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Three of the supergrowth countries are market oriented medicine to stop diarrhea cheap prothiaden 75mg with amex, open medicine venlafaxine buy prothiaden 75mg line, highly competitive capitalist countries medicine bg 75mg prothiaden visa. Hong Kong comes closest to symptoms lymphoma 75 mg prothiaden visa being completely driven by market forces, but its dynamism is also attributable to special circumstances. It still benefits as an intermediary for trade between the Chinese mainland and Taiwan. In this situation, laisser faire worked wonders in achieving efficient resource allocation. In 1997, sovereignty reverted to China, but the nature of economic institutions and policy were not changed. It is a strategically placed city state with a vocation for entrepфt trade, but its growth got a bigger push from government. Its enlightened authoritarian regime pursued a policy of promoting high savings, improvement of education, encouraging exports and the acquisition of foreign technology. It benefited even more than Hong Kong from foreign direct investment (see Table 3­16). As its own manufacturing production grew more sophisticated, and labour costs rose, it became a major capital exporter, supporting partner enterprises in neighbouring countries. The third country which is now a market oriented open capitalist economy is Taiwan. Its industry is characterised by highly competitive small scale firms with easy freedom of entry, and government willingness to let the failures go bankrupt. In the past two decades, as its manufacturing products became more sophisticated and labour costs rose, domestic investment ratios have fallen and there has been a substantial direct investment abroad, particularly in China. The government has maintained very large exchange reserves, as a hedge against its relative political isolation. Economic performance was much better than in the past and the economic structure was transformed. The acceleration was due to a massive increase in inputs of physical and human capital, but there were self­inflicted wounds from the Great Leap Forward and the Cultural Revolution. China grew more slowly than other communist economies and somewhat less than the world average. Since 1978, Chinese performance has been transformed by liberalisation of the economy. The rigid monopoly of foreign trade and the policy of autarkic self­reliance were abandoned after 1978. In response to the greater role for market forces, competition emerged, resource allocation improved, and consumer satisfaction increased. There was a massive increase in interaction with the world economy through trade, inflows of direct investment, a very large increase in opportunities for study and travel abroad, and for foreigners to visit China. At the same time, China was prudent in retaining control over the more volatile types of international capital movement. Total ($ million) 47 856 261 117 96 158 41 005 85 855 20 478 20 070 19 978 544 661 652 1 139 13 231 61 116 81 8 221 10 133 2 164 96 737 75 492 764 746 93 994 66 397 33 804 Per capita ($) 209 183 14 373 1 959 24 600 441 921 333 388 5 24 14 299 3 61 130 114 60 198 217 124 549 116 Country Total ($ million) 875 026 141 772 104 977 34 093 1 155 868 164 093 179 186 228 794 23 871 105 397 164 522 118 926 326 809 264 441 45 466 156 758 30 481 60 783 122 126 4 088 068 Per capita ($) 3 234 4 679 5 598 8 946 3 574 15 448 3 047 2 789 6 443 1 830 10 798 3 021 5 517 4 311 1 254 923 2 061 617 649 692 United States Canada Australia New Zealand Western Offshoots Belgiuma France Germany