Jove
Visualize
Contact Us
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 Concept Videos

Machines: Problem Solving II01:30

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Introduction to Partial Derivatives01:25

Introduction to Partial Derivatives

In many real-world situations, an output depends on more than one input. In a high-tech assembly plant, total production may depend on technician labor and machine capacity at the same time. This relationship can be represented by a continuous function P(T, M), where T denotes technician labor input, and M denotes machine capacity. When demand increases, but the budget remains fixed, the manager must determine which input will improve production more efficiently.Partial derivatives provide a...
Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
Frames: Problem Solving II01:26

Frames: Problem Solving II

Consider a hydraulic hoist supporting a load of 1 kN. Assuming a simplified schematic representation of this frame structure, the force acting on BD and BF members can be determined.
Three Force Member01:27

Three Force Member

A rigid body subjected to three forces acting at three points is known as a three-force member. These forces must have concurrent lines of action, except for parallel forces, where the lines of action are parallel.
For example, consider a dumpster connected to a pin support at point A and a pin attached to a hydraulic cylinder at point B.

You might also read

Related Articles

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

Sort by
Same author

Family physician manpower in alberta.

Canadian family physician Medecin de famille canadien·2011
Same author

Family physicians' attitudes towards obstetrics in alberta.

Canadian family physician Medecin de famille canadien·2011
Same author

Notes on the nuffield travelling award.

Canadian family physician Medecin de famille canadien·2010
Same author

Research in great britain.

Canadian family physician Medecin de famille canadien·2010
Same author

Research in australia.

Canadian family physician Medecin de famille canadien·2010
Same author

Research in new zealand.

Canadian family physician Medecin de famille canadien·2010
Same journal

Impact of virtual case conferences between primary care clinicians and an interdisciplinary chronic pain clinic.

Canadian family physician Medecin de famille canadien·2026
Same journal

Canadian family physician Medecin de famille canadien·2026
Same journal

Predictors of high-performing family medicine clinics: Prospective cohort study in Alberta.

Canadian family physician Medecin de famille canadien·2026
Same journal

Acetylsalicylic acid use for artial fibrillation and bleeding risk.

Canadian family physician Medecin de famille canadien·2026
Same journal

Clinical practice guidelines: Important tools to teach the art of medicine.

Canadian family physician Medecin de famille canadien·2026
Same journal

Paratonia in advanced dementia: Challenges and evidence-based interventions.

Canadian family physician Medecin de famille canadien·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations
06:20

Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations

Published on: December 6, 2024

The manpower problem: towards better figures.

W A Falk

    Canadian Family Physician Medecin De Famille Canadien
    |May 15, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Interpreting medical manpower data requires careful consideration of local factors. Understanding these variations is crucial for effective healthcare workforce planning and policy development.

    Related Experiment Videos

    Last Updated: Jun 13, 2026

    Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations
    06:20

    Generation of Warfighter Avatars from Weapon Training Scene Images for Blast Exposure Simulations

    Published on: December 6, 2024

    Area of Science:

    • Healthcare Management
    • Medical Workforce Analysis

    Background:

    • Medical manpower data interpretation presents significant challenges.
    • Variations in data interpretation can impact policy decisions.

    Purpose of the Study:

    • To document variations in medical manpower data interpretation.
    • To emphasize the need for careful assessment of this data.

    Main Methods:

    • Documenting significant variations in data interpretation.
    • Highlighting the importance of local conditions.

    Main Results:

    • Identified substantial differences in how medical manpower data is interpreted.
    • Stressed the necessity of considering specific local contexts.

    Conclusions:

    • Careful assessment of medical manpower data is essential.
    • Local conditions must be considered when developing regulations for medical workforce direction.