scholarly journals Dolueg: A measurement network’s face

2021 ◽  
pp. 1-8
Author(s):  
Robert Spirig ◽  
Christian Feigenwinter ◽  
Markus Kalberer ◽  
Eberhard Parlow ◽  
Roland Vogt
Keyword(s):  
Time Series ◽  
Quality Control ◽  
Educational Resource ◽  
Display Time ◽  
Component Framework ◽  
Quality Control Tool ◽  
Two Component ◽  
Different Types ◽  
Meta Information ◽  
Control Tool

AbstractDolueg is a two-component framework to dynamically display time series. It serves as outreach to other researchers and the local public, educational resource and quality control tool. The first component is a set of Python functions. These create different types of visualisation with meta information about the data in the zoomable, modern SVG format. The second component is a simple but highly customizable website, that groups these figures according to the displayed data. We provide the code in two separate repositories on GitHub for interested parties including more detailed instructions for the installation.

scholarly journals Range probing as a quality control tool for CBCT based synthetic CTs: in vivo application for head and neck cancer patients

2021 ◽  
Author(s):  
Carmen Seller Oria ◽  
Adrian Thummerer ◽  
Jeffrey Free ◽  
Johannes A. Langendijk ◽  
Stefan Both ◽  
...  
Keyword(s):  
Quality Control ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Quality Control Tool ◽  
Control Tool

scholarly journals Applying Ancestry and Sex Computation as a Quality Control Tool in Targeted Next-Generation Sequencing

2016 ◽  
Vol 145 (3) ◽  
pp. 308-315 ◽  
Author(s):  
Patrick C. Mathias ◽  
Emily H. Turner ◽  
Sheena M. Scroggins ◽  
Stephen J. Salipante ◽  
Noah G. Hoffman ◽  
...  
Keyword(s):  
Quality Control ◽  
Next Generation Sequencing ◽  
Next Generation ◽  
Targeted Next Generation Sequencing ◽  
Quality Control Tool ◽  
Generation Sequencing ◽  
Control Tool

scholarly journals ANALISIS KECACATAN KEMASAN PRODUK OKKY JELLY DRINK PERISA BLACKCURRANT SEBAGAI UPAYA PERBAIKAN KUALITAS DENGAN METODE DMAIC PADA PT. TRITEGUH MANUNGGAL SEJATI

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Suharto Suharto ◽  
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Six Sigma ◽  
Cause And Effect ◽  
Sigma Level ◽  
Quality Control Tool ◽  
And Control ◽  
Cause And Effect Diagram ◽  
Control Tool

Abstract This study aims to determine and identify the causes of defects in the production process of PT. Triteguh Manunggal Sejati and know the level of sigma level. This research uses the six sigma method with the DMAIC approach as a quality control tool, which includes the Define, Measure, Analyze, Improve and Control stages. Based on this study the results obtained are the level of sigma level at PT.Triteguh Manunggal Sejati is 4.96, which means that in the stage of sigma level the company has not reached the level of six sigma levels because in the production process at PT.Triteguh Manunggal Sejati still has product defects in the production process not yet achieved zero defect. The causes of product defects are based on cause and effect diagrams namely lid / seal defects are leaky lid, broken lid, and tilted lid. Kata kunci : Defect, Six Sigma, DMAIC, cause and effect diagram

scholarly journals Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies

2021 ◽  
Author(s):  
Yijiang Chen ◽  
Jarcy Zee ◽  
Abigail Smith ◽  
Catherine Jayapandian ◽  
Jeffrey Hodgin ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Control Tool ◽  
Control Tool ◽  
Whole Slide Images

Analysis of an industrial production suspension ofBacillus lentussubtilisin crystals by powder diffraction: a powerful quality-control tool

2014 ◽  
Vol 70 (4) ◽  
pp. 1115-1123 ◽  
Author(s):  
Christian G. Frankaer ◽  
Olga V. Moroz ◽  
Johan P. Turkenburg ◽  
Stein I. Aspmo ◽  
Majbritt Thymark ◽  
...  
Keyword(s):  
Quality Control ◽  
Single Crystals ◽  
Powder Diffraction ◽  
Unit Cell ◽  
Unit Cell Parameters ◽  
Space Group ◽  
X Ray ◽  
Cell Parameters ◽  
Quality Control Tool ◽  
Control Tool

A microcrystalline suspension ofBacillus lentussubtilisin (Savinase) produced during industrial large-scale production was analysed by X-ray powder diffraction (XRPD) and X-ray single-crystal diffraction (MX). XRPD established that the bulk microcrystal sample representative of the entire production suspension corresponded to space groupP212121, with unit-cell parametersa= 47.65,b= 62.43,c= 75.74 Å, equivalent to those for a known orthorhombic crystal form (PDB entry 1ndq). MX using synchrotron beamlines at the Diamond Light Source with beam dimensions of 20 × 20 µm was subsequently used to study the largest crystals present in the suspension, with diffraction data being collected from two single crystals (∼20 × 20 × 60 µm) to resolutions of 1.40 and 1.57 Å, respectively. Both structures also belonged to space groupP212121, but were quite distinct from the dominant form identified by XRPD, with unit-cell parametersa= 53.04,b = 57.55,c= 71.37 Å anda= 52.72,b= 57.13,c= 65.86 Å, respectively, and refined toR= 10.8% andRfree= 15.5% and toR= 14.1% andRfree= 18.0%, respectively. They are also different from any of the forms previously reported in the PDB. A controlled crystallization experiment with a highly purified Savinase sample allowed the growth of single crystals of the form identified by XRPD; their structure was solved and refined to a resolution of 1.17 Å with anRof 9.2% and anRfreeof 11.8%. Thus, there are at least three polymorphs present in the production suspension, albeit with the 1ndq-like microcrystals predominating. It is shown how the two techniques can provide invaluable and complementary information for such a production suspension and it is proposed that XRPD provides an excellent quality-control tool for such suspensions.

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