Document Analyst

The symbol pr in printed CA Chemical Subject Indexes denotes preparation, and was first introduced in July-December 1994 (Volume 121). Abstracts are assigned pr on an intellectual basis by CAS document analysts if the original source material provides information on preparation or related concepts such as manufacture, purification, recovery, synthesis, extraction, generation, isolation, and secretion. 

Document analysts abstract papers and patents published in more than 50 languages. They also thoroughly index each paper or patent using both key words and phrases from the titles and abstracts of the document as well as highly controlled and structured index entries to subjects covered and chemical substances mentioned. 

A typical validation will include at least six precision and accuracy assays to define the consistency of the assay. Within those assays, several parameters can be defined, including early stability, specificity, selectivity, and range of quantification. No assay run should be eliminated except for a true and documented analyst s error. 

The document analyst specifies the single-step reactions to be entered in the database ... 

The document analyst specifies both reactions 14 and 15, but reaction 15 will be ignored when constructing the hnkage reactions. A total of 96 linkage reactions is generated for the above reaction scheme they are shown in Appendix A. 

Reaction notes are input by the document analyst to report reaction conditions that are important and cannot be seen from the reaction participants safety information associated with the reaction or other reaction-related information. Reaction conditions are described by terms such as photochem or high pressure . The reaction note is searchable. 

Other names, for example, semisystematic, common, or trade names may appear. Whether a substance record contains one of these names depends on whether such a name was input to the CAS Registry System by CAS document analysts when preparing CA Chemical Substance Index entries. 

Number is returned to the document analyst. If the input structure does not match any substance already on file, a new CAS Registry Number is assigned and returned to the document analyst. 

Analysis processing starts with document analysis. In this process, a short summary (abstract) of the document is created along with keyword phrases, which provide simple natural-language access points for the subject content of the article. Also, the document analyst identifies the chemical substance and general subject index entries that capture the uniqueness of the document and provide the critical controlled-vocabulary, articulated subject access points. 

The MUSE document editor (MDE) is used by document analysts to input and edit document abstracts and index entries prior to their publication and distribution in CAS products and services (MUSE is described in Section 2.2.1). MDE provides full text-processing capabilities and an extended character set that includes Greek and other special characters. MDE also provides extensive online data edits that provide immediate... 

During data acquisition, the document analyst decides whether for a given compound a structure can be drawn or not. 

The largest storehouse of personal origin documents of outstanding scientists of Ukraine (about 350 funds, including more than 40 - scientists-chemists) is the Archivist Institute of National librar y of Ukraine. Among them the ar chival fund of academician of Academy of Sciences of Ukraine Anatoly Kirillovich Babko, the honored worker of a science, professor, founder of the Kyiv school of chemists-analysts. He is the author of 420 scientific works and several monographs and textbooks. 

After preparation, a checklist may be used by less expert engineers than the preparers for inspecting the process areas to compare the process equipment and operations with the checklist oidrcr on hardcopy or laptop computer. The analyst fills in the checklist according to observations from their inspection, process documentation, and interviews with operators and their perceptions. 

Before the analyst begins fault tree construction, it is necessary to document and understand System design,... 

It is more common for a complete PSA to take 16 to 24 months with several rnuiilhs tor preparation, review, and revision of the final report. The final report for a level 3 nuclear plant PSA, includes an analysis of external events, in several large volumes. Completeness and consistency in such a large document requires several months of team leadership and selected analysts. Given these resources, it may be possible to complete the technical analyses for a Level 1 PSA in a year or less, but the final report will take several more months to prepare. 

You need an improvement system that causes improvement opportunities to be identified. Relying on chance encounters will not create the conditions needed for continuous improvement. The data that needs to be analyzed will be generated by a particular process and this process governed by particular documented procedures. By having already placed instructions in these procedures for certain data to be transmitted to your data analysts, you can cause opportunities to be identified. Other opportunities that are less dependent on product or process data may arise from the audit process and particular projects such as benchmarking, customer and supplier surveys. 

Reference to such documents may be useful at early stages in the task analysis to inform the analyst about the overall nature and breadth of tasks carried out. Later, as the detail of the task is becoming established, such documents serve to provide crucial information. The use of experts in helping with the interpretation of documents is usually necessary, vmless the analyst is directly involved with the system on a regular basis. 

The case study has documented the investigation and root cause analysis process applied to the hydrocarbon explosion that initiated the Piper Alpha incident. The case study serves to illustrate the use of the STEP technique, which provides a clear graphical representation of the agents and events involved in the incident process. The case study also demonstrates the identification of the critical events in the sequence which significantly influenced the outcome of the incident. Finally the root causes of these critical events were determined. This allows the analyst to evaluate why they occurred and indicated areas to be addressed in developing effechve error reduchon strategies. 

