Intruded Concrete Plugs in a Deep Gold Mine: An Exercise in Quality Control, Assurance, and Performance Verification

2005 ◽  
Author(s):  
C. O. (Chuck) Brawner ◽  
Donald A. Bruce ◽  
G. Stuart Littlejohn
Keyword(s):  
Quality Control ◽  
Gold Mine ◽  
Performance Verification ◽  
And Performance

scholarly journals A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Wendell Jones ◽  
Binsheng Gong ◽  
Natalia Novoradovskaya ◽  
Dan Li ◽  
Rebecca Kusko ◽  
...  
Keyword(s):  
Quality Control ◽  
Allele Frequency ◽  
Liquid Biopsy ◽  
Limit Of Detection ◽  
Reference Sample ◽  
Digital Pcr ◽  
Detection Sensitivity ◽  
Analytical Accuracy ◽  
And Performance ◽  
Reference Samples

Abstract Background Oncopanel genomic testing, which identifies important somatic variants, is increasingly common in medical practice and especially in clinical trials. Currently, there is a paucity of reliable genomic reference samples having a suitably large number of pre-identified variants for properly assessing oncopanel assay analytical quality and performance. The FDA-led Sequencing and Quality Control Phase 2 (SEQC2) consortium analyze ten diverse cancer cell lines individually and their pool, termed Sample A, to develop a reference sample with suitably large numbers of coding positions with known (variant) positives and negatives for properly evaluating oncopanel analytical performance. Results In reference Sample A, we identify more than 40,000 variants down to 1% allele frequency with more than 25,000 variants having less than 20% allele frequency with 1653 variants in COSMIC-related genes. This is 5–100× more than existing commercially available samples. We also identify an unprecedented number of negative positions in coding regions, allowing statistical rigor in assessing limit-of-detection, sensitivity, and precision. Over 300 loci are randomly selected and independently verified via droplet digital PCR with 100% concordance. Agilent normal reference Sample B can be admixed with Sample A to create new samples with a similar number of known variants at much lower allele frequency than what exists in Sample A natively, including known variants having allele frequency of 0.02%, a range suitable for assessing liquid biopsy panels. Conclusion These new reference samples and their admixtures provide superior capability for performing oncopanel quality control, analytical accuracy, and validation for small to large oncopanels and liquid biopsy assays.

scholarly journals Study of Rock Mass Rating (RMR) and Geological Strength Index (GSI) Correlations in Granite, Siltstone, Sandstone and Quartzite Rock Masses

2021 ◽  
Vol 11 (8) ◽  
pp. 3351
Author(s):  
Gabor Somodi ◽  
Neil Bar ◽  
László Kovács ◽  
Marco Arrieta ◽  
Ákos Török ◽  
...  
Keyword(s):  
Rock Mass ◽  
Linear Equations ◽  
Geological Strength Index ◽  
Gold Mine ◽  
Strength Index ◽  
Comprehensive Understanding ◽  
Rock Types ◽  
Mass Classification ◽  
Waste Repository ◽  
And Performance

A comprehensive understanding of geological, structural geological, hydrogeological and geotechnical features of the host rock are essential for the design and performance evaluation of surface and underground excavations. The Hungarian National Radioactive Waste Repository (NRWR) at Bátaapáti is constructed in a fractured granitic formation, and Telfer Gold Mine in Australia is excavated in stratified siltstones, sandstones and quartzites. This study highlights relationships between GSI chart ratings and calculated GSI values based on RMR rock mass classification data. The paper presents linear equations for estimating GSI from measured RMR89 values. Correlations between a and b constants were analyzed for different rock types, at surface and subsurface settings.

scholarly journals A Framework of Cloud Model Similarity-Based Quality Control Method in Data-Driven Production Process

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sheng Hu ◽  
Shuanjun Song ◽  
Wenhui Liu
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Control Method ◽  
Cloud Model ◽  
Data Driven ◽  
Monitoring Method ◽  
Control Approach ◽  
Acceptable Method ◽  
And Performance ◽  
Model Similarity

Considering the problem that the process quality state is difficult to analyze and monitor under manufacturing big data, this paper proposed a data cloud model similarity-based quality fluctuation monitoring method in data-driven production process. Firstly, the randomness of state fluctuation is characterized by entropy and hyperentropy features. Then, the cloud pool drive model between quality fluctuation monitoring parameters is built. On this basis, cloud model similarity degree from the perspective of maximum fluctuation border is defined and calculated to realize the process state analysis and monitoring. Finally, the experiment is conducted to verify the adaptability and performance of the cloud model similarity-based quality control approach, and the results indicate that the proposed approach is a feasible and acceptable method to solve the process fluctuation monitoring and quality stability analysis in the production process.

Product Variability Risks and Robust Design

1994 ◽  
Vol 208 (1) ◽  
pp. 9-19 ◽  
Author(s):  
K G Swift ◽  
A J Allen
Keyword(s):  
Quality Control ◽  
Robust Design ◽  
General Model ◽  
Best Practice ◽  
Quality Evaluation ◽  
Evaluation Methodology ◽  
Design For Manufacture ◽  
And Performance ◽  
Competitive Products

The design of a product largely predetermines its cost and quality, and there are therefore limits to the benefits that can be obtained by the application of best practice in manufacturing and quality control. The paper introduces a general model of design for quality and describes a systematic quality evaluation methodology to aid the development of quality competitive products. The application and performance of the methodology are described and its integration with techniques in design for manufacture and assembly is discussed.

scholarly journals Analisis Proses Pengendalian Mutu dalam Pelaksanaan Standar Pelayanan Minimal (SPM) di Instalasi Farmasi RS Keluarga Sehat

2017 ◽  
Vol 5 (1) ◽  
pp. 35-42
Author(s):  
LIa Alfa Rosida ◽  
Sudiro Sudiro
Keyword(s):  
Quality Control ◽  
Performance Appraisal ◽  
Control Process ◽  
Control Group ◽  
Pharmacy Staff ◽  
Quality Performance ◽  
Quality Control Process ◽  
Performance Report ◽  
Report Data ◽  
And Performance

The indicator achievement of minimum service standard (MSS) for the accuracy of distributingdrugs in Pharmacy Unit of Keluarga Sehat Hospital has not been achieved, even the incidence ofthe distributionerror from 2013 to 2016 continues to increase. The purpose of this researchwas to analyze the quality control process in the implementation of MSS in Pharmacy Unit of Keluarga Sehat Hospital. This was a qualitative research, with research subject 3pharmacy officers and 3 people of pharmacy management services.Data collectedby in-depth interview and observation of pharmaceutical performance report data and analysed by content analysis. The result of the research showed that the evaluation of pharmacy staff performance has not been implemented, because there is no performance appraisal indicator yet. Comparison was done only by comparing reports with general target, medical support manager double job resulted in no feedback to Pharmacy Unit, and so it has not supported the implementation of MSS. The Improvement of performancehas not been implementedand has notfound the concept of improvement. The new management will attempt to conduct a comparative study, including pharmacy installation into the Quality Control Group (GKM) or Problem Solving for Better Health (PSBH), find the cause of the problem and develop the policy. It can be concluded that the quality control of the MSS in the Pharmacy Unit still not going well and need to be improved especially related to quality performance appraisal and performance improvement based on the SOP.

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