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

Observational Learning01:12

Observational Learning

769
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
769
Modeling and Similitude01:12

Modeling and Similitude

564
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
564
Steps in the Modeling Process01:14

Steps in the Modeling Process

581
Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
581
Stereotype Content Model02:16

Stereotype Content Model

15.3K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.3K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

189
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
189
Associative Learning01:27

Associative Learning

1.1K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Insufficient mpox knowledge among public health professionals involved in infectious disease prevention and control in China: a large-scale online cross-sectional survey.

BMC public healthยท2026
Same author

A complex network analysis of heavy air pollution transport in NW China's urban agglomerations.

Journal of environmental managementยท2026
Same author

Developmental trajectories of visual acuity and associated determinants in Chinese primary school students: a longitudinal cohort study.

Frontiers in public healthยท2026
Same author

Revisiting the hemodiafiltration with endogenous reinfusion: what is its merit in clinical practice? A narrative review.

Annals of medicineยท2026
Same author

Electroacupuncture alleviates acute gouty arthritis by inhibiting NLRP3 inflammasome activation via modulation of the circadian-inflammation axis.

International immunopharmacologyยท2026
Same author

Frailty trajectories before and after diabetes: a prospective cohort study in the UK and the US.

International journal of surgery (London, England)ยท2026

Related Experiment Video

Updated: Jan 5, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

Automatic soft independent modeling for class analogies.

Zewei Chen1, Peter de Boves Harrington1

  • 1Center for Intelligent Chemical Instrumentation, Clippinger Laboratories, Department of Chemistry and Biochemistry, Ohio University, Athens, OH, 45701, USA.

Analytica Chimica Acta
|October 28, 2019
PubMed
Summary
This summary is machine-generated.

A new automatic SIMCA (aSIMCA) method optimizes authentication models by self-determining key parameters. This approach, using response surface modeling, proved computationally efficient and accurate for botanical extract authentication.

Keywords:
2-Dimensional interpolationAutomatic soft independent modeling of class analogyCannabisHempMarijuanaResponse surface modeling

Related Experiment Videos

Last Updated: Jan 5, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

Area of Science:

  • Chemometrics
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Soft independent modeling of class analogy (SIMCA) is crucial for authentication but relies on optimal parameter selection.
  • Key SIMCA parameters, principal component number and decision threshold, significantly impact model performance.

Purpose of the Study:

  • To develop a self-optimizing SIMCA (aSIMCA) that automatically determines optimal parameters.
  • To compare the performance and efficiency of aSIMCA against traditional grid search optimization.

Main Methods:

  • Incorporated response surface modeling (RSM) and bootstrapped Latin partitions for efficient parameter optimization.
  • Evaluated parameter ranges using sensitivity and specificity on model-building data.
  • Modeled the response surface using 2D interpolation and a bivariate cubic polynomial.
  • Validated aSIMCA on marijuana and hemp botanical extracts using multi-spectroscopic data.

Main Results:

  • aSIMCA with RSM demonstrated comparable performance to grid search for authenticating marijuana and hemp.
  • RSM-based optimization was found to be more computationally efficient than grid search.
  • 2D interpolation offered superior efficiency and precision in modeling the response surface.

Conclusions:

  • The developed aSIMCA method provides an efficient and accurate approach for SIMCA model optimization.
  • RSM integration offers a significant computational advantage in parameter tuning for authentication models.
  • 2D interpolation is recommended for its precision and efficiency in response surface modeling.