ETHER THE MAGIC OF PAINLESS SURGERY FIRST USED BY Dr. CRAWFORD LONG(1815-1875) Dr Crawford Williamson Long and ETHER to create painless surgery. In March 1842‚ Dr Crawford Williamson Long removed 2 tumours from the neck of a Mr James Venable under ether anaesthesia. But how did Dr Long come to this discovery? When Dr Crawford Long was at school and at Medical School of the University of Pennsylvania‚ it was fashionable with students to inhale gases like ether to create
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Cranial Nerves The brain and spinal cord (CNS) are connected to parts of the body by nerves and cell bodies called the peripheral nervous system. The PNS contains all of the nervous tissue outside the brain and spinal cord. Afferent (sensory) nerve fibers-conduct nerve impulses toward the CNS Efferent (motor) nerve fibers-conduct nerve pulses away Sensory Somatic System – Carries nerve impulses from the senses to the CNS and also carries the impulses to the skeletal muscles and glands
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The nerve impulse The information is transmitted by polarity changes in the membranes of cells due to the presence of neurotransmitters that alter the ionic concentration inside the cell. Moreover‚ inside the neuron proteins and ions are negatively charged . This difference in ion concentration also produces a potential difference between the outer membrane and within the cell . The value reached is about -70 millivolts (negative inside with respect to the value of positive charges outside
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Nerve Physiology Cells in the Nervous System * Two types * Nerve cell or neurons * Glial cells or neuroglia Neurons * Functional unit of nervous system * Have anatomically and physiologically specialized for communication and signaling * Neurocrene * 10 billion neurons in nervous system * Once they degenerate they don’t usually go REGENERATION Neuroglia * Nerve glue * Supportive cells * 10x greater of your neurons * Not involve in impulse
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These important ions help regulate homeostasis in our bodies‚ as well as allowing us to move‚ absorb food‚ heal‚ and reproduce. Understanding how these ions work within our bodies will allow us to comprehend the physiology behind muscle contraction‚ nerve signaling and cell signaling. Upon learning about calcium‚ we already briefly know how
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A growing number of researchers regard the question of how much heredity and environment contribute to differences among people as Selected Answer: mainly answered by DNA. Question 2 0.5 out of 0.5 points Fetal monitors Selected Answer: track the baby’s heart rate during labor. Question 3 0 out of 0.5 points Patsy and Terry are fraternal twins. This type of twinning results from Selected Answer: the fertilization of one ovum by two Y-bearing sperm
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is a relationship between addition and multiplication. When you are multiplying you are simply adding the same number several times. For example 2*3 is the same as adding 2 three times‚ 2*3=6 which is the same as 2+2+2=6. Understanding the relationship between addition and multiplication contributes to the understanding of these concepts to the student because the student will be able to grasp the concept with more ease since they should have been experts in addition once they start learning multiplication
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ARTIFICIAL NEURAL NETWORKS AND THEIR APPLICATIONS IN BUSINESS Ankit Chauhan Ist Semester – MBA (GEN) University School of Management Guru Gobind Singh Indraprastha University Abstract- This report is an introduction to Artificial Neural Networks. The various types of neural networks are explained and demonstrated‚ applications of neural networks like ANNs in business and organizations are described‚ and a detailed historical background is provided. The connection between the artificial
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Artificial Neural Network Sphoorti Sood1and Divya Gupta2 1{Student of Computer Science Department SRMSWCET‚ Bareilly} sphoortisood@yahoo.in 2{Student of Computer Science Department SRMSWCET‚ Bareilly} divyagupta1309@gmail.com Abstract— Artificial neural networks (ANNs) are simplified models of human brain. These are networks of computing elements that have the ability to respond to input stimuli
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PAPER ON ARTIFICIAL NEURAL NETWORKS ABSTRACT The developments in Artificial Intelligence (AI) appear promising‚ but when applied to real world intelligent task such as in speech‚ vision and natural language processing‚ the AI techniques show their inadequacies and ‘brittleness’ in the sense that they become highly task specific. The computing models inspired by biological neural networks can provide new directions to solve problems arising in natural tasks.
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