Sample records for quality control analyses

  1. Multiple fingerprinting analyses in quality control of Cassiae Semen polysaccharides.

    PubMed

    Cheng, Jing; He, Siyu; Wan, Qiang; Jing, Pu

    2018-03-01

    Quality control issue overshadows potential health benefits of Cassiae Semen due to the analytic limitations. In this study, multiple-fingerprint analysis integrated with several chemometrics was performed to assess the polysaccharide quality of Cassiae Semen harvested from different locations. FT-IR, HPLC, and GC fingerprints of polysaccharide extracts from the authentic source were established as standard profiles, applying to assess the quality of foreign sources. Analyses of FT-IR fingerprints of polysaccharide extracts using either Pearson correlation analysis or principal component analysis (PCA), or HPLC fingerprints of partially hydrolyzed polysaccharides with PCA, distinguished the foreign sources from the authentic source. However, HPLC or GC fingerprints of completely hydrolyzed polysaccharides couldn't identify all foreign sources and the methodology using GC is quite limited in determining the monosaccharide composition. This indicates that FT-IR/HPLC fingerprints of non/partially-hydrolyzed polysaccharides, respectively, accompanied by multiple chemometrics methods, might be potentially applied in detecting and differentiating sources of Cassiae Semen. Copyright © 2018 Elsevier B.V. All rights reserved.

  2. Quality control and conduct of genome-wide association meta-analyses

    PubMed Central

    Winkler, Thomas W; Day, Felix R; Croteau-Chonka, Damien C; Wood, Andrew R; Locke, Adam E; Mägi, Reedik; Ferreira, Teresa; Fall, Tove; Graff, Mariaelisa; Justice, Anne E; Luan, Jian'an; Gustafsson, Stefan; Randall, Joshua C; Vedantam, Sailaja; Workalemahu, Tsegaselassie; Kilpeläinen, Tuomas O; Scherag, André; Esko, Tonu; Kutalik, Zoltán; Heid, Iris M; Loos, Ruth JF

    2014-01-01

    Rigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for [1] organizational aspects of GWAMAs, and for [2] QC at the study file level, the meta-level across studies, and the meta-analysis output level. Real–world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide a general protocol for conducting GWAMAs and carrying out QC to minimize errors and to guarantee maximum use of the data. We also include details for use of a powerful and flexible software package called EasyQC. For consortia of comparable size to the GIANT consortium, the present protocol takes a minimum of about 10 months to complete. PMID:24762786

  3. Quality control and conduct of genome-wide association meta-analyses.

    PubMed

    Winkler, Thomas W; Day, Felix R; Croteau-Chonka, Damien C; Wood, Andrew R; Locke, Adam E; Mägi, Reedik; Ferreira, Teresa; Fall, Tove; Graff, Mariaelisa; Justice, Anne E; Luan, Jian'an; Gustafsson, Stefan; Randall, Joshua C; Vedantam, Sailaja; Workalemahu, Tsegaselassie; Kilpeläinen, Tuomas O; Scherag, André; Esko, Tonu; Kutalik, Zoltán; Heid, Iris M; Loos, Ruth J F

    2014-05-01

    Rigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for (i) organizational aspects of GWAMAs, and for (ii) QC at the study file level, the meta-level across studies and the meta-analysis output level. Real-world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide a general protocol for conducting GWAMAs and carrying out QC to minimize errors and to guarantee maximum use of the data. We also include details for the use of a powerful and flexible software package called EasyQC. Precise timings will be greatly influenced by consortium size. For consortia of comparable size to the GIANT Consortium, this protocol takes a minimum of about 10 months to complete.

  4. QUALITY CONTROLS FOR PCR

    EPA Science Inventory

    The purpose of this presentation is to present an overview of the quality control (QC) sections of a draft EPA document entitled, "Quality Assurance/Quality Control Guidance for Laboratories Performing PCR Analyses on Environmental Samples." This document has been prepared by th...

  5. Quality assurance in road traffic analyses in Switzerland.

    PubMed

    Briellmann, Thomas A; Sigrist, Thomas; Augsburger, Marc; Favrat, Bernard; Oestreich, Andrea; Deom, André

    2010-05-20

    Swiss laboratories performing toxicological road traffic analyses have been authorized for many years by the Swiss Federal Roads Office (FEDRO). In 2003 FEDRO signed a contract with the Swiss Society of Legal Medicine (SSLM) to organize the complete quality management concerning road traffic analyses. For this purpose a multidisciplinary working group was established under the name of "road traffic commission (RTC)". RTC has to organize external quality control, to interpret the results of these controls, to perform audits in the laboratories and to report all results to FEDRO. Furthermore the working group can be mandated for special tasks by FEDRO. As an independent organization the Swiss Center for Quality Control (CSCQ) in Geneva manages the external quality controls in the laboratory over the past years. All tested drugs and psychoactive substances are listed in a federal instruction. The so-called 'zero tolerance substances' (THC, morphine, cocaine, amphetamine, methamphetamine, MDMA and MDEA) and their metabolites have to be tested once a year, all other substances (benzodiazepines, zolpidem, phenobarbital, etc.) periodically. Results over the last years show that all laboratories are generally within the confidence interval of +/-30% of the mean value. In cases of non-conformities measures have to be taken immediately and reported to the working group. External audits are performed triennially but accredited laboratories can combine this audit with the approval of the Swiss Accreditation Service (SAS). During the audits a special checklist filled in by the laboratory director is assessed. Non-conformities have to be corrected. During the process of establishing a new legislation, RTC had an opportunity of advising FEDRO. In collaboration with FEDRO, RTC and hence SSLM can work actively on improving of quality assurance in road traffic toxicological analyses, and has an opportunity to bring its professional requests to the federal authorities.

  6. 7 CFR 58.733 - Quality control tests.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 3 2011-01-01 2011-01-01 false Quality control tests. 58.733 Section 58.733... Procedures § 58.733 Quality control tests. (a) Chemical analyses. The following chemical analyses shall be... pasteurization by means of the phosphatase test, as well as any other tests necessary to assure good quality...

  7. 7 CFR 58.733 - Quality control tests.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Quality control tests. 58.733 Section 58.733... Procedures § 58.733 Quality control tests. (a) Chemical analyses. The following chemical analyses shall be... pasteurization by means of the phosphatase test, as well as any other tests necessary to assure good quality...

  8. A systematic review of the quality of statistical methods employed for analysing quality of life data in cancer randomised controlled trials.

    PubMed

    Hamel, Jean-Francois; Saulnier, Patrick; Pe, Madeline; Zikos, Efstathios; Musoro, Jammbe; Coens, Corneel; Bottomley, Andrew

    2017-09-01

    Over the last decades, Health-related Quality of Life (HRQoL) end-points have become an important outcome of the randomised controlled trials (RCTs). HRQoL methodology in RCTs has improved following international consensus recommendations. However, no international recommendations exist concerning the statistical analysis of such data. The aim of our study was to identify and characterise the quality of the statistical methods commonly used for analysing HRQoL data in cancer RCTs. Building on our recently published systematic review, we analysed a total of 33 published RCTs studying the HRQoL methods reported in RCTs since 1991. We focussed on the ability of the methods to deal with the three major problems commonly encountered when analysing HRQoL data: their multidimensional and longitudinal structure and the commonly high rate of missing data. All studies reported HRQoL being assessed repeatedly over time for a period ranging from 2 to 36 months. Missing data were common, with compliance rates ranging from 45% to 90%. From the 33 studies considered, 12 different statistical methods were identified. Twenty-nine studies analysed each of the questionnaire sub-dimensions without type I error adjustment. Thirteen studies repeated the HRQoL analysis at each assessment time again without type I error adjustment. Only 8 studies used methods suitable for repeated measurements. Our findings show a lack of consistency in statistical methods for analysing HRQoL data. Problems related to multiple comparisons were rarely considered leading to a high risk of false positive results. It is therefore critical that international recommendations for improving such statistical practices are developed. Copyright © 2017. Published by Elsevier Ltd.

  9. Questa baseline and pre-mining ground-water-quality investigation. 16. Quality assurance and quality control for water analyses

    USGS Publications Warehouse

    McCleskey, R. Blaine; Nordstrom, D. Kirk; Naus, Cheryl A.

    2004-01-01

    The Questa baseline and pre-mining ground-water quality investigation has the main objective of inferring the ground-water chemistry at an active mine site. Hence, existing ground-water chemistry and its quality assurance and quality control is of crucial importance to this study and a substantial effort was spent on this activity. Analyses of seventy-two blanks demonstrated that contamination from processing, handling, and analyses were minimal. Blanks collected using water deionized with anion and cation exchange resins contained elevated concentrations of boron (0.17 milligrams per liter (mg/L)) and silica (3.90 mg/L), whereas double-distilled water did not. Boron and silica were not completely retained by the resins because they can exist as uncharged species in water. Chloride was detected in ten blanks, the highest being 3.9 mg/L, probably as the result of washing bottles, filter apparatuses, and tubing with hydrochloric acid. Sulfate was detected in seven blanks; the highest value was 3.0 mg/L, most likely because of carryover from the high sulfate waters sampled. With only a few exceptions, the remaining blank analyses were near or below method detection limits. Analyses of standard reference water samples by cold-vapor atomic fluorescence spectrometry, ion chromatography, inductively coupled plasma-optical emission spectrometry, inductively coupled plasma-mass spectrometry, FerroZine, graphite furnace atomic absorption spectrometry, hydride generation atomic spectrometry, and titration provided an accuracy check. For constituents greater than 10 times the detection limit, 95 percent of the samples had a percent error of less than 8.5. For constituents within 10 percent of the detection limit, the percent error often increased as a result of measurement imprecision. Charge imbalance was calculated using WATEQ4F and 251 out of 257 samples had a charge imbalance less than 11.8 percent. The charge imbalance for all samples ranged from -16 to 16 percent. Spike

  10. Low Reporting Quality of the Meta-Analyses in Diagnostic Pathology.

    PubMed

    Liu, Xulei; Kinzler, Michael; Yuan, Jiangfan; He, Guozhong; Zhang, Lanjing

    2017-03-01

    - Little is known regarding the reporting quality of meta-analyses in diagnostic pathology. - To compare reporting quality of meta-analyses in diagnostic pathology and medicine and to examine factors associated with reporting quality of diagnostic pathology meta-analyses. - Meta-analyses were identified in 12 major diagnostic pathology journals without specifying years and 4 major medicine journals in 2006 and 2011 using PubMed. Reporting quality of meta-analyses was evaluated using the 27-item checklist of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement published in 2009. A higher PRISMA score indicates higher reporting quality. - Forty-one diagnostic pathology meta-analyses and 118 medicine meta-analyses were included. Overall, reporting quality of meta-analyses in diagnostic pathology was lower than that in medicine (median [interquartile range] = 22 [15, 25] versus 27 [23, 28], P < .001). Compared with medicine meta-analyses, diagnostic pathology meta-analyses less likely reported 23 of the 27 items (85.2%) on the PRISMA checklist, but more likely reported the data items. Higher reporting quality of diagnostic pathology meta-analyses was associated with recent publication years (later than 2009 versus 2009 or earlier, P = .002) and non-North American first authors (versus North American, P = .001), but not journal publisher's location (P = .11). Interestingly, reporting quality was not associated with adjusted citation ratio for meta-analyses in either diagnostic pathology or medicine (P = .40 and P = .09, respectively). - Meta-analyses in diagnostic pathology had lower reporting quality than those in medicine. Reporting quality of diagnostic pathology meta-analyses is linked to publication year and first author's location, but not to journal publisher's location or article's adjusted citation ratios. More research and education on meta-analysis methodology may improve the reporting quality of diagnostic pathology meta-analyses.

  11. Methodological Quality Assessment of Meta-Analyses of Hyperthyroidism Treatment.

    PubMed

    Qin, Yahong; Yao, Liang; Shao, Feifei; Yang, Kehu; Tian, Limin

    2018-01-01

    Hyperthyroidism is a common condition that is associated with increased morbidity and mortality. A number of meta-analyses (MAs) have assessed the therapeutic measures for hyperthyroidism, including antithyroid drugs, surgery, and radioiodine, however, the methodological quality has not been evaluated. This study evaluated the methodological quality and summarized the evidence obtained from MAs of hyperthyroidism treatments for radioiodine, antithyroid drugs, and surgery. We searched the PubMed, EMBASE, Cochrane Library, Web of Science, and Chinese Biomedical Literature Database databases. Two investigators independently assessed the meta-analyses titles and abstracts for inclusion. Methodological quality was assessed using the validated AMSTAR (Assessing the Methodological Quality of Systematic Reviews) tool. A total of 26 MAs fulfilled the inclusion criteria. Based on the AMSTAR scores, the average methodological quality was 8.31, with large variability ranging from 4 to 11. The methodological quality of English meta-analyses was better than that of Chinese meta-analyses. Cochrane reviews had better methodological quality than non-Cochrane reviews due to better study selection and data extraction, the inclusion of unpublished studies, and better reporting of study characteristics. The authors did not report conflicts of interest in 53.8% meta-analyses, and 19.2% did not report the harmful effects of treatment. Publication bias was not assessed in 38.5% of meta-analyses, and 19.2% did not report the follow-up time. Large-scale assessment of methodological quality of meta-analyses of hyperthyroidism treatment highlighted methodological strengths and weaknesses. Consideration of scientific quality when formulating conclusions should be made explicit. Future meta-analyses should improve on reporting conflict of interest. © Georg Thieme Verlag KG Stuttgart · New York.

  12. Chemical analyses in the World Coal Quality Inventory

    USGS Publications Warehouse

    Tewalt, Susan J.; Belkin, Harvey E.; SanFilipo, John R.; Merrill, Matthew D.; Palmer, Curtis A.; Warwick, Peter D.; Karlsen, Alexander W.; Finkelman, Robert B.; Park, Andy J.

    2010-01-01

    The main objective of the World Coal Quality Inventory (WoCQI) was to collect and analyze a global set of samples of mined coal during a time period from about 1995 to 2006 (Finkelman and Lovern, 2001). Coal samples were collected by foreign collaborators and submitted to country specialists in the U.S. Geological Survey (USGS) Energy Program. However, samples from certain countries, such as Afghanistan, India, and Kyrgyzstan, were collected collaboratively in the field with USGS personnel. Samples were subsequently analyzed at two laboratories: the USGS Inorganic Geochemistry Laboratory located in Denver, CO and a commercial laboratory (Geochemical Testing, Inc.) located in Somerset, PA. Thus the dataset, which is in Excel (2003) format and includes 1,580 samples from 57 countries, does not have the inter-laboratory variability that is present in many compilations. Major-, minor-, and trace-element analyses from the USGS laboratory, calculated to a consistent analytical basis (dry, whole-coal) and presented with available sample identification information, are sorted alphabetically by country name. About 70 percent of the samples also have data from the commercial laboratory, which are presented on an as-received analytical basis. The USGS initiated a laboratory review of quality assurance in 2008, covering quality control and methodology used in inorganic chemical analyses of coal, coal power plant ash, water, and sediment samples. This quality control review found that data generated by the USGS Inorganic Geochemistry Laboratory from 1996 through 2006 were characterized by quality practices that did not meet USGS requirements commonly in use at the time. The most serious shortcomings were (1) the adjustment of raw sample data to standards when the instrument values for those standards exceeded acceptable limits or (2) the insufficient use of multiple standards to provide adequate quality assurance. In general, adjustment of raw data to account for instrument

  13. Methodological Quality Assessment of Meta-analyses in Endodontics.

    PubMed

    Kattan, Sereen; Lee, Su-Min; Kohli, Meetu R; Setzer, Frank C; Karabucak, Bekir

    2018-01-01

    The objectives of this review were to assess the methodological quality of published meta-analyses related to endodontics using the assessment of multiple systematic reviews (AMSTAR) tool and to provide a follow-up to previously published reviews. Three electronic databases were searched for eligible studies according to the inclusion and exclusion criteria: Embase via Ovid, The Cochrane Library, and Scopus. The electronic search was amended by a hand search of 6 dental journals (International Endodontic Journal; Journal of Endodontics; Australian Endodontic Journal; Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology; Endodontics and Dental Traumatology; and Journal of Dental Research). The searches were conducted to include articles published after July 2009, and the deadline for inclusion of the meta-analyses was November 30, 2016. The AMSTAR assessment tool was used to evaluate the methodological quality of all included studies. A total of 36 reports of meta-analyses were included. The overall quality of the meta-analyses reports was found to be medium, with an estimated mean overall AMSTAR score of 7.25 (95% confidence interval, 6.59-7.90). The most poorly assessed areas were providing an a priori design, the assessment of the status of publication, and publication bias. In recent publications in the field of endodontics, the overall quality of the reported meta-analyses is medium according to AMSTAR. Copyright © 2017 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

  14. Implementing self sustained quality control procedures in a clinical laboratory.

    PubMed

    Khatri, Roshan; K C, Sanjay; Shrestha, Prabodh; Sinha, J N

    2013-01-01

    Quality control is an essential component in every clinical laboratory which maintains the excellence of laboratory standards, supplementing to proper disease diagnosis, patient care and resulting in overall strengthening of health care system. Numerous quality control schemes are available, with combinations of procedures, most of which are tedious, time consuming and can be "too technical" whereas commercially available quality control materials can be expensive especially for laboratories in developing nations like Nepal. Here, we present a procedure performed at our centre with self prepared control serum and use of simple statistical tools for quality assurance. The pooled serum was prepared as per guidelines for preparation of stabilized liquid quality control serum from human sera. Internal Quality Assessment was performed on this sample, on a daily basis which included measurement of 12 routine biochemical parameters. The results were plotted on Levey-Jennings charts and analysed with quality control rules, for a period of one month. The mean levels of biochemical analytes in self prepared control serum were within normal physiological range. This serum was evaluated every day along with patients' samples. The results obtained were plotted on control charts and analysed using common quality control rules to identify possible systematic and random errors. Immediate mitigation measures were taken and the dispatch of erroneous reports was avoided. In this study we try to highlight on a simple internal quality control procedure which can be performed by laboratories, with minimum technology, expenditure, and expertise and improve reliability and validity of the test reports.

  15. Methodological quality of meta-analyses of single-case experimental studies.

    PubMed

    Jamshidi, Laleh; Heyvaert, Mieke; Declercq, Lies; Fernández-Castilla, Belén; Ferron, John M; Moeyaert, Mariola; Beretvas, S Natasha; Onghena, Patrick; Van den Noortgate, Wim

    2017-12-28

    Methodological rigor is a fundamental factor in the validity and credibility of the results of a meta-analysis. Following an increasing interest in single-case experimental design (SCED) meta-analyses, the current study investigates the methodological quality of SCED meta-analyses. We assessed the methodological quality of 178 SCED meta-analyses published between 1985 and 2015 through the modified Revised-Assessment of Multiple Systematic Reviews (R-AMSTAR) checklist. The main finding of the current review is that the methodological quality of the SCED meta-analyses has increased over time, but is still low according to the R-AMSTAR checklist. A remarkable percentage of the studies (93.80% of the included SCED meta-analyses) did not even reach the midpoint score (22, on a scale of 0-44). The mean and median methodological quality scores were 15.57 and 16, respectively. Relatively high scores were observed for "providing the characteristics of the included studies" and "doing comprehensive literature search". The key areas of deficiency were "reporting an assessment of the likelihood of publication bias" and "using the methods appropriately to combine the findings of studies". Although the results of the current review reveal that the methodological quality of the SCED meta-analyses has increased over time, still more efforts are needed to improve their methodological quality. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. Reporting and methodological quality of meta-analyses in urological literature.

    PubMed

    Xia, Leilei; Xu, Jing; Guzzo, Thomas J

    2017-01-01

    To assess the overall quality of published urological meta-analyses and identify predictive factors for high quality. We systematically searched PubMed to identify meta-analyses published from January 1st, 2011 to December 31st, 2015 in 10 predetermined major paper-based urology journals. The characteristics of the included meta-analyses were collected, and their reporting and methodological qualities were assessed by the PRISMA checklist (27 items) and AMSTAR tool (11 items), respectively. Descriptive statistics were used for individual items as a measure of overall compliance, and PRISMA and AMSTAR scores were calculated as the sum of adequately reported domains. Logistic regression was used to identify predictive factors for high qualities. A total of 183 meta-analyses were included. The mean PRISMA and AMSTAR scores were 22.74 ± 2.04 and 7.57 ± 1.41, respectively. PRISMA item 5, protocol and registration, items 15 and 22, risk of bias across studies, items 16 and 23, additional analysis had less than 50% adherence. AMSTAR item 1, " a priori " design, item 5, list of studies and item 10, publication bias had less than 50% adherence. Logistic regression analyses showed that funding support and " a priori " design were associated with superior reporting quality, following PRISMA guideline and " a priori " design were associated with superior methodological quality. Reporting and methodological qualities of recently published meta-analyses in major paper-based urology journals are generally good. Further improvement could potentially be achieved by strictly adhering to PRISMA guideline and having " a priori " protocol.

  17. Reporting and methodological quality of meta-analyses in urological literature

    PubMed Central

    Xu, Jing

    2017-01-01

    Purpose To assess the overall quality of published urological meta-analyses and identify predictive factors for high quality. Materials and Methods We systematically searched PubMed to identify meta-analyses published from January 1st, 2011 to December 31st, 2015 in 10 predetermined major paper-based urology journals. The characteristics of the included meta-analyses were collected, and their reporting and methodological qualities were assessed by the PRISMA checklist (27 items) and AMSTAR tool (11 items), respectively. Descriptive statistics were used for individual items as a measure of overall compliance, and PRISMA and AMSTAR scores were calculated as the sum of adequately reported domains. Logistic regression was used to identify predictive factors for high qualities. Results A total of 183 meta-analyses were included. The mean PRISMA and AMSTAR scores were 22.74 ± 2.04 and 7.57 ± 1.41, respectively. PRISMA item 5, protocol and registration, items 15 and 22, risk of bias across studies, items 16 and 23, additional analysis had less than 50% adherence. AMSTAR item 1, “a priori” design, item 5, list of studies and item 10, publication bias had less than 50% adherence. Logistic regression analyses showed that funding support and “a priori” design were associated with superior reporting quality, following PRISMA guideline and “a priori” design were associated with superior methodological quality. Conclusions Reporting and methodological qualities of recently published meta-analyses in major paper-based urology journals are generally good. Further improvement could potentially be achieved by strictly adhering to PRISMA guideline and having “a priori” protocol. PMID:28439452

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

    ERIC Educational Resources Information Center

    Advanced Technology, Inc., Reston, VA.

    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…

  19. Statistical issues in quality control of proteomic analyses: good experimental design and planning.

    PubMed

    Cairns, David A

    2011-03-01

    Quality control is becoming increasingly important in proteomic investigations as experiments become more multivariate and quantitative. Quality control applies to all stages of an investigation and statistics can play a key role. In this review, the role of statistical ideas in the design and planning of an investigation is described. This involves the design of unbiased experiments using key concepts from statistical experimental design, the understanding of the biological and analytical variation in a system using variance components analysis and the determination of a required sample size to perform a statistically powerful investigation. These concepts are described through simple examples and an example data set from a 2-D DIGE pilot experiment. Each of these concepts can prove useful in producing better and more reproducible data. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  20. Carbon nuclear magnetic resonance spectroscopic fingerprinting of commercial gasoline: pattern-recognition analyses for screening quality control purposes.

    PubMed

    Flumignan, Danilo Luiz; Boralle, Nivaldo; Oliveira, José Eduardo de

    2010-06-30

    In this work, the combination of carbon nuclear magnetic resonance ((13)C NMR) fingerprinting with pattern-recognition analyses provides an original and alternative approach to screening commercial gasoline quality. Soft Independent Modelling of Class Analogy (SIMCA) was performed on spectroscopic fingerprints to classify representative commercial gasoline samples, which were selected by Hierarchical Cluster Analyses (HCA) over several months in retails services of gas stations, into previously quality-defined classes. Following optimized (13)C NMR-SIMCA algorithm, sensitivity values were obtained in the training set (99.0%), with leave-one-out cross-validation, and external prediction set (92.0%). Governmental laboratories could employ this method as a rapid screening analysis to discourage adulteration practices. Copyright 2010 Elsevier B.V. All rights reserved.

  1. Analyses and tests of the B-1 aircraft structural mode control system

    NASA Technical Reports Server (NTRS)

    Wykes, J. H.; Byar, T. R.; Macmiller, C. J.; Greek, D. C.

    1980-01-01

    Analyses and flight tests of the B-1 structural mode control system (SMCS) are presented. Improvements in the total dynamic response of a flexible aircraft and the benefits to ride qualities, handling qualities, crew efficiency, and reduced dynamic loads on the primary structures, were investigated. The effectiveness and the performance of the SMCS, which uses small aerodynamic surfaces at the vehicle nose to provide damping to the structural modes, were evaluated.

  2. [Reevaluation of the methodological quality in meta-analyses of accelerated rehabilitation on recovery after surgery for colorectal cancer].

    PubMed

    Ding, S N; Pan, H Y; Zhang, J G

    2017-03-14

    Objective: To evaluate the methodological quality and impacts on outcomes for systematic reviews (SRs) of accelerated rehabilitation versus traditional control for colorectal surgery. Methods: We comprehensively searched six databases and additional websites to collect SRs, or meta-analysis from inception to July 2016. The Overview Quality Assessment Questionnaire (OQAQ) was applied for quality assessment of the included studies, the tools recommended by the Cochrane Collaboration was applied for quality assessment for RCT and CCT and the Newcastle-Ottawa Scale (NOS) was applied to assess observational study. The relative ratios (RRs) and 95% confidence intervals (CIs) were integrated using Review Manager 5.3 software. Results: Fourteen meta-analyses were included in total. The mean OQAQ score was 3.8 with 95% CI 3.2 to 4.3. Only three meta-analyses were assessed as good quality. Two studies misused statistical models. A total of 42 primary studies referenced by meta-analyses were included, of which, 25 RCTs were levelled grade B and 1 CCT was levelled grade C. An estimated mean NOS score of 16 observation studies was 6.75 (totally scored 9 with 95% CI 6.4 to 7.1), of which, 10 studies scored ≥7 were high quality, 6 studies scored 6 were moderate quality. Conclusions: Currently, the overall quality of meta-analyses about comparing the effects and safety between accelerated rehabilitation and traditional control for colorectal surgery is fairly poor and the evidence level is lower. Health providers should apply the evidence with caution in clinical practice.

  3. Quality-assurance data for routine water quality analyses by the U. S. Geological Survey laboratory in Troy, New York; July 1993 through June 1995

    USGS Publications Warehouse

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

    2001-01-01

    A laboratory for analysis of low-ionic strength water has been developed at the U.S. Geological Survey (USGS) office in Troy, N.Y., to analyze samples collected by USGS projects in the Northeast. The laboratory's quality-assurance program is based on internal and interlaboratory quality-assurance samples and quality-control procedures developed to ensure proper sample collection, processing, and analysis. The quality-assurance/quality-control data are stored in the laboratory's SAS data-management system, which provides efficient review, compilation, and plotting of quality-assurance/quality-control data. This report presents and discusses samples analyzed from July 1993 through June 1995. Quality-control results for 18 analytical procedures were evaluated for bias and precision. Control charts show that data from seven of the analytical procedures were biased throughout the analysis period for either high-concentration or low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, dissolved inorganic carbon, dissolved organic carbon (soil expulsions), chloride, magnesium, nitrate (colorimetric method), and pH. Three of the analytical procedures were occasionally biased but were within control limits; they were: calcium (high for high-concentration samples for May 1995), dissolved organic carbon (high for highconcentration samples from January through September 1994), and fluoride (high in samples for April and June 1994). No quality-control sample has been developed for the organic monomeric aluminum procedure. Results from the filter-blank and analytical-blank analyses indicate that all analytical procedures in which blanks were run were within control limits, although values for a few blanks were outside the control limits. Blanks were not analyzed for acid-neutralizing capacity, dissolved inorganic carbon, fluoride, nitrate (colorimetric method), or pH. Sampling and analysis precision are evaluated herein in

  4. Statistical quality control through overall vibration analysis

    NASA Astrophysics Data System (ADS)

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

    2010-05-01

    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

  5. Multifamily Quality Control Inspector Job/Task Analysis and Report: September 2013

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Owens, C. M.

    The development of job/task analyses (JTAs) is one of three components of the Guidelines for Home Energy Professionals project and will allow industry to develop training resources, quality assurance protocols, accredited training programs, and professional certifications. The Multifamily Quality Control Inspector JTA identifies and catalogs all of the tasks performed by multifamily quality control inspectors, as well as the knowledge, skills, and abilities (KSAs) needed to perform the identified tasks.

  6. Quality assessment of Penthorum chinense Pursh through multicomponent qualification and fingerprint, chemometric, and antihepatocarcinoma analyses.

    PubMed

    Sun, Zong-Liang; Zhang, Yu-Zhen; Zhang, Feng; Zhang, Jia-Wei; Zheng, Guo-Can; Tan, Ling; Wang, Chong-Zhi; Zhou, Lian-Di; Zhang, Qi-Hui; Yuan, Chun-Su

    2018-06-22

    An efficient method combined with fingerprint and chemometric analyses was developed to evaluate the quality of the traditional Chinese medicine plant Penthorum chinense Pursh. Nine samples were collected from different regions during different harvest periods, and 17 components in the form of extracts were simultaneously examined to assess quality by using high-performance liquid chromatography. The hepatoprotective effects of components were investigated by assessing the inhibition of SMMC-7721 cell growth. The results indicated that the quality control method was accurate, stable, and reliable, and the hierarchical heat-map cluster and the principle component analyses confirmed that the classification of all nine samples was consistent. Quercetin and ellagitannins including pinocembrin-7-O-[3''-O-galloyl-4'',6''-hexahydroxydiphenoyl]-β-glucose (PGHG), thonningianin A, thonningianin B, and other flavonoids were abundant in the extracts, and significantly contributed to the hepatoprotective effects.

  7. Applications of MIDAS regression in analysing trends in water quality

    NASA Astrophysics Data System (ADS)

    Penev, Spiridon; Leonte, Daniela; Lazarov, Zdravetz; Mann, Rob A.

    2014-04-01

    We discuss novel statistical methods in analysing trends in water quality. Such analysis uses complex data sets of different classes of variables, including water quality, hydrological and meteorological. We analyse the effect of rainfall and flow on trends in water quality utilising a flexible model called Mixed Data Sampling (MIDAS). This model arises because of the mixed frequency in the data collection. Typically, water quality variables are sampled fortnightly, whereas the rain data is sampled daily. The advantage of using MIDAS regression is in the flexible and parsimonious modelling of the influence of the rain and flow on trends in water quality variables. We discuss the model and its implementation on a data set from the Shoalhaven Supply System and Catchments in the state of New South Wales, Australia. Information criteria indicate that MIDAS modelling improves upon simplistic approaches that do not utilise the mixed data sampling nature of the data.

  8. Characteristics and Methodological Quality of Meta-Analyses on Hypertension Treatments-A Cross-Sectional Study.

    PubMed

    Wu, Xin Yin; Du, Xin Jian; Ho, Robin S T; Lee, Clarence C Y; Yip, Benjamin H K; Wong, Martin C S; Wong, Samuel Y S; Chung, Vincent C H

    2017-02-01

    Methodological quality of meta-analyses on hypertension treatments can affect treatment decision-making. The authors conducted a cross-sectional study to investigate the methodological quality of meta-analyses on hypertension treatments. One hundred and fifty-eight meta-analyses were identified. Overall, methodological quality was unsatisfactory in the following aspects: comprehensive reporting of financial support (1.9%), provision of included and excluded lists of studies (22.8%), inclusion of grey literature (27.2%), and inclusion of protocols (32.9%). The 126 non-Cochrane meta-analyses had poor performance on almost all the methodological items. Non-Cochrane meta-analyses focused on nonpharmacologic treatments were more likely to consider scientific quality of included studies when making conclusions. The 32 Cochrane meta-analyses generally had good methodological quality except for comprehensive reporting of the sources of support. These results highlight the need for cautious interpretation of these meta-analyses, especially among physicians and policy makers when guidelines are formulated. Future meta-analyses should pay attention to improving these methodological aspects. ©2016 Wiley Periodicals, Inc.

  9. A system framework of inter-enterprise machining quality control based on fractal theory

    NASA Astrophysics Data System (ADS)

    Zhao, Liping; Qin, Yongtao; Yao, Yiyong; Yan, Peng

    2014-03-01

    In order to meet the quality control requirement of dynamic and complicated product machining processes among enterprises, a system framework of inter-enterprise machining quality control based on fractal was proposed. In this system framework, the fractal-specific characteristic of inter-enterprise machining quality control function was analysed, and the model of inter-enterprise machining quality control was constructed by the nature of fractal structures. Furthermore, the goal-driven strategy of inter-enterprise quality control and the dynamic organisation strategy of inter-enterprise quality improvement were constructed by the characteristic analysis on this model. In addition, the architecture of inter-enterprise machining quality control based on fractal was established by means of Web service. Finally, a case study for application was presented. The result showed that the proposed method was available, and could provide guidance for quality control and support for product reliability in inter-enterprise machining processes.

  10. Capacity and reliability analyses with applications to power quality

    NASA Astrophysics Data System (ADS)

    Azam, Mohammad; Tu, Fang; Shlapak, Yuri; Kirubarajan, Thiagalingam; Pattipati, Krishna R.; Karanam, Rajaiah

    2001-07-01

    The deregulation of energy markets, the ongoing advances in communication networks, the proliferation of intelligent metering and protective power devices, and the standardization of software/hardware interfaces are creating a dramatic shift in the way facilities acquire and utilize information about their power usage. The currently available power management systems gather a vast amount of information in the form of power usage, voltages, currents, and their time-dependent waveforms from a variety of devices (for example, circuit breakers, transformers, energy and power quality meters, protective relays, programmable logic controllers, motor control centers). What is lacking is an information processing and decision support infrastructure to harness this voluminous information into usable operational and management knowledge to handle the health of their equipment and power quality, minimize downtime and outages, and to optimize operations to improve productivity. This paper considers the problem of evaluating the capacity and reliability analyses of power systems with very high availability requirements (e.g., systems providing energy to data centers and communication networks with desired availability of up to 0.9999999). The real-time capacity and margin analysis helps operators to plan for additional loads and to schedule repair/replacement activities. The reliability analysis, based on computationally efficient sum of disjoint products, enables analysts to decide the optimum levels of redundancy, aids operators in prioritizing the maintenance options for a given budget and monitoring the system for capacity margin. The resulting analytical and software tool is demonstrated on a sample data center.

