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

Mnemonic Devices01:23

Mnemonic Devices

58
Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
58
Explicit Memories01:27

Explicit Memories

101
Explicit memories, also known as declarative memories, are consciously remembered, recalled, and reported. Studying for a chemistry exam involves material that will become part of explicit memory. There are two types of explicit memory: episodic and semantic.
Episodic memory contains information about personally experienced events and is reported as a story. An example of episodic memory is recalling a birthday celebration. This type of memory includes the what, where, and when of an event, as...
101
System of Memory01:23

System of Memory

4.7K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
4.7K
Eyewitness Memory01:22

Eyewitness Memory

90
Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
One such error is memory distortion, which occurs because human memory does not function...
90
Implicit Memories01:24

Implicit Memories

95
Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
95
Retrieval01:12

Retrieval

89
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
89

You might also read

Related Articles

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

Sort by
Same author

A reduced-order-model-based equivalent circuit for piezoelectric micro-electro-mechanical-system loudspeakers modeling.

The Journal of the Acoustical Society of America·2024
Same author

Reinforcement learning optimisation for graded metamaterial design using a physical-based constraint on the state representation and action space.

Scientific reports·2023
Same author

PMUTs Arrays for Structural Health Monitoring of Bolted-Joints.

Micromachines·2023
Same author

Optimization of an Impact-Based Frequency Up-Converted Piezoelectric Vibration Energy Harvester for Wearable Devices.

Sensors (Basel, Switzerland)·2023
Same author

An Experimental and Numerical Study on Glass Frit Wafer-to-Wafer Bonding.

Micromachines·2023
Same author

Piezoelectric Energy Harvesting from Low-Frequency Vibrations Based on Magnetic Plucking and Indirect Impacts.

Sensors (Basel, Switzerland)·2022
Same journal

Correction: Kang et al. Fluid Flow to Electricity: Capturing Flow-Induced Vibrations with Micro-Electromechanical-System-Based Piezoelectric Energy Harvester. <i>Micromachines</i> 2024, <i>15</i>, 581.

Micromachines·2026
Same journal

Femtosecond Laser Texturing of Wood Coatings with Bio-Based Epoxy and Wax Additives for Enhanced Hydrophobicity.

Micromachines·2026
Same journal

Engineering of Optoelectronic Devices for Renewable Energy Applications.

Micromachines·2026
Same journal

Phase Transformation and Electrochemical Behavior of Hexagonal TiO<sub>2</sub> Nanotubes Under Different Annealing Temperatures and Heating Rates.

Micromachines·2026
Same journal

Process Optimization and Predictive Modeling of Femtosecond Laser Precision Milling for Commercial PMMA Slices.

Micromachines·2026
Same journal

A Hybrid Preprocessing Multi-Objective Surrogate Model for Thermal MEMS Actuators.

Micromachines·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.7K

Editorial for the Topic: MEMS in Italy.

Alberto Corigliano1

  • 1Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milano, Italy.

Micromachines
|January 8, 2025
PubMed
Summary
This summary is machine-generated.

Microelectromechanical systems (MEMS) have significantly advanced in capabilities and adoption over three decades. This progress highlights their growing importance in various technological applications.

More Related Videos

A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
Eye Movement Monitoring of Memory
08:06

Eye Movement Monitoring of Memory

Published on: August 15, 2010

14.6K

Related Experiment Videos

Last Updated: Jun 3, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
08:07

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

7.7K
A Method for Growing Bio-memristors from Slime Mold
07:46

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

8.9K
Eye Movement Monitoring of Memory
08:06

Eye Movement Monitoring of Memory

Published on: August 15, 2010

14.6K

Area of Science:

  • Engineering and Materials Science
  • Focuses on the design, fabrication, and application of microscale devices.

Background:

  • Microelectromechanical systems (MEMS) have undergone substantial development over the past 30 years.
  • This evolution encompasses both their inherent potential and widespread adoption across industries.

Discussion:

  • The trajectory of MEMS development indicates a maturing technology with expanding influence.
  • Continued innovation is crucial for maintaining momentum in this dynamic field.

Key Insights:

  • MEMS technology has demonstrated remarkable growth in potential and market penetration.
  • This sustained development underscores the increasing relevance of microsystems in modern technology.

Outlook:

  • Future advancements in MEMS are expected to drive further integration into diverse applications.
  • The field is poised for continued innovation, expanding the scope and impact of microscale engineering.