1. Why does E. coli need both DNA polymerase III and DNA polymerase I?
a. The DNA replication is bidirectional; one polymerase is used for each direction.
b. Each polymerase is specific for only one strand of DNA. DNA polymerase III acts only on the leading strand, and DNA polymerase I acts only on the lagging strand.
c. Only DNA polymerase I has proofreading ability.
d. DNA polymerase III lacks the 5' → 3' exonuclease activity needed to remove RNA primers.
2. The replication of DNA is ________ because ________.
a. semiconservative; one strand of parental DNA is retained in each daughter DNA.
b. semiconservative; each daughter molecule has two new strands copied from the parental DNA template
c. conservative; each daughter molecule has two new strands copied from the parental DNA template.
d. conservative; one strand of parental DNA is retained in each daughter DNA.
3. Active transport proteins in biological membranes are
a. always transporting Ca2+ ions.
b. never driven by concentration gradients.
c. never driven by ATP to ADP conversion.
d. sometimes driven by concentration gradients.
4. Why should it not be surprising that for many cells water requires a protein for its transport across a membrane?
a. The transport protein is needed to prevent the hydrolysis of the phospholipid chains as water crosses the membrane.
b. Water is very polar which inhibits its free diffusion across the membrane.
c. All molecules require transport proteins to cross a membrane.
d. There is never a concentration gradient for water across the membrane to drive its transport.
5. The conversion of pyruvate to lactate in muscles also causes the ________.
a. reduction of NAD+.
b. oxidation of NAD+
c. oxidation of NADH
d. reduction of oxygen to water.
6. ATP is a cosubstrate of the enzyme PFK-1. In most species ATP is also an inhibitor of PFK-1 at higher concentrations. Which statement below would provide a suitable explanation?
a. PFK-1 must be phosphorylated by ATP in the active site and the phosphorylated PFK-1 must be the less active form.
b. There are two sites on PFK-1 that bind ATP. One is the active site; the other is the regulatory site where inhibition occurs allosterically.
c. ATP actually activates the reverse of the reaction preceding the PFK-1 step in the pathway. It likely has no direct effect on PFK-1.
d. There must be another cofactor interacting with ATP at high concentrations to achieve inhibition of PFK-1.
7. Briefly describe two ways for deactivation of GPCR-signaling.
In: Chemistry
Problem Statement:
1: Using a pivot table, show in an appropriate chart the total number of confirmed voters by percentage and by age group in the United States
2: What conclusions do you draw from the study and chart?
| State | Age | Total Population | Citizen Population | Registered Voters | Confirmed Voters |
| Alabama | 18 to 24 | 439000 | 428000 | 212000 | 155000 |
| Alabama | 25 to 34 | 576000 | 535000 | 359000 | 271000 |
| Alabama | 35 to 44 | 615000 | 582000 | 410000 | 330000 |
| Alabama | 45 to 64 | 1297000 | 1275000 | 1051000 | 939000 |
| Alabama | 65+ | 667000 | 660000 | 523000 | 459000 |
| Alaska | 18 to 24 | 63000 | 61000 | 31000 | 20000 |
| Alaska | 25 to 34 | 109000 | 103000 | 70000 | 46000 |
| Alaska | 35 to 44 | 86000 | 80000 | 60000 | 50000 |
| Alaska | 45 to 64 | 186000 | 182000 | 144000 | 122000 |
| Alaska | 65+ | 72000 | 69000 | 55000 | 51000 |
| Arizona | 18 to 24 | 586000 | 545000 | 301000 | 234000 |
| Arizona | 25 to 34 | 859000 | 709000 | 399000 | 289000 |
| Arizona | 35 to 44 | 870000 | 713000 | 437000 | 382000 |
| Arizona | 45 to 64 | 1656000 | 1502000 | 1015000 | 901000 |
| Arizona | 65+ | 892000 | 846000 | 659000 | 606000 |
| Arkansas | 18 to 24 | 288000 | 281000 | 126000 | 70000 |
| Arkansas | 25 to 34 | 362000 | 336000 | 194000 | 140000 |
| Arkansas | 35 to 44 | 357000 | 341000 | 234000 | 205000 |
| Arkansas | 45 to 64 | 742000 | 704000 | 498000 | 442000 |
| Arkansas | 65+ | 449000 | 448000 | 324000 | 267000 |
| California | 18 to 24 | 3962000 | 3479000 | 1787000 | 1447000 |
| California | 25 to 34 | 5357000 | 4153000 | 2548000 | 2070000 |
| California | 35 to 44 | 5030000 | 3675000 | 2478000 | 2118000 |
| California | 45 to 64 | 9356000 | 7827000 | 5459000 | 4926000 |
| California | 65+ | 4653000 | 4284000 | 3084000 | 2902000 |
| Colorado | 18 to 24 | 493000 | 461000 | 278000 | 259000 |
| Colorado | 25 to 34 | 693000 | 602000 | 411000 | 363000 |
| Colorado | 35 to 44 | 684000 | 616000 | 484000 | 452000 |
| Colorado | 45 to 64 | 1354000 | 1287000 | 1025000 | 989000 |
| Colorado | 65+ | 593000 | 577000 | 437000 | 432000 |
| Connecticut | 18 to 24 | 333000 | 308000 | 145000 | 123000 |
| Connecticut | 25 to 34 | 402000 | 331000 | 210000 | 177000 |
| Connecticut | 35 to 44 | 441000 | 382000 | 255000 | 223000 |
| Connecticut | 45 to 64 | 1047000 | 993000 | 768000 | 695000 |
| Connecticut | 65+ | 503000 | 486000 | 383000 | 351000 |
| Delaware | 18 to 24 | 82000 | 77000 | 38000 | 33000 |
| Delaware | 25 to 34 | 106000 | 86000 | 54000 | 49000 |
| Delaware | 35 to 44 | 119000 | 102000 | 77000 | 67000 |
| Delaware | 45 to 64 | 240000 | 232000 | 182000 | 168000 |
| Delaware | 65+ | 146000 | 145000 | 118000 | 113000 |
| District Of Columbia | 18 to 24 | 71000 | 61000 | 43000 | 38000 |
