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1

7 CFR 58.442 - Laboratory and quality control tests.  

Code of Federal Regulations, 2010 CFR

...false Laboratory and quality control tests. ...442 Laboratory and quality control tests. (a) Chemical analyses —(1...assure compliance with composition requirements. (2) Test method. Chemical analysis...

2010-01-01

2

Laboratory Quality Control Based on Risk Management  

PubMed Central

Risk management is the systematic application of management policies, procedures, and practices to the tasks of analyzing, evaluating, controlling and monitoring risk (the effect of uncertainty on objectives). Clinical laboratories conduct a number of activities that could be considered risk management including verification of performance of new tests, troubleshooting instrument problems and responding to physician complaints. Development of a quality control plan for a laboratory test requires a process map of the testing process with consideration for weak steps in the preanalytic, analytic and postanalytic phases of testing where there is an increased probability of errors. Control processes that either prevent or improve the detection of errors can be implemented at these weak points in the testing process to enhance the overall quality of the test result. This manuscript is based on a presentation at the 2nd International Symposium on Point of Care Testing held at King Faisal Specialist Hospital in Riyadh, Saudi Arabia on October 12-13, 2010. Risk management principles will be reviewed and progress towards adopting a new Clinical and Laboratory Standards Institute Guideline for developing laboratory quality control plans based on risk management will be discussed. PMID:21623049

Nichols, James H.

2011-01-01

3

HANDBOOK FOR ANALYTICAL QUALITY CONTROL IN WATER AND WASTEWATER LABORATORIES  

EPA Science Inventory

This handbook is addressed to laboratory directors, leaders of field investigations, and other personnel who bear responsibility for water and wastewater data. Subject matter of the handbook is concerned primarily with quality control (QC) for chemical and biological tests and me...

4

[Improvement of routine works and quality control in mycobacterial laboratory].  

PubMed

Many new methods have been introduced into routine laboratory works in microbiology since 1990. Molecular biology, in particular, opened a new era and promoted a technician's skill much. PCR and hybridization technique have been ordinary one in many laboratories. Since old techniques such as smear and culture are still needed, amount of routine works is increasing gradually. Thus, improving efficiency and keeping quality of routine works are becoming more and more important issues. This symposium focused on such points, and four skilled technicians around Japan presented their own tips. 1. Coexistence of M. tuberculosis and M. avium complex (MAC) in the MGIT culture system: Yasushi WATANABE (Clinical Laboratory Division, NHO Nishi-Niigata Chuo National Hospital). Sputum samples of some tuberculosis patients yielded only MAC in the MGIT culture system. Such co-infected cases presented problems to mislead proper treatment and infection control. The detection rate of MAC was significantly high, and the growth speed of MAC was significantly rapid in the MGIT culture system, compared to those of M. tuberculosis. Additionally, M. tuberculosis was not detected with even more quantity than MAC in the small amount of mixed samples. Higher sensitivity and growth speed of MAC are the important characteristics of the MGIT system. 2. Internal quality control with ordinary examination results: Akio AONO (Department of Clinical Examination, Double-Barred Cross Hospital, Japan Anti-Tuberculosis Association). Our laboratory utilizes ordinary examination results as the internal quality control for specimen pretreatment, culture, and drug susceptibility testing. The contamination rate of MGIT culture system is useful for the evaluation of the decontamination process. It was 6.3% on average in our laboratory in 2005. The number of drug resistant strains is also useful to assess the performance of drug susceptibility testing. The incidence of each anti-tuberculosis drug resistance detected monthly in 2005 is up to 5 for isoniazid (INH), 4 for rifampicin (RFP), 7 for streptomycin (SM), 1 for ethambutol (EB), and 2 for pyrazinamide (PZA), respectively. If any serious deviation from the average number is observed, action for the investigation is taken. The analysis of the ordinary examination data is useful to implement a quality control efficiently, and to improve the total laboratory performance. 3. The advanced devices for solving problems of the smears and cultivation of Mycobacteria: Motohisa TOMITA (NHO Kinki-chuo Chest Medical Center). Recently, the newly developed, standardized, commercially available kits including PCR and liquid media for confirmation and identification of mycobacteria are prevalent in Japan for the rapid diagnosis of M. tuberculosis. These tests are sensitive and accurate, but still expensive and technically demanding. The improvement of these methods, in particular, requires time-consuming process. We have optimized the culture technique, the identification method, and the drug-susceptibility testing for Mycobacteria in a time-saving manner. They should provide a basic grounding in the application of the techniques for anyone who is interested in these intriguing bacteria. 4. Ultimate quality control of specimens--teaching how to get a good sputum sample: Takeshi HIGUCHI (Kyoto University Hospital). Modern techniques including molecular biology have been applied to routine laboratory works for rapid detection, identification, and drug susceptibility testing of mycobacteria. Even in using such techniques, however, poor quality specimens yield only poor results. To get a high quality specimen, particularly sputum samples, is very important. Therefore, laboratory technicians in our hospital have directly taught each patient how to expectorate good quality sputa since 2001. The teaching of patients has improved the rate of P1 samples from 21.5% to 36.6% by Miller and Jones visual score of sputum. The teaching has also improved the rate of smear positive P1 samples from 11.4% to 28.8%. To teach each patient how to get go

Suzuki, Katsuhiro; Higuchi, Takeshi

2007-03-01

5

FIELD AND LABORATORY QUALITY ASSURANCE/QUALITY CONTROL PROTOCOLS AND ACCOMPLISHMENTS FOR THE FERNOW EXPERIMENTAL FOREST WATERSHED ACIDIFICATION STUDY  

EPA Science Inventory

Field and laboratory quality assurance/quality control (QA/QC) protocols for a whole-watershed acidification study on the Fernow Experimental Forest are described. rocedures are detailed thoroughly to: (1) allow individuals familiar with QA/QC to judge for themselves the quality ...

6

Implementation of internal laboratory quality control procedures for the monitoring of ELISA performance at a regional veterinary laboratory  

Microsoft Academic Search

Quality control (QC) procedures for antigen detection enzyme-linked immunosorbent assays (ELISAs) for hog cholera (HC) virus, foot and mouth disease (FMD) virus, and an antibody detection ELISA for FMD virus were established at a regional veterinary laboratory in northern Thailand. A recently developed computer software package, QCEL, was used to facilitate management and analysis of QC data. The program was

Stuart D. Blacksell; Angus R. Cameron; Chanpen Chamnanpood; Pornchai Chamnanpood; Dumrongsak Tatong; Mathurose Monpolsiri; Harvey A. Westbury

1996-01-01

7

[The quality control of nutrient medium in laboratory bacteriologic diagnostics of diphtheria].  

PubMed

The article deals with the results of studying the growth characteristics of nine nutrient mediums for primary plating of pathologic material. It is demonstrated that for successful and proper functioning of bacteriologic laboratory providing bacterial analysis for diphtheria the permanent quality control is needed to monitor the nutrient mediums for primary plating. The quality control is applied to evaluate the growth characteristics on such criteria as germination of isolated culture, intensity of its growth in 24 and 48 hours, optimal size of colonies characterized by their cultural characteristics, inhibiting activity concerning concurrent microflora. PMID:22768717

Mazurova, I K; Borisova, O Iu; Rudakova, I A; Gadua, N T; Ivashinnikova, G A; Salova, N Ia; Abasova, F M; Trebunskikh, I P; Dmitrieva, L A; Aleshkin, V A

2012-04-01

8

The Hazardous-Drums Project: A Multiweek Laboratory Exercise for General Chemistry Involving Environmental, Quality Control, and Cost Evaluation  

ERIC Educational Resources Information Center

A laboratory experiment is described that introduces students to "real-world" hazardous waste management issues chemists face. The students are required to define an analytical problem, choose a laboratory analysis method, investigate cost factors, consider quality-control issues, interpret the meaning of results, and provide management…

Hayes, David; Widanski, Bozena

2013-01-01

9

Internal quality control of the malaria microscopy diagnosis for 10 laboratories on the Thai-Myanmar border.  

PubMed

On the Thai-Myanmar border, where multidrug resistance to anti-malaria medications is a major problem, a quality control program for diagnostic laboratories has been set up. This study examines the "passive" screening performed in 10 laboratories. Monthly evaluation of the quality of thick and thin smear practice, Giemsa staining and microscopy took place during the year 1994. Considering the general context and the methodology applied, the evaluation of performance and strategy of the malaria diagnostic test showed satisfactory results for all 10 laboratories. Performance of technics = 64% (62-66) to 96% (95-97); Sensitivity = 92.6 (91.5-95.5) to 96.6% (95.8-99.0); Specificity = 93.5% (91.4-95.5) to 98.3% (97.6-99.0); Predictive Positive Value = 92.0% (90.9-93.1) to 98.3% (97.6-99.0); Predictive Negative Value = 94.3% (93.0-95.6) to 98.5% (98.0-99.0). The study underlines the importance of a reliable quality control method for microscopy diagnosis of malaria in hyperendemic areas, with Plasmodium falciparum as the main species. A high level of input from the international laboratory technician, performing training, follow-up and evaluation was required. The need for adequate training of national technicians and supervisors, especially regarding long-term sustainability, is stressed. The type of program presented can be used as a model for similar projects in developing countries. PMID:10437951

Hemme, F; Gay, F

1998-09-01

10

Application of sigma metrics for the assessment of quality control in clinical chemistry laboratory in Ghana: A pilot study  

PubMed Central

Background: Sigma metrics provide a uniquely defined scale with which we can assess the performance of a laboratory. The objective of this study was to assess the internal quality control (QC) in the clinical chemistry laboratory of the University of Cape Cost Hospital (UCC) using the six sigma metrics application. Materials and Methods: We used commercial control serum [normal (L1) and pathological (L2)] for validation of quality control. Metabolites (glucose, urea, and creatinine), lipids [triglycerides (TG), total cholesterol, high-density lipoprotein cholesterol (HDL-C)], enzymes [alkaline phosphatase (ALP), alanine aminotransferase (AST)], electrolytes (sodium, potassium, chloride) and total protein were assessed. Between-day imprecision (CVs), inaccuracy (Bias) and sigma values were calculated for each control level. Results: Apart from sodium (2.40%, 3.83%), chloride (2.52% and 2.51%) for both L1 and L2 respectively, and glucose (4.82%), cholesterol (4.86%) for L2, CVs for all other parameters (both L1 and L2) were >5%. Four parameters (HDL-C, urea, creatinine and potassium) achieved sigma levels >1 for both controls. Chloride and sodium achieved sigma levels >1 for L1 but <1 for L2. In contrast, cholesterol, total protein and AST achieved sigma levels <1 for L1 but >1 for L2. Glucose and ALP achieved a sigma level >1 for both control levels whereas TG achieved a sigma level >2 for both control levels. Conclusion: Unsatisfactory sigma levels (<3) where achieved for all parameters using both control levels, this shows instability and low consistency of results. There is the need for detailed assessment of the analytical procedures and the strengthening of the laboratory control systems in order to achieve effective six sigma levels for the laboratory.

Afrifa, Justice; Gyekye, Seth A.; Owiredu, William K. B. A.; Ephraim, Richard K. D.; Essien-Baidoo, Samuel; Amoah, Samuel; Simpong, David L.; Arthur, Aaron R.

2015-01-01

11

Quality Control Guidelines for National Committee for Clinical Laboratory Standards-Recommended Broth Macrodilution Testing of Ketoconazole and Itraconazole  

Microsoft Academic Search

Ketoconazole and itraconazole were tested in a multilaboratory study to establish quality control (QC) guidelines for yeast antifungal susceptibility testing. Two isolates that had been previously identified as QC isolates for amphotericin B,fluconazole, andflucytosine (Candida parapsilosisATCC 22019 andCandida krusei ATCC 6258) were tested in accordance with the National Committee for Clinical Laboratory Standards M27-P guidelines. Each isolate was tested 20

JOHN H. REX; MICHAEL A. PFALLER; MICHAEL LANCASTER; FRANK C. ODDS; ANNE BOLMSTROM; ANDMICHAEL G. RINALDI

1996-01-01

12

21 CFR 111.110 - What quality control operations are required for laboratory operations associated with the...  

Code of Federal Regulations, 2014 CFR

...with the production and process control system? 111.110 Section 111...SUPPLEMENTS Production and Process Control System: Requirements for Quality Control...with the production and process control system? Quality control...

2014-04-01

13

21 CFR 226.58 - Laboratory controls.  

Code of Federal Regulations, 2013 CFR

...quality, and purity. Laboratory controls shall include...description of necessary laboratory test procedures to check...accuracy, and precision of any laboratory test procedure used. The official...may be obtained from: AOAC INTERNATIONAL, 481 North Frederick...

2013-04-01

14

21 CFR 226.58 - Laboratory controls.  

Code of Federal Regulations, 2012 CFR

...quality, and purity. Laboratory controls shall include...description of necessary laboratory test procedures to check...accuracy, and precision of any laboratory test procedure used. The official...may be obtained from: AOAC INTERNATIONAL, 481 North Frederick...

2012-04-01

15

21 CFR 226.58 - Laboratory controls.  

Code of Federal Regulations, 2011 CFR

...quality, and purity. Laboratory controls shall include...description of necessary laboratory test procedures to check...accuracy, and precision of any laboratory test procedure used. The official...may be obtained from: AOAC INTERNATIONAL, 481 North Frederick...

2011-04-01

16

21 CFR 226.58 - Laboratory controls.  

Code of Federal Regulations, 2014 CFR

...quality, and purity. Laboratory controls shall include...description of necessary laboratory test procedures to check...accuracy, and precision of any laboratory test procedure used. The official...may be obtained from: AOAC INTERNATIONAL, 481 North Frederick...

2014-04-01

17

21 CFR 226.58 - Laboratory controls.  

Code of Federal Regulations, 2010 CFR

...quality, and purity. Laboratory controls shall include...description of necessary laboratory test procedures to check...accuracy, and precision of any laboratory test procedure used. The official...may be obtained from: AOAC INTERNATIONAL, 481 North Frederick...

2010-04-01

18

Statistical quality control procedures.  

PubMed

The right quality control (QC) should ensure the detection of important errors. Statistical QC (SQC) should be included in all QC plans. The Clinical and Laboratory Standards Institute (CLSI) C24A3 provides guidance for the application of SQC in medical laboratories. It describes a QC planning process and provides an SQC selection tool that relates the sigma-metric of a testing process to the medically important systematic error and the rejection characteristics of different SQC procedures. Once the right SQC has been selected, the laboratory must implement SQC right. CLSI C24A3 also provides guidance for establishing run length and control limits. PMID:23331732

Westgard, James O

2013-03-01

19

21 CFR 111.110 - What quality control operations are required for laboratory operations associated with the...  

Code of Federal Regulations, 2013 CFR

...CONSUMPTION CURRENT GOOD MANUFACTURING PRACTICE IN MANUFACTURING, PACKAGING, LABELING, OR HOLDING OPERATIONS FOR DIETARY SUPPLEMENTS Production and Process Control System: Requirements for Quality Control § 111.110 What quality...

2013-04-01

20

[Quality management in medical laboratories].  

PubMed

During the 20th century understanding for quality has changed and international and national requirements for quality have been published. Therefore also medical branches started to establish quality management systems. Quality assurance has always been important for medical laboratories. Certification according to the standard ISO 9001 and accreditation according to the standard ISO 17025 have been the proof of fulfilling quality requirements. The relatively new standard ISO 15189 is the first standard for medical laboratories. This standard includes technical and management requirements for the medical laboratory. The main focus is the proof of competence within the personnel. As this standard is accepted throughout the European Union an increase in accreditations of medical laboratories is predictable. PMID:20454753

Fritzer-Szekeres, M

2010-05-01

21

[Approval of ISO/IEC 17025 and quality control of laboratory testing].  

PubMed

First section of Division of Biomedical Food Research, National Institute of Health Sciences (NIHS) was approved by ISO/IEC 17025 as a laboratory having an appropriate laboratory testing technique. NIHS is the first national laboratory approved by ISO/IEC 17025. NIHS has also been accepted the appropriate technique and facility for the BSL3 level pathogens by ISO/IEC 17025. NIHS is necessary to take an external audit almost every year. This approval is renewed every 4 years. PMID:21381399

Yamamoto, Shigeki; Asakura, Hiroshi; Machii, Kenji; Igimi, Shizunobu

2010-01-01

22

Quality assurance and quality control in light stable isotope laboratories: a case study of Rio Grande, Texas, water samples.  

PubMed

New isotope laboratories can achieve the goal of reporting the same isotopic composition within analytical uncertainty for the same material analysed decades apart by (1) writing their own acceptance testing procedures and putting them into their mass spectrometric or laser-based isotope-ratio equipment procurement contract, (2) requiring a manufacturer to demonstrate acceptable performance using all sample ports provided with the instrumentation, (3) for each medium to be analysed, prepare two local reference materials substantially different in isotopic composition to encompass the range in isotopic composition expected in the laboratory and calibrated them with isotopic reference materials available from the International Atomic Energy Agency (IAEA) or the US National Institute of Standards and Technology (NIST), (4) using the optimum storage containers (for water samples, sealing in glass ampoules that are sterilised after sealing is satisfactory), (5) interspersing among sample unknowns local laboratory isotopic reference materials daily (internationally distributed isotopic reference materials can be ordered at three-year intervals, and can be used for elemental analyser analyses and other analyses that consume less than 1 mg of material) - this process applies to H, C, N, O, and S isotope ratios, (6) calculating isotopic compositions of unknowns by normalising isotopic data to that of local reference materials, which have been calibrated to internationally distributed isotopic reference materials, (7) reporting results on scales normalised to internationally distributed isotopic reference materials (where they are available) and providing to sample submitters the isotopic compositions of internationally distributed isotopic reference materials of the same substance had they been analysed with unknowns, (8) providing an audit trail in the laboratory for analytical results - this trail commonly will be in electronic format and might include a laboratory information management system, (9) making at regular intervals a complete backup of laboratory analytical data (both of samples logged into the laboratory and of mass spectrometric analyses), being sure to store one copy of this backup offsite, and (10) participating in interlaboratory comparison exercises sponsored by the IAEA and other agencies at regular intervals. PMID:20183226

Coplen, Tyler B; Qi, Haiping

2009-06-01

23

Quality assurance and quality control in light stable isotope laboratories: A case study of Rio Grande, Texas, water samples  

USGS Publications Warehouse

New isotope laboratories can achieve the goal of reporting the same isotopic composition within analytical uncertainty for the same material analysed decades apart by (1) writing their own acceptance testing procedures and putting them into their mass spectrometric or laser-based isotope-ratio equipment procurement contract, (2) requiring a manufacturer to demonstrate acceptable performance using all sample ports provided with the instrumentation, (3) for each medium to be analysed, prepare two local reference materials substantially different in isotopic composition to encompass the range in isotopic composition expected in the laboratory and calibrated them with isotopic reference materials available from the International Atomic Energy Agency (IAEA) or the US National Institute of Standards and Technology (NIST), (4) using the optimum storage containers (for water samples, sealing in glass ampoules that are sterilised after sealing is satisfactory), (5) interspersing among sample unknowns local laboratory isotopic reference materials daily (internationally distributed isotopic reference materials can be ordered at three-year intervals, and can be used for elemental analyser analyses and other analyses that consume less than 1 mg of material) - this process applies to H, C, N, O, and S isotope ratios, (6) calculating isotopic compositions of unknowns by normalising isotopic data to that of local reference materials, which have been calibrated to internationally distributed isotopic reference materials, (7) reporting results on scales normalised to internationally distributed isotopic reference materials (where they are available) and providing to sample submitters the isotopic compositions of internationally distributed isotopic reference materials of the same substance had they been analysed with unknowns, (8) providing an audit trail in the laboratory for analytical results - this trail commonly will be in electronic format and might include a laboratory information management system, (9) making at regular intervals a complete backup of laboratory analytical data (both of samples logged into the laboratory and of mass spectrometric analyses), being sure to store one copy of this backup offsite, and (10) participating in interlaboratory comparison exercises sponsored by the IAEA and other agencies at regular intervals. ?? Taylor & Francis.

Coplen, T.B.; Qi, H.

2009-01-01

24

A multi-laboratory evaluation of a clinically-validated incurred quality control material for analysis of allergens in food.  

PubMed

A dessert matrix previously used for diagnosis of food allergies was incurred with pasteurised egg white or skimmed milk powder at 3, 6, 15 and 30 mg allergen protein per kg of dessert matrix and evaluated as a quality control material for allergen analysis in a multi-laboratory trial. Analysis was performed by immunoassay using five kits each for egg and milk (based on casein) and six 'other' milk kits (five based on ?-lactoglobulin and one total milk). All kits detected allergen protein at the 3 mg kg(-1) level. Based on ISO criteria only one egg kit accurately determined egg protein at 3 mg kg(-1) (p=0.62) and one milk (casein) kit accurately determined milk at 6 (p=0.54) and 15 mg kg(-1) (p=0.83), against the target value. The milk "other" kits performed least well of all the kits assessed, giving the least precise analyses. The incurred dessert material had the characteristics required for a quality control material for allergen analysis. PMID:24262522

Johnson, Phil E; Rigby, Neil M; Dainty, Jack R; Mackie, Alan R; Immer, Ulrike U; Rogers, Adrian; Titchener, Pauline; Shoji, Masahiro; Ryan, Anne; Mata, Luis; Brown, Helen; Holzhauser, Thomas; Dumont, Valery; Wykes, Jill A; Walker, Michael; Griffin, Jon; White, Jane; Taylor, Glenn; Popping, Bert; Crevel, René; Miguel, Sonia; Lutter, Petra; Gaskin, Ferdelie; Koerner, Terry B; Clarke, Dean; Sherlock, Robin; Flanagan, Andrew; Chan, Chun-Han; Mills, E N Clare

2014-04-01

25

Automation and quality in analytical laboratories  

SciTech Connect

After a brief introduction to the generic aspects of automation in analytical laboratories, the different approaches to quality in analytical chemistry are presented and discussed to establish the following different facets emerging from the combination of quality and automation: automated analytical control of quality of products and systems; quality control of automated chemical analysis; and improvement of capital (accuracy and representativeness), basic (sensitivity, precision, and selectivity), and complementary (rapidity, cost, and personnel factors) analytical features. Several examples are presented to demonstrate the importance of this marriage of convenience in present and future analytical chemistry. 7 refs., 4 figs.

Valcarcel, M.; Rios, A. [Univ. of Cordoba (Spain)

1994-05-01

26

Effect of leachate recirculation on landfill gas production and leachate quality: A controlled laboratory study  

SciTech Connect

This report summarizes the results of a laboratory study conducted during 1992-1994 at Argonne National Laboratory. The study examined biogas production and leachate chemistry in parallel anaerobic assays run under either leachate recycle or leachate drainage regimes over a period of 400 days. A standardized synthetic refuse (paper, grass, food) was used in an experimental design which evaluated two elevated moisture contents and two added soils. All assays were conducted in vitro in 125 mL serum bottles. Four recycle/drainage events were completed during the 400 days of this experiment. Sufficient replicates (10 or 20) for each trial were included in the experimental design to permit destructive sampling of assay solids after each recycle/drainage event. Changes in the chemistry of solid, liquid, and gaseous phases were evaluated during the decomposition process. Analyses included major gases (CH{sub 4}, CO{sub 2}, O{sub 2}, N{sub 2}), selected chemical constituents of leachate (Cl-C5 carboxylic acids, total organic carbon, Kjeldahl nitrogen, total phosphorus, iron, zinc, and chloride), leachate pH and conductivity, and selected solids analysis (gravimetric moisture content, volatile solids, total carbon, cellulose, hemicellulose, and lignin).

Bogner, J.; Spokas, K.

1995-05-01

27

Statistical Methods for Establishing Quality Control Ranges for Antibacterial Agents in Clinical and Laboratory Standards Institute Susceptibility Testing?  

PubMed Central

Quality control (QC) ranges for antimicrobial agents against QC strains for both dilution and disk diffusion testing are currently set by the Clinical and Laboratory Standards Institute (CLSI), using data gathered in predefined structured multilaboratory studies, so-called tier 2 studies. The ranges are finally selected by the relevant CLSI subcommittee, based largely on visual inspection and a few simple rules. We have developed statistical methods for analyzing the data from tier 2 studies and applied them to QC strain-antimicrobial agent combinations from 178 dilution testing data sets and 48 disk diffusion data sets, including a method for identifying possible outlier data from individual laboratories. The methods are based on the fact that dilution testing MIC data were log normally distributed and disk diffusion zone diameter data were normally distributed. For dilution testing, compared to QC ranges actually set by CLSI, calculated ranges were identical in 68% of cases, narrower in 7% of cases, and wider in 14% of cases. For disk diffusion testing, calculated ranges were identical to CLSI ranges in 33% of cases, narrower in 8% of cases, and 1 to 2 mm wider in 58% of cases. Possible outliers were detected in 8% of diffusion test data but none of the disk diffusion data. Application of statistical techniques to the analysis of QC tier 2 data and the setting of QC ranges is relatively simple to perform on spreadsheets, and the output enhances the current CLSI methods for setting of QC ranges. PMID:17438045

Turnidge, John; Bordash, Gerry

2007-01-01

28

Importance/performance analysis: a tool for service quality control by clinical laboratories.  

PubMed

A study of customer satisfaction with clinical laboratory service is used as the basis for identifying potential improvements in service and more effectively targeting marketing activities to enhance customer satisfaction. Data on customer satisfaction are used to determine the aspects of service most critical to customers, how well the organization is doing in delivery of service, and how consistent service delivery is. Importance-performance analysis is used to highlight areas for future resource reallocation and strategic emphasis. Suggestions include the establishment of performance guidelines for customer contact personnel, the enhancement of timely delivery of reports via electronic transmission (computer and fax), and the development of standardized graphics for request and report forms to facilitate identification of appropriate request forms and guide clients to key items of information on reports. PMID:10110443

Scammon, D L; Weiss, R

1991-01-01

29

Quality and safety aspects in histopathology laboratory.  

PubMed

Histopathology is an art of analyzing and interpreting the shapes, sizes and architectural patterns of cells and tissues within a given specific clinical background and a science by which the image is placed in the context of knowledge of pathobiology, to arrive at an accurate diagnosis. To function effectively and safely, all the procedures and activities of histopathology laboratory should be evaluated and monitored accurately. In histopathology laboratory, the concept of quality control is applicable to pre-analytical, analytical and post-analytical activities. Ensuring safety of working personnel as well as environment is also highly important. Safety issues that may come up in a histopathology lab are primarily those related to potentially hazardous chemicals, biohazardous materials, accidents linked to the equipment and instrumentation employed and general risks from electrical and fire hazards. This article discusses quality management system which can ensure quality performance in histopathology laboratory. The hazards in pathology laboratories and practical safety measures aimed at controlling the dangers are also discussed with the objective of promoting safety consciousness and the practice of laboratory safety. PMID:24574660

Adyanthaya, Soniya; Jose, Maji

2013-09-01

30

NCI-Frederick PHL - Quality Control  

Cancer.gov

An important aspect of our work is the Quality Control of the material before it is released from the laboratory. The Quality Control department microscopically reviews materials produced by the histology laboratory to ensure they meet or exceed PHL’s established level of excellence. Materials with any defect are returned to the laboratory to be repeated, at no additional cost to the investigator.

31

222-S laboratory quality assurance plan  

SciTech Connect

This document provides quality assurance guidelines and quality control requirements for analytical services. This document is designed on the basis of Hanford Analytical Services Quality Assurance Plan (HASQAP) technical guidelines and is used for governing 222-S and 222-SA analytical and quality control activities. The 222-S Laboratory provides analytical services to various clients including, but not limited to, waste characterization for the Tank Waste Remediation Systems (TWRS), waste characterization for regulatory waste treatment, storage, and disposal (TSD), regulatory compliance samples, radiation screening, process samples, and TPA samples. A graded approach is applied on the level of sample custody, QC, data verification, and data reporting to meet the specific needs of the client.

Meznarich, H.K.

1995-04-01

32

Quality Control Microbiologist  

NSDL National Science Digital Library

This video, presented by WGBH, takes a look at a day in the life of a quality control microbiologist at a pharmaceutical company and provides a detailed account of what is possible with a microbiology degree, including the hands-on laboratory aspects field. This video would be helpful for anyone interested in a degree in microbiology, as well as anyone that is currently earning a degree in this field but is still unsure about what to do with it. Educators will also find a background essay, discussion questions, and standards alignment for the material. Running time for the video is 2:38.

33

Evaluation of quality assurance/quality control data collected by the U.S. Geological Survey for water-quality activities at the Idaho National Engineering and Environmental Laboratory, Idaho, 1994 through 1995  

SciTech Connect

More than 4,000 water samples were collected by the US Geological Survey (USGS) from 179 monitoring sites for the water-quality monitoring program at the Idaho National Engineering Laboratory from 1994 through 1995. Approximately 500 of the water samples were replicate or blank samples collected for the quality assurance/quality control program. Analyses were performed to determine the concentrations of major ions, nutrients, trace elements, gross radioactivity and radionuclides, total organic carbon, and volatile organic compounds in the samples. To evaluate the precision of field and laboratory methods, analytical results of the replicate pairs of samples were compared statistically for equivalence on the basis of the precision associated with each result. In all, the statistical comparison of the data indicated that 95% of the replicate pairs were equivalent. Within the major ion analyses, 97% were equivalent; nutrients, 88%; trace elements, 95%; gross radioactivity and radionuclides, 93%; and organic constituents, 98%. Ninety percent or more of the analytical results for each constituent were equivalent, except for nitrite, orthophosphate, phosphorus, aluminum, iron, strontium-90, and total organic carbon.

Williams, L.M.

1997-03-01

34

Indoor Air Quality in Chemistry Laboratories.  

ERIC Educational Resources Information Center

This paper presents air quality and ventilation data from an existing chemical laboratory facility and discusses the work practice changes implemented in response to deficiencies in ventilation. General methods for improving air quality in existing laboratories are presented and investigation techniques for characterizing air quality are…

Hays, Steve M.

35

THE DATABASE AN ELECTRONIC ENHANCEMENT TO LABORATORY QUALITY ASSURANCE  

Technology Transfer Automated Retrieval System (TEKTRAN)

The Quality Control program of an analytical laboratory is a key component in support of a research or compliance laboratory because it provides objective evidence for certified results. The recent addition of a customized, computerized database to our analytical laboratory has improved many aspect...

36

Evaluation of quality assurance/quality control data collected by the US Geological Survey for water-quality activities at the Idaho National Engineering Laboratory, Idaho, 1989 through 1993  

SciTech Connect

Hundreds of water samples were collected by the US Geological Survey (USGS) from 177 monitoring sites for the water quality monitoring program at the Idaho National Engineering Laboratory from 1989 through 1993. Concurrently, replicate pairs of samples and various types of blank samples were collected as part of the quality assurance/quality control program. Analyses were performed to determine the concentrations of major ions, nutrients, trace elements, gross radioactivity and radionuclides, organic compounds, and total organic carbon in the samples. To evaluate the precision of field and laboratory methods, analytical results of the replicate pairs of samples were compared statistically for equivalence on the basis of the precision associated with each result. Ninety percent or more of the analytical results for each constituent were equivalent, except for ammonia plus organic nitrogen, orthophosphate, iron, manganese, radium-226, total organic carbon, and total phenols. Blank-sample analytical results indicated that the inorganic-free blank water from the USGS Quality of Water Service Unit and the deionized water from the USGS Idaho Falls Field Office were suitable source solutions for blanks. Waters from other sources were found to be unsatisfactory as blank source solutions. Results of the analyses of several equipment blanks were evaluated to determine if a bias had been introduced and the possible sources of the bias. All of the equipment blank analytical results indicated that ammonia concentrations were greater than the reporting level. None of the equipment blanks had measurable concentrations of radioactivity. Eight percent of the analyses for inorganic constituents showed measurable concentrations were present in the blanks, nine percent for radioactive constituents, and less than one percent for organic constituents.

Williams, L.M.

1996-06-01

37

21 CFR 640.56 - Quality control test for potency.  

Code of Federal Regulations, 2011 CFR

...Cryoprecipitate § 640.56 Quality control test for potency. (a) Quality control tests...Administration. (c) The quality control test for...Clinical Laboratories Improvement Amendments of...Biologics Evaluation and Research, Food and...

2011-04-01

38

21 CFR 640.56 - Quality control test for potency.  

Code of Federal Regulations, 2012 CFR

...Cryoprecipitate § 640.56 Quality control test for potency. (a) Quality control tests...Administration. (c) The quality control test for...Clinical Laboratories Improvement Amendments of...Biologics Evaluation and Research, Food and...

2012-04-01

39

21 CFR 640.56 - Quality control test for potency.  

Code of Federal Regulations, 2014 CFR

...Cryoprecipitate § 640.56 Quality control test for potency. (a) Quality control tests...Administration. (c) The quality control test for...Clinical Laboratories Improvement Amendments of...Biologics Evaluation and Research, Food and...

2014-04-01

40

21 CFR 640.56 - Quality control test for potency.  

Code of Federal Regulations, 2013 CFR

...Cryoprecipitate § 640.56 Quality control test for potency. (a) Quality control tests...Administration. (c) The quality control test for...Clinical Laboratories Improvement Amendments of...Biologics Evaluation and Research, Food and...

2013-04-01

41

21 CFR 640.56 - Quality control test for potency.  

Code of Federal Regulations, 2010 CFR

...Cryoprecipitate § 640.56 Quality control test for potency. (a) Quality control tests...Administration. (c) The quality control test for...Clinical Laboratories Improvement Amendments of...Biologics Evaluation and Research, Food and...

