LEADER 05104nam 2200649 a 450 001 9910790383003321 005 20200520144314.0 010 $a1-280-67665-5 010 $a9786613653581 010 $a1-84968-069-8 035 $a(CKB)2670000000204373 035 $a(EBL)948490 035 $a(OCoLC)797917389 035 $a(SSID)ssj0000677680 035 $a(PQKBManifestationID)12246852 035 $a(PQKBTitleCode)TC0000677680 035 $a(PQKBWorkID)10696386 035 $a(PQKB)10367147 035 $a(Au-PeEL)EBL948490 035 $a(CaPaEBR)ebr10567590 035 $a(CaONFJC)MIL365358 035 $a(CaSebORM)9781849680684 035 $a(MiAaPQ)EBC948490 035 $a(PPN)228018560 035 $a(EXLCZ)992670000000204373 100 $a20120612d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGetting started with Oracle Data Integrator 11g$b[electronic resource] $ea hands-on tutorial : combine high volume data movement, complex transformations and real-time data integration with the robust capabilities of ODI in this practical guide /$fPeter C. Boyd-Bowman ... [et al.] ; [foreword by Alok Pareek] 205 $a1st edition 210 $aOlton, Birmingham [England] $cPackt Pub.$d2012 215 $a1 online resource (384 p.) 225 0 $aProfessional expertise distilled 300 $aIncludes index. 311 $a1-84968-068-X 327 $aCover; Copyright; Credits; Foreword; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Product Overview; ODI product architecture; ODI repository; Repository overview; Repository location; Master repository; Work repository; Execution repository; Lifecycle management and repositories; Studio; Agent; Console; Oracle Enterprise Manager; ODI key concepts; Execution Contexts; Knowledge Modules; Models; Interfaces; Interface descriptions; Interface mappings; Interface flow tab; Interface controls; Packages and Scenarios; Summary 327 $aChapter 2: Product InstallationPrerequisites; Prerequisites for the repository; Prerequisites for the Oracle Universal Installer; Prerequisites for the Studio; Prerequisites for the Standalone Agent; Installing ODI 11g; Two installation modes; Creating the repository with RCU; Installing the ODI Studio and the ODI Agent; Starting the ODI Studio for the first time; Post installation-parameter files review; Summary; Chapter 3: Using Variables; Defining variables; Variable location and scope; Variable definitions; Refreshing variables; Variable history; Using variables for dynamic information 327 $aAssigning a value to a variableSetting a hardcoded value; Refresh Variable; Passed as a parameter (Declare Variable); Referencing variables; Variables in interfaces; Variables in models; Variables in topology; Using variables to alter workflows; Packages; Load Plans; Summary; Chapter 4: ODI Sources, Targets, and Knowledge Modules; Defining Physical Schemas, Logical Schemas, and Contexts; Defining physical data servers; Defining Physical Schemas; Data schemas and work schemas; Defining Logical Schemas and Contexts; Non-database technologies; Reverse-engineering metadata into ODI models 327 $aStandard reverse-engineeringCustom reverse-engineering; File reverse-engineering; XML reverse-engineering; Examining the anatomy of the interface flow; Example 1: Database and file to database; Example 2: File and database to second file; Example 3: File to Enterprise Application; Importing and choosing Knowledge Modules; Choosing Knowledge Modules; Importing a Knowledge Module; KMs-A quick look under the hood; Configuring behavior with KM options; Examining ODI Interfaces; Overview tab; Mapping tab; Flow tab; Quick-Edit tab; Summary; Chapter 5: Working with Databases 327 $aSample scenario descriptionIntegration target; Integration source; Integration mappings; Data flow logistics; Exercise 1: Building the Load_Customer interface; Building the topology; Reverse-engineering the model metadata; Moving the data using an ODI interface; Checking the execution with the Operator Navigator; Summary; Chapter 6: Working with MySQL; What you can and can't do with MySQL; Working with MySQL; Obtaining and installing the software; Overview of the task; Integrating the product data; Product data target, sources, and mappings; Product interface flow logistics 327 $aIntegrating inventory data 330 $aCombine high volume data movement, complex transformations and real-time data integration with the robust capabilities of ODI in this practical guide 606 $aData integration (Computer science)$vHandbooks, manuals, etc 615 0$aData integration (Computer science) 676 $a005.7 676 $a005.7575 700 $aBoyd-Bowman$b Peter C$01544139 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910790383003321 996 $aGetting started with Oracle Data Integrator 11g$93798091 997 $aUNINA LEADER 03993nam 2200421z- 450 001 9910166647703321 005 20210211 035 $a(CKB)3710000001092122 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53188 035 $a(oapen)doab53188 035 $a(EXLCZ)993710000001092122 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMental Practice - Clinical and Experimental Research in Imagery and Action Observation 210 $cFrontiers Media SA$d2016 215 $a1 online resource (208 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-839-1 330 $aThere is now strong evidence demonstrating that the brain simulates action and other functions. Such action simulation can be evoked through conscious mental rehearsal of movement or imagery, but also through passive action observation watching movements in others. Furthermore, there is evidence to suggest that mental rehearsal of movement, or mental practice, can produce improvements normally attributed to practising actual movements. It is currently assumed that such improvements are due to neural activation associated with action simulation. However the neuroscience of mental practice efficacy is still poorly understood. The aim of this research topic is to clarify the underlying mechanisms of mental practice, bringing evidence from cognitive neuroscience, experimental neuropsychology, sport and movement science, and clinical neurology. It also attempts to address confusion regarding the concepts of imagery and observation, which has hampered the progression of mental practice research both scientifically and applied. As well as reviews, theoretical, and position articles, this research topic includes original neuroimaging, experimental, and patient research addressing, among others, the following issues. Neuroimaging studies provide strong evidence for action simulation, but the link to behavioural change and functional outcome is weak. What is the evidence that mental practice efficacy is driven by neuroplasticity processes evoked by action simulation? This research topic includes contributions on neural correlates and behaviour with regards to imagery and action observation. Much of the mental practice efficacy evidence comes from longstanding research within sport science. However, what does mental practice entail in these contexts, and to what extent is it compatible with the cognitive neuroscience perspective of action simulation? This research topic will include contributions that consider both evidence and concepts with regards to imagery and action observation, in an attempt to build an interdisciplinary consensus on the nature and application of mental practice. Mental practice is perceived as a promising motor rehabilitation technique, but critically there is lack of clarity or consensus on what mental practice treatment should entail. It is also not clear what are the most appropriate outcomes to measure imagery ability and cognitive or behavioural change following mental practice. A further important issue that needs consideration as part of this research topic is dosage, as it is currently unclear how much mental practice is appropriate and whether this depends on patient variables such as age, cognitive functioning, motor function, or pathophysiology. 606 $aNeurosciences$2bicssc 610 $aaction observation 610 $aaction simulation 610 $aCognitive neuroscience 610 $aimagery 610 $aMental Practice 615 7$aNeurosciences 700 $aIetswaart$b Magdalena$4auth$01279870 702 $aEdwards$b Martin Gareth$4auth 702 $aJackson$b Philip L$4auth 702 $aButler$b Andrew J$4auth 906 $aBOOK 912 $a9910166647703321 996 $aMental practice$93016094 997 $aUNINA