| District Of Columbia | 25 to 34 | 154000 | 133000 | 114000 | 102000 |
| District Of Columbia | 35 to 44 | 79000 | 67000 | 59000 | 55000 |
| District Of Columbia | 45 to 64 | 140000 | 129000 | 109000 | 99000 |
| District Of Columbia | 65+ | 73000 | 71000 | 60000 | 57000 |
| Florida | 18 to 24 | 1669000 | 1467000 | 751000 | 614000 |
| Florida | 25 to 34 | 2259000 | 1903000 | 1158000 | 987000 |
| Florida | 35 to 44 | 2456000 | 1960000 | 1335000 | 1177000 |
| Florida | 45 to 64 | 5345000 | 4814000 | 3474000 | 3107000 |
| Florida | 65+ | 3304000 | 3182000 | 2384000 | 2222000 |
| Georgia | 18 to 24 | 920000 | 867000 | 469000 | 349000 |
| Georgia | 25 to 34 | 1308000 | 1148000 | 847000 | 700000 |
| Georgia | 35 to 44 | 1341000 | 1228000 | 825000 | 726000 |
| Georgia | 45 to 64 | 2658000 | 2547000 | 1886000 | 1741000 |
| Georgia | 65+ | 951000 | 948000 | 739000 | 652000 |
| Hawaii | 18 to 24 | 107000 | 91000 | 33000 | 24000 |
| Hawaii | 25 to 34 | 172000 | 154000 | 65000 | 55000 |
| Hawaii | 35 to 44 | 166000 | 153000 | 83000 | 69000 |
| Hawaii | 45 to 64 | 343000 | 317000 | 217000 | 196000 |
| Hawaii | 65+ | 224000 | 215000 | 149000 | 137000 |
| Idaho | 18 to 24 | 130000 | 121000 | 51000 | 39000 |
| Idaho | 25 to 34 | 194000 | 173000 | 114000 | 99000 |
| Idaho | 35 to 44 | 203000 | 187000 | 141000 | 132000 |
| Idaho | 45 to 64 | 401000 | 382000 | 274000 | 250000 |
| Idaho | 65+ | 201000 | 201000 | 164000 | 160000 |
| Illinois | 18 to 24 | 1228000 | 1122000 | 608000 | 396000 |
| Illinois | 25 to 34 | 1707000 | 1480000 | 1020000 | 846000 |
| Illinois | 35 to 44 | 1688000 | 1481000 | 1066000 | 872000 |
| Illinois | 45 to 64 | 3407000 | 3182000 | 2471000 | 2206000 |
| Illinois | 65+ | 1620000 | 1566000 | 1259000 | 1108000 |
| Indiana | 18 to 24 | 570000 | 558000 | 269000 | 203000 |
| Indiana | 25 to 34 | 861000 | 800000 | 462000 | 356000 |
| Indiana | 35 to 44 | 828000 | 801000 | 550000 | 420000 |
| Indiana | 45 to 64 | 1754000 | 1733000 | 1329000 | 1212000 |
| Indiana | 65+ | 840000 | 832000 | 660000 | 610000 |
| Iowa | 18 to 24 | 260000 | 243000 | 150000 | 121000 |
| Iowa | 25 to 34 | 402000 | 379000 | 276000 | 238000 |
| Iowa | 35 to 44 | 385000 | 358000 | 275000 | 238000 |
| Iowa | 45 to 64 | 828000 | 812000 | 652000 | 586000 |
| Iowa | 65+ | 444000 | 440000 | 392000 | 365000 |
| Kansas | 18 to 24 | 294000 | 262000 | 127000 | 88000 |
| Kansas | 25 to 34 | 406000 | 359000 | 236000 | 172000 |
| Kansas | 35 to 44 | 300000 | 269000 | 203000 | 169000 |
| Kansas | 45 to 64 | 757000 | 721000 | 583000 | 535000 |
| Kansas | 65+ | 363000 | 363000 | 318000 | 285000 |
| Kentucky | 18 to 24 | 446000 | 437000 | 225000 | 165000 |
| Kentucky | 25 to 34 | 513000 | 462000 | 320000 | 235000 |
| Kentucky | 35 to 44 | 547000 | 534000 | 411000 | 330000 |
| Kentucky | 45 to 64 | 1173000 | 1152000 | 879000 | 757000 |
| Kentucky | 65+ | 613000 | 608000 | 468000 | 408000 |
| Louisiana | 18 to 24 | 431000 | 415000 | 226000 | 174000 |
| Louisiana | 25 to 34 | 579000 | 552000 | 422000 | 369000 |
| Louisiana | 35 to 44 | 543000 | 526000 | 399000 | 340000 |
| Louisiana | 45 to 64 | 1199000 | 1184000 | 968000 | 846000 |
| Louisiana | 65+ | 568000 | 562000 | 483000 | 420000 |
| Maine | 18 to 24 | 118000 | 118000 | 61000 | 50000 |
| Maine | 25 to 34 | 134000 | 131000 | 93000 | 78000 |
| Maine | 35 to 44 | 157000 | 149000 | 117000 | 101000 |
| Maine | 45 to 64 | 413000 | 407000 | 329000 | 300000 |
| Maine | 65+ | 219000 | 215000 | 187000 | 170000 |
| Maryland | 18 to 24 | 585000 | 558000 | 301000 | 246000 |
| Maryland | 25 to 34 | 777000 | 621000 | 439000 | 393000 |
| Maryland | 35 to 44 | 721000 | 590000 | 434000 | 396000 |
| Maryland | 45 to 64 | 1557000 | 1450000 | 1107000 | 1025000 |
| Maryland | 65+ | 809000 | 787000 | 607000 | 550000 |
| Massachusetts | 18 to 24 | 694000 | 633000 | 395000 | 316000 |
| Massachusetts | 25 to 34 | 810000 | 705000 | 526000 | 450000 |
| Massachusetts | 35 to 44 | 888000 | 783000 | 580000 | 530000 |
| Massachusetts | 45 to 64 | 1784000 | 1677000 | 1424000 | 1327000 |
| Massachusetts | 65+ | 994000 | 975000 | 833000 | 759000 |
| Michigan | 18 to 24 | 905000 | 894000 | 536000 | 394000 |
| Michigan | 25 to 34 | 1182000 | 1107000 | 830000 | 629000 |
| Michigan | 35 to 44 | 1221000 | 1136000 | 900000 | 768000 |
| Michigan | 45 to 64 | 2676000 | 2611000 | 2141000 | 1906000 |
| Michigan | 65+ | 1512000 | 1480000 | 1214000 | 1134000 |
| Minnesota | 18 to 24 | 531000 | 510000 | 329000 | 303000 |
| Minnesota | 25 to 34 | 650000 | 596000 | 435000 | 384000 |
| Minnesota | 35 to 44 | 701000 | 659000 | 518000 | 478000 |
| Minnesota | 45 to 64 | 1410000 | 1387000 | 1151000 | 1081000 |
| Minnesota | 65+ | 762000 | 751000 | 652000 | 613000 |
| Mississippi | 18 to 24 | 300000 | 294000 | 222000 | 187000 |
| Mississippi | 25 to 34 | 397000 | 390000 | 333000 | 279000 |
| Mississippi | 35 to 44 | 320000 | 309000 | 255000 | 222000 |
| Mississippi | 45 to 64 | 734000 | 727000 | 614000 | 563000 |
| Mississippi | 65+ | 416000 | 410000 | 371000 | 337000 |
| Missouri | 18 to 24 | 525000 | 520000 | 332000 | 223000 |
| Missouri | 25 to 34 | 857000 | 809000 | 585000 | 448000 |
| Missouri | 35 to 44 | 669000 | 651000 | 498000 | 427000 |
| Missouri | 45 to 64 | 1714000 | 1684000 | 1344000 | 1175000 |
| Missouri | 65+ | 755000 | 745000 | 624000 | 545000 |
