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Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
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Open and closed-loop control systems01:17

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
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Related Experiment Video

Updated: Jul 4, 2026

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

Automation is not evidence of efficiency.

Matthew Grainger1, Sini Savilaakso2, Neal Haddaway3

  • 1Norwegian Institute for Nature Research, Torgarden, P.O. Box 5685, 7485, Trondheim, Norway. matthew.grainger@nina.no.

Environmental Evidence
|July 3, 2026
PubMed
Summary

Hodgson et al. (2026) evaluated ontology-grounded large language models (LLMs) for environmental data extraction. Their study quantifies LLM performance and identifies current limitations in evidence synthesis.

Area of Science:

  • Environmental Science
  • Computational Linguistics
  • Data Science

Background:

  • Environmental evidence synthesis relies on accurate data extraction.

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Last Updated: Jul 4, 2026

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

  • Large language models (LLMs) show promise for automating data extraction.
  • Ontology-grounded LLMs aim to improve data extraction accuracy and interpretability.