Sample records for quality control analysis

  1. 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

  2. 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.

  3. A Model of Risk Analysis in Analytical Methodology for Biopharmaceutical Quality Control.

    PubMed

    Andrade, Cleyton Lage; Herrera, Miguel Angel De La O; Lemes, Elezer Monte Blanco

    2018-01-01

    One key quality control parameter for biopharmaceutical products is the analysis of residual cellular DNA. To determine small amounts of DNA (around 100 pg) that may be in a biologically derived drug substance, an analytical method should be sensitive, robust, reliable, and accurate. In principle, three techniques have the ability to measure residual cellular DNA: radioactive dot-blot, a type of hybridization; threshold analysis; and quantitative polymerase chain reaction. Quality risk management is a systematic process for evaluating, controlling, and reporting of risks that may affects method capabilities and supports a scientific and practical approach to decision making. This paper evaluates, by quality risk management, an alternative approach to assessing the performance risks associated with quality control methods used with biopharmaceuticals, using the tool hazard analysis and critical control points. This tool provides the possibility to find the steps in an analytical procedure with higher impact on method performance. By applying these principles to DNA analysis methods, we conclude that the radioactive dot-blot assay has the largest number of critical control points, followed by quantitative polymerase chain reaction, and threshold analysis. From the analysis of hazards (i.e., points of method failure) and the associated method procedure critical control points, we conclude that the analytical methodology with the lowest risk for performance failure for residual cellular DNA testing is quantitative polymerase chain reaction. LAY ABSTRACT: In order to mitigate the risk of adverse events by residual cellular DNA that is not completely cleared from downstream production processes, regulatory agencies have required the industry to guarantee a very low level of DNA in biologically derived pharmaceutical products. The technique historically used was radioactive blot hybridization. However, the technique is a challenging method to implement in a quality

  4. HPTLC Fingerprint Analysis: A Quality Control for Authentication of Herbal Phytochemicals

    NASA Astrophysics Data System (ADS)

    Ram, Mauji; Abdin, M. Z.; Khan, M. A.; Jha, Prabhakar

    Authentication and consistent quality are the basic requirement for Indian traditional medicine (TIM), Chinese traditional herbal medicine (TCHM), and their commercial products, regardless of the kind of research conducted to modernize the TIM and TCHM. The complexities of TIM and TCHM challenge the current official quality control mode, for which only a few biochemical markers were selected for identification and quantitative assay. Referring too many unknown factors existed in TIM and TCHM, it is impossible and unnecessary to pinpoint qualitatively and quantitatively every single component contained in the herbal drug. Chromatographic fingerprint is a rational option to meet the need for more effective and powerful quality assessment to TIM and TCHM. The optimized chromatographic fingerprint is not only an alternative analytical tool for authentication, but also an approach to express the various pattern of chemical ingredients distribution in the herbal drugs and preserve such "database" for further multifaced sustainable studies. Analytical separation techniques, for example, high-performance liquid chromatography (HPLC), gas chromatography (GC) and mass spectrometry (MS) were among the most popular methods of choice used for quality control of raw material and finished herbal product. Fingerprint analysis approach using high-performance thin-layer chromatography (HPTLC) has become the most potent tool for quality control of herbal medicines because of its simplicity and reliability. It can serve as a tool for identification, authentication, and quality control of herbal drugs. In this chapter, attempts are being made to expand the use of HPTLC and at the same time create interest among prospective researcher in herbal analysis. The developed method can be used as a quality control tool for rapid authentication from a wide variety of herbal samples. Some examples demonstrated the role of fingerprinting in quality control and assessment.

  5. Quality control analysis : part III : concrete and concrete aggregates.

    DOT National Transportation Integrated Search

    1966-11-01

    This is the third and last report on the Quality Control Analysis of highway construction materials. : It deals with the statistical evaluation of data from several construction projects to determine the basic pattern of variability with respect to s...

  6. Defect Analysis Of Quality Palm Kernel Meal Using Statistical Quality Control In Kernels Factory

    NASA Astrophysics Data System (ADS)

    Sembiring, M. T.; Marbun, N. J.

    2018-04-01

    The production quality has an important impact retain the totality of characteristics of a product or service to pay attention to its capabilities to meet the needs that have been established. Quality criteria Palm Kernel Meal (PKM) set Factory kernel is as follows: oil content: max 8.50%, water content: max 12,00% and impurity content: max 4.00% While the average quality of the oil content of 8.94%, the water content of 5.51%, and 8.45% impurity content. To identify the defective product quality PKM produced, then used a method of analysis using Statistical Quality Control (SQC). PKM Plant Quality Kernel shows the oil content was 0.44% excess of a predetermined maximum value, and 4.50% impurity content. With excessive PKM content of oil and dirt cause disability content of production for oil, amounted to 854.6078 kg PKM and 8643.193 kg impurity content of PKM. Analysis of the results of cause and effect diagram and SQC, the factors that lead to poor quality of PKM is Ampere second press oil expeller and hours second press oil expeller.

  7. Root Cause Analysis of Quality Defects Using HPLC-MS Fingerprint Knowledgebase for Batch-to-batch Quality Control of Herbal Drugs.

    PubMed

    Yan, Binjun; Fang, Zhonghua; Shen, Lijuan; Qu, Haibin

    2015-01-01

    The batch-to-batch quality consistency of herbal drugs has always been an important issue. To propose a methodology for batch-to-batch quality control based on HPLC-MS fingerprints and process knowledgebase. The extraction process of Compound E-jiao Oral Liquid was taken as a case study. After establishing the HPLC-MS fingerprint analysis method, the fingerprints of the extract solutions produced under normal and abnormal operation conditions were obtained. Multivariate statistical models were built for fault detection and a discriminant analysis model was built using the probabilistic discriminant partial-least-squares method for fault diagnosis. Based on multivariate statistical analysis, process knowledge was acquired and the cause-effect relationship between process deviations and quality defects was revealed. The quality defects were detected successfully by multivariate statistical control charts and the type of process deviations were diagnosed correctly by discriminant analysis. This work has demonstrated the benefits of combining HPLC-MS fingerprints, process knowledge and multivariate analysis for the quality control of herbal drugs. Copyright © 2015 John Wiley & Sons, Ltd.

  8. High perfomance liquid chromatography fingerprint analysis for quality control of brotowali (Tinospora crispa)

    NASA Astrophysics Data System (ADS)

    Syarifah, V. B.; Rafi, M.; Wahyuni, W. T.

    2017-05-01

    Brotowali (Tinospora crispa) is widely used in Indonesia as ingredient of herbal medicine formulation. To ensure the quality, safety, and efficacy of herbal medicine products, its chemical constituents should be continuously evaluated. High performance liquid chromatography (HPLC) fingerprint is one of powerful technique for this quality control process. In this study, HPLC fingerprint analysis method was developed for quality control of brotowali. HPLC analysis was performed in C18 column and detection was performed using photodiode array detector. The optimum mobile phase for brotowali fingerprint was acetonitrile (ACN) and 0.1% formic acid in gradient elution mode at a flow rate of 1 mL/min. The number of peaks detected in HPLC fingerprint of brotowali was 32 peaks and 23 peaks for stems and leaves, respectively. Berberine as marker compound was detected at retention time of 20.525 minutes. Evaluation of analytical performance including precision, reproducibility, and stability prove that this HPLC fingerprint analysis was reliable and could be applied for quality control of brotowali.

  9. 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.

  10. Quality control analysis : part II : soil and aggregate base course.

    DOT National Transportation Integrated Search

    1966-07-01

    This is the second of the three reports on the quality control analysis of highway construction materials. : It deals with the statistical evaluation of results from several construction projects to determine the basic pattern of variability with res...

  11. Automated daily quality control analysis for mammography in a multi-unit imaging center.

    PubMed

    Sundell, Veli-Matti; Mäkelä, Teemu; Meaney, Alexander; Kaasalainen, Touko; Savolainen, Sauli

    2018-01-01

    Background The high requirements for mammography image quality necessitate a systematic quality assurance process. Digital imaging allows automation of the image quality analysis, which can potentially improve repeatability and objectivity compared to a visual evaluation made by the users. Purpose To develop an automatic image quality analysis software for daily mammography quality control in a multi-unit imaging center. Material and Methods An automated image quality analysis software using the discrete wavelet transform and multiresolution analysis was developed for the American College of Radiology accreditation phantom. The software was validated by analyzing 60 randomly selected phantom images from six mammography systems and 20 phantom images with different dose levels from one mammography system. The results were compared to a visual analysis made by four reviewers. Additionally, long-term image quality trends of a full-field digital mammography system and a computed radiography mammography system were investigated. Results The automated software produced feature detection levels comparable to visual analysis. The agreement was good in the case of fibers, while the software detected somewhat more microcalcifications and characteristic masses. Long-term follow-up via a quality assurance web portal demonstrated the feasibility of using the software for monitoring the performance of mammography systems in a multi-unit imaging center. Conclusion Automated image quality analysis enables monitoring the performance of digital mammography systems in an efficient, centralized manner.

  12. Design, analysis, and interpretation of field quality-control data for water-sampling projects

    USGS Publications Warehouse

    Mueller, David K.; Schertz, Terry L.; Martin, Jeffrey D.; Sandstrom, Mark W.

    2015-01-01

    The report provides extensive information about statistical methods used to analyze quality-control data in order to estimate potential bias and variability in environmental data. These methods include construction of confidence intervals on various statistical measures, such as the mean, percentiles and percentages, and standard deviation. The methods are used to compare quality-control results with the larger set of environmental data in order to determine whether the effects of bias and variability might interfere with interpretation of these data. Examples from published reports are presented to illustrate how the methods are applied, how bias and variability are reported, and how the interpretation of environmental data can be qualified based on the quality-control analysis.

  13. [Analysis of the results of the SEIMC External Quality Control Program. Year 2013].

    PubMed

    de Gopegui Bordes, Enrique Ruiz; Orta Mira, Nieves; Del Remedio Guna Serrano, M; Medina González, Rafael; Rosario Ovies, María; Poveda, Marta; Gimeno Cardona, Concepción

    2015-07-01

    The External Quality Control Program of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC) include controls for bacteriology, serology, mycology, parasitology, mycobacteria, virology, molecular microbiology and HIV-1, HCV and HBV viral loads. This manuscript presents the analysis of results obtained of the participants from the 2013 SEIMC External Quality Control Programme, except viral loads controls, that they are summarized in a manuscript abroad. As a whole, the results obtained in 2013 confirm the excellent skill and good technical standards found in previous editions. However, erroneous results can be obtained in any laboratory and in clinically relevant determinations. Once again, the results of this program highlighted the need to implement both internal and external controls in order to assure the maximal quality of the microbiological tests. Copyright © 2015 Elsevier España, S.L.U. All rights reserved.

  14. 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

  15. Analysis of wind-tunnel stability and control tests in terms of flying qualities of full-scale airplanes

    NASA Technical Reports Server (NTRS)

    Kayten, Gerald G

    1945-01-01

    The analysis of results of wind-tunnel stability and control tests of powered airplane models in terms of the flying qualities of full-scale airplanes is advocated. In order to indicated the topics upon which comments are considered desirable in the report of a wind-tunnel stability and control investigation and to demonstrate the nature of the suggested analysis, the present NACA flying-qualities requirements are discussed in relation to wind-tunnel tests. General procedures for the estimation of flying qualities from wind-tunnel tests are outlined.

  16. [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.

  17. Data exploration, quality control and statistical analysis of ChIP-exo/nexus experiments

    PubMed Central

    Welch, Rene; Chung, Dongjun; Grass, Jeffrey; Landick, Robert

    2017-01-01

    Abstract ChIP-exo/nexus experiments rely on innovative modifications of the commonly used ChIP-seq protocol for high resolution mapping of transcription factor binding sites. Although many aspects of the ChIP-exo data analysis are similar to those of ChIP-seq, these high throughput experiments pose a number of unique quality control and analysis challenges. We develop a novel statistical quality control pipeline and accompanying R/Bioconductor package, ChIPexoQual, to enable exploration and analysis of ChIP-exo and related experiments. ChIPexoQual evaluates a number of key issues including strand imbalance, library complexity, and signal enrichment of data. Assessment of these features are facilitated through diagnostic plots and summary statistics computed over regions of the genome with varying levels of coverage. We evaluated our QC pipeline with both large collections of public ChIP-exo/nexus data and multiple, new ChIP-exo datasets from Escherichia coli. ChIPexoQual analysis of these datasets resulted in guidelines for using these QC metrics across a wide range of sequencing depths and provided further insights for modelling ChIP-exo data. PMID:28911122

  18. 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

  19. Analysis and quality control of carbohydrates in therapeutic proteins with fluorescence HPLC

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

    Liu, Kun; Huang, Jian; Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054

    Conbercept is an Fc fusion protein with very complicated carbohydrate profiles which must be carefully monitored through manufacturing process. Here, we introduce an optimized fluorescence derivatization high-performance liquid chromatographic method for glycan mapping in conbercept. Compared with conventional glycan analysis method, this method has much better resolution and higher reproducibility making it excellent for product quality control.

  20. 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 .

  1. Data exploration, quality control and statistical analysis of ChIP-exo/nexus experiments.

    PubMed

    Welch, Rene; Chung, Dongjun; Grass, Jeffrey; Landick, Robert; Keles, Sündüz

    2017-09-06

    ChIP-exo/nexus experiments rely on innovative modifications of the commonly used ChIP-seq protocol for high resolution mapping of transcription factor binding sites. Although many aspects of the ChIP-exo data analysis are similar to those of ChIP-seq, these high throughput experiments pose a number of unique quality control and analysis challenges. We develop a novel statistical quality control pipeline and accompanying R/Bioconductor package, ChIPexoQual, to enable exploration and analysis of ChIP-exo and related experiments. ChIPexoQual evaluates a number of key issues including strand imbalance, library complexity, and signal enrichment of data. Assessment of these features are facilitated through diagnostic plots and summary statistics computed over regions of the genome with varying levels of coverage. We evaluated our QC pipeline with both large collections of public ChIP-exo/nexus data and multiple, new ChIP-exo datasets from Escherichia coli. ChIPexoQual analysis of these datasets resulted in guidelines for using these QC metrics across a wide range of sequencing depths and provided further insights for modelling ChIP-exo data. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  2. An analysis of a candidate control algorithm for a ride quality augmentation system

    NASA Technical Reports Server (NTRS)

    Suikat, Reiner; Donaldson, Kent; Downing, David R.

    1987-01-01

    This paper presents a detailed analysis of a candidate algorithm for a ride quality augmentation system. The algorithm consists of a full-state feedback control law based on optimal control output weighting, estimators for angle of attack and sideslip, and a maneuvering algorithm. The control law is shown to perform well by both frequency and time domain analysis. The rms vertical acceleration is reduced by about 40 percent over the whole mission flight envelope. The estimators for the angle of attack and sideslip avoid the often inaccurate or costly direct measurement of those angles. The maneuvering algorithm will allow the augmented airplane to respond to pilot inputs. The design characteristics and performance are documented by the closed-loop eigenvalues; rms levels of vertical, lateral, and longitudinal acceleration; and representative time histories and frequency response.

  3. [Quality control of Guci tablets using UPLC-ELSD fingerprint analysis coupled with chemometrics].

    PubMed

    Wang, Ya-Dan; Dai, Zhong; Sun, Cai-Lin; Wu, Xian-Fu; Ma, Shuang-Cheng

    2018-03-01

    Ultra-performance liquid chromatography-evaporative light scattering detection (UPLC-ELSD) fingerprint analysis method was established for quality control of Guci tablets. Chromatographic separation was performed on Waters Acquity UPLC BEH C₁₈ column (2.1 mm×100 mm, 1.7 μm) at 30 °C of column temperature. Acetonitrile-0.1% formic acid solution was adopted as mobile phase for gradient elution. The flow rate was set at 0.3 mL·min⁻¹, and the injection volume was 3 μL. Detection was carried out on an ELSD with a nitrogen pressure of 0.28 MPa, drift tube temperature of 60 °C, and gain of 400. A total of 39 batches of samples produced by six manufacturers were measured by using the above method and the data were analyzed by ChemPattern software. The peak present in more than 75% of the samples was defined as a common peak, and 30 common peaks were determined. Among them, 19 peaks were identified by rapid resolution liquid chromatography/tandem mass spectrometry (RRLC-MS/MS) method, 16 of which were confirmed by reference substances. The similarity of the tested samples was 0.47-0.98, suggesting that the quality of the samples from different manufacturers varied greatly. Furthermore, principal component analysis (PCA) and hierarchical analysis (HCA) were performed to clarify the main different components in samples. The results indicated that there might be some feeding problems about Paeoniae Radix Alba, Notoginseng Radix et Rhizoma, and Clematidis Radix et Rhizoma in a few manufacturers. This study provided some evidences for the overall quality control of Guci tablets, as well as its quality standard improvements. Copyright© by the Chinese Pharmaceutical Association.

  4. Quality control of murine monoclonal antibodies using isoelectric focusing affinity immunoblot analysis

    NASA Technical Reports Server (NTRS)

    Hamilton, Robert G.; Rodkey, L. Scott; Reimer, Charles B.

    1987-01-01

    The quality control of murine hybridoma secretory products has been performed using two approaches for isoelectric focusing affinity immunoblot analysis: (1) a method in which antigen-coated nitrocellulose is placed on top of an acrylamide gel containing isoelectrically focused ascites to bind the antigen specific monoclonal antibody; and (2) a method in which focused ascite proteins were passively blotted onto nitrocellulose and specific monoclonal antibodies were detected with enzyme-conjugated antigen. Analysis by both methods of batches of ascites containing antihuman IgG antibodies that were produced by six hybridomas permitted effective monitoring of immunoreactive antibodies for pI microheterogeneity.

  5. Weld analysis and control system

    NASA Technical Reports Server (NTRS)

    Kennedy, Larry Z. (Inventor); Rodgers, Michael H. (Inventor); Powell, Bradley W. (Inventor); Burroughs, Ivan A. (Inventor); Goode, K. Wayne (Inventor)

    1994-01-01

    The invention is a Weld Analysis and Control System developed for active weld system control through real time weld data acquisition. Closed-loop control is based on analysis of weld system parameters and weld geometry. The system is adapted for use with automated welding apparatus having a weld controller which is capable of active electronic control of all aspects of a welding operation. Enhanced graphics and data displays are provided for post-weld analysis. The system provides parameter acquisition, including seam location which is acquired for active torch cross-seam positioning. Torch stand-off is also monitored for control. Weld bead and parent surface geometrical parameters are acquired as an indication of weld quality. These parameters include mismatch, peaking, undercut, underfill, crown height, weld width, puddle diameter, and other measurable information about the weld puddle regions, such as puddle symmetry, etc. These parameters provide a basis for active control as well as post-weld quality analysis and verification. Weld system parameters, such as voltage, current and wire feed rate, are also monitored and archived for correlation with quality parameters.

  6. 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.

  7. 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.

  8. A Resampling Analysis of Federal Family Assistance Program Quality Control Data: An Application of the Bootstrap.

    ERIC Educational Resources Information Center

    Hand, Michael L.

    1990-01-01

    Use of the bootstrap resampling technique (BRT) is assessed in its application to resampling analysis associated with measurement of payment allocation errors by federally funded Family Assistance Programs. The BRT is applied to a food stamp quality control database in Oregon. This analysis highlights the outlier-sensitivity of the…

  9. Single-Family Quality Control Inspector Job Task Analysis

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

    Head, Heather R; Kurnik, Charles W

    The National Renewable Energy Laboratory (NREL) is contracted by the U.S. Department of Energy (DOE) Weatherization Assistance Program (WAP) to develop and maintain the resources under the Guidelines for Home Energy Professionals (GHEP) project. As part of the GHEP strategy to increase the quality of work conducted for single-family, residential energy-efficiency retrofits, the Home Energy Professionals Job Task Analysis are used as the foundation for quality training programs and trainers.

  10. 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.

  11. ITC Guidelines on Quality Control in Scoring, Test Analysis, and Reporting of Test Scores

    ERIC Educational Resources Information Center

    Allalouf, Avi

    2014-01-01

    The Quality Control (QC) Guidelines are intended to increase the efficiency, precision, and accuracy of the scoring, analysis, and reporting process of testing. The QC Guidelines focus on large-scale testing operations where multiple forms of tests are created for use on set dates. However, they may also be used for a wide variety of other testing…

  12. Quality Control and Analysis of Microphysical Data Collected in TRMM Aircraft Validation Experiments

    NASA Technical Reports Server (NTRS)

    Heymsfield, Andrew J.

    2004-01-01

    This report summarizes our efforts on the funded project 'Quality Control and Analysis of Microphysical Data Collected in TRMM Airborne Validation Experiments', NASA NAG5-9663, Andrew Heymsfield, P. I. We begin this report by summarizing our activities in FY2000-FY2004. We then present some highlights of our work. The last part of the report lists the publications that have resulted from our funding through this grant.

  13. The IEO Data Center Management System: Tools for quality control, analysis and access marine data

    NASA Astrophysics Data System (ADS)

    Casas, Antonia; Garcia, Maria Jesus; Nikouline, Andrei

    2010-05-01

    Since 1994 the Data Centre of the Spanish Oceanographic Institute develops system for archiving and quality control of oceanographic data. The work started in the frame of the European Marine Science & Technology Programme (MAST) when a consortium of several Mediterranean Data Centres began to work on the MEDATLAS project. Along the years, old software modules for MS DOS were rewritten, improved and migrated to Windows environment. Oceanographic data quality control includes now not only vertical profiles (mainly CTD and bottles observations) but also time series of currents and sea level observations. New powerful routines for analysis and for graphic visualization were added. Data presented originally in ASCII format were organized recently in an open source MySQL database. Nowadays, the IEO, as part of SeaDataNet Infrastructure, has designed and developed a new information system, consistent with the ISO 19115 and SeaDataNet standards, in order to manage the large and diverse marine data and information originated in Spain by different sources, and to interoperate with SeaDataNet. The system works with data stored in ASCII files (MEDATLAS, ODV) as well as data stored within the relational database. The components of the system are: 1.MEDATLAS Format and Quality Control - QCDAMAR: Quality Control of Marine Data. Main set of tools for working with data presented as text files. Includes extended quality control (searching for duplicated cruises and profiles, checking date, position, ship velocity, constant profiles, spikes, density inversion, sounding, acceptable data, impossible regional values,...) and input/output filters. - QCMareas: A set of procedures for the quality control of tide gauge data according to standard international Sea Level Observing System. These procedures include checking for unexpected anomalies in the time series, interpolation, filtering, computation of basic statistics and residuals. 2. DAMAR: A relational data base (MySql) designed to

  14. 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

  15. Interrupted Time Series Versus Statistical Process Control in Quality Improvement Projects.

    PubMed

    Andersson Hagiwara, Magnus; Andersson Gäre, Boel; Elg, Mattias

    2016-01-01

    To measure the effect of quality improvement interventions, it is appropriate to use analysis methods that measure data over time. Examples of such methods include statistical process control analysis and interrupted time series with segmented regression analysis. This article compares the use of statistical process control analysis and interrupted time series with segmented regression analysis for evaluating the longitudinal effects of quality improvement interventions, using an example study on an evaluation of a computerized decision support system.