| Montana | 18 to 24 | 82000 | 79000 | 53000 | 33000 |
| Montana | 25 to 34 | 138000 | 137000 | 77000 | 65000 |
| Montana | 35 to 44 | 109000 | 105000 | 69000 | 62000 |
| Montana | 45 to 64 | 254000 | 249000 | 201000 | 189000 |
| Montana | 65+ | 186000 | 184000 | 153000 | 146000 |
| Nebraska | 18 to 24 | 168000 | 151000 | 71000 | 61000 |
| Nebraska | 25 to 34 | 242000 | 224000 | 137000 | 110000 |
| Nebraska | 35 to 44 | 235000 | 218000 | 145000 | 128000 |
| Nebraska | 45 to 64 | 462000 | 445000 | 331000 | 300000 |
| Nebraska | 65+ | 264000 | 259000 | 217000 | 200000 |
| Nevada | 18 to 24 | 320000 | 295000 | 145000 | 122000 |
| Nevada | 25 to 34 | 364000 | 310000 | 189000 | 158000 |
| Nevada | 35 to 44 | 307000 | 247000 | 158000 | 146000 |
| Nevada | 45 to 64 | 680000 | 606000 | 413000 | 376000 |
| Nevada | 65+ | 369000 | 350000 | 270000 | 246000 |
| New Hampshire | 18 to 24 | 123000 | 119000 | 71000 | 61000 |
| New Hampshire | 25 to 34 | 160000 | 147000 | 99000 | 91000 |
| New Hampshire | 35 to 44 | 150000 | 143000 | 100000 | 90000 |
| New Hampshire | 45 to 64 | 425000 | 414000 | 337000 | 312000 |
| New Hampshire | 65+ | 171000 | 169000 | 145000 | 134000 |
| New Jersey | 18 to 24 | 792000 | 707000 | 379000 | 276000 |
| New Jersey | 25 to 34 | 1068000 | 842000 | 556000 | 475000 |
| New Jersey | 35 to 44 | 1186000 | 939000 | 655000 | 536000 |
| New Jersey | 45 to 64 | 2424000 | 2217000 | 1732000 | 1545000 |
| New Jersey | 65+ | 1259000 | 1224000 | 1004000 | 838000 |
| New Mexico | 18 to 24 | 177000 | 163000 | 84000 | 66000 |
| New Mexico | 25 to 34 | 286000 | 248000 | 157000 | 130000 |
| New Mexico | 35 to 44 | 257000 | 224000 | 139000 | 123000 |
| New Mexico | 45 to 64 | 588000 | 551000 | 414000 | 390000 |
| New Mexico | 65+ | 246000 | 240000 | 185000 | 169000 |
| New York | 18 to 24 | 2028000 | 1790000 | 926000 | 710000 |
| New York | 25 to 34 | 2775000 | 2171000 | 1387000 | 1145000 |
| New York | 35 to 44 | 2334000 | 1871000 | 1288000 | 1133000 |
| New York | 45 to 64 | 5217000 | 4706000 | 3381000 | 3046000 |
| New York | 65+ | 2712000 | 2543000 | 1904000 | 1642000 |
| North Carolina | 18 to 24 | 863000 | 779000 | 496000 | 389000 |
| North Carolina | 25 to 34 | 1220000 | 1021000 | 816000 | 676000 |
| North Carolina | 35 to 44 | 1320000 | 1172000 | 919000 | 792000 |
| North Carolina | 45 to 64 | 2470000 | 2373000 | 1925000 | 1710000 |
| North Carolina | 65+ | 1390000 | 1366000 | 1138000 | 1057000 |
| North Dakota | 18 to 24 | 67000 | 66000 | 43000 | 32000 |
| North Dakota | 25 to 34 | 111000 | 106000 | 74000 | 62000 |
| North Dakota | 35 to 44 | 71000 | 69000 | 55000 | 44000 |
| North Dakota | 45 to 64 | 194000 | 190000 | 148000 | 129000 |
| North Dakota | 65+ | 85000 | 84000 | 64000 | 61000 |
| Ohio | 18 to 24 | 1145000 | 1105000 | 629000 | 511000 |
| Ohio | 25 to 34 | 1413000 | 1352000 | 917000 | 772000 |
| Ohio | 35 to 44 | 1340000 | 1274000 | 903000 | 772000 |
| Ohio | 45 to 64 | 3213000 | 3179000 | 2325000 | 2159000 |
| Ohio | 65+ | 1640000 | 1640000 | 1302000 | 1181000 |
| Oklahoma | 18 to 24 | 325000 | 323000 | 130000 | 88000 |
| Oklahoma | 25 to 34 | 567000 | 540000 | 296000 | 184000 |
| Oklahoma | 35 to 44 | 433000 | 418000 | 281000 | 212000 |
| Oklahoma | 45 to 64 | 1001000 | 980000 | 720000 | 602000 |
| Oklahoma | 65+ | 483000 | 473000 | 378000 | 345000 |
| Oregon | 18 to 24 | 391000 | 364000 | 216000 | 186000 |
| Oregon | 25 to 34 | 461000 | 399000 | 256000 | 215000 |
| Oregon | 35 to 44 | 527000 | 479000 | 345000 | 296000 |
| Oregon | 45 to 64 | 1004000 | 961000 | 756000 | 709000 |
| Oregon | 65+ | 616000 | 604000 | 513000 | 491000 |
| Pennsylvania | 18 to 24 | 1198000 | 1137000 | 645000 | 478000 |
| Pennsylvania | 25 to 34 | 1543000 | 1442000 | 984000 | 790000 |
| Pennsylvania | 35 to 44 | 1520000 | 1442000 | 1054000 | 928000 |
| Pennsylvania | 45 to 64 | 3674000 | 3547000 | 2648000 | 2331000 |
| Pennsylvania | 65+ | 1913000 | 1883000 | 1463000 | 1297000 |
| Rhode Island | 18 to 24 | 99000 | 89000 | 61000 | 45000 |
| Rhode Island | 25 to 34 | 121000 | 108000 | 70000 | 58000 |
| Rhode Island | 35 to 44 | 150000 | 127000 | 89000 | 76000 |
| Rhode Island | 45 to 64 | 290000 | 272000 | 213000 | 185000 |
| Rhode Island | 65+ | 158000 | 155000 | 119000 | 105000 |
| South Carolina | 18 to 24 | 474000 | 451000 | 265000 | 243000 |
| South Carolina | 25 to 34 | 510000 | 476000 | 364000 | 293000 |
| South Carolina | 35 to 44 | 601000 | 561000 | 405000 | 343000 |
| South Carolina | 45 to 64 | 1319000 | 1289000 | 956000 | 866000 |
| South Carolina | 65+ | 612000 | 604000 | 489000 | 442000 |
| South Dakota | 18 to 24 | 95000 | 94000 | 52000 | 31000 |
| South Dakota | 25 to 34 | 103000 | 101000 | 65000 | 46000 |
| South Dakota | 35 to 44 | 82000 | 79000 | 64000 | 53000 |
| South Dakota | 45 to 64 | 204000 | 202000 | 167000 | 145000 |
| South Dakota | 65+ | 132000 | 130000 | 106000 | 96000 |
| Tennessee | 18 to 24 | 610000 | 590000 | 306000 | 207000 |
| Tennessee | 25 to 34 | 833000 | 773000 | 517000 | 395000 |
| Tennessee | 35 to 44 | 783000 | 739000 | 514000 | 402000 |
| Tennessee | 45 to 64 | 1607000 | 1563000 | 1081000 | 904000 |
| Tennessee | 65+ | 1016000 | 1013000 | 793000 | 698000 |
| Texas | 18 to 24 | 2538000 | 2249000 | 971000 | 572000 |
