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

Introduction to Types of Flows01:23

Introduction to Types of Flows

1.9K
Fluid flows are categorized by dimensionality and behavior, with one-dimensional flow being the simplest form, where properties like velocity and pressure change only along a single axis. Water moving through straight pipes exemplifies this flow type, as variations in other directions are minimal. One-dimensional analysis helps simplify understanding such flows, focusing solely on changes along the pipe's length.
Two-dimensional flow involves changes in both length and height, as seen in...
1.9K
Gradually Varying Flow01:29

Gradually Varying Flow

700
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
700
Rapidly Varying Flow01:24

Rapidly Varying Flow

731
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
731
Steady Flow of a Fluid Stream01:27

Steady Flow of a Fluid Stream

972
Consider a control volume, such as a pipe with solid boundaries, through which fluid flows and changes direction due to the impulse exerted by the resulting force from the pipe walls. In steady flow, the mass of fluid entering the control volume at a given time, t, with velocity v1, is equal to the mass leaving after infinitesimal time dt, with velocity v2.
During this process, the momentum of the fluid within the control volume remains constant over the time interval dt. By applying the...
972
General External Flow Characteristics01:26

General External Flow Characteristics

618
The study of external flow is essential for creating structures and objects that interact efficiently and safely with moving fluids, such as air or water. When a body is immersed in a flowing fluid, it experiences two primary forces: drag, which opposes motion along the flow direction, and lift, which acts perpendicular to the flow. The shape, size, and orientation of the object influence these forces.Streamlined and Blunt Bodies in External FlowObjects in fluid flow are classified as...
618
Turbulent Flow01:24

Turbulent Flow

921
Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent...
921

You might also read

Related Articles

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

Sort by
Same author

Technology Solutions for Nurse Leaders.

Nursing administration quarterly·2020
Same author

Artificial Intelligence and Nursing: The Future Is Now.

The Journal of nursing administration·2020
Same author

Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial.

JMIR diabetes·2019
Same author

Why Cities Survive and Companies Die.

The Journal of nursing administration·2019
Same author

Big Data Cohort Extraction to Facilitate Machine Learning to Improve Statin Treatment.

Western journal of nursing research·2018
Same author

Accountability of Nursing Interventions vs. Severity of Illness Scores for the Hospital Care Cost Of Total Hip Replacement.

Nursing economic$·2018
Same journal

The CNO-CFO Dyad: A Strategic Driver of Organizational Performance.

The Journal of nursing administration·2026
Same journal

Elements of Effective Professional Governance: An Integrative Review.

The Journal of nursing administration·2026
Same journal

New Nurse Well-Being: Implications for Retention, Job Satisfaction, and Patient Safety.

The Journal of nursing administration·2026
Same journal

Virtual Nursing Programs in Acute Care Settings: A Scoping Review of Patient, Nurse, and System-Level Outcomes.

The Journal of nursing administration·2026
Same journal

Occupational Fatigue and Cognitive Performance Among Front-Line Nurse Leaders: The Interplay of Personal and Work Factors.

The Journal of nursing administration·2026
Same journal

Enhancing Resilience and Well-Being Among Nurse Leaders: A Randomized Controlled Trial of Mindfulness and Narrative Interventions.

The Journal of nursing administration·2026
See all related articles

Related Experiment Video

Updated: May 1, 2026

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes
07:13

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes

Published on: February 13, 2021

1.9K

It's all about flow in a complex adaptive system.

Thomas R Clancy1

  • 1Author Affiliation: Clinical Professor and Assistant Dean, School of Nursing, The University of Minnesota, Minneapolis.

The Journal of Nursing Administration
|March 26, 2014
PubMed
Summary
This summary is machine-generated.

Complex systems, like healthcare, naturally increase in complexity over time. This study explores how the Constructal Law offers new management strategies to optimize nurse workflow within these evolving health systems.

More Related Videos

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

5.2K
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

11.8K

Related Experiment Videos

Last Updated: May 1, 2026

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes
07:13

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes

Published on: February 13, 2021

1.9K
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
09:39

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

5.2K
Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation

Published on: November 18, 2015

11.8K

Area of Science:

  • Complex Systems Science
  • Systems Theory
  • Health Systems Management

Background:

  • Systems naturally evolve towards increased complexity over time.
  • Complex systems science offers novel management perspectives for healthcare.
  • Systems theory provides a foundational, cross-disciplinary approach to understanding system dynamics.

Purpose of the Study:

  • To explore the application of the Constructal Law.
  • To analyze the impact of the Constructal Law on nurse workflow.
  • To provide new insights into managing complex health systems.

Main Methods:

  • Literature review of complex systems research.
  • Application of systems theory principles.
  • Discussion of the Constructal Law's relevance to healthcare.

Main Results:

  • The Constructal Law provides a framework for understanding system evolution.
  • The principles of the Constructal Law can inform strategies to manage system complexity.
  • Potential for improved efficiency and effectiveness in nurse workflow.

Conclusions:

  • The Constructal Law offers a valuable lens for analyzing and improving health systems.
  • Understanding system evolution is key to effective healthcare management.
  • Further research can explore practical implementations of the Constructal Law in nursing.