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What Is Lmo? State Some Of Its Importance?
LMO stands for living modified organism. LMO are those organisms that have been genetically modified through the application of biotechnology. LMO also includes organisms that have been modified by novel recombinant DNA techniques as well as those that have been modified by mutagenesis or classical breeding and selection techniques. Importance of LMO’s is that they can eat hazardous waste.
Question 20. What Is Prosthetic Limb? What Are Its Drawbacks?
Answer :
It is an artificial device which can be used to replace a missing body part. It is based on the principle of biomechatronics. It can be used to replace body part missing from birth, due to injury or due to defect. The main drawback of prosthetic limb is its cost. Moreover, prosthetic limbs have to be replaced every 3-4 year due to the wear and tear. If the limb has fit tissues then the sockets in the limb have to be replaced every month.
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Question 21. What Is Eeg Scan? Explain The Wave Patterns Seen In An Eeg Scan?
Answer :
Electroencephalography is commonly known as EEG. It is the recording of the electrical activity along the scalp. This technique can measure the fluctuations in voltage resulting through the ionic flow of current within the neurons of the brain. In EEG multiple electrodes are placed on the scalp which is used to record brain’s spontaneous electrical activity over a short period of time. EEG can be used for the diagnosis of coma, encephalopathies, and brain death. Wave patterns commonly observed in EEG are delta - state of sleep, theta – drowsiness, alpha - relaxation, and beta - active thinking and gamma.
Question 22. Explain The Biological Neuron Model. How Is It Different From Artificial Neuron?
Answer :
Biological neuron is also commonly known as spiking neuron model. This model is mathematical description of the properties of the nerve cell or neuron. This model is formulated to predict and describe the biological processes. This is different from artificial neuron because, artificial neuron is based on computational effectiveness. Artificial neuron is based on the synaptic weight for determining the neuron output.
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