| Texas | 25 to 34 | 3695000 | 2965000 | 1734000 | 1228000 |
| Texas | 35 to 44 | 3445000 | 2748000 | 1839000 | 1473000 |
| Texas | 45 to 64 | 6115000 | 5429000 | 3981000 | 3399000 |
| Texas | 65+ | 2849000 | 2671000 | 2225000 | 1971000 |
| Utah | 18 to 24 | 279000 | 263000 | 115000 | 97000 |
| Utah | 25 to 34 | 446000 | 407000 | 236000 | 194000 |
| Utah | 35 to 44 | 357000 | 307000 | 182000 | 161000 |
| Utah | 45 to 64 | 592000 | 576000 | 396000 | 375000 |
| Utah | 65+ | 242000 | 240000 | 208000 | 195000 |
| Vermont | 18 to 24 | 61000 | 59000 | 30000 | 23000 |
| Vermont | 25 to 34 | 69000 | 68000 | 41000 | 30000 |
| Vermont | 35 to 44 | 78000 | 76000 | 53000 | 46000 |
| Vermont | 45 to 64 | 195000 | 193000 | 153000 | 133000 |
| Vermont | 65+ | 93000 | 91000 | 79000 | 75000 |
| Virginia | 18 to 24 | 695000 | 612000 | 351000 | 292000 |
| Virginia | 25 to 34 | 1192000 | 1026000 | 698000 | 605000 |
| Virginia | 35 to 44 | 989000 | 889000 | 717000 | 634000 |
| Virginia | 45 to 64 | 2140000 | 2050000 | 1591000 | 1473000 |
| Virginia | 65+ | 1079000 | 1069000 | 853000 | 774000 |
| Washington | 18 to 24 | 563000 | 511000 | 275000 | 215000 |
| Washington | 25 to 34 | 1017000 | 911000 | 596000 | 488000 |
| Washington | 35 to 44 | 916000 | 809000 | 649000 | 577000 |
| Washington | 45 to 64 | 1660000 | 1570000 | 1183000 | 1101000 |
| Washington | 65+ | 1074000 | 1032000 | 830000 | 791000 |
| West Virginia | 18 to 24 | 163000 | 162000 | 78000 | 37000 |
| West Virginia | 25 to 34 | 213000 | 210000 | 131000 | 66000 |
| West Virginia | 35 to 44 | 237000 | 237000 | 162000 | 111000 |
| West Virginia | 45 to 64 | 479000 | 475000 | 326000 | 253000 |
| West Virginia | 65+ | 361000 | 359000 | 286000 | 222000 |
| Wisconsin | 18 to 24 | 539000 | 513000 | 308000 | 287000 |
| Wisconsin | 25 to 34 | 699000 | 662000 | 475000 | 438000 |
| Wisconsin | 35 to 44 | 714000 | 695000 | 548000 | 514000 |
| Wisconsin | 45 to 64 | 1552000 | 1532000 | 1224000 | 1192000 |
| Wisconsin | 65+ | 847000 | 845000 | 763000 | 697000 |
| Wyoming | 18 to 24 | 56000 | 55000 | 21000 | 18000 |
| Wyoming | 25 to 34 | 73000 | 71000 | 44000 | 39000 |
| Wyoming | 35 to 44 | 68000 | 66000 | 41000 | 36000 |
| Wyoming | 45 to 64 | 155000 | 154000 | 101000 | 95000 |
| Wyoming | 65+ | 74000 | 73000 | 61000 | 59000 |
In: Operations Management
Part I—Prenatal Visit It had been a hectic day for the doctor, and his last patient was on time for her appointment. “Hi. Sis.” “Hi, Jim. How’s my kid brother?” “Tired—how’s the first-time mom? Have you stopped work yet?” “Come on, Jim, I’m a career woman. Te chemical industry needs me. It’s tough to go cold turkey. When Dave and I decided to have a family, we agreed that I should work as long as I could.” “You’re the size of a house, Jen. You’re 37 years old, you have twins that are 28 weeks, and I really would like you to carry them as long as you can.” “Oh, oh, here comes the lecture again. I know you didn’t like the fertility procedure we did, but I just couldn’t get pregnant. Anyway, as you so tactfully pointed out, doctor, I am not getting any younger. Look at it this way; we’re having our family all at once.” Tere was a knock at the door and the nurse entered. “How did the ultrasound go?” “It’s like Times Square,” replied the nurse. “Arms and legs everywhere—it’s almost impossible to see anything, and those kids are so active. I just hope they slow down after they’re born, otherwise you’ll get no rest until they go to college. It’s crazy in there, with two hearts beating. And with yours in the background, it’s tough to isolate one. As best as I can tell, the rates are around 130 to 160 beats a minute.” “OK, well let’s see if the expert can hear anything.” Both women glared at the doctor. “Do you need the crane or can you get up on the table by yourself?” Jen looked at the nurse and said, “Is he like to this to all his patients?” “No comment; I need this job.” Tey laughed and Jim went to work. Moving the head of his stethoscope to different locations, he tried to isolate the sounds from one heart. His expression changed as he listened intently. Jen began to worry as her brother took longer than usual with his stethoscope. “Is everything OK?” she asked. “Anyone Who Had A Heart” by Phil Stephens Page 1 Jim looked concerned. He was reluctant to tell his sister that he thought he had heard a heart murmur. Like his nurse had said, it was difficult to hear just one heart. He didn’t want to alarm his sister, so he made a joke of the situation. “Must be a girl in there, she won’t stop talking. I think she said something about not leaving the hospital in just any outfi t.” Jen went to hit her brother, but he easily evaded the playful smack. “It’s tough to predict when the babies will arrive, so I think you should start coming to see me every week, Jen.” “Is there a problem? You did all of the tests, and you said that I’m not diabetic. Te alpha-fetoprotein levels indicate no neural tube defects, and that horrible amniocentesis procedure showed no birth defects or Rhesus problems.” “It’s OK, Sis. It’s quite normal for women who are close to delivery to visit their OB-GYN every week. It’s tough to predict delivery with multiple births, because they rarely go full term. So, to be on the safe side, let’s get together every week