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Related Concept Videos

Temperature and Thermal Equilibrium01:11

Temperature and Thermal Equilibrium

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Heat and temperature are essential concepts for everyone every day. The study of heat and temperature is part of an area of physics known as thermodynamics. It is not always easy to distinguish heat and temperature.
The concept of temperature has evolved from the common concepts of hot and cold. The scientific definition of temperature explains more than just our sense of hot and cold. Temperature is operationally defined as the quantity measured with a thermometer. Furthermore, temperature is...
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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Thermosensation01:43

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Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
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Assessing Body Temperature - Tympanic membrane01:14

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Assessing tympanic membrane temperature involves using a tympanic membrane thermometer (TMT). Here is a step-by-step guide:
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Thermometers and Temperature Scales01:22

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Any physical property that depends consistently and reproducibly on temperature can be used as the basis of a thermometer. For example, volume increases with temperature for most substances. This property is the basis for the common alcohol thermometer and the original mercury thermometers. Other properties used to measure temperature include electrical resistance, color, and the emission of infrared radiation.
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Assessing Body Temperature - Axilla01:14

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Procedural Guide for Assessing Axillary Body Temperature using a Digital Thermometer:
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Related Experiment Video

Updated: Dec 2, 2025

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
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Ultrasonic Thermometry Algorithm Based on Inverse Quadratic Function.

Li Zhao, Xinzhi Zhou, Chenlong Dong

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |November 5, 2020
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    Summary
    This summary is machine-generated.

    Ultrasonic thermometry offers nonintrusive temperature measurement. An improved inverse quadratic function and singular value decomposition (IQ-SVD) algorithm enhances reconstruction accuracy for complex temperature fields, outperforming traditional methods.

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    Area of Science:

    • Thermometry
    • Nonintrusive measurement techniques
    • Ultrasonic applications

    Background:

    • Contact and nonintrusive methods exist for temperature acquisition.
    • Ultrasonic thermometry is a nonintrusive technique for complex temperature field distribution.
    • Existing algorithms like LSM and ART have limitations in accuracy and speed.

    Purpose of the Study:

    • To propose an improved reconstruction algorithm for ultrasonic thermometry.
    • To enhance the accuracy of temperature field reconstruction.
    • To address limitations of existing methods like LSM and ART.

    Main Methods:

    • Development of an inverse quadratic function and singular value decomposition (IQ-SVD) algorithm.
    • Simulation of real temperature data in ideal and noisy environments.
    • Analysis of the influence of region division and shape parameters on reconstruction accuracy.

    Main Results:

    • The proposed IQ-SVD algorithm significantly increases reconstruction accuracy.
    • Simulations demonstrate effective temperature distribution reflection in both ideal and noisy conditions.
    • Root mean square error is reduced by at least 0.49% in the central region and up to 1.28% in the edge region compared to conventional algorithms.

    Conclusions:

    • The IQ-SVD algorithm provides a more accurate method for ultrasonic thermometry.
    • The improved algorithm effectively reconstructs temperature distributions, especially near field edges.
    • This advancement offers better nonintrusive temperature measurement capabilities for complex fields.