introduction to sharpening concepts
nanophysics and nanotechnology an introduction to modern concepts in nanoscience
Ngày tải lên :
29/05/2014, 18:17
... rotary motors is definitely tied to the conversion (hydrolysis) of ATP to ADP The efficiency of conversion of chemical energy to mechanical energy appears to be close to unity Footnote 33 to [8] ... mm to nm Clearly, the number of atoms in a device scales as L3 If a transistor on a micron scale contains 1012 atoms, then on a nanometer scale, LÂ/L = 103 it will contain 1000 atoms, likely too ... sample of 106 atoms are likely to be an approximate guide to the properties of a bulk sample To extrapolate the bulk properties from a 100-atom-per-side simulation may not be too far off It is...
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Introduction to XSLT Concepts doc
Ngày tải lên :
27/06/2014, 12:20
... Page Introduction to XSLT Concepts slide 12 Transform It into HTML (convert to HTML and display in a browser) slide 13 Transform It into PDF (convert to PDF and display with ... are going to act as if you never heard of XSLT and start from scratch Page Introduction to XSLT Concepts slide A Quick Poll (Who You Are) C Where in the process C content creators / editors / publishers ... (with data up to this minute) Page 25 Introduction to XSLT Concepts slide 48 What You Want in the Order You Want It Select / Extract / List / Omit C Pull out the metadata to put into the catalog...
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Introduction to XSLT Concepts phần 1 pdf
Ngày tải lên :
12/08/2014, 20:22
... are going to act as if you never heard of XSLT and start from scratch Page Introduction to XSLT Concepts slide A Quick Poll (Who You Are) C Where in the process C content creators / editors / publishers ... (location paths, functions, data types) C XSLT tools C XSL-FO in depth (that’s this afternoon) Page Introduction to XSLT Concepts slide Where We Are Going Today The What and Why of XSLT C What is transformation, ... .49 Appendixes Appendix 1: Representative XSLT Tools .49 Appendix 2: Acronyms Used in This Talk 50 Page iii Introduction to XSLT Concepts slide Administrivia C Start, end, break...
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Introduction to XSLT Concepts phần 2 docx
Ngày tải lên :
12/08/2014, 20:22
... Page Introduction to XSLT Concepts slide 12 Transform It into HTML (convert to HTML and display in a browser) slide 13 Transform It into PDF (convert to PDF and display with ... Charge of Chewables Welcome to the team, Sassy! C XML elements rolled into “form letter” C Something (perhaps employee-id) linked to photo slide 15 Transform It into a Database Load File Key: ... Page 13 Introduction to XSLT Concepts slide 24 Component 3: An XSLT Engine/Processor C You need special software to run XSLT C But you don’t have to buy them C Free open-source,...
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Introduction to XSLT Concepts phần 3 ppsx
Ngày tải lên :
12/08/2014, 20:22
... Aggregation C grab just the data you want from a repository, database, files C rearrange it to suit C serve it forth Page 23 Introduction to XSLT Concepts slide 44 Making HTML From Semantically Richer ... XSLT Easily Changes XML into Different XML C Rename an element or attribute C Change element xxx into element yyy C Make elements into attributes C Make attributes into elements slide 34 XSLT ... (want to process) is tagged! C Hierarchy is explicit C The most important relationships are tree relationships C containment (parent / child) C siblings C attributes Page 18 Introduction to XSLT Concepts...
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Introduction to XSLT Concepts phần 4 pdf
Ngày tải lên :
12/08/2014, 20:22
... Page 27 Introduction to XSLT Concepts slide 52 XSLT is Also Useful During Production Transformations for Editorial QA and Proofing C Make checklists for humans to examine C Make files for automated ... 28 Introduction to XSLT Concepts slide 53 False Color Proof Water is blue (italic), land is yellow (bold), and “features” are purpley (display font in the print) Page 29 Introduction to XSLT Concepts ... XML to XML Transforms C Corporate tagset into C client’s tags C business partner’s tags C Company-specific tags into Industry Standard schema C Publisher tag sets into one repository / aggregator...