from now on. In that way I can see your lovely smiling face more often.” Jen scowled at her brother. “For once in your life, do what I ask,” Jim said. “And bring Dave with you next time.” A little later, as Jim was finishing his paper work for the day, the nurse returned to his office. “Everything OK with Jen?” “I can’t stop thinking about that vague sound I heard. It sounded like a heart murmur, but it’s so tough to single out with two kids in there.” “I thought I heard it too. Te babies seem active and are about the same size. No history of birth heart defects in either family, but I guess you never know with twins in an older mom.” “My thoughts exactly. I don’t want to worry her because you know how hyper she can be. I guess we’ll need to keep a close eye on her, and on my nephew and niece.” “Does Jen know the sexes?” “She and Dave don’t want to know. Tey want to be surprised.” Questions 1. Draw a diagram of the heart of a human adult. Show the circulation of the blood through the heart and to and from the body and the lungs. 2. Draw a diagram of the heart of a human fetus. Show the circulation of the blood through the heart and to and from the body and the lungs. 3. What are the major structural differences between the fetal and the adult human heart? Draw and label these differences on your diagram of the fetal heart. How do these structures alter the circulation of blood? 4. Why is the pulmonary circulation reduced in the human fetus? 5. Are heart rates of 130 to 160 normal in a human fetus? “Anyone Who Had A Heart” by Phil Stephens Page 2 Part II—The Arrival Te ambulance that carried Jen sped through the crowded streets with its sirens blasting and lights fl ashing. T e traffic parted, and people watched as the vehicle made its way to the hospital. “My water had to break right in the middle of a meeting.” “Don’t worry, Jen. I’m sure they understand.” Her husband, Dave, was trying to comfort her, but then, true to form, he said something wrong. “Anyway, it’ll give them something to talk about around the coff ee machine.” Jen thought how lucky she was that her husband worked in the same office, but she didn’t like the idea of being the topic of office gossip. She was beginning to feel motion sickness from lying on a stretcher in a moving vehicle. Just then the ambulance stopped, its doors opened, and she was being wheeled down a long corridor. Finally, the stretcher turned a corner and she felt Dave leave her side as she entered a delivery room. She felt the sting of a needle in her left hand. Ten she felt Dave’s hand slip into hers and saw his eyes like slits between the cap and the surgical mask he had put on. Jen felt a needle go into her back and almost immediately the lower half of her body felt numb; the epidural had taken effect. She looked up into the mirror and saw the surgeon with a child in his hands. Te noise of first one crying baby and then another filled the room. Jen held the babies and everyone, except Dave and the nurse, left the room. Te babies were passed between the two of them as the nurse performed various tests. “I came as quickly as I could,” Jim said as he entered the room like a hurricane. Jen thought that he had been late for almost everything in his life, but she would forgive him this time. Jim kissed his sister, smiled at his brother-in-law, and then went over to the nurse. Jen and Dave could hear them talking softly. “No problem, doctor.” Jim came over to the new parents. “So, one of each. Any names picked out?” “Brianna and Christopher,” said Jen. “OK, Doc.” Dave smiled because he knew that Jim hated being called Doc. “Why were they blue when they were born?” “Tat’s quite normal, but they should have changed to pink a minute or so after they were born.” “So why does Brianna still have blue finger tips and lips?” asked Jen. “It’s called cyanosis; it’s not uncommon. Don’t worry. One advantage of being related to a doctor is that all three of you will get first-class treatment.” “I hope so, because Chris has pink lips, and he’s breathing at a much slower rate than his sister.”
Questions 1. What vital signs or symptoms do the two babies exhibit?
2 What is cyanosis?
3. Would you be alarmed that Brianna has cyanosis and Christopher does not?
Why? 4. Why would the cyanotic baby have a faster breathing rate?
5. What are the possible diagnoses for Brianna’s condition at this time?
For each diagnosis that you come up with, describe the signs or symptoms that relate to that diagnosis.
In: Biology
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Pick the correcty answer If a mutation that inactivated telomerase occurred in a cell (telomerase activity in the cell = zero), what do you expect the outcome to be? |
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Somatic or body cells have very little telomerase. As a result, the telomeres within these (proliferating) cells _____ with each cell division. |
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A researcher is studying telomerase in four types of mouse cells: brain cells, skin cells, blood cells, and gametes (sperm/eggs). What do you suspect she will find? |
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In: Biology
Calculating Life Insurance