  16. MASQOT: a method for cDNA microarray spot quality control

    PubMed Central

    Bylesjö, Max; Eriksson, Daniel; Sjödin, Andreas; Sjöström, Michael; Jansson, Stefan; Antti, Henrik; Trygg, Johan

    2005-01-01

    Background cDNA microarray technology has emerged as a major player in the parallel detection of biomolecules, but still suffers from fundamental technical problems. Identifying and removing unreliable data is crucial to prevent the risk of receiving illusive analysis results. Visual assessment of spot quality is still a common procedure, despite the time-consuming work of manually inspecting spots in the range of hundreds of thousands or more. Results A novel methodology for cDNA microarray spot quality control is outlined. Multivariate discriminant analysis was used to assess spot quality based on existing and novel descriptors. The presented methodology displays high reproducibility and was found superior in identifying unreliable data compared to other evaluated methodologies. Conclusion The proposed methodology for cDNA microarray spot quality control generates non-discrete values of spot quality which can be utilized as weights in subsequent analysis procedures as well as to discard spots of undesired quality using the suggested threshold values. The MASQOT approach provides a consistent assessment of spot quality and can be considered an alternative to the labor-intensive manual quality assessment process. PMID:16223442

  17. Quality Control Guidelines for SAM Chemical Methods

    EPA Pesticide Factsheets

    Learn more about quality control guidelines and recommendations for the analysis of samples using the chemistry methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

  18. Quality Control Guidelines for SAM Radiochemical Methods

    EPA Pesticide Factsheets

    Learn more about quality control guidelines and recommendations for the analysis of samples using the radiochemistry methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

  19. Quality Control Guidelines for SAM Biotoxin Methods

    EPA Pesticide Factsheets

    Learn more about quality control guidelines and recommendations for the analysis of samples using the pathogen methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

  20. Quality Control Guidelines for SAM Pathogen Methods

    EPA Pesticide Factsheets

    Learn more about quality control guidelines and recommendations for the analysis of samples using the biotoxin methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

  1. Comparative mass spectrometry & nuclear magnetic resonance metabolomic approaches for nutraceuticals quality control analysis: a brief review.

    PubMed

    Farag, Mohamed A

    2014-01-01

    The number of botanical dietary supplements in the market has recently increased primarily due to increased health awareness. Standardization and quality control of the constituents of these plant extracts is an important topic, particularly when such ingredients are used long term as dietary supplements, or in cases where higher doses are marketed as drugs. The development of fast, comprehensive, and effective untargeted analytical methods for plant extracts is of high interest. Nuclear magnetic resonance spectroscopy and mass spectrometry are the most informative tools, each of which enables high-throughput and global analysis of hundreds of metabolites in a single step. Although only one of the two techniques is utilized in the majority of plant metabolomics applications, there is a growing interest in combining the data from both platforms to effectively unravel the complexity of plant samples. The application of combined MS and NMR in the quality control of nutraceuticals forms the major part of this review. Finally I will look at the future developments and perspectives of these two technologies for the quality control of herbal materials.

  2. Application of Sigma Metrics Analysis for the Assessment and Modification of Quality Control Program in the Clinical Chemistry Laboratory of a Tertiary Care Hospital.

    PubMed

    Iqbal, Sahar; Mustansar, Tazeen

    2017-03-01

    Sigma is a metric that quantifies the performance of a process as a rate of Defects-Per-Million opportunities. In clinical laboratories, sigma metric analysis is used to assess the performance of laboratory process system. Sigma metric is also used as a quality management strategy for a laboratory process to improve the quality by addressing the errors after identification. The aim of this study is to evaluate the errors in quality control of analytical phase of laboratory system by sigma metric. For this purpose sigma metric analysis was done for analytes using the internal and external quality control as quality indicators. Results of sigma metric analysis were used to identify the gaps and need for modification in the strategy of laboratory quality control procedure. Sigma metric was calculated for quality control program of ten clinical chemistry analytes including glucose, chloride, cholesterol, triglyceride, HDL, albumin, direct bilirubin, total bilirubin, protein and creatinine, at two control levels. To calculate the sigma metric imprecision and bias was calculated with internal and external quality control data, respectively. The minimum acceptable performance was considered as 3 sigma. Westgard sigma rules were applied to customize the quality control procedure. Sigma level was found acceptable (≥3) for glucose (L2), cholesterol, triglyceride, HDL, direct bilirubin and creatinine at both levels of control. For rest of the analytes sigma metric was found <3. The lowest value for sigma was found for chloride (1.1) at L2. The highest value of sigma was found for creatinine (10.1) at L3. HDL was found with the highest sigma values at both control levels (8.8 and 8.0 at L2 and L3, respectively). We conclude that analytes with the sigma value <3 are required strict monitoring and modification in quality control procedure. In this study application of sigma rules provided us the practical solution for improved and focused design of QC procedure.

  3. 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.

  4. [Development of whole process quality control and management system of traditional Chinese medicine decoction pieces based on traditional Chinese medicine quality tree].

    PubMed

    Yu, Wen-Kang; Dong, Ling; Pei, Wen-Xuan; Sun, Zhi-Rong; Dai, Jun-Dong; Wang, Yun

    2017-12-01

    The whole process quality control and management of traditional Chinese medicine (TCM) decoction pieces is a system engineering, involving the base environment, seeds and seedlings, harvesting, processing and other multiple steps, so the accurate identification of factors in TCM production process that may induce the quality risk, as well as reasonable quality control measures are very important. At present, the concept of quality risk is mainly concentrated in the aspects of management and regulations, etc. There is no comprehensive analysis on possible risks in the quality control process of TCM decoction pieces, or analysis summary of effective quality control schemes. A whole process quality control and management system for TCM decoction pieces based on TCM quality tree was proposed in this study. This system effectively combined the process analysis method of TCM quality tree with the quality risk management, and can help managers to make real-time decisions while realizing the whole process quality control of TCM. By providing personalized web interface, this system can realize user-oriented information feedback, and was convenient for users to predict, evaluate and control the quality of TCM. In the application process, the whole process quality control and management system of the TCM decoction pieces can identify the related quality factors such as base environment, cultivation and pieces processing, extend and modify the existing scientific workflow according to their own production conditions, and provide different enterprises with their own quality systems, to achieve the personalized service. As a new quality management model, this paper can provide reference for improving the quality of Chinese medicine production and quality standardization. Copyright© by the Chinese Pharmaceutical Association.

  5. Analysis And Control System For Automated Welding

    NASA Technical Reports Server (NTRS)

    Powell, Bradley W.; Burroughs, Ivan A.; Kennedy, Larry Z.; Rodgers, Michael H.; Goode, K. Wayne

    1994-01-01

    Automated variable-polarity plasma arc (VPPA) welding apparatus operates under electronic supervision by welding analysis and control system. System performs all major monitoring and controlling functions. It acquires, analyzes, and displays weld-quality data in real time and adjusts process parameters accordingly. Also records pertinent data for use in post-weld analysis and documentation of quality. System includes optoelectronic sensors and data processors that provide feedback control of welding process.

  6. 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...

  7. Incorporating Handling Qualities Analysis into Rotorcraft Conceptual Design

    NASA Technical Reports Server (NTRS)

    Lawrence, Ben

    2014-01-01

    This paper describes the initial development of a framework to incorporate handling qualities analyses into a rotorcraft conceptual design process. In particular, the paper describes how rotorcraft conceptual design level data can be used to generate flight dynamics models for handling qualities analyses. Also, methods are described that couple a basic stability augmentation system to the rotorcraft flight dynamics model to extend analysis to beyond that of the bare airframe. A methodology for calculating the handling qualities characteristics of the flight dynamics models and for comparing the results to ADS-33E criteria is described. Preliminary results from the application of the handling qualities analysis for variations in key rotorcraft design parameters of main rotor radius, blade chord, hub stiffness and flap moment of inertia are shown. Varying relationships, with counteracting trends for different handling qualities criteria and different flight speeds are exhibited, with the action of the control system playing a complex part in the outcomes. Overall, the paper demonstrates how a broad array of technical issues across flight dynamics stability and control, simulation and modeling, control law design and handling qualities testing and evaluation had to be confronted to implement even a moderately comprehensive handling qualities analysis of relatively low fidelity models. A key outstanding issue is to how to 'close the loop' with an overall design process, and options for the exploration of how to feedback handling qualities results to a conceptual design process are proposed for future work.

  8. Rotorcraft flying qualities improvement using advanced control

    NASA Technical Reports Server (NTRS)

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

    1993-01-01

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

  9. [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.

  10. 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

  11. Filtered Push: Annotating Distributed Data for Quality Control and Fitness for Use Analysis

    NASA Astrophysics Data System (ADS)

    Morris, P. J.; Kelly, M. A.; Lowery, D. B.; Macklin, J. A.; Morris, R. A.; Tremonte, D.; Wang, Z.

    2009-12-01

    sets, or practices of science. (2) Data quality problems often cannot be detected only from internal statistical correlations or logical analysis, but may need the application of defined workflows that signal illogical output. (3) Changes in scientific theory or practice over time can result in changes of what QC tests should be applied to legacy data. (4) The frequency of some classes of error in a data set may be identifiable without the ability to assert that a particular record is in error. To address these issues requires, as does science itself, framing QC hypotheses against data that may be anywhere and may arise at any time in the future. In short, QC for science data is a never ending process. It must provide for notice to an agent (human or software) that a given dataset supports a hypothesis of inconsistency with a current scientific resource or model, or with potential generalizations of the concepts in a metadata ontology. Like quality control in general, quality control of distributed data is a repeated cyclical process. In implementing a Filtered Push network for quality control, we have a model in which the cost of QC forever is not substantially greater than QC once.

  12. Fluorescence analysis of ubiquinone and its application in quality control of medical supplies

    NASA Astrophysics Data System (ADS)

    Timofeeva, Elvira O.; Gorbunova, Elena V.; Chertov, Aleksandr N.

    2017-02-01

    The presence of antioxidant issues such as redox potential imbalance in human body is a very important question for modern clinical diagnostics. Implementation of fluorescence analysis into optical diagnostics of such wide distributed in a human body antioxidant as ubiquinone is one of the steps for development of the device with a view to clinical diagnostics of redox potential. Recording of fluorescence was carried out with spectrometer using UV irradiation source with thin band (max at 287 and 330 nm) as a background radiation. Concentrations of ubiquinone from 0.25 to 2.5 mmol/l in explored samples were used for investigation. Recording data was processed using correlation analysis and differential analytical technique. The fourth derivative spectrum of fluorescence spectrum provided the basis for a multicomponent analysis of the solutions. As a technique in clinical diagnostics fluorescence analysis with processing method including differential spectrophotometry, it is step forward towards redox potential calculation and quality control in pharmacy for better health care.

  13. [Inter-and intra-operator variability in the analysis of semen parameters: results from a quality control program].

    PubMed

    Daoud, Salima; Chakroun-Feki, Nozha; Sellami, Afifa; Ammar-Keskes, Leila; Rebai, Tarek

    2016-01-01

    Semen analysis is a key part of male infertility investigation. The necessity of quality management implementation in the andrology laboratory has been recognized in order to ensure the reliability of its results. The aim of this study was to evaluate intra- and inter-individual variability in the assessment of semen parameters in our laboratory through a quality control programme. Four participants from the laboratory with different experience levels have participated in this study. Semen samples of varying quality were assessed for sperm motility, concentration and morphology and the results were used to evaluate inter-participant variability. In addition, replicates of each semen sample were analyzed to determine intra-individual variability for semen parameters analysis. The average values of inter-participant coefficients of variation for sperm motility, concentration and morphology were 12.8%, 19.8% and 48.9% respectively. The mean intra-participant coefficients of variation were, respectively, 6.9%, 12.3% and 42.7% for sperm motility, concentration and morphology. Despite some random errors of under- or overestimation, the overall results remained within the limits of acceptability for all participants. Sperm morphology assessment was particularly influenced by the participant's level of experience. The present data emphasize the need for appropriate training of the laboratory staff and for regular participation in internal quality control programmes in order to improve the reliability of laboratory results.

  14. General Quality Control (QC) Guidelines for SAM Methods

    EPA Pesticide Factsheets

    Learn more about quality control guidelines and recommendations for the analysis of samples using the methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

  15. Statistical process control analysis for patient quality assurance of intensity modulated radiation therapy

    NASA Astrophysics Data System (ADS)

    Lee, Rena; Kim, Kyubo; Cho, Samju; Lim, Sangwook; Lee, Suk; Shim, Jang Bo; Huh, Hyun Do; Lee, Sang Hoon; Ahn, Sohyun

    2017-11-01

    This study applied statistical process control to set and verify the quality assurances (QA) tolerance standard for our hospital's characteristics with the criteria standards that are applied to all the treatment sites with this analysis. Gamma test factor of delivery quality assurances (DQA) was based on 3%/3 mm. Head and neck, breast, prostate cases of intensity modulated radiation therapy (IMRT) or volumetric arc radiation therapy (VMAT) were selected for the analysis of the QA treatment sites. The numbers of data used in the analysis were 73 and 68 for head and neck patients. Prostate and breast were 49 and 152 by MapCHECK and ArcCHECK respectively. C p value of head and neck and prostate QA were above 1.0, C pml is 1.53 and 1.71 respectively, which is close to the target value of 100%. C pml value of breast (IMRT) was 1.67, data values are close to the target value of 95%. But value of was 0.90, which means that the data values are widely distributed. C p and C pml of breast VMAT QA were respectively 1.07 and 2.10. This suggests that the VMAT QA has better process capability than the IMRT QA. Consequently, we should pay more attention to planning and QA before treatment for breast Radiotherapy.

  16. [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.

  17. 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.

  18. FIELD QUALITY CONTROL STRATEGIES ASSESSING SOLIDIFICATION/STABILIZATION

    EPA Science Inventory

    Existing regulatory mobility reduction (leaching) tests are not amenable to real time quality control because of the time required to perform sample extraction and chemical analysis. This is of conccern because the leaching test is the most important parameter used to relate trea...

  19. KAT: a K-mer analysis toolkit to quality control NGS datasets and genome assemblies.

    PubMed

    Mapleson, Daniel; Garcia Accinelli, Gonzalo; Kettleborough, George; Wright, Jonathan; Clavijo, Bernardo J

    2017-02-15

    De novo assembly of whole genome shotgun (WGS) next-generation sequencing (NGS) data benefits from high-quality input with high coverage. However, in practice, determining the quality and quantity of useful reads quickly and in a reference-free manner is not trivial. Gaining a better understanding of the WGS data, and how that data is utilized by assemblers, provides useful insights that can inform the assembly process and result in better assemblies. We present the K-mer Analysis Toolkit (KAT): a multi-purpose software toolkit for reference-free quality control (QC) of WGS reads and de novo genome assemblies, primarily via their k-mer frequencies and GC composition. KAT enables users to assess levels of errors, bias and contamination at various stages of the assembly process. In this paper we highlight KAT's ability to provide valuable insights into assembly composition and quality of genome assemblies through pairwise comparison of k-mers present in both input reads and the assemblies. KAT is available under the GPLv3 license at: https://github.com/TGAC/KAT . bernardo.clavijo@earlham.ac.uk. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press.

  20. 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.

  1. Design and implementation of software for automated quality control and data analysis for a complex LC/MS/MS assay for urine opiates and metabolites.

    PubMed

    Dickerson, Jane A; Schmeling, Michael; Hoofnagle, Andrew N; Hoffman, Noah G

    2013-01-16

    Mass spectrometry provides a powerful platform for performing quantitative, multiplexed assays in the clinical laboratory, but at the cost of increased complexity of analysis and quality assurance calculations compared to other methodologies. Here we describe the design and implementation of a software application that performs quality control calculations for a complex, multiplexed, mass spectrometric analysis of opioids and opioid metabolites. The development and implementation of this application improved our data analysis and quality assurance processes in several ways. First, use of the software significantly improved the procedural consistency for performing quality control calculations. Second, it reduced the amount of time technologists spent preparing and reviewing the data, saving on average over four hours per run, and in some cases improving turnaround time by a day. Third, it provides a mechanism for coupling procedural and software changes with the results of each analysis. We describe several key details of the implementation including the use of version control software and automated unit tests. These generally useful software engineering principles should be considered for any software development project in the clinical lab. Copyright © 2012 Elsevier B.V. All rights reserved.

  2. SQC: secure quality control for meta-analysis of genome-wide association studies.

    PubMed

    Huang, Zhicong; Lin, Huang; Fellay, Jacques; Kutalik, Zoltán; Hubaux, Jean-Pierre

    2017-08-01

    Due to the limited power of small-scale genome-wide association studies (GWAS), researchers tend to collaborate and establish a larger consortium in order to perform large-scale GWAS. Genome-wide association meta-analysis (GWAMA) is a statistical tool that aims to synthesize results from multiple independent studies to increase the statistical power and reduce false-positive findings of GWAS. However, it has been demonstrated that the aggregate data of individual studies are subject to inference attacks, hence privacy concerns arise when researchers share study data in GWAMA. In this article, we propose a secure quality control (SQC) protocol, which enables checking the quality of data in a privacy-preserving way without revealing sensitive information to a potential adversary. SQC employs state-of-the-art cryptographic and statistical techniques for privacy protection. We implement the solution in a meta-analysis pipeline with real data to demonstrate the efficiency and scalability on commodity machines. The distributed execution of SQC on a cluster of 128 cores for one million genetic variants takes less than one hour, which is a modest cost considering the 10-month time span usually observed for the completion of the QC procedure that includes timing of logistics. SQC is implemented in Java and is publicly available at https://github.com/acs6610987/secureqc. jean-pierre.hubaux@epfl.ch. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  3. Quality-control materials in the USDA National Food and Nutrient Analysis Program (NFNAP).

    PubMed

    Phillips, Katherine M; Patterson, Kristine Y; Rasor, Amy S; Exler, Jacob; Haytowitz, David B; Holden, Joanne M; Pehrsson, Pamela R

    2006-03-01

    The US Department of Agriculture (USDA) Nutrient Data Laboratory (NDL) develops and maintains the USDA National Nutrient Databank System (NDBS). Data are released from the NDBS for scientific and public use through the USDA National Nutrient Database for Standard Reference (SR) ( http://www.ars.usda.gov/ba/bhnrc/ndl ). In 1997 the NDL initiated the National Food and Nutrient Analysis Program (NFNAP) to update and expand its food-composition data. The program included: 1) nationwide probability-based sampling of foods; 2) central processing and archiving of food samples; 3) analysis of food components at commercial, government, and university laboratories; 4) incorporation of new analytical data into the NDBS; and 5) dissemination of these data to the scientific community. A key feature and strength of the NFNAP was a rigorous quality-control program that enabled independent verification of the accuracy and precision of analytical results. Custom-made food-control composites and/or commercially available certified reference materials were sent to the laboratories, blinded, with the samples. Data for these materials were essential to ongoing monitoring of analytical work, to identify and resolve suspected analytical problems, to ensure the accuracy and precision of results for the NFNAP food samples.

  4. Computer graphics for quality control in the INAA of geological samples

    USGS Publications Warehouse

    Grossman, J.N.; Baedecker, P.A.

    1987-01-01

    A data reduction system for the routine instrumental activation analysis of samples is described, with particular emphasis on interactive graphics capabilities for evaluating analytical quality. Graphics procedures have been developed to interactively control the analysis of selected photopeaks during spectral analysis, and to evaluate detector performance during a given counting cycle. Graphics algorithms are also used to compare the data on reference samples with accepted values, to prepare quality control charts to evaluate long term precision and to search for systematic variations in data on reference samples as a function of time. ?? 1987 Akade??miai Kiado??.

  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. Research on Air Quality Evaluation based on Principal Component Analysis

    NASA Astrophysics Data System (ADS)

    Wang, Xing; Wang, Zilin; Guo, Min; Chen, Wei; Zhang, Huan

    2018-01-01

    Economic growth has led to environmental capacity decline and the deterioration of air quality. Air quality evaluation as a fundamental of environmental monitoring and air pollution control has become increasingly important. Based on the principal component analysis (PCA), this paper evaluates the air quality of a large city in Beijing-Tianjin-Hebei Area in recent 10 years and identifies influencing factors, in order to provide reference to air quality management and air pollution control.

  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. 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.

  12. Piper nigrum: micropropagation, antioxidative enzyme activities, and chromatographic fingerprint analysis for quality control.

    PubMed

    Ahmad, Nisar; Abbasi, Bilal Haider; Rahman, Inayat ur; Fazal, Hina

    2013-04-01

    A reliable in vitro regeneration system for the economical and medicinally important Piper nigrum L. has been established. Callus and shoot regeneration was encouraged from leaf portions on Murashige and Skoog (MS) medium augmented with varied concentrations of plant growth regulators. A higher callus production (90 %) was observed in explants incubated on MS medium incorporated with 1.0 mg L(-1) 6-benzyladenine (BA) along with 0.5 mg L(-1) gibberellic acid after 4 weeks of culture. Moreover, a callogenic response of 85 % was also recorded for 1.0 mg L(-1) BA in combination with 0.25 mg L(-1) α-naphthalene acetic acid (NAA) and 0.25 mg L(-1) 2,4-dichlorophenoxyacetic acid or 0.5 mg L(-1) indole butyric acid (IBA) along with 0.25 mg L(-1) NAA and indole acetic acid. Subsequent sub-culturing of callus after 4 weeks of culture onto MS medium supplemented with 1.5 mg L(-1) thiodiazoran or 1.5 mg L(-1) IBA induced 100 % shoot response. Rooted plantlets were achieved on medium containing varied concentrations of auxins. The antioxidative enzyme activities [superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX)] revealed that significantly higher SOD was observed in regenerated plantlets than in other tissues. However, POD, CAT, and APX were higher in callus than in other tissues. A high-performance liquid chromatography (HPLC) fingerprint analysis protocol was established for quality control in different in vitro-regenerated tissues of P. nigrum L. During analysis, most of the common peaks represent the active principle "piperine." The chemical contents, especially piperine, showed variation from callus culture to whole plantlet regeneration. Based on the deviation in chromatographic peaks, the in vitro-regenerated plantlets exhibit a nearly similar piperine profile to acclimated plantlets. The in vitro regeneration system and HPLC fingerprint analysis established here brought a novel approach to the quality control of in vitro

  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. [Analysis of the results of the SEIMC External Quality Control Program. Year 2012].

