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The Java-based XML system is built on a multitier architecture that is compatible with a variety of existing platforms This example shows how XML will be applied to current and proprietary data systems to squeeze new knowledge from old information The system allows Wells Fargo to understand customer trends and to take advantage of these trends by targeting the appropriate customers with new products, services, and loans For example, if a young couple bought a mortgage about 15 20 years ago, they might now be interested in a college loan This analysis benefits both parties First, the couple will not need to go through the trouble, anxiety, and cost needed to locate the best terms and the paperwork hassle of establishing credit for the loan.

Second, because Wells Fargo has much of the information already on file, it has a detailed history of mortgage payments, and it has a motivated client with excellent credit and collateral None of these are guesses based on a simple loan application These clear trends are known by using XML to pull this information from the legacy databases A little information may need to be updated, but nothing like the background data that must be collected for a new loan approval XML enables the potential for a good deal for both parties: a win win situation in a painless, timely manner Another way that Wells Fargo has planned ahead is to design in special attributes for security and privacy that allow for expansion and modification for new regulations and privacy laws These attributes are simply carried along in the XML documents and add minimal value and require little overhead.

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But when the regulations change, as they do on a continual basis, a couple of keystrokes, or a search and replace, and all the data will be in conformance With legacy systems, that kind of modification might take an entire rebuild of the database with significant costs as the system is checked and double-checked Because the infrastructure is already in place, waiting for the changes, implementation and testing should be straightforward With the special attributes in place, Wells Fargo can also exchange data with other companies while solving two problems with one application First, XML documents can easily be modified to be compatible with the data formats needed by the receiving company In addition, XSLT can be used to transform imported data into formats that are compatible with the Wells Fargo systems.

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And second, the existing privacy attributes allow Wells Fargo to transfer data without sending carefully regulated personal information or closely guarded proprietary data A little forethought goes along way..

An extension to 802.11 that applies to wireless LANs and provides up to 54 Mbps in the 5 GHz band. (also called Wi-Fi) An extension to 802.11 that applies to wireless LANs and provides 11 Mbps transmission (with a fallback to 5.5, 2 and 1 Mbps) in the 2.4 GHz band. 802.11b is a 1999 ratification to the original 802.11 standard, allowing wireless functionality comparable to Ethernet.

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Mobile-originated calls Calls that are placed from a mobile station. Mobile-terminated calls Calls that are made to a mobile station.

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private bool AuthenticateUser(string username, string pswd) { // Performs authentication here string connString = "..."; string cmdText = "SELECT COUNT(*) FROM employees " + "WHERE firstname=@user AND lastname=@pswd"; int found = 0; using(SqlConnection conn = new SqlConnection(connString)) { SqlCommand cmd = new SqlCommand(cmdText, conn); cmd.Parameters.Add("@user", SqlDbType.NVarChar, 10).Value = username; cmd.Parameters.Add("@pswd", SqlDbType.NVarChar, 20).Value = pswd; conn.Open(); found = (int)cmd.ExecuteScalar(); conn.Close(); } return (found > 0); }

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This is the main .NET Framework assembly. asm = [Assembly].Load( mscorlib ) Console.WriteLine(asm.FullName) => mscorlib, Version=1.0.5000.0, Culture=neutral, PublicKeyToken=b77a5c561934e089

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Figure 12-20.

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refinery gas, 203 204 refining. See also processing; upgrading biomass bioconversion, 252 254 greenhouse gas production, 257 other aspects, 257 259 overview, 251 252 thermal conversion, 254 257 demand for hydrogen, 203 206 oil shale, 186 192 petroleum alkylation processes, 83 84 catalytic processes, 74 77 deasphalting, 85 86 dewatering and desalting, 67 68 dewaxing, 86 87 distillation, 68 70 hydroprocesses, 77 80 isomerization processes, 82 83 polymerization processes, 84 85 reforming processes, 80 82 versus shale oil, 189 190 thermal processes, 70 74 products, 161 162, 384 underground, 119 reformate, 80 reforming processes, 80 82, 93, 198, 203 206 refuse. See landfill gas; waste regeneration, ferric oxide, 49 50 rejection, carbon, 88 89 renewable energy, 16 17 renewable fuels, 393 renewable materials. See biomass renewable natural gas, 352 research octane numbers, 95 research, wood, 299 300 reserves coal, 131 134 natural gas, 31 oil shale, 173 tar sand bitumen, 104 108 reservoirs methane hydrate, 35 natural gas, 29 30 petroleum, 66 shale gas, 35 Resid FCC (residuum fluid catalytic cracking), 89, 121 residua properties, 110 111, 368 369 refining, 88 90 visbreaking, 71

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