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Related Concept Videos

Weak Base Solutions03:21

Weak Base Solutions

25.3K
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

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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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Model Approaches for Pharmacokinetic Data: Compartment Models01:14

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Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
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Leveling Effect and Non-Aqueous Acid-Base Solutions02:11

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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...
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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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A Data-Driven Approach to Quantifying Immune States in Sepsis
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A Solutions-Based Approach to Building Data-Sharing Partnerships.

Sarah E Wiehe1, Marc B Rosenman1,2, David Chartash3

  • 1Indiana University School of Medicine, US.

EGEMS (Washington, DC)
|August 30, 2018
PubMed
Summary
This summary is machine-generated.

Researchers can overcome data sharing barriers in population health by enhancing existing frameworks and implementing a solutions-based process. This approach encourages partnerships and facilitates progress in health research.

Keywords:
data sharingelectronic health recordspartnershipspopulation health

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Area of Science:

  • Public Health Research
  • Data Science
  • Health Informatics

Background:

  • Data sharing is crucial for advancing population health research.
  • Numerous barriers (technical, motivational, economic, political, legal, ethical) impede effective data sharing.
  • Existing frameworks for understanding these barriers require enhancement.

Purpose of the Study:

  • To enhance the van Panhuis et al. framework for data sharing barriers.
  • To present a complementary solutions-based process model for data sharing partnerships.
  • To encourage researchers, both academic and non-academic, to engage in data sharing.

Main Methods:

  • Identifying key stakeholders for addressing data sharing barriers within organizations.
  • Detailing specific challenges encountered in data-sharing partnerships with criminal justice, clinical, and public health sectors.
  • Proposing successful solutions grouped into five core areas: Preparation, Clear Communication, Funding/Support, Non-Monetary Benefits, and Regulatory Assurances.

Main Results:

  • An enhanced framework and a complementary solutions-based process model for data sharing were developed.
  • Solutions were categorized into Preparation, Clear Communication, Funding/Support, Non-Monetary Benefits, and Regulatory Assurances.
  • The cyclical, iterative nature of the solutions-based process model was highlighted.

Conclusions:

  • Community-based participatory research principles can help overcome data sharing barriers.
  • Successful data-sharing partnerships have been achieved by applying these principles.
  • Further systematic study of data-sharing partnerships is recommended to identify essential elements for success.