Jove
Visualize
Contact Us

Related Concept Videos

The Quotient Rule01:30

The Quotient Rule

The quotient rule is a fundamental differentiation technique in calculus used to differentiate functions expressed as a ratio of two differentiable functions. Given a function of the form:Where g(x) and h(x) are both differentiable and h(x) ≠ 0, the derivative of f(x) is given by:Example:The quotient rule is beneficial when differentiating rational functions, trigonometric ratios, and exponential functions. For example, given:applying the quotient rule,This rule is essential in solving problems...
Partial Differential Equations01:21

Partial Differential Equations

A stone dropped into a still pond generates waves that propagate outward in circular patterns, creating a dynamic surface whose elevation depends on both position and time. At any given location, the water level oscillates as the wave passes, while at any fixed moment, the surface exhibits smooth, curved structures extending across space. This dual dependence requires a mathematical description that accounts for variation in multiple variables simultaneously.At a fixed point on the water...
Major Losses in Pipes01:28

Major Losses in Pipes

When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
The Buckingham Pi Theorem01:09

The Buckingham Pi Theorem

The Buckingham Pi theorem provides a structured method to simplify fluid dynamics problems by reducing complex systems of variables to dimensionless terms.
Fundamental Theorem of Calculus I: Problem Solving01:22

Fundamental Theorem of Calculus I: Problem Solving

In many engineering and environmental applications, accumulated quantities are determined from rates that vary over time. A common example arises in water management, where a supply system pumps water into a storage tank at a rate that changes with time. Accurately determining how much water has entered the tank over a given period is essential for maintaining proper pressure, scheduling operations, and ensuring system safety.The flow rate of water into the tank is described by a time-dependent...
Partial Fractions01:28

Partial Fractions

A partial fraction is a component of a rational expression represented as the sum of simpler fractions. When a rational function is expressed as a ratio of two polynomials, it can often be decomposed into a sum of fractions whose denominators are simpler polynomials, typically linear or irreducible quadratic factors. This process is called partial fraction decomposition, and it is used to simplify complex expressions for integration, solving equations, or analysis.Partial fraction decomposition...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Influence of the distensibility of large arteries on the longitudinal impedance: application for the development of non-invasive techniques to the diagnosis of arterial diseases.

Nonlinear biomedical physics·2012
Same journal

Fractional modeling dynamics of HIV and CD4+ T-cells during primary infection.

Nonlinear biomedical physics·2012
Same journal

Nonlinear changes in the activity of the oxygen-dependent demethylase system in Rhodococcus erythropolis cells in the presence of low and very low doses of formaldehyde.

Nonlinear biomedical physics·2011
Same journal

Entrainment of marginally stable excitation waves by spatially extended sub-threshold periodic forcing.

Nonlinear biomedical physics·2011
Same journal

Econobiophysics - game of choosing. Model of selection or election process with diverse accessible information.

Nonlinear biomedical physics·2011
Same journal

On multi-strain model for Hepatitis C.

Nonlinear biomedical physics·2011
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 12, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Fractional-calculus diffusion equation.

Abdul-Wali Ms Ajlouni1, Hussam A Al-Rabai'ah

  • 1Applied Physics Department, Tafila Technical University, P,O, Box: 179 66110 Tafila- Jordan. awajlouni@hotmail.com.

Nonlinear Biomedical Physics
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

This study quantifies dissipative effects in microscale systems using fractional calculus and Brownian motion. The developed quantum model accurately describes diffusion and osmosis, aligning with classical observations.

More Related Videos

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

Related Experiment Videos

Last Updated: Jun 12, 2026

The Diffusion of Passive Tracers in Laminar Shear Flow
08:01

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

Area of Science:

  • Quantum Mechanics
  • Statistical Mechanics
  • Physical Chemistry

Background:

  • Builds upon prior work on fractional calculus and Brownian motion for nonconservative systems.
  • Focuses on incorporating dissipation effects into quantum descriptions of microscale systems.

Purpose of the Study:

  • To quantize a system described by Fick's law and the diffusion equation using the Dirac method.
  • To develop a quantum-mechanical framework for analyzing diffusion and osmosis.

Main Methods:

  • Canonical quantization via the Dirac method.
  • Construction of Lagrangian and Hamiltonian for the diffusive system.
  • Transformation of the Hamiltonian to Schrödinger's equation and its solution.

Main Results:

  • Successfully quantized a system governed by Fick's law and the diffusion equation.
  • Solved Schrödinger's equation for the diffusive system.
  • Applied the method to analyze diffusion and osmosis, including biological osmosis.

Conclusions:

  • The probability function visualization clearly illustrates dissipative and drift forces.
  • The quantum model's results for osmosis are consistent with classical, macro-scale observations.