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Related Concept Videos

Mixtures of Acids03:27

Mixtures of Acids

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The pH of a solution containing an acid can be determined using its acid dissociation constant and its initial concentration. If a solution contains two different acids, then its pH can be determined using one of several methods depending upon the relative strength of the acids and their dissociation constants.
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The pH of a solution containing an acid can be determined using its acid dissociation constant and initial concentration. If a solution contains two different acids, then its pH can be determined using one of several methods depending on the relative strength of the acids and their dissociation constants.
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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
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Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
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BioMEMS: Forging New Collaborations Between Biologists and Engineers
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STRmix™ collaborative exercise on DNA mixture interpretation.

Jo-Anne Bright1, Kevin Cheng1, Zane Kerr1

  • 1Institute of Environmental Science and Research Limited, Private Bag 92021, Auckland, 1142 New Zealand.

Forensic Science International. Genetics
|January 22, 2019
PubMed
Summary
This summary is machine-generated.

This study evaluated the probabilistic genotyping software STRmix™ across 174 labs. Results show high repeatability and reproducibility for DNA mixture analysis, ensuring reliable forensic evidence.

Keywords:
Forensic DNA interpretationInter-laboratory studyIntra-laboratory studyProbabilistic genotypingSTRmix

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Area of Science:

  • Forensic Science
  • Genetics
  • Computational Biology

Background:

  • Probabilistic genotyping (PG) software is crucial for analyzing complex DNA mixtures in forensic science.
  • Inter-laboratory studies are essential to assess the reliability and consistency of PG software.
  • The PROVEDIt dataset provides standardized complex DNA mixtures for such evaluations.

Purpose of the Study:

  • To assess the intra- and inter-laboratory performance of STRmix™ software.
  • To evaluate the reproducibility and repeatability of DNA mixture interpretation using STRmix™.
  • To identify factors influencing variations in likelihood ratio (LR) assignments.

Main Methods:

  • Utilized two complex DNA mixtures from the PROVEDIt set.
  • Analyzed samples using the STRmix™ probabilistic genotyping software.
  • Collected and analyzed results from 174 participating laboratories using Applied Biosystems™ 3500 Genetic Analyzer.

Main Results:

  • For low template DNA (Sample 1), 5 participants found the comparison inconclusive or excluded the person of interest (POI).
  • Likelihood ratios (LRs) for Sample 1 ranged from 2x10^4 to 8x10^6.
  • LRs for Sample 2 (higher template DNA) ranged from 2x10^28 to 2x10^29.
  • High levels of repeatability and reproducibility were observed among participants.
  • Differences in LR results were generally minor or conservative compared to the mode.

Conclusions:

  • STRmix™ demonstrates robust performance in intra- and inter-laboratory DNA mixture analysis.
  • The study confirms the reliability and consistency of STRmix™ for forensic DNA interpretation.
  • Variations in LR results were attributed to specific factors, with most outcomes being conservative.