Ireland Italy Netherlands Spain United Kingdom Other Western Europe Argentina Brazil Chile Mexico Other Latin America World dx. It needs to shut down a large proportion of state industrial enterprises which are a hangover from the Maoist period. They are kept in operation by government subsidy and default on loans which the state banks are constrained to give them. Another major (and related) problem is the large volume of non­performing loans in the banking sector which is largely controlled by the state. The importance of non­performing loans is smaller than in Japan, but the state does not make efficient allocation of the large funds which it captures from savers and the rapidly burgeoning private sector is starved of funds. There has been a substantial liberalisation of the system in the past decade, with a reduced role for government. A major difference from Japan has been the high export orientation of the economy. In the first of these periods it grew more slowly than Japan, in the second more than twice as fast. This was caused by flight of foreign short term capital in the Asian financial crises of that year. But Korea has a history of successful accommodation to external shocks, and in 1999 per capita income bounced up by 9.

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Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex acute treatment prothiaden 75 mg cheap. Primary Cell Culture of Live Neurosurgically Resected Aged Adult Human Brain Cells and Single Cell Transcriptomics treatments effective prothiaden 75mg. Cell-Type-Specific Transcriptome Analysis in the Drosophila Mushroom Body Reveals Memory-Related Changes in Gene Expression treatment 7th march purchase prothiaden 75mg online. Chromatin immunoprecipitation and gene expression analysis of neuronal subtypes after fluorescence activated cell sorting medications vertigo purchase 75 mg prothiaden overnight delivery. Fixed single-cell transcriptomic characterization of human radial glial diversity. An overview of recent publications featuring Illumina tecnology 33 Drug Discovery Modern drug discovery involves the identification of novel drug targets that are highly relevant to a disease process, followed by the development of highly specific, target-based therapeutic interventions. In a given tissue, cells may express up to 400 druggable genes, suggesting a relative abundance of drug targets. Single-cell sequencing approaches show great promise in discovering and characterizing drug targets, and in improving pharmaceutical screens. Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance. Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing. Single cell genomics of bacterial pathogens: outlook for infectious disease research. Peanut oral immunotherapy transiently expands circulating Ara h 2-specific B cells with a homologous repertoire in unrelated subjects. Single B-cell deconvolution of peanut-specific antibody responses in allergic patients. Diversity, cellular origin and autoreactivity of antibodysecreting cell population expansions in acute systemic lupus erythematosus. Intersection of diverse neuronal genomes and neuropsychiatric disease: the Brain Somatic Mosaicism Network. Sequencing the functional antibody repertoire-diagnostic and therapeutic discovery. Its incidence increases with age, with approximately 6% of people age 65 and older affected by the disease. The data revealed a novel microglial cell that was associated with neurodegenerative disease. Consequently, understanding the mechanisms of drug resistance is an active area of research. Moreover, drug-exposed