    PubMed

    de Gopegui Bordes, Enrique Ruiz; Guna Serrano, M del Remedio; Orta Mira, Nieves; Ovies, María Rosario; Poveda, Marta; Gimeno Cardona, Concepción

    2014-02-01

    The External Quality Control Program of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC) include controls for bacteriology, serology, mycology, parasitology, mycobacteria, virology and molecular microbiology. This article presents the most relevant conclusions and lessons from the 2012 controls. As a whole, the results obtained in 2012 confirm the excellent skill and good technical standards found in previous editions. However, erroneous results can be obtained in any laboratory and in clinically relevant determinations. Once again, the results of this program highlighted the need to implement both internal and external controls in order to assure the maximal quality of the microbiological tests. Copyright © 2014 Elsevier España, S.L. All rights reserved.

  15. [Analysis of the results of the SEIMC External Quality Control Program. Year 2014].

    PubMed

    Gopegui Bordes, Enrique Ruiz de; Guna Serrano, M Del Remedio; Orta Mira, Nieves; Medina González, Rafael; Rosario Ovies, María; Poveda, Marta; Gimeno Cardona, Concepción

    2016-07-01

    The External Quality Control Program of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC) include controls for bacteriology, serology, mycology, parasitology, mycobacteria, virology and molecular microbiology. This article presents the most relevant conclusions and lessons from the 2014 controls. As a whole, the results obtained in 2014 confirm the excellent skill and good technical standards found in previous editions. However, erroneous results can be obtained in any laboratory and in clinically relevant determinations. Once again, the results of the SEIMC program highlighted the need to implement both internal and external controls in order to assure the maximal quality of the microbiological tests. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.

  16. A Metric and Workflow for Quality Control in the Analysis of Heterogeneity in Phenotypic Profiles and Screens

    PubMed Central

    Gough, Albert; Shun, Tongying; Taylor, D. Lansing; Schurdak, Mark

    2016-01-01

    Heterogeneity is well recognized as a common property of cellular systems that impacts biomedical research and the development of therapeutics and diagnostics. Several studies have shown that analysis of heterogeneity: gives insight into mechanisms of action of perturbagens; can be used to predict optimal combination therapies; and to quantify heterogeneity in tumors where heterogeneity is believed to be associated with adaptation and resistance. Cytometry methods including high content screening (HCS), high throughput microscopy, flow cytometry, mass spec imaging and digital pathology capture cell level data for populations of cells. However it is often assumed that the population response is normally distributed and therefore that the average adequately describes the results. A deeper understanding of the results of the measurements and more effective comparison of perturbagen effects requires analysis that takes into account the distribution of the measurements, i.e. the heterogeneity. However, the reproducibility of heterogeneous data collected on different days, and in different plates/slides has not previously been evaluated. Here we show that conventional assay quality metrics alone are not adequate for quality control of the heterogeneity in the data. To address this need, we demonstrate the use of the Kolmogorov-Smirnov statistic as a metric for monitoring the reproducibility of heterogeneity in an SAR screen, describe a workflow for quality control in heterogeneity analysis. One major challenge in high throughput biology is the evaluation and interpretation of heterogeneity in thousands of samples, such as compounds in a cell-based screen. In this study we also demonstrate that three heterogeneity indices previously reported, capture the shapes of the distributions and provide a means to filter and browse big data sets of cellular distributions in order to compare and identify distributions of interest. These metrics and methods are presented as a

  17. 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.

  18. 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.

  19. Convenient and Efficient Method for Quality Control Analysis of 18F-Fluorocholine: For a Small Scale GMP-based Radiopharmaceuticals Laboratory Set-up.

    PubMed

    Hassan, Hishar; Abu Bakar, Suharzelim; Halim, Khairul Najah Che A; Idris, Jaleezah; Nordin, Abdul Jalil

    2016-01-01

    Prostate cancer continues to be the most prevalent cancer in men in Malaysia. As time progresses, the prospect of PET imaging modality in diagnosis of prostate cancer is promising, with on-going improvement on novel tracers. Among all tracers, 18F-Fluorocholine is reported to be a reputable tracer and reliable diagnostic technique for prostate imaging. Nonetheless, only 18F-Fluorodeoxyglucose (18F-FDG) is available and used in most oncology cases in Malaysia. With a small scale GMP-based radiopharmaceuticals laboratory set-up, initial efforts have been taken to put Malaysia on 18F-Fluorocholine map. This article presents a convenient, efficient and reliable method for quality control analysis of 18F-Fluorocholine. Besides, the aim of this research work is to assist local GMP radiopharmaceuticals laboratories and local authority in Malaysia for quality control analysis of 18F-Fluorocholine guideline. In this study, prior to synthesis, quality control analysis method for 18F-Fluorocholine was developed and validated, by adapting the equipment set-up used in 18F-Fluorodeoxyglucose (18FFDG) routine production. Quality control on the 18F-Fluorocholine was performed by means of pH, radionuclidic identity, radio-high performance liquid chromatography equipped with ultraviolet, radio- thin layer chromatography, gas chromatography and filter integrity test. Post-synthesis; the pH of 18F-Fluorocholine was 6.42 ± 0.04, with half-life of 109.5 minutes (n = 12). The radiochemical purity was consistently higher than 99%, both in radio-high performance liquid chromatography equipped with ultraviolet (r-HPLC; SCX column, 0.25 M NaH2PO4: acetonitrile) and radio-thin layer chromatography method (r-TLC). The calculated relative retention time (RRT) in r-HPLC was 1.02, whereas the retention factor (Rf) in r-TLC was 0.64. Potential impurities from 18F-Fluorocholine synthesis such as ethanol, acetonitrile, dimethylethanolamine and dibromomethane were determined in gas chromatography

  20. Express quality control of chicken eggs by machine vision

    NASA Astrophysics Data System (ADS)

    Gorbunova, Elena V.; Chertov, Aleksandr N.; Peretyagin, Vladimir S.; Korotaev, Valery V.; Arbuzova, Evgeniia A.

    2017-06-01

    The urgency of the task of analyzing the foodstuffs quality is determined by the strategy for the formation of a healthy lifestyle and the rational nutrition of the world population. This applies to products, such as chicken eggs. In particular, it is necessary to control the chicken eggs quality at the farm production prior to incubation in order to eliminate the possible hereditary diseases, as well as high embryonic mortality and a sharp decrease in the quality of the bred young. Up to this day, in the market there are no objective instruments of contactless express quality control as analytical equipment that allow the high-precision quality examination of the chicken eggs, which is determined by the color parameters of the eggshell (color uniformity) and yolk of eggs, and by the presence in the eggshell of various defects (cracks, growths, wrinkles, dirty). All mentioned features are usually evaluated only visually (subjectively) with the help of normalized color standards and ovoscopes. Therefore, this work is devoted to the investigation of the application opportunities of contactless express control method with the help of technical vision to implement the chicken eggs' quality analysis. As a result of the studies, a prototype with the appropriate software was proposed. Experimental studies of this equipment on a representative sample of eggs from chickens of different breeds have been carried out (the total number of analyzed samples exceeds 300 pieces). The correctness of the color analysis was verified by spectrophotometric studies of the surface of the eggshell.

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. Study of twenty preparations of human albumin solution which failed in quality control testing due to elevated sodium content, a poor internal quality control at manufacturing unit.

    PubMed

    Prasad, J P; Madhu, Y; Singh, Surinder; Soni, G R; Agnihotri, N; Singh, Varsha; Kumar, Pradeep; Jain, Nidhi; Prakash, Anu; Singh, Varun

    2016-11-01

    Current study is conducted in our laboratory due to failure in quality control testing of twenty batches of Human Albumin solution in which sodium content is higher than the prescribed limit. These batches are received in short duration from indigenous manufacturer and is the first incident of failure of Human albumin preparation in sodium content of manufacturer. On request of manufacturer, study is conducted to rule out the cause. Repeat testing of each out of specification batch is conducted and a trend analysis is drawn between our findings and manufacturer's results, also study of trend analysis of manufacturer for the last one year. Trend analysis data indicated towards poor consistency of batches with major shift at various time intervals in sodium content of human albumin preparation. Further analysis rule out that non-traceable quality of standard used in the internal quality control testing by manufacturer is the root cause of the problem. Copyright © 2016 International Alliance for Biological Standardization. Published by Elsevier Ltd. All rights reserved.

  7. Analysis of aircraft longitudinal handling qualities

    NASA Technical Reports Server (NTRS)

    Hess, R. A.

    1981-01-01

    The optimal control model (OCM) of the human pilot is applied to the study of aircraft handling qualities. Attention is focused primarily on longitudinal tasks. The modeling technique differs from previous applications of the OCM in that considerable effort is expended in simplifying the pilot/vehicle analysis. After briefly reviewing the OCM, a technique for modeling the pilot controlling higher order systems is introduced. Following this, a simple criterion for determining the susceptibility of an aircraft to pilot induced oscillations (PIO) is formulated. Finally, a model-based metric for pilot rating prediction is discussed. The resulting modeling procedure provides a relatively simple, yet unified approach to the study of a variety of handling qualities problems.

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. [Analysis of the results of the SEIMC External Quality Control Program. Year 2011].

    PubMed

    Ruiz de Gopegui Bordes, Enrique; Guna Serrano, M del Remedio; Orta Mira, Nieves; Ovies, María Rosario; Poveda, Marta; Gimeno Cardona, Concepción

    2013-02-01

    The External Quality Control Program of the Spanish Society of Infectious Diseases and Clinical Microbiology (Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica [SEIMC]) includes controls for bacteriology, serology, mycology, parasitology, mycobacteria, virology, and molecular microbiology. This article presents the most relevant conclusions and lessons from the 2011 controls. Overall, the results obtained in 2011 confirm the excellent skill and good technical standards found in previous years. Nevertheless, erroneous results can be obtained in any laboratory and in clinically relevant determinations. The results of this program highlight the need to implement both internal and external controls, such as those offered by the SEIMC program, in order to ensure maximal quality of microbiological tests. Copyright © 2013 Elsevier España, S.L. All rights reserved.

  18. 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...

  19. 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...

  20. 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...

  1. 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

    Public participation in scientific data collection is a rapidly expanding field. In water quality surveys, the involvement of the public, usually as trained volunteers, generally includes the identification of aquatic invertebrates to a broad taxonomic level. However, quality assurance is often not addressed and remains a key concern for the acceptance of publicly-generated water quality data. The Open Air Laboratories (OPAL) Water Survey, launched in May 2010, aimed to encourage interest and participation in water science by developing a 'low-barrier-to-entry' water quality survey. During 2010, over 3000 participant-selected lakes and ponds were surveyed making this the largest public participation lake and pond survey undertaken to date in the UK. But the OPAL approach of using untrained volunteers and largely anonymous data submission exacerbates quality control concerns. A number of approaches were used in order to address data quality issues including: sensitivity analysis to determine differences due to operator, sampling effort and duration; direct comparisons of identification between participants and experienced scientists; the use of a self-assessment identification quiz; the use of multiple participant surveys to assess data variability at single sites over short periods of time; comparison of survey techniques with other measurement variables and with other metrics generally considered more accurate. These quality control approaches were then used to screen the OPAL Water Survey data to generate a more robust dataset. The OPAL Water Survey results provide a regional and national assessment of water quality as well as a first national picture of water clarity (as suspended solids concentrations). Less than 10 % of lakes and ponds surveyed were 'poor' quality while 26.8 % were in the highest water quality band. It is likely that there will always be a question mark over untrained volunteer generated data simply because quality assurance is uncertain

  2. Opportunities for Applied Behavior Analysis in the Total Quality Movement.

    ERIC Educational Resources Information Center

    Redmon, William K.

    1992-01-01

    This paper identifies critical components of recent organizational quality improvement programs and specifies how applied behavior analysis can contribute to quality technology. Statistical Process Control and Total Quality Management approaches are compared, and behavior analysts are urged to build their research base and market behavior change…

  3. 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.

  4. Quality control, analysis and secure sharing of Luminex® immunoassay data using the open source LabKey Server platform

    PubMed Central

    2013-01-01

    Background Immunoassays that employ multiplexed bead arrays produce high information content per sample. Such assays are now frequently used to evaluate humoral responses in clinical trials. Integrated software is needed for the analysis, quality control, and secure sharing of the high volume of data produced by such multiplexed assays. Software that facilitates data exchange and provides flexibility to perform customized analyses (including multiple curve fits and visualizations of assay performance over time) could increase scientists’ capacity to use these immunoassays to evaluate human clinical trials. Results The HIV Vaccine Trials Network and the Statistical Center for HIV/AIDS Research and Prevention collaborated with LabKey Software to enhance the open source LabKey Server platform to facilitate workflows for multiplexed bead assays. This system now supports the management, analysis, quality control, and secure sharing of data from multiplexed immunoassays that leverage Luminex xMAP® technology. These assays may be custom or kit-based. Newly added features enable labs to: (i) import run data from spreadsheets output by Bio-Plex Manager™ software; (ii) customize data processing, curve fits, and algorithms through scripts written in common languages, such as R; (iii) select script-defined calculation options through a graphical user interface; (iv) collect custom metadata for each titration, analyte, run and batch of runs; (v) calculate dose–response curves for titrations; (vi) interpolate unknown concentrations from curves for titrated standards; (vii) flag run data for exclusion from analysis; (viii) track quality control metrics across runs using Levey-Jennings plots; and (ix) automatically flag outliers based on expected values. Existing system features allow researchers to analyze, integrate, visualize, export and securely share their data, as well as to construct custom user interfaces and workflows. Conclusions Unlike other tools tailored for

  5. Quality control, analysis and secure sharing of Luminex® immunoassay data using the open source LabKey Server platform.

    PubMed

    Eckels, Josh; Nathe, Cory; Nelson, Elizabeth K; Shoemaker, Sara G; Nostrand, Elizabeth Van; Yates, Nicole L; Ashley, Vicki C; Harris, Linda J; Bollenbeck, Mark; Fong, Youyi; Tomaras, Georgia D; Piehler, Britt

    2013-04-30

    Immunoassays that employ multiplexed bead arrays produce high information content per sample. Such assays are now frequently used to evaluate humoral responses in clinical trials. Integrated software is needed for the analysis, quality control, and secure sharing of the high volume of data produced by such multiplexed assays. Software that facilitates data exchange and provides flexibility to perform customized analyses (including multiple curve fits and visualizations of assay performance over time) could increase scientists' capacity to use these immunoassays to evaluate human clinical trials. The HIV Vaccine Trials Network and the Statistical Center for HIV/AIDS Research and Prevention collaborated with LabKey Software to enhance the open source LabKey Server platform to facilitate workflows for multiplexed bead assays. This system now supports the management, analysis, quality control, and secure sharing of data from multiplexed immunoassays that leverage Luminex xMAP® technology. These assays may be custom or kit-based. Newly added features enable labs to: (i) import run data from spreadsheets output by Bio-Plex Manager™ software; (ii) customize data processing, curve fits, and algorithms through scripts written in common languages, such as R; (iii) select script-defined calculation options through a graphical user interface; (iv) collect custom metadata for each titration, analyte, run and batch of runs; (v) calculate dose-response curves for titrations; (vi) interpolate unknown concentrations from curves for titrated standards; (vii) flag run data for exclusion from analysis; (viii) track quality control metrics across runs using Levey-Jennings plots; and (ix) automatically flag outliers based on expected values. Existing system features allow researchers to analyze, integrate, visualize, export and securely share their data, as well as to construct custom user interfaces and workflows. Unlike other tools tailored for Luminex immunoassays, LabKey Server

  6. 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.

  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. [Application of fingerprint chromatogram in quality control of Shen-Mai injection].

    PubMed

    Shi, Xian-zhe; Yang, Jun; Zhao, Chun-xia; Xiong, Jian-hui; Xu, Guo-wang

    2002-07-01

    The theory and practice of traditional Chinese medicine require some comprehensive methods to assess quality of the Chinese herbal medication. Fingerprint chromatogram is one of the feasible approaches to evaluate the quality of Chinese herbal medication. So the fingerprint chromatogram of Shen-Mai injection was established by using reversed-phase high performance liquid chromatography. The chromatographic conditions were as follows: a Hypersil C18 column was used; the mobile phase was composed of water (A) and acetontrile (B) with linear gradient elution (0-50 min, 5%-95% B, volume fraction); the flow rate was 1.0 mL/min and the UV absorbance detection was set at 202 nm. The peak-area ratios of twenty-three fingerprint peaks and internal standard (diphenyl) were taken as the criteria for quality control. The quality differences in various batches and various manufacturers of Shen-Mai injections were investigated by projection discriminance based on principal component analysis. The results show the method developed is convenient, reliable and applicable for the quality control analysis of Shen-Mai injection.

  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. [A strategy of constructing the technological system for quality control of Chinese medicine based on process control and management].

    PubMed

    Cheng, Yi-Yu; Qian, Zhong-Zhi; Zhang, Bo-Li

    2017-01-01

    The current situation, bottleneck problems and severe challenges in quality control technology of Chinese Medicine (CM) are briefly described. It is presented to change the phenomenon related to the post-test as the main means and contempt for process control in drug regulation, reverse the situation of neglecting the development of process control and management technology for pharmaceutical manufacture and reconstruct the technological system for quality control of CM products. The regulation and technology system based on process control and management for controlling CM quality should be established to solve weighty realistic problems of CM industry from the root causes, including backwardness of quality control technology, weakness of quality risk control measures, poor reputation of product quality and so on. By this way, the obstacles from poor controllability of CM product quality could be broken. Concentrating on those difficult problems and weak links in the technical field of CM quality control, it is proposed to build CMC (Chemistry, Manufacturing and Controls) regulation for CM products with Chinese characteristics and promote the regulation international recognition as soon as possible. The CMC technical framework, which is clinical efficacy-oriented, manufacturing manner-centered and process control-focused, was designed. To address the clinical characteristics of traditional Chinese medicine (TCM) and the production feature of CM manufacture, it is suggested to establish quality control engineering for CM manufacturing by integrating pharmaceutical analysis, TCM chemistry, TCM pharmacology, pharmaceutical engineering, control engineering, management engineering and other disciplines. Further, a theoretical model of quality control engineering for CM manufacturing and the methodology of digital pharmaceutical engineering are proposed. A technology pathway for promoting CM standard and realizing the strategic goal of CM internationalization is

  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. Chronic Low Quality Sleep Impairs Postural Control in Healthy Adults.

    PubMed

    Furtado, Fabianne; Gonçalves, Bruno da Silva B; Abranches, Isabela Lopes Laguardia; Abrantes, Ana Flávia; Forner-Cordero, Arturo

    2016-01-01

    The lack of sleep, both in quality and quantity, is an increasing problem in modern society, often related to workload and stress. A number of studies have addressed the effects of acute (total) sleep deprivation on postural control. However, up to date, the effects of chronic sleep deficits, either in quantity or quality, have not been analyzed. Thirty healthy adults participated in the study that consisted of registering activity with a wrist actigraph for more than a week before performing a series of postural control tests. Sleep and circadian rhythm variables were correlated and the sum of activity of the least active 5-h period, L5, a rhythm variable, obtained the greater coefficient value with sleep quality variables (wake after sleep onset WASO and efficiency sleep). Cluster analysis was performed to classify subjects into two groups based on L5 (low and high). The balance tests scores used to asses postural control were measured using Biodex Balance System and were compared between the two groups with different sleep quality. The postural tests were divided into dynamic (platform tilt with eyes open, closed and cursor) and static (clinical test of sensory integration). The results showed that during the tests with eyes closed, the group with worse sleep quality had also worse postural control performance. Lack of vision impairs postural balance more deeply in subjects with chronic sleep inefficiency. Chronic poor sleep quality impairs postural control similarly to total sleep deprivation.

  18. Chronic Low Quality Sleep Impairs Postural Control in Healthy Adults

    PubMed Central

    Gonçalves, Bruno da Silva B.; Abranches, Isabela Lopes Laguardia; Abrantes, Ana Flávia

    2016-01-01

    The lack of sleep, both in quality and quantity, is an increasing problem in modern society, often related to workload and stress. A number of studies have addressed the effects of acute (total) sleep deprivation on postural control. However, up to date, the effects of chronic sleep deficits, either in quantity or quality, have not been analyzed. Thirty healthy adults participated in the study that consisted of registering activity with a wrist actigraph for more than a week before performing a series of postural control tests. Sleep and circadian rhythm variables were correlated and the sum of activity of the least active 5-h period, L5, a rhythm variable, obtained the greater coefficient value with sleep quality variables (wake after sleep onset WASO and efficiency sleep). Cluster analysis was performed to classify subjects into two groups based on L5 (low and high). The balance tests scores used to asses postural control were measured using Biodex Balance System and were compared between the two groups with different sleep quality. The postural tests were divided into dynamic (platform tilt with eyes open, closed and cursor) and static (clinical test of sensory integration). The results showed that during the tests with eyes closed, the group with worse sleep quality had also worse postural control performance. Lack of vision impairs postural balance more deeply in subjects with chronic sleep inefficiency. Chronic poor sleep quality impairs postural control similarly to total sleep deprivation. PMID:27732604

  19. Wellness coaching and health-related quality of life: a case-control difference-in-differences analysis.

    PubMed

    Menon, Jyothi; Paulet, Mindy; Thomas, Joseph

    2012-10-01

    Association between wellness coaching and changes in health-related quality of life over 1 year and 2 years was assessed. Difference-in-differences analysis of covariance assessed association between coaching and change in 8-item short-form health survey (SF-8) summary scores. Ordered logistic models assessed coaching and change in SF-8 individual domain scores. This was a case-control study. Participants in at least one coaching program were more likely to have increases in social functioning after 1 year and less likely to have increases in role physical after 2 years. Participants in nutrition coaching had more positive change in mental component summary scores after 1 year. Participants in stress management had more negative change in mental component summary scores after 1 year and after 2 years and had more negative change in physical component summary scores after 2 years. Findings were mixed regarding association between coaching and change in health-related quality of life.

  20. Quality Assurance and Control Considerations in Environmental Measurements and Monitoring

    NASA Astrophysics Data System (ADS)

    Sedlet, Jacob

    1982-06-01

    Quality assurance and quality control have become accepted as essential parts of all environmental surveillance, measurements, and monitoring programs, both nuclear and non-nuclear. The same principles and details apply to each. It is primarily the final measurement technique that differs. As the desire and need to measure smaller amounts of pollutants with greater accuracy has increased, it has been recognized that quality assurance and control programs are cost-effective in achieving the expected results. Quality assurance (QA) consists of all the actions necessary to provide confidence in the results. Quality control (QC) is a part of QA, and consists of those actions and activities that permit the control of the individual steps in the environmental program. The distinction between the two terms is not always clearly defined, but a sharp division is not necessary. The essential principle of QA and QC is a commitment to high quality results. The essential components of a QA and QC program are a complete, written procedures manual for all parts of the environmental program, the use of standard or validated procedures, participation in applicable interlaboratory comparison or QA programs, replicate analysis and measurement, training of personnel, and a means of auditing or checking that the QA and QC programs are properly conducted. These components are discussed below in some detail.