There are three common ways that insurance agents can determine the life insurance requirements of an individual: multiple income approach, human life value approach, or needs analysis.
Multiple Income Approach
The simplest way to calculate life insurance is a multiple of the individual’s income, usually five to seven times one’s income. However, one should consider existing properties and other sources of protection (Social Security, pension plans, savings—all discussed in later chapters) that may be included in the portfolio. A person needs to buy protection only for the uncovered balance. Agents also understand the subjective preferences of families: the desire or need to prefer current consumption over future savings, natural optimism, and so forth. These topics are related to complex economic theories that are not handled in this book.
Human Life Value Approach
This method considers your client’s age, gender, occupation, current and future earnings, and employee benefits. There are several steps to determining the overall value of the client if they were to die today:
The primary goal of this method is to replace income lost. It doesn’t necessarily account for funeral costs, children’s educational expenses, or other specific future needs.
Capital Needs Analysis
The capital needs analysis is the most widely-used approach for estimating life insurance coverage. In addition to replacing the client’s salary, it also accounts for other sources of income and the specific needs of survivors.
This method factors in:
Once all future needs are taken into consideration, there are then two ways to calculate how much insurance the client needs, based on how they want to utilize the funds in the future.
What type of individual or couple would benefit from each of the life insurance calculation alternatives presented above?
In: Accounting
Answer (A) True or (B) False 51. Non-Verbal Communication is used 60% of the time. 52. All Feedback is positive in communication. 53. Noise can be only what you hear. 54. The receiver is always responsible for the message. 55. Upward communication is always good for the staff in a organization. 56. There are 4 basic communication styles. 57. Social media allows users to create and share content. 58. Informal communication needs to be written in order to be impactful. 59. When communication flows along official paths in a organization that is bad. 60. Horizontal messages flow between the Supervisor and the staff below. 61. Ethics only applies to the individual, not to the organization. 62. A span of control means you are responsible for 20 to 100 people in the organization. 63. Division of Labor means who does what. 64. Chain of command means who reports to whom and how communication flows. 65. Traditional organizations are mainly upward, informal and not written. 66. Human relations organization is not concerned with social and psychological needs. 67. Human resources is based on people’s desire for a sense of accomplishment. 68. Systems/Contingency organizations contends there is no single best way. 69. Organizational Culture is defined as the patterns of beliefs and expectations shared. 70. The transformational organization is the oldest in the business world. 71. Mutual adjustment involves horizontal communication 72. Learning groups make a series of decisions to solve a problem. 73. Self-maintenance groups seek to inspire desirable attitudes and understanding. 74. Small-group involves a small number of people in face to face interaction. 75. Groupthink is a method for effective means of making decisions. 76. Listening is cognitive. 77. The “Big Five” personality factors are not considered important in successful teams. 78. Task functions must be performed to maintain interpersonal relationships. 79. Maintenance functions encourage, harmonize, relieve tension and gatekeep. 80. Storytelling, confessing, dominating, blocking is a part of dysfunctional behavior. 81. Leadership style has nothing to do with how you handle yourself and others. 82. Authoritarian leadership make decisions and use one-way communication. 83. Democratic leadership style make decisions without followers. 84. Laissez-faire leadership style engages the team to make work assignments. 85. Transformational leaders transform society with their visions. 86. Virtual teams meet face to face often and are in the same location. 87. Situational leadership style has one direct method for delegation. 88. Communication anxiety is never an obstacle to effective communication. 89. Situational anxiety is perfectly normal. 90. Trait anxiety needs no preparation. 91. Social media has no place in the business community. 92. Email is not important to use in a business, it is only for personal use. 93. Sexual harassment is a form of sex discrimination that violates Civil Rights. 94. The Me 2 movement has not impacted business leaders. 95. Nonverbal communication involves only how you look at a person. 96. Monochronic cultures take a laid back approach to time and consider relationships. 97. Polychronic cultures view time as a scarce resource that can be wasted or saved. 98. Listening is not effective for good leaders. 99. The sender is never responsible for the message. 100. Physical, psychological and physiological noise is never in a presentation.
