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3 (a) Find the work done by the force F(x, y, z) = xyi+yzj+zxk in moving a particle along the curve C' given by x(t)=t, y(t) = t², z(t)= t³ 0≤t≤1. (b) Evaluate the double integral 5² 5² √² - 0² 1- v² du dv. 19682 [5 marks] [5 marks]
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4. CGM (continuous glucose monitoring) measures the level of glucose in interstitial fluid. In contrast to the measurement of blood glucose, the method is noninvasive and may be conducted at a high frequency, e.g. every 5 min using a wearable device. Multiple studies indicated that, for nondiabetic individuals, the value should not rise above 140 mg/dL for one or two percent of the time every day. File CGMdata.txt contains the recordings from 57 participants. Columns in the file are DisplayTime (time stamp as recorded by the monitor), GlucoseValue (glucose concentration in mg/dL), subjectld (participant id number), and InternalTime (internal time stamp). The pattern below is from one of the participants with poor glucose regulation, showing a large spike following each main meal. The program CGM1_HW.mlx is designed to help you identify this participant by displaying all the CGM data as tiles. Places that need completion are marked as XXX. Due 9/21, 3 points. الميساني 290 50 References: https://github.com/irinagain/Awesome-CGM/wiki/Hall-(2018)

ASSIGNMENT Need to do in 1-2 pages double spaced MLA Conceptualize a design for biosensor systems to comparatively evaluate the detection of a large tissue sample from a biopsy and a micro sample from say a bacterial or virus sample like COVID. This could be a diagram, or an essay outlines the possible specifications of the design.

Visual T..S T₂ ·235 T₂.525 .48 .49 TA T5 ть T₂ FFF ·57 BE 312 Lab #2 2. Enter the mean reaction time for this exercise in Table 1. Exercise 4 Data Analysis 1. Use the same technique explained in Exercise 1 to measure and record the reaction times of the subject presented with predictable auditory signals. 2. Enter the mean reaction time for this exercise in Table 1. FINAL STEP: Enter your mean RT data into the spreadsheet provided. Name this spreadsheet TeamLxxx_lab2.xlsx where xxx is your team #. Upload this to the Box folder for Lab2. This must be done before Monday. Table 1: Mean Reaction Times for Different Signals. • T₂ TA Ts T₂ T₂- TB 18 Та То Auditory Signal Visual Auditory Prompted Auditory ·5 .52 •605 Report Questions 49 1. Include a completed Table 1 Questions Exercise 1 and 2 Predictable Auditory Mean Reaction Time of Your Subject (ms) Mean Reaction Time of All Subjects (ms) 0.045 0.125 0.035 Shortest Mean Reaction Time in Class (ms) Longest Mean Reaction Time in Class (ms) 2. How does the subject's mean reaction time to visual signals compare to his or her mean reaction time to auditory signals? 3. What would cause a longer reaction time to one type of signal as compared to another? 4. How do your subject's mean reaction times compare to those of other subjects? 5. Do all subjects respond more quickly to the same signal? 71-0-025 T₁-0-125 0.070 Questions Exercise 3 and 4 6. To which auditory signal did your subject respond most quickly? -0.055 7. To which auditory signal did your subject respond to most slowly? For what reasons? 0.055 8. Did your subject respond more quickly or more slowly to same auditory signal as the other members of the class? -0.195 -0.070 Prompted Auditony 9. Using the entire class data, create scatter plots of the Mean Reaction time for all subjects for each of the four cases. Comment on each of these. 0-125 0.115 -0.105 0.035 0.105 0.055 0-170 0.125 0.145 Predictable Auditony 0045 0.125 0.015 0.185 0.035 0.035 0.185 0.055 -0.035 0.135 -0.025