  1. Report of the international workshop on quality control of monthly climate data

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

    Not Available

    1993-12-31

    The National Climatic Data Center (NCDC), the US Department of Energy`s Carbon Dioxide Information Analysis Center, and the World Meteorological Organization (WMO) cosponsored an international quality control workshop for monthly climate data, October 5--6, 1993, at NCDC. About 40 scientists from around the world participated. The purpose of the meeting was to discuss and compare various quality control methods and to draft recommendations concerning the most successful systems. The near-term goal to improve quality control of CLIMAT messages for the NCDC/WMO publication Monthly Climatic Data for the World was sucessfully met. An electronic bulletin board was established to post errorsmore » and corrections. Improved communications among Global Telecommunication System hubs will be implemented. Advanced quality control algorithms were discussed and improvements were suggested. Further data exchanges were arranged.« less

  2. 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.

  3. 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

  4. 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.

  5. 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...

  6. 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...

  7. 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...

  8. Towards an integrated quality control procedure for eddy-covariance data

    NASA Astrophysics Data System (ADS)

    Vitale, Domenico; Papale, Dario

    2017-04-01

    The eddy-covariance technique is nowadays the most reliable and direct way, allowing to calculate the main fluxes of Sensible and Latent Heat and of Net Ecosystem Exchange, this last being the result of the difference between the CO2 assimilated by photosynthetic activities and those released to the atmosphere through the ecosystem respiration processes. Despite the improvements in accuracy of measurement instruments and software development, the eddy-covariance technique is not suitable under non-ideal conditions respect to the instruments characteristics and the physical assumption behind the technique mainly related to the well-developed and stationary turbulence conditions. Under these conditions the calculated fluxes are not reliable and need to be flagged and discarded. In order to discover these unavoidable "bad" fluxes and build dataset with the highest quality, several tests applied both on high-frequency (10-20 Hz) raw data and on half-hourly times series have been developed in the past years. Nevertheless, there is an increasing need to develop a standardized quality control procedure suitable not only for the analysis of long-term data, but also for the near-real time data processing. In this paper, we review established quality assessment procedures and present an innovative quality control strategy with the purpose of integrating the existing consolidated procedures with robust and advanced statistical tests more suitable for the analysis of time series data. The performance of the proposed quality control strategy is evaluated both on simulated and EC data distributed by the ICOS research infrastructure. It is concluded that the proposed strategy is able to flag and exclude unrealistic fluxes while being reproducible and retaining the largest possible amount of high quality data.

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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.

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. A compilation and analysis of helicopter handling qualities data. Volume 2: Data analysis

    NASA Technical Reports Server (NTRS)

    Heffley, R. K.

    1979-01-01

    A compilation and an analysis of helicopter handling qualities data are presented. Multiloop manual control methods are used to analyze the descriptive data, stability derivatives, and transfer functions for a six degrees of freedom, quasi static model. A compensatory loop structure is applied to coupled longitudinal, lateral and directional equations in such a way that key handling qualities features are examined directly.

  20. 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.

  1. [Investigation on production process quality control of traditional Chinese medicine--Banlangen granule as an example].

    PubMed

    Tan, Manrong; Yan, Dan; Qiu, Lingling; Chen, Longhu; Yan, Yan; Jin, Cheng; Li, Hanbing; Xiao, Xiaohe

    2012-04-01

    For the quality management system of herbal medicines, intermediate and finished products it exists the " short board" effect of methodologies. Based on the concept of process control, new strategies and new methods of the production process quality control had been established with the consideration of the actual production of traditional Chinese medicine an the characteristics of Chinese medicine. Taking Banlangen granule as a practice example, which was effective and widespread application, character identification, determination of index components, chemical fingerprint and biometrics technology were sequentially used respectively to assess the quality of Banlangen herbal medicines, intermediate (water extraction and alcohol precipitation) and finished product. With the transfer rate of chemical information and biological potency as indicators, the effectiveness and transmission of the above different assessments and control methods had been researched. And ultimately, the process quality control methods of Banlangen granule, which were based on chemical composition analysis-biometric analysis, had been set up. It can not only validly solute the current status that there were many manufacturers varying quality of Banlangen granule, but also ensure and enhance its clinical efficacy. Furthermore it provided a foundation for the construction of the quality control of traditional Chinese medicine production process.

  2. 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

  3. Plan delivery quality assurance for CyberKnife: Statistical process control analysis of 350 film-based patient-specific QAs.

    PubMed

    Bellec, J; Delaby, N; Jouyaux, F; Perdrieux, M; Bouvier, J; Sorel, S; Henry, O; Lafond, C

    2017-07-01

    Robotic radiosurgery requires plan delivery quality assurance (DQA) but there has never been a published comprehensive analysis of a patient-specific DQA process in a clinic. We proposed to evaluate 350 consecutive film-based patient-specific DQAs using statistical process control. We evaluated the performance of the process to propose achievable tolerance criteria for DQA validation and we sought to identify suboptimal DQA using control charts. DQAs were performed on a CyberKnife-M6 using Gafchromic-EBT3 films. The signal-to-dose conversion was performed using a multichannel-correction and a scanning protocol that combined measurement and calibration in a single scan. The DQA analysis comprised a gamma-index analysis at 3%/1.5mm and a separate evaluation of spatial and dosimetric accuracy of the plan delivery. Each parameter was plotted on a control chart and control limits were calculated. A capability index (Cpm) was calculated to evaluate the ability of the process to produce results within specifications. The analysis of capability showed that a gamma pass rate of 85% at 3%/1.5mm was highly achievable as acceptance criteria for DQA validation using a film-based protocol (Cpm>1.33). 3.4% of DQA were outside a control limit of 88% for gamma pass-rate. The analysis of the out-of-control DQA helped identify a dosimetric error in our institute for a specific treatment type. We have defined initial tolerance criteria for DQA validations. We have shown that the implementation of a film-based patient-specific DQA protocol with the use of control charts is an effective method to improve patient treatment safety on CyberKnife. Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

  4. Quality and Control of Water Vapor Winds

    NASA Technical Reports Server (NTRS)

    Jedlovec, Gary J.; Atkinson, Robert J.

    1996-01-01

    Water vapor imagery from the geostationary satellites such as GOES, Meteosat, and GMS provides synoptic views of dynamical events on a continual basis. Because the imagery represents a non-linear combination of mid- and upper-tropospheric thermodynamic parameters (three-dimensional variations in temperature and humidity), video loops of these image products provide enlightening views of regional flow fields, the movement of tropical and extratropical storm systems, the transfer of moisture between hemispheres and from the tropics to the mid- latitudes, and the dominance of high pressure systems over particular regions of the Earth. Despite the obvious larger scale features, the water vapor imagery contains significant image variability down to the single 8 km GOES pixel. These features can be quantitatively identified and tracked from one time to the next using various image processing techniques. Merrill et al. (1991), Hayden and Schmidt (1992), and Laurent (1993) have documented the operational procedures and capabilities of NOAA and ESOC to produce cloud and water vapor winds. These techniques employ standard correlation and template matching approaches to wind tracking and use qualitative and quantitative procedures to eliminate bad wind vectors from the wind data set. Techniques have also been developed to improve the quality of the operational winds though robust editing procedures (Hayden and Veldon 1991). These quality and control approaches have limitations, are often subjective, and constrain wind variability to be consistent with model derived wind fields. This paper describes research focused on the refinement of objective quality and control parameters for water vapor wind vector data sets. New quality and control measures are developed and employed to provide a more robust wind data set for climate analysis, data assimilation studies, as well as operational weather forecasting. The parameters are applicable to cloud-tracked winds as well with minor

  5. 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...

  6. 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...

  7. 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...

  8. 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.

  9. 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.

  10. Quality control of regional wall motion analysis in stress Echo 2020.

    PubMed

    Ciampi, Quirino; Picano, Eugenio; Paterni, Marco; Daros, Clarissa Borguezan; Simova, Iana; de Castro E Silva Pretto, José Luis; Scali, Maria Chiara; Gaibazzi, Nicola; Severino, Sergio; Djordjevic-Dikic, Ana; Kasprzak, Jaroslaw D; Zagatina, Angela; Varga, Albert; Lowenstein, Jorge; Merlo, Pablo Martin; Amor, Miguel; Celutkiene, Jelena; Perez, Julio E; Di Salvo, Giovanni; Galderisi, Maurizio; Mori, Fabio; Costantino, Marco Fabio; Massa, Laura; Dekleva, Milica; Chaves, Daniel Quesada; Trambaiolo, Paolo; Citro, Rodolfo; Colonna, Paolo; Rigo, Fausto; Torres, Marco A R; Monte, Ines; Stankovic, Ivan; Neskovic, Aleksander; Cortigiani, Lauro; Re, Federica; Dodi, Claudio; D'Andrea, Antonello; Villari, Bruno; Arystan, Ayana; De Nes, Michele; Carpeggiani, Clara

    2017-12-15

    The trial "Stress Echo (SE) 2020" evaluates novel applications of SE beyond coronary artery disease. The aim of the study was control quality and harmonize reading criteria. One reader from 78 centers of the SE 2020 network asked for credentials to read a set of 20 SE video-clips selected by the core lab. All aspiring centers met the pre-requisite of high-volume and the years of experience in SE ranged from 5 to 31years (mean value 18years). The diagnostic gold standard was a reading by the core lab. The a priori determined pass threshold was 18/20 (≥90%). Of the initial 78 who started, 57 completed the first attempt: individual readers' score on first attempt ranged from 07/20 to 20/20 (accuracy from 35% to 100%, mean 78.7±13%) and 44 readers passed it. There was a very poor correlation between years of experience and the reader's score on first attempt (r=-0.161, p=0.231). Of the 13 readers who failed the first attempt, 12 took it again after the web-based session and their accuracy improved (74% vs. 96%, p<0.001). The kappa inter-observer agreement before and after web-based training was 0.59 on first attempt and rose to 0.91 on the last attempt. In SE reading, the volume of activity or years of experience is not synonymous with diagnostic quality. Qualitative analysis and operator-dependence can become a limiting weakness in clinical practice, in the absence of strict pathways of learning, credentialing and audit. Copyright © 2017 Elsevier B.V. All rights reserved.

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. V/STOL Dynamics, Control, and Flying Qualities

    NASA Technical Reports Server (NTRS)

    Franklin, James A.

    2000-01-01

    This publication presents material that constituted the lectures presented by the author as part of Course AA 234, Dynamics, Control, and Flying Qualities of Vertical/Short Takeoff and Landing (V/STOL) Aircraft that was taught in the Department of Aeronautics and Astronautics at Stanford University. It covers representative operations of vertical and short takeoff and landing (V/STOL) aircraft, a discussion of the pilot's strategy in controlling these aircraft, the equations of motion pertinent to V/STOL tasks, and their application in the analysis of longitudinal and lateral-directional control in hover and forward flight. Following that development, which applies to the characteristics of the basic airframe and propulsion system, the text concludes with a discussion of the contributions of control augmentation in specific flight tasks and of the integration of modern electronic displays with these controls.

  17. Food safety and nutritional quality for the prevention of non communicable diseases: the Nutrient, hazard Analysis and Critical Control Point process (NACCP).

    PubMed

    Di Renzo, Laura; Colica, Carmen; Carraro, Alberto; Cenci Goga, Beniamino; Marsella, Luigi Tonino; Botta, Roberto; Colombo, Maria Laura; Gratteri, Santo; Chang, Ting Fa Margherita; Droli, Maurizio; Sarlo, Francesca; De Lorenzo, Antonino

    2015-04-23

    The important role of food and nutrition in public health is being increasingly recognized as crucial for its potential impact on health-related quality of life and the economy, both at the societal and individual levels. The prevalence of non-communicable diseases calls for a reformulation of our view of food. The Hazard Analysis and Critical Control Point (HACCP) system, first implemented in the EU with the Directive 43/93/CEE, later replaced by Regulation CE 178/2002 and Regulation CE 852/2004, is the internationally agreed approach for food safety control. Our aim is to develop a new procedure for the assessment of the Nutrient, hazard Analysis and Critical Control Point (NACCP) process, for total quality management (TMQ), and optimize nutritional levels. NACCP was based on four general principles: i) guarantee of health maintenance; ii) evaluate and assure the nutritional quality of food and TMQ; iii) give correct information to the consumers; iv) ensure an ethical profit. There are three stages for the application of the NACCP process: 1) application of NACCP for quality principles; 2) application of NACCP for health principals; 3) implementation of the NACCP process. The actions are: 1) identification of nutritional markers, which must remain intact throughout the food supply chain; 2) identification of critical control points which must monitored in order to minimize the likelihood of a reduction in quality; 3) establishment of critical limits to maintain adequate levels of nutrient; 4) establishment, and implementation of effective monitoring procedures of critical control points; 5) establishment of corrective actions; 6) identification of metabolic biomarkers; 7) evaluation of the effects of food intake, through the application of specific clinical trials; 8) establishment of procedures for consumer information; 9) implementation of the Health claim Regulation EU 1924/2006; 10) starting a training program. We calculate the risk assessment as follows

  18. Software Quality Control at Belle II

    NASA Astrophysics Data System (ADS)

    Ritter, M.; Kuhr, T.; Hauth, T.; Gebard, T.; Kristof, M.; Pulvermacher, C.; Belle Software Group, II

    2017-10-01

    Over the last seven years the software stack of the next generation B factory experiment Belle II has grown to over one million lines of C++ and Python code, counting only the part included in offline software releases. There are several thousand commits to the central repository by about 100 individual developers per year. To keep a coherent software stack of high quality that it can be sustained and used efficiently for data acquisition, simulation, reconstruction, and analysis over the lifetime of the Belle II experiment is a challenge. A set of tools is employed to monitor the quality of the software and provide fast feedback to the developers. They are integrated in a machinery that is controlled by a buildbot master and automates the quality checks. The tools include different compilers, cppcheck, the clang static analyzer, valgrind memcheck, doxygen, a geometry overlap checker, a check for missing or extra library links, unit tests, steering file level tests, a sophisticated high-level validation suite, and an issue tracker. The technological development infrastructure is complemented by organizational means to coordinate the development.

  19. 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...

  20. 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...

  1. Plant regeneration of Erigeron breviscapus (vant.) Hand. Mazz. and its chromatographic fingerprint analysis for quality control.

    PubMed

    Liu, Chun-Zhao; Gao, Min; Guo, Bin

    2008-01-01

    An efficient micropropagation system for Erigeron breviscapus (vant.) Hand. Mazz., an important medicinal plant for heart disease, has been developed. Shoot organogenesis occurred from E. breviscapus leaf explants inoculated on a medium supplemented with a combination of plant growth regulators. On average, 17 shoots per leaf explant were produced after 30 days when they were cultured on MS basal salts and vitamin medium containing 5 microM 6-benzylaminopurine (BAP) and 5 microM 1-naphthaleneacetic acid (NAA). All the regenerated shoots formed complete plantlets on a medium containing 2.5-10 microM indole-3-butyric acid (IBA) within 30 days, and 80.2% of the regenerated plantlets survived and grew vigorously in field conditions. Based on the variation in common peaks and the produced amount of the most important bioactive component, scutellarin, a high performance liquid chromatography (HPLC) fingerprinting system was developed for quality control of these micropropagated plants. Chemical constituents in E. breviscapus micropropagated plants varied during plant development from regeneration to maturation, the latter of which showed the most similar phytochemical profile in comparison with mother plants. The regeneration protocol and HPLC fingerprint analysis developed here provided a new approach to quality control of micropropagated plants producing secondary metabolites with significant implications for germplasm conservation.

  2. The application of quality risk management to the bacterial endotoxins test: use of hazard analysis and critical control points.

    PubMed

    Annalaura, Carducci; Giulia, Davini; Stefano, Ceccanti

    2013-01-01

    Risk analysis is widely used in the pharmaceutical industry to manage production processes, validation activities, training, and other activities. Several methods of risk analysis are available (for example, failure mode and effects analysis, fault tree analysis), and one or more should be chosen and adapted to the specific field where they will be applied. Among the methods available, hazard analysis and critical control points (HACCP) is a methodology that has been applied since the 1960s, and whose areas of application have expanded over time from food to the pharmaceutical industry. It can be easily and successfully applied to several processes because its main feature is the identification, assessment, and control of hazards. It can be also integrated with other tools, such as fishbone diagram and flowcharting. The aim of this article is to show how HACCP can be used to manage an analytical process, propose how to conduct the necessary steps, and provide data templates necessary to document and useful to follow current good manufacturing practices. In the quality control process, risk analysis is a useful tool for enhancing the uniformity of technical choices and their documented rationale. Accordingly, it allows for more effective and economical laboratory management, is capable of increasing the reliability of analytical results, and enables auditors and authorities to better understand choices that have been made. The aim of this article is to show how hazard analysis and critical control points can be used to manage bacterial endotoxins testing and other analytical processes in a formal, clear, and detailed manner.

  3. 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.

  4. 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.

  5. Quality control and quality assurance in genotypic data for genome-wide association studies

    PubMed Central

    Laurie, Cathy C.; Doheny, Kimberly F.; Mirel, Daniel B.; Pugh, Elizabeth W.; Bierut, Laura J.; Bhangale, Tushar; Boehm, Frederick; Caporaso, Neil E.; Cornelis, Marilyn C.; Edenberg, Howard J.; Gabriel, Stacy B.; Harris, Emily L.; Hu, Frank B.; Jacobs, Kevin; Kraft, Peter; Landi, Maria Teresa; Lumley, Thomas; Manolio, Teri A.; McHugh, Caitlin; Painter, Ian; Paschall, Justin; Rice, John P.; Rice, Kenneth M.; Zheng, Xiuwen; Weir, Bruce S.

    2011-01-01

    Genome-wide scans of nucleotide variation in human subjects are providing an increasing number of replicated associations with complex disease traits. Most of the variants detected have small effects and, collectively, they account for a small fraction of the total genetic variance. Very large sample sizes are required to identify and validate findings. In this situation, even small sources of systematic or random error can cause spurious results or obscure real effects. The need for careful attention to data quality has been appreciated for some time in this field, and a number of strategies for quality control and quality assurance (QC/QA) have been developed. Here we extend these methods and describe a system of QC/QA for genotypic data in genome-wide association studies. This system includes some new approaches that (1) combine analysis of allelic probe intensities and called genotypes to distinguish gender misidentification from sex chromosome aberrations, (2) detect autosomal chromosome aberrations that may affect genotype calling accuracy, (3) infer DNA sample quality from relatedness and allelic intensities, (4) use duplicate concordance to infer SNP quality, (5) detect genotyping artifacts from dependence of Hardy-Weinberg equilibrium (HWE) test p-values on allelic frequency, and (6) demonstrate sensitivity of principal components analysis (PCA) to SNP selection. The methods are illustrated with examples from the ‘Gene Environment Association Studies’ (GENEVA) program. The results suggest several recommendations for QC/QA in the design and execution of genome-wide association studies. PMID:20718045

  6. 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...

  7. 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...

  8. 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...

  9. Quality Control of High-Dose-Rate Brachytherapy: Treatment Delivery Analysis Using Statistical Process Control

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

    Able, Charles M., E-mail: cable@wfubmc.edu; Bright, Megan; Frizzell, Bart

    Purpose: Statistical process control (SPC) is a quality control method used to ensure that a process is well controlled and operates with little variation. This study determined whether SPC was a viable technique for evaluating the proper operation of a high-dose-rate (HDR) brachytherapy treatment delivery system. Methods and Materials: A surrogate prostate patient was developed using Vyse ordnance gelatin. A total of 10 metal oxide semiconductor field-effect transistors (MOSFETs) were placed from prostate base to apex. Computed tomography guidance was used to accurately position the first detector in each train at the base. The plan consisted of 12 needles withmore » 129 dwell positions delivering a prescribed peripheral dose of 200 cGy. Sixteen accurate treatment trials were delivered as planned. Subsequently, a number of treatments were delivered with errors introduced, including wrong patient, wrong source calibration, wrong connection sequence, single needle displaced inferiorly 5 mm, and entire implant displaced 2 mm and 4 mm inferiorly. Two process behavior charts (PBC), an individual and a moving range chart, were developed for each dosimeter location. Results: There were 4 false positives resulting from 160 measurements from 16 accurately delivered treatments. For the inaccurately delivered treatments, the PBC indicated that measurements made at the periphery and apex (regions of high-dose gradient) were much more sensitive to treatment delivery errors. All errors introduced were correctly identified by either the individual or the moving range PBC in the apex region. Measurements at the urethra and base were less sensitive to errors. Conclusions: SPC is a viable method for assessing the quality of HDR treatment delivery. Further development is necessary to determine the most effective dose sampling, to ensure reproducible evaluation of treatment delivery accuracy.« less

  10. Off-Line Quality Control In Integrated Circuit Fabrication Using Experimental Design

    NASA Astrophysics Data System (ADS)

    Phadke, M. S.; Kackar, R. N.; Speeney, D. V.; Grieco, M. J.

    1987-04-01

    Off-line quality control is a systematic method of optimizing production processes and product designs. It is widely used in Japan to produce high quality products at low cost. The method was introduced to us by Professor Genichi Taguchi who is a Deming-award winner and a former Director of the Japanese Academy of Quality. In this paper we will i) describe the off-line quality control method, and ii) document our efforts to optimize the process for forming contact windows in 3.5 Aim CMOS circuits fabricated in the Murray Hill Integrated Circuit Design Capability Laboratory. In the fabrication of integrated circuits it is critically important to produce contact windows of size very near the target dimension. Windows which are too small or too large lead to loss of yield. The off-line quality control method has improved both the process quality and productivity. The variance of the window size has been reduced by a factor of four. Also, processing time for window photolithography has been substantially reduced. The key steps of off-line quality control are: i) Identify important manipulatable process factors and their potential working levels. ii) Perform fractional factorial experiments on the process using orthogonal array designs. iii) Analyze the resulting data to determine the optimum operating levels of the factors. Both the process mean and the process variance are considered in this analysis. iv) Conduct an additional experiment to verify that the new factor levels indeed give an improvement.

  11. National surveys on internal quality control for blood gas analysis and related electrolytes in clinical laboratories of China.

