Information technology systems classifications

A useful classification of sensitizing dyes is the one adopted to describe patents in image technology. In Table 1, the Image Technology Patent Information System (ITPAIS), dye classes and representative patent citations from the ITPAIS file are Hsted as a function of significant dye class. From these citations it is clear that preferred sensitizers for silver haUdes are polymethine dyes (cyanine, merocyanine, etc), whereas other semiconductors have more evenly distributed citations. Zinc oxide, for example, is frequendy sensitized by xanthene dyes (qv) or triarylmethane dyes (see Triphenylmethane and related dyes) as well as cyanines and merocyanines (see Cyanine dyes). 

A difficulty arises in describing the precise chemical nature of many inhibitor formulations that are actually used in practice. With the advancing technology of inhibitor applications there are an increasing number of formulations that are marketed under trade names. The compositions of these are, for various reasons, frequently not disclosed. A similar problem arises in describing the composition of many inhibitor formulations used in the former Soviet Union. Here the practice is to use an abbreviated classification system and it is often difficult to trace the actual composition, although in many cases a judicious literature search will provide the required information. 

The ABPI examinations for medical representatives and generic sales representatives are based on a syllabus published by the ABPI which covers, as appropriate, subjects such as body systems, disease processes and pharmacology, the classification of medicines and pharmaceutical technology. Information on the National Health Service and pharmaceutical industry forms an additional core part of the syllabus. The syllabus is complementary to, and may be incorporated within, the company s induction training which is provided to representatives as a pre-requisite to carrying out their function. 

The ABPI Code of Practice, in line with European Directive 75/319/EEC, calls for an efficient transfer of information on adverse drug reactions. In the case of defective medicines, an ABPI Batch Recall of Pharmaceutical Products system is in operation. In the ABPI Expanded Syllabus, batch recall is referred to in the Pharmaceutical Technology section and adverse drug reactions in the Pharmacology and Classification of Medicines and the Pharmaceutical Industry and the NHS sections. 

A useful classification of sensitizing dyes is the one adopted to describe patents in image technology. In Table 1. the Image Technology Patent information System (ITPAIS). dye classes and representative patent citations from the ITPAIS file are listed as a function of significant dye class. 

Each of these main divisions is subdivided into as many classes as are required by the amount and type of information to be classified. Table II shows the breakdown of the lubricants and lubrication division of the present system. The firet letter in the file designation for each class is that of the main division, in this case F for lubricants and lubrication. The second letter in the file designation indicates the particular class within the main division. A number of classes are provided for the various lubricant products, while others exist for classification of information relating to their production, specifications, testing, etc. Each class is further divided as extensively as has proved to be useful. Since the system was initiated prior to 1927, it is not surprising that a number of subclasses have since been added, as, for that matter, have some classes and even a few main divisions. The rapid progress of petroleum technology in recent years has compelled the revision now under wa ... 

I erminology and nomenclature serve science and technology in a variety of ways, of which the most obvious are the communication and recording of information. Equally important is the use of scientific and technical terms as building blocks for constructing indexes, classification systems, and codes for mechanical searching. 

As it is impossible to analyze all types of electrolyte tvithin the limitations of this chapter, the reader is directed towards many comprehensive reviews where the known solid electrolytes are classified according to their technological functions [38], the nature of their transition to a highly conducting state [13], the constituent chemical species [39], or their crystal structures [40]. Other recent surveys have been devoted to systems with 3-D ionic migration [41] and to the electrolytes with a certain type ofmobile species (e.g., oxygen anions [42]). Information on these groups of ionic conductors can be found in Chapters 7-9. Irrespective of classifications and microscopic mechanisms, the partial ionic conductivity (G,) of a solid can be expressed as... 

Having characterized information systems and distinguished them from decision support systems, we can now look at classes of ISs. One approach to classification is based on functional application domains ISs for finance applications, manufacturing applications, human resource applications, accounting applications, sales applications, and so forth. Another classification approach is to differentiate ISs in terms of the underlying technologies used to buUd them file management, database... 

Even though there have been serious, and successful, attempts to define coal by means of a variable series of classification systems, there is now, in the modern world, a potential lapse in the information. And that relates to the environmental issues. Other than comparing data (such as is provided by elemental analyses, Table 2.10), there is no other means by which the potential environmental liability of coal usage can be determined. Nor, for that matter, might there ever be, but such a possibility is always worthy of consideration as coal science and technology evolves and moves into the era of clean coal technology (Chapter 22). 

The two items belonging to the remote patient monitoring classification are telemedicine and telehealth. Finally, the pattern identification (to learn from errors and systems influences on adverse events) classification includes items such as electronic medical records and workload and staffing data systems. Additional information on technology commonly used by the nursing profession is available in Ref. [4]. 

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