π°ΠΏΠ°ΡΠΎΠ² Π³ΠΎΠ²ΠΎΡΡΡ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΡ Π² Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅ΠΌ ΠΌΠΎΠΆΠ½ΠΎ ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ
Fuller\u27s First Fifty - No. 03
A monthly historical newsletter published for the Fuller community during the fiftieth anniversary year.
The School of World Mission: a new school for a new movement -- Donald A. McGavran: beginning again at 67 -- George Eldon Ladd: an appreciatio
Additive manufacturing of stainless steel via fused deposition
Conventionally, processes for additive manufacturing of metals use laser or electron beams and open powder. This makes them expensive and potentially hazardous to health. In contrast to that, fused deposition of metals (FDMet) represents a low cost and safe alternative for fabrication of near net-shape metal structures. Figure 1 illustrates the FDMet process used in this study. 316L stainless steel powder is mixed with a thermoplastic binder into a homogeneous feedstock. The feedstock was extruded into a filament, which is used for 3D printing in off-the-shelf, low cost, fused deposition modeling 3D printers. More than 60 wt% of the thermoplastic binder is removed in a solvent debinding step, leaving behind a porous structure consisting of metal powder and the insoluble backbone polymer. In a thermal step, the backbone is removed by pyrolysis.
Please click Additional Files below to see the full abstract
Mining co-regulated gene profiles for the detection of functional associations in gene expression data
Motivation: Association pattern discovery (APD) methods have been successfully applied to gene expression data. They find groups of co-regulated genes in which the genes are either up- or down-regulated throughout the identified conditions. These methods, however, fail to identify similarly expressed genes whose expressions change between up- and down-regulation from one condition to another. In order to discover these hidden patterns, we propose the concept of mining co-regulated gene profiles. Co-regulated gene profiles contain two gene sets such that genes within the same set behave identically (up or down) while genes from different sets display contrary behavior. To reduce and group the large number of similar resulting patterns, we propose a new similarity measure that can be applied together with hierarchical clustering methods. Results: We tested our proposed method on two well-known yeast microarray data sets. Our implementation mined the data effectively and discovered patterns of co-regulated genes that are hidden to traditional APD methods. The high content of biologically relevant information in these patterns is demonstrated by the significant enrichment of co-regulated genes with similar functions. Our experimental results show that the Mining Attribute Profile (MAP) method is an efficient tool for the analysis of gene expression data and competitive with bi-clustering techniques. Contact: [email protected] Supplementary information: Supplementary data and an executable demo program of the MAP implementation are freely available at http://www.fgcz.ch/publications/ma
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