  11. Perceptual and Acoustic Analyses of Good Voice Quality in Male Radio Performers.

    PubMed

    Warhurst, Samantha; Madill, Catherine; McCabe, Patricia; Ternström, Sten; Yiu, Edwin; Heard, Robert

    2017-03-01

    Good voice quality is an asset to professional voice users, including radio performers. We examined whether (1) voices could be reliably categorized as good for the radio and (2) these categories could be predicted using acoustic measures. Male radio performers (n = 24) and age-matched male controls performed "The Rainbow Passage" as if presenting on the radio. Voice samples were rated using a three-stage paired-comparison paradigm by 51 naive listeners and perceptual categories were identified (Study 1), and then analyzed for fundamental frequency, long-term average spectrum, cepstral peak prominence, and pause or spoken-phrase duration (Study 2). Study 1: Good inter-judge reliability was found for perceptual judgments of the best 15 voices (good for radio category, 14/15 = radio performers), but agreement on the remaining 33 voices (unranked category) was poor. Study 2: Discriminant function analyses showed that the SD standard deviation of sounded portion duration, equivalent sound level, and smoothed cepstral peak prominence predicted membership of categories with moderate accuracy (R 2  = 0.328). Radio performers are heterogeneous for voice quality; good voice quality was judged reliably in only 14 out of 24 radio performers. Current acoustic analyses detected some of the relevant signal properties that were salient in these judgments. More refined perceptual analysis and the use of other perceptual methods might provide more information on the complex nature of judging good voices. Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

  12. Double shell tanks (DST) chemistry control data quality objectives

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    BANNING, D.L.

    2001-10-09

    One of the main functions of the River Protection Project is to store the Hanford Site tank waste until the Waste Treatment Plant (WTP) is ready to receive and process the waste. Waste from the older single-shell tanks is being transferred to the newer double-shell tanks (DSTs). Therefore, the integrity of the DSTs must be maintained until the waste from all tanks has been retrieved and transferred to the WTP. To help maintain the integrity of the DSTs over the life of the project, specific chemistry limits have been established to control corrosion of the DSTs. These waste chemistry limitsmore » are presented in the Technical Safety Requirements (TSR) document HNF-SD-WM-TSR-006, Sec. 5 . IS, Rev 2B (CHG 200 I). In order to control the chemistry in the DSTs, the Chemistry Control Program will require analyses of the tank waste. This document describes the Data Quality Objective (DUO) process undertaken to ensure appropriate data will be collected to control the waste chemistry in the DSTs. The DQO process was implemented in accordance with Data Quality Objectives for Sampling and Analyses, HNF-IP-0842, Rev. Ib, Vol. IV, Section 4.16, (Banning 2001) and the U.S. Environmental Protection Agency EPA QA/G4, Guidance for the Data Quality Objectives Process (EPA 1994), with some modifications to accommodate project or tank specific requirements and constraints.« less

  13. Quality Leadership and Quality Control

    PubMed Central

    Badrick, Tony

    2003-01-01

    Different quality control rules detect different analytical errors with varying levels of efficiency depending on the type of error present, its prevalence and the number of observations. The efficiency of a rule can be gauged by inspection of a power function graph. Control rules are only part of a process and not an end in itself; just as important are the trouble-shooting systems employed when a failure occurs. 'Average of patient normals' may develop as a usual adjunct to conventional quality control serum based programmes. Acceptable error can be based on various criteria; biological variation is probably the most sensible. Once determined, acceptable error can be used as limits in quality control rule systems. A key aspect of an organisation is leadership, which links the various components of the quality system. Leadership is difficult to characterise but its key aspects include trust, setting an example, developing staff and critically setting the vision for the organisation. Organisations also have internal characteristics such as the degree of formalisation, centralisation, and complexity. Medical organisations can have internal tensions because of the dichotomy between the bureaucratic and the shadow medical structures. PMID:18568046

  14. Principles and Practices for Quality Assurance and Quality Control

    USGS Publications Warehouse

    Jones, Berwyn E.

    1999-01-01

    Quality assurance and quality control are vital parts of highway runoff water-quality monitoring projects. To be effective, project quality assurance must address all aspects of the project, including project management responsibilities and resources, data quality objectives, sampling and analysis plans, data-collection protocols, data quality-control plans, data-assessment procedures and requirements, and project outputs. Quality control ensures that the data quality objectives are achieved as planned. The historical development and current state of the art of quality assurance and quality control concepts described in this report can be applied to evaluation of data from prior projects.

  15. Test-specific control conditions for functional analyses.

    PubMed

    Fahmie, Tara A; Iwata, Brian A; Querim, Angie C; Harper, Jill M

    2013-01-01

    Most functional analyses of problem behavior include a common condition (play or noncontingent reinforcement) as a control for both positive and negative reinforcement. However, test-specific conditions that control for each potential source of reinforcement may be beneficial occasionally. We compared responding during alone, ignore, play, and differential reinforcement of other behavior (DRO) control conditions for individuals whose problem behavior was maintained by positive or negative reinforcement. Results showed that all of the conditions were effective controls for problem behavior maintained by positive reinforcement; however, the DRO condition was consistently ineffective as a control for problem behavior maintained by negative reinforcement. Implications for the design of functional analyses and future research are discussed. © Society for the Experimental Analysis of Behavior.

  16. Twenty years of meta-analyses in orthopaedic surgery: has quality kept up with quantity?

    PubMed

    Dijkman, Bernadette G; Abouali, Jihad A K; Kooistra, Bauke W; Conter, Henry J; Poolman, Rudolf W; Kulkarni, Abhaya V; Tornetta, Paul; Bhandari, Mohit

    2010-01-01

    As the number of studies in the literature is increasing, orthopaedic surgeons highly depend on meta-analyses as their primary source of scientific evidence. The objectives of this review were to assess the scientific quality and number of published meta-analyses on orthopaedics-related topics over time. We conducted, in duplicate and independently, a systematic review of published meta-analyses in orthopaedics in the years 2005 and 2008 and compared them with a previous systematic review of meta-analyses from 1969 to 1999. A search of electronic databases (MEDLINE, EMBASE, and the Cochrane Database of Systematic Reviews) was performed to identify meta-analyses published in 2005 and 2008. We searched bibliographies and contacted content experts to identify additional relevant studies. Two investigators independently assessed the quality of the studies, using the Oxman and Guyatt index, and abstracted relevant data. We included forty-five and forty-four meta-analyses from 2005 and 2008, respectively. While the number of meta-analyses increased fivefold from 1999 to 2008, the mean quality score did not change significantly over time (p = 0.067). In the later years, a significantly lower proportion of meta-analyses had methodological flaws (56% in 2005 and 68% in 2008) compared with meta-analyses published prior to 2000 (88%) (p = 0.006). In 2005 and 2008, respectively, 18% and 30% of the meta-analyses had major to extensive flaws in their methodology. Studies from 2008 with positive conclusions used and described appropriate criteria for the validity assessment less often than did those with negative results. The use of random-effects and fixed-effects models as pooling methods became more popular toward 2008. Although the methodological quality of orthopaedic meta-analyses has increased in the past twenty years, a substantial proportion continues to show major to extensive flaws. As the number of published meta-analyses is increasing, a routine checklist for

  17. Quality control in public participation assessments of water quality: the OPAL Water Survey.

    PubMed

    Rose, N L; Turner, S D; Goldsmith, B; Gosling, L; Davidson, T A

    2016-07-22

    , regardless of any post hoc data analyses. Quality control at all stages, from survey design, identification tests, data submission and interpretation can all increase confidence such that useful data can be generated by public participants.

  18. [On-site quality control of acupuncture randomized controlled trial: design of content and checklist of quality control based on PICOST].

    PubMed

    Li, Hong-Jiao; He, Li-Yun; Liu, Zhi-Shun; Sun, Ya-Nan; Yan, Shi-Yan; Liu, Jia; Zhao, Ye; Liu, Bao-Yan

    2014-02-01

    To effectively guarantee quality of randomized controlld trial (RCT) of acupuncture and develop reasonable content and checklist of on-site quality control, influencing factors on quality of acupuncture RCT are analyzed and scientificity of quality control content and feasibility of on-site manipulation are put into overall consideration. Based on content and checklist of on-site quality control in National 11th Five-Year Plan Project Optimization of Comprehensive Treatment Plan for TCM in Prevention and Treatment of Serious Disease and Clinical Assessment on Generic Technology and Quality Control Research, it is proposed that on-site quality control of acupuncture RCT should be conducted with PICOST (patient, intervention, comparison, out come, site and time) as core, especially on quality control of interveners' skills and outcome assessment of blinding, and checklist of on-site quality control is developed to provide references for undertaking groups of the project.

  19. Questa Baseline and Pre-Mining Ground-Water-Quality Investigation. 16. Quality Assurance and Quality Control for Water Analyses

    DTIC Science & Technology

    2004-01-01

    Bobita, and Capulin Canyon drainages, and from Questa Ranger Station, and surface-water analyses from Straight Creek and the Red River (fig. 1). The...Straight Creek, Hansen, Hottentot, La Bobita, Capulin Canyon, and Questa Ranger Station, and surface water analyses from Straight Creek and the Red

  20. Groundwater-quality and quality-control data for two monitoring wells near Pavillion, Wyoming, April and May 2012

    USGS Publications Warehouse

    Wright, Peter R.; McMahon, Peter B.; Mueller, David K.; Clark, Melanie L.

    2012-01-01

    In June 2010, the U.S. Environmental Protection Agency installed two deep monitoring wells (MW01 and MW02) near Pavillion, Wyoming, to study groundwater quality. During April and May 2012, the U.S Geological Survey, in cooperation with the Wyoming Department of Environmental Quality, collected groundwater-quality data and quality-control data from monitoring well MW01 and, following well redevelopment, quality-control data for monitoring well MW02. Two groundwater-quality samples were collected from well MW01—one sample was collected after purging about 1.5 borehole volumes, and a second sample was collected after purging 3 borehole volumes. Both samples were collected and processed using methods designed to minimize atmospheric contamination or changes to water chemistry. Groundwater-quality samples were analyzed for field water-quality properties (water temperature, pH, specific conductance, dissolved oxygen, oxidation potential); inorganic constituents including naturally occurring radioactive compounds (radon, radium-226 and radium-228); organic constituents; dissolved gasses; stable isotopes of methane, water, and dissolved inorganic carbon; and environmental tracers (carbon-14, chlorofluorocarbons, sulfur hexafluoride, tritium, helium, neon, argon, krypton, xenon, and the ratio of helium-3 to helium-4). Quality-control sample results associated with well MW01 were evaluated to determine the extent to which environmental sample analytical results were affected by bias and to evaluate the variability inherent to sample collection and laboratory analyses. Field documentation, environmental data, and quality-control data for activities that occurred at the two monitoring wells during April and May 2012 are presented.

  1. A new hyperspectral imaging based device for quality control in plastic recycling

    NASA Astrophysics Data System (ADS)

    Bonifazi, G.; D'Agostini, M.; Dall'Ava, A.; Serranti, S.; Turioni, F.

    2013-05-01

    The quality control of contamination level in the recycled plastics stream has been identified as an important key factor for increasing the value of the recycled material by both plastic recycling and compounder industries. Existing quality control methods for the detection of both plastics and non-plastics contaminants in the plastic waste streams at different stages of the industrial process (e.g. feed, intermediate and final products) are currently based on the manual collection from the stream of a sample and on the subsequent off-line laboratory analyses. The results of such analyses are usually available after some hours, or sometimes even some days, after the material has been processed. The laboratory analyses are time-consuming and expensive (both in terms of equipment cost and their maintenance and of labour cost).Therefore, a fast on-line assessment to monitor the plastic waste feed streams and to characterize the composition of the different plastic products, is fundamental to increase the value of secondary plastics. The paper is finalized to describe and evaluate the development of an HSI-based device and of the related software architectures and processing algorithms for quality assessment of plastics in recycling plants, with particular reference to polyolefins (PO). NIR-HSI sensing devices coupled with multivariate data analysis methods was demonstrated as an objective, rapid and non-destructive technique that can be used for on-line quality and process control in the recycling process of POs. In particular, the adoption of the previous mentioned HD&SW integrated architectures can provide a solution to one of the major problems of the recycling industry, which is the lack of an accurate quality certification of materials obtained by recycling processes. These results could therefore assist in developing strategies to certify the composition of recycled PO products.

  2. [Quality control in anesthesiology].

    PubMed

    Muñoz-Ramón, J M

    1995-03-01

    The process of quality control and auditing of anesthesiology allows us to evaluate care given by a service and solve problems that are detected. Quality control is a basic element of care giving and is only secondarily an area of academic research; it is therefore a meaningless effort if the information does not serve to improve departmental procedures. Quality assurance procedures assume certain infrastructural requirements and an initial period of implementation and adjustment. The main objectives of quality control are the reduction of morbidity and mortality due to anesthesia, assurance of the availability and proper management of resources and, finally, the well-being and safety of the patient.

  3. Commercial jet fuel quality control

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Strauss, K.H.

    1995-05-01

    The paper discusses the purpose of jet fuel quality control between the refinery and the aircraft. It describes fixed equipment, including various types of filters, and the usefulness and limitations of this equipment. Test equipment is reviewed as are various surveillance procedures. These include the Air Transport Association specification ATA 103, the FAA Advisory Circular 150/5230-4, the International Air Transport Association Guidance Material for Fuel Quality Control and Fuelling Service and the Guidelines for Quality Control at Jointly Operated Fuel Systems. Some past and current quality control problems are briefly mentioned.

  4. Quality control process improvement of flexible printed circuit board by FMEA

    NASA Astrophysics Data System (ADS)

    Krasaephol, Siwaporn; Chutima, Parames

    2018-02-01

    This research focuses on the quality control process improvement of Flexible Printed Circuit Board (FPCB), centred around model 7-Flex, by using Failure Mode and Effect Analysis (FMEA) method to decrease proportion of defective finished goods that are found at the final inspection process. Due to a number of defective units that were found at the final inspection process, high scraps may be escaped to customers. The problem comes from poor quality control process which is not efficient enough to filter defective products from in-process because there is no In-Process Quality Control (IPQC) or sampling inspection in the process. Therefore, the quality control process has to be improved by setting inspection gates and IPCQs at critical processes in order to filter the defective products. The critical processes are analysed by the FMEA method. IPQC is used for detecting defective products and reducing chances of defective finished goods escaped to the customers. Reducing proportion of defective finished goods also decreases scrap cost because finished goods incur higher scrap cost than work in-process. Moreover, defective products that are found during process can reflect the abnormal processes; therefore, engineers and operators should timely solve the problems. Improved quality control was implemented for 7-Flex production lines from July 2017 to September 2017. The result shows decreasing of the average proportion of defective finished goods and the average of Customer Manufacturers Lot Reject Rate (%LRR of CMs) equal to 4.5% and 4.1% respectively. Furthermore, cost saving of this quality control process equals to 100K Baht.

  5. 40 CFR 75.21 - Quality assurance and quality control requirements.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 16 2010-07-01 2010-07-01 false Quality assurance and quality control... PROGRAMS (CONTINUED) CONTINUOUS EMISSION MONITORING Operation and Maintenance Requirements § 75.21 Quality assurance and quality control requirements. (a) Continuous emission monitoring systems. The owner or...

  6. Quality control in urinalysis.

    PubMed

    Takubo, T; Tatsumi, N

    1999-01-01

    Quality control (QC) has been introduced in laboratories, and QC surveys in urinalysis have been performed by College of American Pathologist, by Japanese Association of Medical Technologists, by Osaka Medical Association and by manufacturers. QC survey in urinalysis for synthetic urine by the reagent strip and instrument made in same manufacturer, and by an automated urine cell analyser provided satisfactory results among laboratories. QC survey in urinalysis for synthetic urine by the reagent strips and instruments made by various manufacturers indicated differences in the determination values among manufacturers, and between manual and automated methods because the reagent strips and instruments have different characteristics, respectively. QC photo survey in urinalysis on the microscopic photos of urine sediment constituents indicated differences in the identification of cells among laboratories. From the results, it is necessary to standardize a reagent strip method, manual and automated methods, and synthetic urine.

  7. 40 CFR 51.359 - Quality control.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 2 2013-07-01 2013-07-01 false Quality control. 51.359 Section 51.359....359 Quality control. Quality control measures shall insure that emission testing equipment is calibrated and maintained properly, and that inspection, calibration records, and control charts are...

  8. 40 CFR 51.359 - Quality control.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 2 2010-07-01 2010-07-01 false Quality control. 51.359 Section 51.359....359 Quality control. Quality control measures shall insure that emission testing equipment is calibrated and maintained properly, and that inspection, calibration records, and control charts are...

  9. 40 CFR 51.359 - Quality control.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 2 2011-07-01 2011-07-01 false Quality control. 51.359 Section 51.359....359 Quality control. Quality control measures shall insure that emission testing equipment is calibrated and maintained properly, and that inspection, calibration records, and control charts are...

  10. 40 CFR 51.359 - Quality control.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 2 2012-07-01 2012-07-01 false Quality control. 51.359 Section 51.359....359 Quality control. Quality control measures shall insure that emission testing equipment is calibrated and maintained properly, and that inspection, calibration records, and control charts are...

  11. Rhythm vs. rate control of atrial fibrillation meta-analysed by number needed to treat.

    PubMed

    Kumana, Cyrus R; Cheung, Bernard M Y; Cheung, Giselle T Y; Ovedal, Tori; Pederson, Bjorn; Lauder, Ian J

    2005-10-01

    Whenever feasible, rhythm control of atrial fibrillation (AF) was generally preferred over rate control, in the belief that it offered better symptomatic relief and quality of life, and eliminated the need for anticoagulation. However, recent trials appear to challenge these assumptions. To explore the desirability of rhythm vs. rate control of AF by systematic review of pertinent, published, randomized controlled trials (RCTs) and a meta-analysis by number needed to treat (NNT) year(-1), with respect to diverse clinically important outcomes. RCTs of outcome primarily comparing rate vs. rhythm control in patients with spontaneous AF were identified. For each outcome and assuming rhythm control to be the active treatment, relative risk reduction (RRR) and NNT year(-1) were derived for individual trials together with an NNT year(-1) for all trials combined; corresponding 95% confidence intervals (CI) were also calculated. Adverse drug reaction (ADR) and quality of life reporting were also assessed. In all, data from five suitable RCTs (entailing 5239 patients) were analysed. For hospitalization, available RRRs and NNT year(-1) values were all clinically and statistically significant. Overall, one additional patient was hospitalized for every 35 assigned to rhythm control (95% CI 27, 48). For the endpoints of death, 'ischaemic' stroke and 'non-CNS' bleeding, there was no significant difference. ADRs were significantly more common in rhythm control patients, whereas quality of life assessments revealed no difference. Thromboembolism was associated with cessation of or subtherapeutic anticoagulation, irrespective of treatment assignment. Reduced risk of hospitalization and non-inferiority for other endpoints all favour rate control, the less costly strategy. If symptoms of AF are not a problem, treatment should target optimizing rate control and more widespread and effective prophylactic anticoagulation.

  12. Quality assessment of published health economic analyses from South America.

    PubMed

    Machado, Márcio; Iskedjian, Michael; Einarson, Thomas R

    2006-05-01

    Health economic analyses have become important to healthcare systems worldwide. No studies have previously examined South America's contribution in this area. To survey the literature with the purpose of reviewing, quantifying, and assessing the quality of published South American health economic analyses. A search of MEDLINE (1990-December 2004), EMBASE (1990-December 2004), International Pharmaceutical Abstracts (1990-December 2004), Literatura Latino-Americana e do Caribe em Ciências da Saúde (1982-December 2004), and Sistema de Informacion Esencial en Terapéutica y Salud (1980-December 2004) was completed using the key words cost-effectiveness analysis (CEA), cost-utility analysis (CUA), cost-minimization analysis (CMA), and cost-benefit analysis (CBA); abbreviations CEA, CUA, CMA, and CBA; and all South American country names. Papers were categorized by type and country by 2 independent reviewers. Quality was assessed using a 12 item checklist, characterizing scores as 4 (good), 3 (acceptable), 2 (poor), 1 (unable to judge), and 0 (unacceptable). To be included in our investigation, studies needed to have simultaneously examined costs and outcomes. We retrieved 25 articles; one duplicate article was rejected, leaving 24 (CEA = 15, CBA = 6, CMA = 3; Brazil = 9, Argentina = 5, Colombia = 3, Chile = 2, Ecuador = 2, 1 each from Peru, Uruguay, Venezuela). Variability between raters was less than 0.5 point on overall scores (OS) and less than 1 point on all individual items. Mean OS was 2.6 (SD 1.0, range 1.4-3.8). CBAs scored highest (OS 2.8, SD 0.8), CEAs next (OS 2.7, SD 0.7), and CMAs lowest (OS 2.0, SD 0.5). When scored by type of question, definition of study aim scored highest (OS 3.0, SD 0.8), while ethical issues scored lowest (OS 1.5, SD 0.9). By country, Peru scored highest (mean OS 3.8) and Uruguay had the lowest scores (mean OS 2.2). A nonsignificant time trend was noted for OS (R2 = 0.12; p = 0.104). Quality scores of health economic analyses

  13. Quality control in gastrointestinal surgery.

    PubMed

    Ramírez-Barba, Ector Jaime; Arenas-Moya, Diego; Vázquez-Guerrero, Arturo

    2011-01-01

    We analyzed the Mexican legal framework, identifying the vectors that characterize quality and control in gastrointestinal surgery. Quality is contemplated in the health protection rights determined according to the Mexican Constitution, established in the general health law and included as a specific goal in the actual National Development Plan and Health Sector Plan. Quality control implies planning, verification and application of corrective measures. Mexico has implemented several quality strategies such as certification of hospitals and regulatory agreements by the General Salubrity Council, creation of the National Health Quality Committee, generation of Clinical Practice Guidelines and the Certification of Medical Specialties, among others. Quality control in gastrointestinal surgery must begin at the time of medical education and continue during professional activities of surgeons, encouraging multidisciplinary teamwork, knowledge, abilities, attitudes, values and skills that promote homogeneous, safe and quality health services for the Mexican population.

  14. Flight test and analyses of the B-1 structural mode control system at supersonic flight conditions

    NASA Technical Reports Server (NTRS)

    Wykes, J. H.; Kelpl, M. J.; Brosnan, M. J.

    1983-01-01

    A practical structural mode control system (SMCS) that could be turned on at takeoff and be left on for the entire flight was demonstrated. The SMCS appears to be more effective in damping the key fuselage bending modes at supersonic speeds than at the design point of Mach 0.85 (for fixed gains). The SMCS has an adverse effect on high frequency symmetric modes; however, this adverse effect did not make the system unstable and does not appear to affect ride quality performance. The vertical ride quality analyses indicate that the basic configuration without active systems is satisfactory for long term exposure. If clear air turbulence were to be encountered, indications are that the SMCS would be very effective in reducing the adverse accelerations. On the other hand, lateral ride quality analyses indicate that the aircraft with the SMCS on does not quite meet the long term exposure criteria, but would be satisfactory for shot term exposure at altitude. Again, the lateral SMCS was shown to be very effective in reducing peak lateral accelerations.

  15. General aviation fuel quality control

    NASA Technical Reports Server (NTRS)

    Poitz, H.

    1983-01-01

    Quality control measures for aviation gasoline, and some of the differences between quality control on avgas and mogas are discussed. One thing to keep in mind is that with motor gasoline you can always pull off to the side of the road. It's not so easy to do in an airplane. Consequently, there are reasons for having the tight specifications and the tight quality control measures on avgas as compared to motor gasoline.

  16. Network-based production quality control

    NASA Astrophysics Data System (ADS)

    Kwon, Yongjin; Tseng, Bill; Chiou, Richard

    2007-09-01

    This study investigates the feasibility of remote quality control using a host of advanced automation equipment with Internet accessibility. Recent emphasis on product quality and reduction of waste stems from the dynamic, globalized and customer-driven market, which brings opportunities and threats to companies, depending on the response speed and production strategies. The current trends in industry also include a wide spread of distributed manufacturing systems, where design, production, and management facilities are geographically dispersed. This situation mandates not only the accessibility to remotely located production equipment for monitoring and control, but efficient means of responding to changing environment to counter process variations and diverse customer demands. To compete under such an environment, companies are striving to achieve 100%, sensor-based, automated inspection for zero-defect manufacturing. In this study, the Internet-based quality control scheme is referred to as "E-Quality for Manufacturing" or "EQM" for short. By its definition, EQM refers to a holistic approach to design and to embed efficient quality control functions in the context of network integrated manufacturing systems. Such system let designers located far away from the production facility to monitor, control and adjust the quality inspection processes as production design evolves.

  17. 40 CFR 51.359 - Quality control.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 2 2014-07-01 2014-07-01 false Quality control. 51.359 Section 51.359 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS REQUIREMENTS FOR... to assure test accuracy. Computer control of quality assurance checks and quality control charts...

  18. 7 CFR 981.42 - Quality control.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 8 2012-01-01 2012-01-01 false Quality control. 981.42 Section 981.42 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Regulating Handling Quality Control § 981.42 Quality control. (a) Incoming. Except as provided in this...

  19. 7 CFR 981.42 - Quality control.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 8 2013-01-01 2013-01-01 false Quality control. 981.42 Section 981.42 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS... Regulating Handling Quality Control § 981.42 Quality control. (a) Incoming. Except as provided in this...

  20. 7 CFR 981.42 - Quality control.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 8 2011-01-01 2011-01-01 false Quality control. 981.42 Section 981.42 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Regulating Handling Quality Control § 981.42 Quality control. (a) Incoming. Except as provided in this...

  1. 7 CFR 981.42 - Quality control.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 8 2010-01-01 2010-01-01 false Quality control. 981.42 Section 981.42 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Regulating Handling Quality Control § 981.42 Quality control. (a) Incoming. Except as provided in this...

  2. 7 CFR 930.44 - Quality control.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 8 2011-01-01 2011-01-01 false Quality control. 930.44 Section 930.44 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Control § 930.44 Quality control. (a) Quality standards. The Board may establish, with the approval of the...

  3. 7 CFR 930.44 - Quality control.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 8 2010-01-01 2010-01-01 false Quality control. 930.44 Section 930.44 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Control § 930.44 Quality control. (a) Quality standards. The Board may establish, with the approval of the...

  4. 7 CFR 930.44 - Quality control.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 8 2012-01-01 2012-01-01 false Quality control. 930.44 Section 930.44 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Control § 930.44 Quality control. (a) Quality standards. The Board may establish, with the approval of the...

  5. 7 CFR 930.44 - Quality control.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 8 2013-01-01 2013-01-01 false Quality control. 930.44 Section 930.44 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS... Control § 930.44 Quality control. (a) Quality standards. The Board may establish, with the approval of the...

  6. Analyses of Blood Bank Efficiency, Cost-Effectiveness and Quality

    NASA Astrophysics Data System (ADS)

    Lam, Hwai-Tai Chen

    In view of the increasing costs of hospital care, it is essential to investigate methods to improve the labor efficiency and the cost-effectiveness of the hospital technical core in order to control costs while maintaining the quality of care. This study was conducted to develop indices to measure efficiency, cost-effectiveness, and the quality of blood banks; to identify factors associated with efficiency, cost-effectiveness, and quality; and to generate strategies to improve blood bank labor efficiency and cost-effectiveness. Indices developed in this study for labor efficiency and cost-effectiveness were not affected by patient case mix and illness severity. Factors that were associated with labor efficiency were identified as managerial styles, and organizational designs that balance workload and labor resources. Medical directors' managerial involvement was not associated with labor efficiency, but their continuing education and specialty in blood bank were found to reduce the performance of unnecessary tests. Surprisingly, performing unnecessary tests had no association with labor efficiency. This suggested the existence of labor slack in blood banks. Cost -effectiveness was associated with workers' benefits, wages, and the production of high-end transfusion products by hospital-based donor rooms. Quality indices used in this study included autologous transfusion rates, platelet transfusion rates, and the check points available in an error-control system. Because the autologous transfusion rate was related to patient case mix, severity of illness, and possible inappropriate transfusion, it was not recommended to be used for quality index. Platelet-pheresis transfusion rates were associated with the transfusion preferences of the blood bank medical directors. The total number of check points in an error -control system was negatively associated with government ownership and workers' experience. Recommendations for improving labor efficiency and cost

  7. Standardisation of DNA quantitation by image analysis: quality control of instrumentation.

    PubMed

    Puech, M; Giroud, F

    1999-05-01

    DNA image analysis is frequently performed in clinical practice as a prognostic tool and to improve diagnosis. The precision of prognosis and diagnosis depends on the accuracy of analysis and particularly on the quality of image analysis systems. It has been reported that image analysis systems used for DNA quantification differ widely in their characteristics (Thunissen et al.: Cytometry 27: 21-25, 1997). This induces inter-laboratory variations when the same sample is analysed in different laboratories. In microscopic image analysis, the principal instrumentation errors arise from the optical and electronic parts of systems. They bring about problems of instability, non-linearity, and shading and glare phenomena. The aim of this study is to establish tools and standardised quality control procedures for microscopic image analysis systems. Specific reference standard slides have been developed to control instability, non-linearity, shading and glare phenomena and segmentation efficiency. Some systems have been controlled with these tools and these quality control procedures. Interpretation criteria and accuracy limits of these quality control procedures are proposed according to the conclusions of a European project called PRESS project (Prototype Reference Standard Slide). Beyond these limits, tested image analysis systems are not qualified to realise precise DNA analysis. The different procedures presented in this work determine if an image analysis system is qualified to deliver sufficiently precise DNA measurements for cancer case analysis. If the controlled systems are beyond the defined limits, some recommendations are given to find a solution to the problem.

  8. 14 CFR 21.139 - Quality control.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 14 Aeronautics and Space 1 2010-01-01 2010-01-01 false Quality control. 21.139 Section 21.139... PROCEDURES FOR PRODUCTS AND PARTS Production Certificates § 21.139 Quality control. The applicant must show that he has established and can maintain a quality control system for any product, for which he...

  9. 33 CFR 385.21 - Quality control.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 3 2011-07-01 2011-07-01 false Quality control. 385.21 Section... Processes § 385.21 Quality control. (a) The Corps of Engineers and the non-Federal sponsor shall prepare a quality control plan, in accordance with applicable Corps of Engineers regulations, for each product that...

  10. 14 CFR 21.139 - Quality control.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 14 Aeronautics and Space 1 2011-01-01 2011-01-01 false Quality control. 21.139 Section 21.139... PROCEDURES FOR PRODUCTS AND PARTS Production Certificates § 21.139 Quality control. The applicant must show that he has established and can maintain a quality control system for any product, for which he...

  11. 33 CFR 385.21 - Quality control.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 3 2013-07-01 2013-07-01 false Quality control. 385.21 Section... Processes § 385.21 Quality control. (a) The Corps of Engineers and the non-Federal sponsor shall prepare a quality control plan, in accordance with applicable Corps of Engineers regulations, for each product that...

  12. 33 CFR 385.21 - Quality control.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Quality control. 385.21 Section... Processes § 385.21 Quality control. (a) The Corps of Engineers and the non-Federal sponsor shall prepare a quality control plan, in accordance with applicable Corps of Engineers regulations, for each product that...

  13. 40 CFR 136.7 - Quality assurance and quality control.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... quality control elements, where applicable, into the laboratory's documented standard operating procedure... quality control elements must be clearly documented in the written standard operating procedure for each... Methods contains QA/QC procedures in the Part 1000 section of the Standard Methods Compendium. The...

  14. 40 CFR 136.7 - Quality assurance and quality control.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... quality control elements, where applicable, into the laboratory's documented standard operating procedure... quality control elements must be clearly documented in the written standard operating procedure for each... Methods contains QA/QC procedures in the Part 1000 section of the Standard Methods Compendium. The...

  15. 40 CFR 136.7 - Quality assurance and quality control.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... quality control elements, where applicable, into the laboratory's documented standard operating procedure... quality control elements must be clearly documented in the written standard operating procedure for each... Methods contains QA/QC procedures in the Part 1000 section of the Standard Methods Compendium. The...

  16. Liver phantom for quality control and training in nuclear medicine

    NASA Astrophysics Data System (ADS)

    Lima Ferreira, Fernanda Carla; Souza, Divanizia do Nascimento

    2011-10-01

    In nuclear medicine, liver scintigraphy aims to verify organ function based on the radionuclide concentration in the liver and bile flow and is also used to detect tumors. Therefore it is necessary to perform quality control tests in the gamma camera before running the exam to prevent false results. Quality control tests of the gamma camera should thus be performed before running the exam to prevent false results. Such tests generally use radioactive material inside phantoms for evaluation of gamma camera parameters in quality control procedures. Phantoms can also be useful for training doctors and technicians in nuclear medicine procedures. The phantom proposed here has artifacts that simulate nodules; it may take on different quantities, locations and sizes and it may also be mounted without the introduction of nodules. Thus, its images may show hot or cold nodules or no nodules. The phantom consists of acrylic plates hollowed out in the centre, with the geometry of an adult liver. Images for analyses of simulated liver scintigraphy were obtained with the detector device at 5 cm from the anterior surface of the phantom. These simulations showed that this object is suitable for quality control in nuclear medicine because it was possible to visualize artifacts larger than 7.9 mm using a 256×256 matrix and 1000 kcpm. The phantom constructed in this work will also be useful for training practitioners and technicians in order to prevent patients from repeat testing caused by error during examinations.

  17. Using EFSO/PQC to Improve the Quality of Observations and Analyses

    NASA Astrophysics Data System (ADS)

    Chen, T. C.; Kalnay, E.

