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Training clarity

The order used to clean these areas may be intuitive, but for clarity s sake we should keep in mind the following principle. Cleanup should be performed in the cleanest areas first. For the five-stage decontamination area mentioned, cleaning should start in the clean room. In fact, cleaning should start in the cleanest area of the clean room, and then address each area in order of cleanliness. The last area to be cleaned will be the dirty room. If workers will be performing cleanup activities, they should be properly trained and qualified. If an outside service is utilized, those workers should also be trained and qualified [4]. [Pg.162]

Written surveys request feedback on the PSM system, asking about its clarity, ease of use, quality of training received on the system, perceived barriers to its effective use, perceived effectiveness in meeting objectives, and suggested modifications and improvements. These kinds of surveys typically mix open-ended and "yes/no" questions, and are distributed to all system users they tend to be simple and brief to encourage participation. Figure 8-6 provides an example. [Pg.183]

The next few steps are very similar to those required in any software project. One of the first stages is the clear definition of the knowledge domain. It must be clear which problems the expert system must solve. It is at this stage not the intention to define how this can be done. Clarity and specificity must be the major guides here. Fuzziness at this stage will, more than in classical software projects, have to be paid for later when different interpretations cause misunderstandings. Equally important is the clear definition of the end user(s). An expert system set up as decision support tool for professionals is totally different from an expert system that can be used as a training support for less professional people. [Pg.643]

Clarity is defined as the state or quality of being clear or transparent to the eye. Clarity is a relative term subject to the visual acuity, training, and experience of the sorter. Clarity specifications are not given in the USP, other than to state that all injections be subjected to visual inspection. [Pg.415]

A plot of the measurement vectors of all of the samples in the training set is shown in Figure 4.61 (an offset for each class was added for clarity). The measurement vectors within a class have similar features and there is significant overlap of features between classes. Examine this plot for outlier samples and/or measurement variables as well as an indication of the need for preprocessing. In this case, all measurements appear to be reasonable and preprocessing does not appear to be warranted. [Pg.253]

Fig. 8.2. Some of the most common 2D pulse sequences that can be employed using a proper choice of parameters to record 2D spectra of paramagnetic molecules (A) NOESY, (B) ROESY, (C) COSY, (D) ISECR COSY, (E) zero-quantum (double quantum) COSY, (F) TOCSY, (G) HMQC, (H) HSQC. Sequences (A), (B) and (F) are also used to obtain EXSY spectra. SL indicates a soft spin-lock sequence, while MLEV17 indicates a train of spin-locking hard pulses that optimizes the development of J/j coupling. In the reverse heteronuclear experiment (G) the upper and lower levels refer to H and heteronucleus, respectively. The phase cycles are not indicated. For clarity of discussion, all initial pulses can be thought to be applied along the y axis, in such a way that the coherence after the first 90° pulse is always along x. ... Fig. 8.2. Some of the most common 2D pulse sequences that can be employed using a proper choice of parameters to record 2D spectra of paramagnetic molecules (A) NOESY, (B) ROESY, (C) COSY, (D) ISECR COSY, (E) zero-quantum (double quantum) COSY, (F) TOCSY, (G) HMQC, (H) HSQC. Sequences (A), (B) and (F) are also used to obtain EXSY spectra. SL indicates a soft spin-lock sequence, while MLEV17 indicates a train of spin-locking hard pulses that optimizes the development of J/j coupling. In the reverse heteronuclear experiment (G) the upper and lower levels refer to H and heteronucleus, respectively. The phase cycles are not indicated. For clarity of discussion, all initial pulses can be thought to be applied along the y axis, in such a way that the coherence after the first 90° pulse is always along x. ...
Heavy metals, like lead and mercury, have been recognized as toxic poisons for centuries. Further, toxic concentrations of mercury, for example, can trigger several effects like autoimmune diseases, infections, unexplained chronic fatigue, depression, nerve impairment, memory problems, decreased mental clarity, and bowel disorders. For several decades, mercury vapor exposure has caused severe health problems among chloralkali workers. This is only an example. It may be repeated that education can effectively minimize exposure to hazardous metals. Basic information and training for proper handling of toxic chemicals will reduce potential adverse health effects. [Pg.80]