    PubMed

    Duan, Min; Wang, Wei; Zhao, Haijian; Zhang, Chuanbao; He, Falin; Zhong, Kun; Yuan, Shuai; Wang, Zhiguo

    2018-05-01

    Internal quality control (IQC) is essential for precision evaluation and continuous quality improvement. This study aims to investigate the IQC status of blood gas analysis (BGA) in clinical laboratories of China from 2014 to 2017. IQC information on BGA (including pH, pCO2, pO2, Na+, K+, Ca2+, Cl-) was submitted by external quality assessment (EQA) participant laboratories and collected through Clinet-EQA reporting system in March from 2014 to 2017. First, current CVs were compared among different years and measurement systems. Then, percentages of laboratories meeting five allowable imprecision specifications for each analyte were calculated, respectively. Finally, laboratories were divided into different groups based on control rules and frequency to compare their variation trend. The current CVs of BGA were significantly decreasing from 2014 to 2017. pH and pCO2 got the highest pass rates when compared with the minimum imprecision specification, whereas pO2, Na+, K+, Ca2+, Cl- got the highest pass rates when 1/3 TEa imprecision specification applied. The pass rates of pH, pO2, Na+, K+, Ca2+, Cl- were significantly increasing during the 4 years. The comparisons of current CVs among different measurement systems showed that the precision performance of different analytes among different measurement systems had no regular distribution from 2014 to 2017. The analysis of IQC practice indicated great progress and improvement among different years. The imprecision performance of BGA has improved from 2014 to 2017, but the status of imprecision performance in China remains unsatisfying. Therefore, further investigation and continuous improvement measures should be taken.

  12. [Analysis of feedstuff for pigs, sent in from veterinary practices for quality control].

    PubMed

    Wolf, P; Mösseler, A; Kamphues, J

    2011-01-01

    Nutritional disorders and a reduced performance are common reasons to send in feedstuffs for quality control. The following review illustrates the main nutritional-related problems on pig farms and presents possible causal relationships between feed/feeding and health disorders. The analysis results of feedstuff and drinking water samples that were sent to the institute for animal nutrition between 2000 and 2009 were evaluated retrospectively. Certain trends were revealed. Whereas previously fertility disorders gave rise to analysis of food samples, in recent years the grinding intensity of mixed feeds (potential relationship to gastric ulcers) has become of more interest. Mixed feed in meal form (n=143) showed a usual particle size structure, whereas pelleted and crumbled diets exhibited undesirable, higher proportions of fine particles. A contamination with pests was only found in a few feed samples (0.9% of analysed feedstuffs in 2007). With only a few exceptions the feedstuffs were of a satisfactory hygienic quality. With respect to the chemical composition of the mixed feeds, differences between analysed and labelled levels were detected in terms of crude fibre (63.0% of 138 analysed feed samples). More than 50% of the feedstuffs (n=64) showed aberrations in the botanical composition. Samples of drinking water were checked to an increasing extent (n=120 in 2009) probably due to the fact that drinking water is defined by law as a feedstuff and evaluation criteria exist. Elevated levels of iron and aerobe bacteria (in 50% and 30.8% of samples, respectively) were among the most common findings. The spectrum of analyses has been expanded in recent years. In many cases a relationship could be found between clinical symptoms and alterations within the feed or the drinking water.

  13. 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.

  14. Quality Control in Primary Schools: Progress from 2001-2006

    ERIC Educational Resources Information Center

    Hofman, Roelande H.; de Boom, Jan; Hofman, W. H. Adriaan

    2010-01-01

    This article presents findings of research into the quality control (QC) of schools from 2001-2006. In 2001 several targets for QC were set and the progress of 939 primary schools is presented. Furthermore, using cluster analysis, schools are classified into four QC-types that differ in their focus on school (self) evaluation and school…

  15. Cost analysis of impacts of climate change on regional air quality.

    PubMed

    Liao, Kuo-Jen; Tagaris, Efthimios; Russell, Armistead G; Amar, Praveen; He, Shan; Manomaiphiboon, Kasemsan; Woo, Jung-Hun

    2010-02-01

    Climate change has been predicted to adversely impact regional air quality with resulting health effects. Here a regional air quality model and a technology analysis tool are used to assess the additional emission reductions required and associated costs to offset impacts of climate change on air quality. Analysis is done for six regions and five major cities in the continental United States. Future climate is taken from a global climate model simulation for 2049-2051 using the Intergovernmental Panel on Climate Change (IPCC) A1B emission scenario, and emission inventories are the same as current ones to assess impacts of climate change alone on air quality and control expenses. On the basis of the IPCC A1B emission scenario and current control technologies, least-cost sets of emission reductions for simultaneously offsetting impacts of climate change on regionally averaged 4th highest daily maximum 8-hr average ozone and yearly averaged PM2.5 (particulate matter [PM] with an aerodynamic diameter less than 2.5 microm) for the six regions examined are predicted to range from $36 million (1999$) yr(-1) in the Southeast to $5.5 billion yr(-1) in the Northeast. However, control costs to offset climate-related pollutant increases in urban areas can be greater than the regional costs because of the locally exacerbated ozone levels. An annual cost of $4.1 billion is required for offsetting climate-induced air quality impairment in 2049-2051 in the five cities alone. Overall, an annual cost of $9.3 billion is estimated for offsetting climate change impacts on air quality for the six regions and five cities examined. Much of the additional expense is to reduce increased levels of ozone. Additional control costs for offsetting the impacts everywhere in the United States could be larger than the estimates in this study. This study shows that additional emission controls and associated costs for offsetting climate impacts could significantly increase currently estimated

  16. New patient-controlled abdominal compression method in radiography: radiation dose and image quality.

    PubMed

    Piippo-Huotari, Oili; Norrman, Eva; Anderzén-Carlsson, Agneta; Geijer, Håkan

    2018-05-01

    The radiation dose for patients can be reduced with many methods and one way is to use abdominal compression. In this study, the radiation dose and image quality for a new patient-controlled compression device were compared with conventional compression and compression in the prone position . To compare radiation dose and image quality of patient-controlled compression compared with conventional and prone compression in general radiography. An experimental design with quantitative approach. After obtaining the approval of the ethics committee, a consecutive sample of 48 patients was examined with the standard clinical urography protocol. The radiation doses were measured as dose-area product and analyzed with a paired t-test. The image quality was evaluated by visual grading analysis. Four radiologists evaluated each image individually by scoring nine criteria modified from the European quality criteria for diagnostic radiographic images. There was no significant difference in radiation dose or image quality between conventional and patient-controlled compression. Prone position resulted in both higher dose and inferior image quality. Patient-controlled compression gave similar dose levels as conventional compression and lower than prone compression. Image quality was similar with both patient-controlled and conventional compression and was judged to be better than in the prone position.

  17. Identifying items to assess methodological quality in physical therapy trials: a factor analysis.

    PubMed

    Armijo-Olivo, Susan; Cummings, Greta G; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

    2014-09-01

    Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). A methodological research design was used, and an EFA was performed. Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items.

  18. Human Connectome Project Informatics: quality control, database services, and data visualization

    PubMed Central

    Marcus, Daniel S.; Harms, Michael P.; Snyder, Abraham Z.; Jenkinson, Mark; Wilson, J Anthony; Glasser, Matthew F.; Barch, Deanna M.; Archie, Kevin A.; Burgess, Gregory C.; Ramaratnam, Mohana; Hodge, Michael; Horton, William; Herrick, Rick; Olsen, Timothy; McKay, Michael; House, Matthew; Hileman, Michael; Reid, Erin; Harwell, John; Coalson, Timothy; Schindler, Jon; Elam, Jennifer S.; Curtiss, Sandra W.; Van Essen, David C.

    2013-01-01

    The Human Connectome Project (HCP) has developed protocols, standard operating and quality control procedures, and a suite of informatics tools to enable high throughput data collection, data sharing, automated data processing and analysis, and data mining and visualization. Quality control procedures include methods to maintain data collection consistency over time, to measure head motion, and to establish quantitative modality-specific overall quality assessments. Database services developed as customizations of the XNAT imaging informatics platform support both internal daily operations and open access data sharing. The Connectome Workbench visualization environment enables user interaction with HCP data and is increasingly integrated with the HCP's database services. Here we describe the current state of these procedures and tools and their application in the ongoing HCP study. PMID:23707591

  19. 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...

  20. 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...

  1. Statistical process control methods allow the analysis and improvement of anesthesia care.

    PubMed

    Fasting, Sigurd; Gisvold, Sven E

    2003-10-01

    Quality aspects of the anesthetic process are reflected in the rate of intraoperative adverse events. The purpose of this report is to illustrate how the quality of the anesthesia process can be analyzed using statistical process control methods, and exemplify how this analysis can be used for quality improvement. We prospectively recorded anesthesia-related data from all anesthetics for five years. The data included intraoperative adverse events, which were graded into four levels, according to severity. We selected four adverse events, representing important quality and safety aspects, for statistical process control analysis. These were: inadequate regional anesthesia, difficult emergence from general anesthesia, intubation difficulties and drug errors. We analyzed the underlying process using 'p-charts' for statistical process control. In 65,170 anesthetics we recorded adverse events in 18.3%; mostly of lesser severity. Control charts were used to define statistically the predictable normal variation in problem rate, and then used as a basis for analysis of the selected problems with the following results: Inadequate plexus anesthesia: stable process, but unacceptably high failure rate; Difficult emergence: unstable process, because of quality improvement efforts; Intubation difficulties: stable process, rate acceptable; Medication errors: methodology not suited because of low rate of errors. By applying statistical process control methods to the analysis of adverse events, we have exemplified how this allows us to determine if a process is stable, whether an intervention is required, and if quality improvement efforts have the desired effect.

  2. 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.

  3. In pursuit of quality by viable quality assurance system: the controllers' perceptions.

    PubMed

    Aziz, Anwar

    2011-01-01

    Patients, families and communities expect safe, competent and compassionate nursing care that has always been a core value of nursing. To meet these expectations, a valid and reliable quality assurance (QA) system is crucial to ensure that nurse-graduates are competent, confident and fit to practice. The QA approach is seen to be fundamental for quality improvement, it would be appropriate to consider its influence in the nursing education in Pakistan as the current situation is evident of non-existence of such a system to assure its quality. The data is drawn from a qualitative case study conducted in 2004. Among a purposive sample of 71 nurses inclusive of a group of Controllers were interviewed on one-to-one basis. Interviews were audio taped to reduce the risk of any misinterpretation and to facilitate the exact description of data as it was said. The non-directive, semi-structured and open-ended questionnaire was used to collect data. Thematic analysis of verbatim transcripts of the interviews was done. The study findings reveal a unanimous desire of the nurses to gauge quality of nurse education through efficient and effective quality assurance system. A crucial need is felt to develop a viable quality assurance system to ensure approved level of quality in nursing education to deliver the right care to the right patient at the right time, every time. The continuous quality assurance and improvement (CQAI) framework based on Deming Quality Cycle (Plan, Do, Check and Act) could facilitate appropriate designing and development of mechanism.

  4. Published methodological quality of randomized controlled trials does not reflect the actual quality assessed in protocols

    PubMed Central

    Mhaskar, Rahul; Djulbegovic, Benjamin; Magazin, Anja; Soares, Heloisa P.; Kumar, Ambuj

    2011-01-01

    Objectives To assess whether reported methodological quality of randomized controlled trials (RCTs) reflect the actual methodological quality, and to evaluate the association of effect size (ES) and sample size with methodological quality. Study design Systematic review Setting Retrospective analysis of all consecutive phase III RCTs published by 8 National Cancer Institute Cooperative Groups until year 2006. Data were extracted from protocols (actual quality) and publications (reported quality) for each study. Results 429 RCTs met the inclusion criteria. Overall reporting of methodological quality was poor and did not reflect the actual high methodological quality of RCTs. The results showed no association between sample size and actual methodological quality of a trial. Poor reporting of allocation concealment and blinding exaggerated the ES by 6% (ratio of hazard ratio [RHR]: 0.94, 95%CI: 0.88, 0.99) and 24% (RHR: 1.24, 95%CI: 1.05, 1.43), respectively. However, actual quality assessment showed no association between ES and methodological quality. Conclusion The largest study to-date shows poor quality of reporting does not reflect the actual high methodological quality. Assessment of the impact of quality on the ES based on reported quality can produce misleading results. PMID:22424985

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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.

  12. Quality Aware Compression of Electrocardiogram Using Principal Component Analysis.

    PubMed

    Gupta, Rajarshi

    2016-05-01

    Electrocardiogram (ECG) compression finds wide application in various patient monitoring purposes. Quality control in ECG compression ensures reconstruction quality and its clinical acceptance for diagnostic decision making. In this paper, a quality aware compression method of single lead ECG is described using principal component analysis (PCA). After pre-processing, beat extraction and PCA decomposition, two independent quality criteria, namely, bit rate control (BRC) or error control (EC) criteria were set to select optimal principal components, eigenvectors and their quantization level to achieve desired bit rate or error measure. The selected principal components and eigenvectors were finally compressed using a modified delta and Huffman encoder. The algorithms were validated with 32 sets of MIT Arrhythmia data and 60 normal and 30 sets of diagnostic ECG data from PTB Diagnostic ECG data ptbdb, all at 1 kHz sampling. For BRC with a CR threshold of 40, an average Compression Ratio (CR), percentage root mean squared difference normalized (PRDN) and maximum absolute error (MAE) of 50.74, 16.22 and 0.243 mV respectively were obtained. For EC with an upper limit of 5 % PRDN and 0.1 mV MAE, the average CR, PRDN and MAE of 9.48, 4.13 and 0.049 mV respectively were obtained. For mitdb data 117, the reconstruction quality could be preserved up to CR of 68.96 by extending the BRC threshold. The proposed method yields better results than recently published works on quality controlled ECG compression.

  13. An overview of quality control practices in Ontario with particular reference to cholesterol analysis.

    PubMed

    Krishnan, S; Webb, S; Henderson, A R; Cheung, C M; Nazir, D J; Richardson, H

    1999-03-01

    The Laboratory Proficiency Testing Program (LPTP) assesses the analytical performance of all licensed laboratories in Ontario. The LPTP Enzymes, Cardiac Markers, and Lipids Committee conducted a "Patterns of Practice" survey to assess the in-house quality control (QC) practices of laboratories in Ontario using cholesterol as the QC paradigm. The survey was questionnaire-based seeking information on statistical calculations, software rules, review process and data retention, and so on. Copies of the in-house cholesterol QC graphs were requested. A total of 120 of 210 laboratories were randomly chosen to receive the questionnaires during 1995 and 1996; 115 laboratories responded, although some did not answer all questions. The majority calculate means and standard deviations (SD) every month, using anywhere from 4 to >100 data points. 65% use a fixed mean and SD, while 17% use means calculated from the previous month. A few use a floating or cumulative mean. Some laboratories that do not use fixed means use a fixed SD. About 90% use some form of statistical quality control rules. The most common rules used to detect random error are 1(3s)/R4s while 2(2s)/4(1s)/10x are used for systematic errors. About 20% did not assay any QC at levels >5.5 mmol/L. Quality control data are reviewed daily (technologists), weekly and monthly (supervisors/directors). Most laboratories retain their QC records for up to 3 years on paper and magnetic media. On some QC graphs the mean and SD, QC product lot number, or reference to action logs are not apparent. Quality control practices in Ontario are, therefore, disappointing. Improvement is required in the use of clinically appropriate concentrations of QC material and documentation on QC graphs.

  14. 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

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. Litter quality versus soil microbial community controls over decomposition: a quantitative analysis

    USGS Publications Warehouse

    Cleveland, Cory C.; Reed, Sasha C.; Keller, Adrienne B.; Nemergut, Diana R.; O'Neill, Sean P.; Ostertag, Rebecca; Vitousek, Peter M.

    2014-01-01

    The possible effects of soil microbial community structure on organic matter decomposition rates have been widely acknowledged, but are poorly understood. Understanding these relationships is complicated by the fact that microbial community structure and function are likely to both affect and be affected by organic matter quality and chemistry, thus it is difficult to draw mechanistic conclusions from field studies. We conducted a reciprocal soil inoculum × litter transplant laboratory incubation experiment using samples collected from a set of sites that have similar climate and plant species composition but vary significantly in bacterial community structure and litter quality. The results showed that litter quality explained the majority of variation in decomposition rates under controlled laboratory conditions: over the course of the 162-day incubation, litter quality explained nearly two-thirds (64 %) of variation in decomposition rates, and a smaller proportion (25 %) was explained by variation in the inoculum type. In addition, the relative importance of inoculum type on soil respiration increased over the course of the experiment, and was significantly higher in microcosms with lower litter quality relative to those with higher quality litter. We also used molecular phylogenetics to examine the relationships between bacterial community composition and soil respiration in samples through time. Pyrosequencing revealed that bacterial community composition explained 32 % of the variation in respiration rates. However, equal portions (i.e., 16 %) of the variation in bacterial community composition were explained by inoculum type and litter quality, reflecting the importance of both the meta-community and the environment in bacterial assembly. Taken together, these results indicate that the effects of changing microbial community composition on decomposition are likely to be smaller than the potential effects of climate change and/or litter quality changes in

  3. Manual therapy for tension-type headache related to quality of work life and work presenteeism: Secondary analysis of a randomized controlled trial.

    PubMed

    Monzani, Lucas; Espí-López, Gemma Victoria; Zurriaga, Rosario; Andersen, Lars L

    2016-04-01

    The objective of this research is to evaluate the efficacy of manual therapy for tension-type headache (TTH) in restoring workers quality of work life, and how work presenteeism affects this relation. This study is a secondary analysis of a factorial, randomized clinical trial on manual therapy interventions. Altogether, 80 patients (85% women) with TTH and without current symptoms of any other concomitant disease participated. An experienced therapist delivered the treatment: myofascial inhibitory technique (IT), articulatory technique (AT), combined technique (IT and AT), and control group (no treatment). In general, all treatments as compared to our control group had a large effect (f≥.69) in the improvement of participants' quality of work life. Work presenteeism interacted with TTH treatment type's efficacy on participant's quality of work life. The inhibitory technique lead to higher reports of quality of work life than other treatment options only for participants with very low frequency of work presenteeism. In turn, TTH articulatory treatment techniques resulted in higher reports of quality of work life for a high to very high work presenteeism frequency. Articulatory manipulation technique is the more efficient treatment to improve quality of work life when the frequency of work presenteeism is high. Implications for future research and practice are discussed. Copyright © 2016 Elsevier Ltd. All rights reserved.

  4. 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...

  5. Quality control in the year 2000.

    PubMed

    Schade, B

    1992-01-01

    'Just-in-time' production is a prerequisite for a company to meet the challenges of competition. Manufacturing cycles have been so successfully optimized that release time now has become a significant factor. A vision for a major quality-control (QC) contribution to profitability in this decade seems to be the just-in-time release. Benefits will go beyond cost savings for lower inventory. The earlier detection of problems will reduce rejections and scrap. In addition, problem analysis and problem-solving will be easier. To achieve just-in-time release, advanced automated systems like robots will become the workhorses in QC for high volume pharmaceutical production. The requirements for these systems are extremely high in terms of quality, reliability and ruggedness. Crucial for the success might be advances in use of microelectronics for error checks, system recording, trouble shooting, etc. as well as creative new approaches (for example the use of redundant assay systems).

  6. Quality control in the year 2000

    PubMed Central

    Schade, Bernd

    1992-01-01

    ‘Just-in-time’ production is a prerequisite for a company to meet the challenges of competition. Manufacturing cycles have been so successfully optimized that release time now has become a significant factor. A vision for a major quality-control (QC) contribution to profitability in this decade seems to be the just-in-time release. Benefits will go beyond cost savings for lower inventory. The earlier detection of problems will reduce rejections and scrap. In addition, problem analysis and problem-solving will be easier. To achieve just-in-time release, advanced automated systems like robots will become the workhorses in QC for high volume pharmaceutical production. The requirements for these systems are extremely high in terms of quality, reliability and ruggedness. Crucial for the success might be advances in use of microelectronics for error checks, system recording, trouble shooting, etc. as well as creative new approaches (for example the use of redundant assay systems). PMID:18924930

  7. 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...

  8. 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

  9. 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)…

  10. Standardization and quality control parameters for Muktā Bhasma (calcined pearl)

    PubMed Central

    Joshi, Namrata; Sharma, Khemchand; Peter, Hema; Dash, Manoj Kumar

    2015-01-01

    Background: Muktā Bhasma (MB) is a traditional Ayurvedic preparation for cough, breathlessness, and eye disorders and is a powerful cardiac tonic, mood elevator, and known to promote strength, intellect, and semen production. Objectives: The present research work was conducted to generate fingerprint for raw and processed MB for quality assessment and standardization using classical and other techniques. Setting and Design: Three samples of MB were prepared by purification (śodhana) of Muktā (pearl) followed by repeated calcinations (Māraṇa). Resultant product was subjected to organoleptic tests and Ayurvedic tests for quality control such as rekhāpūrṇatā, vāritaratva, and nirdhūmatva. Materials and Methods: For quality control, physicochemical parameters such as loss on drying, total ash value, acid insoluble ash, specific gravity, pH value, and other tests using techniques such as elemental analysis with energy dispersive X-ray analysis (EDAX), Structural study with powder X-ray diffraction, particle size with scanning electron microscopy (SEM) were carried out on raw Muktā, Śodhita Muktā, and triplicate batches of MB. Results: The study showed that the raw material Muktā was calcium carbonate in aragonite form, which on repeated calcinations was converted into a more stable calcite form. SEM studies revealed that in raw and purified materials the particles were found scattered and unevenly arranged in the range of 718.7–214.7 nm while in final product, uniformly arranged, stable, rod-shaped, and rounded particles with more agglomerates were observed in the range of 279.2–79.93 nm. EDAX analysis revealed calcium as a major ingredient in MB (average 46.32%) which increased gradually in the stages of processing (raw 34.11%, Śodhita 37.5%). Conclusion: Quality control parameters have been quantified for fingerprinting of MB prepared using a particular method. PMID:26600667

  11. Published methodological quality of randomized controlled trials does not reflect the actual quality assessed in protocols.

    PubMed

    Mhaskar, Rahul; Djulbegovic, Benjamin; Magazin, Anja; Soares, Heloisa P; Kumar, Ambuj

    2012-06-01

    To assess whether the reported methodological quality of randomized controlled trials (RCTs) reflects the actual methodological quality and to evaluate the association of effect size (ES) and sample size with methodological quality. Systematic review. This is a retrospective analysis of all consecutive phase III RCTs published by eight National Cancer Institute Cooperative Groups up to 2006. Data were extracted from protocols (actual quality) and publications (reported quality) for each study. Four hundred twenty-nine RCTs met the inclusion criteria. Overall reporting of methodological quality was poor and did not reflect the actual high methodological quality of RCTs. The results showed no association between sample size and actual methodological quality of a trial. Poor reporting of allocation concealment and blinding exaggerated the ES by 6% (ratio of hazard ratio [RHR]: 0.94; 95% confidence interval [CI]: 0.88, 0.99) and 24% (RHR: 1.24; 95% CI: 1.05, 1.43), respectively. However, actual quality assessment showed no association between ES and methodological quality. The largest study to date shows that poor quality of reporting does not reflect the actual high methodological quality. Assessment of the impact of quality on the ES based on reported quality can produce misleading results. Copyright © 2012 Elsevier Inc. All rights reserved.

  12. 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…

  13. Improved Statistical Method For Hydrographic Climatic Records Quality Control

    NASA Astrophysics Data System (ADS)

    Gourrion, J.; Szekely, T.