    2017-12-01

    Massive amounts of observations are assimilated every day into modern Numerical Weather Prediction (NWP) systems. This makes difficult to estimate the impact of a new observing system using the current approach (Observing System Experiments, OSEs) because there is already so much information provided by existing observations. In addition, the large volume of data also prevents monitoring the impact of each assimilated observation with OSEs. We demonstrate here how using Ensemble Forecast Sensitivity to Observations (EFSO) allows monitoring and improving the impact of observations on the analyses and forecasts in the Hybrid GSI/LETKF system. In addition, we show how EFSO can identify flow dependent detrimental observations from observing systems that, on the average, are beneficial. For example, using EFSO we find that positive zonal wind innovations in MODIS polar winds are generally detrimental, whereas no such bias is present in other satellite wind systems. We also show how EFSO can be used to identify and reject very detrimental observations (Proactive Quality Control, PQC). The withdrawal of these detrimental observations leads to improved analyses and 5-day forecasts, which also serves as a verification of EFSO. The operational implementation of PQC/EFSO is computationally very feasible, and will provide detailed QC monitoring of every observing system. Finally, we provide a theoretical justification of the PQC and its connection to dynamical instabilities with a simple Lorenz 96 model.

  18. 75 FR 15348 - Approval and Promulgation of Air Quality Implementation Plans; Texas; Revision To Control...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-29

    .... What Is a SIP? Section 110 of the CAA requires states to develop air pollution regulations and control... air pollution regulations, control strategies, other means or techniques, and technical analyses... provisions of the CAA. A SIP protects air quality primarily by addressing air pollution at its point of...

  19. Association between bibliometric parameters, reporting and methodological quality of randomised controlled trials in vascular and endovascular surgery.

    PubMed

    Hajibandeh, Shahab; Hajibandeh, Shahin; Antoniou, George A; Green, Patrick A; Maden, Michelle; Torella, Francesco

    2017-04-01

    Purpose We aimed to investigate association between bibliometric parameters, reporting and methodological quality of vascular and endovascular surgery randomised controlled trials. Methods The most recent 75 and oldest 75 randomised controlled trials published in leading journals over a 10-year period were identified. The reporting quality was analysed using the CONSORT statement, and methodological quality with the Intercollegiate Guidelines Network checklist. We used exploratory univariate and multivariable linear regression analysis to investigate associations. Findings Bibliometric parameters such as type of journal, study design reported in title, number of pages; external funding, industry sponsoring and number of citations are associated with reporting quality. Moreover, parameters such as type of journal, subject area and study design reported in title are associated with methodological quality. Conclusions The bibliometric parameters of randomised controlled trials may be independent predictors for their reporting and methodological quality. Moreover, the reporting quality of randomised controlled trials is associated with their methodological quality and vice versa.

  20. Quality-assurance data for routine water analyses by the U.S. Geological Survey laboratory in Troy, New York - July 2003 through June 2005

    USGS Publications Warehouse

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

    2009-01-01

    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 2003 through June 2005. Results for the quality-control samples for 20 analytical procedures were evaluated for bias and precision. Control charts indicate that data for five of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, total monomeric aluminum, pH, silicon, and sodium. Seven of the analytical procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits; these procedures were: dissolved organic carbon, chloride, nitrate (ion chromatograph), nitrite, silicon, sodium, and sulfate. The calcium and magnesium procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The total aluminum 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 indicate that the procedures for 17 of 18 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

  1. Methodological Quality of Meta-Analyses: Matched-Pairs Comparison over Time and between Industry-Sponsored and Academic-Sponsored Reports

    ERIC Educational Resources Information Center

    Lane, Peter W.; Higgins, Julian P. T.; Anagnostelis, Betsy; Anzures-Cabrera, Judith; Baker, Nigel F.; Cappelleri, Joseph C.; Haughie, Scott; Hollis, Sally; Lewis, Steff C.; Moneuse, Patrick; Whitehead, Anne

    2013-01-01

    Context: Meta-analyses are regularly used to inform healthcare decisions. Concerns have been expressed about the quality of meta-analyses and, in particular, about those supported by the pharmaceutical industry. Objective: The objective of this study is to compare the quality of pharmaceutical-industry-supported meta-analyses with academic…

  2. Methodological and Reporting Quality of Systematic Reviews and Meta-analyses in Endodontics.

    PubMed

    Nagendrababu, Venkateshbabu; Pulikkotil, Shaju Jacob; Sultan, Omer Sheriff; Jayaraman, Jayakumar; Peters, Ove A

    2018-06-01

    The aim of this systematic review (SR) was to evaluate the quality of SRs and meta-analyses (MAs) in endodontics. A comprehensive literature search was conducted to identify relevant articles in the electronic databases from January 2000 to June 2017. Two reviewers independently assessed the articles for eligibility and data extraction. SRs and MAs on interventional studies with a minimum of 2 therapeutic strategies in endodontics were included in this SR. Methodologic and reporting quality were assessed using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA), respectively. The interobserver reliability was calculated using the Cohen kappa statistic. Statistical analysis with the level of significance at P < .05 was performed using Kruskal-Wallis tests and simple linear regression analysis. A total of 30 articles were selected for the current SR. Using AMSTAR, the item related to the scientific quality of studies used in conclusion was adhered by less than 40% of studies. Using PRISMA, 3 items were reported by less than 40% of studies, which were on objectives, protocol registration, and funding. No association was evident comparing the number of authors and country with quality. Statistical significance was observed when quality was compared among journals, with studies published as Cochrane reviews superior to those published in other journals. AMSTAR and PRISMA scores were significantly related. SRs in endodontics showed variability in both methodologic and reporting quality. Copyright © 2018 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

  3. 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

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

    2009-01-01

    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

  4. Quality-Assurance Data for Routine Water Analyses by the U.S. Geological Survey Laboratory in Troy, New York - July 2001 Through June 2003

    USGS Publications Warehouse

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

    2009-01-01

    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 2001 through June 2003. Results for the quality-control samples for 19 analytical procedures were evaluated for bias and precision. Control charts indicate that data for six of the analytical procedures were occasionally biased for either high-concentration or low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, chloride, magnesium, nitrate (ion chromatography), potassium, and sodium. The calcium procedure was biased throughout the analysis period for the high-concentration sample, but was within control limits. The total monomeric aluminum and fluoride procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The total aluminum, pH, specific conductance, and sulfate 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 indicate that the procedures for 16 of 18 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. The data-quality objective was not met for the dissolved organic carbon or specific conductance procedures. Sampling and analysis precision are evaluated

  5. QUALITY CONTROL OF PHARMACEUTICALS.

    PubMed

    LEVI, L; WALKER, G C; PUGSLEY, L I

    1964-10-10

    Quality control is an essential operation of the pharmaceutical industry. Drugs must be marketed as safe and therapeutically active formulations whose performance is consistent and predictable. New and better medicinal agents are being produced at an accelerated rate. At the same time more exacting and sophisticated analytical methods are being developed for their evaluation. Requirements governing the quality control of pharmaceuticals in accordance with the Canadian Food and Drugs Act are cited and discussed.

  6. Quality-Assurance Data for Routine Water Analyses by the U.S. Geological Survey Laboratory in Troy, New York-July 1997 through June 1999

    USGS Publications Warehouse

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

    2006-01-01

    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/quality-control data for the time period addressed in this report were stored in the laboratory's SAS 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 1997 through June 1999. Results for the quality-control samples for 18 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 and (or) low-concentration samples but were within control limits; these procedures were: acid-neutralizing capacity, total monomeric aluminum, total aluminum, ammonium, calcium, chloride, specific conductance, and sulfate. The data from the potassium and sodium analytical procedures are insufficient for evaluation. Results from the filter-blank and analytical-blank analyses indicate that the procedures for 11 of 13 analytes were within control limits, although the concentrations for blanks were occasionally outside the control limits. Blank analysis results for chloride showed that 22 percent of blanks did not meet data-quality objectives and results for dissolved organic carbon showed that 31 percent of the blanks did not meet data-quality objectives. Sampling and analysis precision are evaluated herein in terms of the coefficient of variation obtained for triplicate samples in the procedures for 14 of the 18 analytes. At least 90 percent of the samples met data-quality

  7. 7 CFR 58.928 - Quality control tests.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 3 2011-01-01 2011-01-01 false Quality control tests. 58.928 Section 58.928... Procedures § 58.928 Quality control tests. All dairy products and other ingredients shall be subject to inspection for quality and condition throughout each processing operation. Quality control tests shall be...

  8. Expert database system for quality control

    NASA Astrophysics Data System (ADS)

    Wang, Anne J.; Li, Zhi-Cheng

    1993-09-01

    There are more competitors today. Markets are not homogeneous they are fragmented into increasingly focused niches requiring greater flexibility in the product mix shorter manufacturing production runs and above allhigher quality. In this paper the author identified a real-time expert system as a way to improve plantwide quality management. The quality control expert database system (QCEDS) by integrating knowledge of experts in operations quality management and computer systems use all information relevant to quality managementfacts as well as rulesto determine if a product meets quality standards. Keywords: expert system quality control data base

  9. 7 CFR 58.335 - Quality control tests.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 3 2011-01-01 2011-01-01 false Quality control tests. 58.335 Section 58.335... Procedures § 58.335 Quality control tests. All milk, cream and related products are subject to inspection for quality and condition throughout each processing operation. Quality control tests shall be made on flow...

  10. Quality-Assurance Data for Routine Water Analyses by the U.S. Geological Survey Laboratory in Troy, New York--July 1999 through June 2001

    USGS Publications Warehouse

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

    2006-01-01

    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 LabMaster 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 1999 through June 2001. Results for the quality-control samples for 18 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: acid-neutralizing capacity, total monomeric aluminum, total aluminum, calcium, chloride and nitrate (ion chromatography and colormetric method) and sulfate. The total aluminum and dissolved organic carbon procedures were biased throughout the analysis period for the high-concentration sample, but were within control limits. The calcium and specific conductance procedures were biased throughout the analysis period for the low-concentration sample, but were within control limits. The magnesium procedure was biased for the high-concentration and low concentration samples, but was within control limits. Results from the filter-blank and analytical-blank analyses indicate that the procedures for 14 of 15 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

  11. Quality Control of Pharmaceuticals

    PubMed Central

    Levi, Leo; Walker, George C.; Pugsley, L. I.

    1964-01-01

    Quality control is an essential operation of the pharmaceutical industry. Drugs must be marketed as safe and therapeutically active formulations whose performance is consistent and predictable. New and better medicinal agents are being produced at an accelerated rate. At the same time more exacting and sophisticated analytical methods are being developed for their evaluation. Requirements governing the quality control of pharmaceuticals in accordance with the Canadian Food and Drugs Act are cited and discussed. PMID:14199105

  12. 30 CFR 28.31 - Quality control plans; contents.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Quality control plans; contents. 28.31 Section... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.31 Quality control plans; contents. (a) Each quality control plan shall contain provisions for the management of quality, including: (1...

  13. [Highly quality-controlled radiation therapy].

    PubMed

    Shirato, Hiroki

    2005-04-01

    Advanced radiation therapy for intracranial disease has focused on set-up accuracy for the past 15 years. However, quality control in the prescribed dose is actually as important as the tumor set-up in radiation therapy. Because of the complexity of the three-dimensional radiation treatment planning system in recent years, the highly quality-controlled prescription of the dose has now been reappraised as the mainstream to improve the treatment outcome of radiation therapy for intracranial disease. The Japanese Committee for Quality Control of Radiation Therapy has developed fundamental requirements such as a QC committee in each hospital, a medical physicist, dosimetrists (QC members), and an external audit.

  14. Control by quality: proposition of a typology.

    PubMed

    Pujo, P; Pillet, M

    The application of Quality tools and methods in industrial management has always had a fundamental impact on the control of production. It influences the behavior of the actors concerned, while introducing the necessary notions and formalizations, especially for production systems with little or no automation, which constitute a large part of the industrial activity. Several quality approaches are applied in the workshop and are implemented at the level of the control. In this paper, the authors present a typology of the various approaches that have successively influenced control, such as statistical process control, quality assurance, and continuous improvement. First the authors present a parallel between production control and quality organizational structure. They note the duality between control, which is aimed at increasing productivity, and quality, which aims to satisfy the needs of the customer. They also note the hierarchical organizational structure of these two systems of management with, at each level, the notion of a feedback loop. This notion is fundamental to any kind of decision making. The paper is organized around the operational, tactical, and strategic levels, by describing for each level the main methods and tools for control by quality. The overview of these tools and methods starts at the operational level, with the Statistical Process Control, the Taguchi technique, and the "six sigma" approach. On the tactical level, we find a quality system approach, with a documented description of the procedures introduced in the firm. The management system can refer here to Quality Assurance, Total Productive Maintenance, or Management by Total Quality. The formalization through procedures of the rules of decision governing the process control enhances the validity of these rules. This leads to the enhancement of their reliability and to their consolidation. All this counterbalances the human, intrinsically fluctuating, behavior of the control

  15. Integrated analyses for genetic markers of polycystic ovary syndrome with 9 case-control studies of gene expression profiles.

    PubMed

    Lu, Chenqi; Liu, Xiaoqin; Wang, Lin; Jiang, Ning; Yu, Jun; Zhao, Xiaobo; Hu, Hairong; Zheng, Saihua; Li, Xuelian; Wang, Guiying

    2017-01-10

    Due to genetic heterogeneity and variable diagnostic criteria, genetic studies of polycystic ovary syndrome are particularly challenging. Furthermore, lack of sufficiently large cohorts limits the identification of susceptibility genes contributing to polycystic ovary syndrome. Here, we carried out a systematic search of studies deposited in the Gene Expression Omnibus database through August 31, 2016. The present analyses included studies with: 1) patients with polycystic ovary syndrome and normal controls, 2) gene expression profiling of messenger RNA, and 3) sufficient data for our analysis. Ultimately, a total of 9 studies with 13 datasets met the inclusion criteria and were performed for the subsequent integrated analyses. Through comprehensive analyses, there were 13 genetic factors overlapped in all datasets and identified as significant specific genes for polycystic ovary syndrome. After quality control assessment, there were six datasets remained. Further gene ontology enrichment and pathway analyses suggested that differentially expressed genes mainly enriched in oocyte pathways. These findings provide potential molecular markers for diagnosis and prognosis of polycystic ovary syndrome, and need in-depth studies on the exact function and mechanism in polycystic ovary syndrome.

  16. 30 CFR 74.6 - Quality control.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 30 Mineral Resources 1 2011-07-01 2011-07-01 false Quality control. 74.6 Section 74.6 Mineral... of the CMDPSU will be maintained in production through adequate quality control procedures, MSHA and... DUST SAMPLING DEVICES Approval Requirements for Coal Mine Dust Personal Sampler Unit § 74.6 Quality...

  17. [Quality control in herbal supplements].

    PubMed

    Oelker, Luisa

    2005-01-01

    Quality and safety of food and herbal supplements are the result of a whole of different elements as good manufacturing practice and process control. The process control must be active and able to individuate and correct all possible hazards. The main and most utilized instrument is the hazard analysis critical control point (HACCP) system the correct application of which can guarantee the safety of the product. Herbal supplements need, in addition to standard quality control, a set of checks to assure the harmlessness and safety of the plants used.

  18. Distributed sensor architecture for intelligent control that supports quality of control and quality of service.

    PubMed

    Poza-Lujan, Jose-Luis; Posadas-Yagüe, Juan-Luis; Simó-Ten, José-Enrique; Simarro, Raúl; Benet, Ginés

    2015-02-25

    This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems.

  19. Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service

    PubMed Central

    Poza-Lujan, Jose-Luis; Posadas-Yagüe, Juan-Luis; Simó-Ten, José-Enrique; Simarro, Raúl; Benet, Ginés

    2015-01-01

    This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems. PMID:25723145

  20. Quality control education in the community college

    NASA Technical Reports Server (NTRS)

    Greene, J. Griffen; Wilson, Steve

    1966-01-01

    This paper describes the Quality Control Program at Daytona Beach Junior College, including course descriptions. The program in quality control required communication between the college and the American Society for Quality Control (ASQC). The college has machinery established for certification of the learning process, and the society has the source of teachers who are competent in the technical field and who are the employers of the educational products. The associate degree for quality control does not have a fixed program, which can serve all needs, any more than all engineering degrees have identical programs. The main ideas which would be common to all quality control programs are the concept of economic control of a repetitive process and the concept of developing individual potentialities into individuals who are needed and productive.

  1. Electron/proton spectrometer certification documentation analyses

    NASA Technical Reports Server (NTRS)

    Gleeson, P.

    1972-01-01

    A compilation of analyses generated during the development of the electron-proton spectrometer for the Skylab program is presented. The data documents the analyses required by the electron-proton spectrometer verification plan. The verification plan was generated to satisfy the ancillary hardware requirements of the Apollo Applications program. The certification of the spectrometer requires that various tests, inspections, and analyses be documented, approved, and accepted by reliability and quality control personnel of the spectrometer development program.

  2. 23 CFR 1340.8 - Quality control.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... OBSERVATIONAL SURVEYS OF SEAT BELT USE Survey Design Requirements § 1340.8 Quality control. (a) Quality control... control monitors involved in seat belt use surveys shall have received training in data collection...) Statistical review. Survey results shall be reviewed and approved by a survey statistician, i.e., a person...

  3. 23 CFR 1340.8 - Quality control.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... OBSERVATIONAL SURVEYS OF SEAT BELT USE Survey Design Requirements § 1340.8 Quality control. (a) Quality control... control monitors involved in seat belt use surveys shall have received training in data collection...) Statistical review. Survey results shall be reviewed and approved by a survey statistician, i.e., a person...

  4. 23 CFR 1340.8 - Quality control.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... OBSERVATIONAL SURVEYS OF SEAT BELT USE Survey Design Requirements § 1340.8 Quality control. (a) Quality control... control monitors involved in seat belt use surveys shall have received training in data collection...) Statistical review. Survey results shall be reviewed and approved by a survey statistician, i.e., a person...

  5. Quality of meta-analyses in major leading gastroenterology and hepatology journals: A systematic review.

    PubMed

    Liu, Pengfei; Qiu, Yuanyu; Qian, Yuting; Chen, Xiao; Wang, Yiran; Cui, Jin; Zhai, Xiao

    2017-01-01

    To appraise the current reporting methodological quality of meta-analyses in five leading gastroenterology and hepatology journals, and to identify the variables associated with the reporting quality. We systematically searched the literature of meta-analyses in Gastroenterology, Gut, Hepatology, Journal of Hepatology (J HEPATOL) and American Journal of Gastroenterology (AM J GASTROENTEROL) from 2006 to 2008 and from 2012 to 2014. Characteristics were extracted based on the PRISMA statement and the AMSTAR tool. Country, number of patients, funding source were also revealed and descriptively reported. A total of 127 meta-analyses were enrolled in this study and were compared among journals, study years, and other characters. Compliances with the PRISMA statement and the AMSTAR checklist were 20.8 ± 4.2 out of a maximum of 27 and 7.6 ± 2.4 out of a maximum of 11, respectively. Some domains were poorly reported including describing a protocol and/or registration (item 5, 0.0%), describing methods, and giving results of additional analyses (item 16, 45.7% and item 23, 48.0%) for PRISMA and duplicating study selection and data extraction (item 2, 53.5%), and providing a list of included and excluded studies (item 5, 14.2%) for AMSTAR. Publication in recent years showed a significantly better methodological quality than those published in previous years. This study shows that methodological reporting quality of MAs in the major gastroenterology and hepatology journals has improved in recent years after the publication of the developed PRISMA statement, and it can be further improved. © 2016 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.

  6. 42 CFR 84.41 - Quality control plans; contents.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 42 Public Health 1 2014-10-01 2014-10-01 false Quality control plans; contents. 84.41 Section 84... AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.41 Quality control plans; contents. (a) Each quality control plan shall contain provisions for the...

  7. 42 CFR 84.41 - Quality control plans; contents.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 42 Public Health 1 2012-10-01 2012-10-01 false Quality control plans; contents. 84.41 Section 84... AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.41 Quality control plans; contents. (a) Each quality control plan shall contain provisions for the...

  8. 42 CFR 84.41 - Quality control plans; contents.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 42 Public Health 1 2013-10-01 2013-10-01 false Quality control plans; contents. 84.41 Section 84... AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.41 Quality control plans; contents. (a) Each quality control plan shall contain provisions for the...

  9. 42 CFR 84.41 - Quality control plans; contents.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 42 Public Health 1 2010-10-01 2010-10-01 false Quality control plans; contents. 84.41 Section 84... AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.41 Quality control plans; contents. (a) Each quality control plan shall contain provisions for the...

  10. 42 CFR 84.41 - Quality control plans; contents.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 42 Public Health 1 2011-10-01 2011-10-01 false Quality control plans; contents. 84.41 Section 84... AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality Control § 84.41 Quality control plans; contents. (a) Each quality control plan shall contain provisions for the...

  11. Instrument Quality Control.

    PubMed

    Jayakody, Chatura; Hull-Ryde, Emily A

    2016-01-01

    Well-defined quality control (QC) processes are used to determine whether a certain procedure or action conforms to a widely accepted standard and/or set of guidelines, and are important components of any laboratory quality assurance program (Popa-Burke et al., J Biomol Screen 14: 1017-1030, 2009). In this chapter, we describe QC procedures useful for monitoring the accuracy and precision of laboratory instrumentation, most notably automated liquid dispensers. Two techniques, gravimetric QC and photometric QC, are highlighted in this chapter. When used together, these simple techniques provide a robust process for evaluating liquid handler accuracy and precision, and critically underpin high-quality research programs.

  12. 14 CFR 145.211 - Quality control system.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 14 Aeronautics and Space 3 2011-01-01 2011-01-01 false Quality control system. 145.211 Section 145...) SCHOOLS AND OTHER CERTIFICATED AGENCIES REPAIR STATIONS Operating Rules § 145.211 Quality control system. (a) A certificated repair station must establish and maintain a quality control system acceptable to...

  13. 18 CFR 12.40 - Quality control programs.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 18 Conservation of Power and Water Resources 1 2011-04-01 2011-04-01 false Quality control... PROJECT WORKS Other Responsibilities of Applicant or Licensee § 12.40 Quality control programs. (a... meeting any requirements or standards set by the Regional Engineer. If a quality control program is...

  14. 18 CFR 12.40 - Quality control programs.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 18 Conservation of Power and Water Resources 1 2010-04-01 2010-04-01 false Quality control... PROJECT WORKS Other Responsibilities of Applicant or Licensee § 12.40 Quality control programs. (a... meeting any requirements or standards set by the Regional Engineer. If a quality control program is...

  15. 14 CFR 145.211 - Quality control system.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 14 Aeronautics and Space 3 2010-01-01 2010-01-01 false Quality control system. 145.211 Section 145...) SCHOOLS AND OTHER CERTIFICATED AGENCIES REPAIR STATIONS Operating Rules § 145.211 Quality control system. (a) A certificated repair station must establish and maintain a quality control system acceptable to...

  16. Periplasmic quality control in biogenesis of outer membrane proteins.

    PubMed

    Lyu, Zhi Xin; Zhao, Xin Sheng

    2015-04-01

    The β-barrel outer membrane proteins (OMPs) are integral membrane proteins that reside in the outer membrane of Gram-negative bacteria and perform a diverse range of biological functions. Synthesized in the cytoplasm, OMPs must be transported across the inner membrane and through the periplasmic space before they are assembled in the outer membrane. In Escherichia coli, Skp, SurA and DegP are the most prominent factors identified to guide OMPs across the periplasm and to play the role of quality control. Although extensive genetic and biochemical analyses have revealed many basic functions of these periplasmic proteins, the mechanism of their collaboration in assisting the folding and insertion of OMPs is much less understood. Recently, biophysical approaches have shed light on the identification of the intricate network. In the present review, we summarize recent advances in the characterization of these key factors, with a special emphasis on the multifunctional protein DegP. In addition, we present our proposed model on the periplasmic quality control in biogenesis of OMPs.

  17. Application of Sigma Metrics and Performance Comparison Between Two Biochemistry Analyser and a Blood Gas Analyser for the Determination of Electrolytes.

    PubMed

    Ustundag-Budak, Yasemin; Huysal, Kagan

    2017-02-01

    Electrolytes have a narrow range of biological variation and small changes are clinically significant. It is important to select the best method for clinical decision making and patient monitoring in the emergency room. The sigma metrics model provides an objective method to evaluate the performance of a method. To calculate sigma metrics for electrolytes measured with one arterial blood gas analyser including two auto-analysers that use different technologies. To identify the best approach for electrolyte monitoring in an emergency setting and the context of routine emergency room workflow. The Coefficient of Variation (CV) was determined from Internal Quality Control (IQC). Data was measured from July 2015 to January 2016 for all three analysers. The records of KBUD external quality data (Association of Clinical Biochemists, Istanbul, Turkey) for both Mindray BS-2000M analyser (Mindray, Shenzhen, China) and Architect C16000 (Abbott Diagnostics, Abbott Park, IL) and MLE clinical laboratory evaluation program (Washington, DC, USA) for Radiometer ABL 700 (Radiometer Trading, Copenhagen, Denmark) during the study period were used to determine the bias. The calculated average sigma values for sodium (-1.1), potassium (3.3), and chloride (0.06) were with the Radiometer ABL700. All calculated sigma values were better than the auto-analysers. The sigma values obtained from all analysers suggest that running more controls and increasing the calibration frequency for electrolytes is necessary for quality assurance.

  18. Quality Control in construction.

    DTIC Science & Technology

    1984-01-01

    behavioral scientists. In 1962, Dr. Kaoru Ishikawa gave shape to the form of training which featured intradepartmental groups of ten or so workers seated...and Japanese circles bears closer scrutiny. 4.3.1 Japanese Ingredients of Quality The founder of quality circles, Dr. Kaoru Ishikawa , gives six...around 51 a table; hence the name Quality Control Circle. 4 Dr. 0 Ishikawa was an engineering professor at Tokyo University, and the circles were

  19. Assimilation of Quality Controlled AIRS Temperature Profiles using the NCEP GFS

    NASA Technical Reports Server (NTRS)

    Susskind, Joel; Reale, Oreste; Iredell, Lena; Rosenberg, Robert

    2013-01-01

    We have previously conducted a number of data assimilation experiments using AIRS Version-5 quality controlled temperature profiles as a step toward finding an optimum balance of spatial coverage and sounding accuracy with regard to improving forecast skill. The data assimilation and forecast system we used was the Goddard Earth Observing System Model , Version-5 (GEOS-5) Data Assimilation System (DAS), which represents a combination of the NASA GEOS-5 forecast model with the National Centers for Environmental Prediction (NCEP) operational Grid Point Statistical Interpolation (GSI) global analysis scheme. All analyses and forecasts were run at a 0.5deg x 0.625deg spatial resolution. Data assimilation experiments were conducted in four different seasons, each in a different year. Three different sets of data assimilation experiments were run during each time period: Control; AIRS T(p); and AIRS Radiance. In the "Control" analysis, all the data used operationally by NCEP was assimilated, but no AIRS data was assimilated. Radiances from the Aqua AMSU-A instrument were also assimilated operationally by NCEP and are included in the "Control". The AIRS Radiance assimilation adds AIRS observed radiance observations for a select set of channels to the data set being assimilated, as done operationally by NCEP. In the AIRS T(p) assimilation, all information used in the Control was assimilated as well as Quality Controlled AIRS Version-5 temperature profiles, i.e., AIRS T(p) information was substituted for AIRS radiance information. The AIRS Version-5 temperature profiles were presented to the GSI analysis as rawinsonde profiles, assimilated down to a case-by-case appropriate pressure level p(sub best) determined using the Quality Control procedure. Version-5 also determines case-by-case, level-by-level error estimates of the temperature profiles, which were used as the uncertainty of each temperature measurement. These experiments using GEOS-5 have shown that forecasts

  20. 30 CFR 74.6 - Quality control.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 30 Mineral Resources 1 2013-07-01 2013-07-01 false Quality control. 74.6 Section 74.6 Mineral... control. The applicant shall describe the way in which each lot of components will be sampled and tested... of the CMDPSU will be maintained in production through adequate quality control procedures, MSHA and...

  1. 30 CFR 74.6 - Quality control.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 30 Mineral Resources 1 2014-07-01 2014-07-01 false Quality control. 74.6 Section 74.6 Mineral... control. The applicant shall describe the way in which each lot of components will be sampled and tested... of the CMDPSU will be maintained in production through adequate quality control procedures, MSHA and...

  2. 30 CFR 74.6 - Quality control.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 30 Mineral Resources 1 2012-07-01 2012-07-01 false Quality control. 74.6 Section 74.6 Mineral... control. The applicant shall describe the way in which each lot of components will be sampled and tested... of the CMDPSU will be maintained in production through adequate quality control procedures, MSHA and...

  3. Quality Assurance and Quality Control, Part 2.

    PubMed

    Akers, Michael J

    2015-01-01

    The tragedy surrounding the New England Compounding Center and contaminated steroid syringe preparations clearly points out what can happen if quality-assurance and quality-control procedures are not strictly practiced in the compounding of sterile preparations. This article is part 2 of a two-part article on requirements to comply with United States Pharmacopeia general chapters <797> and <1163> with respect to quality assurance of compounded sterile preparations. Part 1 covered documentation requirements, inspection procedures, compounding accuracy checks, and part of a discussion on bacterial endotoxin testing. Part 2 covers sterility testing, the completion from part 1 on bacterial endotoxin testing, a brief dicussion of United States Pharmacopeia <1163>, and advances in pharmaceutical quality systems.

  4. Data Assimilation Experiments using Quality Controlled AIRS Version 5 Temperature Soundings

    NASA Technical Reports Server (NTRS)

    Susskind, Joel

    2008-01-01

    The AIRS Science Team Version 5 retrieval algorithm has been finalized and is now operational at the Goddard DAAC in the processing (and reprocessing) of all AlRS data. Version 5 contains accurate case-by-case error estimates for most derived products, which are also used for quality control. We have conducted forecast impact experiments assimilating AlRS quality controlled temperature profiles using the NASA GEOS-5 data assimilation system, consisting of the NCEP GSI analysis coupled with the NASA FVGCM. Assimilation of quality controlled temperature profiles resulted in significantly improved forecast skill in both the Northern Hemisphere and Southern Hemisphere Extra-Tropics, compared to that obtained from analyses obtained when all data used operationally by NCEP except for AlRS data is assimilated. Experiments using different Quality Control thresholds for assimilation of AlRS temperature retrievals showed that a medium quality control threshold performed better than a tighter threshold, which provided better overall sounding accuracy; or a looser threshold, which provided better spatial coverage of accepted soundings. We are conducting more experiments to further optimize this balance of spatial coverage and sounding accuracy from the data assimilation perspective. In all cases, temperature soundings were assimilated well below cloud level in partially cloudy cases. The positive impact of assimilating AlRS derived atmospheric temperatures all but vanished when only AIRS stratospheric temperatures were assimilated. Forecast skill resulting from assimilation of AlRS radiances uncontaminated by clouds, instead of AlRS temperature soundings, was only slightly better than that resulting from assimilation of only stratospheric AlRS temperatures. This reduction in forecast skill is most likely the result of significant loss of tropospheric information when only AIRS radiances unaffected by clouds are used in the data assimilation process.

  5. Guidance for Efficient Small Animal Imaging Quality Control.

    PubMed

    Osborne, Dustin R; Kuntner, Claudia; Berr, Stuart; Stout, David

    2017-08-01

    Routine quality control is a critical aspect of properly maintaining high-performance small animal imaging instrumentation. A robust quality control program helps produce more reliable data both for academic purposes and as proof of system performance for contract imaging work. For preclinical imaging laboratories, the combination of costs and available resources often limits their ability to produce efficient and effective quality control programs. This work presents a series of simplified quality control procedures that are accessible to a wide range of preclinical imaging laboratories. Our intent is to provide minimum guidelines for routine quality control that can assist preclinical imaging specialists in setting up an appropriate quality control program for their facility.

  6. 42 CFR 84.256 - Quality control requirements.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 42 Public Health 1 2013-10-01 2013-10-01 false Quality control requirements. 84.256 Section 84.256... § 84.256 Quality control requirements. (a) In addition to the construction and performance requirements specified in §§ 84.251, 84.252, 84.253, 84.254, and 84.255, the quality control requirements in paragraphs...

  7. 42 CFR 84.256 - Quality control requirements.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 42 Public Health 1 2012-10-01 2012-10-01 false Quality control requirements. 84.256 Section 84.256... § 84.256 Quality control requirements. (a) In addition to the construction and performance requirements specified in §§ 84.251, 84.252, 84.253, 84.254, and 84.255, the quality control requirements in paragraphs...

  8. 42 CFR 84.256 - Quality control requirements.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 42 Public Health 1 2010-10-01 2010-10-01 false Quality control requirements. 84.256 Section 84.256... § 84.256 Quality control requirements. (a) In addition to the construction and performance requirements specified in §§ 84.251, 84.252, 84.253, 84.254, and 84.255, the quality control requirements in paragraphs...

  9. 42 CFR 84.256 - Quality control requirements.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 42 Public Health 1 2011-10-01 2011-10-01 false Quality control requirements. 84.256 Section 84.256... § 84.256 Quality control requirements. (a) In addition to the construction and performance requirements specified in §§ 84.251, 84.252, 84.253, 84.254, and 84.255, the quality control requirements in paragraphs...

  10. 42 CFR 84.256 - Quality control requirements.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 42 Public Health 1 2014-10-01 2014-10-01 false Quality control requirements. 84.256 Section 84.256... § 84.256 Quality control requirements. (a) In addition to the construction and performance requirements specified in §§ 84.251, 84.252, 84.253, 84.254, and 84.255, the quality control requirements in paragraphs...

  11. Quality assurance and quality control for thermal/optical analysis of aerosol samples for organic and elemental carbon.

    PubMed

    Chow, Judith C; Watson, John G; Robles, Jerome; Wang, Xiaoliang; Chen, L-W Antony; Trimble, Dana L; Kohl, Steven D; Tropp, Richard J; Fung, Kochy K

    2011-12-01

    Accurate, precise, and valid organic and elemental carbon (OC and EC, respectively) measurements require more effort than the routine analysis of ambient aerosol and source samples. This paper documents the quality assurance (QA) and quality control (QC) procedures that should be implemented to ensure consistency of OC and EC measurements. Prior to field sampling, the appropriate filter substrate must be selected and tested for sampling effectiveness. Unexposed filters are pre-fired to remove contaminants and acceptance tested. After sampling, filters must be stored in the laboratory in clean, labeled containers under refrigeration (<4 °C) to minimize loss of semi-volatile OC. QA activities include participation in laboratory accreditation programs, external system audits, and interlaboratory comparisons. For thermal/optical carbon analyses, periodic QC tests include calibration of the flame ionization detector with different types of carbon standards, thermogram inspection, replicate analyses, quantification of trace oxygen concentrations (<100 ppmv) in the helium atmosphere, and calibration of the sample temperature sensor. These established QA/QC procedures are applicable to aerosol sampling and analysis for carbon and other chemical components.