2010-04-01

42

The effect of empowerment on the self-efficacy, quality of life and clinical and laboratory indicators of patients treated with hemodialysis: a randomized controlled trial  

PubMed Central

Background Hemodialysis patients face numerous physical and psychological stresses that result in reduced health. The aim of this study is to determine the impact of an empowerment program on self-efficacy, quality of life, clinical indicators of blood pressure and interdialytic weight gain, and laboratory results in these patients. Methods This randomized, controlled trial was conducted at Boo Ali Sina Dialysis Center, Shiraz, Iran. A total of 48 hemodialysis patients participated in this study. After acquisition of informed consent, eligible patients were randomly divided into two groups, control and experimental. Pre-test data were obtained by using a demographic data form and two questionnaires for self-efficacy and quality of life. Blood pressure and interdialytic weight gain were measured. We extracted laboratory data from patients’ charts. A six-week empowerment intervention that included four individual and two group counselling sessions was performed for the experimental group. Six weeks after intervention, post-test data were obtained from both groups in the same manner as the pre-test. Data were analyzed by ANCOVA using SPSS v11.5. Results There were no statistically significant differences in demographic variables between the groups. Pre-test mean scores for self-efficacy, quality of life, blood pressure, interdialytic weight gain and laboratory results did not differ between the groups. There was a significant difference between the experimental and control groups in terms of pre-to post-intervention changes in overall self-efficacy scores, stress reduction, and decision making, in addition to overall quality of life and all dimensions included within quality of life based on this questionnaire. Additionally, the pre- to post-intervention changes in systolic/diastolic blood pressures, interdialytic weight gain, hemoglobin and hematocrit levels significantly differed between the groups. Conclusion Our study demonstrates that a combination of individual and group empowerment counselling sessions improves self-efficacy, quality of life, clinical signs, and hemoglobin and hematocrit levels in hemodialysis patients. Empowerment of hemodialysis patients should be considered in hemodialysis centers to assist patients with the management of their health-related problems. Trial registration Irct ID: IRCT138901172621N4 PMID:22992449

2012-01-01

43

1990 National Water Quality Laboratory Services Catalog  

USGS Publications Warehouse

PREFACE This catalog provides information about analytical services available from the National Water Quality Laboratory (NWQL) to support programs of the Water Resources Division of the U.S. Geological Survey. To assist personnel in the selection of analytical services, the catalog lists cost, sample volume, applicable concentration range, detection level, precision of analysis, and preservation techniques for samples to be submitted for analysis. Prices for services reflect operationa1 costs, the complexity of each analytical procedure, and the costs to ensure analytical quality control. The catalog consists of five parts. Part 1 is a glossary of terminology; Part 2 lists the bottles, containers, solutions, and other materials that are available through the NWQL; Part 3 describes the field processing of samples to be submitted for analysis; Part 4 describes analytical services that are available; and Part 5 contains indices of analytical methodology and Chemical Abstract Services (CAS) numbers. Nomenclature used in the catalog is consistent with WATSTORE and STORET. The user is provided with laboratory codes and schedules that consist of groupings of parameters which are measured together in the NWQL. In cases where more than one analytical range is offered for a single element or compound, different laboratory codes are given. Book 5 of the series 'Techniques of Water Resources Investigations of the U.S. Geological Survey' should be consulted for more information about the analytical procedures included in the tabulations. This catalog supersedes U.S. Geological Survey Open-File Report 86-232 '1986-87-88 National Water Quality Laboratory Services Catalog', October 1985.

Pritt, Jeffrey, (Edited By); Jones, Berwyn E.

1989-01-01

44

Inclusion of Quality Controls on Leishmaniases Molecular Tests to Increase Diagnostic Accuracy in Research and Reference Laboratories.  

PubMed

Early detection of leishmaniases and prompt institution of treatment are paramount for individuals and communities affected by these diseases. To overcome the remaining limitations inherent to molecular methods currently used and to ensure the accuracy of results in leishmaniases diagnosis, two triplex polymerase chain reaction (PCR) assays with quality controls for the reactions were developed. Validity indicators were assessed in 186 dog blood samples from endemic areas in Brazil. The level of agreement between the new tools and their singleplex protocols was assessed by kappa analysis. The triplex PCR for visceral leishmaniasis showed sensitivity (S) = 78.68 %, specificity (E) = 85.29 %, and efficiency (e) = 81.05 %. The cutaneous leishmaniasis protocol showed S = 97.29 %, E = 79.16 %, and e = 90.16 %. Both protocols showed good agreement with gold standards. These new tools enable, in a single reaction, the diagnosis of the diseases and the evaluation of the sample quality and DNA extraction process, thus reducing the cost of reagents and avoiding the eventual need for collecting a second sample. PMID:25428552

da C Gonçalves-de-Albuquerque, Suênia; Pessoa-E-Silva, Rômulo; Trajano-Silva, Lays A M; de Morais, Rayana C S; Brandão-Filho, Sinval P; de Paiva-Cavalcanti, Milena

2014-11-27

45

Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory; processing, taxonomy, and quality control of benthic macroinvertebrate samples  

USGS Publications Warehouse

Qualitative and quantitative methods to process benthic macroinvertebrate (BMI) samples have been developed and tested by the U.S. Geological Survey?s National Water Quality Laboratory Biological Group. The qualitative processing method is based on visually sorting a sample for up to 2 hours. Sorting focuses on attaining organisms that are likely to result in taxonomic identifications to lower taxonomic levels (for example, Genus or Species). Immature and damaged organisms are also sorted when they are likely to result in unique determinations. The sorted sample remnant is scanned briefly by a second person to determine if obvious taxa were missed. The quantitative processing method is based on a fixed-count approach that targets some minimum count, such as 100 or 300 organisms. Organisms are sorted from randomly selected 5.1- by 5.1-centimeter parts of a gridded subsampling frame. The sorted remnant from each sample is resorted by a second individual for at least 10 percent of the original sort time. A large-rare organism search is performed on the unsorted remnant to sort BMI taxa that were not likely represented in the sorted grids. After either qualitatively or quantitatively sorting the sample, BMIs are identified by using one of three different types of taxonomic assessment. The Standard Taxonomic Assessment is comparable to the U.S. Environmental Protection Agency Rapid Bioassessment Protocol III and typically provides Genus- or Species-level taxonomic resolution. The Rapid Taxonomic Assessment is comparable to the U.S. Environmental Protection Agency Rapid Bioassessment Protocol II and provides Familylevel and higher taxonomic resolution. The Custom Taxonomic Assessment provides Species-level resolution whenever possible for groups identified to higher taxonomic levels by using the Standard Taxonomic Assessment. The consistent use of standardized designations and notes facilitates the interpretation of BMI data within and among water-quality studies. Taxonomic identifications are quality assured by verifying all referenced taxa and randomly reviewing 10 percent of the taxonomic identifications performed weekly by Biological Group taxonomists. Taxonomic errors discovered during this review are corrected. BMI data are reviewed for accuracy and completeness prior to release. BMI data are released phylogenetically in spreadsheet format and unprocessed abundances are corrected for laboratory and field subsampling when necessary.

Moulton, Stephen R., II; Carter, James L.; Grotheer, Scott A.; Cuffney, Thomas F.; Short, Terry M.

2000-01-01

46

Evaluation of Quality-Assurance/Quality-Control Data Collected by the U.S. Geological Survey from Wells and Springs between the Southern Boundary of the Idaho National Engineering and Environmental Laboratory and the Hagerman Area, Idaho, 1989 through 1995  

SciTech Connect

The U.S. Geological (USGS) and the Idaho Department of Water Resources, in cooperation with the U.S. Department of Energy, collected and analyzed water samples to monitor the water quality of the Snake River Plain aquifer from the southern boundary of the Idaho National Engineering and Environmental Laboratory to the Hagerman area, Idaho. Concurrently, replicate samples and blank samples were collected and analyzed as part of the quality-assurance/quality-control program. Samples were analyzed from inorganic constituents, gross radioactivity and radionuclides, organic constituents, and stable isotopes. To evaluate the precision of field and laboratory methods, analytical results of the water-quality and replicate samples were compared statistically for equivalence on the basis of the precision associated with each result. Statistical comparisons of the data indicated that 95 percent of the results of the replicate pairs were equivalent. Blank-sample analytical results indicated th at the inorganic blank water and volatile organic compound blank water from the USGS National Water Quality Laboratory and the distilled water from the Idaho Department of Water Resources were suitable for blanks; blank water from other sources was not. Equipment-blank analytical results were evaluated to determine if a bias had been introduced and possible sources of bias. Most equipment blanks were analyzed for trace elements and volatile organic compounds; chloroform was found in one equipment blank. Two of the equipment blanks were prepared after collection and analyses of the water-quality samples to determine whether contamination had been introduced during the sampling process. Results of one blank indicated that a hose used to divert water away from pumps and electrical equipment had contaminated the samples with some volatile organic compounds. Results of the other equipment blank, from the apparatus used to filter dissolved organic carbon samples, indicated that the filtering apparatus did not affect water-quality samples.

Williams, L.M.; Bartholomay, R.C.; Campbell, L.J.

1998-10-01

47

QUALITY CONTROL - VARIABILITY IN PROTOCOLS  

EPA Science Inventory

The EPA Risk Reduction Engineering Laboratory?s Quality Assurance Office, which published the popular pocket guide Preparing Perfect Project Plans, is now introducing another quality assurance reference aid. The document Variability in Protocols (VIP) was initially designed as a ...

48

Quality control tests of lab-reared Cydia pomonella and Cactoblastis cactorum field performance: Comparison of laboratory and field bioassays.  

Technology Transfer Automated Retrieval System (TEKTRAN)

Research, operational, and commercial programs which rely on mass-reared insects of high quality and performance, need accurate methods for monitoring quality degradation during each step of production, handling and release. With continued interest in the use of the sterile insect technique (SIT) a...

49

John Lygeros Automatic Control Laboratory  

E-print Network

International, Menlo Park, California Research Engineer (part time), Applied Physical Sciences Laboratory May Research Laboratories June 1988 - July 1988: Hellenic Aspropyrgos Refinery, Greece Intern Honors and AwardsJohn Lygeros ETH Zurich Automatic Control Laboratory ETL I 22, Physikstrasse 3 CH-8092 Zurich

Lygeros, John

50

Innovation expedition. As the CMS gears up its new laboratory for payment and quality control, excitement is mixed with anxiety.  

PubMed

As the CMS prepares to launch its center for innovation, there's both excitement and apprehension. The center holds the promise of crafting bold improvements for payment systems and quality of care. "As long as there is the promise of long-term cost savings and quality improvement, they have the authority to say, 'We found something that works and we want to do it more broadly,' "says Stuart Guterman, left, of the Commonwealth Fund. PMID:20575221

McKinney, Maureen

2010-06-14

51

222-S Laboratory Quality Assurance Plan. Revision 1  

SciTech Connect

This Quality Assurance Plan provides,quality assurance (QA) guidance, regulatory QA requirements (e.g., 10 CFR 830.120), and quality control (QC) specifications for analytical service. This document follows the U.S Department of Energy (DOE) issued Hanford Analytical Services Quality Assurance Plan (HASQAP). In addition, this document meets the objectives of the Quality Assurance Program provided in the WHC-CM-4-2, Section 2.1. Quality assurance elements required in the Guidelines and Specifications for Preparing Quality Assurance Program Plans (QAMS-004) and Interim Guidelines and Specifications for Preparing Quality Assurance Project Plans (QAMS-005) from the US Environmental Protection Agency (EPA) are covered throughout this document. A quality assurance index is provided in the Appendix A. This document also provides and/or identifies the procedural information that governs laboratory operations. The personnel of the 222-S Laboratory and the Standards Laboratory including managers, analysts, QA/QC staff, auditors, and support staff shall use this document as guidance and instructions for their operational and quality assurance activities. Other organizations that conduct activities described in this document for the 222-S Laboratory shall follow this QA/QC document.

Meznarich, H.K.

1995-07-31

52

[Quality assurance, quality management or quality control?].  

PubMed

The current concept of quality in the German health care system dates back to the period of the 1950s and 1960s, also including current legislation. Nevertheless, quality initiatives are in full progress. The German health care system is supposed to learn from experiences described in the fields of industry, technology and commerce. The philosophy and technology of quality management can provide an ideal solution to the common problems of the health care system. PMID:14710661

Jonitz, Günther

2003-11-01

53

Quality Control Technician.  

ERIC Educational Resources Information Center

This document contains 18 units to consider for use in a tech prep competency profile for the occupation of quality control technician. All the units listed will not necessarily apply to every situation or tech prep consortium, nor will all the competencies within each unit be appropriate. Several units appear within each specific occupation and…

Ohio State Univ., Columbus. Center on Education and Training for Employment.

54

Control Systems Engineering Laboratory Daniel E. Rivera  

E-print Network

Control Systems Engineering Laboratory CSEL Daniel E. Rivera Control Systems Engineering Laboratory Behavioral Interventions 1 #12;Control Systems Engineering Laboratory CSEL Presentation Outline · What are adaptive behavioral interventions? · (Brief) overview of control systems engineering, · Analysis and design

Langerhans, Brian

55

LABCON - Laboratory Job Control program  

NASA Technical Reports Server (NTRS)

Computer program LABCON controls the budget system in a component test laboratory whose workload is made up from many individual budget allocations. A common denominator is applied to an incoming job, to which all effort is charged and accounted for.

Reams, L. T.

1969-01-01

56

National Water Quality Laboratory, 1994 services catalog  

USGS Publications Warehouse

This Services Catalog contains information about field supplies and analytical services available from the National Water Quality Laboratory in Denver, Colo., and field supplies available from the Quality Water Service Unit in Ocala, Fla., to members of the U.S. Geological Survey's Water Resources Division. To assist personnel in the selection of analytical services, this catalog lists sample volume, applicable concentration range, detection level, precision of analysis, and preservation requirements for samples. (USGS)

Timme, P.J.

1994-01-01

57

National Water Quality Laboratory, 1995 services catalog  

USGS Publications Warehouse

This Services Catalog contains information about field supplies and analytical services available from the National Water Quality Laboratory in Denver, Colo., and field supplies available from the Quality Water Service Unit in Ocala, Fla., to members of the U.S. Geological Survey. To assist personnel in the selection of analytical services, this catalog lists sample volume, required containers, applicable concentration range, detection level, precision of analysis, and preservation requirements for samples.

Timme, P.J.

1995-01-01

58

Distribution of U and REE on colloids in granitic groundwater and quality-controlled sampling at the Mizunami underground research laboratory  

NASA Astrophysics Data System (ADS)

Colloids and their association with analogue elements, uranium, and rare earth elements (REEs), in deep granitic groundwater were investigated at the Mizunami Underground Research Laboratory (MIU). Groundwater was sampled from underground boreholes and gallery walls, and the colloids were separated by size-fractionated ultrafiltration (pore sizes, 0.2 ?m, 10 kDa, and 1 kDa). For the groundwater sampled from fractures in excavation walls, the size-fractionated concentrations of the colloid-forming elements were approximately constant relative to different size fractions (0.2 ?m, 200 kDa, 50 kDa, and 10 kDa). The contamination of Fe- and Al-bearing materials was insignificant in the filtered groundwater from fracture seepages. Changes in the concentrations of U in the groundwater sampled from boreholes and excavation walls were associated with the Al-bearing colloids, Fe-bearing colloids, and organic matter. The REE-bearing material(s) that were >0.2 ?m in size were mobile in the deep granitic groundwater, rather than occurring in association with Al-bearing, Fe-bearing colloids, and organic matter. It is suggested that sampling from water-conducting fractures in host rock and colloid elimination in borehole are important components of water quality control in geochemical investigations.

Munemoto, Takashi; Ohmori, Kazuaki; Iwatsuki, Teruki

2014-12-01

59

[The network of official medicines control laboratories].  

PubMed

Licensing, control and surveillance by competent authorities is the basis for ensuring efficacy, safety and quality of medicines in Europe. The control of the quality of medicines by national control laboratories, known as Official Medicines Control Laboratories (OMCLs) is an essential step in this process; it encompasses controls before and after granting a marketing authorisation. For certain groups of biomedical medicines (vaccines for human and veterinary use, medicines derived from human plasma) even each batch is controlled before it can be placed on the market. As single OMCLs would not be able to cope with their task, given the large number and diversity of medicines, in 1994 the OMCL network was founded upon initiative of the European Directorate for the Quality of Medicines & HealthCare, in close collaboration with the Commission of the European Union. Currently 68 OMCLs from 39 countries are part of the network. Prerequisite for the smooth operation of the OMCL network is the harmonisation of the quality management system of the individual OMCLs, based on the ISO 17025 standard, internal guidelines and the European Pharmacopoeia. Compliance with these standards is checked through regular audits, thus creating the basis for mutual recognition of test results. The collaboration in the OMCL network for the surveillance of the medicines market, the official control authority batch release and the fight against counterfeiting and illegal medicines enables OMCLs to keep pace with the developments in the field of medicines and to control the broad spectrum of medicines. In the 20 years since its start, the OMCL network has become a European success story. PMID:25192832

Buchheit, K-H; Wanko, R

2014-10-01

60

The Albuquerque Seismological Laboratory Data Quality Analyzer  

NASA Astrophysics Data System (ADS)

The U.S. Geological Survey's Albuquerque Seismological Laboratory (ASL) has several efforts underway to improve data quality at its stations. The Data Quality Analyzer (DQA) is one such development. The DQA is designed to characterize station data quality in a quantitative and automated manner. Station quality is based on the evaluation of various metrics, such as timing quality, noise levels, sensor coherence, and so on. These metrics are aggregated into a measurable grade for each station. The DQA consists of a website, a metric calculator (Seedscan), and a PostgreSQL database. The website allows the user to make requests for various time periods, review specific networks and stations, adjust weighting of the station's grade, and plot metrics as a function of time. The website dynamically loads all station data from a PostgreSQL database. The database is central to the application; it acts as a hub where metric values and limited station descriptions are stored. Data is stored at the level of one sensor's channel per day. The database is populated by Seedscan. Seedscan reads and processes miniSEED data, to generate metric values. Seedscan, written in Java, compares hashes of metadata and data to detect changes and perform subsequent recalculations. This ensures that the metric values are up to date and accurate. Seedscan can be run in a scheduled task or on demand by way of a config file. It will compute metrics specified in its configuration file. While many metrics are currently in development, some are completed and being actively used. These include: availability, timing quality, gap count, deviation from the New Low Noise Model, deviation from a station's noise baseline, inter-sensor coherence, and data-synthetic fits. In all, 20 metrics are planned, but any number could be added. ASL is actively using the DQA on a daily basis for station diagnostics and evaluation. As Seedscan is scheduled to run every night, data quality analysts are able to then use the website to diagnose changes in noise levels or other anomalous data. This allows for errors to be corrected quickly and efficiently. The code is designed to be flexible for adding metrics and portable for use in other networks. We anticipate further development of the DQA by improving the existing web-interface, adding more metrics, adding an interface to facilitate the verification of historic station metadata and performance, and an interface to allow better monitoring of data quality goals.

Ringler, A. T.; Hagerty, M.; Holland, J.; Gee, L. S.; Wilson, D.

2013-12-01

61

Quality for Productivity through Quality Control Circles.  

ERIC Educational Resources Information Center

Describes two Malaysian organizations that the government has appointed to spearhead the dissemination of the QCC (quality control circles) concept and activities: The National Productivity Center and the National Institute of Public Administration. The author also examines the basic concepts of the QCC in Malaysia. (CT)

Khatib, Ruslan Bin

1985-01-01

62

Aerospace Materials Quality Control Presentation  

NSDL National Science Digital Library

This PowerPoint document from the Aerospace Manufacturing Education Project looks into the topic of quality control of materials used in the aerospace industry. The presentation includes 27 slides and covers why quality control is important in this field. It also includes details about aerospace QC teams and techniques, including non-destructive testing.

2012-11-16

63

Reducing Communication Delays and Improving Quality of Care with a Tuberculosis Laboratory Information System in Resource Poor Environments: A Cluster Randomized Controlled Trial  

PubMed Central

Background Lost, delayed or incorrect laboratory results are associated with delays in initiating treatment. Delays in treatment for Multi-Drug Resistant Tuberculosis (MDR-TB) can worsen patient outcomes and increase transmission. The objective of this study was to evaluate the impact of a laboratory information system in reducing delays and the time for MDR-TB patients to culture convert (stop transmitting). Methods Setting: 78 primary Health Centers (HCs) in Lima, Peru. Participants lived within the catchment area of participating HCs and had at least one MDR-TB risk factor. The study design was a cluster randomized controlled trial with baseline data. The intervention was the e-Chasqui web-based laboratory information system. Main outcome measures were: times to communicate a result; to start or change a patient's treatment; and for that patient to culture convert. Results 1671 patients were enrolled. Intervention HCs took significantly less time to receive drug susceptibility test (DST) (median 11 vs. 17 days, Hazard Ratio 0.67 [0.62–0.72]) and culture (5 vs. 8 days, 0.68 [0.65–0.72]) results. The time to treatment was not significantly different, but patients in intervention HCs took 16 days (20%) less time to culture convert (p?=?0.047). Conclusions The eChasqui system reduced the time to communicate results between laboratories and HCs and time to culture conversion. It is now used in over 259 HCs covering 4.1 million people. This is the first randomized controlled trial of a laboratory information system in a developing country for any disease and the only study worldwide to show clinical impact of such a system. Trial Registration ClinicalTrials.gov NCT01201941 PMID:24721980

Blaya, Joaquín A.; Shin, Sonya S.; Yagui, Martin; Contreras, Carmen; Cegielski, Peter; Yale, Gloria; Suarez, Carmen; Asencios, Luis; Bayona, Jaime; Kim, Jihoon; Fraser, Hamish S. F.

2014-01-01

64

Quality control on the frontier  

PubMed Central

In the world of high-throughput sequencing there are numerous challenges to effective data quality control. There are no single quality metrics which are appropriate in all conditions. Here we detail the different open source software used at the Exeter Sequencing Service to provide generic quality control information, as well as more specific metrics for genomic and transcriptomic libraries run on Illumina platforms. PMID:24904650

Paszkiewicz, Konrad H.; Farbos, Audrey; O'Neill, Paul; Moore, Karen

2014-01-01

65

Cost Effectiveness of Adopted Quality Requirements in Hospital Laboratories  

PubMed Central

Background The present study was designed in quasi-experiment to assess adoption of the essential clauses of particular clinical laboratory quality management requirements based on international organization for standardization (ISO 15189) in hospital laboratories and to evaluate the cost effectiveness of compliance to ISO 15189. Methods: The quality management intervention based on ISO 15189 was conceded through three phases; pre – intervention phase, Intervention phase and Post-intervention phase. Results: In pre-intervention phase the compliance to ISO 15189 was 49% for study group vs. 47% for control group with P value 0.48, while the post intervention results displayed 54% vs. 79% for study group and control group respectively in compliance to ISO 15189 and statistically significant difference (P value 0.00) with effect size (Cohen’s d) of (0.00) in pre-intervention phase and (0.99) in post – intervention phase. The annual average cost per-test for the study group and control group was 1.80 ± 0.25 vs. 1.97 ± 0.39, respectively with P value 0.39 whereas the post-intervention results showed that the annual average total costs per-test for study group and control group was 1.57 ± 0.23 vs 2.08 ± 0.38, P value 0.019 respectively, with cost-effectiveness ratio of (0.88) in pre -intervention phase and (0.52) in post-intervention phase. Conclusion: The planned adoption of quality management requirements (QMS) in clinical laboratories had great effect to increase the compliance percent with quality management system requirement, raise the average total cost effectiveness, and improve the analytical process capability of the testing procedure. PMID:23967422

HAMZA, Alneil; AHMED-ABAKUR, Eltayib; ABUGROUN, Elsir; BAKHIT, Siham; HOLI, Mohamed

2013-01-01

66

Method of Analysis by the U.S. Geological Survey California District Sacramento Laboratory?Determination of Trihalomethane Formation Potential, Method Validation, and Quality-Control Practices  

USGS Publications Warehouse

An analytical method for the determination of the trihalomethane formation potential of water samples has been developed. The trihalomethane formation potential is measured by dosing samples with chlorine under specified conditions of pH, temperature, incubation time, darkness, and residual-free chlorine, and then analyzing the resulting trihalomethanes by purge and trap/gas chromatography equipped with an electron capture detector. Detailed explanations of the method and quality-control practices are provided. Method validation experiments showed that the trihalomethane formation potential varies as a function of time between sample collection and analysis, residual-free chlorine concentration, method of sample dilution, and the concentration of bromide in the sample.

Crepeau, Kathryn L.; Fram, Miranda S.; Bush, Noel

2004-01-01

67

QUALITY ASSURANCE IN RESEARCH LABORATORIES: RULES AND REASON  

EPA Science Inventory

Quality Assurance in Research Laboratories: Rules and Reason Ron Rogers, Quality Assurance and Records Manager, Environmental Carcinogenesis Division, NHEERL/ORD/US EPA, Research Triangle Park, NC, 27709 To anyone who has actively participated in research, as I have...

68

Method of analysis at the U.S. Geological Survey California Water Science Center, Sacramento Laboratory - determination of haloacetic acid formation potential, method validation, and quality-control practices  

USGS Publications Warehouse

An analytical method for the determination of haloacetic acid formation potential of water samples has been developed by the U.S. Geological Survey California Water Science Center Sacramento Laboratory. The haloacetic acid formation potential is measured by dosing water samples with chlorine under specified conditions of pH, temperature, incubation time, darkness, and residual-free chlorine. The haloacetic acids formed are bromochloroacetic acid, bromodichloroacetic acid, dibromochloroacetic acid, dibromoacetic acid, dichloroacetic acid, monobromoacetic acid, monochloroacetic acid, tribromoacetic acid, and trichloroacetic acid. They are extracted, methylated, and then analyzed using a gas chromatograph equipped with an electron capture detector. Method validation experiments were performed to determine the method accuracy, precision, and detection limit for each of the compounds. Method detection limits for these nine haloacetic acids ranged from 0.11 to 0.45 microgram per liter. Quality-control practices include the use of blanks, quality-control samples, calibration verification standards, surrogate recovery, internal standard, matrix spikes, and duplicates.

Zazzi, Barbara C.; Crepeau, Kathryn L.; Fram, Miranda S.; Bergamaschi, Brian A.

2005-01-01

69

[Quality control for trace elements in occupational and environmental medicine].  

PubMed

The adoption of procedures warranting the quality of the results obtained in the laboratory is of the utmost importance, whatever the reason these analyses are required for. We discuss some of the fundamentals of quality assurance, as recommended by the International Federation of Clinical Chemistry, IFCC. Procedures for the preparation of control and calibration materials, the evaluation of analytical methods and the assessment of laboratory performance by means of internal quality control procedures, including control charts, are reviewed. Finally, we report the organisation and the strategies use in programmes for external quality assurance for the determination of trace elements in biological fluids. PMID:8561388

Morisi, G; Patriarca, M; Menditto, A

1995-01-01

70

Quality control in tile production  

NASA Astrophysics Data System (ADS)

This work studies visual quality control in ceramics industry. In tile manufacturing, it is important that in each set of tiles, every single tile looks similar. For example, the tiles should have similar color and texture. Our goal is to design a machine vision system that can estimate the sufficient similarity or same appearance to the human eye. Currently, the estimation is usually done by human vision. Differing from other approaches our aim is to use accurate spectral representation of color, and we are comparing spectral features to the RGB color features. A laboratory system for color measurement is built. Experimentations with five classes of brown tiles are presented. We use chromaticity RGB features and several spectral features for classification with the k-NN classifier and with a neural network, called Self-Organizing Map. We can classify many of the tiles but there are several problems that need further investigations: larger training and test sets are needed, illuminations effects must be studied further, and more suitable spectral features are needed with more sophisticated classifiers. It is also interesting to develop further the neural approach.

Kalviainen, Heikki A.; Kukkonen, Saku; Hyvarinen, Timo S.; Parkkinen, Jussi P. S.

1998-10-01

71

Quality Assurance as Pedagogy for Academic Forensic Anthropology Laboratories  

Microsoft Academic Search

A surety-based quality assurance program is the hallmark of an efficient and reliable forensic laboratory, as well as a basic requirement for accreditation and\\/or certification. Most forensic laboratories are staffed by professional scientists who have completed their education and training. However, many, if not most, forensic anthropology laboratories are placed in academic institutions in which graduate education is a primary

Michael W. Warren; Traci Van Deest; Kristina Ballard

2011-01-01

72

The quintessence of quality in the clinical laboratory.  

PubMed

Providing quality service is the goal of laboratory managers. The quintessence of clinical laboratory quality is the provision of an appropriate service--either medical information or some other service--that can be shown to measurably satisfy a patient's medical need and can be tied to patient outcome. Traditional quality measures, such as laboratory inspections and proficiency testing surveys as used by CLIA'88, are not the optimal yardsticks to apply. More effective programs are needed, such as the CAP's Q-Probes, that link laboratory operations with documented desired patient outcome. Only when a laboratory can define quality in a way that allows it to be quantitatively assessed in terms of patient care can it really know if it is providing optimal service. PMID:10143167

Armbruster, D A

1995-01-01

73

Local manufacturer of drug and dietary supplements is looking for a well qualified laboratory technician/ quality control technician. This person will be responsible for all aspects of material  

E-print Network

Local manufacturer of drug and dietary supplements is looking for a well qualified laboratory in a manufacturing facility of drug and dietary supplements. 3) Knowledge of cGMP's in accordance to CFR 111 and 211

Sorin, Eric J.

74

New laboratory tools in the assessment of bone quality  

Microsoft Academic Search

Bone quality is a complex set of intricated and interdependent factors that influence bone strength. A number of methods have\\u000a emerged to measure bone quality, taking into account the organic or the mineral phase of the bone matrix, in the laboratory.\\u000a Bone quality is a complex set of different factors that are interdependent. The bone matrix organization can be described

D. Chappard; M. F. Baslé; E. Legrand; M. Audran

2011-01-01

75

Approaches to quality management and accreditation in a genetic testing laboratory  

PubMed Central

Medical laboratories, and specifically genetic testing laboratories, provide vital medical services to different clients: clinicians requesting a test, patients from whom the sample was collected, public health and medical-legal instances, referral laboratories and authoritative bodies. All expect results that are accurate and obtained in an efficient and effective manner, within a suitable time frame and at acceptable cost. There are different ways of achieving the end results, but compliance with International Organization for Standardization (ISO) 15189, the international standard for the accreditation of medical laboratories, is becoming progressively accepted as the optimal approach to assuring quality in medical testing. We present recommendations and strategies designed to aid genetic testing laboratories with the implementation of a quality management system, including key aspects such as document control, external quality assessment, internal quality control, internal audit, management review, validation, as well as managing the human side of change. The focus is on pragmatic approaches to attain the levels of quality management and quality assurance required for accreditation according to ISO 15189, within the context of genetic testing. Attention is also given to implementing efficient and effective quality improvement. PMID:20720559

Berwouts, Sarah; Morris, Michael A; Dequeker, Elisabeth

2010-01-01

76

Research of data quality control based on quality grading  

NASA Astrophysics Data System (ADS)

To solve the problem of data quality in data warehouse, the process of data stream in data warehouse and the factors influencing data quality were analyzed; a method for controlling data quality based on quality grading was proposed and the frame of data quality grading system was established. In each process of ETL, the data quality grading system would execute script to calculate values, such as total, component and standard measures in accordance with the definition of Unit Measure, so as to get representation indexes; and then the quality report would be generated according to the indexes and the quality would be graded. The method is applicable to various data warehouse systems.

Liu, Shuang Hong; Yu, Jian Guo; Yu, Yong Ling

2011-12-01

77

Research of data quality control based on quality grading  

NASA Astrophysics Data System (ADS)

To solve the problem of data quality in data warehouse, the process of data stream in data warehouse and the factors influencing data quality were analyzed; a method for controlling data quality based on quality grading was proposed and the frame of data quality grading system was established. In each process of ETL, the data quality grading system would execute script to calculate values, such as total, component and standard measures in accordance with the definition of Unit Measure, so as to get representation indexes; and then the quality report would be generated according to the indexes and the quality would be graded. The method is applicable to various data warehouse systems.

Liu, Shuang Hong; Yu, Jian Guo; Yu, Yong Ling

2012-01-01

78

Using statistical quality control techniques to monitor blood glucose levels.  

PubMed Central

Continuous Quality Improvement techniques developed in industry are increasingly being applied to the medical field. Statistical process control charts are a CQI technique aimed at monitoring a process and its variability. At our hospital, statistical quality control charts are being constructed from laboratory blood glucose measurements of patients receiving enteral or parenteral nutrition. The charts will be used to monitor glucose levels, reveal variations, and illustrate the effects of new protocols designed to manage glucose levels. PMID:8563353

Oniki, T. A.; Clemmer, T. P.; Arthur, L. K.; Linford, L. H.

1995-01-01

79

Quality management systems for your in vitro fertilization clinic's laboratory: Why bother?  

PubMed Central

Several countries have in recent years introduced prescribed requirements for treatment and monitoring of outcomes, as well as a licensing or accreditation requirement for in vitro fertilization (IVF) clinics and their laboratories. It is commonplace for Assisted Reproductive Technology (ART) laboratories to be required to have a quality control system. However, more effective Total Quality Management systems are now being implemented by an increasing number of ART clinics. In India, it is now a requirement to have a quality management system in order to be accredited and to help meet customer demand for improved delivery of ART services. This review contains the proceedings a quality management session at the Indian Fertility Experts Meet (IFEM) 2010 and focuses on the creation of a patient-oriented best-in-class IVF laboratory. PMID:23869142

Olofsson, Jan I; Banker, Manish R; Sjoblom, Late Peter

2013-01-01

80

Analytical Chemistry Laboratory Quality Assurance Project Plan for the Transuranic Waste Characterization Program  

SciTech Connect

This Quality Assurance Project Plan (QAPJP) specifies the quality of data necessary and the characterization techniques employed at the Idaho National Engineering Laboratory (INEL) to meet the objectives of the Department of Energy (DOE) Waste Isolation Pilot Plant (WIPP) Transuranic Waste Characterization Quality Assurance Program Plan (QAPP) requirements. This QAPJP is written to conform with the requirements and guidelines specified in the QAPP and the associated documents referenced in the QAPP. This QAPJP is one of a set of five interrelated QAPjPs that describe the INEL Transuranic Waste Characterization Program (TWCP). Each of the five facilities participating in the TWCP has a QAPJP that describes the activities applicable to that particular facility. This QAPJP describes the roles and responsibilities of the Idaho Chemical Processing Plant (ICPP) Analytical Chemistry Laboratory (ACL) in the TWCP. Data quality objectives and quality assurance objectives are explained. Sample analysis procedures and associated quality assurance measures are also addressed; these include: sample chain of custody; data validation; usability and reporting; documentation and records; audits and 0385 assessments; laboratory QC samples; and instrument testing, inspection, maintenance and calibration. Finally, administrative quality control measures, such as document control, control of nonconformances, variances and QA status reporting are described.

Sailer, S.J.

