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 I01:22

Machines: Problem Solving I

592
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...
592
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

611
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
611
Method of Sections: Problem Solving II01:30

Method of Sections: Problem Solving II

1.5K
Consider an arbitrary truss structure composed of diagonal, vertical, and horizontal members fixed to the wall. To calculate the force acting on members CB, GB, and GH, method of sections can be used. The loads and lengths of the horizontal and vertical members are known parameters, as shown in the figure.
1.5K
Machines: Problem Solving II01:30

Machines: Problem Solving II

563
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.
563
Method of Sections: Problem Solving I01:27

Method of Sections: Problem Solving I

956
Consider a symmetrical roof truss structure, composed of vertical, diagonal, and horizontal members. The length of each horizontal member is 4 m. The lengths of the vertical members FB and HD are 4 m, while the length of member GC is 6 m. The loads acting at joints F, G, and H are 2 kN, while those at joints A and E are 1 kN.
956
Introduction to Nonlinear Inequalities01:25

Introduction to Nonlinear Inequalities

97
Linear and nonlinear inequalities are fundamental for analyzing variable relationships and identifying ranges satisfying specific conditions. A linear inequality involves variables raised only to the first power, resulting in a straight-line graph. This line partitions the coordinate plane into two distinct regions: one that satisfies the inequality and one that does not. Each region represents a set of solutions where the linear relationship holds true under the specified constraint.Nonlinear...
97

You might also read

Related Articles

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

Sort by
Same author

Tandem repeat variation within and between species reveals signatures of selection in humans and chimpanzees.

bioRxiv : the preprint server for biology·2026
Same author

Worth their weight in gray matter? A narrative review of cost-effectiveness analyses of monoclonal antibodies for Alzheimer's disease.

Alzheimer's & dementia (New York, N. Y.)·2026
Same author

A Statistical Framework to Infer the Mutation Model of Tandem Repeat Variants.

bioRxiv : the preprint server for biology·2026
Same author

Recent advances in methods to characterize archaic introgression in modern humans.

Genome research·2026
Same author

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same journal

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same journal

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
Same journal

Delayed reward information is underweighted in reinforcement learning with dispersed feedback.

PLoS computational biology·2026
Same journal

GHF-ACL: A novel contrastive learning framework with multi-order graph structures for herb-disease association prediction.

PLoS computational biology·2026
Same journal

GATE: Adaptive learning with working memory by information gating in multi-lamellar hippocampal formation.

PLoS computational biology·2026
Same journal

Evaluating vectors for the design of a spillover-disrupting Lassa virus transmissible vaccine.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Dec 10, 2025

Author Spotlight: Getting an A with the 3Cs: Chromosome Conformation Capture for Undergraduates
09:13

Author Spotlight: Getting an A with the 3Cs: Chromosome Conformation Capture for Undergraduates

Published on: May 12, 2023

4.1K

Ten simple rules for an inclusive summer coding program for non-computer-science undergraduates.

Pleuni Pennings1, Mayra M Banuelos2, Francisca L Catalan3

  • 1San Francisco State University, San Francisco, California, United States of America.

Plos Computational Biology
|September 4, 2020
PubMed
Summary
This summary is machine-generated.

This study outlines 10 rules for creating summer research programs for non-computer science (CS) undergraduates, especially those from historically underrepresented (HU) groups. The program successfully engages more students in computational research locally and part-time.

More Related Videos

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
09:55

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

Published on: September 28, 2022

1.9K
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.5K

Related Experiment Videos

Last Updated: Dec 10, 2025

Author Spotlight: Getting an A with the 3Cs: Chromosome Conformation Capture for Undergraduates
09:13

Author Spotlight: Getting an A with the 3Cs: Chromosome Conformation Capture for Undergraduates

Published on: May 12, 2023

4.1K
Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
09:55

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology

Published on: September 28, 2022

1.9K
Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

1.5K

Area of Science:

  • Computer Science Education
  • Undergraduate Research Programs
  • Computational Research Engagement

Background:

  • Limited undergraduate research opportunities exist for non-computer science (CS) students.
  • Traditional summer research programs pose barriers for students from historically underrepresented (HU) groups due to relocation and full-time commitments.
  • A free 9-week summer program at San Francisco State University (SFSU) was developed to address these limitations.

Discussion:

  • The SFSU program offers local, part-time opportunities, significantly increasing student participation compared to typical National Science Foundation (NSF) Research Experiences for Undergraduates (REU) programs.
  • The program accommodates students with family, work, or housing commitments, broadening access to computational research experiences.
  • Strategies are based on practical experience and some educational research, focusing on engaging HU undergraduates in CS.

Key Insights:

  • A successful model for engaging non-CS HU undergraduates in computational research has been established.
  • The program serves approximately five times more students than a typical NSF REU program on a smaller budget.
  • Ten practical rules are presented for faculty aiming to replicate similar initiatives.

Outlook:

  • Potential for wider adoption of accessible, inclusive undergraduate research programs in computer science.
  • Further research could formally test the effectiveness of the proposed strategies.
  • Expansion of computational research opportunities for diverse student populations.