    2016-02-01

    Climate research benefits from the continuous development of global in-situ hydrographic networks in the last decades. Apart from the increasing volume of observations available on a large range of temporal and spatial scales, a critical aspect concerns the ability to constantly improve the quality of the datasets. In the context of the Coriolis Dataset for ReAnalysis (CORA) version 4.2, a new quality control method based on a local comparison to historical extreme values ever observed is developed, implemented and validated. Temperature, salinity and potential density validity intervals are directly estimated from minimum and maximum values from an historical reference dataset, rather than from traditional mean and standard deviation estimates. Such an approach avoids strong statistical assumptions on the data distributions such as unimodality, absence of skewness and spatially homogeneous kurtosis. As a new feature, it also allows addressing simultaneously the two main objectives of a quality control strategy, i.e. maximizing the number of good detections while minimizing the number of false alarms. The reference dataset is presently built from the fusion of 1) all ARGO profiles up to early 2014, 2) 3 historical CTD datasets and 3) the Sea Mammals CTD profiles from the MEOP database. All datasets are extensively and manually quality controlled. In this communication, the latest method validation results are also presented. The method has been implemented in the latest version of the CORA dataset and will benefit to the next version of the Copernicus CMEMS dataset.

  14. LC-QTOF-MS Analysis and Activity Profiles of Popular Antioxidant Dietary Supplements in Terms of Quality Control

    PubMed Central

    Baj, Tomasz; Sawicki, Rafal; Wanat, Aleksandra; Wojtanowski, Krzysztof Kamil; Ginalska, Grazyna; Zgorka, Grazyna; Szymanska, Jolanta

    2017-01-01

    The dietary supplements with claimed antioxidant activity constitute a substantial part of the dietary supplement market. In this study, we performed the LC-QTOF-MS analysis and investigated the activity profiles of popular antioxidant dietary supplements from different chemical groups in terms of quality control. The commonly used antioxidant tests and statistical analysis revealed that substantial part of the results was comparable if 1 g sample was considered, but while comparing single and daily doses, significant differences in antioxidant values were noticed in all assays. The best antioxidant activity was obtained in ORAC assay (from 142 to 13814 μM of Trolox equivalents per 1 g of sample), and the strongest correlation occurred between TPC and ORAC. The LC-QTOF-MS analysis revealed that catechins were present in samples having the best antioxidant activity and that dietary supplements showing the weakest activity contained very small amount of any chemical constituents. PMID:28642814

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. Statistical Quality Control of Moisture Data in GEOS DAS

    NASA Technical Reports Server (NTRS)

    Dee, D. P.; Rukhovets, L.; Todling, R.

    1999-01-01

    A new statistical quality control algorithm was recently implemented in the Goddard Earth Observing System Data Assimilation System (GEOS DAS). The final step in the algorithm consists of an adaptive buddy check that either accepts or rejects outlier observations based on a local statistical analysis of nearby data. A basic assumption in any such test is that the observed field is spatially coherent, in the sense that nearby data can be expected to confirm each other. However, the buddy check resulted in excessive rejection of moisture data, especially during the Northern Hemisphere summer. The analysis moisture variable in GEOS DAS is water vapor mixing ratio. Observational evidence shows that the distribution of mixing ratio errors is far from normal. Furthermore, spatial correlations among mixing ratio errors are highly anisotropic and difficult to identify. Both factors contribute to the poor performance of the statistical quality control algorithm. To alleviate the problem, we applied the buddy check to relative humidity data instead. This variable explicitly depends on temperature and therefore exhibits a much greater spatial coherence. As a result, reject rates of moisture data are much more reasonable and homogeneous in time and space.

  1. Quality Control System using Simple Implementation of Seven Tools for Batik Textile Manufacturing

    NASA Astrophysics Data System (ADS)

    Ragil Suryoputro, Muhammad; Sugarindra, Muchamad; Erfaisalsyah, Hendy

    2017-06-01

    In order to produce better products and mitigate defect in products, every company must implement a quality control system. Company will find means to implement a quality control system that is capable and reliable. One of the methods is using the simple implementation of the seven tools in quality control defects. The case studied in this research was the level of disability xyz grey fabric on a shuttle loom 2 on the Batik manufacturing company. The seven tools that include: flowchart, check sheet, histogram, scatter diagram combined with control charts, Pareto diagrams and fishbone diagrams (causal diagram). Check sheet results obtained types of defects in the grey fabric was woven xyz is warp, double warp, the warp break, double warp, empty warp, warp tenuous, ugly edges, thick warp, and rust. Based on the analysis of control chart indicates that the process is out of control. This can be seen in the graph control where there is still a lot of outlier data. Based on a scatter diagram shows a positive correlation between the percentage of disability and the number of production. Based on Pareto diagram, repair needs priority is for the dominant type of defect is warp (44%) and based on double warp value histogram is also the highest with a value of 23635.11 m. In addition, based on the analysis of the factors causing defect by fishbone diagram double warp or other types of defects originating from the materials, methods, machines, measurements, man and environment. Thus the company can take to minimize the prevention and repair of defects and improve product quality.

  2. Educational attainment, perceived control and the quality of women's diets.

    PubMed

    Barker, Mary; Lawrence, Wendy; Crozier, Sarah; Robinson, Siân; Baird, Janis; Margetts, Barrie; Cooper, Cyrus

    2009-06-01

    Data from the Southampton Women's Survey have established that women of lower educational attainment have poorer quality diets than those of higher educational attainment. This relationship is strong and graded such that for every increase in level of educational qualification, there is an increase in the likelihood that a woman will have a better quality diet. It is not wholly explained by socio-economic status. Qualitative research carried out in Southampton suggests that women of lower educational attainment may have a poorer diet because they feel they lack control over the food choices they make for themselves and their families. We set out to investigate the relationship between educational attainment, perceived control and quality of diet in a sample of women from Southampton. Cross-sectional study using structured interviews in which women's diet, educational attainment and perceived control were assessed. 19 Children's Centres and baby clinics in Southampton, UK. 372 women, median age 28 years. Quality of diet assessed by prudent diet score produced from principal components analysis of 20-item food frequency questionnaire, and perceived control assessed by a validated questionnaire. Women of lower educational attainment tended to have lower prudent diet scores and lower perceived control scores than women of higher educational attainment. Having a lower prudent diet score was associated with consuming fewer vegetables and vegetable dishes, less wholemeal bread and vegetarian food, and more chips and roast potatoes, meat pies, Yorkshire puddings and pancakes, crisps and snacks, white bread and added sugar. In a regression model both lower educational attainment and lower perceived control were associated with lower prudent diet scores, independent of the effects of confounding factors. However there was an interaction effect such that lower perceived control was only related to prudent diet score in the group of women of lower educational attainment. Women

  3. Effects of control laws and relaxed static stability on vertical ride quality of flexible aircraft

    NASA Technical Reports Server (NTRS)

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

    1977-01-01

    State variable techniques are utilized to generate the RMS vertical load factors for the B-52H and B-1 bombers at low level, mission critical, cruise conditions. A ride quality index is proposed to provide meaningful comparisons between different controls or conditions. Ride quality is shown to be relatively invariant under various popular control laws. Handling quality variations are shown to be major contributors to ride quality variations on both vehicles. Relaxed static stability is artificially implemented on the study vehicles to investigate its effects on ride quality. The B-52H ride quality is generally degraded when handling characteristics are automatically restored by a feedback control to the original values from relaxed stability conditions. The B-1 airplane shows little ride quality sensitivity to the same analysis due to the small rigid body contribution to load factors at the flight condition investigated.

  4. Identifying Items to Assess Methodological Quality in Physical Therapy Trials: A Factor Analysis

    PubMed Central

    Cummings, Greta G.; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

    2014-01-01

    Background Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. Objective The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). Design A methodological research design was used, and an EFA was performed. Methods Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Results Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Limitation Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. Conclusions To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor

  5. 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.

  6. Progressing quality control in environmental impact assessment beyond legislative compliance: An evaluation of the IEMA EIA Quality Mark certification scheme

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

    Bond, Alan, E-mail: alan.bond@uea.ac.uk; Research Unit for Environmental Sciences and Management, North-West University; Fischer, Thomas B, E-mail: fischer@liverpool.ac.uk

    The effectiveness of Environmental Impact Assessment (EIA) systems is contingent on a number of control mechanisms: procedural; judicial; evaluative; public and government agency; professional; and development aid agency. If we assume that procedural and judicial controls are guaranteed in developed EIA systems, then progressing effectiveness towards an acceptable level depends on improving the performance of other control mechanisms over time. These other control mechanisms are either absent, or are typically centrally controlled, requiring public finances; this we argue is an unpopular model in times of greater Government austerity. Here we evaluate a market-based mechanism for improving the performance of evaluativemore » and professional control mechanisms, the UK Institute of Environmental Management and Assessments' EIA Quality Mark. We do this by defining dimensions of effectiveness for the purposes of our evaluation, and by identifying international examples of the approaches taken to delivering the other control measures to validate the approach taken in the EIA Quality Mark. We then evaluate the EIA Quality Mark, when used in combination with legal procedures and an active judiciary, against the effectiveness dimensions and use time-series analysis of registrant data to examine its ability to progress practice. We conclude that the EIA Quality Mark has merit as a model for a market-based mechanism, and may prove a more financially palatable approach for delivering effective EIA in mature systems in countries that lack centralised agency oversight. It may, therefore, be of particular interest to some Member States of the European Union for ensuring forthcoming certification requirements stemming from recent amendments to the EIA Directive. - Highlights: • Quality control mechanisms in EIA are identified. • Effectiveness of EIA is conceptualised for evaluation purposes. • The UK IEMA EIA Quality Mark is introduced as a market-based mechanism.

  7. Austrian Daily Climate Data Rescue and Quality Control

    NASA Astrophysics Data System (ADS)

    Jurkovic, A.; Lipa, W.; Adler, S.; Albenberger, J.; Lechner, W.; Swietli, R.; Vossberg, I.; Zehetner, S.

    2010-09-01

    Checked climate datasets are a "conditio sine qua non" for all projects that are relevant for environment and climate. In the framework of climate change studies and analysis it is essential to work with quality controlled and trustful data. Furthermore these datasets are used as input for various simulation models. In regard to investigations of extreme events, like strong precipitation periods, drought periods and similar ones we need climate data in high temporal resolution (at least in daily resolution). Because of the historical background - during Second World War the majority of our climate sheets were sent to Berlin, where the historical sheets were destroyed by a bomb attack and so important information got lost - only several climate sheets, mostly duplicates, before 1939 are available and stored in our climate data archive. In 1970 the Central Institute for Meteorology and Geodynamics in Vienna started a first attempt to digitize climate data by means of punch cards. With the introduction of a routinely climate data quality control in 1984 we can speak of high-class-checked daily data (finally checked data, quality flag 6). Our group is working on the processing of digitization and quality control of the historical data for the period 1872 to 1983 for 18 years. Since 2007 it was possible to intensify the work (processes) in the framework of an internal project, namely Austrian Climate Data Rescue and Quality Control. The aim of this initiative was - and still is - to supply daily data in an outstanding good and uniform quality. So this project is a kind of pre-project for all scientific projects which are working with daily data. In addition to routine quality checks (that are running since 1984) using the commercial Bull Software we are testing our data with additional open source software, namely ProClim.db. By the use of this spatial and statistical test procedure, the elements air temperature and precipitation - for several sites in Carinthia - could

  8. Application of reiteration of Hankel singular value decomposition in quality control

    NASA Astrophysics Data System (ADS)

    Staniszewski, Michał; Skorupa, Agnieszka; Boguszewicz, Łukasz; Michalczuk, Agnieszka; Wereszczyński, Kamil; Wicher, Magdalena; Konopka, Marek; Sokół, Maria; Polański, Andrzej

    2017-07-01

    Medical centres are obliged to store past medical records, including the results of quality assurance (QA) tests of the medical equipment, which is especially useful in checking reproducibility of medical devices and procedures. Analysis of multivariate time series is an important part of quality control of NMR data. In this work we proposean anomaly detection tool based on Reiteration of Hankel Singular Value Decomposition method. The presented method was compared with external software and authors obtained comparable results.

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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

  18. Pterodon pubescens oil: characterisation, certification of origin and quality control via mass spectrometry fingerprinting analysis.

    PubMed

    Cabral, E C; Sevart, L; Spindola, H M; Coelho, M B; Sousa, I M O; Queiroz, N C A; Foglio, M A; Eberlin, M N; Riveros, J M

    2013-02-01

    The oil obtained from Pterodon pubescens (Leguminosae) seeds are known to display anti-cancer, anti-dermatogenic and anti-nociceptive activitiy. Phytochemical studies have demonstrated that its main constituents are diterpenoids with voucapan skeletons. Considering the potential biological activities of the oil, rapid and efficient methods for assessing its quality would facilitate certification and quality control. To develop a direct mass spectrometric fingerprinting method for the P. pubescens seed oil that would focus on the major diterpenoids constituents, enabling quality control, origin certification and recognition of marker species in commercially available products. Two techniques were used: (i) direct infusion electrospray ionisation (ESI) mass spectrometry after solvent extraction and dilution and (ii) ambient desorption/ionisation via easy ambient sonic-spray ionisation, EASI(+)-MS, performed directly on the seed surface or at a paper surface imprinted with the oil. From a combination of ESI-MS, HRESI-MS and ESI-MS/MS data, 12 diterpenes were characterised, and typical profiles were obtained for the oil extract or the crude oil via both ESI-MS and EASI-MS. These techniques require no or very simple sample preparation protocols and the whole analytical processes with spectra acquisition take just a few minutes. Both techniques, but particularly EASI-MS, provide simple, fast and efficient MS fingerprinting methodologies to characterise the P. pubescens oil with typical (di)terpene profiles being applicable to quality control and certification of authenticity and origin. Copyright © 2012 John Wiley & Sons, Ltd.

  19. Simultaneous determination of six active components by a single standard to determine multicomponents combined with fingerprint analysis for the quality control of Rhizoma Chuanxiong.

    PubMed

    He, Yufei; Li, Qing; Bi, Kaishun

    2015-04-01

    To control the quality of Rhizoma Chuanxiong, a method based on high-performance liquid chromatography method coupled with diode array detection was developed for the quantitative analysis of six active ingredients using a single standard to determine multi-components and chemical fingerprint analysis for the first time. The separation was performed on an Agilent Zorbax SB-C18 column by gradient elution with methanol and aqueous phase (containing 0.5% glacial acetic acid) at a flow rate of 1.0 mL/min. The UV wavelength was set at 274 nm. This assay was fully validated with respect to precision, repeatability, and accuracy. All calibration curves showed good linearity (R(2) > 0.9994) within test ranges. The limit of detection and limit of quantification were lower than 0.01 and 0.03 μg/mL, respectively. The relative standard deviation for repeatability and the intermediate precision of six analytes were less than 1.6 and 2.5%, respectively, the overall recovery was 96.1-103.1%. In addition, fingerprint chromatography using hierarchical clustering analysis and similarity analysis was performed to differentiate and classify the samples. The method described here could provide a more comprehensive and reasonable scientific assessment of the quality of Rhizoma Chuanxiong. Therefore, the strategy is feasible, credible, and is easily and effectively adapted for evaluating the quality control of Rhizoma Chuanxiong. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  20. 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.

  1. MapReduce Based Parallel Bayesian Network for Manufacturing Quality Control

    NASA Astrophysics Data System (ADS)

    Zheng, Mao-Kuan; Ming, Xin-Guo; Zhang, Xian-Yu; Li, Guo-Ming

    2017-09-01

    Increasing complexity of industrial products and manufacturing processes have challenged conventional statistics based quality management approaches in the circumstances of dynamic production. A Bayesian network and big data analytics integrated approach for manufacturing process quality analysis and control is proposed. Based on Hadoop distributed architecture and MapReduce parallel computing model, big volume and variety quality related data generated during the manufacturing process could be dealt with. Artificial intelligent algorithms, including Bayesian network learning, classification and reasoning, are embedded into the Reduce process. Relying on the ability of the Bayesian network in dealing with dynamic and uncertain problem and the parallel computing power of MapReduce, Bayesian network of impact factors on quality are built based on prior probability distribution and modified with posterior probability distribution. A case study on hull segment manufacturing precision management for ship and offshore platform building shows that computing speed accelerates almost directly proportionally to the increase of computing nodes. It is also proved that the proposed model is feasible for locating and reasoning of root causes, forecasting of manufacturing outcome, and intelligent decision for precision problem solving. The integration of bigdata analytics and BN method offers a whole new perspective in manufacturing quality control.

  2. 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...

  3. Water Quality Analysis Simulation

    EPA Pesticide Factsheets

    The Water Quality analysis simulation Program, an enhancement of the original WASP. This model helps users interpret and predict water quality responses to natural phenomena and man-made pollution for variious pollution management decisions.

  4. Sleep quality in patients with xerostomia: a prospective and randomized case-control study.

    PubMed

    Lopez-Jornet, Pia; Lucero Berdugo, Maira; Fernandez-Pujante, Alba; C, Castillo Felipe; Lavella C, Zamora; A, Pons-Fuster; J, Silvestre Rangil; Silvestre, Francisco Javier

    2016-01-01

    Objectives To investigate sleep quality, anxiety/depression and quality-of-life in patients with xerostomia. Materials and methods This prospective, observational, cross-sectional study was conducted among a group of xerostomia patients (n = 30) compared with 30 matched control subjects. The following evaluation scales were used to assess the psychological profile of each patient: the Hospital Anxiety and Depression Scale, the Oral Health Impact Profile-14 (OHIP-14), the Xerostomia Inventory, the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). Results The PSQI obtained 5.3 3 ± 1.78 for patients with xerostomia compared with 4.26 ± 1.01 for control subjects (p = 0.006); ESS obtained 5.7 ± 2.1 for test patients vs 4.4 0 ± 1 for control subjects (p = 0.010). Statistical regression analysis showed that xerostomia was significantly associated with depression (p = 0.027). Conclusions Patients with xerostomia exhibited significant decreases in sleep quality compared with control subjects.

  5. 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…

  6. Exercising Quality Control in Interdisciplinary Education: Toward an Epistemologically Responsible Approach

    ERIC Educational Resources Information Center

    Stein, Zachary; Connell, Michael; Gardner, Howard

    2008-01-01

    This article argues that certain philosophically devised quality control parameters should guide approaches to interdisciplinary education. We sketch the kind of reflections we think are necessary in order to produce epistemologically responsible curricula. We suggest that the two overarching epistemic dimensions of levels of analysis and basic…

  7. 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.

  8. mtDNAmanager: a Web-based tool for the management and quality analysis of mitochondrial DNA control-region sequences

    PubMed Central

    Lee, Hwan Young; Song, Injee; Ha, Eunho; Cho, Sung-Bae; Yang, Woo Ick; Shin, Kyoung-Jin

    2008-01-01

    Background For the past few years, scientific controversy has surrounded the large number of errors in forensic and literature mitochondrial DNA (mtDNA) data. However, recent research has shown that using mtDNA phylogeny and referring to known mtDNA haplotypes can be useful for checking the quality of sequence data. Results We developed a Web-based bioinformatics resource "mtDNAmanager" that offers a convenient interface supporting the management and quality analysis of mtDNA sequence data. The mtDNAmanager performs computations on mtDNA control-region sequences to estimate the most-probable mtDNA haplogroups and retrieves similar sequences from a selected database. By the phased designation of the most-probable haplogroups (both expected and estimated haplogroups), mtDNAmanager enables users to systematically detect errors whilst allowing for confirmation of the presence of clear key diagnostic mutations and accompanying mutations. The query tools of mtDNAmanager also facilitate database screening with two options of "match" and "include the queried nucleotide polymorphism". In addition, mtDNAmanager provides Web interfaces for users to manage and analyse their own data in batch mode. Conclusion The mtDNAmanager will provide systematic routines for mtDNA sequence data management and analysis via easily accessible Web interfaces, and thus should be very useful for population, medical and forensic studies that employ mtDNA analysis. mtDNAmanager can be accessed at . PMID:19014619

  9. 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...

  10. 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...

  11. Quality control in mutation analysis: the European Molecular Genetics Quality Network (EMQN).

    PubMed

    Müller, C R

    2001-08-01

    The demand for clinical molecular genetics testing has steadily grown since its introduction in the 1980s. In order to reach and maintain the agreed quality standards of laboratory medicine, the same internal and external quality assurance (IQA/EQA) criteria have to be applied as for "conventional" clinical chemistry or pathology. In 1996 the European Molecular Genetics Quality Network (EMQN) was established in order to spread QA standards across Europe and to harmonise the existing national activities. EMQN is operated by a central co-ordinator and 17 national partners from 15 EU countries; since 1998 it is being funded by the EU commission for a 3-year period. EMQN promotes QA by two tools: by providing disease-specific best practice meetings (BPM) and EQA schemes. A typical BPM is focussed on one disease or group of related disorders. International experts report on the latest news of gene characterisation and function and the state-of-the-art techniques for mutation detection. Disease-specific EQA schemes are provided by experts in the field. DNA samples are sent out together with mock clinical referrals and a diagnostic question is asked. Written reports must be returned which are marked for genotyping and interpretation. So far, three BPMs have been held and six EQA schemes are in operation at various stages. Although mutation types and diagnostic techniques varied considerably between schemes, the overall technical performance showed a high diagnostic standard. Nevertheless, serious genotyping errors have been occurred in some schemes which underline the necessity of quality assurance efforts. The European Molecular Genetics Quality Network provides a necessary platform for the internal and external quality assurance of molecular genetic testing.

  12. 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...

  13. 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)…

  14. 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...

  15. 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...

  16. 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...

  17. Improved statistical method for temperature and salinity quality control

    NASA Astrophysics Data System (ADS)

    Gourrion, Jérôme; Szekely, Tanguy

    2017-04-01

    Climate research and Ocean monitoring benefit from the continuous development of global in-situ hydrographic networks in the last decades. Apart from the increasing volume of observations available on a large range of temporal and spatial scales, a critical aspect concerns the ability to constantly improve the quality of the datasets. In the context of the Coriolis Dataset for ReAnalysis (CORA) version 4.2, a new quality control method based on a local comparison to historical extreme values ever observed is developed, implemented and validated. Temperature, salinity and potential density validity intervals are directly estimated from minimum and maximum values from an historical reference dataset, rather than from traditional mean and standard deviation estimates. Such an approach avoids strong statistical assumptions on the data distributions such as unimodality, absence of skewness and spatially homogeneous kurtosis. As a new feature, it also allows addressing simultaneously the two main objectives of an automatic quality control strategy, i.e. maximizing the number of good detections while minimizing the number of false alarms. The reference dataset is presently built from the fusion of 1) all ARGO profiles up to late 2015, 2) 3 historical CTD datasets and 3) the Sea Mammals CTD profiles from the MEOP database. All datasets are extensively and manually quality controlled. In this communication, the latest method validation results are also presented. The method has already been implemented in the latest version of the delayed-time CMEMS in-situ dataset and will be deployed soon in the equivalent near-real time products.