In: Accounting
User Centric Approach CASE STUDY
Frontier’s challenge was to deploy flexible, branded, high-performance Wi-Fi and networking services to commercial subscribers across more than 30 states— rapidly. To this end, reliable, fast Internet connectivity has become a universal expectation. People assume they can be online at small businesses, public buildings, outdoor spaces and venues ranging from airports to arenas, hotels to branch offices, churches to RV parks, and hundreds of other places. Providing seamless connectivity across the full spectrum of work/play/live applications is a major revenue-generating opportunity for Communication Services Providers and Broadband Operators, but only if they can make complexity disappear and shrink time-to-market exponentially.
In order to eliminate the complexity of building its own managed networking and wireless offerings from the ground up, Frontier Business turned to CommScope for a hosted, white label, comprehensive carrier-grade solution. The CommScope Solution: a world-class solution of ready-to-deploy technology and services CommScope was the best way for Frontier to “deliver more, faster.” Its comprehensive, ready-to-go solution includesindustry-leading technology like powerful Ruckus access points, wireless access controllers, ICX switches firewalls and the CommScope Virtual Managed Edge. CommScope helped simplify the entire process, from design, such as developing heat maps for optimal AP locations and switches, through installation and integration. CommScope also managed the on-boarding process, which involved incorporating hardware gear onto the hosted core, and setting up customized user portals and admin dashboards for advanced analytics and reporting.
To eliminate the burden of dealing with different vendors for each component, CommScope manages and monitors the networking platform. Proactive NOC-to-NOC support ensures optimal uptime. In fact, problems are often resolved before the subscriber is even aware of them. CommScope leveraged its unparalleled track record of enabling service provider success, aligning itself to support Frontier’s business objectives. The result was the creation of an expertly coordinated package of service components and software and hardware, tailored to meet Frontier’s specific service performance and budget requirements.
Frontier is in the process of deploying CommScope managed Wi-Fi and managed networking offerings to new and existing commercial customers in multiple market segments across a footprint spanning 28 states. One important goal for the Telecom Provider is to move beyond business relationships that are based on one-time fees, and focus on “stickier” services with monthly recurring revenue. Frontier now has managed Wi-Fi and networking solutions that bring world-class capabilities and competitive differentiation. With CommScope helping to deepen and expand the product portfolio, the door is now open for Frontier to provide new branded offerings, such as cybersecurity services, at a reduced time-to-market.
Answer the following questions based on the case study
1. Discuss the significance of Human Centred (HC) design concept for the company, Frontier, in terms of complexity reduction and shrink time to market exponentially.
2. Analyse in terms of HC design concept why Frontier approached CommScope for its WiFi and networking services over 30 states.
3. How has Frontier benefitted from CommScope design? Illustrate in light of the human-centred design concept.
In: Computer Science
QUESTION – User Centric Approach CASE STUDY
Frontier’s challenge was to deploy flexible, branded,
high-performance Wi-Fi and networking
services to commercial subscribers across more than 30 states—
rapidly. To this end, reliable,
fast Internet connectivity has become a universal expectation.
People assume they can be
online at small businesses, public buildings, outdoor spaces and
venues ranging from airports
to arenas, hotels to branch offices, churches to RV parks, and
hundreds of other places.
Providing seamless connectivity across the full spectrum of
work/play/live applications is a
major revenue-generating opportunity for Communication Services
Providers and Broadband
Operators, but only if they can make complexity disappear and
shrink time-to-market
exponentially.
In order to eliminate the complexity of building its own managed
networking and wireless
offerings from the ground up, Frontier Business turned to CommScope
for a hosted, white
label, comprehensive carrier-grade solution. The CommScope
Solution: a world-class solution
of ready-to-deploy technology and services CommScope was the best
way for Frontier to
“deliver more, faster.” Its comprehensive, ready-to-go solution
includesindustry-leading
technology like powerful Ruckus access points, wireless access
controllers, ICX switches
firewalls and the CommScope Virtual Managed Edge. CommScope helped
simplify the entire
process, from design, such as developing heat maps for optimal AP
locations and switches,
through installation and integration. CommScope also managed the
on-boarding process,
which involved incorporating hardware gear onto the hosted core,
and setting up customized
user portals and admin dashboards for advanced analytics and
reporting.
To eliminate the burden of dealing with different vendors for each
component, CommScope
manages and monitors the networking platform. Proactive NOC-to-NOC
support ensures
optimal uptime. In fact, problems are often resolved before the
subscriber is even aware of
them. CommScope leveraged its unparalleled track record of enabling
service provider
success, aligning itself to support Frontier’s business objectives.
The result was the creation
of an expertly coordinated package of service components and
software and hardware,
tailored to meet Frontier’s specific service performance and budget
requirements.
Frontier is in the process of deploying CommScope
managed Wi-Fi and managed networking
offerings to new and existing commercial customers in multiple
market segments across a
footprint spanning 28 states. One important goal for the Telecom
Provider is to move beyond
business relationships that are based on one-time fees, and focus
on “stickier” services with
monthly recurring revenue. Frontier now has managed Wi-Fi and
networking solutions that
bring world-class capabilities and competitive differentiation.