1996-08-01

81

NASA Laboratory Telerobotic Manipulator control system architecture  

NASA Technical Reports Server (NTRS)

In support of the National Aeronautics and Space Administration (NASA) goals to increase the utilization of dexterous robotic systems in space, the Oak Ridge National Laboratory (ORNL) has developed the Laboratory Telerobotic Manipulator (LTM) system. It is a dexterous, dual-arm, force reflecting teleoperator system with robotic features for NASA ground-based research. This paper describes the overall control system architecture, including both the hardware and software. The control system is a distributed, modular, and hierarchical design with flexible expansion capabilities for future enhancements of both the hardware and software.

Rowe, J. C.; Butler, P. L.; Glassell, R. L.; Herndon, J. N.

1992-01-01

82

NASA Laboratory telerobotic manipulator control system architecture  

NASA Technical Reports Server (NTRS)

In support of the National Aeronautics and Space Administration (NASA) goals to increase the utilization of dexterous robotic systems in space, the Oak Ridge National Laboratory (ORNL) has developed the Laboratory Telerobotic Manipulator (LTM) system. It is a dexterous, dual-arm, force reflecting teleoperator system with robotic features for NASA ground-based research. This paper describes the overall control system architecture, including both the hardware and software. The control system is a distributed, modular, and hierarchical design with flexible expansion capabilities for future enhancements of both the hardware and software.

Rowe, J. C.; Butler, P. L.; Glassell, R. L.; Herndon, J. N.

1991-01-01

83

Implementation of Good Clinical Laboratory Practice (GCLP) guidelines within the External Quality Assurance Program Oversight Laboratory (EQAPOL)  

PubMed Central

The EQAPOL contract was awarded to Duke University to develop and manage global proficiency testing programs for flow cytometry-, ELISpot-, and Luminex bead-based assays (cytokine analytes), as well as create a genetically diverse panel of HIV-1 viral cultures to be made available to National Institutes of Health (NIH) researchers. As a part of this contract, EQAPOL was required to operate under Good Clinical Laboratory Practices (GCLP) that are traditionally used for laboratories conducting endpoint assays for human clinical trials. EQAPOL adapted these guidelines to the management of proficiency testing programs while simultaneously incorporating aspects of ISO/IEC 17043 which are specifically designed for external proficiency management. Over the first two years of the contract, the EQAPOL Oversight Laboratories received training, developed standard operating procedures and quality management practices, implemented strict quality control procedures for equipment, reagents, and documentation, and received audits from the EQAPOL Central Quality Assurance Unit. GCLP programs, such as EQAPOL, strengthen a laboratory's ability to perform critical assays and provide quality assessments of future potential vaccines. PMID:24120573

Todd, Christopher A.; Sanchez, Ana M.; Garcia, Ambrosia; Denny, Thomas N.; Sarzotti-Kelsoe, Marcella

2014-01-01

84

Developing a quality plan at a national laboratory  

SciTech Connect

Los Alamos National Laboratory has recently begun to develop a Laboratory-wide quality program. The author discusses in this talk some of the reasons that have caused many of the Laboratory staff to oppose the introduction of formal quality assurance (QA) programs. In analyzing these reasons, it is found that many of the elements of a good quality program are, in fact, already in use. However, a perception still exists that formal QA is an unnecessary bureaucratic burden. There is fear that the freedom of action essential to a good research and development laboratory will be restricted under a QA program. To address this valid concern, the author proposes that we need to re-examine the real purpose of QA, and suggests a new working definition of the term that may be more readily applicable to a multidisciplinary research and development laboratory. It is clear that we cannot successfully promote useful and effective QA programs unless we are willing to broaden our view and be more flexible in our applications of QA methodologies. The author will report on the results of their approach over the first year. We know that much of our task will be to persuade a skeptical staff that a quality program, thoughtfully prepared and properly used, can be a means not only for maintaining our reputation for excellence but also for systematically re-evaluating and improving the way we do our work. We are hopeful that the Laboratory Quality Plan will provide an effective first step toward that goal. 2 refs.

Davis, A.H.

1988-01-01

85

Testing a Constrained MPC Controller in a Process Control Laboratory  

ERIC Educational Resources Information Center

This paper describes an experiment performed by the fourth year chemical engineering students in the process control laboratory at the University of Waterloo. The objective of this experiment is to test the capabilities of a constrained Model Predictive Controller (MPC) to control the operation of a Double Pipe Heat Exchanger (DPHE) in real time.…

Ricardez-Sandoval, Luis A.; Blankespoor, Wesley; Budman, Hector M.

2010-01-01

86

Statistical quality control through overall vibration analysis  

Microsoft Academic Search

The present study introduces the concept of statistical quality control in automotive wheel bearings manufacturing processes. Defects on products under analysis can have a direct influence on passengers’ safety and comfort. At present, the use of vibration analysis on machine tools for quality control purposes is not very extensive in manufacturing facilities.Noise and vibration are common quality problems in bearings.

Ma Carmen Carnero; Rafael González-Palma; David Almorza; Pedro Mayorga; Carlos López-Escobar

2010-01-01

87

Quality Control by Artificial Vision  

SciTech Connect

Computational technology has fundamentally changed many aspects of our lives. One clear evidence is the development of artificial-vision systems, which have effectively automated many manual tasks ranging from quality inspection to quantitative assessment. In many cases, these machine-vision systems are even preferred over manual ones due to their repeatability and high precision. Such advantages come from significant research efforts in advancing sensor technology, illumination, computational hardware, and image-processing algorithms. Similar to the Special Section on Quality Control by Artificial Vision published two years ago in Volume 17, Issue 3 of the Journal of Electronic Imaging, the present one invited papers relevant to fundamental technology improvements to foster quality control by artificial vision, and fine-tuned the technology for specific applications. We aim to balance both theoretical and applied work pertinent to this special section theme. Consequently, we have seven high-quality papers resulting from the stringent peer-reviewing process in place at the Journal of Electronic Imaging. Some of the papers contain extended treatment of the authors work presented at the SPIE Image Processing: Machine Vision Applications conference and the International Conference on Quality Control by Artificial Vision. On the broad application side, Liu et al. propose an unsupervised texture image segmentation scheme. Using a multilayer data condensation spectral clustering algorithm together with wavelet transform, they demonstrate the effectiveness of their approach on both texture and synthetic aperture radar images. A problem related to image segmentation is image extraction. For this, O'Leary et al. investigate the theory of polynomial moments and show how these moments can be compared to classical filters. They also show how to use the discrete polynomial-basis functions for the extraction of 3-D embossed digits, demonstrating superiority over Fourier-basis functions for this task. Image registration is another important task for machine vision. Bingham and Arrowood investigate the implementation and results in applying Fourier phase matching for projection registration, with a particular focus on nondestructive testing using computed tomography. Readers interested in enriching their arsenal of image-processing algorithms for machine-vision tasks should find these papers enriching. Meanwhile, we have four papers dealing with more specific machine-vision tasks. The first one, Yahiaoui et al., is quantitative in nature, using machine vision for real-time passenger counting. Occulsion is a common problem in counting objects and people, and they circumvent this issue with a dense stereovision system, achieving 97 to 99% accuracy in their tests. On the other hand, the second paper by Oswald-Tranta et al. focuses on thermographic crack detection. An infrared camera is used to detect inhomogeneities, which may indicate surface cracks. They describe the various steps in developing fully automated testing equipment aimed at a high throughput. Another paper describing an inspection system is Molleda et al., which handles flatness inspection of rolled products. They employ optical-laser triangulation and 3-D surface reconstruction for this task, showing how these can be achieved in real time. Last but not least, Presles et al. propose a way to monitor the particle-size distribution of batch crystallization processes. This is achieved through a new in situ imaging probe and image-analysis methods. While it is unlikely any reader may be working on these four specific problems at the same time, we are confident that readers will find these papers inspiring and potentially helpful to their own machine-vision system developments.

Lam, Edmond Y. [University of Hong Kong, The; Gleason, Shaun Scott [ORNL; Niel, Kurt S. [Upper Austria University of Applied Science, Engineering and Environmental Studies

2010-01-01

88

Los Alamos National Laboratory Yucca Mountain Site Characterization Project 1994 quality program status report  

SciTech Connect

This status report is for calendar year 1994. It summarizes the annual activities and accomplishments of the Los Alamos National Laboratory Yucca Mountain Site Characterization Project (YMP or Project) quality assurance program. By identifying the accomplishments of the quality program, a baseline is established that will assist in decision making, improve administrative controls and predictability, and allow us to annually identify adverse trends and to evaluate improvements. This is the fourth annual status report.

Bolivar, S.L.

1996-03-01

89

42 CFR 493.1239 - Standard: General laboratory systems quality assessment.  

Code of Federal Regulations, 2011 CFR

...2011-10-01 false Standard: General laboratory systems quality assessment...CONTINUED) STANDARDS AND CERTIFICATION...REQUIREMENTS Quality System for Nonwaived...493.1239 Standard: General laboratory systems quality...

2011-10-01

90

42 CFR 493.1239 - Standard: General laboratory systems quality assessment.  

Code of Federal Regulations, 2010 CFR

...2010-10-01 false Standard: General laboratory systems quality assessment...CONTINUED) STANDARDS AND CERTIFICATION...REQUIREMENTS Quality System for Nonwaived...493.1239 Standard: General laboratory systems quality...

2010-10-01

91

Mars Science Laboratory thermal control architecture  

NASA Technical Reports Server (NTRS)

The Mars Science Laboratory (MSL) mission to land a large rover on Mars is being planned for launch in 2009. This paper will describe the basic architecture of the thermal control system, the challenges and the methods used to overcome them by the use of an innovative architecture to maximize the use of heritage from past projects while meeting the requirements for the design.

Bhandari, Pradeep; Birur, Gajanana; Pauken, Michael; Paris, Anthony; Novak, Keith; Prina, Mauro; Ramirez, Brenda; Bame, David

2005-01-01

92

Laboratory use of industrial control systems  

NASA Astrophysics Data System (ADS)

Industrial control system manufacturers supply the building blocks for the control of industrial equipment or specific process control applications. Although the laboratory environment is different in many aspects (prototyping, evolution and frequent reconfiguration), the use of these building blocks remain attractive because of their general purpose nature, their cost and the large spectrum of available types. In this paper we present three projects which have been implemented using both industrial control system building blocks (PLCs, controllers, digital and analogue plug-in I/O cards) and commercial software packages (LabView and VisualBasic) for the man-machine interface, the data acquisition and archiving, and the process control. This approach has proved to be economical, easy and fast to implement.

Rijllart, A.; Avot, L.; Brahy, D.; Jégou, D.; Saban, R.

1994-12-01

93

[Implementation of the technical requirements of the UNE-EN-ISO 15189 quality standard in a mycobacterial laboratory].  

PubMed

The UNE-EN-ISO 15189:2007 standard defines the requirements for quality and competence that must be met by medical laboratories. These laboratories should use this international standard to develop their own quality management systems and to evaluate their own competencies; in turn, this standard will be used by accreditation bodies to confirm or recognize the laboratories' competence. In clinical microbiology laboratories, application of the standard implies the implementation of the technical and specific management requirements that must be met to achieve optimal quality when carrying out microbiological tests. In Spain, accreditation is granted by the Spanish Accreditation Body (Entidad Nacional de Acreditación). This review aims to discuss the practical application of the standard's technical requirements in mycobacterial laboratory. Firstly, we define the scope of accreditation. Secondly, we specify how the items of the standard on personnel management, control of equipment, environmental facilities, method validation, internal controls and customer satisfaction surveys were developed and implemented in our laboratory. PMID:23453231

Guna Serrano, M del Remedio; Ocete Mochón, M Dolores; Lahiguera, M José; Bresó, M Carmen; Gimeno Cardona, Concepción

2013-02-01

94

Colorado Air Quality Control Regulations and Ambient Air Quality Standards.  

ERIC Educational Resources Information Center

Regulations and standards relative to air quality control in Colorado are defined in this publication. Presented first are definitions of terms, a statement of intent, and general provisions applicable to all emission control regulations adopted by the Colorado Air Pollution Control Commission. Following this, three regulations are enumerated: (1)…

Colorado State Dept. of Health, Denver. Div. of Air Pollution Control.

95

Microbiological quality assessment of laboratory mice in Korea and recommendations for quality improvement.  

PubMed

Regular monitoring of commercial laboratory rodents and institutional research animal residents is essential for microbiological quality control programs. The objective of our study was to investigate the recent prevalence of infectious pathogens in laboratory mice from eight experimental animal vendors and 56 institutional animal facilities in Korea. Our investigation was conducted in 2006-2007. Specific Pathogen Free (SPF) mice from four commercial breeders were clean according to serological, bacteriological, parasitological, and histopathological examination results. However, mice from one intermediate vendor that distributed SPF animals from main commercial vendors to local districts had Syphacia obvelata and Mycoptes musculinus infections. Additionally, mice from conventional animal breeders were highly contaminated. Among the 56 institutional animal facilities, mouse hepatitis virus (MHV), Sendai virus and Mycoplasma pulmonis positive results were obtained in 23.2, 8.9, and 1.8% of animals tested, respectively. These results indicate that quarantine and eradication efforts of infectious pathogens in these facilities are sub-optimal and need to be improved. The use of commercial conventional mice for research should be eliminated and appropriate vendor selection as well as thorough quarantine before releasing animals into a facility are needed. Finally we suggest qualified veterinary experts are needed at each animal facility to ensure an adequate health surveillance program. PMID:20224167

Na, Yi-Rang; Seok, Seung-Hyeok; Lee, Hui-Young; Baek, Min-Won; Kim, Dong-Jae; Park, Sung-Hoon; Lee, Hyun-Kyoung; Park, Jae-Hak

2010-01-01

96

Quality control of radiant heaters  

NASA Astrophysics Data System (ADS)

Based on infrared thermography, a non-destructive testing and evaluation (NDT&E) procedure is proposed for defects assessment on radiant heaters. Under a short electrical excitation, an infrared camera captures the cooling process of the heaters. Breaking the thermographic images down not only makes easiest the location of defects but it also allows their classification. Several kinds of defects have been taken into account: lack of supporting brackets; defects originated by a deficiency in the heating material; those from an excess of heating material; and those parts of the heating elements which are in wrong contact (non-contact or semi-buried) with the substrate. Each kind of analyzed defect has a different thermal history after the electrical excitation because of its nature. By means of computer vision techniques, the defects can be spatially located. The "chain code" was employed to follow the pattern of the heating element and so concentrate the analysis in points belonging to the pattern. A good agreement with analysis made under human's criteria is achieved. However, using infrared cameras and processing the data with computer vision algorithms allows controlling in-site the quality of the product without any subjectivity. So, the heaters manufacturing industry could come along with the implementation of this automatic detection procedure. Experimental results that validate the proposed method will be presented and discussed in this paper.

González, Daniel A.; Madruga, Francisco J.; Quintela, María Á.; López-Higuera, José M.

2005-09-01

97

Getting started on metrics - Jet Propulsion Laboratory productivity and quality  

NASA Technical Reports Server (NTRS)

A review is presented to describe the effort and difficulties of reconstructing fifteen years of JPL software history. In 1987 the collection and analysis of project data were started with the objective of creating laboratory-wide measures of quality and productivity for software development. As a result of this two-year Software Product Assurance metrics study, a rough measurement foundation for software productivity and software quality, and an order-of-magnitude quantitative baseline for software systems and subsystems are now available.

Bush, M. W.

1990-01-01

98

Quality Assurance and Control in Training.  

ERIC Educational Resources Information Center

Suggests ways to minimize the risk of training failure and ensure that training accomplishes its objectives. Explains key differences to be learned in order to use the appropirate method of applying quality assurance and quality control. Examines five quality factors to be measured, including pre- and post-training testing devices. (CT)

Cornwell, J. B.

1980-01-01

99

Quality Control Technician Curriculum. An Elusive Butterfly.  

ERIC Educational Resources Information Center

Defining and developing a quality control technician curriculum for an associate degree program is a difficult and puzzling job. There are as many definitions of quality control and curriculum ideas as there are educators asked. However, one could start by dividing the field into its major areas--heavy manufacturing, maintenance, research, and…

Holler, Michael

100

Legume Inoculants and Quality Control  

Microsoft Academic Search

Rhizobial inoculants have been used successfully in world agriculture for about 100 years. About 20 million ha crop and pasture legumes are inoculated in the world each year, although that figure could be increased if high-quality inoculants were available to all farmers. The characteristics of a high-quality inoculant relate to the properties of the carrier, the infective (nodulating) and effective

David Herridge; Greg Gemell; Elizabeth Hartley

101

Controller Design of Power Quality-Improving Appliances  

SciTech Connect

This paper presents an innovative solution to power quality problems using power quality-improving (PQI) appliances. PQI appliances conduct currents that supplement and correct the sum of the other load currents within a premise. From the utility side, the premise housing a PQI appliance thus becomes an improved, if not ideal, utility customer. The PQI appliance improves both harmonic power quality and power factor while performing its normal function, such as heating water. In this paper, the water heater PQI appliance is used as an example to demonstrate the control circuit design and function. Both computer simulation results and laboratory experiment results are presented to demonstrate the effectiveness of the approach. The estimated costs of the PQI controller and of harmonic compensating filters are compared to show that the PQI appliance may be an economic way to provide power quality improvement at the building level.

Hammerstrom, Donald J.; Zhou, Ning; Lu, Ning

2007-05-01

102

Frontiers in Cell Biology: Quality Control  

NSDL National Science Digital Library

Cells are the basic building blocks of living organisms, and the cell can be pictured as a very complicated factory of life. In order to maintain an effective internal regime and to prevent inappropriate attack by external factors, the cell needs quality control mechanisms to identify, correct, and prevent mistakes in its ongoing processes. The consequences of faulty quality control range from the cell death of neurodegeneration to the uncontrolled cell growth that is cancer. This article introduces a special containing reviews that describe four key processes in the cell and examine what is known about their quality control mechanisms.

Stella Hurtley (AAAS;)

1999-12-03

103

Minimum Cost Quality Control Tests  

Microsoft Academic Search

An expected cost model of a process whose mean is controlled by an X chart is developed. A two-stage numerical procedure is used to calculate the sample size, the number of units produced between samples, and the control limits of optimal control charts. Optimal plans are tabulated for three values of the a priori distribution parameter and three values of

H. Allan Knappenberger; A. H. E. Grandage

1969-01-01

104

Water Quality Control, Curriculum Guide.  

ERIC Educational Resources Information Center

Activities which study how water is used, contaminated, and treated or purified are presented in this curriculum guide, culminating in the investigation of a local water quality problem. Designed as a 12 week mini-course for students in grades eight and nine, the guide first presents a review of the content, objectives, major concepts, and sources…

Washington City Board of Education, NC.

105

Atmospheric Cloud Physics Laboratory thermal control  

NASA Technical Reports Server (NTRS)

The paper presents the development background and the present status of the Atmospheric Cloud Physics Laboratory (ACPL) thermal control capability. The ACPL, a Spacelab payload, is currently in the initial flight hardware development phase for a first flight scheduled in June 1981. The ACPL is intended as a facility for conducting a wide variety of cloud microphysics experimentation under zero gravity conditions. The cloud chambers, which are key elements of the ACPL, have stringent thermal requirements. Thus the expansion chamber inner walls must be uniform to within + or - 0.1 C during both steady-state and transient operation over a temperature range of +30 to -25 C. Design progression of the expansion chamber, from early in-house NASA-MSFC concepts (including test results of a prototype chamber) to a thermal control concept currently under development, is discussed.

Moses, J. L.; Fogal, G. L.; Scollon, T. R., Jr.

1978-01-01

106

QUALITY CONTROL FOR RESEARCH STUDIES: A CRITICAL PART OF THE QUALITY SYSTEM AT THE U. S. EPA  

EPA Science Inventory

QUALITY CONTROL FOR RESEARCH STUDIES: A CRITICAL PART OF THE QUALITY SYSTEM AT THE U.S. EPA Mette C.J. Schladweiler, Scientist, and Thomas J. Hughes, QA and Records Manager, Experimental Toxicology Division (ETD), National Health and Environmental Effects Research Laboratory (NHE...

107

Systems & Control LaboratoryKanazawa University Kanazawa University  

E-print Network

16 1 1 Systems & Control LaboratoryKanazawa University Kanazawa University 0223022202 2Systems & Control LaboratoryKanazawa University Kanazawa University · 1.1: · · ( [16] Doyle , 89 ) time time · 1.2: F-16 Aircraft 3Systems & Control LaboratoryKanazawa University Kanazawa

108

International External Quality Assurance for Laboratory Diagnosis of Diphtheria ?  

PubMed Central

The diphtheria surveillance network (DIPNET) encompassing National Diphtheria Reference Centers from 25 European countries is a Dedicated Surveillance Network recognized by the European Commission. A key DIPNET objective is the quality assessment of microbiological procedures for diphtheria across the European Union and beyond. A detailed questionnaire on the level of reference laboratory services and an external quality assessment (EQA) panel comprising six simulated throat specimens were sent to 34 centers. Twenty-three centers are designated National Diphtheria Reference Centers, with the laboratory in the United Kingdom being the only WHO Collaborating Centre. A variety of screening and identification tests were used, including the cysteinase test (20/34 centers), pyrazinamidase test (17/34 centers), and commercial kits (25/34 centers). The classic Elek test for toxigenicity testing is mostly used (28/34 centers), with variations in serum sources and antitoxin concentrations. Many laboratories reported problems obtaining Elek reagents or media. Only six centers produced acceptable results for all six specimens. Overall, 21% of identification and 13% of toxigenicity reports were unacceptable. Many centers could not isolate the target organism, and most found difficulties with the specimens that contained Corynebacterium striatum as a commensal contaminant. Nineteen centers generated either false-positive or negative toxigenic results, which may have caused inappropriate medical management. The discrepancies in this diphtheria diagnostics EQA alarmingly reflect the urgent need to improve laboratory performance in diphtheria diagnostics in Europe, standardize feasible and robust microbiological methods, and build awareness among public health authorities. Therefore, DIPNET recommends that regular workshops and EQA distributions for diphtheria diagnostics should be supported and maintained. PMID:19828749

Neal, S. E.; Efstratiou, A.

2009-01-01

109

Sandia National Laboratories ASCI Applications Software Quality Engineering Practices  

SciTech Connect

This document provides a guide to the deployment of the software verification activities, software engineering practices, and project management principles that guide the development of Accelerated Strategic Computing Initiative (ASCI) applications software at Sandia National Laboratories (Sandia). The goal of this document is to identify practices and activities that will foster the development of reliable and trusted products produced by the ASCI Applications program. Document contents include an explanation of the structure and purpose of the ASCI Quality Management Council, an overview of the software development lifecycle, an outline of the practices and activities that should be followed, and an assessment tool. These sections map practices and activities at Sandia to the ASCI Software Quality Engineering: Goals, Principles, and Guidelines, a Department of Energy document.

ZEPPER, JOHN D.; ARAGON, KATHRYN MARY; ELLIS, MOLLY A.; BYLE, KATHLEEN A.; EATON, DONNA SUE

2002-01-01

110

Internal control reporting and accounting quality.  

E-print Network

?? Nowadays, there exist two reporting regimes, rules-based and principle-based (comply-or-explain). In the rules-based environment, researchers have studied the relationship between internal control quality and… (more)

Cao Thi Thanh, Huyen

2010-01-01

111

Quality Control: An Issue for Technology Educators.  

ERIC Educational Resources Information Center

Defines statistical quality control (SQC) as a method used to analyze people, materials, machines, or processes by statistical methods. Explains why a technology educator would include SQC in some courses and describes elements of an SQC system. (JOW)

Johnson, Charles D.; Swanson, Eldon B.

1992-01-01

112

30 CFR 74.6 - Quality control.  

Code of Federal Regulations, 2011 CFR

...SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH COAL MINE DUST SAMPLING DEVICES Approval Requirements for Coal Mine Dust Personal Sampler Unit § 74.6 Quality control. The applicant shall describe the...

2011-07-01

113

30 CFR 74.6 - Quality control.  

Code of Federal Regulations, 2010 CFR

...SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH COAL MINE DUST SAMPLING DEVICES Approval Requirements for Coal Mine Dust Personal Sampler Unit § 74.6 Quality control. The applicant shall describe the...

2010-07-01

114

30 CFR 74.6 - Quality control.  

Code of Federal Regulations, 2012 CFR

...SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH COAL MINE DUST SAMPLING DEVICES Approval Requirements for Coal Mine Dust Personal Sampler Unit § 74.6 Quality control. The applicant shall describe the...

2012-07-01

115

30 CFR 74.6 - Quality control.  

Code of Federal Regulations, 2013 CFR

...SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH COAL MINE DUST SAMPLING DEVICES Approval Requirements for Coal Mine Dust Personal Sampler Unit § 74.6 Quality control. The applicant shall describe the...

2013-07-01

116

30 CFR 74.6 - Quality control.  

Code of Federal Regulations, 2014 CFR

...SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR COAL MINE SAFETY AND HEALTH COAL MINE DUST SAMPLING DEVICES Approval Requirements for Coal Mine Dust Personal Sampler Unit § 74.6 Quality control. The applicant shall describe the...

2014-07-01

117

Aerospace Materials Quality Control: Instructor Notes  

NSDL National Science Digital Library

This document from the Aerospace Manufacturing Education Project is intended to accompany a PowerPoint presentation on the topic of quality control of materials used in the aerospace industry. That presentation is available for download here. The presentation and notes will help students understand why quality control is important in this field. They also include details about aerospace QC teams and techniques, including non-destructive testing. These instructor notes also include links to a number of useful online references.

2012-11-14

118

Real-time quality control: the French Minitel system.  

PubMed

A prototype system designed to provide real-time response to inter-laboratory proficiency testing results has been developed using the French Minitel telecommunication system. This nationwide computer networking system allows for instantaneous reporting and evaluation of results obtained on external quality assessment (EQA) samples. If a certain test is in error and presumably out of control the problem can be remedied immediately with obvious advantages to patient care. PMID:2282753

Goguel, A; LeBlanc, A

1990-01-01

119

14 CFR 145.211 - Quality control system.  

Code of Federal Regulations, 2013 CFR

...2013-01-01 false Quality control system. 145.211 Section 145...Rules § 145.211 Quality control system. (a) A certificated repair...establish and maintain a quality control system acceptable to the FAA...

2013-01-01

120

14 CFR 145.211 - Quality control system.  

Code of Federal Regulations, 2014 CFR

...2014-01-01 false Quality control system. 145.211 Section 145...Rules § 145.211 Quality control system. (a) A certificated repair...establish and maintain a quality control system acceptable to the FAA...

2014-01-01

121

7 CFR 58.733 - Quality control tests.  

Code of Federal Regulations, 2010 CFR

...2010-01-01 false Quality control tests... § 58.733 Quality control tests. (a) Chemical analyses. The following chemical analyses shall...compliance with composition requirements...to assure good quality control....

2010-01-01

122

Quality assurance plan for Waste Area Grouping 6 at Oak Ridge National Laboratory, Oak Ridge, Tennessee  

SciTech Connect

This Quality Assurance Plan (QAP) is concerned with design and construction (Sect. 2) and characterization and monitoring (Sect. 3). The basis for Sect. 2 is the Quality Assurance Plan for the Design and Construction of Waste Area Grouping 6 Closure at Oak Ridge National Laboratory, Oak Ridge, Tennessee, and the basis for Sect. 3 is the Environmental Restoration Quality Program Plan. Combining the two areas into one plan gives a single, overall document that explains the requirements and from which the individual QAPs and quality assurance project plans can be written. The Waste Area Grouping (WAG) 6 QAP establishes the procedures and requirements to be implemented for control of quality-related activities for the WAG 6 project. Quality Assurance (QA) activities are subject to requirements detailed in the Martin Marietta Energy Systems, Inc. (Energy Systems), QA Program and the Environmental Restoration (ER) QA Program, as well as to other quality requirements. These activities may be performed by Energy Systems organizations, subcontractors to Energy Systems, and architect-engineer (A-E) under prime contract to the US Department of Energy (DOE), or a construction manager under prime contract to DOE. This plan specifies the overall Energy Systems quality requirements for the project. The WAG 6 QAP will be supplemented by subproject QAPs that will identify additional requirements pertaining to each subproject.

Not Available

1994-01-01

123

QUALITY ASSURANCE AND QUALITY CONTROL FOR DRINKING WATER LABORATORIES  

EPA Science Inventory

Soon after the US Environmental Protection Agency (USEPA) was formed in 1972, agency administrators realized that in order to make appropriate decisions for environmental regulation, they must be assured that data being generated by the agency and the 50 states were valid and leg...

124

Principles of Water Quality Control.  

ERIC Educational Resources Information Center

This book is designed as a text for undergraduate civil engineering courses and as preliminary reading for postgraduate courses in public health engineering and water resources technology. It is also intended to be of value to workers already in the field and to students preparing for the examinations of the Institute of Water Pollution Control

Tebbutt, T. H. Y.

125

Using Rapid Prototyping Tools for Automatic Control System Laboratory  

Microsoft Academic Search

In this paper, the development and implementation of laboratory tools for a control system laboratory is presented. Typical control system laboratory experiments are excessively time- consuming, require complex student instructions, and are inflexible and expensive. These drawbacks are addressed with the proposed system, which incorporates rapid prototyping software development tools, a user-friendly graphical user interface (GUI), a DC motor with

Robert S. Cochran; Todd D. Batzel; Peter J. Shull

2006-01-01

126

Description of the Spacecraft Control Laboratory Experiment (SCOLE) facility  

NASA Technical Reports Server (NTRS)

A laboratory facility for the study of control laws for large flexible spacecraft is described. The facility fulfills the requirements of the Spacecraft Control Laboratory Experiment (SCOLE) design challenge for a laboratory experiment, which will allow slew maneuvers and pointing operations. The structural apparatus is described in detail sufficient for modelling purposes. The sensor and actuator types and characteristics are described so that identification and control algorithms may be designed. The control implementation computer and real-time subroutines are also described.

Williams, Jeffrey P.; Rallo, Rosemary A.

1987-01-01

127

Description of the Spacecraft Control Laboratory Experiment (SCOLE) facility  

NASA Technical Reports Server (NTRS)

A laboratory facility for the study of control laws for large flexible spacecraft is described. The facility fulfills the requirements of the Spacecraft Control Laboratory Experiment (SCOLE) design challenge for laboratory experiments, which will allow slew maneuvers and pointing operations. The structural apparatus is described in detail sufficient for modelling purposes. The sensor and actuator types and characteristics are described so that identification and control algorithms may be designed. The control implementation computer and real-time subroutines are also described.

Williams, Jeffrey P.; Rallo, Rosemary A.

1987-01-01

128

Control of Spacecraft Control Laboratory Experiment (SCOLE) slew maneuvers  

NASA Technical Reports Server (NTRS)

This is the second report of a set of two reports on the dynamics and control of slewing maneuvers of NASA Spacecraft Control Laboratory Experiment (SCOLE). The control problem of slewing maneuvers of SCOLE is developed in terms of an arbitrary maneuver about any given axis. The control system is developed for the combined problem of rigid-body slew maneuver and vibration suppression of flexible appendage. The control problem is formulated by incorporating the nonlinear equations derived in the previous report and is expressed in terms of a two-point boundary value problem utilizing a quadratic type of performance index. The two-point boundary value problem is solved as a hierarchical control problem with the overall system being split in terms of two subsystems, namely the slewing of the entire assembly and the vibration suppression of the flexible antenna. The coupling variables between the two dynamical subsystems are identified and these two subsystems for control purposes are treated independently in parallel at the first level. Then the state-space trajectory of the combined problem is optimized at the second level.

Kakad, Y. P.

1987-01-01

129

Using analytical services at the National Water Quality Laboratory  

USGS Publications Warehouse

The National Water Quality Laboratory (NWQL) offers a variety of analytical services for the determination of constituents in samples of water, sediment, and biological material. As technology has advanced, many new methods have been introduced but not always incorporated into plans and schedules developed in the districts. The strengths and weaknesses of many different techniques are discussed and evaluated to promote a broad understanding of the services available at the NWQL. Method detection limits, precision, and costs are discussed, as well as possible applications for the methods. To aid in project planning, several tables have been developed that list the approved method for certain determination, particularly those being requested to satisfy cooperator or U.S. Environ- mental Protection Agency regulatory requirements.

Pratt, L.K.

1994-01-01

130

[Radionuclides, technologies and quality control in brachytherapy].  

PubMed

Brachytherapy consists in placing radioactive sources directly in contact with the tumoral bed. The type of source, its characteristics and its use will be adapted regarding the kind of treatment foreseen. Modern brachytherapy techniques employ remote afterloading technologies allowing better quality and security in the delivery of treatment. This development of technology goes with an increase need of quality control of equipments, including radionuclides, and procedures. PMID:23474213

Marchesi, V; Gautier, M; Villani, N; Feuillade, J; Dejean, C

2013-04-01

131

Quality control charts for storage of apricots.  

PubMed

Construction of modified Shewhart charts to monitor quality variations of apricots coated with edible sucrose polyesters in storage are described by using data based on changes in weight, soluble solids, pH, ascorbic acid, and Hunter colour scale. These control charts may be used to maintain the inevitable quality loss within acceptable limits, and make it possible to readjust the storage conditions if the acceptable limits should be violated. PMID:7975907

Sumnu, G; Bayindirli, L; Ozilgen, M

1994-09-01

132

Does laboratory automation for the preanalytical phase improve data quality?  