  12. Methodologic quality of meta-analyses and systematic reviews on the Mediterranean diet and cardiovascular disease outcomes: a review.

    PubMed

    Huedo-Medina, Tania B; Garcia, Marissa; Bihuniak, Jessica D; Kenny, Anne; Kerstetter, Jane

    2016-03-01

    Several systematic reviews/meta-analyses published within the past 10 y have examined the associations of Mediterranean-style diets (MedSDs) on cardiovascular disease (CVD) risk. However, these reviews have not been evaluated for satisfying contemporary methodologic quality standards. This study evaluated the quality of recent systematic reviews/meta-analyses on MedSD and CVD risk outcomes by using an established methodologic quality scale. The relation between review quality and impact per publication value of the journal in which the article had been published was also evaluated. To assess compliance with current standards, we applied a modified version of the Assessment of Multiple Systematic Reviews (AMSTARMedSD) quality scale to systematic reviews/meta-analyses retrieved from electronic databases that had met our selection criteria: 1) used systematic or meta-analytic procedures to review the literature, 2) examined MedSD trials, and 3) had MedSD interventions independently or combined with other interventions. Reviews completely satisfied from 8% to 75% of the AMSTARMedSD items (mean ± SD: 31.2% ± 19.4%), with those published in higher-impact journals having greater quality scores. At a minimum, 60% of the 24 reviews did not disclose full search details or apply appropriate statistical methods to combine study findings. Only 5 of the reviews included participant or study characteristics in their analyses, and none evaluated MedSD diet characteristics. These data suggest that current meta-analyses/systematic reviews evaluating the effect of MedSD on CVD risk do not fully comply with contemporary methodologic quality standards. As a result, there are more research questions to answer to enhance our understanding of how MedSD affects CVD risk or how these effects may be modified by the participant or MedSD characteristics. To clarify the associations between MedSD and CVD risk, future meta-analyses and systematic reviews should not only follow methodologic

  13. The utilization of six sigma and statistical process control techniques in surgical quality improvement.

    PubMed

    Sedlack, Jeffrey D

    2010-01-01

    Surgeons have been slow to incorporate industrial reliability techniques. Process control methods were applied to surgeon waiting time between cases, and to length of stay (LOS) after colon surgery. Waiting times between surgeries were evaluated by auditing the operating room records of a single hospital over a 1-month period. The medical records of 628 patients undergoing colon surgery over a 5-year period were reviewed. The average surgeon wait time between cases was 53 min, and the busiest surgeon spent 291/2 hr in 1 month waiting between surgeries. Process control charting demonstrated poor overall control of the room turnover process. Average LOS after colon resection also demonstrated very poor control. Mean LOS was 10 days. Weibull's conditional analysis revealed a conditional LOS of 9.83 days. Serious process management problems were identified in both analyses. These process issues are both expensive and adversely affect the quality of service offered by the institution. Process control mechanisms were suggested or implemented to improve these surgical processes. Industrial reliability and quality management tools can easily and effectively identify process control problems that occur on surgical services. © 2010 National Association for Healthcare Quality.

  14. Mutuality Meets the Market: Analysing Changes in the Control of Quality Assurance in United Kingdom Higher Education 1992-2012

    ERIC Educational Resources Information Center

    Brown, Roger

    2013-01-01

    There has been a tendency in the literature to see changes in quality assurance as part of a process of increased state control. This article suggests a more nuanced approach that also takes account of the different trajectories of the pre- and post-1992 sectors. It finds that whilst there have been increases in both state oversight and market…

  15. Doping control analyses in horseracing: a clinician's guide.

    PubMed

    Wong, Jenny K Y; Wan, Terence S M

    2014-04-01

    Doping(1) in sports is highly detrimental, not only to the athletes involved but to the sport itself as well as to the confidence of the spectators and other participants. To protect the integrity of any sport, there must be in place an effective doping control program. In human sports, a 'top-down' and generally unified approach is taken where the rules and regulations against doping for the majority of elite sport events held in any country are governed by the World Anti-Doping Agency (WADA). However, in horseracing, there is no single organisation regulating this form of equestrian sport; instead, the rules and regulations are provided by individual racing authorities and so huge variations exist in the doping control programs currently in force around the world. This review summarises the current status of doping control analyses in horseracing, from sample collection, to the analyses of the samples, and to the need for harmonisation as well as exploring some of the difficulties currently faced by racing authorities, racing chemists and regulatory veterinarians worldwide. Copyright © 2014 Elsevier Ltd. All rights reserved.

  16. 7 CFR 58.928 - Quality control tests.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... quality test shall be made to determine product stability. ... 7 Agriculture 3 2013-01-01 2013-01-01 false Quality control tests. 58.928 Section 58.928... Procedures § 58.928 Quality control tests. All dairy products and other ingredients shall be subject to...

  17. 7 CFR 58.928 - Quality control tests.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... quality test shall be made to determine product stability. ... 7 Agriculture 3 2012-01-01 2012-01-01 false Quality control tests. 58.928 Section 58.928... Procedures § 58.928 Quality control tests. All dairy products and other ingredients shall be subject to...

  18. Assessment of groundwater and soil quality degradation using multivariate and geostatistical analyses, Dakhla Oasis, Egypt

    NASA Astrophysics Data System (ADS)

    Masoud, Alaa A.; El-Horiny, Mohamed M.; Atwia, Mohamed G.; Gemail, Khaled S.; Koike, Katsuaki

    2018-06-01

    Salinization of groundwater and soil resources has long been a serious environmental hazard in arid regions. This study was conducted to investigate and document the factors controlling such salinization and their inter-relationships in the Dakhla Oasis (Egypt). To accomplish this, 60 groundwater samples and 31 soil samples were collected in February 2014. Factor analysis (FA) and hierarchical cluster analysis (HCA) were integrated with geostatistical analyses to characterize the chemical properties of groundwater and soil and their spatial patterns, identify the factors controlling the pattern variability, and clarify the salinization mechanism. Groundwater quality standards revealed emergence of salinization (av. 885.8 mg/L) and extreme occurrences of Fe2+ (av. 17.22 mg/L) and Mn2+ (av. 2.38 mg/L). Soils were highly salt-affected (av. 15.2 dS m-1) and slightly alkaline (av. pH = 7.7). Evaporation and ion-exchange processes governed the evolution of two main water types: Na-Cl (52%) and Ca-Mg-Cl (47%), respectively. Salinization leads the chemical variability of both resources. Distinctive patterns of slight salinization marked the northern part and intense salinization marked the middle and southern parts. Congruence in the resources clusters confirmed common geology, soil types, and urban and agricultural practices. Minimizing the environmental and socioeconomic impacts of the resources salinization urges the need for better understanding of the hydrochemical characteristics and prediction of quality changes.

  19. Proteomics Quality Control: Quality Control Software for MaxQuant Results.

    PubMed

    Bielow, Chris; Mastrobuoni, Guido; Kempa, Stefan

    2016-03-04

    Mass spectrometry-based proteomics coupled to liquid chromatography has matured into an automatized, high-throughput technology, producing data on the scale of multiple gigabytes per instrument per day. Consequently, an automated quality control (QC) and quality analysis (QA) capable of detecting measurement bias, verifying consistency, and avoiding propagation of error is paramount for instrument operators and scientists in charge of downstream analysis. We have developed an R-based QC pipeline called Proteomics Quality Control (PTXQC) for bottom-up LC-MS data generated by the MaxQuant software pipeline. PTXQC creates a QC report containing a comprehensive and powerful set of QC metrics, augmented with automated scoring functions. The automated scores are collated to create an overview heatmap at the beginning of the report, giving valuable guidance also to nonspecialists. Our software supports a wide range of experimental designs, including stable isotope labeling by amino acids in cell culture (SILAC), tandem mass tags (TMT), and label-free data. Furthermore, we introduce new metrics to score MaxQuant's Match-between-runs (MBR) functionality by which peptide identifications can be transferred across Raw files based on accurate retention time and m/z. Last but not least, PTXQC is easy to install and use and represents the first QC software capable of processing MaxQuant result tables. PTXQC is freely available at https://github.com/cbielow/PTXQC .

  20. Quality control in the diagnosis of Trichuris trichiura and Ascaris lumbricoides using the Kato-Katz technique: experience from three randomised controlled trials.

    PubMed

    Speich, Benjamin; Ali, Said M; Ame, Shaali M; Albonico, Marco; Utzinger, Jürg; Keiser, Jennifer

    2015-02-05

    An accurate diagnosis of soil-transmitted helminthiasis is important for individual patient management, for drug efficacy evaluation and for monitoring control programmes. The Kato-Katz technique is the most widely used method detecting soil-transmitted helminth eggs in faecal samples. However, detailed analyses of quality control, including false-positive and faecal egg count (FEC) estimates, have received little attention. Over a 3-year period, within the frame of a series of randomised controlled trials conducted in Pemba, United Republic of Tanzania, 10% of randomly selected Kato-Katz thick smears were re-read for Trichuris trichiura and Ascaris lumbricoides eggs. In case of discordant result (i.e. positive versus negative) the slides were re-examined a third time. A result was assumed to be false-positive or false-negative if the result from the initial reading did not agree with the quality control as well as the third reading. We also evaluated the general agreement in FECs between the first and second reading, according to internal and World Health Organization (WHO) guidelines. From the 1,445 Kato-Katz thick smears subjected to quality control, 1,181 (81.7%) were positive for T. trichiura and 290 (20.1%) were positive for A. lumbricoides. During quality control, very low rates of false-positive results were observed; 0.35% (n = 5) for T. trichiura and 0.28% (n = 4) for A. lumbricoides. False-negative readings of Kato-Katz thick smears were obtained in 28 (1.94%) and 6 (0.42%) instances for T. trichiura and A. lumbricoides, respectively. A high frequency of discordant results in FECs was observed (i.e. 10.0-23.9% for T. trichiura, and 9.0-11.4% for A. lumbricoides). Our analyses show that the rate of false-positive diagnoses of soil-transmitted helminths is low. As the probability of false-positive results increases after examination of multiple stool samples from a single individual, the potential influence of false-positive results on

  1. Methodological quality is underrated in systematic reviews and meta-analyses in health psychology.

    PubMed

    Oliveras, Isabel; Losilla, Josep-Maria; Vives, Jaume

    2017-06-01

    In this paper, we compile and describe the main approaches proposed in the literature to include methodological quality (MQ) or risk of bias (RoB) into research synthesis. We also meta-review how the RoB of observational primary studies is being assessed and to what extent the results are incorporated in the conclusions of research synthesis. Electronic databases were searched for systematic reviews or meta-analyses related to health and clinical psychology. A random sample of 90 reviews published between January 2010 and May 2016 was examined. A total of 46 reviews (51%) performed a formal assessment of the RoB of primary studies. Only 17 reviews (19%) linked the outcomes of quality assessment with the results of the review. According to the previous literature, our results corroborate the lack of guidance to incorporate the RoB assessment in the results of systematic reviews and meta-analyses. Our recommendation is to appraise MQ according to domains of RoB to rate the degree of credibility of the results of a research synthesis, as well as subgroup analysis or meta-regression as analytical methods to incorporate the quality assessment. Copyright © 2017 Elsevier Inc. All rights reserved.

  2. 7 CFR 981.442 - Quality control.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 8 2012-01-01 2012-01-01 false Quality control. 981.442 Section 981.442 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Administrative Rules and Regulations § 981.442 Quality control. (a) Incoming. Pursuant to § 981.42(a), the...

  3. 7 CFR 981.442 - Quality control.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 8 2013-01-01 2013-01-01 false Quality control. 981.442 Section 981.442 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS... Administrative Rules and Regulations § 981.442 Quality control. (a) Incoming. Pursuant to § 981.42(a), the...

  4. 7 CFR 981.442 - Quality control.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 8 2011-01-01 2011-01-01 false Quality control. 981.442 Section 981.442 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Marketing Agreements... Administrative Rules and Regulations § 981.442 Quality control. (a) Incoming. Pursuant to § 981.42(a), the...

  5. Flying Quality Analysis of a JAS 39 Gripen Ministick Controller in an F/A-18 Aircraft

    NASA Technical Reports Server (NTRS)

    Carter, John F.; Stoliker, P. C.

    2000-01-01

    NASA Dryden conducted a handling qualities experiment using a small displacement centerstick controller that Saab-Scania developed for the JAS 39 Gripen aircraft. The centerstick, or ministick, was mounted in the rear cockpit of an F/A-18 aircraft. Production support flight control computers (PSFCC) provided a pilot-selectable research control system. The objectives for this experiment included determining whether the mechanical characteristics of the centerstick controller had any significant effect on the handling qualities of the F/A-18, and determining the usefulness of the PSFCCs for this kind of experiment. Five pilots evaluated closed-loop tracking tasks, including echelon and column formation flight and target following. Cooper-Harper ratings and pilot comments were collected for each maneuver. This paper describes the test system, including the PSFCCs, the Gripen centerstick, and the flight test experiment. The paper presents results of longitudinal handling qualities maneuvers, including low order equivalent systems, Neal-Smith, and controls anticipation parameter analyses. The experiment showed that, while the centerstick controller provided a different aircraft feel, few handling qualities deficiencies resulted. It also demonstrated that the PSFCCs were useful for this kind of investigation.

  6. Quality Control of Laser-Beam-Melted Parts by a Correlation Between Their Mechanical Properties and a Three-Dimensional Surface Analysis

    NASA Astrophysics Data System (ADS)

    Grimm, T.; Wiora, G.; Witt, G.

    2017-03-01

    Good correlations between three-dimensional surface analyses of laser-beam-melted parts of nickel alloy HX and their mechanical properties were found. The surface analyses were performed with a confocal microscope, which offers a more profound surface data basis than a conventional, two-dimensional tactile profilometry. This new approach results in a wide range of three-dimensional surface parameters, which were each evaluated with respect to their feasibility for quality control in additive manufacturing. As a result of an automated surface analysis process by the confocal microscope and an industrial six-axis robot, the results are an innovative approach for quality control in additive manufacturing.

  7. Predictive Techniques for Spacecraft Cabin Air Quality Control

    NASA Technical Reports Server (NTRS)

    Perry, J. L.; Cromes, Scott D. (Technical Monitor)

    2001-01-01

    As assembly of the International Space Station (ISS) proceeds, predictive techniques are used to determine the best approach for handling a variety of cabin air quality challenges. These techniques use equipment offgassing data collected from each ISS module before flight to characterize the trace chemical contaminant load. Combined with crew metabolic loads, these data serve as input to a predictive model for assessing the capability of the onboard atmosphere revitalization systems to handle the overall trace contaminant load as station assembly progresses. The techniques for predicting in-flight air quality are summarized along with results from early ISS mission analyses. Results from groundbased analyses of in-flight air quality samples are compared to the predictions to demonstrate the technique's relative conservatism.

  8. MOnthly TEmperature DAtabase of Spain 1951-2010: MOTEDAS. (1) Quality control

    NASA Astrophysics Data System (ADS)

    Peña-Angulo, Dhais; Cortesi, Nicola; Simolo, Claudia; Stepanek, Peter; Brunetti, Michele; González-Hidalgo, José Carlos

    2014-05-01

    The HIDROCAES project (Impactos Hidrológicos del Calentamiento Global en España, Spanish Ministery of Research CGL2011-27574-C02-01) is focused on the high resolution in the Spanish continental land of the warming processes during the 1951-2010. To do that the Department of Geography (University of Zaragoza, Spain), the Hydrometeorological Service (Brno Division, Chezck Republic) and the ISAC-CNR (Bologna, Italy) are developing the new dataset MOTEDAS (MOnthly TEmperature DAtabase of Spain), from which we present a collection of poster to show (1) the general structure of dataset and quality control; (2) the analyses of spatial correlation of monthly mean values of maximum (Tmax) and minimum (Tmin temperature; (3) the reconstruction processes of series and high resolution grid developing; (4) the first initial results of trend analyses of annual, seasonal and monthly range mean values. MOTEDAS has been created after exhaustive analyses and quality control of the original digitalized data of the Spanish National Meteorological Agency (Agencia Estatal de Meteorología, AEMET). Quality control was applied without any prior reconstruction, i.e. on original series. Then, from the total amount of series stored at AEMet archives (more than 4680) we selected only those series with at least 10 years of data (i.e. 120 months, 3066 series) to apply a quality control and reconstruction processes (see Poster MOTEDAS 3). Length of series was Tmin, upper and lower thresholds of absolute data, etc), and by comparison with reference series (see Poster MOTEDAS 3, about reconstruction). Anomalous data were considered when difference between Candidate and Reference series were higher than three times the interquartile distance. The total amount of monthly suspicious data recognized and discarded at the end of this analyses was 7832 data for Tmin, and 8063 for Tmax data; they represent less than 0,8% of original total monthly data, for both Tmax and Tmin. No spatial pattern was

  9. Contributions of CCLM to advances in quality control.

    PubMed

    Kazmierczak, Steven C

    2013-01-01

    Abstract The discipline of laboratory medicine is relatively young when considered in the context of the history of medicine itself. The history of quality control, within the context of laboratory medicine, also enjoys a relatively brief, but rich history. Laboratory quality control continues to evolve along with advances in automation, measurement techniques and information technology. Clinical Chemistry and Laboratory Medicine (CCLM) has played a key role in helping disseminate information about the proper use and utility of quality control. Publication of important advances in quality control techniques and dissemination of guidelines concerned with laboratory quality control has undoubtedly helped readers of this journal keep up to date on the most recent developments in this field.

  10. Quality-control design for surface-water sampling in the National Water-Quality Network

    USGS Publications Warehouse

    Riskin, Melissa L.; Reutter, David C.; Martin, Jeffrey D.; Mueller, David K.

    2018-04-10

    The data-quality objectives for samples collected at surface-water sites in the National Water-Quality Network include estimating the extent to which contamination, matrix effects, and measurement variability affect interpretation of environmental conditions. Quality-control samples provide insight into how well the samples collected at surface-water sites represent the true environmental conditions. Quality-control samples used in this program include field blanks, replicates, and field matrix spikes. This report describes the design for collection of these quality-control samples and the data management needed to properly identify these samples in the U.S. Geological Survey’s national database.

  11. Advanced strategies for quality control of Chinese medicines.

    PubMed

    Zhao, Jing; Ma, Shuang-Cheng; Li, Shao-Ping

    2018-01-05

    Quality control is always the critical issue for Chinese medicines (CMs) with their worldwide increasing use. Different from western medicine, CMs are usually considered that multiple constituents are responsible for the therapeutic effects. Therefore, quality control of CMs is a challenge. In 2011, the strategies for quantification, related to the markers, reference compounds and approaches, in quality control of CMs were reviewed (Li, et al., J. Pharm. Biomed. Anal., 2011, 55, 802-809). Since then, some new strategies have been proposed in these fields. Therefore, the review on the strategies for quality control of CMs should be updated to improve the safety and efficacy of CMs. Herein, novel strategies related to quality marker discovery, reference compound development and advanced approaches (focused on glyco-analysis) for quality control, during 2011-2016, were summarized and discussed. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. 30 CFR 28.30 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 30 Mineral Resources 1 2011-07-01 2011-07-01 false Quality control plans; filing requirements. 28... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.30 Quality control plans; filing... part, each applicant shall file with MSHA a proposed quality control plan which shall be designed to...

  13. 30 CFR 28.30 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Quality control plans; filing requirements. 28... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.30 Quality control plans; filing... part, each applicant shall file with MSHA a proposed quality control plan which shall be designed to...

  14. 30 CFR 28.30 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.30 Quality control plans; filing... 30 Mineral Resources 1 2013-07-01 2013-07-01 false Quality control plans; filing requirements. 28... part, each applicant shall file with MSHA a proposed quality control plan which shall be designed to...

  15. 30 CFR 28.30 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.30 Quality control plans; filing... 30 Mineral Resources 1 2012-07-01 2012-07-01 false Quality control plans; filing requirements. 28... part, each applicant shall file with MSHA a proposed quality control plan which shall be designed to...

  16. 30 CFR 28.30 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.30 Quality control plans; filing... 30 Mineral Resources 1 2014-07-01 2014-07-01 false Quality control plans; filing requirements. 28... part, each applicant shall file with MSHA a proposed quality control plan which shall be designed to...

  17. 21 CFR 864.8625 - Hematology quality control mixture.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Hematology quality control mixture. 864.8625 Section 864.8625 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES... quality control mixture. (a) Identification. A hematology quality control mixture is a device used to...

  18. SeaWiFS Technical Report Series. Volume 38; SeaWiFS Calibration and Validation Quality Control Procedures

    NASA Technical Reports Server (NTRS)

    Hooker, Stanford B. (Editor); Firestone, Elaine R. (Editor); McClain, Charles R.; Darzi, Michael; Barnes, Robert A.; Eplee, Robert E.; Firestone, James K.; Patt, Frederick S.; Robinson, Wayne D.; Schieber, Brian D.; hide

    1996-01-01

    This document provides five brief reports that address several quality control procedures under the auspices of the Calibration and Validation Element (CVE) within the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Project. Chapter 1 describes analyses of the 32 sensor engineering telemetry streams. Anomalies in any of the values may impact sensor performance in direct or indirect ways. The analyses are primarily examinations of parameter time series combined with statistical methods such as auto- and cross-correlation functions. Chapter 2 describes how the various onboard (solar and lunar) and vicarious (in situ) calibration data will be analyzed to quantify sensor degradation, if present. The analyses also include methods for detecting the influence of charged particles on sensor performance such as might be expected in the South Atlantic Anomaly (SAA). Chapter 3 discusses the quality control of the ancillary environmental data that are routinely received from other agencies or projects which are used in the atmospheric correction algorithm (total ozone, surface wind velocity, and surface pressure; surface relative humidity is also obtained, but is not used in the initial operational algorithm). Chapter 4 explains the procedures for screening level-, level-2, and level-3 products. These quality control operations incorporate both automated and interactive procedures which check for file format errors (all levels), navigation offsets (level-1), mask and flag performance (level-2), and product anomalies (all levels). Finally, Chapter 5 discusses the match-up data set development for comparing SeaWiFS level-2 derived products with in situ observations, as well as the subsequent outlier analyses that will be used for evaluating error sources.

  19. Cellular Strategies of Protein Quality Control

    PubMed Central

    Chen, Bryan; Retzlaff, Marco; Roos, Thomas; Frydman, Judith

    2011-01-01

    Eukaryotic cells must contend with a continuous stream of misfolded proteins that compromise the cellular protein homeostasis balance and jeopardize cell viability. An elaborate network of molecular chaperones and protein degradation factors continually monitor and maintain the integrity of the proteome. Cellular protein quality control relies on three distinct yet interconnected strategies whereby misfolded proteins can either be refolded, degraded, or delivered to distinct quality control compartments that sequester potentially harmful misfolded species. Molecular chaperones play a critical role in determining the fate of misfolded proteins in the cell. Here, we discuss the spatial and temporal organization of cellular quality control strategies and their implications for human diseases linked to protein misfolding and aggregation. PMID:21746797

  20. 21 CFR 211.22 - Responsibilities of quality control unit.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 21 Food and Drugs 4 2011-04-01 2011-04-01 false Responsibilities of quality control unit. 211.22... Personnel § 211.22 Responsibilities of quality control unit. (a) There shall be a quality control unit that... have been fully investigated. The quality control unit shall be responsible for approving or rejecting...

  1. 21 CFR 211.22 - Responsibilities of quality control unit.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 21 Food and Drugs 4 2010-04-01 2010-04-01 false Responsibilities of quality control unit. 211.22... Personnel § 211.22 Responsibilities of quality control unit. (a) There shall be a quality control unit that... have been fully investigated. The quality control unit shall be responsible for approving or rejecting...

  2. 40 CFR 81.112 - Charleston Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.112 Charleston Intrastate Air Quality Control Region. The Charleston Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... Quality Control Region: Region 1. 81.107Greenwood Intrastate Air Quality Control Region: Region 2. 81...

  3. 40 CFR 81.112 - Charleston Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.112 Charleston Intrastate Air Quality Control Region. The Charleston Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... Quality Control Region: Region 1. 81.107Greenwood Intrastate Air Quality Control Region: Region 2. 81...

  4. 7 CFR 275.21 - Quality control review reports.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 4 2011-01-01 2011-01-01 false Quality control review reports. 275.21 Section 275.21... Reporting on Program Performance § 275.21 Quality control review reports. (a) General. Each State agency shall submit reports on the performance of quality control reviews in accordance with the requirements...

  5. 40 CFR 81.88 - Billings Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.88 Billings Intrastate Air Quality Control Region. The Metropolitan Billings Intrastate Air Quality Control Region (Montana) has been renamed the Billings Intrastate Air Quality Control... to by Montana authorities as follows: Sec. 481.168Great Falls Intrastate Air Quality Control Region...

  6. 40 CFR 81.88 - Billings Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.88 Billings Intrastate Air Quality Control Region. The Metropolitan Billings Intrastate Air Quality Control Region (Montana) has been renamed the Billings Intrastate Air Quality Control... to by Montana authorities as follows: Sec. 481.168Great Falls Intrastate Air Quality Control Region...

  7. Interpreting the handling qualities of aircraft with stability and control augmentation

    NASA Technical Reports Server (NTRS)

    Hodgkinson, J.; Potsdam, E. H.; Smith, R. E.

    1990-01-01

    The general process of designing an aircraft for good flying qualities is first discussed. Lessons learned are pointed out, with piloted evaluation emerging as a crucial element. Two sources of rating variability in performing these evaluations are then discussed. First, the finite endpoints of the Cooper-Harper scale do not bias parametric statistical analyses unduly. Second, the wording of the scale does introduce some scatter. Phase lags generated by augmentation systems, as represented by equivalent time delays, often cause poor flying qualities. An analysis is introduced which allows a designer to relate any level of time delay to a probability of loss of aircraft control. This view of time delays should, it is hoped, allow better visibility of the time delays in the design process.

  8. Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS): rationale and design for meta-analyses of individual patient data of randomized controlled trials that evaluate the effect of physical activity and psychosocial interventions on health-related quality of life in cancer survivors

    PubMed Central

    2013-01-01

    Background Effective interventions to improve quality of life of cancer survivors are essential. Numerous randomized controlled trials have evaluated the effects of physical activity or psychosocial interventions on health-related quality of life of cancer survivors, with generally small sample sizes and modest effects. Better targeted interventions may result in larger effects. To realize such targeted interventions, we must determine which interventions that are presently available work for which patients, and what the underlying mechanisms are (that is, the moderators and mediators of physical activity and psychosocial interventions). Individual patient data meta-analysis has been described as the ‘gold standard’ of systematic review methodology. Instead of extracting aggregate data from study reports or from authors, the original research data are sought directly from the investigators. Individual patient data meta-analyses allow for adequate statistical analysis of intervention effects and moderators of such effects. Here, we report the rationale and design of the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) Consortium. The primary aim of POLARIS is 1) to conduct meta-analyses based on individual patient data to evaluate the effect of physical activity and psychosocial interventions on the health-related quality of life of cancer survivors; 2) to identify important demographic, clinical, personal, or intervention-related moderators of the effect; and 3) to build and validate clinical prediction models identifying the most relevant predictors of intervention success. Methods/Design We will invite investigators of randomized controlled trials that evaluate the effects of physical activity and/or psychosocial interventions on health-related quality of life compared with a wait-list, usual care or attention control group among adult cancer survivors to join the POLARIS consortium and share their data for use in pooled analyses that

  9. 7 CFR 58.141 - Alternate quality control program.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 3 2011-01-01 2011-01-01 false Alternate quality control program. 58.141 Section 58... Service 1 Quality Specifications for Raw Milk § 58.141 Alternate quality control program. When a plant has in operation an acceptable quality program, at the producer level, which is approved by the...

  10. 21 CFR 111.105 - What must quality control personnel do?

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 21 Food and Drugs 2 2011-04-01 2011-04-01 false What must quality control personnel do? 111.105... for Quality Control § 111.105 What must quality control personnel do? Quality control personnel must... manufacturing record. To do so, quality control personnel must perform operations that include: (a) Approving or...

  11. Data Assimilation Experiments using Quality Controlled AIRS Version 5 Temperature Soundings

    NASA Technical Reports Server (NTRS)

    SUsskind, Joel

    2008-01-01

    The AIRS Science Team Version 5 retrieval algorithm has been finalized and is now operational at the Goddard DAAC in the processing (and reprocessing) of all AIRS data. The AIRS Science Team Version 5 retrieval algorithm contains two significant improvements over Version 4: 1) Improved physics allows for use of AIRS observations in the entire 4.3 pm C02 absorption band in the retrieval of temperature profile T(p) during both day and night. Tropospheric sounding 15 pm C02 observations are now used primarily in the generation of cloud cleared radiances Ri. This approach allows for the generation of accurate values of Ri and T(p) under most cloud conditions. 2) Another very significant improvement in Version 5 is the ability to generate accurate case-by-case, level-by-level error estimates for the atmospheric temperature profile, as well as for channel-by- channel error estimates for Ri. These error estimates are used for quality control of the retrieved products. We have conducted forecast impact experiments assimilating AIRS temperature profiles with different levels of quality control using the NASA GEOS-5 data assimilation system. Assimilation of quality controlled T(p) resulted in significantly improved forecast skill compared to that obtained from analyses obtained when all data used operationally by NCEP, except for AIRS data, is assimilated. We also conducted an experiment assimilating AIRS radiances uncontaminated by clouds, as done Operationally by ECMWF and NCEP. Forecasts resulting from assimilated AIRS radiances were of poorer quality than those obtained assimilating AIRS temperatures.

  12. Theoretical approach to society-wide environmental quality control

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Ayano, K.

    1982-01-01

    The study outlines the basis for a theory of societal control of environmental quality in the US based on the concepts and philosophy of company-wide quality control which has developed in Japan as a cross-disciplinary approach to problem-solving in the industrial realm. The basic concepts are: 1) every member of society, as a producer of environmental products and services for future generations, in principle has the responsibility to control the quality of his output; 2) environment quality is the quality of life, or the fitness of use of environment for humans; and 3) societal control is any activity necessary formore » quality production of environmental products and services continuously or in the long run. A motivator-hygiene theory of environmental quality is identified, and a proposal is made that the policy provision must be formulated differently between those aimed at hygiene factors of environmental quality and those aimed at motivators, the former in a collectivistic manner, the latter as an individual problem. The concept of societal cost of environmental quality is introduced. Based on the motivator-hygiene theory of environmental quality, the collectivistic and individual approaches are differentiated and discussed.« less

  13. Flow cytometric analyses of CD34+ cells with inclusion of internal positive controls.

    PubMed

    Gutensohn, Kai; Jessen, Maria; Ketels, Andrea; Gramatzki, Martin; Humpe, Andreas

    2012-02-01

    Flow cytometric measurement of CD34+ events is used to ensure the quality of human progenitor cell grafts. This study was conducted to evaluate whether the spiking of routine samples from peripheral blood and apheresis products with CD34+ positive controls is feasible. A total of 42 samples from 32 patients and one healthy donor were stained in duplicate for CD34+ cells. Before flow cytometric analysis, one tube was spiked with stabilized CD34+ cells at a defined concentration. Median numbers of viable CD34+ cells/µL did not differ between unspiked and spiked tubes (median 37, range 0-714; and median 34, range 0-719, respectively). The 95% confidence interval (CI) of the mean showed a broad overlap between these samples (41.9-119.1 and 41.4-119.3, respectively). In addition, the 95% CI of the mean for CD45+ cells/µL overlapped broadly and median numbers did not differ. Median viability of all CD45+ cells was significantly lower in the spiked tubes (96.75, range 64-98.8 vs. 99.25, range 97.5-99.8) with no overlap of the 95% CI of the mean viability. The results of this study show that spiking of routine samples with internal positive controls does not affect CD34+ cell analyses, but does support the reliability of important clinical data. The inclusion of positive controls is expedient for laboratories that perform analyses with low CD34+ numbers and laboratories that use different flow cytometric analyzers and may also become a requirement to meet statutory regulations. © 2012 American Association of Blood Banks.

  14. External quality control for embryology laboratories.

    PubMed

    Castilla, Jose Antonio; Ruiz de Assín, Rafael; Gonzalvo, Maria Carmen; Clavero, Ana; Ramírez, Juan Pablo; Vergara, Francisco; Martínez, Luis

    2010-01-01

    Participation in external quality control (EQC) programmes is recommended by various scientific societies. Results from an EQC programme for embryology laboratories are presented. This 5-year programme consisted of the annual delivery of (i) materials to test toxicity and (ii) a DVD/CD-ROM with images of zygotes and embryos on days 2 and 3, on the basis of which the participants were asked to judge the embryo quality and to take a clinical decision. A high degree of agreement was considered achieved when over 75% of the laboratories produced similar classifications. With respect to the materials analysed, the specificity was 68% and the sensitivity was 83%. Concerning embryo classification, the proportion of embryos on which a high degree of agreement was achieved increased during this period from 35% to 55%. No improvement was observed in the degree of agreement on the clinical decision to be taken. Day-3 embryos produced a higher degree of agreement (58%) than did day-2 embryos (32%) (P<0.05). Participation in EQC increased the degree of inter-laboratory agreement on embryo classification, but not the corresponding agreement on clinical decision taking. It is necessary to introduce measures aimed at standardizing decision taking procedures in embryology laboratories. Copyright (c) 2009 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

  15. Development of the Quality Assurance/Quality Control Procedures for a Neutron Interrogation System

    NASA Astrophysics Data System (ADS)

    Obhođaš, Jasmina; Sudac, Davorin; Valković, Vladivoj

    2016-06-01

    In order to perform Quality Assurance/Quality Control (QA/QC) procedures for a system dedicated to the neutron interrogation of objects for the presence of threat materials one needs to perform measurements of reference materials (RM) i.e. simulants having the same (or similar) atomic ratios as real materials. It is well known that explosives, drugs, and various other benign materials, contain chemical elements such as hydrogen, oxygen, carbon and nitrogen in distinctly different quantities. For example, a high carbon-to-oxygen ratio (C/O) is characteristic of drugs. Explosives can be differentiated by measurement of both (C/O) and nitrogen-to-oxygen (N/O) ratios. The C/N ratio of the chemical warfare agents, coupled with the measurement of elements such as fluorine and phosphorus, clearly differentiate them from the conventional explosives. Here we present the RM preparation, calibration procedure and correlations attained between theoretical values and experimentally obtained results in laboratory conditions for C/O and N/C ratios of prepared hexogen (RDX), TNT, DLM2, TATP, cocaine, heroin, yperite, tetranitromethane, peroxide methylethylketone, nitromethane and ethyleneglycol dinitrate simulants. We have shown that analyses of the gamma ray spectra by using simple unfolding model developed for this purpose gave a nice agreement with the chemical formula of created simulants, thus the calibration quality was successfully tested.