Consequently, we ve subconsciously trained ourselves to assimilate information better in neat little packages. If your notes are scrawled all over the paper, it fragments the flow of the information. Strive for clarity. Newspapers use a standard format to achieve clarity. Your notes can be much clearer through use of proper formatting. A very effective format is called the Cornell Method. ... [Pg.351]

The intent of SD Planner is to provide these capabilities in a manner that is generic, yet highly customizable to the needs of an individual company. In addition, SD Planner strives for clarity and simplicity, so that it is intuitive and easy to use with minimal training. The graphical user interface has been designed accordingly. [Pg.96]

We show in Figures 9.10 the separation of a ternary mixture (solutes Ai, A2 and A3), displaced by a solution of A4, as predicted by the ideal model and calculated by Rhee et al. [10]. In this case, the displacer concentration is higher than the critical value, to < a, and the isotachic train finally formed includes the bands of all three components. For clarity, the authors have shown two separate chromatograms for each time at which they calculated the individual band pro-... [Pg.459]

The spiritual state of Great Clarity is described in analogous terms in the Neiye (Inner Training 350/300 bce) chapter of the Guanzi, whose date approximates that of the Zhuangzi ... [Pg.38]

Matt, a Ph.D. student at Stanford School of Medicine, provided me with the majority of the scientific journal articles that you see referenced in the text. Not only did he somehow find the time between his graduate studies and research work (and running his own chewing gum company) to pull these articles for me, but he was just late-night calls away when I needed the similes that lead to clarity "... so, dendritic cells are like the generals that train the troops. ... [Pg.246]

The detailed nature of the specification was earlier mentioned. In fact the clarity of it concerning the steel itself left a great deal to be desired. Only four Izod impact tests were required, two with a notch in the weld and two with a notch in the heat affected zone. It was also stated that tests should be carried out at two temperatures, 32°F and 70 F. If this had been the case then only one test under each condition would have been made. In the event it was unfortunate that the lower temperature test was omitted, because it was the more critical one from the point of view of brittle fracture. If the reasons for these tests had been stated in the specification, then at least the CRB inspectors would have been able to approach their task with more understanding. The commissioners were of the opinion that the ambiguous use of the term BS 968 contributed to the series of misunderstandings that surrounded the supply of steel to the bridge. They were convinced that the train of events would have been quite different if the full specification of the steel required had been given without mention of BS 968. [Pg.143]

Figure 15.12 An example of part of a trained decision tree. The questions are asked at each node, after which the tree splits. The number indicate the number of data points at each node. The double circles indicate leaf nodes, where the splitting processes stops. For clarity, only part of the tree is shown. The feature structure which describes one leaf is shown. Figure 15.12 An example of part of a trained decision tree. The questions are asked at each node, after which the tree splits. The number indicate the number of data points at each node. The double circles indicate leaf nodes, where the splitting processes stops. For clarity, only part of the tree is shown. The feature structure which describes one leaf is shown.

See other pages where Training clarity is mentioned: [Pg.181]    [Pg.157]    [Pg.36]    [Pg.234]    [Pg.26]    [Pg.60]    [Pg.264]    [Pg.361]    [Pg.363]    [Pg.325]    [Pg.131]    [Pg.21]    [Pg.26]    [Pg.128]    [Pg.121]    [Pg.80]    [Pg.16]    [Pg.34]    [Pg.2285]    [Pg.186]    [Pg.228]    [Pg.23]    [Pg.18]    [Pg.383]    [Pg.4]    [Pg.49]    [Pg.17]    [Pg.72]    [Pg.935]    [Pg.1228]    [Pg.78]    [Pg.78]    [Pg.67]   
See also in sourсe #XX -- [ Pg.126 ]




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