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Buffers02:56

Buffers

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A solution containing appreciable amounts of a weak conjugate acid-base pair is called a buffer solution, or a buffer. Buffer solutions resist a change in pH when small amounts of a strong acid or a strong base are added. A solution of acetic acid and sodium acetate is an example of a buffer that consists of a weak acid and its salt: CH3COOH (aq) + CH3COONa (aq). An example of a buffer that consists of a weak base and its salt is a solution of ammonia and ammonium chloride: NH3 (aq) + NH4Cl...
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Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
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Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised.
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Buffers: Buffer Capacity01:09

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Buffer capacity is the quantitative measure of a buffer to resist the change in pH. As shown in the following equation, the buffer capacity, denoted by 'beta', is expressed as the number of moles of acid or base needed to change the pH of a one-liter buffer solution by 1 unit. Here, Ca and Cb indicate the number of moles of acid and base, respectively. Note that dpH represents the change in pH.
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Calculating pH Changes in a Buffer Solution02:45

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A buffer can prevent a sudden drop or increase in the pH of a solution after the addition of a strong acid or base up to its buffering capacity; however, such addition of a strong acid or base does result in the slight pH change of the solution. The small pH change can be calculated by determining the resulting change in the concentration of buffer components, i.e., a weak acid and its conjugate base or vice versa. The concentrations obtained using these stoichiometric calculations can be used...
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The phosphate buffer system is a critical biological mechanism for maintaining pH stability in the body. This system operates primarily through two components: sodium dihydrogen phosphate (NaH2PO4), which acts as a weak acid, and sodium hydrogen phosphate (Na2HPO4), which serves as a weak base.
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An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
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Priority Queue Based Reactive Buffer Management Policy for Delay Tolerant Network under City Based Environments.

Qaisar Ayub1, Asri Ngadi2, Sulma Rashid3

  • 1Department of Computer Science, University of Engineering and Technology Taxila, Rawalpindi, Pakistan.

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|February 14, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a Priority Queue Based Reactive Buffer Management Policy (PQB-R) for Delay Tolerant Networks (DTN). PQB-R optimizes message routing by reducing transmissions, drops, and improving delivery ratios in urban environments.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Telecommunications

Background:

  • Delay Tolerant Networks (DTN) often employ multi-copy routing, leading to network congestion and message drops.
  • Current reactive drop policies use a single metric, making message dropping decisions suboptimal as resource consumption varies.
  • The Time To Live (TTL) parameter in DTNs has limitations in managing message lifecycles effectively, especially for delivered messages.

Purpose of the Study:

  • To propose a novel Priority Queue Based Reactive Buffer Management Policy (PQB-R) for DTN environments.
  • To address inefficiencies in existing reactive drop mechanisms and TTL limitations.
  • To enhance message delivery performance in urban DTN scenarios.

Main Methods:

  • Developed PQB-R, a policy that classifies buffered messages into distinct source, relay, and destination queues.
  • Implemented separate drop metrics tailored for each message queue type.
  • Conducted experiments in city-based environments to evaluate the policy's effectiveness.

Main Results:

  • PQB-R significantly reduced the number of message transmissions.
  • The proposed policy led to a decrease in overall message drop rates.
  • An improvement in the message delivery ratio was observed with the implementation of PQB-R.

Conclusions:

  • PQB-R offers a more efficient buffer management strategy for DTNs compared to existing reactive policies.
  • The queue-based approach with differentiated drop metrics optimizes resource utilization and message handling.
  • The policy demonstrates improved performance metrics, making it suitable for urban DTN deployments.