resistant cells showed increased expression of many of the resistance marker genes. Overall, these data suggest a novel mechanism for drug resistance in single tumor cells. Highly variable cancer subpopulations that exhibit enhanced transcriptome variability and metastatic fitness. They isolated isogenic clonal cancer cells displaying high morphological variation. These highly variable subpopulations displayed increased survival and metastatic potential in response to numerous anticancer drugs. Finally, they correlated high variability in expression of the spliceosome-machinery genes with transcriptomic variability and promotion of metastasis. These data demonstrate a novel aspect of intraclonal tumor heterogeneity, and further suggest a mechanism for increased drug resistance, survival, and metastasis. Single-Cell Phosphoproteomics Resolves Adaptive Signaling Dynamics and Informs Targeted Combination Therapy in Glioblastoma. Glioblastoma tumors have mutations in several druggable pathways, but current targeted therapies have proven ineffective due to rapid and universal drug resistance. Although Th17 cells display extensive cellular heterogeneity, the genetic basis of this heterogeneity is not well characterized.

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Rosenblat (1945) made a careful survey of literary evidence medicine 8 capital rocka purchase 75 mg prothiaden free shipping, and estimated the pre­conquest population to medications 101 buy generic prothiaden 75 mg on-line have been 4 94 medications that can cause glaucoma buy 75mg prothiaden fast delivery. There are two reasons for scepticism about the Borah estimates for Mexico and Latin America as a whole: a) they assume very much higher disease mortality than European experience with the Black Death; b) they assume that population did not recover its alleged pre­conquest levels until the twentieth century medications via g tube buy generic prothiaden 75mg line. There is a discussion of the subsequent literature and rationale for the estimates I adopted in Maddison (2001), pp. The income level for each group was assumed to be stable, but the average for the two combined was lower in earlier years when the non­ indigenous proportion was smaller - see Maddison (2001), p. Eisner (1961), Jamaica, 1830­1930: A Study in Economic Growth, Manchester University Press, and the work of David Eltis and others on earlier development, see Eltis, "The Total Product of Barbados, 1664­1701", Journal of Economic History, (June 1995) and, "The Slave Economies of the Caribbean, Performance, Evolution and Significance", in F. Sources for 1820­2001 Core Countries (Argentina, Brazil, Chile, Colombia, Mexico, Peru, Uruguay and Venezuela) Population: 1820­1949 generally as in Maddison (1995), p. Hofman, the Economic Development of Latin America in the Twentieth Century, Elgar, Cheltenham, 2000, pp. Cuba and Puerto Rico from Shepherd and Beckles, eds, (2000) Caribbean Slavery in the Atlantic World, Wiener, Princeton, pp. Jamaica, Trinidad and Tobago from Higman (1984), Slave Populations of the British Caribbean, 1807­1834, Johns Hopkins University Press, Baltimore, p. Annual figures for 1871­1912 for thirteen countries are interpolations of estimates for benchmark years in Sanchez Albornoz (1986). Annual estimates 1920­49 from Bulmer­Thomas (1987) the Political Economy of Central America since 1920, C. Brundenius (1984), Revolutionary Cuba: the Challenge of Economic Growth with Equity, Westview Press, Boulder and London p. Perez Lopez (1987), Measuring Cuban Economic Performance, University of Texas