  16. Quality Control in Higher Education.

    ERIC Educational Resources Information Center

    Hogarth, Charles P.

    The status of quality control in U.S. higher education is discussed with an overview of the functions and structure of public and private colleges and universities. The book is divided into seven chapters: (1) outside controls (accrediting groups, governmental groups and other groups); (2) structure (board of control, president, organization); (3)…

  17. Quality Control Technician.

    ERIC Educational Resources Information Center

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

    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…

  18. 40 CFR 81.77 - Puerto Rico Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Puerto Rico Air Quality Control Region... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.77 Puerto Rico Air Quality Control Region. The Puerto Rico Air Quality Control Region...

  19. 40 CFR 81.77 - Puerto Rico Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Puerto Rico Air Quality Control Region... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.77 Puerto Rico Air Quality Control Region. The Puerto Rico Air Quality Control Region...

  20. 40 CFR 81.77 - Puerto Rico Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false Puerto Rico Air Quality Control Region... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.77 Puerto Rico Air Quality Control Region. The Puerto Rico Air Quality Control Region...

  1. 40 CFR 81.77 - Puerto Rico Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Puerto Rico Air Quality Control Region... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.77 Puerto Rico Air Quality Control Region. The Puerto Rico Air Quality Control Region...

  2. 21 CFR 111.105 - What must quality control personnel do?

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 21 Food and Drugs 2 2010-04-01 2010-04-01 false What must quality control personnel do? 111.105..., LABELING, OR HOLDING OPERATIONS FOR DIETARY SUPPLEMENTS Production and Process Control System: Requirements for Quality Control § 111.105 What must quality control personnel do? Quality control personnel must...

  3. A Total Quality-Control Plan with Right-Sized Statistical Quality-Control.

    PubMed

    Westgard, James O

    2017-03-01

    A new Clinical Laboratory Improvement Amendments option for risk-based quality-control (QC) plans became effective in January, 2016. Called an Individualized QC Plan, this option requires the laboratory to perform a risk assessment, develop a QC plan, and implement a QC program to monitor ongoing performance of the QC plan. Difficulties in performing a risk assessment may limit validity of an Individualized QC Plan. A better alternative is to develop a Total QC Plan including a right-sized statistical QC procedure to detect medically important errors. Westgard Sigma Rules provides a simple way to select the right control rules and the right number of control measurements. Copyright © 2016 Elsevier Inc. All rights reserved.

  4. Dynamic Analyses of Result Quality in Energy-Aware Approximate Programs

    NASA Astrophysics Data System (ADS)

    RIngenburg, Michael F.

    controlling output quality while still maintaining significant energy efficiency gains.

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

    USGS Publications Warehouse

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

    1998-01-01

    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

  6. 18 CFR 12.40 - Quality control programs.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... PROJECT WORKS Other Responsibilities of Applicant or Licensee § 12.40 Quality control programs. (a) General rule. During any construction, repair, or modification of project works, including any corrective... 18 Conservation of Power and Water Resources 1 2014-04-01 2014-04-01 false Quality control...

  7. 18 CFR 12.40 - Quality control programs.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... PROJECT WORKS Other Responsibilities of Applicant or Licensee § 12.40 Quality control programs. (a) General rule. During any construction, repair, or modification of project works, including any corrective... 18 Conservation of Power and Water Resources 1 2013-04-01 2013-04-01 false Quality control...

  8. 18 CFR 12.40 - Quality control programs.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... PROJECT WORKS Other Responsibilities of Applicant or Licensee § 12.40 Quality control programs. (a) General rule. During any construction, repair, or modification of project works, including any corrective... 18 Conservation of Power and Water Resources 1 2012-04-01 2012-04-01 false Quality control...

  9. 46 CFR 164.019-13 - Production quality control requirements.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 46 Shipping 6 2011-10-01 2011-10-01 false Production quality control requirements. 164.019-13....019-13 Production quality control requirements. (a) General. Each component manufacturer shall establish procedures for maintaining quality control of the materials used in production, manufacturing...

  10. 46 CFR 164.019-13 - Production quality control requirements.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 46 Shipping 6 2012-10-01 2012-10-01 false Production quality control requirements. 164.019-13....019-13 Production quality control requirements. (a) General. Each component manufacturer shall establish procedures for maintaining quality control of the materials used in production, manufacturing...

  11. 46 CFR 164.019-13 - Production quality control requirements.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 46 Shipping 6 2010-10-01 2010-10-01 false Production quality control requirements. 164.019-13....019-13 Production quality control requirements. (a) General. Each component manufacturer shall establish procedures for maintaining quality control of the materials used in production, manufacturing...

  12. 46 CFR 164.019-13 - Production quality control requirements.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 46 Shipping 6 2014-10-01 2014-10-01 false Production quality control requirements. 164.019-13....019-13 Production quality control requirements. (a) General. Each component manufacturer shall establish procedures for maintaining quality control of the materials used in production, manufacturing...

  13. 46 CFR 164.019-13 - Production quality control requirements.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 46 Shipping 6 2013-10-01 2013-10-01 false Production quality control requirements. 164.019-13....019-13 Production quality control requirements. (a) General. Each component manufacturer shall establish procedures for maintaining quality control of the materials used in production, manufacturing...

  14. Functional specialization in regulation and quality control in thermal adaptive evolution.

    PubMed

    Yama, Kazuma; Matsumoto, Yuki; Murakami, Yoshie; Seno, Shigeto; Matsuda, Hideo; Gotoh, Kazuyoshi; Motooka, Daisuke; Nakamura, Shota; Ying, Bei-Wen; Yomo, Tetsuya

    2015-11-01

    Distinctive survival strategies, specialized in regulation and in quality control, were observed in thermal adaptive evolution with a laboratory Escherichia coli strain. The two specialists carried a single mutation either within rpoH or upstream of groESL, which led to the activated global regulation by sigma factor 32 or an increased amount of GroEL/ES chaperonins, respectively. Although both specialists succeeded in thermal adaptation, the common winner of the evolution was the specialist in quality control, that is, the strategy of chaperonin-mediated protein folding. To understand this evolutionary consequence, multilevel analyses of cellular status, for example, transcriptome, protein and growth fitness, were carried out. The specialist in quality control showed less change in transcriptional reorganization responding to temperature increase, which was consistent with the finding of that the two specialists showed the biased expression of molecular chaperones. Such repressed changes in gene expression seemed to be advantageous for long-term sustainability because a specific increase in chaperonins not only facilitated the folding of essential gene products but also saved cost in gene expression compared with the overall transcriptional increase induced by rpoH regulation. Functional specialization offered two strategies for successful thermal adaptation, whereas the evolutionary advantageous was more at the points of cost-saving in gene expression and the essentiality in protein folding. © 2015 The Authors. Genes to Cells published by Molecular Biology Society of Japan and Wiley Publishing Asia Pty Ltd.

  15. PACS quality control and automatic problem notifier

    NASA Astrophysics Data System (ADS)

    Honeyman-Buck, Janice C.; Jones, Douglas; Frost, Meryll M.; Staab, Edward V.

    1997-05-01

    One side effect of installing a clinical PACS Is that users become dependent upon the technology and in some cases it can be very difficult to revert back to a film based system if components fail. The nature of system failures range from slow deterioration of function as seen in the loss of monitor luminance through sudden catastrophic loss of the entire PACS networks. This paper describes the quality control procedures in place at the University of Florida and the automatic notification system that alerts PACS personnel when a failure has happened or is anticipated. The goal is to recover from a failure with a minimum of downtime and no data loss. Routine quality control is practiced on all aspects of PACS, from acquisition, through network routing, through display, and including archiving. Whenever possible, the system components perform self and between platform checks for active processes, file system status, errors in log files, and system uptime. When an error is detected or a exception occurs, an automatic page is sent to a pager with a diagnostic code. Documentation on each code, trouble shooting procedures, and repairs are kept on an intranet server accessible only to people involved in maintaining the PACS. In addition to the automatic paging system for error conditions, acquisition is assured by an automatic fax report sent on a daily basis to all technologists acquiring PACS images to be used as a cross check that all studies are archived prior to being removed from the acquisition systems. Daily quality control is preformed to assure that studies can be moved from each acquisition and contrast adjustment. The results of selected quality control reports will be presented. The intranet documentation server will be described with the automatic pager system. Monitor quality control reports will be described and the cost of quality control will be quantified. As PACS is accepted as a clinical tool, the same standards of quality control must be established

  16. Quality by control: Towards model predictive control of mammalian cell culture bioprocesses.

    PubMed

    Sommeregger, Wolfgang; Sissolak, Bernhard; Kandra, Kulwant; von Stosch, Moritz; Mayer, Martin; Striedner, Gerald

    2017-07-01

    The industrial production of complex biopharmaceuticals using recombinant mammalian cell lines is still mainly built on a quality by testing approach, which is represented by fixed process conditions and extensive testing of the end-product. In 2004 the FDA launched the process analytical technology initiative, aiming to guide the industry towards advanced process monitoring and better understanding of how critical process parameters affect the critical quality attributes. Implementation of process analytical technology into the bio-production process enables moving from the quality by testing to a more flexible quality by design approach. The application of advanced sensor systems in combination with mathematical modelling techniques offers enhanced process understanding, allows on-line prediction of critical quality attributes and subsequently real-time product quality control. In this review opportunities and unsolved issues on the road to a successful quality by design and dynamic control implementation are discussed. A major focus is directed on the preconditions for the application of model predictive control for mammalian cell culture bioprocesses. Design of experiments providing information about the process dynamics upon parameter change, dynamic process models, on-line process state predictions and powerful software environments seem to be a prerequisite for quality by control realization. © 2017 The Authors. Biotechnology Journal published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  17. Analytical approaches to quality assurance and quality control in rangeland monitoring data

    USDA-ARS?s Scientific Manuscript database

    Producing quality data to support land management decisions is the goal of every rangeland monitoring program. However, the results of quality assurance (QA) and quality control (QC) efforts to improve data quality are rarely reported. The purpose of QA and QC is to prevent and describe non-sampling...

  18. Professional Development for Water Quality Control Personnel.

    ERIC Educational Resources Information Center

    Shepard, Clinton Lewis

    This study investigated the availability of professional development opportunities for water quality control personnel in the midwest. The major objective of the study was to establish a listing of educational opportunities for the professional development of water quality control personnel and to compare these with the opportunities technicians…

  19. QC-ART: A tool for real-time quality control assessment of mass spectrometry-based proteomics data.

    PubMed

    Stanfill, Bryan A; Nakayasu, Ernesto S; Bramer, Lisa M; Thompson, Allison M; Ansong, Charles K; Clauss, Therese; Gritsenko, Marina A; Monroe, Matthew E; Moore, Ronald J; Orton, Daniel J; Piehowski, Paul D; Schepmoes, Athena A; Smith, Richard D; Webb-Robertson, Bobbie-Jo; Metz, Thomas O

    2018-04-17

    Liquid chromatography-mass spectrometry (LC-MS)-based proteomics studies of large sample cohorts can easily require from months to years to complete. Acquiring consistent, high-quality data in such large-scale studies is challenging because of normal variations in instrumentation performance over time, as well as artifacts introduced by the samples themselves, such as those due to collection, storage and processing. Existing quality control methods for proteomics data primarily focus on post-hoc analysis to remove low-quality data that would degrade downstream statistics; they are not designed to evaluate the data in near real-time, which would allow for interventions as soon as deviations in data quality are detected.  In addition to flagging analyses that demonstrate outlier behavior, evaluating how the data structure changes over time can aide in understanding typical instrument performance or identify issues such as a degradation in data quality due to the need for instrument cleaning and/or re-calibration.  To address this gap for proteomics, we developed Quality Control Analysis in Real-Time (QC-ART), a tool for evaluating data as they are acquired in order to dynamically flag potential issues with instrument performance or sample quality.  QC-ART has similar accuracy as standard post-hoc analysis methods with the additional benefit of real-time analysis.  We demonstrate the utility and performance of QC-ART in identifying deviations in data quality due to both instrument and sample issues in near real-time for LC-MS-based plasma proteomics analyses of a sample subset of The Environmental Determinants of Diabetes in the Young cohort. We also present a case where QC-ART facilitated the identification of oxidative modifications, which are often underappreciated in proteomic experiments. Published under license by The American Society for Biochemistry and Molecular Biology, Inc.

  20. Ride quality sensitivity to SAS control law and to handling quality variations

    NASA Technical Reports Server (NTRS)

    Roberts, P. A.; Schmidt, D. K.; Swaim, R. L.

    1976-01-01

    The RQ trends which large flexible aircraft exhibit under various parameterizations of control laws and handling qualities are discussed. A summary of the assumptions and solution technique, a control law parameterization review, a discussion of ride sensitivity to handling qualities, and the RQ effects generated by implementing relaxed static stability configurations are included.

  1. 14 CFR 21.147 - Changes in quality control system.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 14 Aeronautics and Space 1 2011-01-01 2011-01-01 false Changes in quality control system. 21.147 Section 21.147 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION... quality control system. After the issue of a production certificate, each change to the quality control...

  2. 14 CFR 21.147 - Changes in quality control system.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 14 Aeronautics and Space 1 2010-01-01 2010-01-01 false Changes in quality control system. 21.147 Section 21.147 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION... quality control system. After the issue of a production certificate, each change to the quality control...

  3. 21 CFR 111.117 - What quality control operations are required for equipment, instruments, and controls?

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 21 Food and Drugs 2 2010-04-01 2010-04-01 false What quality control operations are required for equipment, instruments, and controls? 111.117 Section 111.117 Food and Drugs FOOD AND DRUG ADMINISTRATION... and Process Control System: Requirements for Quality Control § 111.117 What quality control operations...

  4. Interim results of quality-control sampling of surface water for the Upper Colorado River National Water-Quality Assessment Study Unit, water years 1995-96

    USGS Publications Warehouse

    Spahr, N.E.; Boulger, R.W.

    1997-01-01

    Quality-control samples provide part of the information needed to estimate the bias and variability that result from sample collection, processing, and analysis. Quality-control samples of surface water collected for the Upper Colorado River National Water-Quality Assessment study unit for water years 1995?96 are presented and analyzed in this report. The types of quality-control samples collected include pre-processing split replicates, concurrent replicates, sequential replicates, post-processing split replicates, and field blanks. Analysis of the pre-processing split replicates, concurrent replicates, sequential replicates, and post-processing split replicates is based on differences between analytical results of the environmental samples and analytical results of the quality-control samples. Results of these comparisons indicate that variability introduced by sample collection, processing, and handling is low and will not affect interpretation of the environmental data. The differences for most water-quality constituents is on the order of plus or minus 1 or 2 lowest rounding units. A lowest rounding unit is equivalent to the magnitude of the least significant figure reported for analytical results. The use of lowest rounding units avoids some of the difficulty in comparing differences between pairs of samples when concentrations span orders of magnitude and provides a measure of the practical significance of the effect of variability. Analysis of field-blank quality-control samples indicates that with the exception of chloride and silica, no systematic contamination of samples is apparent. Chloride contamination probably was the result of incomplete rinsing of the dilute cleaning solution from the outlet ports of the decaport sample splitter. Silica contamination seems to have been introduced by the blank water. Sampling and processing procedures for water year 1997 have been modified as a result of these analyses.

  5. Colorado Air Quality Control Regulations and Ambient Air Quality Standards.

    ERIC Educational Resources Information Center

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

    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)…

  6. Methological quality of systematic reviews and meta-analyses on acupuncture for stroke: A review of review.

    PubMed

    Chen, Xin-Lin; Mo, Chuan-Wei; Lu, Li-Ya; Gao, Ri-Yang; Xu, Qian; Wu, Min-Feng; Zhou, Qian-Yi; Hu, Yue; Zhou, Xuan; Li, Xian-Tao

    2017-11-01

    To assess the methodological quality of systematic reviews and meta-analyses regarding acupuncture intervention for stroke and the primary studies within them. Two researchers searched PubMed, Cumulative index to Nursing and Allied Health Literature, Embase, ISI Web of Knowledge, Cochrane, Allied and Complementary Medicine, Ovid Medline, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, Wanfang and Traditional Chinese Medical Database to identify systematic reviews and meta-analyses about acupuncture for stroke published from the inception to December 2016. Review characteristics and the criteria for assessing the primary studies within reviews were extracted. The methodological quality of the reviews was assessed using adapted Oxman and Guyatt Scale. The methodological quality of primary studies was also assessed. Thirty-two eligible reviews were identified, 15 in English and 17 in Chinese. The English reviews were scored higher than the Chinese reviews (P=0.025), especially in criteria for avoiding bias and the scope of search. All reviews used the quality criteria to evaluate the methodological quality of primary studies, but some criteria were not comprehensive. The primary studies, in particular the Chinese reviews, had problems with randomization, allocation concealment, blinding, dropouts and withdrawals, intent-to-treat analysis and adverse events. Important methodological flaws were found in Chinese systematic reviews and primary studies. It was necessary to improve the methodological quality and reporting quality of both the systematic reviews published in China and primary studies on acupuncture for stroke.

  7. [Aquaculture in Italy. An integrated model of product quality control].

    PubMed

    De Giusti, Maria; Cocchieri, Renata Amodio; De Vito, Elisabetta; Grasso, Guido Maria; Ortaggi, Giancarlo; Reali, Daniela; Ricciardi, Gualtiero; Romano-Spica, Vincenzo; Boccia, Antonio

    2007-01-01

    Aquaculture is becoming increasingly diffuse even in Italy. The increased production introduces new problems such as product quality control and process safety. This article presents the results of a research project, funded by the Ministry of the Environment, whose aim was to evaluate and promote aquaculture product quality and safety in an environmentally responsible way. Four intensive land-based and offshore aquaculture sites were monitored to evaluate microbiological, biological and chemical (i.e. polychlorinated biphenyls and endocrine disruptors) quality of water, products and fish feed. In total 154 samples were analysed, of which 66 were water samples, 55 product samples and 33 feed samples. Salmonella and other enteric pathogens were absent in products and the aquatic environment, while other environmental pathogens of the Vibrio species were detected. Bacterial load and fecal indicators were found to be higher in off-shore products and in mussels from all aquaculture sites. PCBs were detected in all products in concentrations below 2 microg/g fresh product (Food and Drug Administration), but on average, higher concentrations were detected in off-shore products. No estrogen mimetic activity was detected in fish feed, in contrast it was detected in offshore products and water. Product quality was found to be strictly correlated with the quality of the environment. Genetically modified organisms were detected in fish feed but no integration of genetic material in products occurred.

  8. 46 CFR 164.120-11 - Production quality control requirements.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 46 Shipping 6 2014-10-01 2014-10-01 false Production quality control requirements. 164.120-11... Rescue Boats § 164.120-11 Production quality control requirements. The resin manufacturer must institute a quality control procedure to ensure that all Coast Guard-accepted resin is produced to the same...

  9. 46 CFR 164.120-11 - Production quality control requirements.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 46 Shipping 6 2012-10-01 2012-10-01 false Production quality control requirements. 164.120-11... Rescue Boats § 164.120-11 Production quality control requirements. The resin manufacturer must institute a quality control procedure to ensure that all Coast Guard-accepted resin is produced to the same...

  10. 46 CFR 164.120-11 - Production quality control requirements.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 46 Shipping 6 2013-10-01 2013-10-01 false Production quality control requirements. 164.120-11... Rescue Boats § 164.120-11 Production quality control requirements. The resin manufacturer must institute a quality control procedure to ensure that all Coast Guard-accepted resin is produced to the same...

  11. Quality Control Technician Curriculum. An Elusive Butterfly.

    ERIC Educational Resources Information Center

    Holler, Michael

    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…

  12. A quality improvement plan for hypertension control: the INCOTECA Project (INterventions for COntrol of hyperTEnsion in CAtalonia)

    PubMed Central

    Vallès-Fernandez, Roser; Rosell-Murphy, Magdalena; Correcher-Aventin, Olga; Mengual-Martínez, Lucas; Aznar-Martínez, Núria; Prieto-De Lamo, Gemma; Franzi-Sisó, Alícia; Puig-Manresa, Jordi; Ma Bonet-Simó, Josep

    2009-01-01

    . Significance level (α) will be set at < 0.05. Outcomes will be analysed on an intention-to-treat basis. Discussion The implementation of a quality improvement plan might benefit the coordination of different professionals of PHCTs and may also improve blood pressure control. Trial Registration This protocol has been registered at clinicaltrials.gov with the ID number MS: 1998275938244441. PMID:19321009

  13. Standardized protocols for quality control of MRM-based plasma proteomic workflows.

    PubMed

    Percy, Andrew J; Chambers, Andrew G; Smith, Derek S; Borchers, Christoph H

    2013-01-04

    Mass spectrometry (MS)-based proteomics is rapidly emerging as a viable technology for the identification and quantitation of biological samples, such as human plasma--the most complex yet commonly employed biofluid in clinical analyses. The transition from a qualitative to quantitative science is required if proteomics is going to successfully make the transition to a clinically useful technique. MS, however, has been criticized for a lack of reproducibility and interlaboratory transferability. Currently, the MS and plasma proteomics communities lack standardized protocols and reagents to ensure that high-quality quantitative data can be accurately and precisely reproduced by laboratories across the world using different MS technologies. Toward addressing this issue, we have developed standard protocols for multiple reaction monitoring (MRM)-based assays with customized isotopically labeled internal standards for quality control of the sample preparation workflow and the MS platform in quantitative plasma proteomic analyses. The development of reference standards and their application to a single MS platform is discussed herein, along with the results from intralaboratory tests. The tests highlighted the importance of the reference standards in assessing the efficiency and reproducibility of the entire bottom-up proteomic workflow and revealed errors related to the sample preparation and performance quality and deficits of the MS and LC systems. Such evaluations are necessary if MRM-based quantitative plasma proteomics is to be used in verifying and validating putative disease biomarkers across different research laboratories and eventually in clinical laboratories.

  14. A multiple objective optimization approach to quality control

    NASA Technical Reports Server (NTRS)

    Seaman, Christopher Michael

    1991-01-01

    The use of product quality as the performance criteria for manufacturing system control is explored. The goal in manufacturing, for economic reasons, is to optimize product quality. The problem is that since quality is a rather nebulous product characteristic, there is seldom an analytic function that can be used as a measure. Therefore standard control approaches, such as optimal control, cannot readily be applied. A second problem with optimizing product quality is that it is typically measured along many dimensions: there are many apsects of quality which must be optimized simultaneously. Very often these different aspects are incommensurate and competing. The concept of optimality must now include accepting tradeoffs among the different quality characteristics. These problems are addressed using multiple objective optimization. It is shown that the quality control problem can be defined as a multiple objective optimization problem. A controller structure is defined using this as the basis. Then, an algorithm is presented which can be used by an operator to interactively find the best operating point. Essentially, the algorithm uses process data to provide the operator with two pieces of information: (1) if it is possible to simultaneously improve all quality criteria, then determine what changes to the process input or controller parameters should be made to do this; and (2) if it is not possible to improve all criteria, and the current operating point is not a desirable one, select a criteria in which a tradeoff should be made, and make input changes to improve all other criteria. The process is not operating at an optimal point in any sense if no tradeoff has to be made to move to a new operating point. This algorithm ensures that operating points are optimal in some sense and provides the operator with information about tradeoffs when seeking the best operating point. The multiobjective algorithm was implemented in two different injection molding scenarios

  15. 7 CFR 58.523 - Laboratory and quality control tests.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 7 Agriculture 3 2014-01-01 2014-01-01 false Laboratory and quality control tests. 58.523 Section... Service 1 Operations and Operating Procedures § 58.523 Laboratory and quality control tests. (a) Quality control tests shall be made on samples as often as necessary to determine the shelf-life and stability of...

  16. 7 CFR 58.523 - Laboratory and quality control tests.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Laboratory and quality control tests. 58.523 Section... Service 1 Operations and Operating Procedures § 58.523 Laboratory and quality control tests. (a) Quality control tests shall be made on samples as often as necessary to determine the shelf-life and stability of...

  17. 7 CFR 58.523 - Laboratory and quality control tests.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 7 Agriculture 3 2013-01-01 2013-01-01 false Laboratory and quality control tests. 58.523 Section... Service 1 Operations and Operating Procedures § 58.523 Laboratory and quality control tests. (a) Quality control tests shall be made on samples as often as necessary to determine the shelf-life and stability of...

  18. 7 CFR 58.523 - Laboratory and quality control tests.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 3 2011-01-01 2011-01-01 false Laboratory and quality control tests. 58.523 Section... Service 1 Operations and Operating Procedures § 58.523 Laboratory and quality control tests. (a) Quality control tests shall be made on samples as often as necessary to determine the shelf-life and stability of...

  19. 7 CFR 58.523 - Laboratory and quality control tests.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 7 Agriculture 3 2012-01-01 2012-01-01 false Laboratory and quality control tests. 58.523 Section... Service 1 Operations and Operating Procedures § 58.523 Laboratory and quality control tests. (a) Quality control tests shall be made on samples as often as necessary to determine the shelf-life and stability of...

  20. 21 CFR 640.56 - Quality control test for potency.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... quality control test for potency may be performed by a clinical laboratory which meets the standards of... 21 Food and Drugs 7 2010-04-01 2010-04-01 false Quality control test for potency. 640.56 Section...) BIOLOGICS ADDITIONAL STANDARDS FOR HUMAN BLOOD AND BLOOD PRODUCTS Cryoprecipitate § 640.56 Quality control...

  1. Web quality control for lectures: Supercourse and Amazon.com.

    PubMed

    Linkov, Faina; LaPorte, Ronald; Lovalekar, Mita; Dodani, Sunita

    2005-12-01

    Peer review has been at the corner stone of quality control of the biomedical journals in the past 300 years. With the emergency of the Internet, new models of quality control and peer review are emerging. However, such models are poorly investigated. We would argue that the popular system of quality control used in Amazon.com offers a way to ensure continuous quality improvement in the area of research communications on the Internet. Such system is providing an interesting alternative to the traditional peer review approaches used in the biomedical journals and challenges the traditional paradigms of scientific publishing. This idea is being explored in the context of Supercourse, a library of 2,350 prevention lectures, shared for free by faculty members from over 150 countries. Supercourse is successfully utilizing quality control approaches that are similar to Amazon.com model. Clearly, the existing approaches and emerging alternatives for quality control in scientific communications needs to be assessed scientifically. Rapid explosion of internet technologies could be leveraged to produce better, more cost effective systems for quality control in the biomedical publications and across all sciences.

  2. 40 CFR 81.107 - Greenwood Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.107 Greenwood Intrastate Air Quality Control Region. The Greenwood Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Greenwood Intrastate Air Quality...

  3. 40 CFR 81.108 - Columbia Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.108 Columbia Intrastate Air Quality Control Region. The Columbia Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Columbia Intrastate Air Quality...

  4. 40 CFR 81.108 - Columbia Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.108 Columbia Intrastate Air Quality Control Region. The Columbia Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Columbia Intrastate Air Quality...

  5. 40 CFR 81.111 - Georgetown Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.111 Georgetown Intrastate Air Quality Control Region. The Georgetown Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Georgetown Intrastate Air Quality...

  6. 40 CFR 81.109 - Florence Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.109 Florence Intrastate Air Quality Control Region. The Florence Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Florence Intrastate Air Quality...

  7. 40 CFR 81.111 - Georgetown Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.111 Georgetown Intrastate Air Quality Control Region. The Georgetown Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Georgetown Intrastate Air Quality...

  8. 40 CFR 81.109 - Florence Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.109 Florence Intrastate Air Quality Control Region. The Florence Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Florence Intrastate Air Quality...

  9. 40 CFR 81.107 - Greenwood Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.107 Greenwood Intrastate Air Quality Control Region. The Greenwood Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Greenwood Intrastate Air Quality...

  10. Contractor Performed Quality Control on KyTC Projects.

    DOT National Transportation Integrated Search

    2002-08-01

    This report addresses issues related to transferring the responsibility for quality control from the Kentucky Transportation Cabinet (KyTC) to construction contractors. : Several key topics related to Contractor Performed Quality Control (CPQC) are p...

  11. [Pharmaceutical product quality control and good manufacturing practices].

    PubMed

    Hiyama, Yukio

    2010-01-01

    This report describes the roles of Good Manufacturing Practices (GMP) in pharmaceutical product quality control. There are three keys to pharmaceutical product quality control. They are specifications, thorough product characterization during development, and adherence to GMP as the ICH Q6A guideline on specifications provides the most important principles in its background section. Impacts of the revised Pharmaceutical Affairs Law (rPAL) which became effective in 2005 on product quality control are discussed. Progress of ICH discussion for Pharmaceutical Development (Q8), Quality Risk Management (Q9) and Pharmaceutical Quality System (Q10) are reviewed. In order to reconstruct GMP guidelines and GMP inspection system in the regulatory agencies under the new paradigm by rPAL and the ICH, a series of Health Science studies were conducted. For GMP guidelines, product GMP guideline, technology transfer guideline, laboratory control guideline and change control system guideline were written. For the GMP inspection system, inspection check list, inspection memo and inspection scenario were proposed also by the Health Science study groups. Because pharmaceutical products and their raw materials are manufactured and distributed internationally, collaborations with other national authorities are highly desired. In order to enhance the international collaborations, consistent establishment of GMP inspection quality system throughout Japan will be essential.

  12. The Reporting Quality of Systematic Reviews and Meta-Analyses in Industrial and Organizational Psychology: A Systematic Review

    PubMed Central

    Schalken, Naomi; Rietbergen, Charlotte

    2017-01-01

    Objective: The goal of this systematic review was to examine the reporting quality of the method section of quantitative systematic reviews and meta-analyses from 2009 to 2016 in the field of industrial and organizational psychology with the help of the Meta-Analysis Reporting Standards (MARS), and to update previous research, such as the study of Aytug et al. (2012) and Dieckmann et al. (2009). Methods: A systematic search for quantitative systematic reviews and meta-analyses was conducted in the top 10 journals in the field of industrial and organizational psychology between January 2009 and April 2016. Data were extracted on study characteristics and items of the method section of MARS. A cross-classified multilevel model was analyzed, to test whether publication year and journal impact factor (JIF) were associated with the reporting quality scores of articles. Results: Compliance with MARS in the method section was generally inadequate in the random sample of 120 articles. Variation existed in the reporting of items. There were no significant effects of publication year and journal impact factor (JIF) on the reporting quality scores of articles. Conclusions: The reporting quality in the method section of systematic reviews and meta-analyses was still insufficient, therefore we recommend researchers to improve the reporting in their articles by using reporting standards like MARS. PMID:28878704

  13. 21 CFR 862.1660 - Quality control material (assayed and unassayed).

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Quality control material (assayed and unassayed... Test Systems § 862.1660 Quality control material (assayed and unassayed). (a) Identification. A quality... that may arise from reagent or analytical instrument variation. A quality control material (assayed and...

  14. QUALITY ASSURANCE AND QUALITY CONTROL FOR WASTE CONTAINMENT FACILITIES. Project Summary

    EPA Science Inventory

    It is generally agreed that both quality assurance (QA) and quality control (QC) are essential to the proper installation and eventual performance of environmentally safe and secure waste containment systems. Even further, there are both manufacturing and construction aspects to...

  15. Novel Primer Sets for Next Generation Sequencing-Based Analyses of Water Quality

    PubMed Central

    Lee, Elvina; Khurana, Maninder S.; Whiteley, Andrew S.; Monis, Paul T.; Bath, Andrew; Gordon, Cameron; Ryan, Una M.; Paparini, Andrea

    2017-01-01

    Next generation sequencing (NGS) has rapidly become an invaluable tool for the detection, identification and relative quantification of environmental microorganisms. Here, we demonstrate two new 16S rDNA primer sets, which are compatible with NGS approaches and are primarily for use in water quality studies. Compared to 16S rRNA gene based universal primers, in silico and experimental analyses demonstrated that the new primers showed increased specificity for the Cyanobacteria and Proteobacteria phyla, allowing increased sensitivity for the detection, identification and relative quantification of toxic bloom-forming microalgae, microbial water quality bioindicators and common pathogens. Significantly, Cyanobacterial and Proteobacterial sequences accounted for ca. 95% of all sequences obtained within NGS runs (when compared to ca. 50% with standard universal NGS primers), providing higher sensitivity and greater phylogenetic resolution of key water quality microbial groups. The increased selectivity of the new primers allow the parallel sequencing of more samples through reduced sequence retrieval levels required to detect target groups, potentially reducing NGS costs by 50% but still guaranteeing optimal coverage and species discrimination. PMID:28118368

  16. [Post-marketing reevaluation for potential quality risk and quality control in clinical application of traditional Chinese medicines].

    PubMed

    Li, Hong-jiao; He, Li-yun; Liu, Bao-yan

    2015-06-01

    The effective quality control in clinical practices is an effective guarantee for the authenticity and scientificity of the findings. The post-marketing reevaluation for traditional Chinese medicines (TCM) focuses on the efficacy, adverse reaction, combined medication and effective dose of drugs in the market by expanded clinical trials, and requires a larger sample size and a wider range of patients. Therefore, this increases the difficulty of quality control in clinical practices. With the experience in quality control in clinical practices for the post-marketing reevaluation for Kangbingdu oral for cold, researchers in this study reviewed the study purpose, project, scheme design and clinical practice process from an overall point of view, analyzed the study characteristics of the post-marketing reevaluation for TCMs and the quality control risks, designed the quality control contents with quality impacting factors, defined key review contents and summarized the precautions in clinical practices, with the aim to improve the efficiency of quality control of clinical practices. This study can provide reference to clinical units and quality control-related personnel in the post-marketing reevaluation for TCMs.