PubMed

Our aim was to evaluate whether automation for the preanalytical phase improves data quality. Blood from 100 volunteers was collected into two vacuum tubes. One sample from each volunteer was respectively assigned to (G1) traditional processing, starting with centrifugation at 1200 g for 10 min, and (G2) the MODULAR PRE-ANALYTICALS EVO-MPA system. The routine clinical chemistry tests were performed in duplicate on the same instrument Cobas 6000 module. G1 samples were uncapped manually and immediately placed into the instrument. G2 samples were directly fed from the MPA system to the instrument without further staff intervention. At the end, (1) the G1 samples were stored for 6 h at 4 °C as prescribed in our accredited laboratory and (2) the G2 samples were stored for 6 h in the MPA output buffer. Results from G1 and G2, before and after storage, were compared. Significant increases were observed in G1 compared with G2 samples as follows: (1) before storage for alkaline phosphatase (ALP), lactate dehydrogenase (LDH), phosphate (P), magnesium (MG), iron (FE), and hemolysis index and (2) after storage for total cholesterol (COL), triglycerides (TG), total protein (TP), albumin (ALB), blood urea nitrogen (BUN), creatinine (CRE), uric acid (UA), ALP, pancreatic amylase, aspartate aminotransferase (AST), alanine aminotransferase (ALT), g-glutamyltransferase (GGT), LDH, creatine kinase (CK), calcium (CA), FE, sodium (NA), potassium (K), and hemolysis index. Moreover, significant increases were observed in (3) G1-after versus G1-before storage samples for COL, high-density lipoprotein cholesterol, TG, TP, ALB, BUN, CRE, UA, AST, ALT, GGT, LDH, P, CA, MG, FE, NA, K, and hemolysis index and (4) G2-after versus G2-before storage only for BUN, AST, LDH, P, and CA. In conclusion, our results show that the MPA system improves the quality of laboratory testing. PMID:23686657

Lima-Oliveira, Gabriel; Lippi, Giuseppe; Salvagno, Gian Luca; Danese, Elisa; Montagnana, Martina; Brocco, Giorgio; Voi, Monica; Picheth, Geraldo; Guidi, Gian Cesare

2013-10-01

133

Post-translational Modification and Quality Control  

PubMed Central

Protein quality control (PQC) functions to minimize the level and toxicity of misfolded proteins in the cell. PQC is performed by intricate collaboration among chaperones and target protein degradation. The latter is carried out primarily by the ubiquitin-proteasome system and perhaps autophagy. Terminally misfolded proteins that are not timely removed tend to form aggregates. Their clearance requires macroautophagy. Macroautophagy serves in intracellular quality control also by selectively segregating defective organelles (e.g., mitochondria) and targeting them for degradation by the lysosome. Inadequate PQC is observed in a large subset of failing human hearts with a variety of etiologies and its pathogenic role has been experimentally demonstrated. Multiple post-translational modifications (PTMs) can occur to substrate proteins and/or PQC machineries, promoting or hindering the removal of the misfolded proteins. This article highlights recent advances in PTMs-mediated regulation of intracellular quality control mechanisms and its known involvement in cardiac pathology. PMID:23329792

Wang, Xuejun; Pattison, J. Scott; Su, Huabo

2013-01-01

134

Los Alamos National Laboratory Yucca Mountain Site Characterization Project 1993 Quality Program status report  

SciTech Connect

This status report is for calendar year 1993. It summarizes the annual activities and accomplishments of the Los Alamos National Laboratory (Los Alamos) Yucca Mountain Site Characterization Project (YMP or Project) quality assurance program. By identifying the accomplishments of the quality program, we establish a baseline that will assist in decision making, improve administrative controls and predictability, and allow us to annually identify long term trends and to evaluate improvements. This is the third annual status report (Bolivar, 1992; Bolivar, 1994). This report is divided into two primary sections: Program Activities and Trend Analysis. Under Program Activities, programmatic issues occurring in 1993 are discussed. The goals for 1993 are also listed, followed by a discussion of their status. Lastly, goals for 1994 are identified. The Trend Analysis section is a summary of 1993 quarterly trend reports and provides a good overview of the quality assurance issues of the Los Alamos YMP.

Bolivar, S.L.

1995-05-01

135

Evolution of a Low Cost Control Engineering Laboratory.  

ERIC Educational Resources Information Center

Presents an approach for building an inexpensive control engineering laboratory to support control courses in an undergraduate engineering program. Outlines the use of simple amplifier circuits and small personal computers in performing control experiments. Proposes an optimum configuration of the laboratory for minimum servicing and adequate…

El-Shirbeeny, El-Hosseiny Taha

1986-01-01

136

Processor quality control in laser imaging systems.  

PubMed

Sensitometric techniques for performing processor quality control in laser imaging systems are analyzed in this study. The sensitivity of conventional x-ray films using simulated screen-light sensitometry is compared with helium-neon (HeNe) laser film exposed with a simulated red-light sensitometer, a standalone (reference) laser sensitometer, an experimental (unstable) laser sensitometer, and laser printers. Infrared (IR) laser film exposed with an IR laser diode and a simulated IR sensitometer are also evaluated. It is demonstrated that laser-generated step tablets provide an easy and reliable method of performing laser film processor quality control. PMID:9127311

Bogucki, T M; Murphy, W R; Baker, C W; Piazza, S S; Haus, A G

1997-04-01

137

Quality Control Protocol for Confocal Systems  

PubMed Central

Quantitative analysis of confocal imaging experiments require more stringent quality control of instrument function than qualitative imaging. Unfortunately, there are no standard procedures for quality control that are uniformly implemented, and, in multi user facilities experimenters rarely have access to the QC information. This paper proposes an easy and very efficient protocol that could be performed at the beginning of each day, experiment or even slide. It takes only a few minutes to assess laser stability, stage stability, channel registration in 3 dimensions and flatness of field. The information may be used either to calibrate data or, in more severe cases to request servicing the instrument. PMID:23317897

Cornea, Anda

2014-01-01

138

42 CFR 84.40 - Quality control plans; filing requirements.  

Code of Federal Regulations, 2010 CFR

...SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.40 Quality...control plan which shall be designed to assure the quality of respiratory protection provided by the respirator for which approval...

2010-10-01

139

42 CFR 84.40 - Quality control plans; filing requirements.  

Code of Federal Regulations, 2011 CFR

...SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.40 Quality...control plan which shall be designed to assure the quality of respiratory protection provided by the respirator for which approval...

2011-10-01

140

42 CFR 84.40 - Quality control plans; filing requirements.  

Code of Federal Regulations, 2012 CFR

...SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.40 Quality...control plan which shall be designed to assure the quality of respiratory protection provided by the respirator for which approval...

2012-10-01

141

42 CFR 84.40 - Quality control plans; filing requirements.  

Code of Federal Regulations, 2013 CFR

...SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.40 Quality...control plan which shall be designed to assure the quality of respiratory protection provided by the respirator for which approval...

2013-10-01

142

42 CFR 84.40 - Quality control plans; filing requirements.  

Code of Federal Regulations, 2014 CFR

...SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.40 Quality...control plan which shall be designed to assure the quality of respiratory protection provided by the respirator for which approval...

2014-10-01

143

7 CFR 58.335 - Quality control tests.  

Code of Federal Regulations, 2010 CFR

...Procedures § 58.335 Quality control tests. All...subject to inspection for quality and condition throughout...processing operation. Quality control tests shall...adequate microbiological, composition and chemical...

2010-01-01

144

Rotorcraft flying qualities improvement using advanced control  

NASA Technical Reports Server (NTRS)

We report on recent experience gained when a multivariable helicopter flight control law was tested on the Large Motion Simulator (LMS) at DRA Bedford. This was part of a study into the application of multivariable control theory to the design of full-authority flight control systems for high-performance helicopters. In this paper, we present some of the results that were obtained during the piloted simulation trial and from subsequent off-line simulation and analysis. The performance provided by the control law led to level 1 handling quality ratings for almost all of the mission task elements assessed, both during the real-time and off-line analysis.

Walker, D.; Postlethwaite, I.; Howitt, J.; Foster, N.

1993-01-01

145

The Shanghai biobanking DNA quality control program.  

PubMed

Method validation is one of the crucial processes for a professional biobank. However, there are no routine guidelines specially designed for such studies. Therefore, in line with the need for competence in testing and calibration, the International Organization for Standardization (ISO) concept has been introduced to biobanking as a model for Quality Management Systems in this field. Accurate interpretation of the experimental data about the human genome depends on the quality of the genomic DNA. In this study, we focused on the validation of DNA quantitation by spectrophotometry, a basic bio-analytical method in molecular biology. The key factors of precision, accuracy testing, and linearity assessment are presented in assessing the method quality. Internal and external quality controls have been included as required. Our data show that the method of spectrophotometry is qualified for DNA quantitation. PMID:25093838

Ruan, Liangliang; Song, Yutong; Fan, Jinli; Ying, Hao; Gan, Rongxing

2014-08-01

146

External quality assessment of national public health laboratories in Africa, 2002–2009  

PubMed Central

Abstract Objective To describe findings from an external quality assessment programme involving laboratories in Africa that routinely investigate epidemic-prone diseases. Methods Beginning in 2002, the Regional Office for Africa of the World Health Organization (WHO) invited national public health laboratories and related facilities in Africa to participate in the programme. Three surveys comprising specimens and questionnaires associated with bacterial enteric diseases, bacterial meningitis, plague, tuberculosis and malaria were sent annually to test participants’ diagnostic proficiency. Identical surveys were sent to referee laboratories for quality control. Materials were prepared, packaged and shipped in accordance with standard protocols. Findings and reports were due within 30 days. Key methodological decisions and test results were categorized as acceptable or unacceptable on the basis of consensus feedback from referees, using established grading schemes. Findings Between 2002 and 2009, participation increased from 30 to 48 Member States of the WHO and from 39 to 78 laboratories. Each survey was returned by 64–93% of participants. Mean turnaround time was 25.9 days. For bacterial enteric diseases and meningitis components, bacterial identification was acceptable in 65% and 69% of challenges, respectively, but serotyping and antibiotic susceptibility testing and reporting were frequently unacceptable. Microscopy was acceptable for 73% of plague challenges. Tuberculosis microscopy was satisfactorily performed, with 87% of responses receiving acceptable scores. In the malaria component, 82% of responses received acceptable scores for species identification but only 51% of parasite quantitation scores were acceptable. Conclusion The external quality assessment programme consistently identified certain functional deficiencies requiring strengthening that were present in African public health microbiology laboratories. PMID:22461714

Perovic, Olga; Fensham, Vivian; McCarthy, Kerrigan; von Gottberg, Anne; de Gouveia, Linda; Poonsamy, Bhavani; Dini, Leigh; Rossouw, Jenny; Keddy, Karen; Alemu, Wondimagegnehu; Yahaya, Ali; Pierson, Antoine; Dolmazon, Virginie; Cognat, Sébastien; Ndihokubwayo, Jean Bosco

2012-01-01

147

QUALITY ASSURANCE GUIDELINES FOR LABORATORIES PERFORMING FORENSIC ANALYSIS OF CHEMICAL TERRORISM  

EPA Science Inventory

The Scientific Working Group on Forensic Analysis of Chemical Terrorism (SWGFACT) has developed the following quality assurance guidelines to provide laboratories engaged in forensic analysis of chemical evidence associated with terrorism a framework to implement a quality assura...

148

CEGR 6090 -Water Quality Control Course Description  

E-print Network

. "Environmental Modeling: Fate and Transport of Pollutants in Water, Air, and Soil." Wiley-Interscience, New York. Transport in estuaries. V. Impacts of conventional pollutants on surface waters VI. Eutrophication VIICEGR 6090 - Water Quality Control Course Description: A quantitative investigation of the movement

Bowen, James D.

149

Net analyte signal based statistical quality control.  

PubMed

Net analyte signal statistical quality control (NAS-SQC) is a new methodology to perform multivariate product quality monitoring based on the net analyte signal approach. The main advantage of NAS-SQC is that the systematic variation in the product due to the analyte (or property) of interest is separated from the remaining systematic variation due to all other compounds in the matrix. This enhances the ability to flag products out of statistical control. Using control charts, the analyte content, variation of other compounds, and residual variation can be monitored. As an example, NAS-SQC is used to appreciate the control content uniformity of a commercially available pharmaceutical tablet product measured with near-infrared spectroscopy. Using the NAS chart, the active pharmaceutical ingredient (API) content is easily monitored for new tablets. However, since quality is a multivariate property, other quality parameters of the tablets are also monitored simultaneously. It will be demonstrated that, besides the API content, the water content of the tablets as well as the homogeneity of the other compounds is monitored. PMID:16285655

Skibsted, E T S; Boelens, H F M; Westerhuis, J A; Smilde, A K; Broad, N W; Rees, D R; Witte, D T

2005-11-15

150

Outsourcing University Degrees: Implications for Quality Control  

ERIC Educational Resources Information Center

Education institutions worldwide have and continue to seek opportunities to spread their offerings abroad. While the provision of courses to students located overseas through partner institutions has many advantages, it raises questions about quality control that are not as applicable to other forms of international education. This paper uses a…

Edwards, Julie; Crosling, Glenda; Edwards, Ron

2010-01-01

151

11. Interior view of control room in Components Test Laboratory ...  

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

11. Interior view of control room in Components Test Laboratory (T-27), looking north. Photograph shows upgraded instrumentation, piping, and technological modifications installed in 1997-99 to accommodate component testing requirements for the Atlas V missile. - Air Force Plant PJKS, Systems Integration Laboratory, Components Test Laboratory, Waterton Canyon Road & Colorado Highway 121, Lakewood, Jefferson County, CO

152

Statistical quality control through overall vibration analysis  

NASA Astrophysics Data System (ADS)

The present study introduces the concept of statistical quality control in automotive wheel bearings manufacturing processes. Defects on products under analysis can have a direct influence on passengers' safety and comfort. At present, the use of vibration analysis on machine tools for quality control purposes is not very extensive in manufacturing facilities. Noise and vibration are common quality problems in bearings. These failure modes likely occur under certain operating conditions and do not require high vibration amplitudes but relate to certain vibration frequencies. The vibration frequencies are affected by the type of surface problems (chattering) of ball races that are generated through grinding processes. The purpose of this paper is to identify grinding process variables that affect the quality of bearings by using statistical principles in the field of machine tools. In addition, an evaluation of the quality results of the finished parts under different combinations of process variables is assessed. This paper intends to establish the foundations to predict the quality of the products through the analysis of self-induced vibrations during the contact between the grinding wheel and the parts. To achieve this goal, the overall self-induced vibration readings under different combinations of process variables are analysed using statistical tools. The analysis of data and design of experiments follows a classical approach, considering all potential interactions between variables. The analysis of data is conducted through analysis of variance (ANOVA) for data sets that meet normality and homoscedasticity criteria. This paper utilizes different statistical tools to support the conclusions such as chi squared, Shapiro-Wilks, symmetry, Kurtosis, Cochran, Hartlett, and Hartley and Krushal-Wallis. The analysis presented is the starting point to extend the use of predictive techniques (vibration analysis) for quality control. This paper demonstrates the existence of predictive variables (high-frequency vibration displacements) that are sensible to the processes setup and the quality of the products obtained. Based on the result of this overall vibration analysis, a second paper will analyse self-induced vibration spectrums in order to define limit vibration bands, controllable every cycle or connected to permanent vibration-monitoring systems able to adjust sensible process variables identified by ANOVA, once the vibration readings exceed established quality limits.

Carnero, M. a. Carmen; González-Palma, Rafael; Almorza, David; Mayorga, Pedro; López-Escobar, Carlos

2010-05-01

153

Optimal Airflow Control for Laboratory Air Handling Unit (LAHU) Systems  

E-print Network

An optimal airflow control method and procedure have been developed for laboratory air handing unit (LAHU) systems using linear optimization theories. The optimal airflow control minimizes the thermal energy consumption and the cost, and improves...

Cui, Y.; Liu, M.; Conger, K.

2002-01-01

154

Remote Quality Control Integrated with Internet-Based Robotic Systems  

NSDL National Science Digital Library

The current trends in industry include an integration of information and knowledge base network with a manufacturing system, which coined a new term, e-manufacturing. From the perspective of e-manufacturing, any production equipment and its control functions do not exist alone, instead becoming a part of the holistic operation system with distant monitoring, remote quality control and fault diagnostic capabilities. The key to this new paradigm is the accessibility to a remotely located system and having the means of responding to a rapidly changing environment. In this context, this paper presents innovative methods in remote part tracking and quality control using the Ethernet Smart Image Sensor and the Internet controllable Yamaha SCARA robot. The accuracy of the proposed scheme has been verified and subsequent quality control functions have been integrated, which vindicate the industrial applicability of the setup. The paper also discusses some of the online experiments conducted by the students and presents the evaluation outcomes. The experiment results suggest that online laboratory learning can be substantially enhanced by the use of even the simplest form of artificial graphical information and most students prefer having an instructor present even though the lab is taught online. The implications from this study can be used to benefit many schools that begun offering online lab courses.

Chiou, Richard; Kwon, Yongjin; Rauniar, Shreepud; Sosa, Horacio

2011-08-24

155

30 CFR 28.31 - Quality control plans; contents.  

Code of Federal Regulations, 2010 CFR

...1) Requirements for the production of quality data and the use of quality control records; (2) Control of engineering drawings, documentations, and changes; (3) Control and calibration of measuring and test equipment; (4)...

2010-07-01

156

42 CFR 84.41 - Quality control plans; contents.  

Code of Federal Regulations, 2010 CFR

...1) Requirements for the production of quality data and the use of quality control records; (2) Control of engineering drawings, documentations, and changes; (3) Control and calibration of measuring and test equipment; (4)...

2010-10-01

157

Materials Process Design and Control Laboratory Cornell University  

E-print Network

. Rhodes Hall Cornell University Ithaca, NY 14853-3801 Email: bw336@cornell.edu URL: http://mpdc.mae.cornell.eduMaterials Process Design and Control Laboratory Cornell University STOCHASTIC MULTISCALE MODELING/ #12;Materials Process Design and Control Laboratory Cornell University Outline Introduction

Zabaras, Nicholas J.

158

Materials Process Design and Control Laboratory Cornell University  

E-print Network

Cornell University Ithaca, NY 14853-3801 Email: zabaras@cornell.edu URL: http://mpdc.mae.cornell.eduMaterials Process Design and Control Laboratory Cornell University A New Approach to Solve/ Jiang Wan and Nicholas Zabaras #12;Materials Process Design and Control Laboratory Cornell University

Zabaras, Nicholas J.

159

10. Interior view of control room in Components Test Laboratory ...  

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

10. Interior view of control room in Components Test Laboratory (T-27), looking east. The control room is located in the center of the building and abuts the Test Cell 8, 9, and 10 and equipment room wings. Photograph shows upgraded instrumentation, piping, and technological modifications installed in 1997-99 to accommodate component testing requirements for the Atlas V missile. - Air Force Plant PJKS, Systems Integration Laboratory, Components Test Laboratory, Waterton Canyon Road & Colorado Highway 121, Lakewood, Jefferson County, CO

160

Quality-Assurance/Quality-Control Manual for Collection and Analysis of Water-Quality Data in the Ohio District, US Geological Survey  

USGS Publications Warehouse

The U.S. Geological Survey (USGS), Water Resources Division (WRD), requires that quality-assurance/quality-control (QA/QC) activities be included in any sampling and analysis program. Operational QA/QC procedures address local needs while incorporating national policies. Therefore, specific technical policies were established for all activities associated with water-quality project being done by the Ohio District. The policies described in this report provide Ohio District personnel, cooperating agencies, and others with a reference manual on QA/QC procedures that are followed in collecitng and analyzing water-quality samples and reporting water-quality information in the Ohio District. The project chief, project support staff, District Water-Quality Specialist, and District Laboratory Coordinator are all involved in planning and implementing QA/QC activities at the district level. The District Chief and other district-level managers provide oversight, and the Regional Water-Quality Specialist, Office of Water Quality (USGS headquarters), and the Branch of Quality Systems within the Office of Water Quality create national QA/QC polices and provide assistance to District personnel. In the literature, the quality of all measurement data is expressed in terms of precision, variability, bias, accuracy, completeness, representativeness, and comparability. In the Ohio District, bias and variability will be used to describe quality-control data generated from samples in the field and laboratory. Each project chief must plan for implementation and financing of QA/QC activities necessary to achieve data-quality objectives. At least 15 percent of the total project effort must be directed toward QA/QC activities. Of this total, 5-10 percent will be used for collection and analysis of quality-control samples. This is an absolute minimum, and more may be required based on project objectives. Proper techniques must be followed in the collection and processing of surface-water, ground-water, biological, precipitation, bed-sediment, bedload, suspended-sediment, and solid-phase samples. These techniques are briefly described in this report and are extensively documented. The reference documents listed in this report will be kept by the District librarian and District Water-Quality Specialist and updated regularly so that they are available to all District staff. Proper handling and documentation before, during, and after field activities are essential to ensure the integrity of the sample and to correct erroneous reporting of data results. Field sites are to be properly identified and entered into the data base before field data-collection activities begin. During field activities, field notes are to be completed and sample bottles appropriately labeled a nd stored. After field activities, all paperwork is to be completed promptly and samples transferred to the laboratory within allowable holding times. All equipment used by District personnel for the collection and processing of water-quality samples is to be properly operated, maintained, and calibrated by project personnel. This includes equipment for onsite measurement of water-quality characteristics (temperature, specific conductance, pH, dissolved oxygen, alkalinity, acidity, and turbidity) and equipment and instruments used for biological sampling. The District Water-Quality Specialist and District Laboratory Coordinator are responsible for preventive maintenance and calibration of equipment in the Ohio District laboratory. The USGS National Water Quality Laboratory in Arvada, Colo., is the primary source of analytical services for most project work done by the Ohio District. Analyses done at the Ohio District laboratory are usually those that must be completed within a few hours of sample collection. Contract laboratories or other USGS laboratories are sometimes used instead of the NWQL or the Ohio District laboratory. When a contract laboratory is used, the projec

Francy, D.S.; Jones, A.L.; Myers, D.N.; Rowe, G.L., Jr.; Eberle, Michael; Sarver, K.M.

1998-01-01

161

[Quality assessment of microscopic examination in tuberculosis diagnostic laboratories: a preliminary study].  

PubMed

Recently, the diagnosis of pulmonary tuberculosis (TB) has based on smear microscopy in the Direct Observed Treatment Strategy (DOTS) programme which provides the basis of treatment worldwide. Microscopic detection of AFB (Acid-Fast Bacilli) is one of the main components in the National TB Control Programmes (NTCP). Precision level in microscopy procedures and evaluations are the most important steps for accurate diagnosis of the disease and to initiate proper treatment. Therefore, the external quality assessment (EQA) is the most important implement to provide the reliability and validity of tests. In countries where NTCP are performed, this task is fulfilled by the National Reference Laboratories (NRL) according to the guidelines of the World Health Organization (WHO). For this purpose a pilot study was initiated by the central NRL of Turkey for EQA of AFB smear microscopy as part of the NTCP on January 1, 2005. A total of 5 laboratories of which 2 were district TB laboratories (A, B), 2 were tuberculosis control dispensaries (C, D), 1 was a national reference laboratory (E), participated in this study. Blind re-checking method (re-examination of randomly selected slides) was used for the evaluation, and the slides were sent to the central NRL with 3 months interval, four times a year, selected according to LQAS (Lot Quality Assurance Sampling) guides. In the re-evaluation of the slides, false positivity (FP), false negativity (FN) and quantification errors (QE) were noted. Laboratory A, sent totally 525 slides between January 1, 2005 and April 1, 2008. In the result of re-checking, 514 (97.9%) slides were found concordant, and 11 (2.1%) were discordant (10 FP, 1 FN). Laboratory B, participated in the study between October 1, 2005 and July 1, 2006 and of the 67 re-examined slides, 60 (89.5%) were concordant and 7 (10.5%) were discordant (2 FP, 0 FN, 5 QE). Laboratory C, sent 235 slides between January 1, 2005 and April 1, 2006; of them 218 (92.8%) were detected as compatible and 17 (7.2%) slides were incompatible (4 FP, 9 FN, 4 QE). Laboratory D, participated in QC for only once between January 1, 2008 and April 1, 2008; and all the 50 slides were found compatible, with no FP, FN and QE. Laboratory E, was included in the study between January 1, 2005 and January 1, 2008 and of the 696 re-checked slides, 690 (99.1%) were reported as compatible and 6 (0.9%) were incompatible (3 FN, 3 QE). Following EQA, on-site evaluation of the laboratories with major errors, was performed and necessary adjustments and training were done. In conclusion, external quality control measures for AFB microscopy is crucial and essential for the tuberculosis laboratory performances for accurate and reliable results. PMID:21063968

Sim?ek, Hülya; Ceyhan, Ismail; Tarhan, Gülnur; Güner, U?ur

2010-10-01

162

Isolation and quality control of functional mitochondria.  

PubMed

Numerous protocols are available being adapted for different cell or tissue types allowing isolation of pure mitochondria trying to preserve their "structural and functional" integrity. In this chapter we intend to provide a more general framework introducing differential isopycnic density gradient centrifugation strategy with a special focus sensitizing for the specific challenges coming along with this method and how to obtain "functional," enriched, "intact" mitochondria. Due to the fact that in any study dealing with these organelles standardized processing is mandatory. Here we describe a strategy addressing quality control of prepared intact mitochondria. The quality control should be an integrated part of all isolation processes. The underlying protocol should be seen as starting point and has to be carefully adjusted to cover different sample types used for the diverse research questions. PMID:25630999

Hartwig, Sonja; Kotzka, Jorg; Lehr, Stefan

2015-01-01

163

The optimization of solid fuel quality control  

SciTech Connect

A method is described for the optimization of the control of the quality of solid fuels such as coal, shales and their processed products according to a selected combination of two correlated signals. The improvement of accuracy and probability of errors is reduced when utilizing spectral instruments. The results on measurements of 63 parameters for coal and rock are discussed. 5 refs., 1 fig., 1 tab.

Onishchenko, A.M. [Rossiiskaya Akademiya, Nauk (Russian Federation)

1994-12-31

164

CONTROL ASSAY DEVELOPMENT: METHODOLOGY AND LABORATORY VERIFICATION  

EPA Science Inventory

The report describes Control Assay Development (CAD), a data acquisition program designed to evaluate the potential applicability of various treatment processes for the control of solid, liquid, and gaseous emissions from coal conversion plants. The CAD program described could be...

165

Temperature management during semen processing: Impact on boar sperm quality under laboratory and field conditions.  

PubMed

Freshly collected boar spermatozoa are sensitive to a fast reduction in temperature because of lipid phase transition and phase separation processes. Temperature management during semen processing may determine the quality of stored samples. The aim of this study was to evaluate the influence of isothermic and hypothermic semen processing protocols on boar sperm quality under laboratory and field conditions. In the laboratory study, ejaculates (n = 12) were first diluted (1:1) with Beltsville Thawing Solution (BTS) at 32 °C, then processed either with isothermic (32 °C) or hypothermic (21 °C) BTS, stored at 17 °C, and assessed on days 1, 3, and 6. Temperature curves showed that 150 minutes after the first dilution, semen doses of both groups reached the same temperature. Two-step hypothermic processing resulted in lower sperm motility on days 1 and 6 (P < 0.05). Concomitantly, hypothermally processed samples contained less membrane intact sperm on days 3 and 6 (P < 0.05). Using AndroStar Plus extender instead of BTS reduced the negative effect of hypothermic processing. In the field study, 15 semen samples from each of 23 European artificial insemination studs were evaluated as part of an external quality control program. Semen quality based on motility, membrane integrity, mitochondrial activity, and a thermoresistance test was higher for stations using one-step isothermic dilutions (n = 7) compared with artificial insemination centers using two-step hypothermic protocols (n = 16). Both studies show that chilling injury associated with hypothermic dilution results in lower quality of stored boar semen compared with isothermic dilution and that the type of semen extender affects the outcomes. PMID:23987989

Schulze, M; Henning, H; Rüdiger, K; Wallner, U; Waberski, D

2013-12-01

166

Argonne National Laboratory Internal Appraisal Program environment, safety, health/quality assurance oversight  

SciTech Connect

Argonne National Laboratory`s Internal Appraisal Program has developed a quality assurance team member training program. This program has been developed to provide training to non-quality assurance professionals. Upon successful completion of this training and approval of the Internal Appraisal Program Manager, these personnel are considered qualified to assist in the conduct of quality assurance assessments. The training program has been incorporated into a self-paced, computerized, training session.

Winner, G.L.; Siegfried, Y.S.; Forst, S.P.; Meshenberg, M.J.

1995-06-01

167

Probabilistic quality control of daily temperature data  

NASA Astrophysics Data System (ADS)

A procedure for quality control of daily maximum and minimum temperature data acquired by a monitoring network is presented. The procedure aims to automatically identify data affected by potential anomalies, thus reducing the necessary time for a manual inspection of the operator who has the task to assign the final flags in each quality control system. Potential anomalies in daily temperature data are identified through probabilistic confidence intervals derived from the historical dataset observed both in the target station and in the selected reference stations. In particular, a first control is carried out by verifying whether the observed data lie within a confidence interval of fixed probability, obtained from the historical series of the same station, after removal of statistically significant linear trend. A second control is based on comparing the observed data with confidence intervals derived by means of multiple linear regressions, developed by using contemporaneous data observed in reference stations. Examples of applications of the proposed procedures are reported with reference to daily maximum and minimum temperature observed from 1950 to 2004 at some Sicilian automatic stations, operated by the Water Observatory of Regional Agency for Waste and Water (formerly, the Sicilian Regional Hydrographic Office). Finally, the accuracy of the proposed procedure is verified by introducing known errors in the available series of daily temperature, assumed as correct, and by computing the probabilities to correctly and incorrectly classify the acquired data in terms of the corresponding frequencies.

Sciuto, G.; Bonaccorso, B.; Cancelliere, A.; Rossi, G.

2010-05-01

168

Analytical Chemistry Laboratory Quality Assurance Project Plan for the Transuranic Waste Characterization Program  

Microsoft Academic Search

This Quality Assurance Project Plan (QAPJP) specifies the quality of data necessary and the characterization techniques employed at the Idaho National Engineering Laboratory (INEL) to meet the objectives of the Department of Energy (DOE) Waste Isolation Pilot Plant (WIPP) Transuranic Waste Characterization Quality Assurance Program Plan (QAPP) requirements. This QAPJP is written to conform with the requirements and guidelines specified

Sailer

1996-01-01

169

Building the Quality Control System for Medical Equipments in Hospital  

Microsoft Academic Search

Using safety of medical equipments is essential for patient safety and medical quality in hospital, up to now strategy of systematically quality control of medical equipments on the using safety has not been established. In this paper, we proposed six-dimension risk model for risk level evaluation quantitatively and established the quality control system to assure the using quality of medical

Hao Wu; Guangrong Liu

2010-01-01

170

Quality Control for the 3-in-1 Cards 1. Overview  

E-print Network

5/29/99 Quality Control for the 3-in-1 Cards 1. Overview The quality control is divided into two will then be burned in at an elevated temperature for 1 week and the tests repeated. The following tests

171

10 CFR 26.167 - Quality assurance and quality control.  

Code of Federal Regulations, 2010 CFR

...Energy NUCLEAR REGULATORY COMMISSION FITNESS FOR DUTY PROGRAMS Laboratories Certified...interfaced with a laboratory information management system, or computer, and/or generate...and reported to appropriate levels of management. (2) If a false positive...

2010-01-01

172

A SYNCHRONOUS REMOTE ACCESSING CONTROL LABORATORY ON THE INTERNET  

Microsoft Academic Search

This paper presents the manipulation of real devices used in an instrumentation and control laboratory on the Internet. Control variables could be temperature, level, flow or pressure. A programmable logic controller (PLC) communicates directly with the sensors to receive signals and to activate the actuators. Communication between the PLC and the computer is assured by LabVIEW, a National Instruments graphical

Maarouf Saad; Hamadou Saliah-Hassane; Hussein Hassan; Zouhair El-Guetioui; Mohamed Cheriet

173

Review of controlled laboratory experiments on physics of magnetic reconnection  

E-print Network

Review of controlled laboratory experiments on physics of magnetic reconnection Masaaki Yamada from the most recent experiments in the past 2 decades in which magnetic reconnection has been of the reconnection process and its hydromagnetic consequences has been largely theoretical. Laboratory experiments

174

Health laboratories in the Tanga region of Tanzania: the quality of diagnostic services for malaria and other communicable diseases.  

PubMed

Although critical for good case management and the monitoring of health interventions, the health-laboratory services in sub-Saharan Africa are grossly compromised by poor infrastructures and a lack of trained personnel, essential reagents and other supplies. The availability and quality of diagnostic services in 37 health laboratories in three districts of the Tanga region of Tanzania have recently been assessed. The results of the survey, which involved interviews with health workers, observations and a documentary review, revealed that malaria accounted for >50% of admissions and out-patient visits. Most (92%) of the laboratories were carrying out malaria diagnosis and 89% were measuring haemoglobin concentrations but only one (3%) was conducting culture and sensitivity tests, and those only on urine and pus samples. Only 14 (17%) of the 84 people found working in the visited laboratories were laboratory technologists with a diploma certificate or higher qualification. Sixteen (43%) of the study laboratories each had five or fewer types of equipment and only seven (19%) had more than 11 types each. Although 11 (30%) of the laboratories reported that they conducted internal quality control, none had standard operating procedures (SOP) on display or evidence of such quality assurance. Although malaria was the main health problem, diagnostic services for malaria and other diseases were inadequate and of poor quality because of the limited human resources, poor equipment and shortage of supplies. If the health services in Tanga are not to be overwhelmed by the progressively increasing burden of HIV/AIDS, malaria, tuberculosis and other emerging and re-emerging diseases, more funding and appropriate policies to improve the availability and quality of the area's diagnostic services will clearly be required. PMID:19583914

Ishengoma, D R S; Rwegoshora, R T; Mdira, K Y; Kamugisha, M L; Anga, E O; Bygbjerg, I C; Rønn, A M; Magesa, S M

2009-07-01

175

Technical Justification for Radiation Controls at an Environmental Laboratory  

SciTech Connect

This paper describes the technical approach used to establish radiation protection controls over incoming radioactive materials to an environmental measurements laboratory at the Hanford Site. Conditions that would trigger internal dosimetry, posting.

DUPAQUIER, J.C.

2000-07-01

176

Integrated quality control architecture for multistage machining processes  

NASA Astrophysics Data System (ADS)

To solve problems concerning the process quality prediction control for the multistage machining processes, a integrated quality control architecture is proposed in this paper. First, a hierarchical multiple criteria decision model is established for the key process and the weight matrix method stratified is discussed. Predictive control of the manufacturing quality is not just for on-site monitoring and control layer, control layer in the enterprise, remote monitoring level of quality exists a variety of target predictive control demand, therefore, based on XML to achieve a unified description of manufacturing quality information, and in different source of quality information between agencies to achieve the transfer and sharing. This will predict complex global quality control, analysis and diagnosis data to lay a good foundation to achieve a more practical, open and standardized manufacturing quality with higher levels of information integration system.