Press, Austin, p. Where these estimates overlap with those of Perez Lopez (for 1975­82) they show a growth rate twice as fast. I used these official estimates for 1982­90, but scaled down the year­to­year growth by a coefficient of the differential between them and those of Perez Lopez for the overlap years. Higman (1997), "The demographic situation of the Caribbean slave societies in the eighteenth and nineteenth centuries", in F. Vincent Suriname Total A (9 countries) Antigua & Barbuda Bermuda Guadeloupe Guyana (Fr. The 8 countries in the third group are Anguilla, Aruba, Cayman Islands, Montserrat, St. Pierre and Miquelon, Turks and Caicos Islands, Virgin Islands, and British Virgin Islands. Population of 8 Latin American Countries, 1820-1913 (000s at mid-year) Argentina 1820 1850 1870 1871 1872 1873 1874 1875 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890 1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 534 1 100 1 796 Brazil 4 507 7 234 9 797 9 980 10 167 10 358 10 552 10 749 10 951 11 156 11 365 11 578 11 794 12 015 12 240 12 470 12 703 12 941 13 183 13 430 13 682 13 938 14 199 14 539 14 886 15 242 15 607 15 980 16 362 16 753 17 154 17 564 17 984 18 392 18 782 19 180 19 587 20 003 20 427 20 860 21 303 21 754 22 216 22 687 23 168 23 660 Chile 885 1 443 1 943 Colombia 1 206 2 065 2 392 Mexico 6 587 7 662 9 219 9 331 9 444 9 558 9 674 9 791 9 910 10 030 10 151 10 274 10 399 10 524 10 652 10 781 10 912 11 044 11 178 11 313 11 450 11 589 11 729 11 904 12 083 12 263 12 447 12 663 12 822 13 014 13 209 13 406 13 607 13 755 13 904 14 055 14 208 14 363 14 519 14 676 14 836 14 997 15 000 14 990 14 980 14 970 Peru 1 317 2 001 2 606 Uruguay Venezuela 55 132 343 354 364 376 387 399 411 424 437 450 464 482 502 522 543 564 587 610 635 660 686 706 727 748 770 792 815 839 864 889 915 930 945 961 977 993 1 009 1 026 1 043 1 062 1 081 1 112 1 144 1 177 718 1 324 1 653 1 675 1 699 1 725 1 753 1 784 1 816 1 849 1 883 1 917 1 952 1 986 2 019 2 052 2 083 2 113 2 129 2 147 2 173 2 198 2 224 2 255 2 285 2 314 2 346 2 375 2 408 2 442 2 475 2 509 2 542 2 576 2 609 2 643 2 690 2 706 2 720 2 741 2 761 2 780 2 805 2 834 2 856 2 874 Total 15 809 22 961 29 749 3 376 2 651 3 369 3 346 41 580 4 693 4 873 5 060 5 254 5 455 5 664 5 881 6 107 6 341 6 584 6 836 7 098 7 370 7 653 2 974 3 011 3 048 3 086 3 124 3 163 3 202 3 242 3 282 3 323 3 364 3 406 3 448 3 491 3 998 4 079 4 162 4 247 4 334 4 422 4 512 4 604 4 697 4 793 4 890 4 990 5 091 5 195 3 791 3 831 3 871 3 911 3 952 3 993 4 035 4 077 4 119 4 162 4 206 4 250 4 294 4 339 50 504 51 447 52 381 53 337 54 327 55 307 56 305 57 333 58 382 59 455 60 398 61 367 62 351 63 359 dx. Population of 8 Latin American Countries, 1914-1949 (000s at mid-year) Argentina 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 7 885 8 072 8 226 8 374 8 518 8 672 8 861 9 092 9 368 9 707 10 054 10 358 10 652 10 965 11 282 11 592 11 896 12 167 12 402 12 623 12 834 13 044 13 260 13 490 13 724 13 984 14 169 14 402 14 638 14 877 15 130 15 390 15 654 15 942 16 307 16 737 Brazil 24 161 24 674 25 197 25 732 26 277 26 835 27 404 27 969 28 542 29 126 29 723 30 332 30 953 31 587 32 234 32 894 33 568 34 256 34 957 35 673 36 404 37 150 37 911 38 687 39 480 40 289 41 114 42 069 43 069 44 093 45 141 46 215 47 313 48 438 49 590 50 769 Chile 3 537 3 584 3 631 3 679 3 728 3 777 3 827 3 877 3 928 3 980 4 033 4 086 4 140 4 195 4 250 4 306 4 370 4 434 4 500 4 567 4 634 4 703 4 773 4 843 4 915 5 003 5 093 5 184 5 277 5 371 5 467 5 565 5 665 5 767 5 870 5 975 Colombia 5 330 5 468 5 609 5 754 5 903 6 056 6 213 6 374 6 539 6 709 6 882 7 061 7 243 7 431 7 624 