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Using the Data Sources window to generate bound controls is one easy way to set up your form and have the designer write the data-binding code for you However, your development team may have user interface designers who lay out your forms and don't know a thing about data binding, and other programmers who will do the coding to hook up the functionality for the forms Or you may just prefer to do the UI design step first, getting all your controls laid out, named, and so on, and then worry about connecting them to the data later Perhaps the data access and business layers from which your data is going to come are being developed in parallel, and the type definitions are not yet available to generate your controls from them Whatever the case, the Data Sources window also supports generating the data-binding code for controls that already exist on a form The process for using this capability is very simple If you have an existing control on the form, such as a text box or grid, you can drag an item from the Data Sources window onto that control If the item you are dragging is of a compatible type with the binding properties of the control, the designer generates the data-binding code to bind that control's default binding property to the data item This process works pretty much the same when the designer creates the control too, but it uses the existing control instead of generating the control instance on the form too So the designer still generates all the supporting components to support that data-binding scenario, including a binding source, binding navigator, as well as a data set and table adapter if the data item being dragged is a data table When you drag an item from the Data Sources window onto a control on the form, the mouse cursor changes to indicate what the resulting drop operation will do When you drag a Data Sources window item onto a blank area of the form, as discussed in the beginning of this chapter, the mouse cursor shows a little plus sign to indicate that controls will be added to the form When you drag a data item onto an existing control on the form, and that data item is compatible with the control for the purposes of data binding, the mouse cursor will display a small shortcut arrow, indicating that the drop will result in linking the data source item to the control Finally, if the data item being dragged is not compatible with the control the mouse is over, the mouse cursor will change to a circle with a slash to indicate that drop isn't allowed and will result in no action Compatibility is again driven by the type of the data item or member combined with what the default data-binding properties of the control are For example, if you drag a data member that is a string, numeric field or property from a data source object onto a TextBox control that is already on the form, the designer will generate a binding source with the DataSource property set to the data source object, as well as a binding navigator tied to the binding source The designer will also generate the code to create a binding object tying the TextBoxText property to the data member using the binding source as the data source and will add that binding object to the textbox's DataBindings collection If the data member's parent object is a data table, a data set and table adapter will also be added to the form, along with the line of code in the form's Load event handler to fill the data set using the table adapter If you try to drag that same field onto a DataGridView control, you'll see a circle with a slash mouse cursor, indicating that a single-valued data member isn't compatible for data binding with a control intended for displaying collections of data However, if you drag the parent data table onto the grid, all the same supporting components described earlier in this section would be generated, and the grid's DataSource property would be set to the binding source that was generated and bound to the table.

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95 Calta, P, Vel ek, J, Dole al, M, Hasnip, S, Crews, C, R blov , Z (2004) Formation of 3-chloropropane-1,2-diol in systems simulating processed foods European Food Research and Technology, 218, 501 506 96 Hamlet, CG (2004) Monochloropropanediols in bread: model dough systems and kinetic modelling PhD Thesis, University of Nottingham 97 Hamlet, CG, Sadd, PA, Gray, DA (2004) Generation of monochloropropanediols (MCPDs) in model dough systems 1 Leavened doughs Journal of Agricultural and Food Chemistry, 52, 2059 2066 98 Hamlet, CG, Sadd, PA (2005) Effects of yeast stress and pH on 3-MCPD producing reactions in model dough systems Food Additives and Contaminants, 22 (7), 616 623 99 Breitling-Utzmann, CM, Hrenn, H, Haase, NU, Unbehend, GM (2005) In uence of dough ingredients on 3-chloropropane-1,2-diol (3-MCPD) formation in toast.

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GIF Decompression An LZW decompressor reads one code at a time from the compressed stream while maintaining the dictionary in the same way the compressor does Each code simply gets translated from the dictionary The only subtlety in decompression is that it is possible for the compressed stream to contain codes that have not been defined in the dictionary Figure 126 contains a compression example that illustrates how this situation can occur Notice that the code 259 is output at the same time the code is defined A decoder processing this sequence would read 259 before code 259 is defined This situation can only occur when the new dictionary string consists of the string for the last code processed with the last character of the last code defined added In Figure 126, the last code output before 259 is 256, whose value is 'AB' The last character of the previous code (258) is 'A', so the dictionary string for 259 is 'AB 39; + 'A' = 'ABA' Algorithm 123 illustrates the LZW expansion process. wwwvsoftsnet oldroad. GTIN - 13 Maker In .NET Framework Using Barcode printer for .Related: Generate UPC-A .NET WinForms , QR Code Generator .NET , Generate UPC-A Excel

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Food Additives and Contaminants, 22, 97 103 100 Hamlet, CG, Sadd, PA, Gray, DA (2004) Generation of monochloropropanediols in model dough systems 2 Unleavened doughs Journal of Agricultural and Food Chemistry, 52, 2067 2072 101 Hamlet, CG, Jayaratne, SM, Morrison, CM (2005) Processing contaminants in bread from bread making machines: a continuing project under C03020 A report Encoding ANSI/AIM Code 128 In NET Using Barcode printer for ASPNET Related: UPC-A Generator C# , Excel ITF-14 Generation , Java ITF-14 Generation.

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focused on improving enterprise data is of equally high importance and aligned with enterprise performance optimization Generally, smart data is the product of engineering such that it presents itself to the right users at the right place and time n support of planning, problem solving, decision making, sense making, and predicting At one time, Fannie Mae embraced these truths and was successful In the near term, Fannie Mae ignored these core concepts of smart data as well as the methodology and algorithms that support the intended uses of smart data As a result, Fannie Mae has strayed from the smart data path and has become a liability as a government bailout Fannie Mae forgot that smart data is interoperable and supports quali ed users with diverse needs in an ubiquitous environment It refused to follow a paradigm that produced advanced data engineering technologies, including modeling and metadata management, and smart application of open standards that account for credentialing and privileging as a dimension of security In a nutshell, this is why Fannie Mae nds itself in nancial woes today The following case was conducted in 1999 and shows Fannie Mae adopting many smart data concepts Compare this environment with the one that Fannie Mae nds itself oundering in, a decade later, by ignoring the smart data paradigm Much like Where s Waldo, can you point out the numerous smart data concepts that Fannie Mae ignored in the following case, Managing Radical Transformation at Fannie Mae: A Holistic Paradigm [22] In this case, from 1999, we noted that change management is a critical issue in the current fast-paced business environment Organizations are being bombarded with global business change, innovations in communications, and rapidly evolving information systems capabilities Since there exists a paucity of rigorous and relevant literature on change management, we chose to embark on an in-depth case study to explore how one organization manages radical change We developed a set of theoretical propositions to guide the effort and act as a theoretical lens Our speci c research question is: How does an organization successfully manage projects that call for dramatic change to the way one normally conducts business The case study allowed us to test the propositions in the business arena with one organization It is hoped that this approach will offer insights and mechanisms to help other organizations effectively deal with change When we embarked on this study, we wanted to explore how organizations successfully manage dramatic change We began by consulting the literature on transformation, BPR, and sociotechnical management The literature helped us articulate ve propositions relating to successful change management We conducted an in-depth case study of one organization (Fannie Mae) involved in radical transformation to see how it coped We found that each of the ve propositions paralleled the case study in some way The case study provided a rich set of data that allowed us to delve deeper than the literature We were able to show that these propositions are in fact applied in at least one case We were also able to show that holistic management can increase information sharing and knowledge creation Fannie Mae approaches training and development in a holistic manner Top management is active and committed.

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