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Real Time RT-PCR02:57

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Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
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Real Number System01:27

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The real number system includes all numbers used for counting, measuring, and comparing quantities. Natural numbers are the basic counting numbers: 1, 2, 3, and so on. Integers expand this set by including zero and negative whole numbers: ..., –3, –2, –1, 0, 1, 2, .... Rational numbers are those that can be expressed as the ratio of two integers m/n, where n≠0. This includes fractions like 1/2​, integers such as 46, and decimals that terminate, such as 0.17, or...
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Non-gated Ion Channels01:24

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Ion channels are specialized proteins on the plasma membrane that allow charged ions to pass down their electrochemical gradient. Their main function is to maintain the membrane potential which is critical for cell viability. These channels are either gated or non-gated and can transport more than a thousand ions within milliseconds for the cellular event to occur.
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Non-verbal communication plays a critical role in human interaction, influencing how individuals perceive emotions and psychological states. It operates through four primary channels: facial expressions, eye contact, body language, and touch. These non-verbal cues help convey meaning beyond spoken language and are often culturally influenced.Facial Expressions and Emotional RecognitionFacial expressions are among the most powerful and universal forms of non-verbal communication. Research has...
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Related Experiment Video

Updated: Feb 2, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Single-Channel Real-Time Drowsiness Detection Based on Electroencephalography.

Hassan Albalawi, Xin Li

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |November 17, 2018
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    Summary

    A new real-time drowsiness detection algorithm uses electroencephalography (EEG) for wearable devices. This system accurately identifies drowsiness, outperforming conventional methods for improved road safety.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Signal Processing

    Background:

    • Drowsiness is a significant factor in accidents, comparable to alcohol impairment.
    • There is a growing need for effective, real-time drowsiness detection systems.

    Purpose of the Study:

    • To develop a real-time drowsiness detection algorithm using single-channel electroencephalography (EEG).
    • To create a low-resource algorithm suitable for wearable devices.

    Main Methods:

    • Feature extraction from 8 distinct EEG frequency bands (delta, theta, low-alpha, high-alpha, low-beta, high-beta, low-gamma, high-gamma) using a cumulative counter.
    • Classification of drowsy and awake states using a Support Vector Machine (SVM).

    Main Results:

    • The proposed algorithm achieved a detection accuracy of 83.36%.
    • This accuracy is superior to conventional methods, which achieved 70.62%.

    Conclusions:

    • The developed algorithm offers a reliable and accurate method for real-time drowsiness detection.
    • The algorithm is optimized for wearable devices, requiring minimal computing and power resources.