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Related Concept Videos

Weak Base Solutions03:21

Weak Base Solutions

25.4K
Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
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Strong Acid and Base Solutions03:22

Strong Acid and Base Solutions

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A strong acid is a compound that dissociates completely in an aqueous solution and produces a concentration of hydronium ions equal to the initial concentration of acid. For example, 0.20 M hydrobromic acid will dissociate completely in water and produces 0.20 M of hydronium ions and 0.20 M of bromide ions.
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Leveling Effect and Non-Aqueous Acid-Base Solutions02:11

Leveling Effect and Non-Aqueous Acid-Base Solutions

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This lesson defines the leveling effect in acidic and basic solutions and its role in aqueous and non-aqueous solutions. It is essential to understand the competing nature of various species in a chemical system.
The Leveling Effect of a Solvent
A generic acid (HA) reacts with the generic base (B-) to yield the corresponding conjugate base (A-) and conjugate acid (HB):
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Solution Composition During Acid/Base Titrations01:17

Solution Composition During Acid/Base Titrations

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The titration of a weak acid with a strong base results in the formation of water and the conjugate base of the acid. For instance, titrating acetic acid with sodium hydroxide leads to the formation of water and sodium acetate. A solution of acetic acid and sodium acetate constitutes a buffer whose relative concentration at different stages of the titration is indicated by the α values, which represent percentages of the weak acid and its conjugate base.
The α0 and α1 values...
1.6K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Determining the pH of Salt Solutions04:08

Determining the pH of Salt Solutions

48.3K
The pH of a salt solution is determined by its component anions and cations. Salts that contain pH-neutral anions and the hydronium ion-producing cations form a solution with a pH less than 7. For example, in ammonium nitrate (NH4NO3) solution, NO3− ions do not react with water whereas NH4+ ions produce the hydronium ions resulting in the acidic solution.  In contrast, salts that contain pH-neutral cations and the hydroxide ion-producing anions form a solution with a pH greater than 7. For...
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Magnetic Levitation Coupled with Portable Imaging and Analysis for Disease Diagnostics
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Container-Based Clinical Solutions for Portable and Reproducible Image Analysis.

Jordan Matelsky1, Gregory Kiar2, Erik Johnson3

  • 1Applied Physics Laboratory, Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD, 20723-6099, USA. jordan.matelsky@jhuapl.edu.

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|May 10, 2018
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Summary

Linux containers enhance medical imaging analysis reproducibility by simplifying software deployment and environment configuration. Their adoption in clinical settings is recommended for reliable scientific methods and findings.

Keywords:
ContainersDockerMedical-imagingReproducibilitySingularity

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Area of Science:

  • Medical Imaging
  • Computational Science
  • Software Engineering

Background:

  • Reproducibility in medical imaging analysis is crucial for reliable scientific findings.
  • Current methods for software deployment and environment configuration present challenges in clinical settings.
  • Linux containers offer a solution for abstracting, installing, and configuring complex computational environments.

Purpose of the Study:

  • To explore the efficacy of Linux containers in medical image analysis within clinical settings.
  • To identify shortcomings of current containerization approaches in this domain.
  • To demonstrate a practical use-case of Linux containers for medical image analysis.

Main Methods:

  • Exploration of related technologies for environment abstraction and configuration.
  • Demonstration of a simple use-case for Linux containers in medical image analysis.
  • Evaluation of the potential and limitations of containers in clinical environments.

Main Results:

  • Linux containers facilitate the distribution of self-contained, repeatable software environments.
  • While not yet mainstream, containers show promise for improving reproducibility in clinical medical imaging.
  • A demonstrated use-case highlights the practical application and benefits.

Conclusions:

  • Linux containers are a valuable tool for enhancing the reproducibility of complex computations in medical image analysis.
  • Their adoption in clinical settings is encouraged to improve the reliability of scientific methods and findings.
  • Further integration of containerization technologies is recommended for the advancement of medical imaging research and practice.