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Introduction to XSLT Concepts phần 5 pptx
Ngày tải lên :
12/08/2014, 20:22
... Come see us anytime! Page 38 Introduction to XSLT Concepts slide 73 And That Produced HTML like this: Page 39 Introduction to XSLT Concepts slide 74 Why Pull Can Be a Problem C ... XSLT 1.0 to get the template stuff down then learn XSLT 2.0 Page 42 Introduction to XSLT Concepts slide 80 How to Make XSLT Programmers (out of yourself or your staff) XSLT is C Fast to learn ... Introduction to XSLT Concepts Another Complexity: Push-me Pull-you Stylesheets slide 68 XSLT is C By design and default, driven by the XML input file C That means you tell it what to do,...
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Introduction to XSLT Concepts phần 6 pptx
Ngày tải lên :
12/08/2014, 20:22
... Page 49 Introduction to XSLT Concepts C XMLSpy from Altova: http://www.xmlspy.com/ This XML editing tool includes an XSLT debugging feature See listing under XML editors for details C Xselerator ... creating, validating, and debugging XSL stylesheets and XML -to- XML mappings $395 C XML Cooktop (Windows): http://www.xmlcooktop.com/ A free editor and development environment for XML, DTD, and XSLT ... October 2004 was the latest when this was written in January 2005, Committee members say this is pretty stable.) slide 88 XSLT Technical Reference Book (XSLT programmer ought to have access to...
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Programming Concepts (Part A) ENGR 10 Introduction to Engineering pot
Ngày tải lên :
05/03/2014, 18:20
... Example • To find factorial of a number N What is a factorial? Factorial of a number N is N! = 1x2x3x………………x(N-1)xN • 1! = Factorial (1) = • 5! = Factorial (5) = 1x2x3x4x5 = 120 • 7! = Factorial ... equal to ” statement • A = 10; // means assign 10 to A • A = B; // means assign the value of B to A • A = A+1; //means assign the value A+1 // back to A, i.e., increase A by Assignment Operator: ... Range Int Stores integer values EX: 5, -3200 -32,768 to +32,767 Long Stores integer values with extended range EX: 56, 6000, -4,234,128 Stores values with decimal point EX: 1.245, -4.2341 Stores characters*...
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Chapter 1 Introduction to Routing and Packet ForwardingRouting Protocols and Concepts quangkien@gmail.com.Topicsl Inside the Router Ÿ Routers are computers Ÿ Router CPU and Memory Ÿ Internetwork Operating System Ÿ Router Bootup Process Ÿ Router Ports doc
Ngày tải lên :
09/03/2014, 13:20
... Dynamic Routing Protocols: RIP and OSPF l RIP uses hop count Ÿ R1 to R3 Ÿ Fewer links but much slower l OSPF uses bandwidth Ÿ R1 to R2 to R3 Ÿ More routers but much faster links 31 To reach the 192.168.1.0/24 ... the following steps to connect a terminal to the console port on the router: l Connect the terminal using the RJ-45 to RJ-45 rollover cable and an RJ-45 to DB-9 or RJ-45 to DB-25 adapter l Configure ... the IOS stored? ROM Where is IOS permanently stored before it is copied into RAM? FLASH Where are the bootsystem commands stored which are used to locate the IOS? NVRAM running-config IOS (running)...
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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx
Ngày tải lên :
15/03/2014, 09:20
... Determine how to split the records • How to specify the attribute test condition? • How to determine the best split? – Determine when to stop splitting © Tan,Steinbach, Kumar Introduction to Data Mining ... Determine how to split the records • How to specify the attribute test condition? • How to determine the best split? – Determine when to stop splitting © Tan,Steinbach, Kumar Introduction to Data Mining ... records • How to specify the attribute test condition? • How to determine the best split? – Determine when to stop splitting © Tan,Steinbach, Kumar Introduction to Data Mining 46 Stopping Criteria...