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

    NASA Astrophysics Data System (ADS)

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

    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.

  18. 40 CFR 81.87 - Metropolitan Boise Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.87 Section 81.87 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.87 Metropolitan Boise Intrastate Air Quality Control Region. The Metropolitan Boise Intrastate Air Quality Control Region (Idaho) consists of the territorial area encompassed...

  19. 40 CFR 81.89 - Metropolitan Cheyenne Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.89 Section 81.89 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.89 Metropolitan Cheyenne Intrastate Air Quality Control Region. The Metropolitan Cheyenne Intrastate Air Quality Control Region (Wyoming) consists of the territorial area...

  20. 40 CFR 81.101 - Metropolitan Dubuque Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.101 Section 81.101 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.101 Metropolitan Dubuque Interstate Air Quality Control Region. The Metropolitan Dubuque Interstate Air Quality Control Region (Illinois-Iowa-Wisconsin) consists of the...

  1. 40 CFR 81.104 - Central Pennsylvania Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.104 Section 81.104 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.104 Central Pennsylvania Intrastate Air Quality Control Region. The Central Pennsylvania Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  2. 40 CFR 81.106 - Greenville-Spartanburg Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.106 Section 81.106 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.106 Greenville-Spartanburg Intrastate Air Quality Control Region. The Greenville-Spartanburg Intrastate Air Quality Control Region (South Carolina) consists of the territorial...

  3. 40 CFR 81.120 - Middle Tennessee Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.120 Section 81.120 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.120 Middle Tennessee Intrastate Air Quality Control Region. The Middle Tennessee Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  4. 40 CFR 81.75 - Metropolitan Charlotte Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.75 Section 81.75 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.75 Metropolitan Charlotte Interstate Air Quality Control Region. The Metropolitan Charlotte Interstate Air Quality Control Region (North Carolina-South Carolina) has been revised...

  5. 40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.79 Section 81.79 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.79 Northeastern Oklahoma Intrastate Air Quality Control Region. The Metropolitan Tulsa Intrastate Air Quality Control Region has been renamed the Northeastern Oklahoma Intrastate...

  6. 40 CFR 81.119 - Western Tennessee Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.119 Section 81.119 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.119 Western Tennessee Intrastate Air Quality Control Region. The Western Tennessee Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  7. 40 CFR 81.104 - Central Pennsylvania Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.104 Section 81.104 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.104 Central Pennsylvania Intrastate Air Quality Control Region. The Central Pennsylvania Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  8. 40 CFR 81.87 - Metropolitan Boise Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.87 Section 81.87 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.87 Metropolitan Boise Intrastate Air Quality Control Region. The Metropolitan Boise Intrastate Air Quality Control Region (Idaho) consists of the territorial area encompassed...

  9. 40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.79 Section 81.79 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.79 Northeastern Oklahoma Intrastate Air Quality Control Region. The Metropolitan Tulsa Intrastate Air Quality Control Region has been renamed the Northeastern Oklahoma Intrastate...

  10. 40 CFR 81.101 - Metropolitan Dubuque Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.101 Section 81.101 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.101 Metropolitan Dubuque Interstate Air Quality Control Region. The Metropolitan Dubuque Interstate Air Quality Control Region (Illinois-Iowa-Wisconsin) consists of the...

  11. 40 CFR 81.106 - Greenville-Spartanburg Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.106 Section 81.106 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.106 Greenville-Spartanburg Intrastate Air Quality Control Region. The Greenville-Spartanburg Intrastate Air Quality Control Region (South Carolina) consists of the territorial...

  12. 40 CFR 81.89 - Metropolitan Cheyenne Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.89 Section 81.89 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.89 Metropolitan Cheyenne Intrastate Air Quality Control Region. The Metropolitan Cheyenne Intrastate Air Quality Control Region (Wyoming) consists of the territorial area...

  13. 40 CFR 81.62 - Northeast Mississippi Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.62 Section 81.62 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.62 Northeast Mississippi Intrastate Air Quality Control Region. The Alabama-Mississippi-Tennessee Interstate Air Quality Control Region has been renamed the Northeast...

  14. 40 CFR 81.78 - Metropolitan Portland Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.78 Section 81.78 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.78 Metropolitan Portland Intrastate Air Quality Control Region. The Metropolitan Portland Intrastate Air Quality Control Region (Maine) consists of the territorial area...

  15. 40 CFR 81.77 - Puerto Rico Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 18 2014-07-01 2014-07-01 false Puerto Rico Air Quality Control Region... Control Regions § 81.77 Puerto Rico Air Quality Control Region. The Puerto Rico Air Quality Control Region... delimited): The entire Commonwealth of Puerto Rico: Puerto Rico and surrounding islands, Vieques and...

  16. HPLC for quality control of polyimides

    NASA Technical Reports Server (NTRS)

    Young, P. R.; Sykes, G. F.

    1979-01-01

    High Pressure Liquid Chromatography (HPLC) as a quality control tool for polyimide resins and prepregs are presented. A data base to help establish accept/reject criteria for these materials was developed. This work is intended to supplement, not replace, standard quality control tests normally conducted on incoming resins and prepregs. To help achieve these objectives, the HPLC separation of LARC-160 polyimide precursor resin was characterized. Room temperature resin aging effects were studied. Graphite reinforced composites made from fresh and aged resin were fabricated and tested to determine if changes observed by HPLC were significant.

  17. 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...

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

    ERIC Educational Resources Information Center

    Technical Education Research Center, Waco, TX.

    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…

  19. 40 CFR 81.118 - Southwest Missouri Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.118 Section 81.118 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.118 Southwest Missouri Intrastate Air Quality Control Region. The Southwest Missouri Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  20. 40 CFR 81.116 - Northern Missouri Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.116 Section 81.116 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.116 Northern Missouri Intrastate Air Quality Control Region. The Northern Missouri Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  1. 40 CFR 81.97 - Southwest Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.97 Section 81.97 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.97 Southwest Florida Intrastate Air Quality Control Region. The Southwest Florida Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  2. 40 CFR 81.117 - Southeast Missouri Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.117 Section 81.117 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.117 Southeast Missouri Intrastate Air Quality Control Region. The Southeast Missouri Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  3. 40 CFR 81.98 - Burlington-Keokuk Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.98 Section 81.98 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.98 Burlington-Keokuk Interstate Air Quality Control Region. The Burlington-Keokuk Interstate Air Quality Control Region (Illinois-Iowa) is revised to consist of the...

  4. 40 CFR 81.118 - Southwest Missouri Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.118 Section 81.118 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.118 Southwest Missouri Intrastate Air Quality Control Region. The Southwest Missouri Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  5. 40 CFR 81.115 - Northwest Nevada Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.115 Section 81.115 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.115 Northwest Nevada Intrastate Air Quality Control Region. The Northwest Nevada Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  6. 40 CFR 81.116 - Northern Missouri Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.116 Section 81.116 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.116 Northern Missouri Intrastate Air Quality Control Region. The Northern Missouri Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  7. 40 CFR 81.123 - Southeastern Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.123 Section 81.123 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.123 Southeastern Oklahoma Intrastate Air Quality Control Region. The Southeastern Oklahoma Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  8. 40 CFR 81.67 - Lake Michigan Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.67 Lake Michigan Intrastate Air Quality Control Region. The Menominee-Escanaba (Michigan)-Marinette (Wisconsin) Interstate Air Quality Control Region has been renamed the Lake Michigan Intrastate Air Quality Control Region (Wisconsin) and revised to consist of the territorial area...

  9. 40 CFR 81.115 - Northwest Nevada Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.115 Section 81.115 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.115 Northwest Nevada Intrastate Air Quality Control Region. The Northwest Nevada Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  10. 40 CFR 81.97 - Southwest Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.97 Section 81.97 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.97 Southwest Florida Intrastate Air Quality Control Region. The Southwest Florida Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  11. 40 CFR 81.117 - Southeast Missouri Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.117 Section 81.117 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.117 Southeast Missouri Intrastate Air Quality Control Region. The Southeast Missouri Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  12. 40 CFR 81.122 - Mississippi Delta Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.122 Section 81.122 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.122 Mississippi Delta Intrastate Air Quality Control Region. The Mississippi Delta Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  13. 40 CFR 81.98 - Burlington-Keokuk Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.98 Section 81.98 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.98 Burlington-Keokuk Interstate Air Quality Control Region. The Burlington-Keokuk Interstate Air Quality Control Region (Illinois-Iowa) is revised to consist of the...

  14. Analysing the quality of routine malaria data in Mozambique

    PubMed Central

    Chilundo, Baltazar; Sundby, Johanne; Aanestad, Margunn

    2004-01-01

    Background In Mozambique, malaria is the principal cause of morbidity and mortality. Efforts are being made to increase control activities within communities. These activities require management decisions based on evidence of malaria incidence. Although some data generated are of poor quality, there is little research towards improving the reporting systems. Methods An analysis of the quality of routine malaria data was performed in selected districts in Southern Mozambique from August to September 2003. The aim was to assess the quality of the source data in terms of completeness, correctness and consistency across management levels. Results Analysis revealed primary data to be of poor quality. The diversity of reporting systems with limited coordination give rise to redundancies and wastage of resources. There was evidence of "invention" of data in health facilities contributing to an incorrect representation of malaria incidence. Large, "non-clinical", time-based variations of malaria cases due to reporting delays were also noted, contributing to false alerts of outbreaks. Furthermore, targets established in the national strategic plan for malaria cannot be calculated through the existing systems; this is the case, for example, for data related to pregnant women and children under-five years. Discussion and recommendations The existing reporting system for malaria is currently not satisfying the information needs of managers. It is suggested that one standardized system, including the creation of one form to include the essential variables required for the calculation of key indicators by age, gender and pregnancy status, and to establish a national database that maps malaria by location. PMID:14998435

  15. Analysing the quality of routine malaria data in Mozambique.

    PubMed

    Chilundo, Baltazar; Sundby, Johanne; Aanestad, Margunn

    2004-03-03

    In Mozambique, malaria is the principal cause of morbidity and mortality. Efforts are being made to increase control activities within communities. These activities require management decisions based on evidence of malaria incidence. Although some data generated are of poor quality, there is little research towards improving the reporting systems. An analysis of the quality of routine malaria data was performed in selected districts in Southern Mozambique from August to September 2003. The aim was to assess the quality of the source data in terms of completeness, correctness and consistency across management levels. Analysis revealed primary data to be of poor quality. The diversity of reporting systems with limited coordination give rise to redundancies and wastage of resources. There was evidence of "invention" of data in health facilities contributing to an incorrect representation of malaria incidence. Large, "non-clinical", time-based variations of malaria cases due to reporting delays were also noted, contributing to false alerts of outbreaks.Furthermore, targets established in the national strategic plan for malaria cannot be calculated through the existing systems; this is the case, for example, for data related to pregnant women and children under-five years. The existing reporting system for malaria is currently not satisfying the information needs of managers. It is suggested that one standardized system, including the creation of one form to include the essential variables required for the calculation of key indicators by age, gender and pregnancy status, and to establish a national database that maps malaria by location.

  16. 20 CFR 602.41 - Proper expenditure of Quality Control granted funds.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 20 Employees' Benefits 3 2011-04-01 2011-04-01 false Proper expenditure of Quality Control granted... LABOR QUALITY CONTROL IN THE FEDERAL-STATE UNEMPLOYMENT INSURANCE SYSTEM Quality Control Grants to States § 602.41 Proper expenditure of Quality Control granted funds. The Secretary may, after reasonable...

  17. 20 CFR 602.41 - Proper expenditure of Quality Control granted funds.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Proper expenditure of Quality Control granted... LABOR QUALITY CONTROL IN THE FEDERAL-STATE UNEMPLOYMENT INSURANCE SYSTEM Quality Control Grants to States § 602.41 Proper expenditure of Quality Control granted funds. The Secretary may, after reasonable...

  18. A synthesis of existing systematic reviews and meta-analyses of school-based behavioural interventions for controlling and preventing obesity.

    PubMed

    Khambalia, A Z; Dickinson, S; Hardy, L L; Gill, T; Baur, L A

    2012-03-01

    Schools are an attractive and popular setting for implementing interventions for children. There is a growing body of empirical research exploring the efficacy of school-based obesity prevention programs. While there have been several reviews on the topic, findings remain mixed. To examine the quality of evidence and compare the findings from existing systematic reviews and meta-analyses of school-based programs in the prevention and control of childhood obesity. This paper systematically appraises the methodology and conclusions of literature reviews examining the effectiveness of school-based obesity interventions published in English in peer-reviewed journals between January 1990 and October 2010. Eight reviews were examined, three meta-analyses and five systematic reviews. All of the reviews recognized that studies were heterogeneous in design, participants, intervention and outcomes. Intervention components in the school setting associated with a significant reduction of weight in children included long-term interventions with combined diet and physical activity and a family component. Several reviews also found gender differences in response to interventions. Of the eight reviews, five were deemed of high quality and yet limited evidence was found on which to base recommendations. As no single intervention will fit all schools and populations, further high-quality research needs to focus on identifying specific program characteristics predictive of success. © 2011 The Authors. obesity reviews © 2011 International Association for the Study of Obesity.

  19. Japanese Quality Control Circles.

    ERIC Educational Resources Information Center

    Nishiyama, Kazuo

    In recent years, United States scholars with an interest in international business and organizational communication have begun to notice the success of Japanese "quality control circles." These are small groups, usually composed of seven to ten workers, who are organized at the production levels within most large Japanese factories. A…

  20. Droplet digital PCR-based EGFR mutation detection with an internal quality control index to determine the quality of DNA.

    PubMed

    Kim, Sung-Su; Choi, Hyun-Jeung; Kim, Jin Ju; Kim, M Sun; Lee, In-Seon; Byun, Bohyun; Jia, Lina; Oh, Myung Ryurl; Moon, Youngho; Park, Sarah; Choi, Joon-Seok; Chae, Seoung Wan; Nam, Byung-Ho; Kim, Jin-Soo; Kim, Jihun; Min, Byung Soh; Lee, Jae Seok; Won, Jae-Kyung; Cho, Soo Youn; Choi, Yoon-La; Shin, Young Kee

    2018-01-11

    In clinical translational research and molecular in vitro diagnostics, a major challenge in the detection of genetic mutations is overcoming artefactual results caused by the low-quality of formalin-fixed paraffin-embedded tissue (FFPET)-derived DNA (FFPET-DNA). Here, we propose the use of an 'internal quality control (iQC) index' as a criterion for judging the minimum quality of DNA for PCR-based analyses. In a pre-clinical study comparing the results from droplet digital PCR-based EGFR mutation test (ddEGFR test) and qPCR-based EGFR mutation test (cobas EGFR test), iQC index ≥ 0.5 (iQC copies ≥ 500, using 3.3 ng of FFPET-DNA [1,000 genome equivalents]) was established, indicating that more than half of the input DNA was amplifiable. Using this criterion, we conducted a retrospective comparative clinical study of the ddEGFR and cobas EGFR tests for the detection of EGFR mutations in non-small cell lung cancer (NSCLC) FFPET-DNA samples. Compared with the cobas EGFR test, the ddEGFR test exhibited superior analytical performance and equivalent or higher clinical performance. Furthermore, iQC index is a reliable indicator of the quality of FFPET-DNA and could be used to prevent incorrect diagnoses arising from low-quality samples.

  1. 14 CFR 21.143 - Quality control data requirements; prime manufacturer.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 14 Aeronautics and Space 1 2011-01-01 2011-01-01 false Quality control data requirements; prime... describing assigned responsibilities and delegated authority of the quality control organization, together with a chart indicating the functional relationship of the quality control organization to management...

  2. 40 CFR 81.51 - Portland Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Control Region. 81.51 Section 81.51 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.51 Portland Interstate Air Quality Control Region. The Portland Interstate...

  3. 40 CFR 81.51 - Portland Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Control Region. 81.51 Section 81.51 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.51 Portland Interstate Air Quality Control Region. The Portland Interstate...

  4. 40 CFR 81.51 - Portland Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Control Region. 81.51 Section 81.51 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.51 Portland Interstate Air Quality Control Region. The Portland Interstate...

  5. 30 CFR 28.32 - Proposed quality control plans; approval by MSHA.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 30 Mineral Resources 1 2011-07-01 2011-07-01 false Proposed quality control plans; approval by...-CIRCUIT PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.32 Proposed quality control plans; approval by MSHA. (a) Each proposed quality control plan submitted in accordance with this...

  6. 30 CFR 28.32 - Proposed quality control plans; approval by MSHA.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ...-CIRCUIT PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.32 Proposed quality control plans; approval by MSHA. (a) Each proposed quality control plan submitted in accordance with this... 30 Mineral Resources 1 2012-07-01 2012-07-01 false Proposed quality control plans; approval by...

  7. 30 CFR 28.32 - Proposed quality control plans; approval by MSHA.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ...-CIRCUIT PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.32 Proposed quality control plans; approval by MSHA. (a) Each proposed quality control plan submitted in accordance with this... 30 Mineral Resources 1 2013-07-01 2013-07-01 false Proposed quality control plans; approval by...

  8. 30 CFR 28.32 - Proposed quality control plans; approval by MSHA.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ...-CIRCUIT PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.32 Proposed quality control plans; approval by MSHA. (a) Each proposed quality control plan submitted in accordance with this... 30 Mineral Resources 1 2014-07-01 2014-07-01 false Proposed quality control plans; approval by...

  9. CRN5EXP: Expert system for statistical quality control

    NASA Technical Reports Server (NTRS)

    Hentea, Mariana

    1991-01-01

    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.

  10. [City-hospital network and quality control of officinal preparations].

    PubMed

    Curti, C; Gallice, S; Lamy, E; Rathelot, P; Vanelle, P

    2018-05-01

    In a hospital environment, the quality control of the hospital preparations allows to release homogeneous batches in a secure way. These controls are totally integrated into the process of production and can also, in certain cases, be realized for high-alert magistral preparations. In community pharmacy, these controls were not required, but the Agence régionale de santé (ARS) recently incited compounding community pharmacies to realize this type of analyses. This decision motivated the creation of a collaboration between the pharmacy department of a French teaching hospital and a society including around thirty community pharmacies having a preparatory. Twenty community pharmacies distributed on all the territory have submitted one of their pediatric preparation, capsules of captopril 2mg, to the pharmacopoeia controls usually realized in the industry or hospital. All the analyzed batches were in agreement with European Pharmacopeia specifications. We shall present the rational of this work, the results as well as the numerous perspectives offered by this new type of collaboration joining completely the logic of a network city-hospital allowing the improvement of security of the medication circuit in France. Copyright © 2017 Académie Nationale de Pharmacie. Published by Elsevier Masson SAS. All rights reserved.

  11. Hypothesis driven drug design: improving quality and effectiveness of the design-make-test-analyse cycle.

    PubMed

    Plowright, Alleyn T; Johnstone, Craig; Kihlberg, Jan; Pettersson, Jonas; Robb, Graeme; Thompson, Richard A

    2012-01-01

    In drug discovery, the central process of constructing and testing hypotheses, carefully conducting experiments and analysing the associated data for new findings and information is known as the design-make-test-analyse cycle. Each step relies heavily on the inputs and outputs of the other three components. In this article we report our efforts to improve and integrate all parts to enable smooth and rapid flow of high quality ideas. Key improvements include enhancing multi-disciplinary input into 'Design', increasing the use of knowledge and reducing cycle times in 'Make', providing parallel sets of relevant data within ten working days in 'Test' and maximising the learning in 'Analyse'. Copyright © 2011 Elsevier Ltd. All rights reserved.

  12. Protein quality control: the who’s who, the where’s and therapeutic escapes

    PubMed Central

    Yam, Gary Hin-Fai; Fan, Jingyu; Hirano, Kiyoko; Gaplovska-Kysela, Katarina; Le Fourn, Valerie; Guhl, Bruno; Santimaria, Roger; Torossi, Tania; Ziak, Martin

    2007-01-01

    In cells the quality of newly synthesized proteins is monitored in regard to proper folding and correct assembly in the early secretory pathway, the cytosol and the nucleoplasm. Proteins recognized as non-native in the ER will be removed and degraded by a process termed ERAD. ERAD of aberrant proteins is accompanied by various changes of cellular organelles and results in protein folding diseases. This review focuses on how the immunocytochemical labeling and electron microscopic analyses have helped to disclose the in situ subcellular distribution pattern of some of the key machinery proteins of the cellular protein quality control, the organelle changes due to the presence of misfolded proteins, and the efficiency of synthetic chaperones to rescue disease-causing trafficking defects of aberrant proteins. PMID:18075753

  13. 22 CFR 96.39 - Information disclosure and quality control practices.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 22 Foreign Relations 1 2011-04-01 2011-04-01 false Information disclosure and quality control... for Convention Accreditation and Approval Information Disclosure, Fee Practices, and Quality Control Policies and Practices § 96.39 Information disclosure and quality control practices. (a) The agency or...

  14. 22 CFR 96.39 - Information disclosure and quality control practices.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Information disclosure and quality control... for Convention Accreditation and Approval Information Disclosure, Fee Practices, and Quality Control Policies and Practices § 96.39 Information disclosure and quality control practices. (a) The agency or...

  15. 22 CFR 96.39 - Information disclosure and quality control practices.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 22 Foreign Relations 1 2014-04-01 2014-04-01 false Information disclosure and quality control... for Convention Accreditation and Approval Information Disclosure, Fee Practices, and Quality Control Policies and Practices § 96.39 Information disclosure and quality control practices. (a) The agency or...

  16. 22 CFR 96.39 - Information disclosure and quality control practices.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... 22 Foreign Relations 1 2012-04-01 2012-04-01 false Information disclosure and quality control... for Convention Accreditation and Approval Information Disclosure, Fee Practices, and Quality Control Policies and Practices § 96.39 Information disclosure and quality control practices. (a) The agency or...

  17. 22 CFR 96.39 - Information disclosure and quality control practices.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 22 Foreign Relations 1 2013-04-01 2013-04-01 false Information disclosure and quality control... for Convention Accreditation and Approval Information Disclosure, Fee Practices, and Quality Control Policies and Practices § 96.39 Information disclosure and quality control practices. (a) The agency or...

  18. Night shift work and breast cancer risk: what do the meta-analyses tell us?

    PubMed

    Pahwa, Manisha; Labrèche, France; Demers, Paul A

    2018-05-22

    Objectives This paper aims to compare results, assess the quality, and discuss the implications of recently published meta-analyses of night shift work and breast cancer risk. Methods A comprehensive search was conducted for meta-analyses published from 2007-2017 that included at least one pooled effect size (ES) for breast cancer associated with any night shift work exposure metric and were accompanied by a systematic literature review. Pooled ES from each meta-analysis were ascertained with a focus on ever/never exposure associations. Assessments of heterogeneity and publication bias were also extracted. The AMSTAR 2 checklist was used to evaluate quality. Results Seven meta-analyses, published from 2013-2016, collectively included 30 cohort and case-control studies spanning 1996-2016. Five meta-analyses reported pooled ES for ever/never night shift work exposure; these ranged from 0.99 [95% confidence interval (CI) 0.95-1.03, N=10 cohort studies) to 1.40 (95% CI 1.13-1.73, N=9 high quality studies). Estimates for duration, frequency, and cumulative night shift work exposure were scant and mostly not statistically significant. Meta-analyses of cohort, Asian, and more fully-adjusted studies generally resulted in lower pooled ES than case-control, European, American, or minimally-adjusted studies. Most reported statistically significant between-study heterogeneity. Publication bias was not evident in any of the meta-analyses. Only one meta-analysis was strong in critical quality domains. Conclusions Fairly consistent elevated pooled ES were found for ever/never night shift work and breast cancer risk, but results for other shift work exposure metrics were inconclusive. Future evaluations of shift work should incorporate high quality meta-analyses that better appraise individual study quality.

  19. Quality control and quality assurance of hot mix asphalt construction in Delaware.

    DOT National Transportation Integrated Search

    2006-07-01

    Since the mid 60s the Federal Highway Administration began to encourage : Departments of Transportation and Contractors toward the use of quality control and : quality assurance (QA/QC) specifications, which are statistically based. : For example,...

  20. Ocean Data Quality Control

    DTIC Science & Technology

    2011-11-18

    the aero- sol at the coincident time and location of the satellite SST retrievals. This informa- tion is available in the daytime for the anti-solar...are of the same form, such as probabilities or standard normal deviates. A quality control decision-making algorithm in use at the U.S. Navy oceano

  1. ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline.

    PubMed

    Qin, Qian; Mei, Shenglin; Wu, Qiu; Sun, Hanfei; Li, Lewyn; Taing, Len; Chen, Sujun; Li, Fugen; Liu, Tao; Zang, Chongzhi; Xu, Han; Chen, Yiwen; Meyer, Clifford A; Zhang, Yong; Brown, Myles; Long, Henry W; Liu, X Shirley

    2016-10-03

    Transcription factor binding, histone modification, and chromatin accessibility studies are important approaches to understanding the biology of gene regulation. ChIP-seq and DNase-seq have become the standard techniques for studying protein-DNA interactions and chromatin accessibility respectively, and comprehensive quality control (QC) and analysis tools are critical to extracting the most value from these assay types. Although many analysis and QC tools have been reported, few combine ChIP-seq and DNase-seq data analysis and quality control in a unified framework with a comprehensive and unbiased reference of data quality metrics. ChiLin is a computational pipeline that automates the quality control and data analyses of ChIP-seq and DNase-seq data. It is developed using a flexible and modular software framework that can be easily extended and modified. ChiLin is ideal for batch processing of many datasets and is well suited for large collaborative projects involving ChIP-seq and DNase-seq from different designs. ChiLin generates comprehensive quality control reports that include comparisons with historical data derived from over 23,677 public ChIP-seq and DNase-seq samples (11,265 datasets) from eight literature-based classified categories. To the best of our knowledge, this atlas represents the most comprehensive ChIP-seq and DNase-seq related quality metric resource currently available. These historical metrics provide useful heuristic quality references for experiment across all commonly used assay types. Using representative datasets, we demonstrate the versatility of the pipeline by applying it to different assay types of ChIP-seq data. The pipeline software is available open source at https://github.com/cfce/chilin . ChiLin is a scalable and powerful tool to process large batches of ChIP-seq and DNase-seq datasets. The analysis output and quality metrics have been structured into user-friendly directories and reports. We have successfully compiled 23

  2. Quality Controlling CMIP datasets at GFDL

    NASA Astrophysics Data System (ADS)

    Horowitz, L. W.; Radhakrishnan, A.; Balaji, V.; Adcroft, A.; Krasting, J. P.; Nikonov, S.; Mason, E. E.; Schweitzer, R.; Nadeau, D.

    2017-12-01

    As GFDL makes the switch from model development to production in light of the Climate Model Intercomparison Project (CMIP), GFDL's efforts are shifted to testing and more importantly establishing guidelines and protocols for Quality Controlling and semi-automated data publishing. Every CMIP cycle introduces key challenges and the upcoming CMIP6 is no exception. The new CMIP experimental design comprises of multiple MIPs facilitating research in different focus areas. This paradigm has implications not only for the groups that develop the models and conduct the runs, but also for the groups that monitor, analyze and quality control the datasets before data publishing, before their knowledge makes its way into reports like the IPCC (Intergovernmental Panel on Climate Change) Assessment Reports. In this talk, we discuss some of the paths taken at GFDL to quality control the CMIP-ready datasets including: Jupyter notebooks, PrePARE, LAMP (Linux, Apache, MySQL, PHP/Python/Perl): technology-driven tracker system to monitor the status of experiments qualitatively and quantitatively, provide additional metadata and analysis services along with some in-built controlled-vocabulary validations in the workflow. In addition to this, we also discuss the integration of community-based model evaluation software (ESMValTool, PCMDI Metrics Package, and ILAMB) as part of our CMIP6 workflow.

  3. 40 CFR 81.76 - State of Hawaii Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false State of Hawaii Air Quality Control... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.76 State of Hawaii Air Quality Control Region. The State of Hawaii Air Quality...

  4. 40 CFR 81.76 - State of Hawaii Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false State of Hawaii Air Quality Control... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.76 State of Hawaii Air Quality Control Region. The State of Hawaii Air Quality...

  5. 40 CFR 81.76 - State of Hawaii Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false State of Hawaii Air Quality Control... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.76 State of Hawaii Air Quality Control Region. The State of Hawaii Air Quality...

  6. 40 CFR 81.76 - State of Hawaii Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false State of Hawaii Air Quality Control... PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.76 State of Hawaii Air Quality Control Region. The State of Hawaii Air Quality...

  7. A multichannel amplitude and relative-phase controller for active sound quality control

    NASA Astrophysics Data System (ADS)

    Mosquera-Sánchez, Jaime A.; Desmet, Wim; de Oliveira, Leopoldo P. R.

    2017-05-01

    The enhancement of the sound quality of periodic disturbances for a number of listeners within an enclosure often confronts difficulties given by cross-channel interferences, which arise from simultaneously profiling the primary sound at each error sensor. These interferences may deteriorate the original sound among each listener, which is an unacceptable result from the point of view of sound quality control. In this paper we provide experimental evidence on controlling both amplitude and relative-phase functions of stationary complex primary sounds for a number of listeners within a cavity, attaining amplifications of twice the original value, reductions on the order of 70 dB, and relative-phase shifts between ± π rad, still in a free-of-interference control scenario. To accomplish such burdensome control targets, we have designed a multichannel active sound profiling scheme that bases its operation on exchanging time-domain control signals among the control units during uptime. Provided the real parts of the eigenvalues of persistently excited control matrices are positive, the proposed multichannel array is able to counterbalance cross-channel interferences, while attaining demanding control targets. Moreover, regularization of unstable control matrices is not seen to prevent the proposed array to provide free-of-interference amplitude and relative-phase control, but the system performance is degraded, as a function of the amount of regularization needed. The assessment of Loudness and Roughness metrics on the controlled primary sound proves that the proposed distributed control scheme noticeably outperforms current techniques, since active amplitude- and/or relative-phase-based enhancement of the auditory qualities of a primary sound no longer implies in causing interferences among different positions. In this regard, experimental results also confirm the effectiveness of the proposed scheme on stably enhancing the sound qualities of periodic sounds for

  8. Subgroup analyses in randomised controlled trials: cohort study on trial protocols and journal publications.

    PubMed

    Kasenda, Benjamin; Schandelmaier, Stefan; Sun, Xin; von Elm, Erik; You, John; Blümle, Anette; Tomonaga, Yuki; Saccilotto, Ramon; Amstutz, Alain; Bengough, Theresa; Meerpohl, Joerg J; Stegert, Mihaela; Olu, Kelechi K; Tikkinen, Kari A O; Neumann, Ignacio; Carrasco-Labra, Alonso; Faulhaber, Markus; Mulla, Sohail M; Mertz, Dominik; Akl, Elie A; Bassler, Dirk; Busse, Jason W; Ferreira-González, Ignacio; Lamontagne, Francois; Nordmann, Alain; Gloy, Viktoria; Raatz, Heike; Moja, Lorenzo; Rosenthal, Rachel; Ebrahim, Shanil; Vandvik, Per O; Johnston, Bradley C; Walter, Martin A; Burnand, Bernard; Schwenkglenks, Matthias; Hemkens, Lars G; Bucher, Heiner C; Guyatt, Gordon H; Briel, Matthias

    2014-07-16

    To investigate the planning of subgroup analyses in protocols of randomised controlled trials and the agreement with corresponding full journal publications. Cohort of protocols of randomised controlled trial and subsequent full journal publications. Six research ethics committees in Switzerland, Germany, and Canada. 894 protocols of randomised controlled trial involving patients approved by participating research ethics committees between 2000 and 2003 and 515 subsequent full journal publications. Of 894 protocols of randomised controlled trials, 252 (28.2%) included one or more planned subgroup analyses. Of those, 17 (6.7%) provided a clear hypothesis for at least one subgroup analysis, 10 (4.0%) anticipated the direction of a subgroup effect, and 87 (34.5%) planned a statistical test for interaction. Industry sponsored trials more often planned subgroup analyses compared with investigator sponsored trials (195/551 (35.4%) v 57/343 (16.6%), P<0.001). Of 515 identified journal publications, 246 (47.8%) reported at least one subgroup analysis. In 81 (32.9%) of the 246 publications reporting subgroup analyses, authors stated that subgroup analyses were prespecified, but this was not supported by 28 (34.6%) corresponding protocols. In 86 publications, authors claimed a subgroup effect, but only 36 (41.9%) corresponding protocols reported a planned subgroup analysis. Subgroup analyses are insufficiently described in the protocols of randomised controlled trials submitted to research ethics committees, and investigators rarely specify the anticipated direction of subgroup effects. More than one third of statements in publications of randomised controlled trials about subgroup prespecification had no documentation in the corresponding protocols. Definitive judgments regarding credibility of claimed subgroup effects are not possible without access to protocols and analysis plans of randomised controlled trials. © The DISCO study group 2014.

  9. Improving Forecast Skill by Assimilation of Quality Controlled AIRS Version 5 Temperature Soundings

    NASA Technical Reports Server (NTRS)

    Susskind, Joel; Reale, Oreste

    2009-01-01

    The AIRS Science Team Version 5 retrieval algorithm has been finalized and is now operational at the Goddard DAAC in the processing (and reprocessing) of all AIRS data. The AIRS Science Team Version 5 retrieval algorithm contains two significant improvements over Version 4: 1) Improved physics allows for use of AIRS observations in the entire 4.3 micron CO2 absorption band in the retrieval of temperature profile T(p) during both day and night. Tropospheric sounding 15 micron CO2 observations are now used primarily in the generation of cloud cleared radiances R(sub i). This approach allows for the generation of accurate values of R(sub i) and T(p) under most cloud conditions. 2) Another very significant improvement in Version 5 is the ability to generate accurate case-by-case, level-by-level error estimates for the atmospheric temperature profile, as well as for channel-by-channel error estimates for R(sub i). These error estimates are used for Quality Control of the retrieved products. We have conducted forecast impact experiments assimilating AIRS temperature profiles with different levels of Quality Control using the NASA GEOS-5 data assimilation system. Assimilation of Quality Controlled T(p) resulted in significantly improved forecast skill compared to that obtained from analyses obtained when all data used operationally by NCEP, except for AIRS data, is assimilated. We also conducted an experiment assimilating AIRS radiances uncontaminated by clouds, as done operationally by ECMWF and NCEP. Forecast resulting from assimilated AIRS radiances were of poorer quality than those obtained assimilating AIRS temperatures.