7 821 7 914 8 009 8 104 8 201 8 299 8 398 8 498 8 599 8 702 8 935 9 174 9 419 9 671 9 930 10 196 10 469 10 749 11 036 11 332 11 635 Mexico 14 960 14 950 14 940 14 930 14 920 14 910 14 900 14 895 15 129 15 367 15 609 15 854 16 103 16 356 16 613 16 875 17 175 17 480 17 790 18 115 18 445 18 781 19 040 19 370 19 705 20 047 20 393 20 955 21 532 22 125 22 734 23 724 24 413 25 122 25 852 26 603 Peru 4 384 4 430 4 477 4 523 4 571 4 619 4 667 4 730 4 793 4 859 4 927 4 996 5 067 5 141 5 216 5 294 5 374 5 456 5 540 5 626 5 715 5 806 5 899 5 995 6 093 6 194 6 298 6 415 6 537 6 661 6 787 6 919 7 053 7 192 7 335 7 480 Uruguay 1 223 1 246 1 269 1 292 1 316 1 341 1 371 1 402 1 433 1 465 1 498 1 534 1 571 1 608 1 646 1 685 1 713 1 741 1 770 1 799 1 829 1 859 1 889 1 921 1 952 1 944 1 965 1 987 2 010 2 032 2 055 2 081 2 107 2 134 2 160 2 188 Venezuela 2 899 2 918 2 929 2 944 2 958 2 973 2 992 3 008 3 025 3 049 3 077 3 114 3 152 3 185 3 221 3 259 3 300 3 336 3 368 3 401 3 431 3 465 3 510 3 565 3 623 3 699 3 784 3 858 3 934 4 020 4 114 4 223 4 347 4 486 4 656 4 843 Total 64 379 65 342 66 278 67 228 68 191 69 183 70 235 71 347 72 757 74 262 75 803 77 335 78 881 80 468 82 086 83 726 85 310 86 879 88 431 90 005 91 591 93 206 94 780 96 470 98 194 100 095 101 990 104 289 106 668 109 109 111 624 114 586 117 301 120 117 123 102 126 230 dx. Population of 8 Latin American Countries, 1950-2003 (000s at mid-year) Argentina 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 17 17 17 18 18 18 19 19 19 20 20 20 21 21 21 22 22 22 23 23 23 24 24 25 25 26 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 33 34 34 35 35 36 36 37 37 37 38 38 150 517 877 231 581 928 272 611 947 281 616 951 284 616 949 283 612 934 261 600 962 364 780 210 646 082 531 984 440 902 370 863 341 802 236 675 146 621 091 559 022 492 959 412 864 311 754 203 644 074 498 917 331 741 Brazil 53 54 56 58 59 61 63 65 67 69 71 73 76 78 80 83 85 88 90 93 95 98 100 103 106 108 111 114 117 120 122 125 128 131 134 137 140 142 145 148 151 153 155 158 160 163 166 168 170 173 175 177 179 182 443 996 603 266 989 774 632 551 533 580 695 833 039 317 667 093 557 050 569 114 684 245 840 469 131 824 545 314 147 040 958 930 963 892 626 303 112 938 782 567 084 512 976 471 994 543 074 547 956 294 553 753 914 033 Chile 6 6 6 6 6 6 6 7 7 7 7 7 7 8 8 8 8 8 9 9 9 9 9 9 10 10 10 10 10 10 11 11 11 11 11 12 12 12 12 12 13 13 13 13 14 14 14 14 14 14 15 15 15 15 091 252 378 493 612 743 889 048 220 400 585 773 961 147 330 510 686 859 030 199 369 540 718 897 077 252 432 600 760 923 094 282 487 687 879 067 260 463 678 901 128 353 573 788 000 205 404 599 789 974 154 328 499 665 Colombia 11 592 11 965 12 351 12 750 13 162 13 588 14 029 14 486 14 958 15 447 15 953 16 476 17 010 17 546 18 090 18 646 19 202 19 764 20 322 20 869 21 430 21 993 22 543 23 069 23 593 24 114 24 620 25 094 25 543 26 031 26 583 27 159 27 765 28 389 29 028 29 678 30 327 30 964 31 589 32 217 32 859 33 519 34 203 34 897 35 589 36 281 36 971 37 658 38 340 39 016 39 686 40 349 41 008 41 662 Mexico 28 29 30 31 31 32 33 35 36 37 38 39 41 42 43 45 46 47 49 51 52 54 56 57 59 60 62 63 65 67 68 70 71 73 74 76 78 79 81 82 84 86 87 89 90 92 94 95 97 98 100 101 103 104 485 296 144 031 959 930 946 016 142 328 579 836 121 434 775 142 538 996 519 111 775 434 040 643 240 828 404 981 554 123 686 321 910 435 945 475 035 623 231 840 446 055 667 280 888 488 080 667 245 807 350 879 400 908 Peru 7 7 8 8 8 8 8 9 9 9 9 10 10 10 11 11 11 12 12 12 13 13 13 14 14 15 15 15 16 16 17 17 18 18 19 19 20 20 21 21 21 22 23 23 24 24 25 25 26 26 27 27 27 28 633 826 026 232 447 672 905 146 397 658 931 218 517 