Yang, Jie; Liu, Guixiong

2010-12-01

177

Mitochondrial dynamics and mitochondrial quality control  

PubMed Central

Mitochondria are cellular energy powerhouses that play important roles in maintaining cell survival, cell death and cellular metabolic homeostasis. Timely removal of damaged mitochondria via autophagy (mitophagy) is thus critical for cellular homeostasis and function. Mitochondria are reticular organelles that have high plasticity for their dynamic structures and constantly undergo fission and fusion as well as movement through the cytoskeleton. In this review, we discuss the most recent progress on the molecular mechanisms and roles of mitochondrial fission/fusion and mitochondrial motility in mitophagy. We also discuss multiple pathways leading to the quality control of mitochondria in addition to the traditional mitophagy pathway under different conditions. PMID:25479550

Ni, Hong-Min; Williams, Jessica A.; Ding, Wen-Xing

2014-01-01

178

Sandia National Laboratories, California Air Quality Program annual report  

Microsoft Academic Search

The annual program report provides detailed information about all aspects of the SNL\\/CA Air Quality Program. It functions as supporting documentation to the SNL\\/CA Environmental Management System Program Manual. The program report describes the activities undertaken during the past year, and activities planned in future years to implement the Air Quality Program, one of six programs that supports environmental management

Leslee P. Gardizi; Richard Smith

2009-01-01

179

Acoustics Laboratories: Active Noise Control Demo  

NSDL National Science Digital Library

The Virginia Polytechnic Institute and State University Department of Mechanical Engineering offers the Active Noise Control Experiment. The page contains an explanation of the experiment and the download file to carry it out. The experiment demonstrates how active noise control cancels a sound wave by sending a single frequency wave to the right computer speaker, which represents the noise to be canceled, and a control wave of equal amplitude and opposite phase to the left speaker to cancel the noise. Although younger kids will most likely need help from teachers or parents to set up or understand the experiment, the very interesting hands-on activity will be enjoyed by nearly every aged student.

1969-12-31

180

Antimisting kerosene: Base fuel effects, blending and quality control techniques  

NASA Technical Reports Server (NTRS)

The problems associated with blending of the AMK additive with Jet A, and the base fuel effects on AMK properties are addressed. The results from the evaluation of some of the quality control techniques for AMK are presented. The principal conclusions of this investigation are: significant compositional differences for base fuel (Jet A) within the ASTM specification DI655; higher aromatic content of the base fuel was found to be beneficial for the polymer dissolution at ambient (20 C) temperature; using static mixer technology, the antimisting additive (FM-9) is in-line blended with Jet A, producing AMK which has adequate fire-protection properties 15 to 20 minutes after blending; degradability of freshly blended and equilibrated AMK indicated that maximum degradability is reached after adequate fire protection is obtained; the results of AMK degradability as measured by filter ratio, confirmed previous RAE data that power requirements to decade freshly blended AMK are significantly higher than equilibrated AMK; blending of the additive by using FM-9 concentrate in Jet A produces equilibrated AMK almost instantly; nephelometry offers a simple continuous monitoring capability and is used as a real time quality control device for AMK; and trajectory (jet thurst) and pressure drop tests are useful laboratory techniques for evaluating AMK quality.

Yavrouian, A. H.; Ernest, J.; Sarohia, V.

1984-01-01

181

Quality assurance and quality control of geochemical data—A primer for the research scientist  

USGS Publications Warehouse

Geochemistry is a constantly expanding science. More and more, scientists are employing geochemical tools to help answer questions about the Earth and earth system processes. Scientists may assume that the responsibility of examining and assessing the quality of the geochemical data they generate is not theirs but rather that of the analytical laboratories to which their samples have been submitted. This assumption may be partially based on knowledge about internal and external quality assurance and quality control (QA/QC) programs in which analytical laboratories typically participate. Or there may be a perceived lack of time or resources to adequately examine data quality. Regardless of the reason, the lack of QA/QC protocols can lead to the generation and publication of erroneous data. Because the interpretations drawn from the data are primary products to U.S. Geological Survey (USGS) stakeholders, the consequences of publishing erroneous results can be significant. The principal investigator of a scientific study ultimately is responsible for the quality and interpretation of the project's findings, and thus must also play a role in the understanding, implementation, and presentation of QA/QC information about the data. Although occasionally ignored, QA/QC protocols apply not only to procedures in the laboratory but also in the initial planning of a research study and throughout the life of the project. Many of the tenets of developing a sound QA/QC program or protocols also parallel the core concepts of developing a good study: What is the main objective of the study? Will the methods selected provide data of enough resolution to answer the hypothesis? How should samples be collected? Are there known or unknown artifacts or contamination sources in the sampling and analysis methods? Assessing data quality requires communication between the scientists responsible for designing the study and those collecting samples, analyzing samples, treating data, and interpreting results. This primer has been developed to provide basic information and guidance about developing QA/QC protocols for geochemical studies. It is not intended to be a comprehensive guide but rather an introduction to key concepts tied to a list of relevant references for further reading. The guidelines are presented in stepwise order beginning with presampling considerations and continuing through final data interpretation. The goal of this primer is to outline basic QA/QC practices that scientists can use before, during, and after chemical analysis to ensure the validity of the data they collect with the goal of providing defendable results and conclusions.

Geboy, Nicholas J.; Engle, Mark A.

2011-01-01

182

Color metric for production quality control  

NASA Astrophysics Data System (ADS)

A real-time color quality control metric for planar surfaces has been developed. This is a differencing method that compares the color histogram of a test object with that of a standard obtained off-line. To reduce computational effort, three 1D histograms are formed by projecting the reference color histogram on to its principal axes. A metric value for each of the axes is then obtained by taking the RMS value of the differences between the corresponding entries in the histograms of the sample and reference objects. A model of the behavior of the metric has been developed and compared to the practical case where one of the color channels is attenuated. The major axis is generally observed to form the least sensitive color metric component for the purposes of quality control. It is argued that the projections on to the minor axis are theoretically expected to produce the most sensitive component because this is a null channel with respect to the reference image. In practice it is observed that this is often the case. The method has been evaluated using production samples of ceramic tiles. Results are presented showing clustering of the experimental data corresponding to tiles of different grades.

McCollum, Anthony J.; Forrest, Andrew K.

1999-09-01

183

Data quality control of ADSN Broadband stations  

NASA Astrophysics Data System (ADS)

In this work we present the analysis of continuous waveform of the Algerian digital seismic network recorded during five years from 2008 to 2013 for twenty broadband stations using the power spectral densities (PSDs) and their corresponding probability density functions (PDFs) algorithm of McNamara, and Buland (2004). ADSN Broadband stations data quality is one main concern and interest of ADSN technical team. Indeed, the quality of the data from broadband stations is continuously controlled in quasi-realtime using "PQLX" (Pascal Quick Look eXtended) software to compute the PDFs and PSDs during the operation of the stations at different frequency range. At each station the level of noise is shown, which we can see diurnal and seasonal variation. From the data analysis, most of the ADSN Broadband stations display good records in the several frequency domains in relation with their site installation. However some of stations near the urban areas could present some noisy disturbances. This led sometimes to generate some ghost events. In the low frequency, some stations could be still influenced by the temperature variations. This long period of records from 2008 to 2013, led us to analyze and control the several stations year by year taking into account the seasons and to know about their work during five years. This analysis is also very important to improve in the future quality of station installation and choose the optimal station design in aim to reduce cultural noise and large fluctuation of temperature and pressure. Key words: PQLX, PDFs, PSDs, Broad Band

Alili, Azouaou; Yelles-chaouche, Abd el karim; Allili, Toufik; Messemen, Walid

2014-05-01

184

External Quality Assessment of Molecular Typing of Staphylococcus aureus Isolates by a Network of Laboratories  

PubMed Central

A network of laboratories designated Centres for Molecular Diagnosis was funded in 2000 by Belgian National Health Insurance to provide clinically relevant molecular diagnostic tests. These included typing of nosocomial pathogens as a service to local hospital infection control programs. Two external quality assessment (EQA) surveys were performed in 2001 and 2003 to evaluate the proficiencies of the laboratories at Staphylococcus aureus typing. EQA panels included S. aureus isolates with either indistinguishable, clonally related, or unrelated pulsed-field gel electrophoresis (PFGE) patterns. A hypothetical hospital outbreak problem was also submitted for analysis. Typeability, reproducibility, discrimination (D) index, and epidemiological concordance were evaluated. Ten centers participated in each survey. Seven centers performed PFGE analysis, while others used repetitive-element or randomly amplified polymorphic DNA PCR, amplified fragment length polymorphism, or spa typing. Full typeability (100%) was achieved by all centers, and all but one showed 100% reproducibility. Discrimination was appropriate (D index, ?96%) for centers performing PFGE analysis but not for all those using other methods (D index range, 72% to 97%). Correct answers to the epidemiological questions were provided by 7/10 and 10/10 centers in 2001 and 2003, respectively. Individual feedback of results was provided to each center together with specific technical recommendations for improving performance. Our findings indicate that surveys of lab proficiency are useful for validation and optimization of molecular typing services to local hospital infection control programs. PMID:16954254

Deplano, A.; De Mendonça, R.; De Ryck, R.; Struelens, M. J.

2006-01-01

185

A digital flight control system verification laboratory  

NASA Technical Reports Server (NTRS)

A NASA/FAA program has been established for the verification and validation of digital flight control systems (DFCS), with the primary objective being the development and analysis of automated verification tools. In order to enhance the capabilities, effectiveness, and ease of using the test environment, software verification tools can be applied. Tool design includes a static analyzer, an assertion generator, a symbolic executor, a dynamic analysis instrument, and an automated documentation generator. Static and dynamic tools are integrated with error detection capabilities, resulting in a facility which analyzes a representative testbed of DFCS software. Future investigations will ensue particularly in the areas of increase in the number of software test tools, and a cost effectiveness assessment.

De Feo, P.; Saib, S.

1982-01-01

186

21 CFR 111.117 - What quality control operations are required for equipment, instruments, and controls?  

Code of Federal Regulations, 2010 CFR

... 2010-04-01 false What quality control operations are required for equipment, instruments, and controls? 111.117 Section 111.117 Food...DIETARY SUPPLEMENTS Production and Process Control System: Requirements for Quality...

2010-04-01

187

21 CFR 111.117 - What quality control operations are required for equipment, instruments, and controls?  

Code of Federal Regulations, 2011 CFR

... 2011-04-01 false What quality control operations are required for equipment, instruments, and controls? 111.117 Section 111.117 Food...DIETARY SUPPLEMENTS Production and Process Control System: Requirements for Quality...

2011-04-01

188

Providing Quality Laboratories to Long-Distance Educational Programs.  

ERIC Educational Resources Information Center

North Carolina State University (UNC) has been on the forefront of long-distance education by offering a Bachelor of Science in Engineering with a Mechatronics Concentration at its remote campus located at UNC Asheville. The program demonstrates that long-distance laboratories are feasible and should not be a stumbling block to offering…

Gammon, Tammy; Sutton, John

2003-01-01

189

Sandia National Laboratories ASCI Applications Software Quality Engineering Practices  

Microsoft Academic Search

This document provides a guide to the deployment of the software verification activities, software engineering practices, and project management principles that guide the development of Accelerated Strategic Computing Initiative (ASCI) applications software at Sandia National Laboratories (Sandia). The goal of this document is to identify practices and activities that will foster the development of reliable and trusted products produced by

JOHN D. ZEPPER; KATHRYN MARY ARAGON; MOLLY A. ELLIS; KATHLEEN A. BYLE; DONNA SUE EATON

2003-01-01

190

Quality control of ATLAS muon chambers  

E-print Network

ATLAS is a general-purpose experiment for the future Large Hadron Collider (LHC) at CERN. Its Muon Spectrometer will require ? 5500m2 of precision tracking chambers to measure the muon tracks along a spectrometer arm of 5m to 15m length, embedded in a magnetic field of ? 0.5T. The precision tracking devices in the Muon System will be high pressure drift tubes (MDTs). Approximately 370,000 MDTs will be assembled into ? 1200 drift chambers. The performance of the MDT chambers is very much dependent on the mechanical quality of the chambers. The uniformity and stability of the performance can only be assured providing very high quality control during production. Gas tightness, high-voltage behaviour and dark currents are global parameters which are common to gas detectors. For all chambers, they will be tested immediately after the chamber assembly at every production site. Functional tests, for example radioactive source scans and cosmic-ray runs, will be performed in order to establish detailed performan...

Fabich, Adrian

191

Quality control of VLT ISAAC data  

NASA Astrophysics Data System (ADS)

For 3 years the Infrared Spectrometer And Array Camera (ISAAC) has been operating at the 8m Antu (UT1) telescope of the European Southern Observatory Very Large Telescope (ESO VLT). As part of ESO data flow operations ISAAC data are processed and quality control checked by the Data Flow Operations group (often known as QC Garching). at ESO headquarters in Garching. The status of the instrument is checked in terms of QC parameters, which are derived from raw and processed data and compared against reference values. Low level parameters include detector temperature and zero level offset, other parameters include image quality and spectrum curvature. Complicated instrumental behaviors like the odd-even column effect and the appearance of pupil ghosts require more sophisticated QC tools. Instrumental interventions of cryogenic instruments like ISAAC include a defrost and re-freeze sequence which can be traced in trending plots of the QC1 parameters, which are published regularly (see http://www.eso.org/qc). We present recent highlights of the ISAAC QC process and their role as feedback to the observatory to retain the performance of the instrument.

Hummel, Wolfgang; Lidman, Christopher; Devillard, Nicolas; Jung, Yves; Johnson, Rachael; Doublier, Vanessa

2002-12-01

192

Quality control of VLT-UVES data  

NASA Astrophysics Data System (ADS)

UVES is the UV-Visual high-resolution echelle spectrograph mounted at the 8.2m Kueyen (UT2) telescope of the ESO Very Large Telescope. Its data products are pipeline-processed and quality checked by the Data Flow Operations Group (often known as QC Garching). Calibration data are processed to create calibration products and to extract Quality Control (QC) parameters. These parameters provide instrument health checks and monitor instrument performance. Typical UVES QC parameters are: bias level, read-out-noise, dark current of the three CCD detectors used in the instrument, rms of dispersion, resolving power, CCD pixel-to-pixel gain structure, instrument efficiency. The measured data are fed into a database, compared to earlier data, trended over time and published on the web (http://www.eso.org/qc/index_uves.html). The QC system has evolved with time and proven to be extremely useful. Some examples are given which highlight the impact of careful QC on instrument performance.

Hanuschik, Reinhard W.; Kaufer, Andreas; Modigliani, Andrea; D'Odorico, Sandro; Dekker, Hans

2002-12-01

193

Tools for quality control of fingerprint databases  

NASA Astrophysics Data System (ADS)

Integrity of fingerprint data is essential to biometric and forensic applications. Accordingly, the FBI's Criminal Justice Information Services (CJIS) Division has sponsored development of software tools to facilitate quality control functions relative to maintaining its fingerprint data assets inherent to the Integrated Automated Fingerprint Identification System (IAFIS) and Next Generation Identification (NGI). This paper provides an introduction of two such tools. The first FBI-sponsored tool was developed by the National Institute of Standards and Technology (NIST) and examines and detects the spectral signature of the ridge-flow structure characteristic of friction ridge skin. The Spectral Image Validation/Verification (SIVV) utility differentiates fingerprints from non-fingerprints, including blank frames or segmentation failures erroneously included in data; provides a "first look" at image quality; and can identify anomalies in sample rates of scanned images. The SIVV utility might detect errors in individual 10-print fingerprints inaccurately segmented from the flat, multi-finger image acquired by one of the automated collection systems increasing in availability and usage. In such cases, the lost fingerprint can be recovered by re-segmentation from the now compressed multi-finger image record. The second FBI-sponsored tool, CropCoeff was developed by MITRE and thoroughly tested via NIST. CropCoeff enables cropping of the replacement single print directly from the compressed data file, thus avoiding decompression and recompression of images that might degrade fingerprint features necessary for matching.

Swann, B. Scott; Libert, John M.; Lepley, Margaret A.

2010-04-01

194

Quality control of radiation therapy equipment.  

PubMed

A review is given dealing mainly with the quality control functional performance characteristics of medical electron accelerators as the leading case of all equipment for radiotherapy. The International Electrotechnical Commission (IEC) has prepared a standard and a report, which are now in print. The standard addresses the definition of functional performance characteristics, the specification of test methods and conditions and the obligation of the manufacturer to declare the actual performance values of his equipment in a standardized format. In Germany, a translation of this standard is published as draft standard DIN 6847 part 4. IEC has prepared for simplified test procedures a report with guidelines and a reduced volume of test conditions for periodic tests during the working life of the accelerator. In Germany a standard DIN 6847 part 5 is published on "constancy checks" which is slightly but characteristically different from the IEC Report. The differences are schematically listed and discussed. PMID:3406452

Rassow, J

1988-05-01

195

10 CFR 26.167 - Quality assurance and quality control.  

Code of Federal Regulations, 2011 CFR

...performing confirmatory drug tests. (1) Confirmatory tests for drugs and drug metabolites must be performed using gas chromatography/mass spectrometry (GC/MS) or other confirmatory test methodologies that HHS-certified laboratories are...

2011-01-01

196

10 CFR 26.167 - Quality assurance and quality control.  

Code of Federal Regulations, 2013 CFR

...performing confirmatory drug tests. (1) Confirmatory tests for drugs and drug metabolites must be performed using gas chromatography/mass spectrometry (GC/MS) or other confirmatory test methodologies that HHS-certified laboratories are...

2013-01-01

197

Science Laboratories and Indoor Air Quality in Schools. Technical Bulletin.  

ERIC Educational Resources Information Center

Some of the issues surrounding the indoor air quality (IAQ) problems presented by science labs are discussed. Described are possible contaminants in labs, such as chemicals and biological organisms, and ways to lessen accidents arising from these sources are suggested. Some of the factors contributing to comfort, such as temperature levels, are…

Jacobs, Bruce W.

198

MAP3S/RAINE precipitation chemistry network: quality control  

SciTech Connect

The participants of the precipitation chemistry network of the Multi-State Atmospheric Power Production Pollution Study/Regional Acidity of Industrial Emissions (MAP3S/RAINE) have developed procedures for maintenance of high quality output from the network operation. The documented procedures-most of which were in place before the network began sampling in 1976-include those for site selection and verification, field equipment, laboratory and data handling, and external laboratory quality testing.

Not Available

1980-10-01

199

7 CFR 58.141 - Alternate quality control program.  

Code of Federal Regulations, 2011 CFR

...2011-01-01 false Alternate quality control program. 58.141 Section...Continued) AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing...Inspection and Grading Service 1 Quality Specifications for Raw Milk §...

2011-01-01

200

7 CFR 58.141 - Alternate quality control program.  

Code of Federal Regulations, 2010 CFR

...2010-01-01 false Alternate quality control program. 58.141 Section...Continued) AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing...Inspection and Grading Service 1 Quality Specifications for Raw Milk §...

2010-01-01

201

External quality assurance performance of clinical research laboratories in sub-saharan Africa.  

PubMed

Patient Safety Monitoring in International Laboratories (JHU-SMILE) is a resource at Johns Hopkins University that supports and monitors laboratories in National Institutes of Health-funded international clinical trials. To determine the impact of the JHU-SMILE quality assurance scheme in sub-Saharan African laboratories, we reviewed 40 to 60 months of external quality assurance (EQA) results of the College of American Pathologists (CAP) in these laboratories. We reviewed the performance of 8 analytes: albumin, alanine aminotransferase, creatinine, sodium, WBC, hemoglobin, hematocrit, and the human immunodeficiency virus antibody rapid test. Over the 40- to 60-month observation period, the sub-Saharan laboratories had a 1.63% failure rate, which was 40% lower than the 2011 CAP-wide rate of 2.8%. Seventy-six percent of the observed EQA failures occurred in 4 of the 21 laboratories. These results demonstrate that a system of remote monitoring, feedback, and audits can support quality in low-resource settings, even in places without strong regulatory support for laboratory quality. PMID:23086773

Amukele, Timothy K; Michael, Kurt; Hanes, Mary; Miller, Robert E; Jackson, J Brooks

2012-11-01

202

TECHNICAL GUIDANCE DOCUMENT: QUALITY ASSURANCE AND QUALITY CONTROL FOR WASTE CONTAINMENT FACILITIES  

EPA Science Inventory

This Technical Guidance Document provides comprehensive guidance on procedures for quality assurance and quality control for waste containment facilities. The document includes a discussion of principles and concepts, compacted soil liners, soil drainage systems, geosynthetic dr...

203

TECHNICAL GUIDANCE DOCUMENT: QUALITY ASSURANCE AND QUALITY CONTROL FOR WASTE CONTAINMENT FACILITIES  

EPA Science Inventory

This Technical Guidance Document provides comprehensive guidance on procedures for quality assurance and quality control for waste containment facilities. he document includes a discussion of principles and concepts, compacted soil liners, soil drainage systems, geosynthetic drai...

204

Scoping Document: Water Quality Control Policy on the  

E-print Network

Scoping Document: Water Quality Control Policy on the Use of Coastal and Estuarine Waters For Power Plant Cooling State Water Resources Control Board California Environmental Protection Agency March 2008 #12;Scoping Document: Water Quality Control Policy on the Use of Coastal and Estuarine Waters

205

40 CFR 81.109 - Florence Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Florence Intrastate Air Quality Control Region...Quality Control Regions § 81.109 Florence Intrastate Air Quality Control Region. The Florence Intrastate Air Quality Control...

2010-07-01

206

40 CFR 81.190 - Eastern Idaho Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Eastern Idaho Intrastate Air Quality Control Region...Quality Control Regions § 81.190 Eastern Idaho Intrastate Air Quality Control Region. The Eastern Idaho Intrastate Air Quality Control...

2011-07-01

207

40 CFR 81.190 - Eastern Idaho Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Eastern Idaho Intrastate Air Quality Control Region...Quality Control Regions § 81.190 Eastern Idaho Intrastate Air Quality Control Region. The Eastern Idaho Intrastate Air Quality Control...

2010-07-01

208

40 CFR 81.190 - Eastern Idaho Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Eastern Idaho Intrastate Air Quality Control Region...Quality Control Regions § 81.190 Eastern Idaho Intrastate Air Quality Control Region. The Eastern Idaho Intrastate Air Quality Control...

2012-07-01

209

40 CFR 81.190 - Eastern Idaho Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Eastern Idaho Intrastate Air Quality Control Region...Quality Control Regions § 81.190 Eastern Idaho Intrastate Air Quality Control Region. The Eastern Idaho Intrastate Air Quality Control...

2014-07-01

210

40 CFR 81.190 - Eastern Idaho Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Eastern Idaho Intrastate Air Quality Control Region...Quality Control Regions § 81.190 Eastern Idaho Intrastate Air Quality Control Region. The Eastern Idaho Intrastate Air Quality Control...

2013-07-01

211

External Quality Assessment Scheme for reference laboratories - review of 8 years' experience.  

PubMed

We describe an External Quality Assessment Scheme (EQAS) intended for reference (calibration) laboratories in laboratory medicine and supervised by the Scientific Division of the International Federation of Clinical Chemistry and Laboratory Medicine and the responsible Committee on Traceability in Laboratory Medicine. The official EQAS website, RELA (www.dgkl-rfb.de:81), is open to interested parties. Information on all requirements for participation and results of surveys are published annually. As an additional feature, the identity of every participant in relation to the respective results is disclosed. The results of various groups of measurands (metabolites and substrates, enzymes, electrolytes, glycated hemoglobins, proteins, hormones, thyroid hormones, therapeutic drugs) are discussed in detail. The RELA system supports reference measurement laboratories preparing for accreditation according to ISO 17025 and ISO 15195. Participation in a scheme such as RELA is one of the requirements for listing of the services of a calibration laboratory by the Joint Committee on Traceability in Laboratory Medicine. PMID:23327864

Kessler, Anja; Siekmann, Lothar; Weykamp, Cas; Geilenkeuser, Wolf Jochen; Dreazen, Orna; Middle, Jonathan; Schumann, Gerhard

2013-05-01

212

Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan : ASC software quality engineering practices Version 3.0.  

SciTech Connect

The purpose of the Sandia National Laboratories (SNL) Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. Quality is defined in the US Department of Energy/National Nuclear Security Agency (DOE/NNSA) Quality Criteria, Revision 10 (QC-1) as 'conformance to customer requirements and expectations'. This quality plan defines the SNL ASC Program software quality engineering (SQE) practices and provides a mapping of these practices to the SNL Corporate Process Requirement (CPR) 001.3.6; 'Corporate Software Engineering Excellence'. This plan also identifies ASC management's and the software project teams responsibilities in implementing the software quality practices and in assessing progress towards achieving their software quality goals. This SNL ASC Software Quality Plan establishes the signatories commitments to improving software products by applying cost-effective SQE practices. This plan enumerates the SQE practices that comprise the development of SNL ASC's software products and explains the project teams opportunities for tailoring and implementing the practices.

Turgeon, Jennifer L.; Minana, Molly A.; Hackney, Patricia; Pilch, Martin M.

2009-01-01

213

Evaluation of Abrupt Grounding as Quality Control Method for HVDC Extruded Cables  

Microsoft Academic Search

This paper presents results from laboratory experiments performed in order to evaluate different methods for quality control of polymeric insulated HVDC cables. In this work, we have investigated the effect of short term (24 h) DC stress followed by rapid grounding of the cable. This is comparable to a voltage step of -Usub0\\/sub at the point of grounding ,and depending

Frank Mauseth; Erling Ildstad; Rolf Hegerberg; Marc Jeroense; Bjørn Sanden; Jan Erik Larsen

2009-01-01

214

[Definition and control of the processes involved in the quality management].  

PubMed

The aim of this article is to describe the processes involved in the organisation and function of the medical laboratory to fulfill the needs of the users. The knowledge of the different interfaces and relationship is a condition for the control of the processes according to the quality management system. PMID:23765010

Daunizeau, A

2013-06-01

215

A controllable laboratory stock market for modeling real stock markets  

NASA Astrophysics Data System (ADS)

Based on the different research approaches, econophysics can be divided into three directions: empirical econophysics, computational econophysics, and experimental econophysics. Because empirical econophysics lacks controllability that is needed to study the impacts of different external conditions and computational econophysics has to adopt artificial decision-making processes that are often deviated from those of real humans, experimental econophysics tends to overcome these problems by offering controllability and using real humans in laboratory experiments. However, to our knowledge, the existing laboratory experiments have not convincingly reappeared the stylized facts (say, scaling) that have been revealed for real economic/financial markets by econophysicists. A most important reason is that in these experiments, discrete trading time makes these laboratory markets deviated from real markets where trading time is naturally continuous. Here we attempt to overcome this problem by designing a continuous double-auction stock-trading market and conducting several human experiments in laboratory. As an initial work, the present artificial financial market can reproduce some stylized facts related to clustering and scaling. Also, it predicts some other scaling in human behavior dynamics that is hard to achieve in real markets due to the difficulty in getting the data. Thus, it becomes possible to study real stock markets by conducting controlled experiments on such laboratory stock markets producing high frequency data.

An, Kenan; Li, Xiaohui; Yang, Guang; Huang, Jiping

2013-10-01

216

Remote Laboratory Architecture for the Validation of Industrial Control Applications  

Microsoft Academic Search

The seven engineering degrees of the Higher Technical School of Design Engineering (ETSID), Technical University of Valencia, include in their formation programs, subjects, and laboratory projects to instruct students in the aspects of the design, development, and validation of applications for process control, automation, industrial informatics, and embedded systems. Moreover, the authors participate in European projects of education such as

Houcine Hassan; Carlos Dominguez; Juan-Miguel Martinez; Angel Perles; JosÉ Albaladejo

2007-01-01

217

Setting up and running a control research laboratory  

Microsoft Academic Search

Setting up and managing a control research laboratory can be a time-consuming and labor-intensive undertaking. The author offers helpful advice based on his own experience, much of it learned by sometimes painful trial and error, in the hope that this advice will help you avoid some of the difficulties that you might otherwise encounter. Questions addressed are whether to build

D. S. Bernstein

2003-01-01

218

Millikan's Oil-Drop Experiment as a Remotely Controlled Laboratory  

ERIC Educational Resources Information Center

The Millikan oil-drop experiment, to determine the elementary electrical charge e and the quantization of charge Q = n [middle dot] e, is an essential experiment in physics teaching but it is hardly performed in class for several reasons. Therefore, we offer this experiment as a remotely controlled laboratory (RCL). We describe the interactivity…

Eckert, Bodo; Grober, Sebastian; Vetter, Martin; Jodl, Hans-Jorg

2012-01-01

219

Experimenting from a Distance--Remotely Controlled Laboratory (RCL)  

ERIC Educational Resources Information Center

The use of computers and multimedia, as well as the World Wide Web and new communication technologies, allows new forms of teaching and learning such as distance learning, blended learning, use of virtual libraries and many more. The herewith discussed remotely controlled laboratory (RCL) project shall offer an additional contribution. The basic…

Grober, Sebastian; Vetter, Martin; Eckert, Bodo; Jodl, Hans-Jorg

2007-01-01

220

Multicentre determination of quality control strains and quality control ranges for antifungal susceptibility testing of yeasts and filamentous fungi using the methods of the Antifungal Susceptibility Testing Subcommittee of the European Committee on Antimicrobial Susceptibility Testing (AFST-EUCAST)  

Microsoft Academic Search

A multicentre study involving seven laboratories was performed using techniques recommended by the Antifungal Susceptibility Testing Subcommittee of the European Committee on Antimicrobial Suscepti- bility Testing (AFST-EUCAST) to evaluate and propose quality control ranges and strains for susceptibility testing of fermentative yeasts and filamentous fungi. Participating laboratories tested the susceptibilities of a panel of 12 encoded isolates to amphotericin B,

M. Cuenca-Estrella; M. C. Arendrup; E. Chryssanthou; E. Dannaoui; C. Lass-Florl; P. Sandven; A. Velegraki; J. L. Rodriguez-Tudela

2007-01-01

221

Quality control on radiant heaters manufacture  

NASA Astrophysics Data System (ADS)

An inspection process of radiant heaters is presented in this paper. The proposed non destructive testing and evaluation (NDT and E) technique for defect assessment of radiant heaters is based on infrared thermography images properly acquired and processed. The technique can be used in on-line fabrication quality control radiant heaters manufacturing processes. By exciting the heater with a very short electrical pulse, a sequence of thermographic images is captured by an infrared camera and then analyzed. Regardless of the electrical excitation applied to the heating element of the heater, the electrical power supplied will dissipate at the resistor. Provided enough spatial resolution, the heaters could be tested with an infrared camera capturing the radiated heat. The analysis of the heating wire during the heating flank shows differences among pixels corresponding to defective points and pixels belonging to non-defective areas of the wire. The automation is provided by the development of an algorithm that looks for the slope of the heating evolution of each pixel. A Radon Transform based algorithm is here proposed to reduce human intervention providing just one image where an operator could quickly locate possible defects.

González, Daniel A.; Madruga, Francisco J.; Ibarra-Castanedo, Clemente; Conde, Olga; López-Higuera, Jose M.

2006-04-01

222

21 CFR 111.117 - What quality control operations are required for equipment, instruments, and controls?  

Code of Federal Regulations, 2014 CFR

...CONSUMPTION CURRENT GOOD MANUFACTURING PRACTICE IN MANUFACTURING, PACKAGING, LABELING, OR HOLDING OPERATIONS FOR DIETARY SUPPLEMENTS Production and Process Control System: Requirements for Quality Control § 111.117 What quality...

2014-04-01

223

Integrated Quality Control Measurement Project. Findings and Corrective Actions.  

ERIC Educational Resources Information Center

The Integrated Quality Control Measurement Project (IQCMP) of the U.S. Department of Education measured the quality of awards distributed during the 1988-89 award year under the three major Title IV programs: the Pell Grant program, the Campus-Based programs, and the Stafford Loan program, in order to evaluate and improve the quality of the…

Price Waterhouse and Co., New York, NY.

224

Quality cost control model based on fuzzy neural network  

Microsoft Academic Search

In order to develop a new quality cost control model, the paper first sets the third level subject of quality cost base on the PAF model, which is that quality cost is composed of prevention cost, appraisal cost, failure cost and does Pareto analysis according to the history data, finding the main influential subjects, second, it uses correlation analysis and

Shang Shan-Shan; You Jian-Xin

2009-01-01

225

A simple and rapid test for quality control of liquid media, using the bioscreen microbiological growth analyser  

Microsoft Academic Search

Most commercially produced dehydrated media are rigorously tested by the suppliers, but it is vital that performance is also checked by the consumer following reconstitution and sterilisation. Poor quality control (QC) of laboratory media can adversely affect the results of an entire microbiology laboratory, yet with simple tests the performance of culture media can be easily monitored. The performance of

Moira D Johnston

1998-01-01

226

Space Shuttle flying qualities and flight control system assessment study  

NASA Technical Reports Server (NTRS)

The suitability of existing and proposed flying quality and flight control system criteria for application to the space shuttle orbiter during atmospheric flight phases was assessed. An orbiter experiment for flying qualities and flight control system design criteria is discussed. Orbiter longitudinal and lateral-directional flying characteristics, flight control system lag and time delay considerations, and flight control manipulator characteristics are included. Data obtained from conventional aircraft may be inappropriate for application to the shuttle orbiter.

Myers, T. T.; Johnston, D. E.; Mcruer, D.

1982-01-01

227

Active control rotor model testing at Princeton's Rotorcraft Dynamics Laboratory  

NASA Technical Reports Server (NTRS)

A description of the model helicopter rotor tests currently in progress at Princeton's Rotorcraft Dynamics Laboratory is presented. The tests are designed to provide data for rotor dynamic modeling for use with active control system design. The model rotor to be used incoporates the capability for Individual Blade Control (IBC) or Higher Harmonic Control through the use of a standard swashplate on a three bladed hub. Sample results from the first series of tests are presented, along with the methodology used for state and parameter identification. Finally, pending experiments and possible research directions using this model and test facility are outlined.

Mckillip, Robert M., Jr.

1988-01-01

228

WUSCEEL: Washington University Structural Control and Earthquake Engineering Laboratory  

NSDL National Science Digital Library

The Washington University Structural Control and Earthquake Engineering Laboratory (WUSCEEL) hosts an active research group, whose work is documented on this site. The Research section has brief descriptions of several different techniques for controlling building motion during earthquakes, experiments performed in the lab, and seismic issues related to bridges. Accompanying each research summary are several journal papers and technical reports that provide much more in-depth discussions of work done at the lab. A few short video clips are also presented, demonstrating principles of base isolation and damper control.