  10. 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...

  11. 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...

  12. 40 CFR 75.21 - Quality assurance and quality control requirements.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., as defined in § 72.2, k=2) of plus or minus 1.0 percent (calculated combined standard uncertainty of... system according to the quality assurance and quality control procedures in appendix B of this part. (2... requirements of Method 2, 6C, 7E, or 3A in Appendices A-1, A-2 and A-4 to part 60 of this chapter (supplemented...

  13. Sleep quality and the risk of work injury: a Swiss case-control study.

    PubMed

    Uehli, Katrin; Miedinger, David; Bingisser, Roland; Dürr, Selina; Holsboer-Trachsler, Edith; Maier, Sabrina; Mehta, Amar J; Müller, Roland; Schindler, Christian; Zogg, Stefanie; Künzli, Nino; Leuppi, Jörg D

    2014-10-01

    Sleep problems are a well-known risk factor for work injuries, but less is known about which vulnerable populations are most at risk. The aims of this study were to investigate the association between sleep quality and the risk of work injury and to identify factors that may modify the association. A case-control study including 180 cases and 551 controls was conducted at the University Hospital in Basel, Switzerland, from 1 December 2009 to 30 June 2011. Data on work injuries and sleep quality were collected. Adjusted odds ratios and 95% confidence intervals of the association between sleep quality and work injury were estimated in multivariable logistic regression analyses and were stratified by hypothesized effect modifiers (age, gender, job risk, shift work, sleep duration and working hours). Poor sleep quality was associated significantly with work injury of any type (P < 0.05) and with being caught in particular (P < 0.05). The association between poor sleep quality and work injury was significantly higher for workers older than 30 years (odds ratio>30 1.30 versus odds ratio≤30 0.91, P < 0.01), sleeping 7 h or less per night (odds ratio≤7 1.17 versus odds ratio>7 0.79, P < 0.05) and working 50 h or more per week (odds ratio≥50 1.79 versus odd ratio<50 1.10, P < 0.01). Work injury risk increased with increasing severity of sleep problems (P < 0.05). Prior work injury frequency increased with decreasing sleep quality (P < 0.05). Older age, short sleep duration and long working hours may enhance the risk of work injuries associated with sleep quality. © 2014 European Sleep Research Society.

  14. Measuring Air Quality in a Construction Site Biotope Using the AQM-65 Analyser

    NASA Astrophysics Data System (ADS)

    Ioana-Alina, Creţan; Nicoleta, Nemeș

    2017-10-01

    Activities related to the execution of construction works often exert pressure on the quality of environmental factors in adjacent habitat. In various stages of realization of the works if is the opening of the building site and access roads, borrow pits and the storage, or the construction itself, all the related activities will cause harm in various degrees of vegetation on the construction site and its surroundings. Large areas are rendered non-productive and, although they should be restored for use in the same place or elsewhere, sometimes they can lose their natural habitat baseline. The paper is presenting a case study of air quality monitoring using the AQM 65 analyser for a construction site located near Timisoara locality, Timis County, Romania.

  15. Internal quality control: planning and implementation strategies.

    PubMed

    Westgard, James O

    2003-11-01

    The first essential in setting up internal quality control (IQC) of a test procedure in the clinical laboratory is to select the proper IQC procedure to implement, i.e. choosing the statistical criteria or control rules, and the number of control measurements, according to the quality required for the test and the observed performance of the method. Then the right IQC procedure must be properly implemented. This review focuses on strategies for planning and implementing IQC procedures in order to improve the quality of the IQC. A quantitative planning process is described that can be implemented with graphical tools such as power function or critical-error graphs and charts of operating specifications. Finally, a total QC strategy is formulated to minimize cost and maximize quality. A general strategy for IQC implementation is recommended that employs a three-stage design in which the first stage provides high error detection, the second stage low false rejection and the third stage prescribes the length of the analytical run, making use of an algorithm involving the average of normal patients' data.

  16. [Quality control of Maca (Lepidium meyenii)].

    PubMed

    Shu, Ji-cheng; Cui, Hang-qing; Huang, Ying-zheng; Huang, Xiao-ying; Yang, Ming

    2015-12-01

    To control the quality of Maca, the quality standard was established in this study. According to the methods recorded in the Appendix of Chinese Pharmacopoeia (2010 Edition), the water, extract, total ash, acid insoluble substance, and heavy metals inspections in Lepidium meyenii were carried out. N-benzyl-9Z, 12Z-octadecadienamide in L. meyenii was identified by TLC, and it was determined by HPLC. The results showed that the N-benzyl-9Z, 12Z-octadecadienamide identification of TLC was a strong mark and specificity. In content determination experiment, the linearity of N-benzyl-9Z, 12Z-octadecadienamide was in the range of 0.01-2 microg (r = 0.9998), and the average recovery (n=9) was 99.27% (RSD 2.0%). The methods were simple, accurate, with good reproducibility. It is suitable for quality control L. meyenii.

  17. A systematic review of the quality of conduct and reporting of systematic reviews and meta-analyses in paediatric surgery

    PubMed Central

    Gudlaugsdottir, Katrin; Andrews, James

    2017-01-01

    Objective Our objective was to evaluate quality of conduct and reporting of published systematic reviews and meta-analyses in paediatric surgery. We also aimed to identify characteristics predictive of review quality. Background Systematic reviews summarise evidence by combining sources, but are potentially prone to bias. To counter this, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was published to aid in reporting. Similarly, the Assessing the Methodological Quality of Systematic Reviews (AMSTAR) measurement tool was designed to appraise methodology. The paediatric surgical literature has seen an increasing number of reviews over the past decade, but quality has not been evaluated. Methods Adhering to PRISMA guidelines, we performed a systematic review with a priori design to identify systematic reviews and meta-analyses of interventions in paediatric surgery. From 01/2010 to 06/2016, we searched: MEDLINE, EMBASE, Cochrane, Centre for Reviews and Dissemination, Web of Science, Google Scholar, reference lists and journals. Two reviewers independently selected studies and extracted data. We assessed conduct and reporting using AMSTAR and PRISMA. Scores were calculated as the sum of reported items. We also extracted author, journal and article characteristics, and used them in exploratory analysis to determine which variables predict quality. Results 112 articles fulfilled eligibility criteria (53 systematic reviews; 59 meta-analyses). Overall, 68% AMSTAR and 56.8% PRISMA items were reported adequately. Poorest scores were identified with regards a priori design, inclusion of structured summaries, including the grey literature, citing excluded articles and evaluating bias. 13 reviews were pre-registered and 6 in PRISMA-endorsing journals. The following predicted quality in univariate analysis:, word count, Cochrane review, journal h-index, impact factor, journal endorses PRISMA, PRISMA adherence suggested in author guidance

  18. 40 CFR 81.42 - Chattanooga Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Chattanooga Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.42 Chattanooga Interstate Air Quality Control Region. The Chattanooga...

  19. 40 CFR 81.35 - Louisville Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Louisville Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville...

  20. 40 CFR 81.36 - Maricopa Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Maricopa Intrastate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.36 Maricopa Intrastate Air Quality Control Region. The Phoenix-Tucson...

  1. 40 CFR 81.51 - Portland Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Portland Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.51 Portland Interstate Air Quality Control Region. The Portland Interstate...

  2. 40 CFR 81.36 - Maricopa Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Maricopa Intrastate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.36 Maricopa Intrastate Air Quality Control Region. The Phoenix-Tucson...

  3. 40 CFR 81.42 - Chattanooga Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Chattanooga Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.42 Chattanooga Interstate Air Quality Control Region. The Chattanooga...

  4. 40 CFR 81.51 - Portland Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Portland Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.51 Portland Interstate Air Quality Control Region. The Portland Interstate...

  5. 40 CFR 81.35 - Louisville Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Louisville Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville...

  6. 40 CFR 81.36 - Maricopa Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false Maricopa Intrastate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.36 Maricopa Intrastate Air Quality Control Region. The Phoenix-Tucson...

  7. 40 CFR 81.42 - Chattanooga Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 18 2014-07-01 2014-07-01 false Chattanooga Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.42 Chattanooga Interstate Air Quality Control Region. The Chattanooga...

  8. 40 CFR 81.36 - Maricopa Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 18 2014-07-01 2014-07-01 false Maricopa Intrastate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.36 Maricopa Intrastate Air Quality Control Region. The Phoenix-Tucson...

  9. 40 CFR 81.42 - Chattanooga Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false Chattanooga Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.42 Chattanooga Interstate Air Quality Control Region. The Chattanooga...

  10. 40 CFR 81.35 - Louisville Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false Louisville Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville...

  11. 40 CFR 81.36 - Maricopa Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Maricopa Intrastate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.36 Maricopa Intrastate Air Quality Control Region. The Phoenix-Tucson...

  12. 40 CFR 81.42 - Chattanooga Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Chattanooga Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.42 Chattanooga Interstate Air Quality Control Region. The Chattanooga...

  13. 40 CFR 81.35 - Louisville Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 18 2014-07-01 2014-07-01 false Louisville Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville...

  14. 40 CFR 81.35 - Louisville Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Louisville Interstate Air Quality...) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.35 Louisville Interstate Air Quality Control Region. The Louisville...

  15. 40 CFR 81.90 - Androscoggin Valley Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Region. 81.90 Section 81.90 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.90 Androscoggin Valley Interstate Air Quality Control Region. The...

  16. 40 CFR 81.90 - Androscoggin Valley Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Region. 81.90 Section 81.90 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.90 Androscoggin Valley Interstate Air Quality Control Region. The...

  17. 40 CFR 81.43 - Metropolitan Toledo Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.43 Metropolitan Toledo Interstate Air Quality Control Region. The Metropolitan Toledo Interstate Air Quality Control Region (Ohio-Michigan) consists of the territorial area...

  18. 40 CFR 81.75 - Metropolitan Charlotte Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.75 Metropolitan Charlotte Interstate Air Quality Control Region. The Metropolitan Charlotte Interstate Air Quality Control Region (North Carolina-South Carolina) has been revised...

  19. 40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control Region has been renamed the Central Oklahoma Intrastate...

  20. 40 CFR 81.44 - Metropolitan Memphis Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.44 Metropolitan Memphis Interstate Air Quality Control Region. The Metropolitan Memphis Interstate Air Quality Control Region (Arkansas-Mississippi-Tennessee) consists of the...

  1. 40 CFR 81.16 - Metropolitan Denver Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.16 Metropolitan Denver Intrastate Air Quality Control Region. The Metropolitan Denver Intrastate Air Quality Control Region (Colorado) consists of the territorial area...

  2. 40 CFR 81.24 - Niagara Frontier Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.24 Niagara Frontier Intrastate Air Quality Control Region. The Niagara Frontier Intrastate Air Quality Control Region (New York) consists of the territorial area...

  3. 40 CFR 81.28 - Metropolitan Baltimore Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.28 Metropolitan Baltimore Intrastate Air Quality Control Region. The Metropolitan Baltimore Intrastate Air Quality Control Region (Maryland) consists of the territorial area...

  4. 40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality Control Region is redesignated to consist of the territorial...

  5. 40 CFR 81.30 - Southeastern Wisconsin Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.30 Southeastern Wisconsin Intrastate Air Quality Control Region. The Metropolitan Milwaukee Intrastate Air Quality Control Region (Wisconsin) has been renamed the Southeastern...

  6. 40 CFR 81.19 - Metropolitan Boston Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.19 Metropolitan Boston Intrastate Air Quality Control Region. The Metropolitan Boston Intrastate Air Quality Control Region (Massachusetts) consists of the territorial area...

  7. 40 CFR 81.29 - Metropolitan Indianapolis Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Air Quality Control Region. 81.29 Section 81.29 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.29 Metropolitan Indianapolis Intrastate Air Quality Control...

  8. 40 CFR 81.78 - Metropolitan Portland Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.78 Metropolitan Portland Intrastate Air Quality Control Region. The Metropolitan Portland Intrastate Air Quality Control Region (Maine) consists of the territorial area...

  9. 40 CFR 81.62 - Northeast Mississippi Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.62 Northeast Mississippi Intrastate Air Quality Control Region. The Alabama-Mississippi-Tennessee Interstate Air Quality Control Region has been renamed the Northeast...

  10. 40 CFR 81.31 - Metropolitan Providence Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.31 Metropolitan Providence Interstate Air Quality Control Region. The Metropolitan Providence Interstate Air Quality Control Region (Rhode Island-Massachusetts) consists of the...

  11. 40 CFR 81.75 - Metropolitan Charlotte Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.75 Metropolitan Charlotte Interstate Air Quality Control Region. The Metropolitan Charlotte Interstate Air Quality Control Region (North Carolina-South Carolina) has been revised...

  12. 40 CFR 81.16 - Metropolitan Denver Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.16 Metropolitan Denver Intrastate Air Quality Control Region. The Metropolitan Denver Intrastate Air Quality Control Region (Colorado) consists of the territorial area...

  13. 40 CFR 81.24 - Niagara Frontier Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.24 Niagara Frontier Intrastate Air Quality Control Region. The Niagara Frontier Intrastate Air Quality Control Region (New York) consists of the territorial area...

  14. 40 CFR 81.43 - Metropolitan Toledo Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.43 Metropolitan Toledo Interstate Air Quality Control Region. The Metropolitan Toledo Interstate Air Quality Control Region (Ohio-Michigan) consists of the territorial area...

  15. 40 CFR 81.62 - Northeast Mississippi Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.62 Northeast Mississippi Intrastate Air Quality Control Region. The Alabama-Mississippi-Tennessee Interstate Air Quality Control Region has been renamed the Northeast...

  16. 40 CFR 81.16 - Metropolitan Denver Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.16 Metropolitan Denver Intrastate Air Quality Control Region. The Metropolitan Denver Intrastate Air Quality Control Region (Colorado) consists of the territorial area...

  17. 40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control Region has been renamed the Central Oklahoma Intrastate...

  18. 40 CFR 81.31 - Metropolitan Providence Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.31 Metropolitan Providence Interstate Air Quality Control Region. The Metropolitan Providence Interstate Air Quality Control Region (Rhode Island-Massachusetts) consists of the...

  19. 40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality Control Region is redesignated to consist of the territorial...

  20. 40 CFR 81.16 - Metropolitan Denver Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.16 Metropolitan Denver Intrastate Air Quality Control Region. The Metropolitan Denver Intrastate Air Quality Control Region (Colorado) consists of the territorial area...

  1. 40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.79 Northeastern Oklahoma Intrastate Air Quality Control Region. The Metropolitan Tulsa Intrastate Air Quality Control Region has been renamed the Northeastern Oklahoma Intrastate...

  2. 40 CFR 81.30 - Southeastern Wisconsin Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.30 Southeastern Wisconsin Intrastate Air Quality Control Region. The Metropolitan Milwaukee Intrastate Air Quality Control Region (Wisconsin) has been renamed the Southeastern...

  3. 40 CFR 81.31 - Metropolitan Providence Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.31 Metropolitan Providence Interstate Air Quality Control Region. The Metropolitan Providence Interstate Air Quality Control Region (Rhode Island-Massachusetts) consists of the...

  4. 40 CFR 81.62 - Northeast Mississippi Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.62 Northeast Mississippi Intrastate Air Quality Control Region. The Alabama-Mississippi-Tennessee Interstate Air Quality Control Region has been renamed the Northeast...

  5. 40 CFR 81.28 - Metropolitan Baltimore Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.28 Metropolitan Baltimore Intrastate Air Quality Control Region. The Metropolitan Baltimore Intrastate Air Quality Control Region (Maryland) consists of the territorial area...

  6. 40 CFR 81.78 - Metropolitan Portland Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.78 Metropolitan Portland Intrastate Air Quality Control Region. The Metropolitan Portland Intrastate Air Quality Control Region (Maine) consists of the territorial area...

  7. 40 CFR 81.78 - Metropolitan Portland Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.78 Metropolitan Portland Intrastate Air Quality Control Region. The Metropolitan Portland Intrastate Air Quality Control Region (Maine) consists of the territorial area...

  8. 40 CFR 81.28 - Metropolitan Baltimore Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.28 Metropolitan Baltimore Intrastate Air Quality Control Region. The Metropolitan Baltimore Intrastate Air Quality Control Region (Maryland) consists of the territorial area...

  9. 40 CFR 81.62 - Northeast Mississippi Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.62 Northeast Mississippi Intrastate Air Quality Control Region. The Alabama-Mississippi-Tennessee Interstate Air Quality Control Region has been renamed the Northeast...

  10. 40 CFR 81.28 - Metropolitan Baltimore Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.28 Metropolitan Baltimore Intrastate Air Quality Control Region. The Metropolitan Baltimore Intrastate Air Quality Control Region (Maryland) consists of the territorial area...

  11. 40 CFR 81.30 - Southeastern Wisconsin Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.30 Southeastern Wisconsin Intrastate Air Quality Control Region. The Metropolitan Milwaukee Intrastate Air Quality Control Region (Wisconsin) has been renamed the Southeastern...

  12. 40 CFR 81.43 - Metropolitan Toledo Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.43 Metropolitan Toledo Interstate Air Quality Control Region. The Metropolitan Toledo Interstate Air Quality Control Region (Ohio-Michigan) consists of the territorial area...

  13. 40 CFR 81.24 - Niagara Frontier Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.24 Niagara Frontier Intrastate Air Quality Control Region. The Niagara Frontier Intrastate Air Quality Control Region (New York) consists of the territorial area...

  14. 40 CFR 81.29 - Metropolitan Indianapolis Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Air Quality Control Region. 81.29 Section 81.29 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.29 Metropolitan Indianapolis Intrastate Air Quality Control...

  15. 40 CFR 81.31 - Metropolitan Providence Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.31 Metropolitan Providence Interstate Air Quality Control Region. The Metropolitan Providence Interstate Air Quality Control Region (Rhode Island-Massachusetts) consists of the...

  16. 40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control Region has been renamed the Central Oklahoma Intrastate...

  17. 40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality Control Region is redesignated to consist of the territorial...

  18. 40 CFR 81.29 - Metropolitan Indianapolis Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Air Quality Control Region. 81.29 Section 81.29 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.29 Metropolitan Indianapolis Intrastate Air Quality Control...

  19. 40 CFR 81.44 - Metropolitan Memphis Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.44 Metropolitan Memphis Interstate Air Quality Control Region. The Metropolitan Memphis Interstate Air Quality Control Region (Arkansas-Mississippi-Tennessee) consists of the...

  20. 40 CFR 81.30 - Southeastern Wisconsin Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.30 Southeastern Wisconsin Intrastate Air Quality Control Region. The Metropolitan Milwaukee Intrastate Air Quality Control Region (Wisconsin) has been renamed the Southeastern...

  1. 40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control Region has been renamed the Central Oklahoma Intrastate...

  2. 40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality Control Region is redesignated to consist of the territorial...

  3. 40 CFR 81.43 - Metropolitan Toledo Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.43 Metropolitan Toledo Interstate Air Quality Control Region. The Metropolitan Toledo Interstate Air Quality Control Region (Ohio-Michigan) consists of the territorial area...

  4. 40 CFR 81.30 - Southeastern Wisconsin Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.30 Southeastern Wisconsin Intrastate Air Quality Control Region. The Metropolitan Milwaukee Intrastate Air Quality Control Region (Wisconsin) has been renamed the Southeastern...

  5. 40 CFR 81.24 - Niagara Frontier Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.24 Niagara Frontier Intrastate Air Quality Control Region. The Niagara Frontier Intrastate Air Quality Control Region (New York) consists of the territorial area...

  6. 40 CFR 81.43 - Metropolitan Toledo Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.43 Metropolitan Toledo Interstate Air Quality Control Region. The Metropolitan Toledo Interstate Air Quality Control Region (Ohio-Michigan) consists of the territorial area...

  7. 40 CFR 81.75 - Metropolitan Charlotte Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.75 Metropolitan Charlotte Interstate Air Quality Control Region. The Metropolitan Charlotte Interstate Air Quality Control Region (North Carolina-South Carolina) has been revised...

  8. 40 CFR 81.28 - Metropolitan Baltimore Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.28 Metropolitan Baltimore Intrastate Air Quality Control Region. The Metropolitan Baltimore Intrastate Air Quality Control Region (Maryland) consists of the territorial area...

  9. 40 CFR 81.29 - Metropolitan Indianapolis Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Air Quality Control Region. 81.29 Section 81.29 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.29 Metropolitan Indianapolis Intrastate Air Quality Control...

  10. 40 CFR 81.19 - Metropolitan Boston Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.19 Metropolitan Boston Intrastate Air Quality Control Region. The Metropolitan Boston Intrastate Air Quality Control Region (Massachusetts) consists of the territorial area...

  11. 40 CFR 81.19 - Metropolitan Boston Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.19 Metropolitan Boston Intrastate Air Quality Control Region. The Metropolitan Boston Intrastate Air Quality Control Region (Massachusetts) consists of the territorial area...

  12. 40 CFR 81.44 - Metropolitan Memphis Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.44 Metropolitan Memphis Interstate Air Quality Control Region. The Metropolitan Memphis Interstate Air Quality Control Region (Arkansas-Mississippi-Tennessee) consists of the...

  13. 40 CFR 81.24 - Niagara Frontier Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.24 Niagara Frontier Intrastate Air Quality Control Region. The Niagara Frontier Intrastate Air Quality Control Region (New York) consists of the territorial area...

  14. 40 CFR 81.16 - Metropolitan Denver Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.16 Metropolitan Denver Intrastate Air Quality Control Region. The Metropolitan Denver Intrastate Air Quality Control Region (Colorado) consists of the territorial area...

  15. 40 CFR 81.19 - Metropolitan Boston Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.19 Metropolitan Boston Intrastate Air Quality Control Region. The Metropolitan Boston Intrastate Air Quality Control Region (Massachusetts) consists of the territorial area...

  16. 40 CFR 81.23 - Southwest Pennsylvania Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.23 Southwest Pennsylvania Intrastate Air Quality Control Region. The Southwest Pennsylvania Intrastate Air Quality Control Region is redesignated to consist of the territorial...

  17. 40 CFR 81.19 - Metropolitan Boston Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.19 Metropolitan Boston Intrastate Air Quality Control Region. The Metropolitan Boston Intrastate Air Quality Control Region (Massachusetts) consists of the territorial area...

  18. 40 CFR 81.87 - Metropolitan Boise Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.87 Metropolitan Boise Intrastate Air Quality Control Region. The Metropolitan Boise Intrastate Air Quality Control Region (Idaho) consists of the territorial area encompassed...

  19. 40 CFR 81.47 - Central Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.47 Central Oklahoma Intrastate Air Quality Control Region. The Metropolitan Oklahoma Intrastate Air Quality Control Region has been renamed the Central Oklahoma Intrastate...

  20. 40 CFR 81.75 - Metropolitan Charlotte Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.75 Metropolitan Charlotte Interstate Air Quality Control Region. The Metropolitan Charlotte Interstate Air Quality Control Region (North Carolina-South Carolina) has been revised...

  1. 40 CFR 81.29 - Metropolitan Indianapolis Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Air Quality Control Region. 81.29 Section 81.29 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.29 Metropolitan Indianapolis Intrastate Air Quality Control...

  2. 40 CFR 81.79 - Northeastern Oklahoma Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.79 Northeastern Oklahoma Intrastate Air Quality Control Region. The Metropolitan Tulsa Intrastate Air Quality Control Region has been renamed the Northeastern Oklahoma Intrastate...

  3. 40 CFR 81.44 - Metropolitan Memphis Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.44 Metropolitan Memphis Interstate Air Quality Control Region. The Metropolitan Memphis Interstate Air Quality Control Region (Arkansas-Mississippi-Tennessee) consists of the...

  4. 40 CFR 81.31 - Metropolitan Providence Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.31 Metropolitan Providence Interstate Air Quality Control Region. The Metropolitan Providence Interstate Air Quality Control Region (Rhode Island-Massachusetts) consists of the...

  5. 40 CFR 81.44 - Metropolitan Memphis Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.44 Metropolitan Memphis Interstate Air Quality Control Region. The Metropolitan Memphis Interstate Air Quality Control Region (Arkansas-Mississippi-Tennessee) consists of the...

  6. CADDIS Volume 4. Data Analysis: Advanced Analyses - Controlling for Natural Variability

    EPA Pesticide Factsheets

    Methods for controlling natural variability, predicting environmental conditions from biological observations method, biological trait data, species sensitivity distributions, propensity scores, Advanced Analyses of Data Analysis references.

  7. Defining the best quality-control systems by design and inspection.

    PubMed

    Hinckley, C M

    1997-05-01

    Not all of the many approaches to quality control are equally effective. Nonconformities in laboratory testing are caused basically by excessive process variation and mistakes. Statistical quality control can effectively control process variation, but it cannot detect or prevent most mistakes. Because mistakes or blunders are frequently the dominant source of nonconformities, we conclude that statistical quality control by itself is not effective. I explore the 100% inspection methods essential for controlling mistakes. Unlike the inspection techniques that Deming described as ineffective, the new "source" inspection methods can detect mistakes and enable corrections before nonconformities are generated, achieving the highest degree of quality at a fraction of the cost of traditional methods. Key relationships between task complexity and nonconformity rates are also described, along with cultural changes that are essential for implementing the best quality-control practices.

  8. 30 CFR 28.31 - Quality control plans; contents.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 28.31 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR TESTING... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.31 Quality control plans; contents. (a... Specification MIL-F-15160D is available for examination at the U.S. Department of Labor, Mine Safety and Health...

  9. 30 CFR 28.31 - Quality control plans; contents.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 28.31 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR TESTING... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.31 Quality control plans; contents. (a... Specification MIL-F-15160D is available for examination at the U.S. Department of Labor, Mine Safety and Health...

  10. 30 CFR 28.31 - Quality control plans; contents.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 28.31 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR TESTING... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.31 Quality control plans; contents. (a... Specification MIL-F-15160D is available for examination at the U.S. Department of Labor, Mine Safety and Health...

  11. 30 CFR 28.31 - Quality control plans; contents.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 28.31 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR TESTING... PROTECTION FOR TRAILING CABLES IN COAL MINES Quality Control § 28.31 Quality control plans; contents. (a... Specification MIL-F-15160D is available for examination at the U.S. Department of Labor, Mine Safety and Health...

  12. 40 CFR 81.49 - Southeast Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.49 Southeast Florida Intrastate Air Quality Control Region. The Southeast Florida Intrastate Air Quality Control Region is redesignated to consist of the territorial area...

  13. 40 CFR 81.20 - Metropolitan Cincinnati Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.20 Metropolitan Cincinnati Interstate Air Quality Control Region. The Metropolitan Cincinnati Interstate Air Quality Control Region (Ohio-Kentucky-Indiana) is revised to consist of...

  14. 40 CFR 81.59 - Cumberland-Keyser Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.59 Cumberland-Keyser Interstate Air Quality Control Region. The Cumberland-Keyser Interstate Air Quality Control Region (Maryland-West Virginia) has been revised to consist...

  15. 40 CFR 81.14 - Metropolitan Chicago Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.14 Metropolitan Chicago Interstate Air Quality Control Region. The Metropolitan Chicago Interstate Air Quality Control Region (Illinois-Indiana) is revised to consist of the...

  16. 40 CFR 81.45 - Metropolitan Atlanta Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.45 Metropolitan Atlanta Intrastate Air Quality Control Region. The Metropolitan Atlanta Intrastate Air Quality Control Region (Georgia) has been revised to consist of the...

  17. 40 CFR 81.41 - Metropolitan Birmingham Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.41 Metropolitan Birmingham Intrastate Air Quality Control Region. The Metropolitan Birmingham Intrastate Air Quality Control Region (Alabama) has been revised to consist of the...

  18. 40 CFR 81.34 - Metropolitan Dayton Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.34 Metropolitan Dayton Intrastate Air Quality Control Region. The Metropolitan Dayton Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  19. 40 CFR 81.45 - Metropolitan Atlanta Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.45 Metropolitan Atlanta Intrastate Air Quality Control Region. The Metropolitan Atlanta Intrastate Air Quality Control Region (Georgia) has been revised to consist of the...

  20. 40 CFR 81.34 - Metropolitan Dayton Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.34 Metropolitan Dayton Intrastate Air Quality Control Region. The Metropolitan Dayton Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  1. 40 CFR 81.45 - Metropolitan Atlanta Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.45 Metropolitan Atlanta Intrastate Air Quality Control Region. The Metropolitan Atlanta Intrastate Air Quality Control Region (Georgia) has been revised to consist of the...

  2. 40 CFR 81.41 - Metropolitan Birmingham Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.41 Metropolitan Birmingham Intrastate Air Quality Control Region. The Metropolitan Birmingham Intrastate Air Quality Control Region (Alabama) has been revised to consist of the...

  3. 40 CFR 81.34 - Metropolitan Dayton Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.34 Metropolitan Dayton Intrastate Air Quality Control Region. The Metropolitan Dayton Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  4. 40 CFR 81.41 - Metropolitan Birmingham Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.41 Metropolitan Birmingham Intrastate Air Quality Control Region. The Metropolitan Birmingham Intrastate Air Quality Control Region (Alabama) has been revised to consist of the...

  5. 40 CFR 81.20 - Metropolitan Cincinnati Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.20 Metropolitan Cincinnati Interstate Air Quality Control Region. The Metropolitan Cincinnati Interstate Air Quality Control Region (Ohio-Kentucky-Indiana) is revised to consist of...

  6. 40 CFR 81.34 - Metropolitan Dayton Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.34 Metropolitan Dayton Intrastate Air Quality Control Region. The Metropolitan Dayton Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  7. 40 CFR 81.59 - Cumberland-Keyser Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.59 Cumberland-Keyser Interstate Air Quality Control Region. The Cumberland-Keyser Interstate Air Quality Control Region (Maryland-West Virginia) has been revised to consist...

  8. 40 CFR 81.49 - Southeast Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.49 Southeast Florida Intrastate Air Quality Control Region. The Southeast Florida Intrastate Air Quality Control Region is redesignated to consist of the territorial area...

  9. 40 CFR 81.49 - Southeast Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.49 Southeast Florida Intrastate Air Quality Control Region. The Southeast Florida Intrastate Air Quality Control Region is redesignated to consist of the territorial area...

  10. 40 CFR 81.41 - Metropolitan Birmingham Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.41 Metropolitan Birmingham Intrastate Air Quality Control Region. The Metropolitan Birmingham Intrastate Air Quality Control Region (Alabama) has been revised to consist of the...

  11. 40 CFR 81.41 - Metropolitan Birmingham Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.41 Metropolitan Birmingham Intrastate Air Quality Control Region. The Metropolitan Birmingham Intrastate Air Quality Control Region (Alabama) has been revised to consist of the...

  12. 40 CFR 81.34 - Metropolitan Dayton Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.34 Metropolitan Dayton Intrastate Air Quality Control Region. The Metropolitan Dayton Intrastate Air Quality Control Region consists of the territorial area encompassed by the...

  13. 40 CFR 81.49 - Southeast Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.49 Southeast Florida Intrastate Air Quality Control Region. The Southeast Florida Intrastate Air Quality Control Region is redesignated to consist of the territorial area...

  14. 40 CFR 81.45 - Metropolitan Atlanta Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.45 Metropolitan Atlanta Intrastate Air Quality Control Region. The Metropolitan Atlanta Intrastate Air Quality Control Region (Georgia) has been revised to consist of the...

  15. 40 CFR 81.59 - Cumberland-Keyser Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.59 Cumberland-Keyser Interstate Air Quality Control Region. The Cumberland-Keyser Interstate Air Quality Control Region (Maryland-West Virginia) has been revised to consist...

  16. 40 CFR 81.20 - Metropolitan Cincinnati Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.20 Metropolitan Cincinnati Interstate Air Quality Control Region. The Metropolitan Cincinnati Interstate Air Quality Control Region (Ohio-Kentucky-Indiana) is revised to consist of...

  17. 40 CFR 81.20 - Metropolitan Cincinnati Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.20 Metropolitan Cincinnati Interstate Air Quality Control Region. The Metropolitan Cincinnati Interstate Air Quality Control Region (Ohio-Kentucky-Indiana) is revised to consist of...

  18. 40 CFR 81.14 - Metropolitan Chicago Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.14 Metropolitan Chicago Interstate Air Quality Control Region. The Metropolitan Chicago Interstate Air Quality Control Region (Illinois-Indiana) is revised to consist of the...

  19. 40 CFR 81.14 - Metropolitan Chicago Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.14 Metropolitan Chicago Interstate Air Quality Control Region. The Metropolitan Chicago Interstate Air Quality Control Region (Illinois-Indiana) is revised to consist of the...

  20. 40 CFR 81.49 - Southeast Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.49 Southeast Florida Intrastate Air Quality Control Region. The Southeast Florida Intrastate Air Quality Control Region is redesignated to consist of the territorial area...

  1. 40 CFR 81.14 - Metropolitan Chicago Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.14 Metropolitan Chicago Interstate Air Quality Control Region. The Metropolitan Chicago Interstate Air Quality Control Region (Illinois-Indiana) is revised to consist of the...

  2. 40 CFR 81.20 - Metropolitan Cincinnati Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.20 Metropolitan Cincinnati Interstate Air Quality Control Region. The Metropolitan Cincinnati Interstate Air Quality Control Region (Ohio-Kentucky-Indiana) is revised to consist of...

  3. 40 CFR 81.59 - Cumberland-Keyser Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.59 Cumberland-Keyser Interstate Air Quality Control Region. The Cumberland-Keyser Interstate Air Quality Control Region (Maryland-West Virginia) has been revised to consist...

  4. 40 CFR 81.14 - Metropolitan Chicago Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.14 Metropolitan Chicago Interstate Air Quality Control Region. The Metropolitan Chicago Interstate Air Quality Control Region (Illinois-Indiana) is revised to consist of the...

  5. 40 CFR 81.45 - Metropolitan Atlanta Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.45 Metropolitan Atlanta Intrastate Air Quality Control Region. The Metropolitan Atlanta Intrastate Air Quality Control Region (Georgia) has been revised to consist of the...

  6. 40 CFR 81.59 - Cumberland-Keyser Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.59 Cumberland-Keyser Interstate Air Quality Control Region. The Cumberland-Keyser Interstate Air Quality Control Region (Maryland-West Virginia) has been revised to consist...