826 144 467 796 132 476 829 193 568 955 350 753 161 573 990 414 849 295 755 234 706 171 624 073 531 000 487 989 501 015 531 047 556 058 556 049 535 013 484 950 410 Uruguay Venezuela 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 194 223 253 284 317 353 389 425 460 495 531 564 598 632 664 693 721 749 777 802 824 826 830 834 838 842 857 874 889 905 920 936 954 973 990 008 027 045 064 084 106 128 149 171 193 215 237 260 284 309 334 360 387 413 5 009 5 217 5 440 5 674 5 919 6 170 6 431 6 703 6 982 7 268 7 556 7 848 8 143 8 444 8 752 9 068 9 387 9 710 10 041 10 389 10 758 11 152 11 516 11 893 12 281 12 675 13 082 13 504 13 931 14 355 14 768 15 166 15 621 16 084 16 545 16 998 17 450 17 910 18 379 18 851 19 325 19 801 20 266 20 704 21 135 21 556 21 969 22 374 22 773 23 162 23 543 23 917 24 288 24 655 Total 131 135 139 142 146 151 155 159 164 169 174 179 184 189 195 200 206 212 217 223 229 236 242 248 254 260 267 273 279 286 292 299 306 312 319 325 332 339 345 352 358 365 371 378 384 391 397 403 410 416 422 427 433 439 597 292 070 961 985 158 493 985 639 457 446 498 674 963 370 903 499 193 994 913 994 122 220 365 559 777 046 340 678 128 673 412 275 968 420 828 430 095 813 505 959 358 808 255 711 155 547 865 079 170 131 987 777 487 dx. Population of 15 Latin American Countries, 1820-1949 (000s at mid-year) Bolivia Costa Rica Cuba Dominican Republic 89 146 242 515 530 546 562 578 595 613 631 649 668 688 708 729 750 767 785 803 821 840 859 879 912 946 981 1 017 1 054 1 092 1 131 1 172 1 213 1 256 1 300 1 345 1 391 1 438 1 484 1 520 1 558 1 596 1 634 1 674 1 715 1 757 1 800 1 844 1 889 1 935 1 982 2 031 2 080 Ecuador El Salvador Guatemala Haiti 1820 1850 1870 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1 100 1 374 1 495 1 696 1 710 1 723 1 737 1 751 1 765 1 779 1 793 1 808 1 822 1 837 1 851 1 866 1 881 1 915 1 951 1 986 2 023 2 060 2 098 2 136 2 161 2 186 2 212 2 237 2 263 2 289 2 316 2 343 2 370 2 397 2 425 2 453 2 482 2 511 2 540 2 569 2 599 2 629 2 659 2 690 2 721 2 753 2 785 2 817 2 850 2 883 2 916 2 950 2 984 63 101 137 297 310 320 320 330 340 340 350 350 360 363 366 369 372 390 390 400 400 410 420 420 430 430 440 450 460 470 470 480 490 500 510 520 530 540 550 560 580 590 610 620 630 650 660 680 700 710 730 750 770 605 1 186 1 331 1 658 1 716 1 775 1 837 1 879 1 927 1 979 2 034 2 092 2 154 2 219 2 287 2 358 2 431 2 507 2 585 2 664 2 746 2 828 2 912 2 997 3 083 3 170 3 257 3 345 3 432 3 519 3 606 3 693 3 742 3 837 3 910 3 984 4 060 4 137 4 221 4 289 4 357 4 428 4 497 4 566 4 635 4 704 4 779 4 849 4 932 5 039 5 152 5 268 5 386 500 816 1 013 1 400 1 420 1 441 1 462 1 483 1 505 1 527 1 549 1 571 1 594 1 617 1 641 1 665 1 689 1 703 1 717 1 731 1 746 1 760 1 774 1 790 1 805 1 820 1 835 1 850 1 865 1 881 1 896 1 912 1 928 1 944 1 995 2 050 2 095 2 140 2 196 2 249 2 298 2 355 2 412 2 466 2 541 2 575 2 641 2 712 2 781 2 853 2 936 3 017 3 104 248 366 492 766 782 799 816 834 851 869 888 907 926 946 966 987 1 008 1 030 1 052 1 074 1 098 1 121 1 145 1 170 1 190 1 220 1 240 1 270 1 300 1 330 1 350 1 390 1 410 1 440 1 460 1 470 1 490 1 510 1 530 1 550 1 570 1 590 1 610 1 630 1 650 1 680 1 690 1 720 1 740 1 760 1 780 1 810 1 840 595 850 1 080 1 300 1 313 1 327 1 341 1 355 1 369 1 383 1 397 1 412 1 426 1 441 1 456 1 470 1 486 1 501 1 517 1 533 1 549 1 565 1 581 1 597 1 614 1 631 1 648 1 665 1 682 1 699 1 717 1 735 1 753 1 771 1 810 1 860 1 910 1 940 1 980 2 020 2 070 2 110 2 150 2 200 2 250 2 300 2 340 2 390 2 440 2 500 2 570 2 640 2 720 723 938 1 150 1 560 1 583 1 607 1 631 1 655 1 680 1 705 1 730 1 756 1 782 1 809 1 836 1 863 1 891 1 923 1 955 1 988 2 