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

What is Variation?01:14

What is Variation?

18.6K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.6K
Porosity and Absorption of Aggregate01:20

Porosity and Absorption of Aggregate

811
Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
When all pores in an aggregate are filled with water, the aggregate is considered saturated and surface-dry. If left in dry air, water will evaporate until the...
811
Porosity in Cement Paste01:18

Porosity in Cement Paste

465
The porosity of concrete is a measure of the void spaces within its structure. These spaces impact its strength and durability significantly. When water and cement interact, a chemical reaction called hydration creates a semi-solid paste. This paste includes combined water, making up approximately 23% of the cement's dry mass, and gel water, which fills minuscule voids known as gel pores, accounting for about 28% of the cement gel volume.
The balance of water to cement in the mix is...
465
Variation01:19

Variation

8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

6.8K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
6.8K
Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

4.2K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Preclinical evaluation of route-dependent immune responses following repeated administration of a Klebsiella pneumoniae lytic phage cocktail in rats.

Molecular biology reports·2026
Same author

Data-Informed Tuning of Texture in Xanthan Gum-Based 3D-Printed Foods Using ANOVA and Machine Learning.

Journal of food science·2026
Same author

Molecular Characterization and Antifungal Profiling of Nine Phenotypic Aspergillus nidulans Isolates: A Case Series From North India.

MicrobiologyOpen·2026
Same author

Impact of nutritional status on 30-days postoperative morbidity and mortality in patients undergoing emergency laparotomy for gastrointestinal perforation peritonitis: a prospective observational study.

BMC surgery·2026
Same author

Climate change scenarios across South-Kivu agroecological zones, Eastern D.R. Congo.

Scientific reports·2026
Same author

Blood Safety: The Madhya Pradesh Centralized Nucleic Acid Testing (NAT) Model for Blood Donor Screening.

Cureus·2026

Related Experiment Video

Updated: Feb 7, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.7K

Heterogeneous modeling based prosthesis design with porosity and material variation.

Sudhir Kumar Singh1, Puneet Tandon1

  • 1Mechanical Engineering Discipline, PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India.

Journal of the Mechanical Behavior of Biomedical Materials
|July 30, 2018
PubMed
Summary

This study introduces heterogeneous bio-implants to reduce stress shielding and improve bone ingrowth. The radial variation model demonstrated superior performance in minimizing implant stiffness and enhancing stability.

Keywords:
Consolidation analysisHeterogeneous modelingOsseointegrationStress shielding

More Related Videos

Fabrication and Design of Wood-Based High-Performance Composites
08:08

Fabrication and Design of Wood-Based High-Performance Composites

Published on: November 9, 2019

14.0K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.2K

Related Experiment Videos

Last Updated: Feb 7, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.7K
Fabrication and Design of Wood-Based High-Performance Composites
08:08

Fabrication and Design of Wood-Based High-Performance Composites

Published on: November 9, 2019

14.0K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.2K

Area of Science:

  • Biomaterials Engineering
  • Orthopedic Implants
  • Tissue Engineering

Background:

  • Stress shielding, a common issue with rigid implants, can impede bone integration.
  • Current implants often lack the mechanical adaptability to match bone stiffness, leading to suboptimal outcomes.
  • Enhancing osseointegration and minimizing stress shielding are critical for long-term implant success.

Purpose of the Study:

  • To develop heterogeneous bio-implants designed to mitigate stress shielding.
  • To enhance bone ingrowth and overall implant stability through tailored material properties and porosity.
  • To investigate different material variation strategies (radial, axial, mixed) for optimal implant performance.

Main Methods:

  • Development of heterogeneous bio-implant models with graded porosity and material variations.
  • Static analysis was performed on material variation models.
  • Consolidation analysis was conducted for graded porosity and material variation models.

Main Results:

  • Heterogeneous bio-implants with graded porosity and material variations were designed.
  • Radial, axial, and mixed material variation models were analyzed.
  • The radial variation model showed the most promising results in minimizing stress shielding and enhancing stability.

Conclusions:

  • Heterogeneous bio-implants offer a viable solution to the stress shielding problem.
  • Graded porosity and material variation, particularly radial, are effective strategies for improving implant performance.
  • The radial variation model shows potential for enhanced osseointegration and long-term implant viability.