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Related Concept Videos

Passive Filters01:27

Passive Filters

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Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
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Active Filters01:25

Active Filters

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Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
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Transduction01:16

Transduction

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Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome...
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Classifying Matter by Composition03:35

Classifying Matter by Composition

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Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
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Signal Transduction: Overview01:26

Signal Transduction: Overview

11.5K
Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk.
Typically, signal transduction involves three...
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Composition of Blood01:22

Composition of Blood

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The blood in our bodies comprises three major components: blood plasma, formed elements, and the extracellular matrix. Blood plasma is a yellowish fluid that constitutes 55% of the total blood volume. It is primarily made up of water and essential substances such as electrolytes and proteins. Blood plasma serves as a medium for transporting blood cells and also contains nutrients, enzymes, hormones, antibodies, and gases.
Formed elements constitute the remaining 45% of the blood volume. These...
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Updated: Jan 27, 2026

A Behavioral Assay for Mechanosensation of MARCM-based Clones in Drosophila melanogaster
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Filtered Mechanosensing Using Snapping Composites with Embedded Mechano-Electrical Transduction.

Hortense Le Ferrand1,2, André R Studart1, Andres F Arrieta2

  • 1Complex Materials, Department of Materials , ETH Zürich , Vladimir-Prelog-Weg 5 , 8093 Zürich , Switzerland.

ACS Nano
|March 30, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed novel bistable mechanosensors inspired by nature. These low-power, scalable sensors filter mechanical inputs, convert them to electrical signals, and can be reset magnetically, enabling smart structures.

Keywords:
anisotropybioinspired compositeelectrical conductivityhierarchical microstructuremechanosensing

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Area of Science:

  • Materials Science
  • Biomimetic Engineering
  • Sensor Technology

Background:

  • Mechanosensing is crucial for biological systems, enabling environmental interaction and response.
  • Synthetic mechanosensing faces challenges in large, stiff structures due to data volume and stress diversity.
  • Biological systems utilize filtered sensing via mechanical displacement to manage complex stimuli.

Purpose of the Study:

  • To develop scalable, tunable mechanosensors for large, stiff structures.
  • To mimic biological filtered sensing strategies using synthetic materials.
  • To create low-power sensors with multiple functionalities: sensing, filtering, signal transduction, and reset.

Main Methods:

  • Fabrication of bistable elements using hierarchically structured composites.
  • Arrangement of elements into large-area arrays.
  • Experimental demonstration of filtering and passive response using electrical circuits and magnetic fields.

Main Results:

  • Demonstrated passive filtering of mechanical inputs by bistable elements.
  • Successfully translated mechanical stimuli into electrical signals.
  • Showcased the ability to reset sensors using an external magnetic field.
  • Verified fast passive response and filtering capabilities.

Conclusions:

  • Developed versatile, low-power mechanosensors inspired by biological filtered sensing.
  • Hierarchically structured composites enable scalable arrays for load-bearing structures.
  • These sensors offer a pathway for creating adaptive structures that respond to magneto-mechanical stimuli.