  18. 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

  19. 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…

  20. Quality Control of Structural MRI Images Applied Using FreeSurfer—A Hands-On Workflow to Rate Motion Artifacts

    PubMed Central

    Backhausen, Lea L.; Herting, Megan M.; Buse, Judith; Roessner, Veit; Smolka, Michael N.; Vetter, Nora C.

    2016-01-01

    In structural magnetic resonance imaging motion artifacts are common, especially when not scanning healthy young adults. It has been shown that motion affects the analysis with automated image-processing techniques (e.g., FreeSurfer). This can bias results. Several developmental and adult studies have found reduced volume and thickness of gray matter due to motion artifacts. Thus, quality control is necessary in order to ensure an acceptable level of quality and to define exclusion criteria of images (i.e., determine participants with most severe artifacts). However, information about the quality control workflow and image exclusion procedure is largely lacking in the current literature and the existing rating systems differ. Here, we propose a stringent workflow of quality control steps during and after acquisition of T1-weighted images, which enables researchers dealing with populations that are typically affected by motion artifacts to enhance data quality and maximize sample sizes. As an underlying aim we established a thorough quality control rating system for T1-weighted images and applied it to the analysis of developmental clinical data using the automated processing pipeline FreeSurfer. This hands-on workflow and quality control rating system will aid researchers in minimizing motion artifacts in the final data set, and therefore enhance the quality of structural magnetic resonance imaging studies. PMID:27999528

  1. 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

  2. The loss of SMG1 causes defects in quality control pathways in Physcomitrella patens

    PubMed Central

    Lang, Daniel; Zimmer, Andreas D; Causier, Barry

    2018-01-01

    Abstract Nonsense-mediated mRNA decay (NMD) is important for RNA quality control and gene regulation in eukaryotes. NMD targets aberrant transcripts for decay and also directly influences the abundance of non-aberrant transcripts. In animals, the SMG1 kinase plays an essential role in NMD by phosphorylating the core NMD factor UPF1. Despite SMG1 being ubiquitous throughout the plant kingdom, little is known about its function, probably because SMG1 is atypically absent from the genome of the model plant, Arabidopsis thaliana. By combining our previously established SMG1 knockout in moss with transcriptome-wide analysis, we reveal the range of processes involving SMG1 in plants. Machine learning assisted analysis suggests that 32% of multi-isoform genes produce NMD-targeted transcripts and that splice junctions downstream of a stop codon act as the major determinant of NMD targeting. Furthermore, we suggest that SMG1 is involved in other quality control pathways, affecting DNA repair and the unfolded protein response, in addition to its role in mRNA quality control. Consistent with this, smg1 plants have increased susceptibility to DNA damage, but increased tolerance to unfolded protein inducing agents. The potential involvement of SMG1 in RNA, DNA and protein quality control has major implications for the study of these processes in plants. PMID:29596649

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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.

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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

    Background Different studies have shown insufficient blood pressure (BP) control in hypertensive patients. Multiple factors influence hypertension management, and the quality of primary care is one of them. We decided therefore to evaluate the effectiveness of a quality improvement plan directed at professionals of Primary Health Care Teams (PHCT) with the aim to achieve a better control of hypertension. The hypothesis of the study is that the implementation of a quality improvement plan will improve the control of hypertension. The primary aim of this study will be to evaluate the effectiveness of this plan. Methods and design Design: multicentric study quasi-experimental before – after with control group. The non-randomised allocation of the intervention will be done at PHCT level. Setting: 18 PHCT in the Barcelona province (Spain). Sample: all patients with a diagnosis of hypertension (population based study). Exclusion criteria: patients with a diagnosis of hypertension made later than 01/01/2006 and patients younger than 18 years. Intervention: a quality improvement plan, which targets primary health care professionals and includes educational sessions, feedback to health professionals, audit and implementation of recommended clinical practice guidelines for the management of hypertensive patients. Measurements: age, sex, associated co-morbidity (diabetes mellitus type I and II, heart failure and renal failure). The following variables will be recorded: BP measurement, cardiovascular risk and antihypertensive drugs used. Results will be measured before the start of the intervention and twelve months after the start of the study. Dependent variable: prevalence of hypertensive patients with poor BP control. Analysis: Chi-square test and Student's t-test will be used to measure the association between independent qualitative and quantitative variables, respectively. Non-parametric tests will be used for the analysis of non-normally distributed variables

  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. 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...

  1. [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.

  2. SIMBAD quality-control

    NASA Technical Reports Server (NTRS)

    Lesteven, Soizick

    1992-01-01

    The astronomical database SIMBAD developed at the Centre de donnees astronomiques de Strasbourg presently contains 760,000 objects (stellar and non-stellar). It has the unique characteristic of being structured specifically for astronomical objects. All types of heterogeneous data (bibliographic references, measurements, and sets of identification) are connected with each object. The attributes that define quality of the database include the following. Reliability: cross-identification should not rely upon just exact values object coordinates. It also means that information attached to one simple object should be consistent. The existing data must be controlled in order to start with a reliable base and to cross-identify new data assuring the quality as data grows. Exhaustivity: delays between publication of new informations and their inclusion in the database should be as short as possible. The integrity of the database has to be maintained as data accumulates. Taking the amount of data into consideration and the rate of new data production, it is necessary to use automatic methods. One of the possibilities is to use multivariate data analysis. The factor-space is a n-dimensional relevancy space which is described by the n-axes representing a set of n subject matter headings; the words and phrases can be used to scale the axes and the documents are then a vector average of the terms within them. The application reported herein is based on the NASA-STI bibliographical database. The selected data concern astronomy, astrophysics, and space radiation (102,963 references from 1975 to 1991 included 8070 keywords). The F-space is built from this bibliographical data. By comparing the F-space position obtained from the NASA-STI keywords with the F-space position obtained from the SIMBAD references, the authors will be able to show whether it is possible to retrieve information with a restricted set of words only. If the comparison is valid, this will be a way to enter

  3. Quality Management and Control of Low Pressure Cast Aluminum Alloy

    NASA Astrophysics Data System (ADS)

    Zhang, Dianxi; Zhang, Yanbo; Yang, Xiufan; Chen, Zhaosong; Jiang, Zelan

    2018-01-01

    This paper briefly reviews the history of low pressure casting and summarizes the major production processes of low pressure casting. It briefly introduces the quality management and control of low pressure cast aluminum alloy. The main processes include are: preparation of raw materials, Melting, refining, physical and chemical analysis, K-mode inspection, sand core, mold, heat treatment and so on.

  4. 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...

  5. Automated quality control for stitching of textile articles

    NASA Technical Reports Server (NTRS)

    Miller, Jeffrey L. (Inventor); Markus, Alan (Inventor)

    1999-01-01

    Quality control for stitching of a textile article is performed by measuring thread tension in the stitches as the stitches are being made, determining locations of the stitches, and generating a map including the locations and stitching data derived from the measured thread tensions. The stitching data can be analyzed, off-line or in real time, to identify defective stitches. Defective stitches can then be repaired. Real time analysis of the thread tensions allows problems such as broken needle threads to be corrected immediately.

  6. Computer applications in scientific balloon quality control

    NASA Astrophysics Data System (ADS)

    Seely, Loren G.; Smith, Michael S.

    Seal defects and seal tensile strength are primary determinants of product quality in scientific balloon manufacturing; they therefore require a unit of quality measure. The availability of inexpensive and powerful data-processing tools can serve as the basis of a quality-trends-discerning analysis of products. The results of one such analysis are presently given in graphic form for use on the production floor. Software descriptions and their sample outputs are presented, together with a summary of overall and long-term effects of these methods on product quality.

  7. 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...

  8. Investigation effect of oral chamomilla on sleep quality in elderly people in Isfahan: A randomized control trial.

    PubMed

    Abdullahzadeh, Mehrdad; Matourypour, Pegah; Naji, Sayed Ali

    2017-01-01

    Elderly people often suffer from sleep disorders. Chamomile due to the many health benefits such as sedation may be effective in improving sleep quality in elderly people. This study aimed to determine the effect of Matricaria chamomilla extract on sleep quality in elderly people admitted to nursing homes of Isfahan in 2014. The present study is a quasi-experimental clinical trial. The study population was 77 cases of elderly hospitalized in nursing homes. Participants were selected through random continuous sampling and divided into intervention and control groups. The intervention group received 400 mg oral capsules of chamomile twice daily, after lunch and after dinner for 4 weeks. The control group did not receive the intervention. Sleep quality in older adults before and after intervention were compared using the Pittsburgh Sleep Quality Index questionnaire. Data were analyzed using descriptive statistics and paired t - and independent t -tests, one-way analysis of variance and liner regression analysis, using SPSS software version 17. Before intervention, the mean score of sleep quality both experimental and control groups showed no significant difference ( P > 0.05). After intervention, the mean score of sleep quality was a significant difference between experimental and control groups ( P < 0.001). Oral administration of chamomile extract has sedative properties in sleep quality of hospitalized elderly patients in nursing homes. Therefore, it can be used in similar cases and nursing care.

  9. Masking as an effective quality control method for next-generation sequencing data analysis.

    PubMed

    Yun, Sajung; Yun, Sijung

    2014-12-13

    Next generation sequencing produces base calls with low quality scores that can affect the accuracy of identifying simple nucleotide variation calls, including single nucleotide polymorphisms and small insertions and deletions. Here we compare the effectiveness of two data preprocessing methods, masking and trimming, and the accuracy of simple nucleotide variation calls on whole-genome sequence data from Caenorhabditis elegans. Masking substitutes low quality base calls with 'N's (undetermined bases), whereas trimming removes low quality bases that results in a shorter read lengths. We demonstrate that masking is more effective than trimming in reducing the false-positive rate in single nucleotide polymorphism (SNP) calling. However, both of the preprocessing methods did not affect the false-negative rate in SNP calling with statistical significance compared to the data analysis without preprocessing. False-positive rate and false-negative rate for small insertions and deletions did not show differences between masking and trimming. We recommend masking over trimming as a more effective preprocessing method for next generation sequencing data analysis since masking reduces the false-positive rate in SNP calling without sacrificing the false-negative rate although trimming is more commonly used currently in the field. The perl script for masking is available at http://code.google.com/p/subn/. The sequencing data used in the study were deposited in the Sequence Read Archive (SRX450968 and SRX451773).

  10. Frequency analysis of urban runoff quality in an urbanizing catchment of Shenzhen, China

    NASA Astrophysics Data System (ADS)

    Qin, Huapeng; Tan, Xiaolong; Fu, Guangtao; Zhang, Yingying; Huang, Yuefei

    2013-07-01

    This paper investigates the frequency distribution of urban runoff quality indicators using a long-term continuous simulation approach and evaluates the impacts of proposed runoff control schemes on runoff quality in an urbanizing catchment in Shenzhen, China. Four different indicators are considered to provide a comprehensive assessment of the potential impacts: total runoff depth, event pollutant load, Event Mean Concentration, and peak concentration during a rainfall event. The results obtained indicate that urban runoff quantity and quality in the catchment have significant variations in rainfall events and a very high rate of non-compliance with surface water quality regulations. Three runoff control schemes with the capacity to intercept an initial runoff depth of 5 mm, 10 mm, and 15 mm are evaluated, respectively, and diminishing marginal benefits are found with increasing interception levels in terms of water quality improvement. The effects of seasonal variation in rainfall events are investigated to provide a better understanding of the performance of the runoff control schemes. The pre-flood season has higher risk of poor water quality than other seasons after runoff control. This study demonstrates that frequency analysis of urban runoff quantity and quality provides a probabilistic evaluation of pollution control measures, and thus helps frame a risk-based decision making for urban runoff quality management in an urbanizing catchment.

  11. [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.

  12. Rapid evaluation and quality control of next generation sequencing data with FaQCs.

    PubMed

    Lo, Chien-Chi; Chain, Patrick S G

    2014-11-19

    Next generation sequencing (NGS) technologies that parallelize the sequencing process and produce thousands to millions, or even hundreds of millions of sequences in a single sequencing run, have revolutionized genomic and genetic research. Because of the vagaries of any platform's sequencing chemistry, the experimental processing, machine failure, and so on, the quality of sequencing reads is never perfect, and often declines as the read is extended. These errors invariably affect downstream analysis/application and should therefore be identified early on to mitigate any unforeseen effects. Here we present a novel FastQ Quality Control Software (FaQCs) that can rapidly process large volumes of data, and which improves upon previous solutions to monitor the quality and remove poor quality data from sequencing runs. Both the speed of processing and the memory footprint of storing all required information have been optimized via algorithmic and parallel processing solutions. The trimmed output compared side-by-side with the original data is part of the automated PDF output. We show how this tool can help data analysis by providing a few examples, including an increased percentage of reads recruited to references, improved single nucleotide polymorphism identification as well as de novo sequence assembly metrics. FaQCs combines several features of currently available applications into a single, user-friendly process, and includes additional unique capabilities such as filtering the PhiX control sequences, conversion of FASTQ formats, and multi-threading. The original data and trimmed summaries are reported within a variety of graphics and reports, providing a simple way to do data quality control and assurance.

  13. 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.

  14. Online Error Reporting for Managing Quality Control Within Radiology.

    PubMed

    Golnari, Pedram; Forsberg, Daniel; Rosipko, Beverly; Sunshine, Jeffrey L

    2016-06-01

    Information technology systems within health care, such as picture archiving and communication system (PACS) in radiology, can have a positive impact on production but can also risk compromising quality. The widespread use of PACS has removed the previous feedback loop between radiologists and technologists. Instead of direct communication of quality discrepancies found for an examination, the radiologist submitted a paper-based quality-control report. A web-based issue-reporting tool can help restore some of the feedback loop and also provide possibilities for more detailed analysis of submitted errors. The purpose of this study was to evaluate the hypothesis that data from use of an online error reporting software for quality control can focus our efforts within our department. For the 372,258 radiologic examinations conducted during the 6-month period study, 930 errors (390 exam protocol, 390 exam validation, and 150 exam technique) were submitted, corresponding to an error rate of 0.25 %. Within the category exam protocol, technologist documentation had the highest number of submitted errors in ultrasonography (77 errors [44 %]), while imaging protocol errors were the highest subtype error for computed tomography modality (35 errors [18 %]). Positioning and incorrect accession had the highest errors in the exam technique and exam validation error category, respectively, for nearly all of the modalities. An error rate less than 1 % could signify a system with a very high quality; however, a more likely explanation is that not all errors were detected or reported. Furthermore, staff reception of the error reporting system could also affect the reporting rate.

  15. 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.

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. Assuring quality in narrative analysis.

    PubMed

    Bailey, P H

    1996-04-01

    Many nurse-researchers using qualitative strategies have been concerned with assuring quality in their work. The early literature reveals that the concepts of validity and reliability, as understood from the positivist perspective, are somehow inappropriate and inadequate when applied to interpretive research. More recent literature suggests that because of the positivist and interpretive paradigms are epistemologically divergent, the transfer of quality criteria from one perspective to the other is not automatic or even reasonable. The purpose of this article, therefore, is to clarify what the terms quality, trustworthiness, credibility, authenticity, and goodness mean in qualitative research findings. The process of assuring quality, validation, in qualitative research will be discussed within the context of the interpretive method, narrative analysis. A brief review of quality in narrative analysis nursing research will also be presented.

  14. 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...

  15. [Quality evaluation of Artemisiae Argyi Folium based on fingerprint analysis and quantitative analysis of multicomponents].

    PubMed

    Guo, Long; Jiao, Qian; Zhang, Dan; Liu, Ai-Peng; Wang, Qian; Zheng, Yu-Guang

    2018-03-01

    Artemisiae Argyi Folium, the dried leaves of Artemisia argyi, has been widely used in traditional Chinese and folk medicines for treatment of hemorrhage, pain, and skin itch. Phytochemical studies indicated that volatile oil, organic acid and flavonoids were the main bioactive components in Artemisiae Argyi Folium. Compared to the volatile compounds, the research of nonvolatile compounds in Artemisiae Argyi Folium are limited. In the present study, an accurate and reliable fingerprint approach was developed using HPLC for quality control of Artemisiae Argyi Folium. A total of 10 common peaks were marked,and the similarity of all the Artemisiae Argyi Folium samples was above 0.940. The established fingerprint method could be used for quality control of Artemisiae Argyi Folium. Furthermore, an HPLC method was applied for simultaneous determination of seven bioactive compounds including five organic acids and two flavonoids in Artemisiae Argyi Folium and Artemisiae Lavandulaefoliae Folium samples. Moreover, chemometrics methods such as hierarchical clustering analysis and principal component analysis were performed to compare and discriminate the Artemisiae Argyi Folium and Artemisiae Lavandulaefoliae Folium based on the quantitative data of analytes. The results indicated that simultaneous quantification of multicomponents coupled with chemometrics analysis could be a well-acceptable strategy to identify and evaluate the quality of Artemisiae Argyi Folium. Copyright© by the Chinese Pharmaceutical Association.

  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. 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.

  20. qcML: An Exchange Format for Quality Control Metrics from Mass Spectrometry Experiments*

    PubMed Central

    Walzer, Mathias; Pernas, Lucia Espona; Nasso, Sara; Bittremieux, Wout; Nahnsen, Sven; Kelchtermans, Pieter; Pichler, Peter; van den Toorn, Henk W. P.; Staes, An; Vandenbussche, Jonathan; Mazanek, Michael; Taus, Thomas; Scheltema, Richard A.; Kelstrup, Christian D.; Gatto, Laurent; van Breukelen, Bas; Aiche, Stephan; Valkenborg, Dirk; Laukens, Kris; Lilley, Kathryn S.; Olsen, Jesper V.; Heck, Albert J. R.; Mechtler, Karl; Aebersold, Ruedi; Gevaert, Kris; Vizcaíno, Juan Antonio; Hermjakob, Henning; Kohlbacher, Oliver; Martens, Lennart

    2014-01-01

    Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities. All information about qcML is available at http://code.google.com/p/qcml. PMID:24760958

  1. qcML: an exchange format for quality control metrics from mass spectrometry experiments.

    PubMed

    Walzer, Mathias; Pernas, Lucia Espona; Nasso, Sara; Bittremieux, Wout; Nahnsen, Sven; Kelchtermans, Pieter; Pichler, Peter; van den Toorn, Henk W P; Staes, An; Vandenbussche, Jonathan; Mazanek, Michael; Taus, Thomas; Scheltema, Richard A; Kelstrup, Christian D; Gatto, Laurent; van Breukelen, Bas; Aiche, Stephan; Valkenborg, Dirk; Laukens, Kris; Lilley, Kathryn S; Olsen, Jesper V; Heck, Albert J R; Mechtler, Karl; Aebersold, Ruedi; Gevaert, Kris; Vizcaíno, Juan Antonio; Hermjakob, Henning; Kohlbacher, Oliver; Martens, Lennart

    2014-08-01

    Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics. We therefore developed the qcML format, an XML-based standard that follows the design principles of the related mzML, mzIdentML, mzQuantML, and TraML standards from the HUPO-PSI (Proteomics Standards Initiative). In addition to the XML format, we also provide tools for the calculation of a wide range of quality metrics as well as a database format and interconversion tools, so that existing LIMS systems can easily add relational storage of the quality control data to their existing schema. We here describe the qcML specification, along with possible use cases and an illustrative example of the subsequent analysis possibilities. All information about qcML is available at http://code.google.com/p/qcml. © 2014 by The American Society for Biochemistry and Molecular Biology, Inc.

  2. ATAD control goals through the analysis of process variables and evaluation of quality, production and cost.

    PubMed

    Nájera, S; Gil-Martínez, M; Zambrano, J A

    2015-01-01

    The aim of this paper is to establish and quantify different operational goals and control strategies in autothermal thermophilic aerobic digestion (ATAD). This technology appears as an alternative to conventional sludge digestion systems. During the batch-mode reaction, high temperatures promote sludge stabilization and pasteurization. The digester temperature is usually the only online, robust, measurable variable. The average temperature can be regulated by manipulating both the air injection and the sludge retention time. An improved performance of diverse biochemical variables can be achieved through proper manipulation of these inputs. However, a better quality of treated sludge usually implies major operating costs or a lower production rate. Thus, quality, production and cost indices are defined to quantify the outcomes of the treatment. Based on these, tradeoff control strategies are proposed and illustrated through some examples. This paper's results are relevant to guide plant operators, to design automatic control systems and to compare or evaluate the control performance on ATAD systems.

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. Quality improvement in coronary care: analysis of sustainability and impact on adjacent clinical measures after a Swedish controlled, multicenter quality improvement collaborative.

    PubMed

    Carlhed, Rickard; Bellman, Christina; Bojestig, Mats; Bojö, Leif; Peterson, Anette; Lindahl, Bertil

    2012-08-01

    Quality Improvement in Coronary Care, a Swedish multicenter, controlled quality-improvement (QI) collaborative, has shown significant improvements in adherence to national guidelines for acute myocardial infarction, as well as improved clinical outcome. The objectives of this report were to describe the sustainability of the improvements after withdrawal of study support and a consolidation period of 3 months and to report whether improvements were disseminated to treatments and diagnostic procedures other than those primarily targeted. Multidisciplinary teams from 19 Swedish hospitals were educated in basic QI methodologies. Another 19 matched hospitals were included as blinded controls. All evaluations were made on the hospital level, and data were obtained from a national quality registry, Swedish Register of Information and Knowledge About Swedish Heart Intensive Care Admissions (RIKS-HIA). Sustainability indicators consisted of use of angiotensin-converting enzyme inhibitors, lipid-lowering therapy, clopidogrel, low-molecular weight heparin, and coronary angiography. Dissemination indicators were use of echocardiography, stress tests, and reperfusion therapy; time delays; and length of stay. At the reevaluation period of 6 months, the improvements at the QI intervention hospitals were sustained in all indicators but 1 (angiotensin-converting enzyme inhibitor). Between the 2 measurements, the control group improved significantly in all but 1 indicator (angiotensin-converting enzyme inhibitor). However, at the second measurement, the absolute adherence rates of the intervention hospitals were still numerically higher in all 5 indicators, and significantly so in 1 (clopidogrel). No significant changes were observed for the dissemination indicators. The combination of a systematic QI collaborative with a national, interactive quality registry might lead to substantial and sustained improvements in the quality of acute myocardial infarction care. However, to

  19. 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...

  20. 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...

