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

Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

15.1K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
15.1K
Machines: Problem Solving I01:22

Machines: Problem Solving I

797
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...
797
Machines: Problem Solving II01:30

Machines: Problem Solving II

745
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.
745
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

11.6K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.6K
Predicting Products: SN1 vs. SN202:27

Predicting Products: SN1 vs. SN2

17.7K
Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
17.7K
Improving Translational Accuracy02:07

Improving Translational Accuracy

15.5K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.5K

You might also read

Related Articles

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

Sort by
Same author

Erratum: Time-resolved dosimetry for validation of 4D dose calculation in PBS proton therapy (2020<i>Phys. Med. Biol.</i>65 125015).

Physics in medicine and biology·2025
Same author

Requirements for dose calculation on an active scanned proton beamline for small, shallow fields.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2023
Same author

Novel unconventional radiotherapy techniques: Current status and future perspectives - Report from the 2nd international radiation oncology online seminar.

Clinical and translational radiation oncology·2023
Same author

Narrative enhancement and cognitive therapy (NECT) to improve social functioning in people with serious mental illness: study protocol for a stepped-wedge cluster randomized controlled trial.

Trials·2021
Same author

Probabilistic topic modelling in food spoilage analysis: A case study with Atlantic salmon (Salmo salar).

International journal of food microbiology·2020
Same author

Time-resolved dosimetry for validation of 4D dose calculation in PBS proton therapy.

Physics in medicine and biology·2020
Same journal

RELATIONSHIPS BETWEEN SOME SOIL PARAMETERS AND WEED COMMUNITY (CASE STUDY: WINTER WHEAT FIELDS OF UREMIA-IRAN).

Communications in agricultural and applied biological sciences·2016
Same journal

EASTERN DODDER (CUSCUTA MONOGYNA VAHL.) SEED GERMINATION AFFECTED BY SOME HERBACEOUS DISTILLATES.

Communications in agricultural and applied biological sciences·2016
Same journal

EFFICACY OF METAMITRON IN APPLE THINNING IN SERBIA.

Communications in agricultural and applied biological sciences·2016
Same journal

RESISTANCE TO ALS-INHIBITING HERBICIDES IN WEED POPULATIONS FROM BELGIAN WHEAT FIELDS.

Communications in agricultural and applied biological sciences·2016
Same journal

INTEGRATED WEED CONTROL IN MAIZE.

Communications in agricultural and applied biological sciences·2016
Same journal

EFFECTS OF SOME BIOINSECTICIDES AND ENTOMOPATHOGENIC FUNGI ON COLORADO POTATO BEETLE (LEPTINOTARSA DECEMLINEATA L.).

Communications in agricultural and applied biological sciences·2016
See all related articles

Related Experiment Video

Updated: Mar 29, 2026

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

10.1K

RECIPE COMPLETION USING MACHINE LEARNING TECHNIQUES.

M De Clercq, M Stock, B De Baets

    Communications in Agricultural and Applied Biological Sciences
    |December 4, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a model to suggest additional ingredients for recipes based on available items. It helps users create complete meals from fridge leftovers, simplifying cooking.

    More Related Videos

    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
    04:09

    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

    Published on: October 10, 2018

    8.9K

    Related Experiment Videos

    Last Updated: Mar 29, 2026

    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    10.1K
    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
    04:09

    Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

    Published on: October 10, 2018

    8.9K

    Area of Science:

    • Computational chemistry
    • Food science
    • Artificial intelligence

    Background:

    • Recipe completion relies on complex ingredient interactions (taste, smell, texture).
    • Existing methods often overlook ingredient synergy and waste reduction.

    Purpose of the Study:

    • To develop a predictive model for suggesting complementary ingredients.
    • To assist users in creating recipes from available food items, minimizing waste.

    Main Methods:

    • Utilizing a machine learning approach to analyze ingredient combinations.
    • Developing an algorithm to predict optimal additions based on user-inputted ingredients.

    Main Results:

    • The model successfully suggests viable ingredient additions for incomplete recipes.
    • Demonstrated potential for reducing food waste by utilizing leftovers.

    Conclusions:

    • The developed model offers a practical solution for recipe generation using available ingredients.
    • This approach can enhance culinary creativity and promote sustainable food practices.