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

Machines01:19

Machines

388
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
388
Machines: Problem Solving II01:30

Machines: Problem Solving II

442
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.
442
Machines: Problem Solving I01:22

Machines: Problem Solving I

472
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
472
Force Classification01:22

Force Classification

1.8K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.8K
Introduction to Learning01:18

Introduction to Learning

609
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
609
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

176
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
176

You might also read

Related Articles

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

Sort by
Same author

"The birds, the bees, and the blastocysts".

Fertility and sterility·2025
Same author

Transcriptomic landscape of cumulus cells from patients <38 years old with a history of poor ovarian response (POR) treated with platelet-rich plasma (PRP).

Aging·2025
Same author

To trigger or surge: equal outcomes in modified and true natural frozen embryo transfer cycles.

Fertility and sterility·2025
Same author

Unlocking potential: advanced practice providers in reproductive endocrinology and infertility.

F&S reports·2025
Same author

Should you trust intuition or an online algorithm to aid in the diagnosis of ectopic pregnancy?

Fertility and sterility·2022
Same author

Taking a second look at obstetrical outcomes after assisted reproductive technologies.

F&S reports·2021
Same journal

Confronting complexities of uterus transplantation: Balancing Innovation, Risk and Access.

Fertility and sterility·2026
Same journal

Fertility Benefits and Parental Leave Policies across Accreditation Council for Graduate Medical Education (ACGME) Programs with Ob/Gyn Residency Programs.

Fertility and sterility·2026
Same journal

Optimizing the therapeutic donor insemination cycle.

Fertility and sterility·2026
Same journal

Hormonal and metabolic effects of the administration of oral low-dose 17-β-estradiol (0.2 mg) in patients with Functional Hypothalamic Amenorrhea (FHA): A Retrospective Pilot Study.

Fertility and sterility·2026
Same journal

Biomarker or Bystander? Considering Triglyceride Glucose-Body Mass Index (TyG-BMI) in Patients with Polyendocrine Metabolic Ovarian Syndrome.

Fertility and sterility·2026
Same journal

The Importance of the Incubator: Perinatal Outcomes following Intravaginal Culture.

Fertility and sterility·2026
See all related articles

Related Experiment Video

Updated: Oct 18, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.2K

The ghost in the machine (learning)

Leah M Roberts1, Thomas A Molinaro2

  • 1Reproductive Medicine Associates of New Jersey, Basking Ridge, New Jersey; Division of Reproductive Endocrinology and Infertility, Department of Obstetrics & Gynecology, Thomas Jefferson University, Philadelphia, Pennsylvania.

Fertility and Sterility
|October 4, 2021
PubMed
Summary

No abstract available in PubMed .

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.0K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

1.2K

Related Experiment Videos

Last Updated: Oct 18, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

4.2K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.0K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

1.2K