229

Production of High Quality Dust Control Foam to Minimize Moisture Addition to Coal  

E-print Network

PRODUCTION OF HIGH QUALITY DUST CONTROL FOAM TO MINIMIZE MOISTURE ADDITION TO COAL Frank Tenni ne Steve T. Jordan BETZ Laboratories, Trevose, PA Inc. ABSTRACT Foam is displacing wet suppression as the method of choice for controlling... fugitive emissions from coal. Coal treated by wet suppression consumes through moisture addition, a heat energy equivalent of 1 ton out of every 500 tons fired. The application of foam requires less than 10% of the moisture usually required for wet...

Termine, F.; Jordan, S. T.

230

Statistical Quality Control Process for Traditional Chinese Medicine  

Microsoft Academic Search

The statistical quality control process on raw materials and\\/or the final product of traditional Chinese medicine (TCM) is examined. We develop a statistical quality control (QC) method to assess a proposed consistency index of raw materials from different sources and\\/or final products manufactured at different sites. The idea is to construct a 95% confidence interval for a proposed consistency index

Siu-Keung Tse; Jang-yang Chang; Wei-Lun Su; Shein-Chung Chow; Chao Hsiung; Qingshu Lu

2006-01-01

231

Artificial Intelligence Approach to Support Statistical Quality Control Teaching  

ERIC Educational Resources Information Center

Statistical quality control--SQC (consisting of Statistical Process Control, Process Capability Studies, Acceptance Sampling and Design of Experiments) is a very important tool to obtain, maintain and improve the Quality level of goods and services produced by an organization. Despite its importance, and the fact that it is taught in technical and…

Reis, Marcelo Menezes; Paladini, Edson Pacheco; Khator, Suresh; Sommer, Willy Arno

2006-01-01

232

Quality Control Study of the GSL Reinsurance System. Final Report.  

ERIC Educational Resources Information Center

A quality control plan for the U.S. Department of Education's Guaranteed Student Loan (GSL) reinsurance process was developed. To identify existing errors, systems documentation and past analyses of the reinsurance system were analyzed, and interviews were conducted. Corrective actions were proposed, and a quality control checklist was developed…

Advanced Technology, Inc., Reston, VA.

233

Accruals Quality and Internal Control over Financial Reporting  

Microsoft Academic Search

We examine the relation between accruals quality and internal controls using 705 firms that disclosed at least one material weakness from August 2002 to November 2005 and find that weaknesses are generally associated with poorly esti- mated accruals that are not realized as cash flows. Further, we find that this relation between weak internal controls and lower accruals quality is

Jeffrey T. Doyle; Weili Ge; Sarah McVay

2007-01-01

234

Transformer Thermal Modeling: Improving Reliability Using Data Quality Control  

E-print Network

1 Transformer Thermal Modeling: Improving Reliability Using Data Quality Control Daniel J. Tylavsky challenge to using these models is to assess their reliability and improve their reliability as much as possible. In this work, we use data-quality control and data-set screening to show that model reliability

235

Piloting Laboratory Quality System Management in Six Health Facilities in Nigeria  

PubMed Central

Background Achieving accreditation in laboratories is a challenge in Nigeria like in most African countries. Nigeria adopted the World Health Organization Regional Office for Africa Stepwise Laboratory (Quality) Improvement Process Towards Accreditation (WHO/AFRO– SLIPTA) in 2010. We report on FHI360 effort and progress in piloting WHO-AFRO recognition and accreditation preparedness in six health facility laboratories in five different states of Nigeria. Method Laboratory assessments were conducted at baseline, follow up and exit using the WHO/AFRO– SLIPTA checklist. From the total percentage score obtained, the quality status of laboratories were classified using a zero to five star rating, based on the WHO/AFRO quality improvement stepwise approach. Major interventions include advocacy, capacity building, mentorship and quality improvement projects. Results At baseline audit, two of the laboratories attained 1- star while the remaining four were at 0- star. At follow up audit one lab was at 1- star, two at 3-star and three at 4-star. At exit audit, four labs were at 4- star, one at 3-star and one at 2-star rating. One laboratory dropped a ‘star’ at exit audit, while others consistently improved. The two weakest elements at baseline; internal audit (4%) and occurrence/incidence management (15%) improved significantly, with an exit score of 76% and 81% respectively. The elements facility and safety was the major strength across board throughout the audit exercise. Conclusion This effort resulted in measurable and positive impact on the laboratories. We recommend further improvement towards a formal international accreditation status and scale up of WHO/AFRO– SLIPTA implementation in Nigeria. PMID:25542022

Mbah, Henry; Ojo, Emmanuel; Ameh, James; Musuluma, Humphrey; Negedu-Momoh, Olubunmi Ruth; Jegede, Feyisayo; Ojo, Olufunmilayo; Uwakwe, Nkem; Ochei, Kingsley; Dada, Michael; Udah, Donald; Chiegil, Robert; Torpey, Kwasi

2014-01-01

236

40 CFR 81.275 - Lake Tahoe Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

... 2014-07-01 2014-07-01 false Lake Tahoe Intrastate Air Quality Control Region...Air Quality Control Regions § 81.275 Lake Tahoe Intrastate Air Quality Control Region. The Lake Tahoe Intrastate Air Quality...

2014-07-01

237

40 CFR 81.275 - Lake Tahoe Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

... 2011-07-01 2011-07-01 false Lake Tahoe Intrastate Air Quality Control Region...Air Quality Control Regions § 81.275 Lake Tahoe Intrastate Air Quality Control Region. The Lake Tahoe Intrastate Air Quality...

2011-07-01

238

40 CFR 81.275 - Lake Tahoe Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

... 2010-07-01 2010-07-01 false Lake Tahoe Intrastate Air Quality Control Region...Air Quality Control Regions § 81.275 Lake Tahoe Intrastate Air Quality Control Region. The Lake Tahoe Intrastate Air Quality...

2010-07-01

239

40 CFR 81.273 - Lake County Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

... 2014-07-01 2014-07-01 false Lake County Intrastate Air Quality Control Region...Air Quality Control Regions § 81.273 Lake County Intrastate Air Quality Control Region. The Lake County Intrastate Air Quality...

2014-07-01

240

40 CFR 81.275 - Lake Tahoe Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

... 2012-07-01 2012-07-01 false Lake Tahoe Intrastate Air Quality Control Region...Air Quality Control Regions § 81.275 Lake Tahoe Intrastate Air Quality Control Region. The Lake Tahoe Intrastate Air Quality...

2012-07-01

241

40 CFR 81.273 - Lake County Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

... 2013-07-01 2013-07-01 false Lake County Intrastate Air Quality Control Region...Air Quality Control Regions § 81.273 Lake County Intrastate Air Quality Control Region. The Lake County Intrastate Air Quality...

2013-07-01

242

40 CFR 81.273 - Lake County Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

... 2010-07-01 2010-07-01 false Lake County Intrastate Air Quality Control Region...Air Quality Control Regions § 81.273 Lake County Intrastate Air Quality Control Region. The Lake County Intrastate Air Quality...

2010-07-01

243

40 CFR 81.275 - Lake Tahoe Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

... 2013-07-01 2013-07-01 false Lake Tahoe Intrastate Air Quality Control Region...Air Quality Control Regions § 81.275 Lake Tahoe Intrastate Air Quality Control Region. The Lake Tahoe Intrastate Air Quality...

2013-07-01

244

40 CFR 81.273 - Lake County Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

... 2011-07-01 2011-07-01 false Lake County Intrastate Air Quality Control Region...Air Quality Control Regions § 81.273 Lake County Intrastate Air Quality Control Region. The Lake County Intrastate Air Quality...

2011-07-01

245

40 CFR 81.35 - Louisville Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Louisville Interstate Air Quality Control Region...Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville Interstate Air Quality...

2011-07-01

246

40 CFR 81.35 - Louisville Interstate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Louisville Interstate Air Quality Control Region...Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville Interstate Air Quality...

2010-07-01

247

40 CFR 81.35 - Louisville Interstate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Louisville Interstate Air Quality Control Region...Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville Interstate Air Quality...

2013-07-01

248

40 CFR 81.35 - Louisville Interstate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Louisville Interstate Air Quality Control Region...Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville Interstate Air Quality...

2012-07-01

249

40 CFR 81.35 - Louisville Interstate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Louisville Interstate Air Quality Control Region...Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville Interstate Air Quality...

2014-07-01

250

Comparison of laboratory and field remote sensing methods to measure forage quality.  

PubMed

Recent research in range ecology has emphasized the importance of forage quality as a key indicator of rangeland condition. However, we lack tools to evaluate forage quality at scales appropriate for management. Using canopy reflectance data to measure forage quality has been conducted at both laboratory and field levels separately, but little work has been conducted to evaluate these methods simultaneously. The objective of this study is to find a reliable way of assessing grassland quality through measuring forage chemistry with reflectance. We studied a mixed grass ecosystem in Grasslands National Park of Canada and surrounding pastures, located in southern Saskatchewan. Spectral reflectance was collected at both in-situ field level and in the laboratory. Vegetation samples were collected at each site, sorted into the green grass portion, and then sent to a chemical company for measuring forage quality variables, including protein, lignin, ash, moisture at 135 °C, Neutral Detergent Fiber (NDF), Acid Detergent Fiber (ADF), Total Digestible, Digestible Energy, Net Energy for Lactation, Net Energy for Maintenance, and Net Energy for Gain. Reflectance data were processed with the first derivative transformation and continuum removal method. Correlation analysis was conducted on spectral and forage quality variables. A regression model was further built to investigate the possibility of using canopy spectral measurements to predict the grassland quality. Results indicated that field level prediction of protein of mixed grass species was possible (r² = 0.63). However, the relationship between canopy reflectance and the other forage quality variables was not strong. PMID:20948940

Guo, Xulin; Wilmshurst, John F; Li, Zhaoqin

2010-09-01

251

Nuclear Technology Series. Course 14: Introduction to Quality Assurance/Quality Control.  

ERIC Educational Resources Information Center

This technical specialty course is one of thirty-five courses designed for use by two-year postsecondary institutions in five nuclear technician curriculum areas: (1) radiation protection technician, (2) nuclear instrumentation and control technician, (3) nuclear materials processing technician, (4) nuclear quality-assurance/quality-control

Technical Education Research Center, Waco, TX.

252

Slew maneuvers of Spacecraft Control Laboratory Experiment (SCOLE)  

NASA Technical Reports Server (NTRS)

This is the final report on the dynamics and control of slew maneuvers of the Spacecraft Control Laboratory Experiment (SCOLE) test facility. The report documents the basic dynamical equation derivations for an arbitrary large angle slew maneuver as well as the basic decentralized slew maneuver control algorithm. The set of dynamical equations incorporate rigid body slew maneuver and three dimensional vibrations of the complete assembly comprising the rigid shuttle, the flexible beam, and the reflector with an offset mass. The analysis also includes kinematic nonlinearities of the entire assembly during the maneuver and the dynamics of the interactions between the rigid shuttle and the flexible appendage. The equations are simplified and evaluated numerically to include the first ten flexible modes to yield a model for designing control systems to perform slew maneuvers. The control problem incorporates the nonlinear dynamical equations and is expressed in terms of a two point boundary value problem.

Kakad, Yogendra P.

1992-01-01

253

Agricultural biological reference materials for analytical quality control  

SciTech Connect

Cooperative work is under way at Agriculture Canada, US Department of Agriculture, and US National Bureau of Standards in an attempt to fill some of the gaps in the world repertoire of reference materials and to provide much needed control materials for laboratories' day to day operations. This undertaking involves the preparation and characterization of a number of agricultural and food materials for data quality control for inorganic constituents. Parameters considered in the development of these materials were material selection based on importance in commerce and analysis; techniques of preparation, processing, and packaging; physical and chemical characterization; homogeneity testing and quantitation (certification). A large number of agricultural/food products have been selected to represent a wide range of not only levels of sought-for constituents (elements) but also a wide range of matrix components such as protein, carbohydrate, dietary fiber, fat, and ash. Elements whose concentrations are being certified cover some two dozen major, minor, and trace elements of nutritional, toxicological, and environmental significance.

Ihnat, M.

1986-01-01

254

Annular Momentum Control Device (AMCD). Volume 1: Laboratory model development  

NASA Technical Reports Server (NTRS)

The annular momentum control device (AMCD) a thin hoop-like wheel with neither shaft nor spokes is described. The wheel floats in a magnetic field and can be rotated by a segmented motor. Potential advantages of such a wheel are low weight, configuration flexibility, a wheel that stiffens with increased speed, vibration isolation, and increased reliability. The analysis, design, fabrication, and testing is described of the laboratory model of the AMCD.

1975-01-01

255

Teaching Quality Control with Chocolate Chip Cookies  

ERIC Educational Resources Information Center

Chocolate chip cookies are used to illustrate the importance and effectiveness of control charts in Statistical Process Control. By counting the number of chocolate chips, creating the spreadsheet, calculating the control limits and graphing the control charts, the student becomes actively engaged in the learning process. In addition, examining…

Baker, Ardith

2014-01-01

256

Quality assurance and quality control for autonomously collected geoscience data  

NASA Astrophysics Data System (ADS)

The growing interest in processes, coupled with the reduction in cost and complexity of sensors which allow for continuous data collection and transmission is giving rise to vast amounts of semi autonomously collected data. Such data is typically collected from a range of physical and chemical sensors and transmitted - either at the time of collection, or periodically as a collection of measurements - to a central server. Such setups can collect vast amounts of data. In cases where power is not an issue one datapoint can be collected every minute, resulting in tens of thousands of data points per month per sensor. Especially in cases in which multiple sensors are deployed it is infeasible to examine each individual datapoint for each individual sensor, and users typically will look at aggregates of such data on a periodic (once a week to once every few months) basis. Such aggregates (and the timelag between data collection and data evaluation) will impact the ability to rapidly identify and resolve data issues. Thus, there is a need to integrate data qa/qc rules and procedures in the data collection process. These should be implemented such that data is analyzed for compliance the moment it arrives at the server, and that any issues with this data result in notification of cognizant personnel. Typical issues (encountered in the field) include complete system failure (resulting in no data arriving at all), to complete sensor failure (data is collected, but is meaningless), to partial sensor failure (sensor gives erratic readings, or starts to exhibit a bias) to partial powerloss (system collects and transmits data only intermittently). We have implemented a suite of such rules and tests as part of the INL developed performance monitoring system. These rules are invoked as part of a data qa/qc workflow, and result in quality indicators for each datapoint as well as user alerts in case of issues. Tests which are applied to the data include tests on individual datapoints, tests on suites of datapoints, and tests applied over the whole dataset. Example of tests include: Did data arrive on time, is received data in a valid format, are all measurements present, is data within valid range, is data collected at appropriate time intervals, are the statistics of the data changing over time and is the data collected within an appropriate instrument calibration window? This approach, which is executed automatically on all data provides data end users with confidence and auditability regarding the quality and useability of autonomously collected data.

Versteeg, R. J.; Richardson, A.; Labrecque, D.

2006-12-01

257

Vibration control for precision manufacturing at Sandia National Laboratories  

SciTech Connect

Sandia National Laboratories performs R and D in structural dynamics and vibration suppression for precision applications in weapon systems, space, underwater, transportation and civil structures. Over the last decade these efforts have expanded into the areas of active vibration control and ``smart`` structures and material systems. In addition, Sandia has focused major resources towards technology to support weapon product development and agile manufacturing capability for defense and industrial applications. This paper will briefly describe the structural dynamics modeling and verification process currently in place at Sandia that supports vibration control and some specific applications of these techniques to manufacturing in the areas of lithography, machine tools and flexible robotics.

Hinnerichs, T.; Martinez, D. [Sandia National Labs., Albuquerque, NM (United States). Structural Dynamics and Vibration Control Dept.

1995-04-01

258

Importance of the Primary Radioactivity Standard Laboratory and Implementation of its Quality Management  

NASA Astrophysics Data System (ADS)

The paper presents some specific aspects of the implementation of the quality management in the Radionuclide Metrology Laboratory, from IFIN-HH, the owner of the primary Romanian standard in radioactivity. The description of the accreditation, according to the EN ISO/IEC 17025:2005, is presented.

Sahagia, Maria; Razdolescu, Anamaria Cristina; Luca, Aurelian; Ivan, Constantin

2007-04-01

259

Quality assurance consideration for cement-based grout technology programs at Oak Ridge National Laboratory  

Microsoft Academic Search

Oak Ridge National Laboratory has developed and is continuing to refine a method of immobilizing low-level radioactive liquid wastes by mixing them with cementitious dry-solid blends. A quality assurance program is vital to the project because Nuclear Regulatory Commission (NRC), Environmental Protection Agency (EPA) and state environmental regulations must be demonstrably met (the work must be defensible in a court

E. W. McDaniel; O. K. Tallent; T. L. Sams; D. B. Delzer

1987-01-01

260

40 CFR 81.167 - Southeast Desert Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Southeast Desert Intrastate Air Quality Control Region...Control Regions § 81.167 Southeast Desert Intrastate Air Quality Control Region. The Southeast Desert Intrastate Air Quality Control...

2013-07-01

261

40 CFR 81.167 - Southeast Desert Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Southeast Desert Intrastate Air Quality Control Region...Control Regions § 81.167 Southeast Desert Intrastate Air Quality Control Region. The Southeast Desert Intrastate Air Quality Control...

2012-07-01

262

40 CFR 81.167 - Southeast Desert Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Southeast Desert Intrastate Air Quality Control Region...Control Regions § 81.167 Southeast Desert Intrastate Air Quality Control Region. The Southeast Desert Intrastate Air Quality Control...

2014-07-01

263

40 CFR 81.167 - Southeast Desert Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Southeast Desert Intrastate Air Quality Control Region...Control Regions § 81.167 Southeast Desert Intrastate Air Quality Control Region. The Southeast Desert Intrastate Air Quality Control...

2011-07-01

264

40 CFR 81.122 - Mississippi Delta Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Mississippi Delta Intrastate Air Quality Control Region...Control Regions § 81.122 Mississippi Delta Intrastate Air Quality Control Region. The Mississippi Delta Intrastate Air Quality Control...

2011-07-01

265

40 CFR 81.122 - Mississippi Delta Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Mississippi Delta Intrastate Air Quality Control Region...Control Regions § 81.122 Mississippi Delta Intrastate Air Quality Control Region. The Mississippi Delta Intrastate Air Quality Control...

2012-07-01

266

40 CFR 81.122 - Mississippi Delta Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Mississippi Delta Intrastate Air Quality Control Region...Control Regions § 81.122 Mississippi Delta Intrastate Air Quality Control Region. The Mississippi Delta Intrastate Air Quality Control...

2013-07-01

267

40 CFR 81.122 - Mississippi Delta Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Mississippi Delta Intrastate Air Quality Control Region...Control Regions § 81.122 Mississippi Delta Intrastate Air Quality Control Region. The Mississippi Delta Intrastate Air Quality Control...

2010-07-01

268

40 CFR 81.122 - Mississippi Delta Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Mississippi Delta Intrastate Air Quality Control Region...Control Regions § 81.122 Mississippi Delta Intrastate Air Quality Control Region. The Mississippi Delta Intrastate Air Quality Control...

2014-07-01

269

40 CFR 81.25 - Metropolitan Kansas City Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Metropolitan Kansas City Interstate Air Quality Control Region...Control Regions § 81.25 Metropolitan Kansas City Interstate Air Quality Control Region. The Metropolitan Kansas City Interstate Air Quality Control...

2011-07-01

270

40 CFR 81.255 - Southwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Southwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.255 Southwest Kansas Intrastate Air Quality Control Region. The Southwest Kansas Intrastate Air Quality Control...

2012-07-01

271

40 CFR 81.254 - Southeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Southeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.254 Southeast Kansas Intrastate Air Quality Control Region. The Southeast Kansas Intrastate Air Quality Control...

2011-07-01

272

40 CFR 81.251 - Northeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Northeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.251 Northeast Kansas Intrastate Air Quality Control Region. The Northeast Kansas Intrastate Air Quality Control...

2010-07-01

273

40 CFR 81.251 - Northeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Northeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.251 Northeast Kansas Intrastate Air Quality Control Region. The Northeast Kansas Intrastate Air Quality Control...

2012-07-01

274

40 CFR 81.250 - North Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false North Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.250 North Central Kansas Intrastate Air Quality Control Region. The North Central Kansas Intrastate Air Quality Control...

2011-07-01

275

40 CFR 81.252 - Northwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Northwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.252 Northwest Kansas Intrastate Air Quality Control Region. The Northwest Kansas Intrastate Air Quality Control...

2011-07-01

276

40 CFR 81.255 - Southwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Southwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.255 Southwest Kansas Intrastate Air Quality Control Region. The Southwest Kansas Intrastate Air Quality Control...

2010-07-01

277

40 CFR 81.25 - Metropolitan Kansas City Interstate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Metropolitan Kansas City Interstate Air Quality Control Region...Control Regions § 81.25 Metropolitan Kansas City Interstate Air Quality Control Region. The Metropolitan Kansas City Interstate Air Quality Control...

2010-07-01

278

40 CFR 81.252 - Northwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Northwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.252 Northwest Kansas Intrastate Air Quality Control Region. The Northwest Kansas Intrastate Air Quality Control...

2012-07-01

279

40 CFR 81.250 - North Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false North Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.250 North Central Kansas Intrastate Air Quality Control Region. The North Central Kansas Intrastate Air Quality Control...

2013-07-01

280

40 CFR 81.255 - Southwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Southwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.255 Southwest Kansas Intrastate Air Quality Control Region. The Southwest Kansas Intrastate Air Quality Control...

2011-07-01

281

40 CFR 81.254 - Southeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Southeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.254 Southeast Kansas Intrastate Air Quality Control Region. The Southeast Kansas Intrastate Air Quality Control...

2013-07-01

282

40 CFR 81.25 - Metropolitan Kansas City Interstate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false Metropolitan Kansas City Interstate Air Quality Control Region...Control Regions § 81.25 Metropolitan Kansas City Interstate Air Quality Control Region. The Metropolitan Kansas City Interstate Air Quality Control...

2012-07-01

283

40 CFR 81.254 - Southeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Southeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.254 Southeast Kansas Intrastate Air Quality Control Region. The Southeast Kansas Intrastate Air Quality Control...

2012-07-01

284

40 CFR 81.251 - Northeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Northeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.251 Northeast Kansas Intrastate Air Quality Control Region. The Northeast Kansas Intrastate Air Quality Control...

2014-07-01

285

40 CFR 81.253 - South Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false South Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.253 South Central Kansas Intrastate Air Quality Control Region. The South Central Kansas Intrastate Air Quality Control...

2013-07-01

286

40 CFR 81.250 - North Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false North Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.250 North Central Kansas Intrastate Air Quality Control Region. The North Central Kansas Intrastate Air Quality Control...

2012-07-01

287

40 CFR 81.25 - Metropolitan Kansas City Interstate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false Metropolitan Kansas City Interstate Air Quality Control Region...Control Regions § 81.25 Metropolitan Kansas City Interstate Air Quality Control Region. The Metropolitan Kansas City Interstate Air Quality Control...

2014-07-01

288

40 CFR 81.253 - South Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false South Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.253 South Central Kansas Intrastate Air Quality Control Region. The South Central Kansas Intrastate Air Quality Control...

2011-07-01

289

40 CFR 81.255 - Southwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Southwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.255 Southwest Kansas Intrastate Air Quality Control Region. The Southwest Kansas Intrastate Air Quality Control...

2013-07-01

290

40 CFR 81.251 - Northeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Northeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.251 Northeast Kansas Intrastate Air Quality Control Region. The Northeast Kansas Intrastate Air Quality Control...

2013-07-01

291

40 CFR 81.254 - Southeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Southeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.254 Southeast Kansas Intrastate Air Quality Control Region. The Southeast Kansas Intrastate Air Quality Control...

2014-07-01

292

40 CFR 81.254 - Southeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Southeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.254 Southeast Kansas Intrastate Air Quality Control Region. The Southeast Kansas Intrastate Air Quality Control...

2010-07-01

293

40 CFR 81.255 - Southwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Southwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.255 Southwest Kansas Intrastate Air Quality Control Region. The Southwest Kansas Intrastate Air Quality Control...

2014-07-01

294

40 CFR 81.253 - South Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false South Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.253 South Central Kansas Intrastate Air Quality Control Region. The South Central Kansas Intrastate Air Quality Control...

2014-07-01

295

40 CFR 81.253 - South Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false South Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.253 South Central Kansas Intrastate Air Quality Control Region. The South Central Kansas Intrastate Air Quality Control...

2012-07-01

296

40 CFR 81.252 - Northwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Northwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.252 Northwest Kansas Intrastate Air Quality Control Region. The Northwest Kansas Intrastate Air Quality Control...

2013-07-01

297

40 CFR 81.252 - Northwest Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Northwest Kansas Intrastate Air Quality Control Region...Control Regions § 81.252 Northwest Kansas Intrastate Air Quality Control Region. The Northwest Kansas Intrastate Air Quality Control...

2014-07-01

298

40 CFR 81.251 - Northeast Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Northeast Kansas Intrastate Air Quality Control Region...Control Regions § 81.251 Northeast Kansas Intrastate Air Quality Control Region. The Northeast Kansas Intrastate Air Quality Control...

2011-07-01

299

40 CFR 81.25 - Metropolitan Kansas City Interstate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false Metropolitan Kansas City Interstate Air Quality Control Region...Control Regions § 81.25 Metropolitan Kansas City Interstate Air Quality Control Region. The Metropolitan Kansas City Interstate Air Quality Control...

2013-07-01

300

40 CFR 81.250 - North Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false North Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.250 North Central Kansas Intrastate Air Quality Control Region. The North Central Kansas Intrastate Air Quality Control...

2010-07-01

301

40 CFR 81.250 - North Central Kansas Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false North Central Kansas Intrastate Air Quality Control Region...Control Regions § 81.250 North Central Kansas Intrastate Air Quality Control Region. The North Central Kansas Intrastate Air Quality Control...

2014-07-01

302

40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Central Oklahoma Intrastate Air Quality Control Region...Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control...

2012-07-01

303

40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Central Oklahoma Intrastate Air Quality Control Region...Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control...

2013-07-01

304

40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Central Oklahoma Intrastate Air Quality Control Region...Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control...

2014-07-01

305

Data Quality Objectives Supporting Radiological Air Emissions Monitoring for the Marine Sciences Laboratory, Sequim Site  

SciTech Connect

This document of Data Quality Objectives (DQOs) was prepared based on the U.S. Environmental Protection Agency (EPA) Guidance on Systematic Planning Using the Data Quality Objectives Process, EPA, QA/G4, 2/2006 (EPA 2006), as well as several other published DQOs. The intent of this report is to determine the necessary steps required to ensure that radioactive emissions to the air from the Marine Sciences Laboratory (MSL) headquartered at the Pacific Northwest National Laboratory’s Sequim Marine Research Operations (Sequim Site) on Washington State’s Olympic Peninsula are managed in accordance with regulatory requirements and best practices. The Sequim Site was transitioned in October 2012 from private operation under Battelle Memorial Institute to an exclusive use contract with the U.S. Department of Energy, Office of Science, Pacific Northwest Site Office.

Barnett, J. M.; Meier, Kirsten M.; Snyder, Sandra F.; Antonio, Ernest J.; Fritz, Brad G.; Poston, Theodore M.

2012-12-27

306

Quality Control. Supervising. Technical Aspects of Supervision. The Choice Series #35. A Self Learning Opportunity.  

ERIC Educational Resources Information Center

This student guide is intended to assist persons employed as supervisors in improving their knowledge and skills in the area of quality control. Discussed in the first three sections are the following topics: quality and control (quality, measuring and achieving quality, controlling resources, and quality consciousness); quality control and…

Lawson, Fred

307

Minimum Cost Multivariate Quality Control Tests  

Microsoft Academic Search

An approximate expected cost model for the Hotelling T control chart is presented. This control chart is a multivariate analog of the X control chart. A method is presented to determine the optimal sample size, interval between samples, and critical region parameter for the T chart. Numerical results are provided for several bivariate problems for various values of the cost

Douglas C. Montgomery; Phillip J. Klatt

1972-01-01

308

Raw sequence data and quality control.  

PubMed

Next-generation sequencing technologies are extensively used in many fields of biology. One of the problems, related to the utilization of this kind of data, is the analysis of raw sequence quality and removal (trimming) of low-quality segments while retaining sufficient information for subsequent analyses. Here, we present a series of methods useful for converting and for refinishing one or more sequence files. One of the methods proposed, based on dynamic trimming, as implemented in the software StreamingTrim allows a fast and accurate trimming of sequence files, with low memory requirement. PMID:25343863

Bacci, Giovanni

2015-01-01

309

How to use continuous quality improvement theory and statistical quality control tools in a multispecialty clinic.  

PubMed

The management philosophy of continuous quality improvement (CQI) and the tools of statistical quality control (SQC) have the potential for advancing quality management in medicine as they have in industry. The authors report their favorable experience with the approach and explain how to adapt CQI principles and SQC charts and graphs, citing examples from their participation in a quality improvement effort in a multispecialty clinic serving a large hospital. The coupling of statistical techniques with modern approaches to outcome analysis may provide powerful tools not only for quality assurance and assessment but also for technology evaluation and resource allocation. PMID:2126081

Re, R N; Krousel-Wood, M A

1990-11-01

310

The external quality assessment scheme: Five years experience as a participating laboratory  

PubMed Central

Background and Aim: Quality assurance in blood banking includes active participation in the external quality program. Such a program offers valuable benefits to patient care, their safety, and an overall quality of laboratory practices. In the year 2002, we participated in the External Quality Assessment Scheme (EQAS) under the World Health Organization (WHO), Bureau of Laboratory Quality Standards, Thailand. Materials and Methods: In the current study we evaluated our EQAS test result of the past five years, from 2003 to 2007. Test results of all blood samples such as ABO grouping, D typing, antibody screening, antibody identification, and transfusion transmitted infection (TTI) testing were analyzed and documented. Results: Discordant results in one or more instances were observed with antibody identification, weak D testing, and tests for anti-HIV1/2 and HBsAg. Twice we failed to detect the ‘anti-Mia’ antibody in the issued sample and that could be attributed to the absence of the corresponding antigen in the used cell panel. HBsAg was missed due to its critically low titer in the serum and the comparatively low sensitivity of our Enzyme-Linked Immunosorbent Assay (ELISA) test kit. Conclusion: All these failures in the last five years have helped us to significantly improve our transfusion service in terms of performance evaluation, patient care and safety issues, and the overall quality of laboratory practices. We therefore recommend all laboratories and hospitals to participate in the EQAS program, which will definitely help them to improve from what they learn. PMID:20376263

Chaudhary, Rajendra; Das, Sudipta S.; Ojha, Shashank; Khetan, Dheeraj; Sonker, Atul

2010-01-01

311

Reactive control and reasoning assistance for scientific laboratory instruments  

NASA Technical Reports Server (NTRS)

Scientific laboratory instruments that are involved in chemical or physical sample identification frequently require substantial human preparation, attention, and interactive control during their operation. Successful real-time analysis of incoming data that supports such interactive control requires: (1) a clear recognition of variance of the data from expected results; and (2) rapid diagnosis of possible alternative hypotheses which might explain the variance. Such analysis then aids in decisions about modifying the experiment protocol, as well as being a goal itself. This paper reports on a collaborative project at the NASA Ames Research Center between artificial intelligence researchers and planetary microbial ecologists. Our team is currently engaged in developing software that autonomously controls science laboratory instruments and that provides data analysis of the real-time data in support of dynamic refinement of the experiment control. the first two instruments to which this technology has been applied are a differential thermal analyzer (DTA) and a gas chromatograph (GC). coupled together, they form a new geochemicstry and microbial analysis tool that is capable of rapid identification of the organiz and mineralogical constituents in soils. The thermal decomposition of the minerals and organics, and the attendance release of evolved gases, provides data about the structural and molecular chemistry of the soil samples.

Thompson, David E.; Levinson, Richard; Robinson, Peter

1993-01-01

312

Federal, State, and Local Water Quality Control  

E-print Network

and non-point pollution is causing many water bodies to fail state water quality standards. Since in many cases these polluted water bodies are vital to communi- ties as both a source of drinking water-5-23.1. These two laws are intended to protect water bodies from excessive point and non-point pollution

Rosemond, Amy Daum

313

Control charts for high-quality processes: MAX or CUMAX ?  

E-print Network

and birth defects, should be avoided as much as possible. In both fields, application of control chartsControl charts for high-quality processes: MAX or CUMAX ? Willem Albers Department of Applied with (very) small failure rates control charts were introduced which are based on subsequent groups of r

Al Hanbali, Ahmad

314

Radiological Control Manual Environment, Safety, Health, and Quality Division  

E-print Network

Radiological Control Manual Environment, Safety, Health, and Quality Division SLAC-I-720-0A05Z-001 and published by ESHQ Publishing Document Title: Radiological Control Manual Original Publication Date: 1;Radiological Control Manual Table of Contents TABLE OF CONTENTS Publication Data

Wechsler, Risa H.

315

X-ray waveform monitoring for radiographic quality control.  

PubMed

Noninvasive monitoring of x-ray output waveforms during acceptance testing, quality of control, and troubleshooting is beneficial in an ongoing radiographic quality assurance program. The intent of waveform monitoring is to watch for abnormalities that provide additional information about the condition of the x-ray system. Because waveform monitoring is performed generally in conjunction with other quality control procedures, few, if any, additional exposures are needed and length of the testing time is affected minimally. In six years of experience with acceptance testing, quality control, and troubleshooting on more than 160 radiographic and fluoroscopic units, noninvasive waveform monitoring has detected numerous abnormalities that would have affected image quality, generator calibration, and equipment life. PMID:4059531

Stears, J G; Gray, J E; Webbles, W E; Frank, E D

1985-01-01

316

Requirements for quality control of analytical data for the Environmental Restoration Program  

SciTech Connect

The Environmental Restoration (ER) Program was established for the investigation and remediation of inactive US Department of Energy (DOE) sites and facilities that have been declared surplus in terms of their previous uses. The purpose of this document is to Specify ER requirements for quality control (QC) of analytical data. Activities throughout all phases of the investigation may affect the quality of the final data product, thus are subject to control specifications. Laboratory control is emphasized in this document, and field concerns will be addressed in a companion document Energy Systems, in its role of technical coordinator and at the request of DOE-OR, extends the application of these requirements to all participants in ER activities. Because every instance and concern may not be addressed in this document, participants are encouraged to discuss any questions with the ER Quality Assurance (QA) Office, the Analytical Environmental Support Group (AESG), or the Analytical Project Office (APO).