With CommScope helping to
deepen and expand the product portfolio, the door is now open for
Frontier to provide new
branded offerings, such as cybersecurity services, at a reduced
time-to-market.
[Adapted form
https://www.commscope.com/globalassets/digizuite/62453-frontier-
managed-networks-cs-113957-en.pdf]
Answer the following questions based on the case study
1. Discuss the significance of Human Centred (HC) design concept
for the company,
Frontier, in terms of complexity reduction and shrink time to
market exponentially.
2. Analyse in terms of HC design concept why Frontier approached
CommScope for its
WiFi and networking services over 30 states.
3. How has Frontier benefitted from CommScope design? Illustrate
in light of the
human-centred design concept.
In: Computer Science
1 According to evolutionary theory, organisms with very similar phenotypes:
a. are always very closely related
b. always have very similar genotypes
c. will evolve under very similar conditions.
d. can have very different genotypes.
e both c and d are correct.
2 Which of the following is NOT supported by scientific evidence?
a. Probability Theory
b. Evolutionary Theory
c. Genetic Theory
d. Cell Theory
e. all of the above ARE scientific theories supported by large amounts of evidence
3. At the beginning of western settlement millions of buffalo lived on the Great Plains. By 1890 only about 750 survived in the entire country. This is an example of:
a. a severe mutation
b. negative gene flow
c. the founder effect
d. a genetic bottleneck.
4. Livestock production in the U.S. today uses nearly 3 times as many antibiotics as are prescribed for all human patients. It is most likely that routine use of antibiotics in animal feed will result in:
a. an effective, long term way to eliminate disease-causing bacteria in the animals and therefore increase food production.
b. the animals developing resistance to the antibiotics.
c. an increased number of antibiotic-resistant bacterial strains.
d. the elimination of viral infections and thus increased food production.
e. ever fewer disease-causing bacteria in the environment.
5. Roaches are a common indoor pest in the south. Why must people routinely change the brand of insecticide (roach killer) they use?
a. The active ingredients in the insecticide break down over time.
b. Antibiotic-resistance genes in roach DNA are transferred to uninfected roaches by contact with infected ones.
c. The direct action of insecticides on roach DNA cause individual roaches to slowly become immune.
d. Some individual roaches in the population may have a mutation providing some natural immunity to the first insecticide and their offspring will begin to predominate.
e Changes in the chemical formulation of insecticides constantly improve their effectiveness.
6. Both Darwin and Wallace were greatly influenced by Thomas Malthus who observed that
a. populations increase geometrically (exponentially).
b. populations increase at the same rate as the food supply.
c. populations remain at their carrying capacity.
d. food supply usually increases faster than the population that depends on it.
7. Examples of adaptive radiation of species would be easiest to find:
a. near nuclear power plants.
b. in isolated regions with many diverse habitats.
c. on mountain tops exposed to higher UV radiation.
d. in moist, humid tropical rainforests.
e. in areas with much human contact.
8. Gene flow is an evolutionary factor associated with:
a. artificial selection
b. random mating
c. increased mutations
d. migration of individuals
e. small populations
9. Evolution occurs in:
a. gametes.
b. somatic cells.
c. individuals.
d. organelles.
e. populations.
10. English moths originally had a normal (bell-curve) distribution phenotypes. What was the result of the smoke and soot from the industrial revolution on those English moths?
a. All phenotypes in the original population were reduced as the population declined.
b. Both extremes of the curve were selected against and the curve became narrow and tall.
c. Heterozygote individuals were weaker and died off.
d. The entire population of moths became darker but retained the bell-shaped curve.
e. The moth population went extinct.
In: Biology
Business and Data Management
Module 3
Case Study One Instructions
Scenario:
You have been hired as a security analyst for Garbo Rheumatology Research Center. This lab is producing cutting edge treatments for rheumatology and similar autoimmune diseases. Despite being cutting edge, this research is not top secret. Funding is provided by government grants and sponsored by a major research university in the area.
While there is not an intense amount of security required, the data being researched does include medical and laboratory data taken from human and animal subjects. This information comes from a small, attached, on-site clinic and several small animal labs on university premise. Currently, accessibility to the facilities employ appropriate physical controls to ensure that only authorized individuals are permitted within the given facilities; via a combination of security badges and pin codes.
Laboratory
The labs are dedicated to research materials. Lab technicians utilize three shared desktops located in the rear of the labs to register their data. They use separate logins and are required to log out after they complete their work. Many of these technicians are Ph.D. candidates or post doctorate students who, also, utilize these computers to correspond with their advisors. Some of these advisors are the researchers who work on projects within the labs, while others are professors on the university’s main campus.
The actual data itself is stored in a server room, which also functions as the office of the systems administrator. Access to this room is available only to the systems administrator and the Primary investigator (PI) of the project. The medical doctors/researchers, who work on site, each have a private office where they review and analyze the research data. Each office is accessible only to the occupant and building maintenance. These researchers deal with patient medical records, student coursework, and research data produced by the lab.
Data held in the database -
Paperwork spread around the office -
Medical Clinic
The medical clinic is permanently staffed with receptionists, office staff, and nurses. The medical doctors/researchers rotate shifts seeing patients and do not have permanent office space in this area. Instead they share desks and computers, while the nurses and office staff have permanent space and computers assigned to them individually. There is a shared workspace at the front desk which is utilized for patient booking, patient sign-in, and processing patient payments. Patients pay for appointments with credit and debit cards.
Data found in the Clinic –
Assignment:
Part of evaluating the security of an organization is understanding the environment which the business operates. It is important not to just identify the data being handled, but, also, to understand what laws and regulations protect the data. This information might force us to handle and protect the data in ways that we would not otherwise have planned to in order to comply with the regulations.
In: Computer Science