Sometimes it is necessary to review the narrative in raw data records to determine whether a failure has occurred, to establish failure modes and severities, and to see if a record is a duplicate or new failure. Often, the narrative section is the only way the data analyst can determine if the document, especially a work order, is for a legitimate failure, routine maintenance, or a specified test. 

This concept reduces the manual analysis required for each data set. The analyst can scan the documentation that is generated (i.e., the exception report and trend charts) for each of the selected narrowbands to determine if further analysis is required. 

The third step is to proceed to the component level because more than likely, the cause will be uncovered here. Table 62.2 shows machinery component failure modes commonly encountered in machinery failure analysis together with suggested standard life values, Weibull indices (/J), and responsiveness to preventable or predictable maintenance strategies. Referring to this table will help decision-making. To assist the analyst in documenting bad actor failure modes on the component level. 

All formulas are to be written out by hand with the specific numbers in the right places on a sheet provided for the purpose, and the calculations are to be done by calculator. Caution Write the numbers exactly as printed, do not round any digits, or the quality assurance unit (a sort of corporate vice squad) will not approve the report out of fear that someone could have cheated. A validated program can be used. While an Excel spreadsheet as such needs no validation, a simple cell-formula calls for extensive tests and documentation and proof that the sheet is password protected against fraudulent manipulation. On top of that, the analyst s supervisor is required to confirm the calculation and sign off on... 

The complex situation The analysis involves some instruments (e.g., dissolution apparatus, HPLC, balance), dozens of samples, and several analysts, and could take days to perform. If nobody notices anything particular about the individual snippets of work or any of the results, no observations of probable operator error are documented. When the supervisor then inserts number after unspectacular number into the formula, all results turn out to be within specification limits, with the exception of one or two that are barely outside. But, no documentation, no operator error, just inexplicable OOS, full investigation ... 

Product specification documents and analytical test methods—In preclinical development, these are important documents and they evolve along with the development phases. Drug substances and products for clinical trials are tested based on these documents, and so are the stability samples. It is critical to ensure that the analyst will perform the right tests against the right specifications with the correct version of the test method. Therefore a mechanism must be in place to control these documents. This can be done manually or with TIMS. A manually controlled system would require the analyst to sign out hard copies of the documents from a central location. After the testing is done, the analyst would have to return these controlled documents to the... 

Sound analytical assessments require that analysts understand the manner in which the data were collected, reconfigured, migrated, and combined. These processes should be documented in a transparent way so that future investigators can readily understand the anonymization and migration in real time. 

The revised database holds over 23 000 analyte values for 660 measurands and 1670 reference materials produced by 56 different producers, from 22 countries. The database is restricted to natural matrix materials (i.e. made from naturally occurring materials, excluding calibration standards manufactured from pure chemicals). Information has been extracted from the relevant certificates of analysis, information sheets, and other reports provided by the reference material producers. As a general rule, the authors have only included in the compilation reference materials for which a certificate of analysis or similar documentation is on file. Information included in the survey is on values for measurands determined in reference materials, producers, suppliers, the cost of the materials, the unit size supplied, and the recommended minimum weight of material for analysis, if available. The new searchable database has been designed to help analysts to select reference materials for quality assurance purposes that match as closely as possible, with respect to matrix type and concentrations of the measurands of interest and their samples to be analyzed see Table 8.3. 

If analytical methods are validated in inter-laboratory validation studies, documentation should follow the requirements of the harmonized protocol of lUPAC. " However, multi-matrix/multi-residue methods are applicable to hundreds of pesticides in dozens of commodities and have to be validated at several concentration levels. Any complete documentation of validation results is impossible in that case. Some performance characteristics, e.g., the specificity of analyte detection, an appropriate calibration range and sufficient detection sensitivity, are prerequisites for the determination of acceptable trueness and precision and their publication is less important. The LOD and LOQ depend on special instmmentation, analysts involved, time, batches of chemicals, etc., and cannot easily be reproduced. Therefore, these characteristics are less important. A practical, frequently applied alternative is the publication only of trueness (most often in terms of recovery) and precision for each analyte at each level. No consensus seems to exist as to whether these analyte-parameter sets should be documented, e.g., separately for each commodity or accumulated for all experiments done with the same analyte. In the latter case, the applicability of methods with regard to commodities can be documented in separate tables without performance characteristics. 

As an analyst you understand the meaning of the scientific data you produce. However, it must be remembered that laymen often do not and so the data need to be documented in a form that is easily understood. For example, the chromatographic analysis of hydrocarbon oil from an oil spill can produce a chromatogram with over 300 components. Explaining the significance of such data to a jury will be of little benefit. However, overlaying it with a standard trace can demonstrate pictorially whether there is a similarity or not. The customer requires information from the analyst to prove a point. If the data are not fully documented, then the point cannot be proven. A customer who has confidence in a laboratory will always return. 

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