021 2 055 2 089 2 124 2 152 2 181 2 209 2 239 2 268 2 298 2 328 2 359 2 390 2 422 2 453 2 485 2 517 2 549 2 582 2 615 2 648 2 682 2 716 2 751 2 786 2 820 2 856 2 892 2 928 2 961 2 994 3 028 3 062 dx. Population of 15 Latin American Countries, 1820-1949 (000s at mid-year) Honduras Jamaica Nicaragua Panama Paraguay Puerto Rico Trinidad and Tobago 60 80 124 268 274 279 285 291 298 304 310 317 324 331 338 345 352 357 362 367 373 378 383 389 367 371 376 379 382 385 388 392 398 405 412 417 422 428 435 442 450 458 466 476 492 510 525 536 547 561 583 600 616 Total 1820 1850 1870 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 135 350 404 500 511 522 533 545 556 568 581 593 606 619 632 646 660 668 677 685 694 702 711 720 740 770 800 820 850 880 890 910 930 950 970 990 1 010 1 020 1 040 1 060 1 080 1 100 1 120 1 150 1 170 1 200 1 210 1 240 1 260 1 290 1 320 1 350 1 390 401 399 499 720 728 737 745 754 763 772 781 790 799 808 818 827 837 840 842 845 847 850 852 855 860 879 891 900 910 930 946 966 985 1 009 1 039 1 061 1 082 1 098 1 113 1 130 1 142 1 163 1 191 1 212 1 230 1 254 1 249 1 259 1 266 1 298 1 327 1 350 1 374 186 300 337 478 485 492 499 507 514 522 529 537 545 553 561 570 578 580 595 604 613 622 631 640 640 650 650 660 660 670 670 670 680 680 690 690 700 710 730 750 770 780 810 830 840 860 880 900 920 950 980 1 000 1 030 ­ 135 176 263 269 275 281 287 293 299 306 312 319 326 333 341 348 365 383 402 422 442 464 487 489 491 493 495 497 499 502 504 506 515 527 543 559 576 592 608 623 640 656 697 720 773 795 784 791 788 804 822 838 143 350 384 440 450 461 472 483 494 505 517 529 542 554 567 580 594 608 622 637 652 667 683 699 715 732 749 767 785 803 822 841 860 880 901 922 944 966 988 1 012 1 036 1 061 1 086 1 111 1 137 1 164 1 191 1 219 1 247 1 275 1 305 1 335 1 366 248 495 645 959 974 990 1 006 1 022 1 039 1 056 1 073 1 090 1 108 1 126 1 144 1 162 1 181 1 199 1 217 1 235 1 254 1 273 1 292 1 312 1 336 1 359 1 383 1 407 1 431 1 455 1 478 1 502 1 526 1 552 1 584 1 615 1 647 1 679 1 710 1 743 1 777 1 810 1 844 1 880 1 935 1 987 2 033 2 062 2 099 2 141 2 162 2 187 2 197 5 096 7 886 9 509 12 820 13 055 13 294 13 527 13 754 13 989 14 221 14 469 14 713 14 975 15 237 15 504 15 778 16 058 16 353 16 650 16 954 17 259 17 573 17 894 18 215 18 494 18 836 19 164 19 501 19 839 20 200 20 510 20 869 21 181 21 558 21 986 22 405 22 839 23 242 23 691 24 117 24 558 24 992 25 461 25 953 26 452 26 987 27 434 27 904 28 390 28 944 29 541 30 138 30 757 dx. Population of 15 Latin American Countries, Annual Estimates, 1950-2003 (000s at mid-year) Bolivia Costa Rica Cuba Dominican Republic 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 8 8 8 8 8 8 353 419 491 569 651 737 828 923 023 126 231 341 453 569 687 806 926 049 173 298 423 547 671 796 922 048 176 303 431 562 697 832 968 105 241 378 516 655 796 937 076 213 347 472 595 722 851 979 105 230 354 475 596 716 Ecuador El Salvador Guatemala Haiti 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 7 7 7 7 7 7 8 8 8 8 8 766 824 883 945 009 074 142 212 284 358 434 513 594 678 764 853 945 041 139 241 346 455 566 680 796 914 956 080 205 327 441 545 642 737 834 935 041 156 283 423 574 731 893 055 217 377 536 693 849 002 153 300 445 586 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 867 895 926 959 994 032 072 112 154 200 248 297 345 393 440 488 538 589 638 687 736 786 835 886 937 992 049 108 192 260 299 357 424 494 568 644 723 800 875 951 027 101 173 244 315 384 452 518 583 647 711 773 835 896 5 5 6 6 6 6 6 6 6 6 7 7 7 7 7 7 7 8 8 8 8 8 8 9 9 9 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 10 10 11 11 11 11 11 