Testing results from

The results processor computes the test results from the raw data furnished by the AP and coUates these results together with the demographic patient data into test reports. Test results falling outside normal limits are flagged on the report to speed up the diagnosis process. These data managers can also store thousands of patient reports in their current memory. Some of the more sophisticated systems also store the actual reaction curves used to determine the test results. 

Parameter" Environmentalists recommendations New York State regulations Actual test results from Hempstead... 

Figure 10-4. Test results from different gases. [9] Reprinted by permission of The Institution of Mechanical Engineer ...

Dust-holding capacity and test results from laboratory trials differ from performances in actual use. 

Fig. 8.92 Comparison of test results from bend and tension tests upon Al-Zn-Mg alloy in 3% NaCl plus 0.1% H2O2 (after Brenner and Gruhl )...

The findings from two long term test runs in the SASOL plant relevant to catalyst life under design conditions in a commercial methane synthesis plant have already been published (3). This paper reports further test results from both demonstration units concerning the effect of certain reaction parameters which are the basis for flexibility and operability of the Lurgi methanation scheme. 

Correlations Among the Different Test Methods. Comparative studies revealed that the test results from different apparatus are not highly correlated, and often the effectiveness rank is not correlated [594]. The effect of the settling time and oil/water ratio are important in determining the final effectiveness value. Energy is important only to the extent that, when high energy is applied... 

Decrease in the amplitude of an oscillation or wave motion with time. Damping in rubber testing results from hysteresis. 

Precision is the closeness of agreement between independent test results obtained under stipulated conditions. Precision depends only on the distribution of random errors and does not relate to the true value. It is calculated by determining the standard deviation of the test results from repeat measurements. In numerical terms, a large number for the precision indicates that the results are scattered, i.e. the precision is poor. Quantitative measures of precision depend critically on the stipulated conditions. Repeatability and reproducibility are the two extreme conditions. 

This section discusses how the interpretation, evaluation, and correlation of test results from bench-scale equipment can be integrated into an approach to inherent process safety involving reactive systems. 

A comparison has been made between small scale test results and a field trial at a 17-ton scale for a solid compound [217]. The test results from a very sensitive calorimeter (Thermal Activity Monitor from ThermoMetric, Sweden) were substituted in a model, and the self-heating situation in bulk containers was predicted. The large-scale trial was carried out in a steel rectangular container lined with polyethylene. A control device was used to keep the container at a temperature of 40 to 45°C. Several thermocouples enabled monitoring of the temperature as a function of time in different places in the large container. 

Continuous locked cycle test results from mixed lead zinc sulphide oxide ore... 

Nilsson, R., Maurer, T. and Redmond, N. (1993). A standard protocol for phototoxicity testing Results from an interlaboratory study. Contact Dermatitis 28, 285-290. 

Computers were first used in laboratories to calculate results and generate reports, often from an individual instrument. As automated analysers were developed, so the level of computerization increased and computers now play a major role in the modem laboratory. They are associated with both the analytical and organizational aspects and the term Laboratory Information Management System (LIMS) is often used to describe this overall function. Such systems are available that link the various operations associated with the production of a validated test result, from the receipt of the sample to the electronic transmission of the report to the initiator of the request, who may be at a site removed from the laboratory. Other uses include stock control, human resource management and budgets. 

Receive briefings of the most recent demonstration test results from technology providers. Develop responses to reviewer s comments for the EDS I update letter report. Continue text development toward a concurrence draft for the Blue Grass EDS II report. 

Intermediate precision generally incorporates test results from several assays both within a day and day-to-day over a time period (e.g., days, months, etc.). If appropriate, it includes replicates of multiple samples from various analysts and instruments. As in the repeatability studies, intermediate precision is determined by calculating mean, SD, and RSD values across analyst-to-analyst, instrument-to-instrument, and day-to-day studies. Intermediate precision can be reported as an SD or RSD value, depending on preference. 

When we receive these test results from laboratory and field testing, we reconsider the entire slate of designer waters to see whether there are some other options that we should explore. When we are finally satisfied wifh our investigations, or run out of time and budget, we begin the process of evaluations and assessment of all of these options, and see whether there are one or more options to recommend. The candidate should have the properties of a potential market niche with defined cusfomers, a defined process technology to make the product, and a financial plan tiiaf would make a suitable profit. 

The differences between catalysts from Group 2 and Group 3 are illustrated in the following figures, using test results from two typical catalysts from Group 2 and one catalyst from Group 3. The surface areas for these catalysts are shown in Table 3.7. 

Differences between both tests result from the different test principles. Biosensors use either a pure culture of microbes or a defined combination of several species of microorganisms with a fixed metabolic state, whereas for the conventional method an undefined bacterial population derived from activated sludge is used. In Sect. 3.2.1.3 it is shown that this obstacle can at least partly be overcome by the selection of suitable microorgaiusms for the BOD-sensor design. 

The selectivity of an analytical method is determined by comparing test results from the analysis of samples containing impurities (related compound), degradation products (originated from samples submitted to stress conditions), or placebo ingredients with those obtained from the analysis of samples without impurities, degradation product, or placebo ingredients. 

Because microbiological test results from a water system are not usually obtained until after the dmg product is manufactured, results exceeding limits shall be reviewed with regard to the drug product formulated from such water. Consideration with regard to the further processing or release of such a product will depend upon the specific contaminant, the process, and the end use of the product. Such situations are usually evaluated on a case-by-case basis. 

To establish safety and to ensure consistency, the complete chemical composition should be provided for every material used in the manufacture of a packaging component. Test results from appropriate qualification and characterization tests should be provided. Adequate information regarding the tests, methods, acceptance criteria, reference standards, and validation information should be also provided. 

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