Engels, J.

1992-12-01

317

Supplemental Control for Aircraft Riding Qualities  

NASA Technical Reports Server (NTRS)

The concept of preview control has been applied and proven to be successful in the automotive vehicle. These same concepts are now applied to an aircraft under the assumption that exogenous inputs (wind gust, turbulence, etc. ) can be measured. A supplemental control law for surface deflection is designed to compensate for the loss in performance in the presence of atmospheric disturbances. Fuzzy logic control is employed to handle the nonlinear, time varying characteristics of the disturbance. A methodology to tune the outer loop control parameters is presented.

Williams, Rolanda S.; Ashokkumar, C. R.; Homaifar, Abdollah

1997-01-01

318

7 CFR 58.523 - Laboratory and quality control tests.  

Code of Federal Regulations, 2013 CFR

...Frequency of sampling —(1) Microbiological. Samples of raw milk for testing shall be taken as prescribed in § 58.135. Representative...dry cottage cheese shall be tested for moisture only. (ii) pH. Representative samples shall be taken of finished...

2013-01-01

319

7 CFR 58.523 - Laboratory and quality control tests.  

Code of Federal Regulations, 2014 CFR

...Frequency of sampling —(1) Microbiological. Samples of raw milk for testing shall be taken as prescribed in § 58.135. Representative...dry cottage cheese shall be tested for moisture only. (ii) pH. Representative samples shall be taken of finished...

2014-01-01

320

7 CFR 58.523 - Laboratory and quality control tests.  

Code of Federal Regulations, 2011 CFR

...Frequency of sampling —(1) Microbiological. Samples of raw milk for testing shall be taken as prescribed in § 58.135. Representative...dry cottage cheese shall be tested for moisture only. (ii) pH. Representative samples shall be taken of finished...

2011-01-01

321

7 CFR 58.523 - Laboratory and quality control tests.  

Code of Federal Regulations, 2012 CFR

...Frequency of sampling —(1) Microbiological. Samples of raw milk for testing shall be taken as prescribed in § 58.135. Representative...dry cottage cheese shall be tested for moisture only. (ii) pH. Representative samples shall be taken of finished...

2012-01-01

322

7 CFR 58.523 - Laboratory and quality control tests.  

Code of Federal Regulations, 2010 CFR

...representative samples shall be taken of finished cottage cheese; (2) Chemical —(i) Milkfat and Moisture. Representative samples shall be taken of cottage cheese; dry cottage cheese shall be tested for moisture only. (ii)...

2010-01-01

323

Quality improvement and control based on defect reduction  

E-print Network

This thesis addresses the quality improvement in a printing process at a food packaging company now experiencing hundreds of printing defects. Methodologies of Define, Measure, Analyze, Improve, and Control (DMAIC), and ...

Dai, Qi, M. Eng. Massachusetts Institute of Technology

2010-01-01

324

42 CFR 84.41 - Quality control plans; contents.  

Code of Federal Regulations, 2014 CFR

...AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control...the respirator does not provide any respiratory protection, or a defect that reduces...that is likely to result in reduced respiratory protection, and is detectable by...

2014-10-01

325

21 CFR 864.8625 - Hematology quality control mixture.  

Code of Federal Regulations, 2010 CFR

... FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL DEVICES HEMATOLOGY AND PATHOLOGY DEVICES Hematology Reagents § 864.8625 Hematology quality control mixture. (a) Identification. A...

2010-04-01

326

21 CFR 864.8625 - Hematology quality control mixture.  

Code of Federal Regulations, 2011 CFR

... FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL DEVICES HEMATOLOGY AND PATHOLOGY DEVICES Hematology Reagents § 864.8625 Hematology quality control mixture. (a) Identification. A...

2011-04-01

327

21 CFR 864.8625 - Hematology quality control mixture.  

Code of Federal Regulations, 2014 CFR

... FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL DEVICES HEMATOLOGY AND PATHOLOGY DEVICES Hematology Reagents § 864.8625 Hematology quality control mixture. (a) Identification. A...

2014-04-01

328

21 CFR 864.8625 - Hematology quality control mixture.  

Code of Federal Regulations, 2012 CFR

... FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL DEVICES HEMATOLOGY AND PATHOLOGY DEVICES Hematology Reagents § 864.8625 Hematology quality control mixture. (a) Identification. A...

2012-04-01

329

21 CFR 864.8625 - Hematology quality control mixture.  

Code of Federal Regulations, 2013 CFR

... FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL DEVICES HEMATOLOGY AND PATHOLOGY DEVICES Hematology Reagents § 864.8625 Hematology quality control mixture. (a) Identification. A...

2013-04-01

330

QC (QUALITY CONTROL) FOR STATIONARY SOURCE PARTICLE SIZE MEASUREMENTS  

EPA Science Inventory

The paper discusses quality control (QC) for stationary source particle size measurements. Traditional QC methodology has generally involved retrospective evaluation of existing products (e.g., environmental data). Rather than identify failures, it is now increasingly possible an...

331

Low-Speed Active Flow Control Laboratory Developed  

NASA Technical Reports Server (NTRS)

The future of aviation propulsion systems is increasingly focused on the application of control technologies to significantly enhance the performance of a new generation of air vehicles. Active flow control refers to a set of technologies that manipulate the flow of air and combustion gases deep within the confines of an engine to dynamically alter its performance during flight. By employing active flow control, designers can create engines that are significantly lighter, are more fuel efficient, and produce lower emissions. In addition, the operating range of an engine can be extended, yielding safer transportation systems. The realization of these future propulsion systems requires the collaborative development of many base technologies to achieve intelligent, embedded control at the engine locations where it will be most effective. NASA Glenn Research Center s Controls and Dynamics Technology Branch has developed a state-of-the-art low-speed Active Flow Control Laboratory in which emerging technologies can be integrated and explored in a flexible, low-cost environment. The facility allows the most promising developments to be prescreened and optimized before being tested on higher fidelity platforms, thereby reducing the cost of experimentation and improving research effectiveness.

Culley, Dennis E.; Bright, Michelle M.

2005-01-01

332

Quality Assurance and Quality Control Practices for Rehabilitation of Sewer and Water Mains  

EPA Science Inventory

As part of the US Environmental Protection Agency (EPA)?s Aging Water Infrastructure Research Program, several areas of research are being pursued, including a review of quality assurance and quality control (QA/QC) practices and acceptance testing during the installation of reha...

333

HANDBOOK: QUALITY ASSURANCE/QUALITY CONTROL (QA/QC) PROCEDURES FOR HAZARDOUS WASTE INCINERATION  

EPA Science Inventory

Resource Conservation and Recovery Act regulations for hazardous waste incineration require trial burns by permit applicants. uality Assurance Project Plan (QAPjP) must accompany a trial burn plan with appropriate quality assurance/quality control procedures. uidance on the prepa...

334

COMMUNITY MULTISCALE AIR QUALITY ( CMAQ ) MODEL - QUALITY ASSURANCE AND VERSION CONTROL  

EPA Science Inventory

This presentation will be given to the EPA Exposure Modeling Workgroup on January 24, 2006. The quality assurance and version control procedures for the Community Multiscale Air Quality (CMAQ) Model are presented. A brief background of CMAQ is given, then issues related to qual...

335

Quality Assurance and Quality Control Practices For Rehabilitation of Sewer and Water Mains  

EPA Science Inventory

As part of the US Environmental Protection Agency (EPA)?s Aging Water Infrastructure Research Program, several areas of research are being pursued including a review of quality assurance and quality control (QA/QC) practices and acceptance testing during the installation of rehab...

336

Development and Testing of a Nuclear Quality Assurance/Quality Control Technician Curriculum. Final Report.  

ERIC Educational Resources Information Center

A project was conducted to field test selected first- and second-year courses in a postsecondary nuclear quality assurance/quality control (QA/QC) technician curriculum and to develop the teaching/learning modules for seven technical specialty courses remaining in the QA/QC technician curriculum. The field testing phase of the project involved the…

Espy, John; And Others

337

Multi-Agent Architecture with Support to Quality of Service and Quality of Control  

NASA Astrophysics Data System (ADS)

Multi Agent Systems (MAS) are one of the most suitable frameworks for the implementation of intelligent distributed control system. Agents provide suitable flexibility to give support to implied heterogeneity in cyber-physical systems. Quality of Service (QoS) and Quality of Control (QoC) parameters are commonly utilized to evaluate the efficiency of the communications and the control loop. Agents can use the quality measures to take a wide range of decisions, like suitable placement on the control node or to change the workload to save energy. This article describes the architecture of a multi agent system that provides support to QoS and QoC parameters to optimize de system. The architecture uses a Publish-Subscriber model, based on Data Distribution Service (DDS) to send the control messages. Due to the nature of the Publish-Subscribe model, the architecture is suitable to implement event-based control (EBC) systems. The architecture has been called FSACtrl.

Poza-Luján, Jose-Luis; Posadas-Yagüe, Juan-Luis; Simó-Ten, Jose-Enrique

338

Software quality assurance and software safety in the Biomed Control System  

SciTech Connect

The Biomed Control System is a hardware/software system used for the delivery, measurement and monitoring of heavy-ion beams in the patient treatment and biology experiment rooms in the Bevalac at the Lawrence Berkeley Laboratory (LBL). This paper describes some aspects of this system including historical background philosophy, configuration management, hardware features that facilitate software testing, software testing procedures, the release of new software quality assurance, safety and operator monitoring. 3 refs.

Singh, R.P.; Chu, W.T.; Ludewigt, B.A.; Marks, K.M.; Nyman, M.A.; Renner, T.R.; Stradtner, R.

1989-10-31

339

Experience with ISO quality control in assisted reproductive technology.  

PubMed

Assisted reproductive technology (ART) programs are complex organizations requiring the integration of multiple disciplines. ISO 9001:2008 is a quality management system that is readily adaptable to an ART program. The value that ISO brings to the entire organization includes control of documents, clear delineation of responsibilities of staff members, documentation of the numerous processes and procedures, improvement in tracking and reducing errors, and overall better control of systems. A quality ART program sets quality objectives and monitors their progress. ISO provides a sense of transparency within the organization and clearer understanding of how service is provided to patients. Most importantly, ISO provides the framework to allow for continual improvement. PMID:24112531

Alper, Michael M

2013-12-01

340

Quality control throughout the production process of infant food.  

PubMed

The manufacture of infant food is a highly complex process and needs an effective quality control beyond classical in-process parameters and a final microbiological analysis. To ensure a safe end -product, various tools, such as the Hazard Analysis Critical Control Points (HACCP), have been developed to facilitate the management of food safety. Every single infant formula ingredient must have an excellent quality and safety approach because even if an ingredient is used in very small quantities in a single product, serious consequences may arise if the quality and product safety are not taken seriously by the ingredient manufacturer. The purpose of this article was twofold: firstly, to briefly describe existing Quality Management Systems and, secondly, to highlight the consequences of non-quality. PMID:22699770

Hamrin, Pia; Hoeft, Birgit

2012-01-01

341

Flying qualities - A costly lapse in flight-control design  

NASA Technical Reports Server (NTRS)

Generic problems in advanced aircraft with advanced control systems which suffer from control sensitivity, sluggish response, and pilot-induced oscillation tendencies are examined, with a view to improving techniques for eliminating the problems in the design phase. Results of two NASA and NASA/AIAA workshops reached a consensus that flying qualities criteria do not match control system development, control system designers are not relying on past experience in their field, ground-based simulation is relied on too heavily, and communications between flying qualities and control systems engineers need improvement. A summation is offered in that hardware and software have outstripped the pilot's capacity to use the capabilities which new aircraft offer. The flying qualities data base is stressed to be dynamic, and continually redefining the man/machine relationships.

Berry, D. T.

1982-01-01

342

Quality-Assurance Data for Routine Water Analyses by the U.S. Geological Survey Laboratory in Troy, New York - July 2005 through June 2007  

USGS Publications Warehouse

The laboratory for analysis of low-ionic-strength water at the U.S. Geological Survey (USGS) Water Science Center in Troy, N.Y., analyzes samples collected by USGS projects throughout the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures that were developed to ensure proper sample collection, processing, and analysis. The quality-assurance and quality-control data were stored in the laboratory's Lab Master data-management system, which provides efficient review, compilation, and plotting of data. This report presents and discusses results of quality-assurance and quality control samples analyzed from July 2005 through June 2007. Results for the quality-control samples for 19 analytical procedures were evaluated for bias and precision. Control charts indicate that data for eight of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: total aluminum, calcium, magnesium, nitrate (colorimetric method), potassium, silicon, sodium, and sulfate. Eight of the analytical procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits; these procedures were: total aluminum, calcium, dissolved organic carbon, chloride, nitrate (ion chromatograph), potassium, silicon, and sulfate. The magnesium and pH procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The acid-neutralizing capacity, total monomeric aluminum, nitrite, and specific conductance procedures were biased for the high-concentration and low-concentration samples, but were within control limits. Results from the filter-blank and analytical-blank analyses indicated that the procedures for 16 of 17 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. The data-quality objective was not met for dissolved organic carbon. Sampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 18 of the 21 analytes. At least 93 percent of the samples met data-quality objectives for all analytes except acid-neutralizing capacity (85 percent of samples met objectives), total monomeric aluminum (83 percent of samples met objectives), total aluminum (85 percent of samples met objectives), and chloride (85 percent of samples met objectives). The ammonium and total dissolved nitrogen did not meet the data-quality objectives. Results of the USGS interlaboratory Standard Reference Sample (SRS) Project met the Troy Laboratory data-quality objectives for 87 percent of the samples analyzed. The P-sample (low-ionic-strength constituents) analysis had two outliers each in two studies. The T-sample (trace constituents) analysis and the N-sample (nutrient constituents) analysis had one outlier each in two studies. Results of Environment Canada's National Water Research Institute (NWRI) program indicated that at least 85 percent of the samples met data-quality objectives for 11 of the 14 analytes; the exceptions were acid-neutralizing capacity, total aluminum and ammonium. Data-quality objectives were not met in 41 percent of samples analyzed for acid-neutralizing capacity, 50 percent of samples analyzed for total aluminum, and 44 percent of samples analyzed for ammonium. Results from blind reference-sample analyses indicated that data-quality objectives were met by at least 86 percent of the samples analyzed for calcium, magnesium, pH, potassium, and sodium. Data-quality objectives were met by 76 percent of the samples analyzed for chloride, 80 percent of the samples analyzed for specific conductance, and 77 percent of the samples analyzed for sulfate.

Lincoln, Tricia A.; Horan-Ross, Debra A.; McHale, Michael R.; Lawrence, Gregory B.

2009-01-01

343

40 CFR 81.155 - Central Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Central Maryland Intrastate Air Quality Control Region...Control Regions § 81.155 Central Maryland Intrastate Air Quality Control Region. The Central Maryland Intrastate Air Quality...

2010-07-01

344

40 CFR 81.156 - Southern Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Southern Maryland Intrastate Air Quality Control Region...Control Regions § 81.156 Southern Maryland Intrastate Air Quality Control Region. The Southern Maryland Intrastate Air Quality...

2010-07-01

345

40 CFR 81.156 - Southern Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Southern Maryland Intrastate Air Quality Control Region...Control Regions § 81.156 Southern Maryland Intrastate Air Quality Control Region. The Southern Maryland Intrastate Air Quality...

2011-07-01

346

40 CFR 81.155 - Central Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Central Maryland Intrastate Air Quality Control Region...Control Regions § 81.155 Central Maryland Intrastate Air Quality Control Region. The Central Maryland Intrastate Air Quality...

2012-07-01

347

40 CFR 81.156 - Southern Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Southern Maryland Intrastate Air Quality Control Region...Control Regions § 81.156 Southern Maryland Intrastate Air Quality Control Region. The Southern Maryland Intrastate Air Quality...

2014-07-01

348

40 CFR 81.155 - Central Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Central Maryland Intrastate Air Quality Control Region...Control Regions § 81.155 Central Maryland Intrastate Air Quality Control Region. The Central Maryland Intrastate Air Quality...

2011-07-01

349

40 CFR 81.155 - Central Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Central Maryland Intrastate Air Quality Control Region...Control Regions § 81.155 Central Maryland Intrastate Air Quality Control Region. The Central Maryland Intrastate Air Quality...

2014-07-01

350

40 CFR 81.156 - Southern Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Southern Maryland Intrastate Air Quality Control Region...Control Regions § 81.156 Southern Maryland Intrastate Air Quality Control Region. The Southern Maryland Intrastate Air Quality...

2012-07-01

351

40 CFR 81.156 - Southern Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Southern Maryland Intrastate Air Quality Control Region...Control Regions § 81.156 Southern Maryland Intrastate Air Quality Control Region. The Southern Maryland Intrastate Air Quality...

2013-07-01

352

40 CFR 81.155 - Central Maryland Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Central Maryland Intrastate Air Quality Control Region...Control Regions § 81.155 Central Maryland Intrastate Air Quality Control Region. The Central Maryland Intrastate Air Quality...

2013-07-01

353

30 CFR 28.32 - Proposed quality control plans; approval by MSHA.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Proposed quality control plans; approval by MSHA. 28.32...PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.32 Proposed quality control plans; approval by MSHA. (a)...

2010-07-01

354

42 CFR 84.43 - Quality control records; review by the Institute; revocation of approval.  

Code of Federal Regulations, 2011 CFR

... 1 2011-10-01 2011-10-01 false Quality control records; review by the Institute; revocation... APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.43 Quality control records; review by the Institute;...

2011-10-01

355

42 CFR 84.43 - Quality control records; review by the Institute; revocation of approval.  

Code of Federal Regulations, 2010 CFR

... 1 2010-10-01 2010-10-01 false Quality control records; review by the Institute; revocation... APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.43 Quality control records; review by the Institute;...

2010-10-01

356

30 CFR 28.32 - Proposed quality control plans; approval by MSHA.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Proposed quality control plans; approval by MSHA. 28.32...PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.32 Proposed quality control plans; approval by MSHA. (a)...

2011-07-01

357

42 CFR 84.42 - Proposed quality control plans; approval by the Institute.  

Code of Federal Regulations, 2011 CFR

...2011-10-01 2011-10-01 false Proposed quality control plans; approval by the Institute...APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.42 Proposed quality control plans; approval by the...

2011-10-01

358

42 CFR 84.42 - Proposed quality control plans; approval by the Institute.  

Code of Federal Regulations, 2010 CFR

...2010-10-01 2010-10-01 false Proposed quality control plans; approval by the Institute...APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.42 Proposed quality control plans; approval by the...

2010-10-01

359

40 CFR 81.195 - Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Central Michigan Intrastate Air Quality Control Region...Control Regions § 81.195 Central Michigan Intrastate Air Quality Control Region. The Central Michigan Intrastate Air Quality...

2011-07-01

360

40 CFR 81.195 - Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Central Michigan Intrastate Air Quality Control Region...Control Regions § 81.195 Central Michigan Intrastate Air Quality Control Region. The Central Michigan Intrastate Air Quality...

2013-07-01

361

40 CFR 81.197 - Upper Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Upper Michigan Intrastate Air Quality Control Region...Control Regions § 81.197 Upper Michigan Intrastate Air Quality Control Region. The Upper Michigan Intrastate Air Quality...

2014-07-01

362

40 CFR 81.195 - Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Central Michigan Intrastate Air Quality Control Region...Control Regions § 81.195 Central Michigan Intrastate Air Quality Control Region. The Central Michigan Intrastate Air Quality...

2010-07-01

363

40 CFR 81.197 - Upper Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Upper Michigan Intrastate Air Quality Control Region...Control Regions § 81.197 Upper Michigan Intrastate Air Quality Control Region. The Upper Michigan Intrastate Air Quality...

2012-07-01

364

40 CFR 81.195 - Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Central Michigan Intrastate Air Quality Control Region...Control Regions § 81.195 Central Michigan Intrastate Air Quality Control Region. The Central Michigan Intrastate Air Quality...

2012-07-01

365

40 CFR 81.197 - Upper Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Upper Michigan Intrastate Air Quality Control Region...Control Regions § 81.197 Upper Michigan Intrastate Air Quality Control Region. The Upper Michigan Intrastate Air Quality...

2011-07-01

366

40 CFR 81.197 - Upper Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Upper Michigan Intrastate Air Quality Control Region...Control Regions § 81.197 Upper Michigan Intrastate Air Quality Control Region. The Upper Michigan Intrastate Air Quality...

2013-07-01

367

40 CFR 81.195 - Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Central Michigan Intrastate Air Quality Control Region...Control Regions § 81.195 Central Michigan Intrastate Air Quality Control Region. The Central Michigan Intrastate Air Quality...

2014-07-01

368

34 CFR 200.89 - MEP allocations; Re-interviewing; Eligibility documentation; and Quality control.  

Code of Federal Regulations, 2013 CFR

...system of quality controls identified in...migratory child population, effectiveness of local quality control procedures) in...children in the total population), and any corrective...system of quality controls for the proper...

2013-07-01

369

40 CFR 81.132 - Abilene-Wichita Falls Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Abilene-Wichita Falls Intrastate Air Quality Control Region...Regions § 81.132 Abilene-Wichita Falls Intrastate Air Quality Control Region. The Abilene-Wichita Falls Intrastate Air Quality Control...

2010-07-01

370

40 CFR 81.132 - Abilene-Wichita Falls Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Abilene-Wichita Falls Intrastate Air Quality Control Region...Regions § 81.132 Abilene-Wichita Falls Intrastate Air Quality Control Region. The Abilene-Wichita Falls Intrastate Air Quality Control...

2011-07-01

371

40 CFR 81.148 - Eastern Piedmont Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Eastern Piedmont Intrastate Air Quality Control Region...Control Regions § 81.148 Eastern Piedmont Intrastate Air Quality Control Region. The Eastern Piedmont Intrastate Air Quality...

2010-07-01

372

40 CFR 81.150 - Northern Piedmont Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Northern Piedmont Intrastate Air Quality Control Region...Control Regions § 81.150 Northern Piedmont Intrastate Air Quality Control Region. The Northern Piedmont Intrastate Air Quality...

2010-07-01

373

22 CFR 96.39 - Information disclosure and quality control practices.  

Code of Federal Regulations, 2011 CFR

... Information disclosure and quality control practices. 96...ADOPTION ACT OF 2000 (IAA) Standards for Convention Accreditation...Disclosure, Fee Practices, and Quality Control Policies and Practices... Information disclosure and quality control practices....

2011-04-01

374

22 CFR 96.39 - Information disclosure and quality control practices.  

Code of Federal Regulations, 2010 CFR

... Information disclosure and quality control practices. 96...ADOPTION ACT OF 2000 (IAA) Standards for Convention Accreditation...Disclosure, Fee Practices, and Quality Control Policies and Practices... Information disclosure and quality control practices....

2010-04-01

375

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Mountain Counties Intrastate Air Quality Control...Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air...

2010-07-01

376

40 CFR 81.147 - Eastern Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Eastern Mountain Intrastate Air Quality Control Region...Control Regions § 81.147 Eastern Mountain Intrastate Air Quality Control Region. The Eastern Mountain Intrastate Air Quality...

2011-07-01

377

40 CFR 81.153 - Western Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Western Mountain Intrastate Air Quality Control Region...Control Regions § 81.153 Western Mountain Intrastate Air Quality Control Region. The Western Mountain Intrastate Air Quality...

2013-07-01

378

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Mountain Counties Intrastate Air Quality Control...Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air...

2014-07-01

379

40 CFR 81.153 - Western Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Western Mountain Intrastate Air Quality Control Region...Control Regions § 81.153 Western Mountain Intrastate Air Quality Control Region. The Western Mountain Intrastate Air Quality...

2014-07-01

380

40 CFR 81.147 - Eastern Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Eastern Mountain Intrastate Air Quality Control Region...Control Regions § 81.147 Eastern Mountain Intrastate Air Quality Control Region. The Eastern Mountain Intrastate Air Quality...

2012-07-01

381

40 CFR 81.147 - Eastern Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Eastern Mountain Intrastate Air Quality Control Region...Control Regions § 81.147 Eastern Mountain Intrastate Air Quality Control Region. The Eastern Mountain Intrastate Air Quality...

2013-07-01

382

40 CFR 81.147 - Eastern Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Eastern Mountain Intrastate Air Quality Control Region...Control Regions § 81.147 Eastern Mountain Intrastate Air Quality Control Region. The Eastern Mountain Intrastate Air Quality...

2010-07-01

383

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Mountain Counties Intrastate Air Quality Control...Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air...

2011-07-01

384

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Mountain Counties Intrastate Air Quality Control...Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air...

2012-07-01

385

40 CFR 81.274 - Mountain Counties Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Mountain Counties Intrastate Air Quality Control...Quality Control Regions § 81.274 Mountain Counties Intrastate Air Quality Control Region. The Mountain Counties Intrastate Air...

2013-07-01

386

40 CFR 81.153 - Western Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Western Mountain Intrastate Air Quality Control Region...Control Regions § 81.153 Western Mountain Intrastate Air Quality Control Region. The Western Mountain Intrastate Air Quality...

2012-07-01

387

40 CFR 81.153 - Western Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Western Mountain Intrastate Air Quality Control Region...Control Regions § 81.153 Western Mountain Intrastate Air Quality Control Region. The Western Mountain Intrastate Air Quality...

2011-07-01

388

40 CFR 81.147 - Eastern Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Eastern Mountain Intrastate Air Quality Control Region...Control Regions § 81.147 Eastern Mountain Intrastate Air Quality Control Region. The Eastern Mountain Intrastate Air Quality...

2014-07-01

389

40 CFR 81.153 - Western Mountain Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Western Mountain Intrastate Air Quality Control Region...Control Regions § 81.153 Western Mountain Intrastate Air Quality Control Region. The Western Mountain Intrastate Air Quality...

2010-07-01

390

40 CFR 81.104 - Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

... 2011-07-01 false Central Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.104 Central Pennsylvania Intrastate Air Quality Control Region. The Central Pennsylvania Intrastate Air Quality...

2011-07-01

391

40 CFR 81.104 - Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

... 2012-07-01 false Central Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.104 Central Pennsylvania Intrastate Air Quality Control Region. The Central Pennsylvania Intrastate Air Quality...

2012-07-01

392

40 CFR 81.104 - Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

... 2014-07-01 false Central Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.104 Central Pennsylvania Intrastate Air Quality Control Region. The Central Pennsylvania Intrastate Air Quality...

2014-07-01

393

40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false Southwest Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality...

2013-07-01

394

40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false Southwest Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality...

2012-07-01

395

40 CFR 81.104 - Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

... 2013-07-01 false Central Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.104 Central Pennsylvania Intrastate Air Quality Control Region. The Central Pennsylvania Intrastate Air Quality...

2013-07-01

396

40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false Southwest Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality...

2014-07-01

397

40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Southwest Pennsylvania Intrastate Air Quality Control Region...Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality...

2011-07-01

398

40 CFR 81.120 - Middle Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Middle Tennessee Intrastate Air Quality Control Region...Control Regions § 81.120 Middle Tennessee Intrastate Air Quality Control Region. The Middle Tennessee Intrastate Air Quality...

2013-07-01

399

40 CFR 81.120 - Middle Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Middle Tennessee Intrastate Air Quality Control Region...Control Regions § 81.120 Middle Tennessee Intrastate Air Quality Control Region. The Middle Tennessee Intrastate Air Quality...

2011-07-01

400

40 CFR 81.120 - Middle Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Middle Tennessee Intrastate Air Quality Control Region...Control Regions § 81.120 Middle Tennessee Intrastate Air Quality Control Region. The Middle Tennessee Intrastate Air Quality...

2010-07-01

401

40 CFR 81.119 - Western Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 2010-07-01 false Western Tennessee Intrastate Air Quality Control Region...Control Regions § 81.119 Western Tennessee Intrastate Air Quality Control Region. The Western Tennessee Intrastate Air Quality...

2010-07-01

402

40 CFR 81.119 - Western Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Western Tennessee Intrastate Air Quality Control Region...Control Regions § 81.119 Western Tennessee Intrastate Air Quality Control Region. The Western Tennessee Intrastate Air Quality...

2014-07-01

403

40 CFR 81.120 - Middle Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Middle Tennessee Intrastate Air Quality Control Region...Control Regions § 81.120 Middle Tennessee Intrastate Air Quality Control Region. The Middle Tennessee Intrastate Air Quality...

2012-07-01

404

40 CFR 81.120 - Middle Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 2014-07-01 false Middle Tennessee Intrastate Air Quality Control Region...Control Regions § 81.120 Middle Tennessee Intrastate Air Quality Control Region. The Middle Tennessee Intrastate Air Quality...

2014-07-01

405

40 CFR 81.119 - Western Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 2013-07-01 false Western Tennessee Intrastate Air Quality Control Region...Control Regions § 81.119 Western Tennessee Intrastate Air Quality Control Region. The Western Tennessee Intrastate Air Quality...

2013-07-01

406

40 CFR 81.119 - Western Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 2012-07-01 false Western Tennessee Intrastate Air Quality Control Region...Control Regions § 81.119 Western Tennessee Intrastate Air Quality Control Region. The Western Tennessee Intrastate Air Quality...

2012-07-01

407

40 CFR 81.119 - Western Tennessee Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 2011-07-01 false Western Tennessee Intrastate Air Quality Control Region...Control Regions § 81.119 Western Tennessee Intrastate Air Quality Control Region. The Western Tennessee Intrastate Air Quality...

2011-07-01

408

22 CFR 96.39 - Information disclosure and quality control practices.  

Code of Federal Regulations, 2012 CFR

... Information disclosure and quality control practices. 96...Disclosure, Fee Practices, and Quality Control Policies and Practices... Information disclosure and quality control practices. ...country of origin and the usual costs associated with their...

2012-04-01

409

22 CFR 96.39 - Information disclosure and quality control practices.  

Code of Federal Regulations, 2014 CFR

... Information disclosure and quality control practices. 96...Disclosure, Fee Practices, and Quality Control Policies and Practices... Information disclosure and quality control practices. ...country of origin and the usual costs associated with their...

2014-04-01

410

22 CFR 96.39 - Information disclosure and quality control practices.  

Code of Federal Regulations, 2013 CFR

... Information disclosure and quality control practices. 96...Disclosure, Fee Practices, and Quality Control Policies and Practices... Information disclosure and quality control practices. ...country of origin and the usual costs associated with their...

2013-04-01

411

40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false Northeastern Oklahoma Intrastate Air Quality Control Region...Control Regions § 81.79 Northeastern Oklahoma Intrastate Air Quality Control Region...Region has been renamed the Northeastern Oklahoma Intrastate Air Quality...

2013-07-01

412

40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false Northeastern Oklahoma Intrastate Air Quality Control Region...Control Regions § 81.79 Northeastern Oklahoma Intrastate Air Quality Control Region...Region has been renamed the Northeastern Oklahoma Intrastate Air Quality...

2014-07-01

413

40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false Northeastern Oklahoma Intrastate Air Quality Control Region...Control Regions § 81.79 Northeastern Oklahoma Intrastate Air Quality Control Region...Region has been renamed the Northeastern Oklahoma Intrastate Air Quality...

2012-07-01

414

Report on the audit of the Savannah River Site`s quality control program for groundwater sampling  

SciTech Connect

The Savannah River Site`s groundwater remediation program was managed by the Department of Energy`s (Department) management and operating contractor for the site, Westinghouse Savannah River Company (Westinghouse). One component of the remediation program was the quality control program. The goal of the groundwater quality control program was to ensure that the results of laboratory analyses of groundwater samples were accurate and precise so that they could be relied upon for making remediation decisions. The objective of this audit was to determine whether Westinghouse acquired the minimal number of laboratory analyses required to ensure that groundwater sampling results met this criteria.

NONE

1997-05-20

415

LABORATORY AND FIELD AUDITS AS PART OF THE EPA (ENVIRONMENTAL PROTECTION AGENCY) HAZARDOUS WASTE ENGINEERING RESEARCH LABORATORY (HWERL) QUALITY ASSURANCE PROGRAM  

EPA Science Inventory

Audits are an important and integral part of the EPA Hazardous Waste Engineering Research Laboratory (HWERL) Quality Assurance (QA) Program. As part of the overall QA program, audits are used to determine contractor compliance with quality assurance plans and to assess the overal...

416

The 5th Annual NASA Spacecraft Control Laboratory Experiment (SCOLE) Workshop, part 2  

NASA Technical Reports Server (NTRS)

A collection of papers from the workshop are presented. The topics addressed include: the modeling, systems identification, and control synthesis for the Spacecraft Control Laboratory Experiment (SCOLE) configuration.

Taylor, Lawrence W., Jr. (compiler)

1990-01-01

417

A Closer Look at Quality Control  

NASA Technical Reports Server (NTRS)

Spectrometers, which are durable, lightweight, and compact instruments, are a requirement for NASA deep space science missions, especially as NASA strives to conduct these missions with smaller spacecraft. NASA s Jet Propulsion Laboratory (JPL) awarded the Brimrose Corporation of America a Small Business Innovation Research (SBIR) contract to develop a compact, rugged, near-infrared spectrometer for possible future missions. Spectrometers are of particular importance on NASA missions because they help scientists to identify the make-up of a planet s surface and analyze the molecules in the atmosphere. Minerals and molecules emit light of various colors. The light, identified as spectra, is difficult to see, and spectrometers, which are essentially special cameras that collect the separate colors of light in an object, allow scientists to identify the different materials. For example, spectrometers can help scientists determine whether soil was created from lava flows or from meteorites.

2003-01-01

418

Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan. Part 1: ASC software quality engineering practices, Version 2.0.  

SciTech Connect

The purpose of the Sandia National Laboratories Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. The plan defines the ASC program software quality practices and provides mappings of these practices to Sandia Corporate Requirements CPR 1.3.2 and 1.3.6 and to a Department of Energy document, ASCI Software Quality Engineering: Goals, Principles, and Guidelines. This document also identifies ASC management and software project teams responsibilities in implementing the software quality practices and in assessing progress towards achieving their software quality goals.

Sturtevant, Judith E.; Heaphy, Robert; Hodges, Ann Louise; Boucheron, Edward A.; Drake, Richard Roy; Minana, Molly A.; Hackney, Patricia; Forsythe, Christi A.; Schofield, Joseph Richard, Jr. (,; .); Pavlakos, Constantine James; Williamson, Charles Michael; Edwards, Harold Carter

2006-09-01

419

Sandia National Laboratories Advanced Simulation and Computing (ASC) software quality plan part 2 mappings for the ASC software quality engineering practices, version 2.0.  

