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

581
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...
581
Machines: Problem Solving II01:30

Machines: Problem Solving II

673
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.
673
Machines: Problem Solving I01:22

Machines: Problem Solving I

717
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...
717
Nursing Diagnosis01:22

Nursing Diagnosis

4.2K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
4.2K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
Overview of Advanced Functional Groups02:22

Overview of Advanced Functional Groups

30.1K

Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of Advanced Functional Groups
The table below summarizes some of the major functional groups in organic chemistry.
30.1K

You might also read

Related Articles

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

Sort by
Same author

Ginsenoside Rb2 alleviates myocardial ischemia/reperfusion injury through IKKα lactylation regulation of macrophage polarization.

Cardiovascular diagnosis and therapy·2026
Same author

Chirality-Match-Directed Radical Truce-Smiles Rearrangement of <i>N</i>-Arylsulfinyl Allylamines for Stereoselective Construction of Acyclic Quaternary Carbon Stereocenters.

Organic letters·2026
Same author

Long-Term Cardiovascular Burden After Carotid Endarterectomy: Moving Beyond Conventional Risk Profiling.

Mayo Clinic proceedings·2026
Same author

A highly efficient and interpretable framework for high-precision lithological identification integrating SERS and XGBoost.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Broccoli-Derived Peptides and Leucine in Combination Ameliorate D-Galactose-Induced Sarcopenia in Mice.

Nutrients·2026
Same author

Ischemia-Reperfusion Injury: Molecular Mechanisms and Therapeutic Interventions.

MedComm·2026

Related Experiment Video

Updated: Feb 8, 2026

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

7.5K

Advancing Bone Tumor Diagnosis and Evaluating Machine Learning Assistance Through Multireader Studies

Lijun Ye1, Yu Shang2, Wei Zhu3

  • 1Department of Radiology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China (L.Y., W.Z.); Department of Stomatology, Epidemiology, The Fourth Clinical Medical College, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Hubei, P.R.C, Xiangyang, Hubei Province, 441000, China (L.Y., Y.S., P.A.).

Academic Radiology
|February 6, 2026
PubMed
Summary

No abstract available in PubMed .

More Related Videos

Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone
06:53

Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone

Published on: September 9, 2020

3.3K
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

2.6K

Related Experiment Videos

Last Updated: Feb 8, 2026

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

7.5K
Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone
06:53

Modeling Primary Bone Tumors and Bone Metastasis with Solid Tumor Graft Implantation into Bone

Published on: September 9, 2020

3.3K
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

2.6K