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Related Concept Videos

Radiation Pressure: Problem Solving01:09

Radiation Pressure: Problem Solving

893
The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force...
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Radiation: Applications01:17

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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
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Related Experiment Video

Updated: Feb 26, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Integer programming for improving radiotherapy treatment efficiency.

Ming Lv1, Yi Li2, Bo Kou3

  • 1School of Management, Xi'an Jiao Tong University, Xi'an, Shaan Xi, P.R. China.

Plos One
|July 13, 2017
PubMed
Summary
This summary is machine-generated.

Optimizing radiotherapy patient scheduling with a mixed integer programming model improves patient admission and resource utilization, outperforming traditional methods. This approach enhances efficiency in radiotherapy departments.

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Area of Science:

  • Operations Research
  • Healthcare Management
  • Radiotherapy

Background:

  • Radiotherapy departments serve diverse patients with varying cancer types and resource needs.
  • Inefficient scheduling can lead to patient loss and underutilization of critical medical resources.

Purpose of the Study:

  • To develop an optimal patient scheduling method for radiotherapy admissions.
  • To reduce patient attrition and maximize the efficiency of service resource utilization.

Main Methods:

  • A mixed integer programming (MIP) model was constructed, incorporating specific radiotherapy treatment features.
  • The model was solved using an exact method based on historical patient data.

Main Results:

  • The proposed MIP-based scheduling method significantly improved patient admission rates compared to the First Come First Served (FCFS) approach.
  • Enhanced utilization of linear accelerators (LINAC) and hospital beds was observed.

Conclusions:

  • The MIP model effectively addresses complex radiotherapy patient scheduling challenges.
  • It identifies resource bottlenecks and determines optimal LINAC-bed allocation for improved patient flow.
  • The model provides a data-driven reference for policy-makers to adjust management strategies.