SciTech Connect

The purpose of the Sandia National Laboratories Advanced Simulation and Computing (ASC) Software Quality Plan is to clearly identify the practices that are the basis for continually improving the quality of ASC software products. The plan defines the ASC program software quality practices and provides mappings of these practices to Sandia Corporate Requirements CPR001.3.2 and CPR001.3.6 and to a Department of Energy document, ''ASCI Software Quality Engineering: Goals, Principles, and Guidelines''. This document also identifies ASC management and software project teams' responsibilities in implementing the software quality practices and in assessing progress towards achieving their software quality goals.

Heaphy, Robert; Sturtevant, Judith E.; Hodges, Ann Louise; Boucheron, Edward A.; Drake, Richard Roy; Minana, Molly A.; Hackney, Patricia; Forsythe, Christi A.; Schofield, Joseph Richard, Jr. (,; .); Pavlakos, Constantine James; Williamson, Charles Michael; Edwards, Harold Carter

2006-09-01

420

CRN5EXP: Expert system for statistical quality control  

NASA Technical Reports Server (NTRS)

The purpose of the Expert System CRN5EXP is to assist in checking the quality of the coils at two very important mills: Hot Rolling and Cold Rolling in a steel plant. The system interprets the statistical quality control charts, diagnoses and predicts the quality of the steel. Measurements of process control variables are recorded in a database and sample statistics such as the mean and the range are computed and plotted on a control chart. The chart is analyzed through patterns using the C Language Integrated Production System (CLIPS) and a forward chaining technique to reach a conclusion about the causes of defects and to take management measures for the improvement of the quality control techniques. The Expert System combines the certainty factors associated with the process control variables to predict the quality of the steel. The paper presents the approach to extract data from the database, the reason to combine certainty factors, the architecture and the use of the Expert System. However, the interpretation of control charts patterns requires the human expert's knowledge and lends to Expert Systems rules.

Hentea, Mariana

1991-01-01

421

Quality control for the continuous casting process using electromagnetic  

Microsoft Academic Search

Purpose: The continuous casting process is controlled automatically because various sensors and control units are connected to the mold and lower tundish roll. The solidification point in the process has a major factor on the quality of products, but the point has been predicted depending on the inaccurate calculated results from a computer simulation until now. Therefore, the objective of

I. S. Kim; J. S. Son; H. J. Kim; B. S. Sung

422

CONSIDERATIONS ABOUT MARKET SURVEILLANCE AND QUALITY CONTROL OF FIREWORKS  

E-print Network

CONSIDERATIONS ABOUT MARKET SURVEILLANCE AND QUALITY CONTROL OF FIREWORKS Ruddy BRANKA INERIS of the supply chain of fireworks is that most manufacturers are located in the Far East. Considering control results on tests made by CERL and INERIS on fireworks coming from this area (mainly from China

Boyer, Edmond

423

SPRAYING QUALITY ASSESSMENT OF SPRAYERS DEVOTED TO MOSQUITO CONTROL  

E-print Network

SPRAYING QUALITY ASSESSMENT OF SPRAYERS DEVOTED TO MOSQUITO CONTROL Vincent de Rudnicki1 *, Jean, Montpellier, 34184 France *Corresponding author. E-mail: vincent.derudnicki@irstea.fr Abstract Mosquito techniques to control mosquitoes. Due to the lack of commercial solutions, and in order to meet technical

Boyer, Edmond

424

Genetic markers reveal novel genes which control rice cooking quality  

Technology Transfer Automated Retrieval System (TEKTRAN)

Rice molecular markers have been developed in the gene (Waxy) that controls grain amylose content and the gene (Alk) that controls alkali spreading value. Both of these factors are considered the major determinants of rice cooking quality and texture. This set of markers is now being routinely used...

425

Quantitative quality control in microarray image processing and data acquisition.  

PubMed

A new integrated image analysis package with quantitative quality control schemes is described for cDNA microarray technology. The package employs an iterative algorithm that utilizes both intensity characteristics and spatial information of the spots on a microarray image for signal-background segmentation and defines five quality scores for each spot to record irregularities in spot intensity, size and background noise levels. A composite score q(com) is defined based on these individual scores to give an overall assessment of spot quality. Using q(com) we demonstrate that the inherent variability in intensity ratio measurements is closely correlated with spot quality, namely spots with higher quality give less variable measurements and vice versa. In addition, gauging data by q(com) can improve data reliability dramatically and efficiently. We further show that the variability in ratio measurements drops exponentially with increasing q(com) and, for the majority of spots at the high quality end, this improvement is mainly due to an improvement in correlation between the two dyes. Based on these studies, we discuss the potential of quantitative quality control for microarray data and the possibility of filtering and normalizing microarray data using a quality metrics-dependent scheme. PMID:11470890

Wang, X; Ghosh, S; Guo, S W

2001-08-01

426

[Implementation of quality standard UNE-EN ISO/IEC 17043 in the External Quality Control Program of the Spanish Society of Infectious Diseases and Clinical Microbiology].  

PubMed

The quality standard "UNE-EN-ISO 17043: 2010. Conformity assessment. General requirements for proficiency testing" applies to centers that organize intercomparisons in all areas. In the case of clinical microbiology laboratories, these intercomparisons must meet the management and technical standards required to achieve maximum quality in the performance of microbiological analysis and the preparation of test items (sample, product, data or other information used in the proficiency test) to enable them to be accredited. Once accredited, these laboratories can operate as a tool for quality control laboratories and competency assessment. In Spain, accreditation is granted by the Spanish Accreditation Body [Entidad Nacional de Acreditación (ENAC)]. The objective of this review is to explain how to apply the requirements of the standard to laboratories providing intercomparisons in the field of clinical microbiology (the organization responsible for all the tasks related to the development and operation of a proficiency testing program). This requires defining the scope and specifying the technical requirements (personnel management, control of equipment, facilities and environment, the design of the proficiency testing and data analysis for performance evaluation, communication with participants and confidentiality) and management requirements (document control, purchasing control, monitoring of complaints / claims, non-compliance, internal audits and management reviews). PMID:22305673

Poveda Gabaldón, Marta; Ovies, María Rosario; Orta Mira, Nieves; Serrano, M del Remedio Guna; Avila, Javier; Giménez, Alicia; Cardona, Concepción Gimeno

2011-12-01

427

Evaluating dissection in the gross anatomy course: Correlation between quality of laboratory dissection and students outcomes.  

PubMed

Anatomy learned by active exploration through dissection has many proven benefits including improvement of anatomic knowledge. Decreased laboratory time may affect the quality of dissection and ultimately lower student performance in anatomy translating to lower knowledge acquisition. The aim of this study was to determine whether the quality of students' dissection in teams correlates with their performance in the gross anatomy course. Quality of dissections for each team enrolled in a gross anatomy course at Mayo Medical School was evaluated biweekly using a five-point rubric based on course learning objectives. Assessment of anatomic knowledge was based on sequential laboratory practice practical examination scores, achievements on daily audience response system (ARS) quizzes, and final practical, written, and National Board of Medical Examiners(®) (NBME(®) ) Gross Anatomy and Embryology Subject Examinations. Twelve teams comprising 48 students were included in the study. There was a positive correlation between dissection quality and practice practical examination score (R = 0.83) and a negative correlation between dissection quality and ARS quizzes (R = -0.985). Dissection teams with a passing score on their dissection evaluations (>70%) performed better on their final examinations. Based on an end of course survey, students agreed that dissection evaluations should continue to be a part of the course. This study showed that better quality of dissection was associated with higher scores on practice practical examinations, final practical, written, and NBME examinations. The study demonstrated a positive correlation between dissection evaluations, accompanied by formative feedback during the course, and higher scores on final course assessments. Anat Sci Educ 8: 45-52. © 2014 American Association of Anatomists. PMID:24799441

Nwachukwu, Chika; Lachman, Nirusha; Pawlina, Wojciech

2015-01-01

428

Microstructure analysis of dental castings used in fixed dental prostheses--a simple method for quality control.  

PubMed

The aim of this study was to evaluate the microstructural quality of noble alloy castings from commercial dental laboratories using the wiping-etching method as a simple method for quality control. In total, 240 castings from two noble alloys (AuAgCuPt and AuPtZn) were taken from a day's production of five different dental laboratories. The casting quality was evaluated by determining the grain size and by assessing the number and size of shrinkage cavities after acidic etching of the alloy surfaces. The AuAgCuPt alloy castings showed an acceptable quality in the microstructural analysis. The results of AuPtZn castings, however, were not satisfactory because 50.8% of the samples showed a remarkably poorer quality compared to the specifications made by the manufacturer. The proportion of the employed reclaimed alloy had no influence on the casting quality when AuAgCuPt alloy was used, but was influential when casting restorations with AuPtZn alloy. When determining the quantity and size of shrinkage cavities, none of the evaluated castings was of such a poor quality that a replacement of the castings had to be considered. The differences in grain size and quantity of shrinkage cavities were reflecting the individual laboratory process rather than the admixture of new/reclaimed alloy. The presented analysis can be used as a simple method for quality control of dental castings. PMID:20232094

Mehl, Christian; Lang, Björn; Kappert, Heinrich; Kern, Matthias

2011-06-01

429

Cement quality-control program shows substantial savings  

SciTech Connect

This paper shows improved results and savings from a quality-control program that emphasized controlled cement slurry properties and good field practices, including the use of spacers, controlled displacement rates, proper centralization, casing movement, and close monitoring of the cement blending. This study focuses on eight onshore and offshore fields in southern California. Roughly 135 wells with more than 180 casing strings were analyzed.

Bergeron, H.A.; Grant, W.H. Jr. (Chevron U.S.A., Inc. (US))

1990-08-01

430

Process-based quality for thermal spray via feedback control  

NASA Astrophysics Data System (ADS)

Quality control of a thermal spray system manufacturing process is difficult due to the many input variables that need to be controlled. Great care must be taken to ensure that the process remains constant to obtain a consistent quality of the parts. Control is greatly complicated by the fact that measurement of particle velocities and temperatures is a noisy stochastic process. This article illustrates the application of quality control concepts to a wire flame spray process. A central feature of the real-time control system is an automatic feedback control scheme that provides fine adjustments to ensure that uncontrolled variations are accommodated. It is shown how the control vectors can be constructed from simple process maps to independently control particle velocity and temperature. This control scheme is shown to perform well in a real production environment. We also demonstrate that slight variations in the feed wire curvature can greatly influence the process. Finally, the geometry of the spray system and sensor must remain constant for the best reproducibility.

Dykhuizen, R. C.; Neiser, R. A.

2006-09-01

431

MOAO LQG control for CANARY: theory and first laboratory results  

NASA Astrophysics Data System (ADS)

Single Conjugated Adaptive Optics (SCAO) is a proven technique used in order to correct the effect of atmospheric turbulence and vibrations of the WaveFront (WF). The corrected field of view (FoV) is however limited by the anisoplanetism effect. Many concepts of Wide Field AO (WFAO) systems are under development, especially for the design of Extremely Large Telescopes (ELTs) instruments. Multi-Object Adaptive Optics (MOAO) is one of these WFAO concepts that is particularly suited to high redshifts galaxies observations in very wide FoV. The E-ELT instrument EAGLE will use this approach. CANARY is the on-sky pathfinder for MOAO. It obtained the first compensated images on Natural Guide Stars (NGSs) at the William Herschel Telescope in September 2010. The control and performance optimization of such complex system are a key issue. Linear Quadratic Gaussian (LQG) control is an appealing strategy that provides optimal control for an explicit minimum variance performance criterion. It also provides a unified formalism that allows accounting for specific multi WF Sensing (WFS) channels, both for Laser Guide Stars (LGSs) and NGSs, and for various disturbance sources (turbulence, vibrations). Furthermore, preliminary simulation results suggest that performance can be significantly improved with tomographic LQG control compared to MMSE static reconstruction. Our objective is to obtain a first on-sky demonstration of tomographic LQG control during CANARY Phase B, featuring LGS and NGS WFS. We show how the specific MOAO CANARY configuration can be embedded in a state-space framework. The state-space model includes: stochastic auto regressive models of order 2 for the turbulent phase in each layer and for vibrations affecting the telescope; LGS and NGS measurement equations; DM model and delays in the loop. Model identification and off-line calculations necessary for a robust on-sky operation are discussed. First laboratory results and on-sky test plan for the coming observing run are presented.

Sivo, G.; Kulcsár, C.; Raynaud, H.-F.; Conan, J.-M.; Gendron, É.; Vidal, F.

2011-09-01

432

Radiative Transfer Theory Verified by Controlled Laboratory Experiments  

NASA Technical Reports Server (NTRS)

We report the results of high-accuracy controlled laboratory measurements of the Stokes reflection matrix for suspensions of submicrometer-sized latex particles in water and compare them with the results of a numerically exact computer solution of the vector radiative transfer equation (VRTE). The quantitative performance of the VRTE is monitored by increasing the volume packing density of the latex particles from 2 to 10. Our results indicate that the VRTE can be applied safely to random particulate media with packing densities up to 2. VRTE results for packing densities of the order of 5 should be taken with caution, whereas the polarized bidirectional reflectivity of suspensions with larger packing densities cannot be accurately predicted. We demonstrate that a simple modification of the phase matrix entering the VRTE based on the so-called static structure factor can be a promising remedy that deserves further examination.

Mishchenko, Michael I.; Goldstein, Dennis H.; Chowdhary, Jacek; Lompado, Arthur

2013-01-01

433

Manned Space-laboratories Control Center (MSCC) operations concept  

NASA Technical Reports Server (NTRS)

The initiation of the (German-) nationally funded control center for manned spaceflight operations triggered by the invitation of President Reagan to ESA, Japan, and Canada in 1984 to join the International Space Station Freedom Program is recalled. The requirements for a Manned Space-Laboratories Control Center (MSCC) as defined at the beginning of the planning and construction process in 1987 and the resulting modifications during the various programmatic scenario changes on NASA and ESA side between 1987 and now are presented. The validity of the original requirements with respect to the current scenario, which asks for a logical evolution from the execution of the D-2 mission in January 1993 via the European Columbus Precursor flights (in particular the E-1 mission) towards Columbus Attached Laboratory (APM)-operations by the end of this century are discussed. The resulting tasks of the MSCC for the various missions, the current configuration, and the ensuing operations concept leading from a more centralized concept for D-2 towards a decentralized payload operations concept for the APM and the implications with respect to European and International interfaces are presented. The planned Columbus MSCC facility architecture and its expected modifications introduced by the ESA Ministerial Conference in Munich (Nov. 1991) and follow-on discussions are briefly addressed. The last chapter outlines the planned services to be provided by the MSCC to the decentralized User (experimenter) community. Issues like decentralized mission planning on executional level, command validation, data flow coordination, archiving services, and telescience capabilities are highlighted from a MSCC point of view.

Kehr, Joachim

1993-01-01

434

Serological and Molecular Diagnosis of Hepatitis Delta Virus Infection: Results of a French National Quality Control Study  

PubMed Central

A French national quality control study for the serological and molecular diagnosis of hepatitis delta virus (HDV) was organized. Total HDV antibodies were properly detected by all laboratories; 8/14 laboratories failed to detect low titers of IgM, and 6/11 failed to quantify and/or underestimated the RNA viral load in several samples. These discrepancies are likely related to the molecular diversity of HDV. PMID:24523467

Brichler, Ségolène; Le Gal, Frédéric; Neri-Pinto, Fernando; Mansour, Wael; Roulot, Dominique; Laperche, Syria

2014-01-01

435

Design of Networked Control Systems (NCSs) on the basis of interplays between Quality of Control  

E-print Network

system [1], [2]. Several works [3], [4], [5] have considered the aspects Automatic Control and ComputerDesign of Networked Control Systems (NCSs) on the basis of interplays between Quality of Control. INTRODUCTION The study and design of Networked Control Systems (NCSs) is a very important research area today

Paris-Sud XI, Université de

436

Investigating Friendship Quality: An Exploration of Self-Control and Social Control Theories' Friendship Hypotheses  

ERIC Educational Resources Information Center

While associations with deviant peers are well understood to impact individual development, less is understood about the relationship between friendship quality and delinquency. Two criminological theories--social control theory and self-control theory--are able to offer an explanation for the latter relationship. Social control and self-control

Boman, John H., IV; Krohn, Marvin D.; Gibson, Chris L.; Stogner, John M.

2012-01-01

437

Exercise Training Restores Cardiac Protein Quality Control in Heart Failure  

PubMed Central

Exercise training is a well-known coadjuvant in heart failure treatment; however, the molecular mechanisms underlying its beneficial effects remain elusive. Despite the primary cause, heart failure is often preceded by two distinct phenomena: mitochondria dysfunction and cytosolic protein quality control disruption. The objective of the study was to determine the contribution of exercise training in regulating cardiac mitochondria metabolism and cytosolic protein quality control in a post-myocardial infarction-induced heart failure (MI-HF) animal model. Our data demonstrated that isolated cardiac mitochondria from MI-HF rats displayed decreased oxygen consumption, reduced maximum calcium uptake and elevated H2O2 release. These changes were accompanied by exacerbated cardiac oxidative stress and proteasomal insufficiency. Declined proteasomal activity contributes to cardiac protein quality control disruption in our MI-HF model. Using cultured neonatal cardiomyocytes, we showed that either antimycin A or H2O2 resulted in inactivation of proteasomal peptidase activity, accumulation of oxidized proteins and cell death, recapitulating our in vivo model. Of interest, eight weeks of exercise training improved cardiac function, peak oxygen uptake and exercise tolerance in MI-HF rats. Moreover, exercise training restored mitochondrial oxygen consumption, increased Ca2+-induced permeability transition and reduced H2O2 release in MI-HF rats. These changes were followed by reduced oxidative stress and better cardiac protein quality control. Taken together, our findings uncover the potential contribution of mitochondrial dysfunction and cytosolic protein quality control disruption to heart failure and highlight the positive effects of exercise training in re-establishing cardiac mitochondrial physiology and protein quality control, reinforcing the importance of this intervention as a non-pharmacological tool for heart failure therapy. PMID:23300764

Campos, Juliane C.; Queliconi, Bruno B.; Dourado, Paulo M. M.; Cunha, Telma F.; Zambelli, Vanessa O.; Bechara, Luiz R. G.; Kowaltowski, Alicia J.; Brum, Patricia C.; Mochly-Rosen, Daria; Ferreira, Julio C. B.

2012-01-01

438

Quality of the clinical laboratory department in a specialized hospital in Alexandria, Egypt.  

PubMed

Assessment and improvement of turnaround times (TAT) as well as customer satisfaction is essential for laboratory quality management. This study in a specialized hospital in Alexandria, Egypt measured the current TAT for outpatient department bilirubin samples and evaluated the satisfaction of physicians with aspects of clinical laboratory services. While the mean TAT for 110 bilirubin tests [58.1 (SD 31.8) min] was within the College of American Pathologists' benchmark, the 90th percentile was long (96.7 min); 62.7% of tests were reported within 60 min. The mean overall satisfaction score of physicians (range 1-5) was 3.46 (SD 0.49). The highest satisfaction rating was for staff courtesy while the lowest ratings were for laboratory management responsiveness, outpatient stat TAT and critical value notification. Quality or reliability of results was judged by physicians as the most important factor (32.3%), followed by routine test TAT (18.5%). Further analysis of the different steps of the TAT would be helpful and follow-up through examining outliers is recommended PMID:23520910

Elhoseeny, T A; Mohammad, E K

2013-01-01

439

Posttranslational Quality Control: Folding, Refolding, and Degrading Proteins  

NSDL National Science Digital Library

Polypeptides emerging from the ribosome must fold into stable three-dimensional structures and maintain that structure throughout their functional lifetimes. Maintaining quality control over protein structure and function depends on molecular chaperones and proteases, both of which can recognize hydrophobic regions exposed on unfolded polypeptides. Molecular chaperones promote proper protein folding and prevent aggregation, and energy-dependent proteases eliminate irreversibly damaged proteins. The kinetics of partitioning between chaperones and proteases determines whether a protein will be destroyed before it folds properly. When both quality control options fail, damaged proteins accumulate as aggregates, a process associated with amyloid diseases.

Sue Wickner (National Cancer Institute;Laboratory of Molecular Biology); Michael Maurizi (National Cancer Institute;Laboratory of Cell Biology); Susan Gottesman (National Cancer Institute;Laboratory of Molecular Biology)

1999-12-03

440

Setting the Standards: Quality Control in the Secretory Pathway  

NSDL National Science Digital Library

A variety of quality control mechanisms operate in the endoplasmic reticulum and in downstream compartments of the secretory pathway to ensure the fidelity and regulation of protein expression during cell life and differentiation. As a rule, only proteins that pass a stringent selection process are transported to their target organelles and compartments. If proper maturation fails, the aberrant products are degraded. Quality control improves folding efficiency by retaining proteins in the special folding environment of the endoplasmic reticulum, and it prevents harmful effects that could be caused by the deployment of incompletely folded or assembled proteins.

Lars Ellgaard (Swiss Federal Institute of Technology (ETH);Institute of Biochemistry); Maurizio Molinari (Swiss Federal Institute of Technology (ETH);Institute of Biochemistry); Ari Helenius (Swiss Federal Institute of Technology (ETH);Institute of Biochemistry)

1999-12-03

441

Implementing a Laboratory Information Management System (LIMS) in an Army Corps of Engineers' Water Quality Testing Laboratory  

Microsoft Academic Search

Today's environmental laboratory faces numerous challenge such as enhanced regulatory oversight, decreasing costs per tests, and numerous laboratory accreditations that are offered and\\/or required. Selecting the LIMS that will “fit” your laboratory is important, but so is finding a system that has the flexibility to conform to the changes that will be required by the laboratory over the years. These

Elizabeth Turner; Christine Paszko; Don Kolva

2001-01-01

442

40 CFR 81.114 - Augusta (Georgia)-Aiken (South Carolina) Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...Aiken (South Carolina) Interstate Air Quality Control Region. 81.114 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.114...

2011-07-01

443

40 CFR 81.214 - Black Hills-Rapid City Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

... Black Hills-Rapid City Intrastate Air Quality Control Region. 81.214 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.214 Black...

2011-07-01

444

40 CFR 81.85 - Metropolitan Sioux Falls Interstate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

... Metropolitan Sioux Falls Interstate Air Quality Control Region. 81.85 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.85...

2010-07-01

445

40 CFR 81.214 - Black Hills-Rapid City Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

... Black Hills-Rapid City Intrastate Air Quality Control Region. 81.214 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.214 Black...

2010-07-01

446

40 CFR 81.247 - South Central Alaska Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false South Central Alaska Intrastate Air Quality Control Region. 81.247 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.247 South...

2011-07-01

447

40 CFR 81.246 - Northern Alaska Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Northern Alaska Intrastate Air Quality Control Region. 81.246 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.246 Northern...

2011-07-01

448

40 CFR 81.114 - Augusta (Georgia)-Aiken (South Carolina) Interstate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...Aiken (South Carolina) Interstate Air Quality Control Region. 81.114 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.114...

2010-07-01

449

40 CFR 81.112 - Charleston Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Charleston Intrastate Air Quality Control Region. 81.112 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.112...

2010-07-01

450

40 CFR 81.261 - Southeast Iowa Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Southeast Iowa Intrastate Air Quality Control Region. 81.261 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.261 Southeast...

2010-07-01

451

40 CFR 81.107 - Greenwood Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Greenwood Intrastate Air Quality Control Region. 81.107 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.107 Greenwood...

2010-07-01

452

40 CFR 81.62 - Northeast Mississippi Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Northeast Mississippi Intrastate Air Quality Control Region. 81.62 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.62 Northeast...

2011-07-01

453

40 CFR 81.98 - Burlington-Keokuk Interstate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...false Burlington-Keokuk Interstate Air Quality Control Region. 81.98 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.98...

2010-07-01

454

40 CFR 81.112 - Charleston Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Charleston Intrastate Air Quality Control Region. 81.112 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.112...

2011-07-01

455

40 CFR 81.30 - Southeastern Wisconsin Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Southeastern Wisconsin Intrastate Air Quality Control Region. 81.30 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.30...

2011-07-01

456

40 CFR 81.85 - Metropolitan Sioux Falls Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

... Metropolitan Sioux Falls Interstate Air Quality Control Region. 81.85 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.85...

2011-07-01

457

40 CFR 81.87 - Metropolitan Boise Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

... false Metropolitan Boise Intrastate Air Quality Control Region. 81.87 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.87...

2011-07-01

458

40 CFR 81.27 - Minneapolis-St. Paul Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Minneapolis-St. Paul Intrastate Air Quality Control Region. 81.27 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.27...

2011-07-01

459

40 CFR 81.247 - South Central Alaska Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...false South Central Alaska Intrastate Air Quality Control Region. 81.247 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.247 South...

2010-07-01

460

40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

... false Central Oklahoma Intrastate Air Quality Control Region. 81.47 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.47 Central...

2010-07-01

461

40 CFR 81.43 - Metropolitan Toledo Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Metropolitan Toledo Interstate Air Quality Control Region. 81.43 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.43...

2011-07-01

462

40 CFR 81.261 - Southeast Iowa Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Southeast Iowa Intrastate Air Quality Control Region. 81.261 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.261 Southeast...

2011-07-01

463

40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...false Northeastern Oklahoma Intrastate Air Quality Control Region. 81.79 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.79...

2010-07-01

464

40 CFR 81.62 - Northeast Mississippi Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...false Northeast Mississippi Intrastate Air Quality Control Region. 81.62 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.62 Northeast...

2010-07-01

465

40 CFR 81.51 - Portland Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Portland Interstate Air Quality Control Region. 81.51 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.51 Portland...

2011-07-01

466

40 CFR 81.30 - Southeastern Wisconsin Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...false Southeastern Wisconsin Intrastate Air Quality Control Region. 81.30 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.30...

2010-07-01

467

40 CFR 81.98 - Burlington-Keokuk Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Burlington-Keokuk Interstate Air Quality Control Region. 81.98 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.98...

2011-07-01

468

40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

... false Central Oklahoma Intrastate Air Quality Control Region. 81.47 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.47 Central...

2011-07-01

469

40 CFR 81.51 - Portland Interstate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Portland Interstate Air Quality Control Region. 81.51 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.51 Portland...

2010-07-01

470

40 CFR 81.36 - Maricopa Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Maricopa Intrastate Air Quality Control Region. 81.36 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.36 Maricopa...

2010-07-01

471

40 CFR 81.16 - Metropolitan Denver Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...false Metropolitan Denver Intrastate Air Quality Control Region. 81.16 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.16...

2010-07-01

472

40 CFR 81.16 - Metropolitan Denver Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Metropolitan Denver Intrastate Air Quality Control Region. 81.16 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.16...

2011-07-01

473

40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Northeastern Oklahoma Intrastate Air Quality Control Region. 81.79 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.79...

2011-07-01

474

40 CFR 81.36 - Maricopa Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Maricopa Intrastate Air Quality Control Region. 81.36 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.36 Maricopa...

2011-07-01

475

40 CFR 81.246 - Northern Alaska Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Northern Alaska Intrastate Air Quality Control Region. 81.246 Section 81...CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.246 Northern...

2010-07-01

476

40 CFR 81.196 - South Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false South Central Michigan Intrastate Air Quality Control Region...Regions § 81.196 South Central Michigan Intrastate Air Quality Control Region. The South Central Michigan Intrastate Air Quality...

2010-07-01

477

40 CFR 81.196 - South Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false South Central Michigan Intrastate Air Quality Control Region...Regions § 81.196 South Central Michigan Intrastate Air Quality Control Region. The South Central Michigan Intrastate Air Quality...

2014-07-01

478

40 CFR 81.196 - South Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false South Central Michigan Intrastate Air Quality Control Region...Regions § 81.196 South Central Michigan Intrastate Air Quality Control Region. The South Central Michigan Intrastate Air Quality...

2011-07-01

479

40 CFR 81.196 - South Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false South Central Michigan Intrastate Air Quality Control Region...Regions § 81.196 South Central Michigan Intrastate Air Quality Control Region. The South Central Michigan Intrastate Air Quality...

2012-07-01

480

40 CFR 81.196 - South Central Michigan Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false South Central Michigan Intrastate Air Quality Control Region...Regions § 81.196 South Central Michigan Intrastate Air Quality Control Region. The South Central Michigan Intrastate Air Quality...

2013-07-01

481

40 CFR 81.100 - Eastern Washington-Northern Idaho Interstate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...false Eastern Washington-Northern Idaho Interstate Air Quality Control Region...100 Eastern Washington-Northern Idaho Interstate Air Quality Control Region. The Eastern Washington-Northern Idaho Interstate Air Quality...

2010-07-01

482

40 CFR 81.100 - Eastern Washington-Northern Idaho Interstate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...false Eastern Washington-Northern Idaho Interstate Air Quality Control Region...100 Eastern Washington-Northern Idaho Interstate Air Quality Control Region. The Eastern Washington-Northern Idaho Interstate Air Quality...

2014-07-01

483

40 CFR 81.100 - Eastern Washington-Northern Idaho Interstate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...false Eastern Washington-Northern Idaho Interstate Air Quality Control Region...100 Eastern Washington-Northern Idaho Interstate Air Quality Control Region. The Eastern Washington-Northern Idaho Interstate Air Quality...

2012-07-01

484

40 CFR 81.100 - Eastern Washington-Northern Idaho Interstate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...false Eastern Washington-Northern Idaho Interstate Air Quality Control Region...100 Eastern Washington-Northern Idaho Interstate Air Quality Control Region. The Eastern Washington-Northern Idaho Interstate Air Quality...

2011-07-01

485

40 CFR 81.100 - Eastern Washington-Northern Idaho Interstate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...false Eastern Washington-Northern Idaho Interstate Air Quality Control Region...100 Eastern Washington-Northern Idaho Interstate Air Quality Control Region. The Eastern Washington-Northern Idaho Interstate Air Quality...

2013-07-01

486

40 CFR 81.205 - Zanesville-Cambridge Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Zanesville-Cambridge Intrastate Air Quality Control Region...Regions § 81.205 Zanesville-Cambridge Intrastate Air Quality Control Region. The Zanesville-Cambridge Intrastate Air Quality...

2010-07-01

487

40 CFR 81.205 - Zanesville-Cambridge Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false Zanesville-Cambridge Intrastate Air Quality Control Region...Regions § 81.205 Zanesville-Cambridge Intrastate Air Quality Control Region. The Zanesville-Cambridge Intrastate Air Quality...

2011-07-01

488

40 CFR 81.205 - Zanesville-Cambridge Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false Zanesville-Cambridge Intrastate Air Quality Control Region...Regions § 81.205 Zanesville-Cambridge Intrastate Air Quality Control Region. The Zanesville-Cambridge Intrastate Air Quality...

2013-07-01

489

40 CFR 81.205 - Zanesville-Cambridge Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false Zanesville-Cambridge Intrastate Air Quality Control Region...Regions § 81.205 Zanesville-Cambridge Intrastate Air Quality Control Region. The Zanesville-Cambridge Intrastate Air Quality...

2014-07-01

490

40 CFR 81.205 - Zanesville-Cambridge Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false Zanesville-Cambridge Intrastate Air Quality Control Region...Regions § 81.205 Zanesville-Cambridge Intrastate Air Quality Control Region. The Zanesville-Cambridge Intrastate Air Quality...

2012-07-01

491

40 CFR 81.136 - Corpus Christi-Victoria Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Corpus Christi-Victoria Intrastate Air Quality Control Region...Regions § 81.136 Corpus Christi-Victoria Intrastate Air Quality Control Region. The Corpus Christi-Victoria Intrastate Air Quality...

2010-07-01

492

40 CFR 81.105 - South Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false South Central Pennsylvania Intrastate Air Quality Control Region...Regions § 81.105 South Central Pennsylvania Intrastate Air Quality Control Region. The South Central Pennsylvania Intrastate Air Quality...

2014-07-01

493

40 CFR 81.105 - South Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2011 CFR

...2011-07-01 false South Central Pennsylvania Intrastate Air Quality Control Region...Regions § 81.105 South Central Pennsylvania Intrastate Air Quality Control Region. The South Central Pennsylvania Intrastate Air Quality...

2011-07-01

494

40 CFR 81.105 - South Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false South Central Pennsylvania Intrastate Air Quality Control Region...Regions § 81.105 South Central Pennsylvania Intrastate Air Quality Control Region. The South Central Pennsylvania Intrastate Air Quality...

2013-07-01

495

40 CFR 81.105 - South Central Pennsylvania Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false South Central Pennsylvania Intrastate Air Quality Control Region...Regions § 81.105 South Central Pennsylvania Intrastate Air Quality Control Region. The South Central Pennsylvania Intrastate Air Quality...

2012-07-01

496

40 CFR 81.124 - North Central Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false North Central Oklahoma Intrastate Air Quality Control Region...Regions § 81.124 North Central Oklahoma Intrastate Air Quality Control Region. The North Central Oklahoma Intrastate Air Quality...

2013-07-01

497

40 CFR 81.125 - Southwestern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2014 CFR

...2014-07-01 false Southwestern Oklahoma Intrastate Air Quality Control Region...Regions § 81.125 Southwestern Oklahoma Intrastate Air Quality Control Region. The Southwestern Oklahoma Intrastate Air Quality...

2014-07-01

498

40 CFR 81.126 - Northwestern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2013 CFR

...2013-07-01 false Northwestern Oklahoma Intrastate Air Quality Control Region...Regions § 81.126 Northwestern Oklahoma Intrastate Air Quality Control Region. The Northwestern Oklahoma Intrastate Air Quality...

2013-07-01

499

40 CFR 81.123 - Southeastern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2010 CFR

...2010-07-01 false Southeastern Oklahoma Intrastate Air Quality Control Region...Regions § 81.123 Southeastern Oklahoma Intrastate Air Quality Control Region. The Southeastern Oklahoma Intrastate Air Quality...

2010-07-01

500

40 CFR 81.126 - Northwestern Oklahoma Intrastate Air Quality Control Region.  

Code of Federal Regulations, 2012 CFR

...2012-07-01 false Northwestern Oklahoma Intrastate Air Quality Control Region...Regions § 81.126 Northwestern Oklahoma Intrastate Air Quality Control Region. The Northwestern Oklahoma Intrastate Air Quality...

2012-07-01