  7. Effectiveness Comparison of TxDOT Quality Control/Quality Assurance and Method Specifications

    DOT National Transportation Integrated Search

    1998-12-01

    Original Report date: October 1997. This is the first and final report for research project 0-1721, "Effectiveness Comparison of TxDOT Quality Control/Quality Assurance and Method Specifications." This study was established and sponsored by TxDOT to ...

  8. 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...

  9. Prepotent response inhibition and interference control in autism spectrum disorders: two meta-analyses.

    PubMed

    Geurts, Hilde M; van den Bergh, Sanne F W M; Ruzzano, Laura

    2014-08-01

    There is a substantial amount of data providing evidence for, but also against the hypothesis that individuals with autism spectrum disorders (ASD) encounter inhibitory control deficits. ASD is often associated with interference control deficits rather than prepotent response inhibition. Moreover, the developmental trajectory for these inhibitory control processes is hypothesized to differ in ASD as compared to typical development. In efforts to gain a more comprehensive perspective of inhibition in ASD, separate quantitative analysis for prepotent response inhibition studies and interference control studies were conducted. Together, these two meta-analyses included 41 studies with a combined sample size of 1,091 people with ASD (M age 14.8 years), and 1,306 typically developing (TD) controls (M age 13.8 years).The meta-analyses indicated that individuals with ASD show increased difficulties in prepotent response inhibition (effect size 0.55) and in interference control (effect size 0.31). In addition, age was a relevant moderator for prepotent response inhibition but not for interference control. Exploratory analyses revealed that when IQ was taken into account, heterogeneity considerably decreased among interference control studies but not among prepotent response inhibition. In contrast to the general belief, both prepotent response inhibition and interference control problems were observed in individuals with ASD. However, a large variation between studies was also found. Therefore, there remain factors beyond inhibition type, age, or IQ that significantly influence inhibitory control performance among individuals with ASD. © 2014 International Society for Autism Research, Wiley Periodicals, Inc.

  10. [Analyses of cosmetic sanitary quality in Hunan Province in 2010].

    PubMed

    Liu, Yanhong; Sun, Zhenqiu; Shi, Jingcheng; Shen, Minxue; Hu, Jingxuan; Lei, Shiyue; Hu, Ming

    2012-05-01

    To establish a scientific foundation for cosmetic supervision and administration based on the analysis of the sanitary quality of cosmetics in Hunan Province during 2010. According to Cosmetic Sanitary Standards (set by the Ministry of Health, People's Republic of China), 150 random samples of cosmetics in Hunan were assayed both for microbial items (including total plate count, fungus and yeast, fecal coliform, staphylococcus aureus, pseudomonas aeruginosa) and chemical items (including 17 kinds of prohibited substances and 14 kinds of restricted substances). The total rate of cosmetics failing to meet the standards was 22.0% of the 150 samples; specific rates for failing perfumes, skin care products (eye cream) and deodorant products were, relatively, 70.6%, 60.00%, and 44.4%. Four kinds of prohibited substances, including diethyl phthalate, acrylamide, asbestos and neodymium, as well as 2 kinds of restricted substances, including triclosan and formaldehyde, were found to exceed standards. None of microbial items exceeded standard levels. The sanitary quality control of cosmetics is lax. Administrative departments should not only reinforce their post-production supervision with respect to cosmetics, but also consolidate their control over the process of cosmetic production in order to solve the problem of toxic residues or illegal and intentional adulterations.

  11. 40 CFR 81.48 - Champlain Valley Interstate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.48 Champlain Valley Interstate Air Quality Control Region. The Champlain Valley Interstate Air Quality Control Region (Vermont-New York) has been revised to consist of the...

  12. 40 CFR 81.48 - Champlain Valley Interstate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.48 Champlain Valley Interstate Air Quality Control Region. The Champlain Valley Interstate Air Quality Control Region (Vermont-New York) has been revised to consist of the...

  13. 40 CFR 81.48 - Champlain Valley Interstate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.48 Champlain Valley Interstate Air Quality Control Region. The Champlain Valley Interstate Air Quality Control Region (Vermont-New York) has been revised to consist of the...

  14. 40 CFR 81.48 - Champlain Valley Interstate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.48 Champlain Valley Interstate Air Quality Control Region. The Champlain Valley Interstate Air Quality Control Region (Vermont-New York) has been revised to consist of the...

  15. 40 CFR 81.48 - Champlain Valley Interstate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... (CONTINUED) AIR PROGRAMS (CONTINUED) DESIGNATION OF AREAS FOR AIR QUALITY PLANNING PURPOSES Designation of Air Quality Control Regions § 81.48 Champlain Valley Interstate Air Quality Control Region. The Champlain Valley Interstate Air Quality Control Region (Vermont-New York) has been revised to consist of the...

  16. 7 CFR 58.442 - Laboratory and quality control tests.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Laboratory and quality control tests. 58.442 Section... Service 1 Operations and Operating Procedures § 58.442 Laboratory and quality control tests. (a) Chemical... Methods or by other methods giving equivalent results. (b) Weight or volume control. Representative...

  17. 7 CFR 58.442 - Laboratory and quality control tests.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 3 2011-01-01 2011-01-01 false Laboratory and quality control tests. 58.442 Section... Service 1 Operations and Operating Procedures § 58.442 Laboratory and quality control tests. (a) Chemical... Methods or by other methods giving equivalent results. (b) Weight or volume control. Representative...

  18. A critical appraisal of the reporting quality of published randomized controlled trials in the fall injuries.

    PubMed

    Asghari Jafarabadi, Mohammad; Sadeghi-Bazrgani, Homayoun; Dianat, Iman

    2018-06-01

    To evaluate the quality of reporting in published randomized controlled trials (RTCs) in the field of fall injuries. The 188 RTCs published between 2001 and 2011, indexed in EMBASE and Medline databases were extracted through searching by appropriate keywords and EMTree classification terms. The evaluation trustworthiness was assured through parallel evaluations of two experts in epidemiology and biostatistics. About 40%-75% of papers had problems in reporting random allocation method, allocation concealment, random allocation implementation, blinding and similarity among groups, intention to treat and balancing benefits and harms. Moreover, at least 10% of papers inappropriately/not reported the design, protocol violations, sample size justification, subgroup/adjusted analyses, presenting flow diagram, drop outs, recruitment time, baseline data, suitable effect size on outcome, ancillary analyses, limitations and generalizability. Considering the shortcomings found and due to the importance of the RCTs for fall injury prevention programmes, their reporting quality should be improved.

  19. Quality Control of Meteorological Observations

    NASA Technical Reports Server (NTRS)

    Collins, William; Dee, Dick; Rukhovets, Leonid

    1999-01-01

    For the first time, a problem of the meteorological observation quality control (QC) was formulated by L.S. Gandin at the Main Geophysical Observatory in the 70's. Later in 1988 L.S. Gandin began adapting his ideas in complex quality control (CQC) to the operational environment at the National Centers for Environmental Prediction. The CQC was first applied by L.S.Gandin and his colleagues to detection and correction of errors in rawinsonde heights and temperatures using a complex of hydrostatic residuals.Later, a full complex of residuals, vertical and horizontal optimal interpolations and baseline checks were added for the checking and correction of a wide range of meteorological variables. some other of Gandin's ideas were applied and substantially developed at other meteorological centers. A new statistical QC was recently implemented in the Goddard Data Assimilation System. The central component of any quality control is a buddy check which is a test of individual suspect observations against available nearby non-suspect observations. A novel feature of this test is that the error variances which are used for QC decision are re-estimated on-line. As a result, the allowed tolerances for suspect observations can depend on local atmospheric conditions. The system is then better able to accept extreme values observed in deep cyclones, jet streams and so on. The basic statements of this adaptive buddy check are described. Some results of the on-line QC including moisture QC are presented.

  20. Associations between chronotype, sleep quality, suicidality, and depressive symptoms in patients with major depression and healthy controls.

    PubMed

    Selvi, Yavuz; Aydin, Adem; Boysan, Murat; Atli, Abdullah; Agargun, Mehmed Yucel; Besiroglu, Lutfullah

    2010-10-01

    Research interest concerning associations between sleep characteristics and suicidality in psychopathology has been growing. However, possible linkages of suicidality to sleep characteristics in terms of sleep quality and chronotypes among depressive patients have not been well documented. In the current study, the authors investigated the possible effects of sleep quality and chronotype on the severity of depressive symptoms and suicide risk in patients with depressive disorder and healthy controls. The study was conducted on 80 patients clinically diagnosed with major depression and 80 healthy subjects who were demographically matched with the patient group. All participants completed a questionnaire package containing self-report measures, including the Beck Depression Inventory (BDI), Pittsburgh Sleep Quality Index (PSQI), Morningness-Eveningness Questionnaire (MEQ), and Suicide Ideation Scale (SIS), and subjects were interviewed with the suicidality section of the Mini-International Neuropsychiatric Interview (MINI). Results are as follows: (a) logistic regression analyses revealed that poor sleep quality and depression symptom severity significantly predicted onset of major depression; (b) morningness-type circadian rhythm may play as a significant relief factor after onset of major depression; (c) sleep variables of chronotype and sleep quality did not significantly predict suicide ideation after controlling for depressive symptoms in the major depression group; and (d) suicide ideation and poor sleep quality were antecedents of depression symptom severity in patients with major depression, and in healthy controls. Findings are discussed under the theoretical assumptions concerning possible relations between chronotype, sleep quality, depression, and suicidality.

  1. 40 CFR 81.110 - Camden-Sumter Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.110 Camden-Sumter Intrastate Air Quality Control Region. The Camden-Sumter Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Camden-Sumter Intrastate Air Quality...

  2. 40 CFR 81.95 - Central Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.95 Central Florida Intrastate Air Quality Control Region. The Central Florida Intrastate Air Quality Control Region consists of the territorial area encompassed by the boundaries of the... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Central Florida Intrastate Air Quality...

  3. 40 CFR 81.110 - Camden-Sumter Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.110 Camden-Sumter Intrastate Air Quality Control Region. The Camden-Sumter Intrastate Air Quality Control Region (South Carolina) consists of the territorial area encompassed by the... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Camden-Sumter Intrastate Air Quality...

  4. 40 CFR 81.95 - Central Florida Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.95 Central Florida Intrastate Air Quality Control Region. The Central Florida Intrastate Air Quality Control Region consists of the territorial area encompassed by the boundaries of the... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Central Florida Intrastate Air Quality...

  5. 40 CFR 81.202 - Northwest Ohio Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Northwest Ohio Intrastate Air Quality... Quality Control Regions § 81.202 Northwest Ohio Intrastate Air Quality Control Region. The Northwest Ohio Intrastate Air Quality Control Region (Ohio) consists of the territorial area encompassed by the boundaries...

  6. Multi-pollutant surface objective analyses and mapping of air quality health index over North America.

    PubMed

    Robichaud, Alain; Ménard, Richard; Zaïtseva, Yulia; Anselmo, David

    2016-01-01

    Air quality, like weather, can affect everyone, but responses differ depending on the sensitivity and health condition of a given individual. To help protect exposed populations, many countries have put in place real-time air quality nowcasting and forecasting capabilities. We present in this paper an optimal combination of air quality measurements and model outputs and show that it leads to significant improvements in the spatial representativeness of air quality. The product is referred to as multi-pollutant surface objective analyses (MPSOAs). Moreover, based on MPSOA, a geographical mapping of the Canadian Air Quality Health Index (AQHI) is also presented which provides users (policy makers, public, air quality forecasters, and epidemiologists) with a more accurate picture of the health risk anytime and anywhere in Canada and the USA. Since pollutants can also behave as passive atmospheric tracers, they provide information about transport and dispersion and, hence, reveal synoptic and regional meteorological phenomena. MPSOA could also be used to build air pollution climatology, compute local and national trends in air quality, and detect systematic biases in numerical air quality (AQ) models. Finally, initializing AQ models at regular time intervals with MPSOA can produce more accurate air quality forecasts. It is for these reasons that the Canadian Meteorological Centre (CMC) in collaboration with the Air Quality Research Division (AQRD) of Environment Canada has recently implemented MPSOA in their daily operations.

  7. Five Librarians Talk about Quality Control and the OCLC Database.

    ERIC Educational Resources Information Center

    Helge, Brian; And Others

    1987-01-01

    Five librarians considered authorities on quality cataloging in the OCLC Online Union Catalog were interviewed to obtain their views on the current level of quality control in the OCLC database, the responsibilities of OCLC and individual libraries in improving the quality of records, and the consequences of quality control problems. (CLB)

  8. 40 CFR 81.80 - Las Vegas Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Quality Control Regions § 81.80 Las Vegas Intrastate Air Quality Control Region. The Las Vegas Intrastate Air Quality Control Region (Nevada) has been revised to consist of the territorial area encompassed by... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Las Vegas Intrastate Air Quality...

  9. 40 CFR 81.80 - Las Vegas Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Quality Control Regions § 81.80 Las Vegas Intrastate Air Quality Control Region. The Las Vegas Intrastate Air Quality Control Region (Nevada) has been revised to consist of the territorial area encompassed by... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Las Vegas Intrastate Air Quality...

  10. [Study thought of pharmaceutical preparations quality standards by dynamic quality control technology].

    PubMed

    Yu, Dan-Hong; Mao, Chen-Mei; Lv, Cheng-Zhe; Jin, Hui-Zhen; Yao, Xin; Jia, Xiao-Bin

    2014-07-01

    Pharmaceutical preparations, particularly as a "secret recipe" of traditional Chinese medicine in medical institutions, are the product of China's medical and health industry, and they are also an important means of competing of different medical institutions. Although pharmaceutical preparations have advantages and characteristics than institutes for drug and pharmaceutical companies, the quality standards of pharmaceutical preparations in medical institutions has not reached the desired level over the years. As we all know, the quality of pharmaceutical preparations is important to ensure the efficacy, especially under the environment of people pay more sttention on drug safety and effectiveness and contry increase emphasis on the stste of pharmaceutical preparations. In view of this, we will improve the grade, stability, and clinical efficacy of pharmaceutical preparations by the advanced equipment, testing instruments and the process dynamic quality control technology. Finally, we hope we can provide new ideas for the quality control of pharmaceutical preparations.

  11. Methods of Statistical Control for Groundwater Quality Indicators

    NASA Astrophysics Data System (ADS)

    Yankovich, E.; Nevidimova, O.; Yankovich, K.

    2016-06-01

    The article describes the results of conducted groundwater quality control. Controlled quality indicators included the following microelements - barium, manganese, iron, mercury, iodine, chromium, strontium, etc. Quality control charts - X-bar chart and R chart - were built. For the upper and the lower threshold limits, maximum permissible concentration of components in water and the lower limit of their biologically significant concentration, respectively, were selected. The charts analysis has shown that the levels of microelements content in water at the area of study are stable. Most elements in the underground water are contained in concentrations, significant for human organisms consuming the water. For example, such elements as Ba, Mn, Fe have concentrations that exceed maximum permissible levels for drinking water.

  12. An assessment of quality characteristics of randomised control trials published in dental journals.

    PubMed

    Pandis, Nikolaos; Polychronopoulou, Argy; Eliades, Theodore

    2010-09-01

    The purpose of this study was to investigate the quality of reporting of randomised clinical trials (RCTs) published in dental specialty journals. The journals possessing the highest impact factor (2008 data) in the six major dental specialties were included in the study. The contents of the 24 most recent issues of each journal were hand-searched and research articles identified as randomised controlled trials (RCTs) were selected. Quality evaluation was performed using the modified Consolidated Standards of Reporting Trials (CONSORT) statement checklist. The data were analysed using descriptive statistics followed by univariate and multivariate examination of statistical associations (alpha=0.05). Ninety-five RCTs were identified with generally suboptimal scores on quality reporting on key CONSORT areas. Significant differences were found among journals with the Journal of Clinical Periodontology achieving the highest score, followed by the American Journal of Orthodontics and Dentofacial Orthopedics. There was a positive association between quality score and number of authors, involvement of statistician/epidemiologist, and multicentre trials. The quality scores of RCTs in major dental journals are considered suboptimal in key CONSORT areas. This receives critical importance considering that improved quality of RCTs is a fundamental prerequisite for improved dental care. Copyright 2010 Elsevier Ltd. All rights reserved.

  13. Internal quality control in serological tests for syphilis.

    PubMed Central

    Wasley, G D

    1985-01-01

    The importance of syphilis serological tests demands that laboratory reports are reliable. Internal quality control applied to the organisation of a syphilis serology service improves laboratory bench performance and reporting. Described here are internal quality control procedures of a department that serves a genitourinary medicine clinic and conducts 70 000 tests a year to investigate for syphilis. PMID:3884487

  14. Introduction to Quality Control in a Compounding Pharmacy.

    PubMed

    Allen, Loyd V

    2016-01-01

    A quality-based program is vital in every compounding pharmacy to ensure that each preparation is compounded properly and is stable for its expected duration of use. This article discusses quality control, quality assurance, continuous quality improvement, and also describes the components of an in-house (in-pharmacy) quality program, as well as the role of outside laboratories. Copyright© by International Journal of Pharmaceutical Compounding, Inc.

  15. Epidemiology, quality, and reporting characteristics of systematic reviews and meta-analyses of nursing interventions published in Chinese journals.

    PubMed

    Zhang, Juxia; Wang, Jiancheng; Han, Lin; Zhang, Fengwa; Cao, Jianxun; Ma, Yuxia

    2015-01-01

    Systematic reviews (SRs) and meta-analyses (MAs) of nursing interventions have become increasingly popular in China. This review provides the first examination of epidemiological characteristics of these SRs as well as compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses and Assessment of Multiple Systematic Reviews guidelines. The purpose of this study was to examine epidemiologic and reporting characteristics as well as the methodologic quality of SRs and MAs of nursing interventions published in Chinese journals. Four Chinese databases were searched (the Chinese Biomedicine Literature Database, Chinese Scientific Journal Full-text Database, Chinese Journal Full-text Database, and Wanfang Database) for SRs and MAs of nursing intervention from inception through June 2013. Data were extracted into Excel (Microsoft, Redmond, WA). The Assessment of Multiple Systematic Reviews and Preferred Reporting Items for Systematic Reviews and Meta-analyses checklists were used to assess methodologic quality and reporting characteristics, respectively. A total of 144 SRs were identified, most (97.2%) of which used "systematic review" or "meta-analyses" in the titles. None of the reviews had been updated. Nearly half (41%) were written by nurses, and more than half (61%) were reported in specialist journals. The most common conditions studied were endocrine, nutritional and metabolic diseases, and neoplasms. Most (70.8%) reported information about quality assessment, whereas less than half (25%) reported assessing for publication bias. None of the reviews reported a conflict of interest. Although many SRs of nursing interventions have been published in Chinese journals, the quality of these reviews is of concern. As a potential key source of information for nurses and nursing administrators, not only were many of these reviews incomplete in the information they provided, but also some results were misleading. Improving the quality of SRs of

  16. In-line quality control of moving objects by means of spectral-domain OCT

    NASA Astrophysics Data System (ADS)

    Markl, Daniel; Hannesschläger, Günther; Buchsbaum, Andreas; Sacher, Stephan; Khinast, Johannes G.; Leitner, Michael

    2014-08-01

    In-line quality control of intermediate and final products is essential in various industries. This may imply determining the thickness of a foil or evaluating the homogeneity of coating applied to a pharmaceutical tablet. Such a qualitative and quantitative monitoring in a depth-resolved manner can be accomplished using optical coherence tomography (OCT). In-line quality control based on OCT requires additional consideration of motion effects for the system design as well as for data interpretation. This study focuses on transverse motion effects that can arise in spectral-domain (SD-) OCT systems. The impact of a transverse movement is analyzed for a constant relative speed difference up to 0.7 m/s between sample and sensor head. In particular, transverse motion is affecting OCT system properties such as the beam displacement (distance between adjacent A-scans) and transverse resolution. These properties were evaluated theoretically and experimentally for OCT images of a resolution target and pharmaceutical film-coated tablets. Both theoretical and experimental analyses highlight the shift of the transverse resolution limiting factor from the optics to the beam displacement above a relative speed difference between sensor head and sample of 0.42 m/s (for the presented SD-OCT setup). Speeds above 0.4 m/s are often demanded when monitoring industrial processes, such as a coating process when producing film-coated tablets. This emphasizes the importance of a fast data acquisition when using OCT as in-line quality control tool.

  17. USING MM5V3 WITH ETA ANALYSES FOR AIR-QUALITY MODELING AT THE EPA

    EPA Science Inventory

    Efforts have been underway since MM5v3 was released in July 1999 to set up air-quality simulations using Eta analyses as background fields. Our previous simulations used a one-way quadruple-nested set of domains with horizontal grid spacing of 108, 36, 12 and 4 km. With Eta a...

  18. Internal quality control indicators of cervical cytopathology exams performed in laboratories monitored by the External Quality Control Laboratory.

    PubMed

    Ázara, Cinara Zago Silveira; Manrique, Edna Joana Cláudio; Tavares, Suelene Brito do Nascimento; de Souza, Nadja Lindany Alves; Amaral, Rita Goreti

    2014-09-01

    To evaluate the impact of continued education provided by an external quality control laboratory on the indicators of internal quality control of cytopathology exams. The internal quality assurance indicators for cytopathology exams from 12 laboratories monitored by the External Quality Control Laboratory were evaluated. Overall, 185,194 exams were included, 98,133 of which referred to the period preceding implementation of a continued education program, while 87,061 referred to the period following this intervention. Data were obtained from the Cervical Cancer Database of the Brazilian National Health Service. Following implementation of the continued education program, the positivity index (PI) remained within recommended limits in four laboratories. In another four laboratories, the PI progressed from below the limits to within the recommended standards. In one laboratory, the PI remained low, in two laboratories, it remained very low, and in one, it increased from very low to low. The percentage of exams compatible with a high-grade squamous intraepithelial lesion (HSIL) remained within the recommended limits in five laboratories, while in three laboratories it progressed from below the recommended levels to >0.4% of the total number of satisfactory exams, and in four laboratories it remained below the standard limit. Both the percentage of atypical squamous cells of undetermined significance (ASC-US) in relation to abnormal exams, and the ratio between ASC-US and intraepithelial lesions remained within recommended levels in all the laboratories investigated. An improvement was found in the indicators represented by the positivity index and the percentage of exams compatible with a high-grade squamous intraepithelial lesion, showing that the role played by the external quality control laboratory in providing continued education contributed towards improving laboratory staff skills in detecting cervical cancer precursor lesions.

  19. Harmonisation Initiatives of Copernicus Data Quality Control

    NASA Astrophysics Data System (ADS)

    Vescovi, F. D.; Lankester, T.; Coleman, E.; Ottavianelli, G.

    2015-04-01

    The Copernicus Space Component Data Access system (CSCDA) incorporates data contributions from a wide range of satellite missions. Through EO data handling and distribution, CSCDA serves a set of Copernicus Services related to Land, Marine and Atmosphere Monitoring, Emergency Management and Security and Climate Change. The quality of the delivered EO products is the responsibility of each contributing mission, and the Copernicus data Quality Control (CQC) service supports and complements such data quality control activities. The mission of the CQC is to provide a service of quality assessment on the provided imagery, to support the investigation related to product quality anomalies, and to guarantee harmonisation and traceability of the quality information. In terms of product quality control, the CQC carries out analysis of representative sample products for each contributing mission as well as coordinating data quality investigation related to issues found or raised by Copernicus users. Results from the product analysis are systematically collected and the derived quality reports stored in a searchable database. The CQC service can be seen as a privileged focal point with unique comparison capacities over the data providers. The comparison among products from different missions suggests the need for a strong, common effort of harmonisation. Technical terms, definitions, metadata, file formats, processing levels, algorithms, cal/val procedures etc. are far from being homogeneous, and this may generate inconsistencies and confusion among users of EO data. The CSCDA CQC team plays a significant role in promoting harmonisation initiatives across the numerous contributing missions, so that a common effort can achieve optimal complementarity and compatibility among the EO data from multiple data providers. This effort is done in coordination with important initiatives already working towards these goals (e.g. INSPIRE directive, CEOS initiatives, OGC standards, QA4EO

  20. Internal quality assurance in a clinical virology laboratory. II. Internal quality control.

    PubMed Central

    Gray, J J; Wreghitt, T G; McKee, T A; McIntyre, P; Roth, C E; Smith, D J; Sutehall, G; Higgins, G; Geraghty, R; Whetstone, R

    1995-01-01

    AIMS--In April 1991 additional quality control procedures were introduced into the virology section of the Clinical Microbiology and Public Health Laboratory, Cambridge. Internal quality control (IQC) samples were gradually included in the serological assays performed in the laboratory and supplemented kit controls and standard sera. METHODS--From April 1991 to December 1993, 2421 IQC procedures were carried out with reference sera. RESULTS--The IQC samples were evaluated according to the Westgard rules. Violations were recorded in 60 of 1808 (3.3%) controls and were highest in the IQC samples of complement fixation tests (25/312 (8%) of controls submitted for complement fixation tests). CONCLUSIONS--The inclusion of IQC samples in the serological assays performed in the laboratory has highlighted batch to batch variation in commercial assays. The setting of acceptable limits for the IQC samples has increased confidence in the validity of assay results. PMID:7730475

  1. Quality Control for Interviews to Obtain Dietary Recalls from Children for Research Studies

    PubMed Central

    SHAFFER, NICOLE M.; THOMPSON, WILLIAM O.; BAGLIO, MICHELLE L.; GUINN, CAROLINE H.; FRYE, FRANCESCA H. A.

    2005-01-01

    Quality control is an important aspect of a study because the quality of data collected provides a foundation for the conclusions drawn from the study. For studies that include interviews, establishing quality control for interviews is critical in ascertaining whether interviews are conducted according to protocol. Despite the importance of quality control for interviews, few studies adequately document the quality control procedures used during data collection. This article reviews quality control for interviews and describes methods and results of quality control for interviews from two of our studies regarding the accuracy of children's dietary recalls; the focus is on quality control regarding interviewer performance during the interview, and examples are provided from studies with children. For our two studies, every interview was audio recorded and transcribed. The audio recording and typed transcript from one interview conducted by each research dietitian either weekly or daily were randomly selected and reviewed by another research dietitian, who completed a standardized quality control for interviews checklist. Major strengths of the methods of quality control for interviews in our two studies include: (a) interviews obtained for data collection were randomly selected for quality control for interviews, and (b) quality control for interviews was assessed on a regular basis throughout data collection. The methods of quality control for interviews described may help researchers design appropriate methods of quality control for interviews for future studies. PMID:15389417

  2. Audit and internal quality control in immunohistochemistry

    PubMed Central

    Maxwell, P; McCluggage, W

    2000-01-01

    Aims—Although positive and negative controls are performed and checked in surgical pathology cases undergoing immunohistochemistry, internal quality control procedures for immunohistochemistry are not well described. This study, comprising a retrospective audit, aims to describe a method of internal quality control for immunohistochemistry. A scoring system that allows comparison between cases is described. Methods—Two positive tissue controls for each month over a three year period (1996–1998) of the 10 antibodies used most frequently were evaluated. All test cases undergoing immunohistochemistry in the months of April in this three year period were also studied. When the test case was completely negative for a given antibody, the corresponding positive tissue control from that day was examined. A marking system was devised whereby each immunohistochemical slide was assessed out of a possible score of 8 to take account of staining intensity, uniformity, specificity, background, and counterstaining. Using this scoring system, cases were classified as showing optimal (7–8), borderline (5–6), or unacceptable (0–4) staining. Results—Most positive tissue controls showed either optimal or borderline staining with the exception of neurone specific enolase (NSE), where most slides were unacceptable or borderline as a result of a combination of low intensity, poor specificity, and excessive background staining. All test cases showed either optimal or borderline staining with the exception of a single case stained for NSE, which was unacceptable. Conclusions—This retrospective audit shows that immunohistochemically stained slides can be assessed using this scoring system. With most antibodies, acceptable staining was achieved in most cases. However, there were problems with staining for NSE, which needs to be reviewed. Laboratories should use a system such as this to evaluate which antibodies regularly result in poor staining so that they can be excluded

  3. 42 CFR 84.40 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality... proposed quality control plan which shall be designed to assure the quality of respiratory protection...

  4. 42 CFR 84.40 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality... proposed quality control plan which shall be designed to assure the quality of respiratory protection...

  5. 42 CFR 84.40 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality... proposed quality control plan which shall be designed to assure the quality of respiratory protection...

  6. 42 CFR 84.40 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality... proposed quality control plan which shall be designed to assure the quality of respiratory protection...

  7. 42 CFR 84.40 - Quality control plans; filing requirements.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... SAFETY AND HEALTH RESEARCH AND RELATED ACTIVITIES APPROVAL OF RESPIRATORY PROTECTIVE DEVICES Quality... proposed quality control plan which shall be designed to assure the quality of respiratory protection...

  8. An integrated bioinformatics approach to improve two-color microarray quality-control: impact on biological conclusions.

    PubMed

    van Haaften, Rachel I M; Luceri, Cristina; van Erk, Arie; Evelo, Chris T A

    2009-06-01

    Omics technology used for large-scale measurements of gene expression is rapidly evolving. This work pointed out the need of an extensive bioinformatics analyses for array quality assessment before and after gene expression clustering and pathway analysis. A study focused on the effect of red wine polyphenols on rat colon mucosa was used to test the impact of quality control and normalisation steps on the biological conclusions. The integration of data visualization, pathway analysis and clustering revealed an artifact problem that was solved with an adapted normalisation. We propose a possible point to point standard analysis procedure, based on a combination of clustering and data visualization for the analysis of microarray data.

  9. Effectiveness of acupuncture for cancer pain: protocol for an umbrella review and meta-analyses of controlled trials

    PubMed Central

    He, Yihan; Liu, Yihong; May, Brian H; Zhang, Anthony Lin; Zhang, Haibo; Lu, ChuanJian; Yang, Lihong; Guo, Xinfeng; Xue, Charlie Changli

    2017-01-01

    Introduction The National Comprehensive Cancer Network guidelines for adult cancer pain indicate that acupuncture and related therapies may be valuable additions to pharmacological interventions for pain management. Of the systematic reviews related to this topic, some concluded that acupuncture was promising for alleviating cancer pain, while others argued that the evidence was insufficient to support its effectiveness. Methods and analysis This review will consist of three components: (1) synthesis of findings from existing systematic reviews; (2) updated meta-analyses of randomised clinical trials and (3) analyses of results of other types of clinical studies. We will search six English and four Chinese biomedical databases, dissertations and grey literature to identify systematic reviews and primary clinical studies. Two reviewers will screen results of the literature searches independently to identify included reviews and studies. Data from included articles will be abstracted for assessment, analysis and summary. Two assessors will appraise the quality of systematic reviews using Assessment of Multiple Systematic Reviews; assess the randomised controlled trials using the Cochrane Collaboration’s risk of bias tool and other types of studies according to the Newcastle-Ottawa Scale. We will use ‘summary of evidence’ tables to present evidence from existing systematic reviews and meta-analyses. Using the primary clinical studies, we will conduct meta-analysis for each outcome, by grouping studies based on the type of acupuncture, the comparator and the specific type of pain. Sensitivity analyses are planned according to clinical factors, acupuncture method, methodological characteristics and presence of statistical heterogeneity as applicable. For the non-randomised studies, we will tabulate the characteristics, outcome measures and the reported results of each study. Consistencies and inconsistencies in evidence will be investigated and discussed. Finally

  10. Title IV Quality Control Project, Stage II. Management Option II: Delivery System Quality Improvements.

    ERIC Educational Resources Information Center

    Advanced Technology, Inc., Reston, VA.

    Stage Two of the Title IV Quality Control Project is an integrated study of quality in five related Federal financial aid programs for postsecondary students. Section 1 of the paper establishes a framework for defining quality improvements, in order to identify the types of changes that would tend to improve quality across all facets of the…

  11. 40 CFR 81.245 - Southwest Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 40 Protection of Environment 18 2014-07-01 2014-07-01 false Southwest Minnesota Intrastate Air... Air Quality Control Regions § 81.245 Southwest Minnesota Intrastate Air Quality Control Region. The Southwest Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  12. 40 CFR 81.243 - Central Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Central Minnesota Intrastate Air... Air Quality Control Regions § 81.243 Central Minnesota Intrastate Air Quality Control Region. The Central Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  13. 40 CFR 81.243 - Central Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Central Minnesota Intrastate Air... Air Quality Control Regions § 81.243 Central Minnesota Intrastate Air Quality Control Region. The Central Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  14. 40 CFR 81.245 - Southwest Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 40 Protection of Environment 17 2011-07-01 2011-07-01 false Southwest Minnesota Intrastate Air... Air Quality Control Regions § 81.245 Southwest Minnesota Intrastate Air Quality Control Region. The Southwest Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  15. 40 CFR 81.243 - Central Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false Central Minnesota Intrastate Air... Air Quality Control Regions § 81.243 Central Minnesota Intrastate Air Quality Control Region. The Central Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  16. 40 CFR 81.244 - Northwest Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Northwest Minnesota Intrastate Air... Air Quality Control Regions § 81.244 Northwest Minnesota Intrastate Air Quality Control Region. The Northwest Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  17. 40 CFR 81.245 - Southwest Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 40 Protection of Environment 17 2010-07-01 2010-07-01 false Southwest Minnesota Intrastate Air... Air Quality Control Regions § 81.245 Southwest Minnesota Intrastate Air Quality Control Region. The Southwest Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  18. 40 CFR 81.245 - Southwest Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Southwest Minnesota Intrastate Air... Air Quality Control Regions § 81.245 Southwest Minnesota Intrastate Air Quality Control Region. The Southwest Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  19. 40 CFR 81.245 - Southwest Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 40 Protection of Environment 18 2012-07-01 2012-07-01 false Southwest Minnesota Intrastate Air... Air Quality Control Regions § 81.245 Southwest Minnesota Intrastate Air Quality Control Region. The Southwest Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...

  20. 40 CFR 81.243 - Central Minnesota Intrastate Air Quality Control Region.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 40 Protection of Environment 18 2013-07-01 2013-07-01 false Central Minnesota Intrastate Air... Air Quality Control Regions § 81.243 Central Minnesota Intrastate Air Quality Control Region. The Central Minnesota Intrastate Air Quality Control Region consists of the territorial area encompassed by...