  1. 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…

  2. Quality Assessment of Urinary Stone Analysis: Results of a Multicenter Study of Laboratories in Europe

    PubMed Central

    Siener, Roswitha; Buchholz, Noor; Daudon, Michel; Hess, Bernhard; Knoll, Thomas; Osther, Palle J.; Reis-Santos, José; Sarica, Kemal; Traxer, Olivier; Trinchieri, Alberto

    2016-01-01

    After stone removal, accurate analysis of urinary stone composition is the most crucial laboratory diagnostic procedure for the treatment and recurrence prevention in the stone-forming patient. The most common techniques for routine analysis of stones are infrared spectroscopy, X-ray diffraction and chemical analysis. The aim of the present study was to assess the quality of urinary stone analysis of laboratories in Europe. Nine laboratories from eight European countries participated in six quality control surveys for urinary calculi analyses of the Reference Institute for Bioanalytics, Bonn, Germany, between 2010 and 2014. Each participant received the same blinded test samples for stone analysis. A total of 24 samples, comprising pure substances and mixtures of two or three components, were analysed. The evaluation of the quality of the laboratory in the present study was based on the attainment of 75% of the maximum total points, i.e. 99 points. The methods of stone analysis used were infrared spectroscopy (n = 7), chemical analysis (n = 1) and X-ray diffraction (n = 1). In the present study only 56% of the laboratories, four using infrared spectroscopy and one using X-ray diffraction, fulfilled the quality requirements. According to the current standard, chemical analysis is considered to be insufficient for stone analysis, whereas infrared spectroscopy or X-ray diffraction is mandatory. However, the poor results of infrared spectroscopy highlight the importance of equipment, reference spectra and qualification of the staff for an accurate analysis of stone composition. Regular quality control is essential in carrying out routine stone analysis. PMID:27248840

  3. Quality Assessment of Urinary Stone Analysis: Results of a Multicenter Study of Laboratories in Europe.

    PubMed

    Siener, Roswitha; Buchholz, Noor; Daudon, Michel; Hess, Bernhard; Knoll, Thomas; Osther, Palle J; Reis-Santos, José; Sarica, Kemal; Traxer, Olivier; Trinchieri, Alberto

    2016-01-01

    After stone removal, accurate analysis of urinary stone composition is the most crucial laboratory diagnostic procedure for the treatment and recurrence prevention in the stone-forming patient. The most common techniques for routine analysis of stones are infrared spectroscopy, X-ray diffraction and chemical analysis. The aim of the present study was to assess the quality of urinary stone analysis of laboratories in Europe. Nine laboratories from eight European countries participated in six quality control surveys for urinary calculi analyses of the Reference Institute for Bioanalytics, Bonn, Germany, between 2010 and 2014. Each participant received the same blinded test samples for stone analysis. A total of 24 samples, comprising pure substances and mixtures of two or three components, were analysed. The evaluation of the quality of the laboratory in the present study was based on the attainment of 75% of the maximum total points, i.e. 99 points. The methods of stone analysis used were infrared spectroscopy (n = 7), chemical analysis (n = 1) and X-ray diffraction (n = 1). In the present study only 56% of the laboratories, four using infrared spectroscopy and one using X-ray diffraction, fulfilled the quality requirements. According to the current standard, chemical analysis is considered to be insufficient for stone analysis, whereas infrared spectroscopy or X-ray diffraction is mandatory. However, the poor results of infrared spectroscopy highlight the importance of equipment, reference spectra and qualification of the staff for an accurate analysis of stone composition. Regular quality control is essential in carrying out routine stone analysis.

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. Development and implementation of an automated quantitative film digitizer quality control program

    NASA Astrophysics Data System (ADS)

    Fetterly, Kenneth A.; Avula, Ramesh T. V.; Hangiandreou, Nicholas J.

    1999-05-01

    A semi-automated, quantitative film digitizer quality control program that is based on the computer analysis of the image data from a single digitized test film was developed. This program includes measurements of the geometric accuracy, optical density performance, signal to noise ratio, and presampled modulation transfer function. The variability of the measurements was less than plus or minus 5%. Measurements were made on a group of two clinical and two laboratory laser film digitizers during a trial period of approximately four months. Quality control limits were established based on clinical necessity, vendor specifications and digitizer performance. During the trial period, one of the digitizers failed the performance requirements and was corrected by calibration.

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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.

  14. The Quality of Randomized Controlled Trials in Pediatric Orthopaedics: Are We Improving?

    PubMed

    Dodwell, Emily; Dua, Shiv; Dulai, Sukhdeep K; Astone, Kristina; Mulpuri, Kishore

    2015-01-01

    The quality of randomized controlled trials (RCTs) in orthopaedics is a topic of considerable importance, as RCTs play a major role in guiding clinical practice. The quality of RCTs published between 1995 and 2005 has previously been documented. The purpose of the current study was to assess and describe the quality of pediatric orthopaedic RCTs published from 2005 to 2012, by identifying study characteristics associated with higher quality and outlining areas for improvement. A standardized literature search was used to identify pediatric orthopaedic RCTs published in 7 well-recognized journals between September 2005 and July 2012 inclusive. The Detsky Quality Assessment Scale and the CONSORT checklist for Non-Pharmacologic Trials were used to assess the quality of the RCTs. Scores for the Detsky and CONSORT were calculated by 2 independent blinded orthopaedic surgeon reviewers with epidemiologic training. Forty RCTs were included in this analysis. The mean percentage score on the Detsky quality scale was 67%. Sixteen (40%) of the articles satisfied the threshold for a satisfactory level of methodological quality (Detsky >75%). Twenty-five (63%) of these studies were negative studies, concluding no difference between treatment arms. In 52% of the negative studies, an a priori sample size analysis was absent, and 28% were self-described as underpowered. In multiple variable regression analysis, only working with a statistician was significantly associated with higher Detsky percentage scores (P=0.01). There is a trend for improving quality in pediatric orthopaedic RCTs. Compared with past reports, the mean Detsky score improved from 53% to 67%, and the proportion meeting an acceptable level of quality improved from 19% to 40%. One of the most concerning findings of this study was the lack of attention to sample size and power analysis, and the potential for underpowered studies. Ongoing efforts are necessary to improve the conduct and reporting of clinical trials

  15. Methodological and Reporting Quality of Comparative Studies Evaluating Health-Related Quality of Life of Colorectal Cancer Patients and Controls: A Systematic Review.

    PubMed

    Wong, Carlos K H; Guo, Vivian Y W; Chen, Jing; Lam, Cindy L K

    2016-11-01

    inappropriate control groups for fair comparisons. Meta-analysis of differences between the 2 groups was not available. In general, one-fourth of comparative studies that evaluated health-related quality of life of patients who had colorectal cancer achieved high quality in reporting characteristics and methodological details. Future studies are encouraged to undertake health-related quality-of-life measurement and adhere to a methodological checklist in comparison with controls.

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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,...

  2. 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

  3. Automating PACS quality control with the Vanderbilt image processing enterprise resource

    NASA Astrophysics Data System (ADS)

    Esparza, Michael L.; Welch, E. Brian; Landman, Bennett A.

    2012-02-01

    Precise image acquisition is an integral part of modern patient care and medical imaging research. Periodic quality control using standardized protocols and phantoms ensures that scanners are operating according to specifications, yet such procedures do not ensure that individual datasets are free from corruption; for example due to patient motion, transient interference, or physiological variability. If unacceptable artifacts are noticed during scanning, a technologist can repeat a procedure. Yet, substantial delays may be incurred if a problematic scan is not noticed until a radiologist reads the scans or an automated algorithm fails. Given scores of slices in typical three-dimensional scans and widevariety of potential use cases, a technologist cannot practically be expected inspect all images. In large-scale research, automated pipeline systems have had great success in achieving high throughput. However, clinical and institutional workflows are largely based on DICOM and PACS technologies; these systems are not readily compatible with research systems due to security and privacy restrictions. Hence, quantitative quality control has been relegated to individual investigators and too often neglected. Herein, we propose a scalable system, the Vanderbilt Image Processing Enterprise Resource (VIPER) to integrate modular quality control and image analysis routines with a standard PACS configuration. This server unifies image processing routines across an institutional level and provides a simple interface so that investigators can collaborate to deploy new analysis technologies. VIPER integrates with high performance computing environments has successfully analyzed all standard scans from our institutional research center over the course of the last 18 months.

  4. Modeling Canadian Quality Control Test Program for Steroid Hormone Receptors in Breast Cancer: Diagnostic Accuracy Study.

    PubMed

    Pérez, Teresa; Makrestsov, Nikita; Garatt, John; Torlakovic, Emina; Gilks, C Blake; Mallett, Susan

    The Canadian Immunohistochemistry Quality Control program monitors clinical laboratory performance for estrogen receptor and progesterone receptor tests used in breast cancer treatment management in Canada. Current methods assess sensitivity and specificity at each time point, compared with a reference standard. We investigate alternative performance analysis methods to enhance the quality assessment. We used 3 methods of analysis: meta-analysis of sensitivity and specificity of each laboratory across all time points; sensitivity and specificity at each time point for each laboratory; and fitting models for repeated measurements to examine differences between laboratories adjusted by test and time point. Results show 88 laboratories participated in quality control at up to 13 time points using typically 37 to 54 histology samples. In meta-analysis across all time points no laboratories have sensitivity or specificity below 80%. Current methods, presenting sensitivity and specificity separately for each run, result in wide 95% confidence intervals, typically spanning 15% to 30%. Models of a single diagnostic outcome demonstrated that 82% to 100% of laboratories had no difference to reference standard for estrogen receptor and 75% to 100% for progesterone receptor, with the exception of 1 progesterone receptor run. Laboratories with significant differences to reference standard identified with Generalized Estimating Equation modeling also have reduced performance by meta-analysis across all time points. The Canadian Immunohistochemistry Quality Control program has a good design, and with this modeling approach has sufficient precision to measure performance at each time point and allow laboratories with a significantly lower performance to be targeted for advice.

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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

  10. Data Quality Control of the French Permanent Broadband Network in the RESIF Framework

    NASA Astrophysics Data System (ADS)

    Grunberg, Marc; Lambotte, Sophie; Engels, Fabien; Dretzen, Remi; Hernandez, Alain

    2014-05-01

    In the framework of the RESIF (Réseau Sismologique et géodésique Français) project, a new information system is being setting up, allowing the improvement of the management and the distribution of high quality data from the different elements of RESIF and the associated networks. Within this information system, EOST (in Strasbourg) is in charge of collecting real-time permanent broadband seismic waveform, and performing Quality Control on these data. The real-time and validated data set are pushed to the French National Distribution Center (Isterre/Grenoble) in order to make them publicly available. Furthermore EOST hosts the BCSF-ReNaSS, in charge of the French metropolitan seismic bulletin. This allows to benefit from some high-end quality control based on the national and world-wide seismicity. Here we present first the real-time seismic data flow from the stations of the French National Broad Band Network to EOST, and then, the data Quality Control procedures that were recently installed, including some new developments. The data Quality Control consists in applying a variety of subprocesses to check the consistency of the whole system and process from the stations to the data center. This allows us to verify that instruments and data transmission are operating correctly. Moreover analysis of the ambient noise helps to characterize intrinsic seismic quality of the stations and to identify other kind of disturbances. The deployed Quality Control consist in a pipeline that starts with low-level procedures : check the real-time miniseed data file (file naming convention, data integrity), check for inconsistencies between waveform and meta-data (channel name, sample rate, etc.), compute waveform statistics (data availability, gap/overlap, mean, rms, time quality, spike). It is followed by some high-level procedures such as : power spectral density computation (PSD), STA/LTA computation to be correlated to the seismicity, phases picking and stations magnitudes

  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. he document includes a discussion of principles and concepts, compacted soil liners, soil drainage systems, geosynthetic drai...

  12. 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...

  13. Quality control in the recycling stream of PVC cable waste by hyperspectral imaging analysis

    NASA Astrophysics Data System (ADS)

    Luciani, Valentina; Serranti, Silvia; Bonifazi, Giuseppe; Rem, Peter

    2005-05-01

    In recent years recycling is gaining a key role in the manufacturing industry. The use of recycled materials in the production of new goods has the double advantage of saving energy and natural resources, moreover from an economic point of view, recycled materials are in general cheaper than the virgin ones. Despite of these environmental and economic strengths, the use of recycled sources is still low compared to the raw materials consumption, indeed in Europe only 10% of the market is covered by recycled products. One of the reasons of this reticence in the use of secondary sources is the lack of an accurate quality certification system. The inputs of a recycled process are not always the same, which means that also the output of a particular process can vary depending on the initial composition of the treated material. Usually if a continuous quality control system is not present at the end of the process the quality of the output material is assessed on the minimum certified characteristics. Solving this issue is crucial to expand the possible applications of recycled materials and to assign a price based on the real characteristic of the material. The possibility of applying a quality control system based on a hyperspectral imaging (HSI) technology working in the near infrared (NIR) range to the output of a separation process of PVC cable wastes is explored in this paper. The analysed material was a residue fraction of a traditional separation process further treated by magnetic density separation. Results show as PVC, PE, rubber and copper particles can be identified and classified adopting the NIR-HSI approach.

  14. 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...

  15. Automated X-ray quality control of catalytic converters

    NASA Astrophysics Data System (ADS)

    Shashishekhar, N.; Veselitza, D.

    2017-02-01

    Catalytic converters are devices attached to the exhaust system of automobile or other engines to eliminate or substantially reduce polluting emissions. They consist of coated substrates enclosed in a stainless steel housing. The substrate is typically made of ceramic honeycombs; however stainless steel foil honeycombs are also used. The coating is usually a slurry of alumina, silica, rare earth oxides and platinum group metals. The slurry also known as the wash coat is applied to the substrate in two doses, one on each end of the substrate; in some cases multiple layers of coating are applied. X-ray imaging is used to inspect the applied coating depth on a substrate to confirm compliance with quality requirements. Automated image analysis techniques are employed to measure the coating depth from the X-ray image. Coating depth is assessed by analysis of attenuation line profiles in the image. Edge detection algorithms with noise reduction and outlier rejection are used to calculate the coating depth at a specified point along an attenuation line profile. Quality control of the product is accomplished using several attenuation line profile regions for coating depth measurements, with individual pass or fail criteria specified for each region.

  16. Effect of psycho-educational interventions on quality of life in patients with implantable cardioverter defibrillators: a meta-analysis of randomized controlled trials.

    PubMed

    Kao, Chi-Wen; Chen, Miao-Yi; Chen, Ting-Yu; Lin, Pai-Hui

    2016-09-30

    Implantable cardioverter defibrillators (ICD) were developed for primary and secondary prevention of sudden cardiac death. However, ICD recipients' mortality is significantly predicted by their quality of life (QOL). The aim of this meta-analysis was to evaluate the effects of psycho-educational interventions on QOL in patients with ICDs. We systematically searched PubMed, Medline, Cochrane Library, and CINAHL through April 2015 and references of relevant articles. Studies were reviewed if they met following criteria: (1) randomized controlled trial, (2) participants were adults with an ICD, and (3) data were sufficient to evaluate the effect of psychological or educational interventions on QOL measured by the SF-36 or SF-12. Studies were independently selected and their data were extracted by two reviewers. Study quality was evaluated using a modified Jadad scale. The meta-analysis was conducted using the Cochrane Collaboration's Review Manager Software Package (RevMan 5). Study heterogeneity was assessed by Q statistics and I 2 statistic. Depending on heterogeneity, data were pooled across trials using fixed-effect or random-effect modeling. Seven randomized controlled trials fulfilled the inclusion and exclusion criteria, and included 1017 participants. The psycho-educational interventions improved physical component summary (PCS) scores in the intervention groups more than in control groups (mean difference 2.08, 95 % CI 0.86 to 3.29, p < 0.001), but did not significantly affect mental component summary (MCS) scores (mean difference 0.84, 95 % CI -1.68 to 3.35, p = 0.52). Our meta-analysis demonstrates that psycho-educational interventions improved the physical component, but not the mental component of QOL in patients with ICDs.

  17. 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.

  18. [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.

  19. Internal quality control practice of thyroid disease related tests and imprecision analysis in China.

    PubMed

    Hu, Li-Tao; Wang, Zhi-Guo

    2014-01-01

    Internal quality control (IQC) has a long and well-established role in clinical laboratories and the quality of laboratories has achieved great improvement in China. However, the practice of IQC varies significantly between institutions and many problems still exists. Consequently, the Chinese National Center for Clinical Laboratories has been undertaking monthly nation-wide surveys of current IQC practice of tests since 2010 to monitor laboratory quality. Thyroid disease related tests were chosen for this research. Different numbers of laboratories in China participating national external quality assessment (EQA) schemes of Total Thyroxine (TT4), Total Triiodothyronine (TT3), Free Thyroxine (FT4) and Free Triiodothyronine (FT3) tests, and Thyroid Stimulating Hormone (TSH) measurements, were required to report the IQC information though the national external quality assessment (EQA) network platform. Survey data showed significant variability in all aspects of IQC practice. More than half of the laboratories are using a single concentration level of IQC material and up to 28.6% of the laboratories only use 1(2s) or 1(3s) to monitor IQC results for FT3, TT3, FT4, TT4, and TSH. The medians of the average time intervals of two control tests for FT3, TT3, FT4, TT4, and TSH are 33.6, 35.4, 33.6, 35.4, and 33.6 hours, respectively, more or less 1.4 days. When quality specifications based on biological variation are applied to imprecision evaluation, only 46.3%, 52.1%, 31.3%, 12.8%, and 5.86% laboratories meet the minimum performance for FT3, TT3, FT4, and TT4, 24.5%, 23.6%, 12.8%, and 5.86% of the all meet the desirable performance, and 4.4%, 3.9%, 2.5% and 3.0% of the all meet the optimal performance. While it shows a higher percentage of acceptable laboratories (98.1%, 87.9% and 39.0% meeting the minimum, desirable and optimal performance, respectively) for TSH. Not-well-designed IQC practices may affect the effectiveness of laboratory IQC and, thus, the adequacy of a

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. Rapid evaluation and quality control of next generation sequencing data with FaQCs

    DOE PAGES

    Lo, Chien -Chi; Chain, Patrick S. G.

    2014-12-01

    Background: Next generation sequencing (NGS) technologies that parallelize the sequencing process and produce thousands to millions, or even hundreds of millions of sequences in a single sequencing run, have revolutionized genomic and genetic research. Because of the vagaries of any platform's sequencing chemistry, the experimental processing, machine failure, and so on, the quality of sequencing reads is never perfect, and often declines as the read is extended. These errors invariably affect downstream analysis/application and should therefore be identified early on to mitigate any unforeseen effects. Results: Here we present a novel FastQ Quality Control Software (FaQCs) that can rapidly processmore » large volumes of data, and which improves upon previous solutions to monitor the quality and remove poor quality data from sequencing runs. Both the speed of processing and the memory footprint of storing all required information have been optimized via algorithmic and parallel processing solutions. The trimmed output compared side-by-side with the original data is part of the automated PDF output. We show how this tool can help data analysis by providing a few examples, including an increased percentage of reads recruited to references, improved single nucleotide polymorphism identification as well as de novo sequence assembly metrics. Conclusion: FaQCs combines several features of currently available applications into a single, user-friendly process, and includes additional unique capabilities such as filtering the PhiX control sequences, conversion of FASTQ formats, and multi-threading. The original data and trimmed summaries are reported within a variety of graphics and reports, providing a simple way to do data quality control and assurance.« less

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. Testosterone replacement therapy improves health-related quality of life for patients with late-onset hypogonadism: a meta-analysis of randomized controlled trials.

    PubMed

    Nian, Y; Ding, M; Hu, S; He, H; Cheng, S; Yi, L; Li, Y; Wang, Y

    2017-05-01

    Although testosterone replacement therapy can restore serum testosterone concentrations to normal level in late-onset hypogonadism patients, whether it can improve patients' quality of life remains uncertain. Therefore, we perform a meta-analysis of randomized controlled trials on this issue. Five randomized controlled trials total 1,212 patients were included. Fixed-effect model was used to calculate the weighted mean difference of score of Aging Males' Symptom rating scale. Our result reveals that testosterone replacement therapy improves patients' health-related quality of life in terms of the decrease in the AMS total score [WMD = -2.96 (-4.21, -1.71), p < .00001] and the psychological [WMD = -0.89 (-1.41, -0.37), p = .0008], somatic [WMD = -0.89 (-1.41, -0.37), p = .0008] and sexual [WMD = -1.29 (-1.75, -0.83), p < .00001] subscale score. © 2016 Blackwell Verlag GmbH.

  10. Data Quality Assurance and Control for AmeriFlux Network at CDIAC, ORNL

    NASA Astrophysics Data System (ADS)

    Shem, W.; Boden, T.; Krassovski, M.; Yang, B.

    2014-12-01

    The Carbon Dioxide Information Analysis Center (CDIAC) at the Oak Ridge National Laboratory (ORNL) serves as the long-term data repository for the AmeriFlux network. Datasets currently available include hourly or half-hourly meteorological and flux observations, biological measurement records, and synthesis data products. Currently there is a lack of standardized nomenclature and specifically designed procedures for data quality assurance/control in processing and handling micrometeorological and ecological data at individual flux sites. CDIAC's has bridged this gap by providing efficient and accurate procedures for data quality control and standardization of the results for easier assimilation by the models used in climate science. In this presentation we highlight the procedures we have put in place to scrutinize continuous flux and meteorological data within Ameriflux network. We itemize some basic data quality issues that we have observed over the past years and include some examples of typical data quality issues. Such issues, e.g., incorrect time-stamping, poor calibration or maintenance of instruments, missing or incomplete metadata and others that are commonly over-looked by PI's, invariably impact the time-series observations.

  11. 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.

  12. Analysis of quality control data of eight modern radiotherapy linear accelerators: the short- and long-term behaviours of the outputs and the reproducibility of quality control measurements

    NASA Astrophysics Data System (ADS)

    Kapanen, Mika; Tenhunen, Mikko; Hämäläinen, Tuomo; Sipilä, Petri; Parkkinen, Ritva; Järvinen, Hannu

    2006-07-01

    Quality control (QC) data of radiotherapy linear accelerators, collected by Helsinki University Central Hospital between the years 2000 and 2004, were analysed. The goal was to provide information for the evaluation and elaboration of QC of accelerator outputs and to propose a method for QC data analysis. Short- and long-term drifts in outputs were quantified by fitting empirical mathematical models to the QC measurements. Normally, long-term drifts were well (<=1%) modelled by either a straight line or a single-exponential function. A drift of 2% occurred in 18 ± 12 months. The shortest drift times of only 2-3 months were observed for some new accelerators just after the commissioning but they stabilized during the first 2-3 years. The short-term reproducibility and the long-term stability of local constancy checks, carried out with a sealed plane parallel ion chamber, were also estimated by fitting empirical models to the QC measurements. The reproducibility was 0.2-0.5% depending on the positioning practice of a device. Long-term instabilities of about 0.3%/month were observed for some checking devices. The reproducibility of local absorbed dose measurements was estimated to be about 0.5%. The proposed empirical model fitting of QC data facilitates the recognition of erroneous QC measurements and abnormal output behaviour, caused by malfunctions, offering a tool to improve dose control.

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...