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The right hand, on its way back from the butter, picks up a slice of cheese and so on On a busy sandwich station, every second counts Two other considerations are important while we re talking about ingredients: 1 Sanitation Because cold sandwiches are subjected to a lot of handling and are not cooked,it is especially important that ingredients be properly refrigerated and protected at all times A refrigerated table sort of a cold version of a steam table is usually used Refrigerated drawers or under-the-counter reach-ins are used for less frequently needed items Wash hands carefully and thoroughly before beginning work In addition, be aware of local sanitation requirements In some places, laws require that workers wear gloves when handling ready-to-eat foods (see p 26) Portion control Sliced items are portioned by the count and by weight.

The dough is shaped into loaves or rolls and placed in pans or on baking sheets. For all loaves and rolls, the seam must be centered on the bottom to avoid splitting during baking. Breads and rolls take a great many forms. A variety of shapes and techniques is presented in the next section.

Integrated: To form, coordinate, or blend into a functioning or unified whole.11 A popular computer buzzword that refers to two or more components merged together into a single system.12

puter security is about confidentiality, integrity and availability, electronic warfare has this reversed and back-to-front. The priorities are:

If portioning is by the count,you must take care,during pre-prep,to slice to the proper thicknessIf done by weight,each portion can be placed on squares of waxed paper and stacked in a container..

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bug appears too strong and causes possible inef ciency, it guarantees better reliability and, therefore, better trustworthiness of the lexer and the parser that calls nextToken: According to Java semantics, the caller must process possible checked exceptions thrown by the method, and cannot forget them, otherwise the Java compiler will issue an error message. Another example of ANTLR-generated Java code is as follows. Let the following lexer rules are de ned: INT : ( 0 .. 9 )+; WS : | \t | \r | \n ; to specify integer numbers and white spaces, accordingly (please note the similarity of the INT de nition to lex style). Then, the lexer generated by ANTLR will contain the nextToken method with the following code: public Token nextToken() throws TokenStreamException { for (;;) { Token _token = null; int _ttype = Token.INVALID_TYPE; resetText(); switch (LA(1)) { case 0 : case 1 : case 2 : case 3 : case 4 : case 5 : case 6 : case 7 : case 8 : case 9 : mINT(); break; case \t : case \n : case \r : case : mWS(); break; default: // error } } } In the above Java code, mINT and mWS are the methods to process integer numbers or white spaces in the source stream. In general, ANTLR is based on LL(k) predictive parsing [5]. It can resolve lexical and parsing con icts that may arise when using LL analysis, since the structure of real programming languages doesn t always obey the strict LL limitations, as we ll see later in 4. Similar to lex, ANTLR provides a lot of prede ned tools to examine the current token buffer, and so on, but formulated in modern object-oriented style.

CrossReference For more information on controllers, see 33, Animating with Constraints and Controllers.

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Business analytics is an amazing strategic lever. The senior management team needs to understand what business analytics is and what it can accomplish. Ramon Baez, the award-winning CIO at Kimberly-Clark, is very excited about the prospects moving forward. He explained to me in a phone interview: I am now working for a CFO that understands the power of standardization and analytics. This is important because you can t do analytics unless your data is common across the board. It takes a whole culture to understand the power of business analytics. It can t just be the marketing guys. It can t just be the sales guys. It really needs to be nance, sales, marketing, and supply chain. This place gets it. When I went to my interview for my current role, a big part of my discussion with the CEO and chairman of the company focused around decision support systems, business intelligence, and analytics. At Kimberly-Clark, the enterprise business intelligence group reports to the CIO. People from across the enterprise come to the enterprise intelligence people and say, Hey, this is what we are looking for from an analytic standpoint. This is the problem we are trying to solve. This is the issue that we are having out in the wonderful world of marketing or any other teams, and by the way, this is the kind of data and the kind of information that they want to be able to start making informed decisions quickly. Then that shared resource from the enterprise business intelligence team works with them to drive results and value.

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