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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf
Ngày tải lên :
15/03/2014, 09:20
... Use efficient data structures to store the candidates or transactions – No need to match every candidate against every transaction © Tan,Steinbach, Kumar Introduction to Data Mining 11 Reducing ... support © Tan,Steinbach, Kumar Introduction to Data Mining 12 Illustrating Apriori Principle Found to be Infrequent Pruned supersets © Tan,Steinbach, Kumar Introduction to Data Mining 13 Illustrating ... Pointer to projected database of its ancestor node – Bitvector containing information about which transactions in the projected database contain the itemset © Tan,Steinbach, Kumar Introduction to...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
Ngày tải lên :
15/03/2014, 09:20
... Kumar Introduction to Data Mining 20 Multi-level Association Rules Food Electronics Bread Computers Milk Wheat Skim White Foremost © Tan,Steinbach, Kumar 2% Desktop Kemps Introduction to Data ... 7, 8, 1, 1, 1, 8, Introduction to Data Mining 26 Examples of Sequence Data Sequence Database Sequence Element (Transaction) Event (Item) Customer Purchase history of a given customer A set of items ... Tan,Steinbach, Kumar Introduction to Data Mining 15 Min-Apriori (Han et al) Document-term matrix: TID W1 W2 W3 W4 W5 D1 2 0 D2 0 2 D3 0 D4 0 1 D5 1 Example: W1 and W2 tends to appear together in the...
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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
... Original Points K-means Clusters One solution is to use many clusters Find parts of clusters, but need to put together © Tan,Steinbach, Kumar Introduction to Data Mining 43 Overcoming K-means Limitations ... hierarchical tree © Tan,Steinbach, Kumar Introduction to Data Mining Partitional Clustering Original Points © Tan,Steinbach, Kumar A Partitional Clustering Introduction to Data Mining Hierarchical Clustering ... is closer (or more similar) to one or more other points in the cluster than to any point not in the cluster contiguous clusters © Tan,Steinbach, Kumar Introduction to Data Mining 13 Types of Clusters:...
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Data Mining Cluster Analysis: Advanced Concepts and Algorithms Lecture Notes for Chapter 9 Introduction to Data Mining pot
Ngày tải lên :
15/03/2014, 09:20
... Rastogi, Shim © Tan,Steinbach, Kumar Introduction to Data Mining Experimental Results: CURE (centroid) (single link) Picture from CURE, Guha, Rastogi, Shim © Tan,Steinbach, Kumar Introduction to ... Kumar Introduction to Data Mining 17 Experimental Results: CHAMELEON © Tan,Steinbach, Kumar Introduction to Data Mining 18 Experimental Results: CHAMELEON © Tan,Steinbach, Kumar Introduction to ... (c) and (d) Introduction to Data Mining 13 Chameleon: Clustering Using Dynamic Modeling Adapt to the characteristics of the data set to find the natural clusters Use a dynamic model to measure...
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AN INTRODUCTION TO KANT’S AESTHETICS: Core Concepts and Problems pdf
Ngày tải lên :
16/03/2014, 14:20
... note about how the power of judgment “attends” to the moments (acht haben may also be to pay attention to, ” to apply itself to, ” to heed,” to serve”), as Kant writes in the footnote We should ... Such help I have tried to provide It is my aim to get to the heart of the matter as quickly as possible – that is, to show and to discuss the problems Kant himself was trying to solve Of course this ... both topics will no doubt prove to be controversial, it certainly serves to advance the discussion Henry E Allison Acknowledgments Several people have contributed to this book and I would like to...
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Chapter 1 An Introduction to Managerial Accounting and Cost Concepts pot
Ngày tải lên :
29/06/2014, 13:20
... balance + Additions Additions to inventory to inventory = Ending Ending balance balance + Withdrawals Withdrawals from from inventory inventory Quick Check If your inventory balance at the beginning ... completed transferred to finished goods transferred to finished goods inventory inventory Work In Process + = – = Beginning work in process inventory Total manufacturing costs Total work in process ... into a finished into a finished product product As items are removed from raw As items are removed from raw materials inventory and placed into materials inventory and placed into the production...
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