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Weak Base Solutions

Weak Base Solutions

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...

Weak Acid Solutions

Weak Acid Solutions

Few compounds act as strong acids. A far greater number of compounds behave as weak acids and only partially react with water, leaving a large majority of dissolved molecules in their original form and generating a relatively small amount of hydronium ions. Weak acids are commonly encountered in nature, being the substances partly responsible for the tangy taste of citrus fruits, the stinging sensation of insect bites, and the unpleasant smells associated with body odor. A familiar example of a...

Titration of a Weak Acid with a Weak Base

Titration of a Weak Acid with a Weak Base

Weak acids and bases do not undergo dissociation completely, and titrations between these two are rarely studied. When such studies are performed, say, for the titration of a weak acid with a weak base, the titration curve plots the change in pH as a function of the volume of base added. Take the titration of acetic acid with ammonia, for instance. During the titration, these two species form ammonium acetate and water, but the pH change is slow and gradual.
As a result, there is no simple...

Titration Calculations: Weak Acid - Strong Base

Titration Calculations: Weak Acid - Strong Base

Calculating pH for Titration Solutions: Weak Acid/Strong Base
For the titration of 25.00 mL of 0.100 M CH3CO2H with 0.100 M NaOH, the reaction can be represented as:

Resonance

Resonance

The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N-O and N=O bonds.

Crossed Aldol Reaction Using Weak Bases

Crossed Aldol Reaction Using Weak Bases

This lesson deals with the crossed aldol reaction using weak bases. The self-condensation of an aldehyde having α hydrogen is prevented by adding it slowly to a mixture of formaldehyde and weak bases like hydroxide and alkoxide. Upon slow addition of the aldehyde, the base deprotonates the α carbon of the aldehyde to form the corresponding enolate. The enolate subsequently attacks the formaldehyde to form a single crossed product. Figure 1 depicts the aforementioned reaction.

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Related Experiment Video

Updated: Feb 9, 2026

Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS

Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering CARS

Published on: October 17, 2010

Weak multiplexing induces coherence resonance.

Nadezhda Semenova¹, Anna Zakharova²

¹Department of Physics, Saratov State University, Astrakhanskaya Str. 83, 410012 Saratov, Russia.

Chaos (Woodbury, N.Y.)

|June 3, 2018

Summary

This summary is machine-generated.

Multiplexing controls noise-induced dynamics in coupled FitzHugh-Nagumo systems. This strategy induces coherence resonance even in deterministic networks, enhancing signal transmission.

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Published on: October 17, 2010

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Area of Science:

Computational Neuroscience
Network Dynamics
Nonlinear Systems

Background:

Coherence resonance is a phenomenon where noise enhances signal transmission in nonlinear systems.
FitzHugh-Nagumo models are widely used to study neuronal excitability and signal propagation.
Network structure significantly influences emergent dynamics, including coherence resonance.

Purpose of the Study:

To investigate the effect of multiplexing on coherence resonance in a two-layer FitzHugh-Nagumo network.
To determine if multiplexing can induce coherence resonance in networks lacking this property intrinsically.
To explore the control of noise-induced dynamics through network multiplexing.

Main Methods:

Modeling a two-layer network using the FitzHugh-Nagumo system in the excitable regime.
Analyzing the impact of multiplexing on noise-induced dynamics and signal coherence.
Investigating deterministic and non-optimally coupled networks to assess multiplexing efficacy.

Main Results:

Multiplexing enables control over noise-induced dynamics in the studied network.
Coherence resonance was induced by multiplexing in networks that did not exhibit it in isolation.
This effect was observed in deterministic networks and those with non-optimal coupling strengths.
Multiplex-induced coherence resonance was even stronger in a deterministic layer compared to a noisy layer.

Conclusions:

Multiplexing serves as an effective strategy to control and induce coherence resonance in complex networks.
The findings highlight the potential of multiplexing for enhancing signal processing in biological and artificial systems.
The counter-intuitive enhancement of coherence resonance in deterministic layers underscores the complex interplay between network structure, noise, and multiplexing.