11 11 785 892 008 129 254 381 513 641 763 901 027 134 254 415 612 810 985 139 284 421 543 670 831 001 153 290 421 538 634 710 653 712 789 886 982 079 162 240 334 439 545 643 724 789 846 900 952 003 051 098 142 184 224 263 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 5 5 5 5 5 5 6 6 6 6 6 7 7 7 7 7 8 8 8 8 9 9 9 9 10 10 10 10 11 11 11 11 12 12 12 12 13 13 13 370 458 549 643 740 842 949 058 172 291 416 546 682 822 968 118 273 432 597 766 939 117 299 485 676 872 073 279 489 704 920 141 366 593 826 062 301 545 794 048 317 566 819 077 337 599 862 126 391 656 920 184 447 710 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 6 6 6 6 6 940 990 043 099 159 221 287 356 428 503 582 665 748 836 924 018 128 233 347 469 604 710 791 878 972 071 175 283 396 508 566 515 475 521 588 664 751 842 930 016 100 186 275 370 467 568 674 783 895 008 123 238 354 470 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 5 5 5 5 5 5 6 6 6 6 7 7 7 7 7 8 8 8 8 9 9 9 9 10 10 10 11 11 11 12 12 12 13 13 13 969 056 146 239 335 434 536 641 749 861 976 091 209 330 454 582 713 849 989 135 289 454 625 803 988 180 378 583 795 012 235 489 714 904 124 358 601 856 118 384 654 931 216 510 814 127 449 781 121 467 820 179 542 909 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 6 7 7 7 7 7 097 148 201 257 316 376 441 508 577 648 723 800 880 964 050 137 227 318 412 507 605 653 701 748 795 839 882 925 970 017 056 091 149 248 355 469 588 710 833 955 075 174 272 388 500 614 727 837 952 066 177 288 405 528 dx. Population of 15 Latin American Countries, 1950-2003 (000s at mid-year) Honduras Jamaica Nicaragua Panama Paraguay Puerto Rico Trinidad and Tobago 632 649 663 678 698 721 743 765 789 817 841 861 887 904 924 939 953 960 963 963 955 962 975 985 995 007 021 039 056 073 091 102 116 133 150 166 180 191 198 200 198 193 184 175 167 160 151 141 136 131 125 118 112 104 Total 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 6 6 6 6 6 431 474 517 562 611 662 715 770 829 889 952 017 082 151 224 299 375 453 534 618 683 767 864 964 066 152 240 331 431 528 635 756 861 963 072 186 301 417 505 634 757 878 009 148 293 443 594 747 902 044 201 358 514 670 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 385 406 426 446 468 489 510 535 566 599 632 648 665 698 739 777 820 861 893 920 944 967 998 036 071 105 133 157 179 207 229 258 298 323 347 371 394 413 428 444 463 485 505 525 547 569 589 608 624 639 653 666 680 696 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 5 5 098 131 166 202 239 277 317 359 402 446 493 541 591 642 695 750 807 865 926 988 053 120 183 247 320 394 473 554 608 688 804 900 978 047 119 188 258 334 415 502 643 817 947 055 164 274 384 493 600 706 813 918 024 129 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 893 916 940 962 985 011 037 064 085 115 148 181 216 251 288 326 365 405 447 489 531 573 616 659 706 748 790 840 873 915 956 996 036 077 120 164 208 252 297 342 388 434 480 524 568 615 663 705 745 792 836 879 920 961 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 6 476 515 556 597 640 683 727 771 816 862 910 959 010 062 115 170 228 288 349 412 477 545 614 692 773 850 919 984 051 119 193 276 366 463 564 668 776 887 000 117 236 359 484 612 744 878 015 154 296 440 586 734 884 037 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 218 235 227 204 214 250 249 260 299 322 358 403 448 497 552 597 627 649 674 722 722 766 847 863 887 935 026 081 118 168 210 239 279 316 350 382 413 444 475 506 537 562 585 615 649 683 725 759 781 800 816 840 863 886 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 32 33 33 34 35 36 37 37 38 39 40 41 43 44 45 46 47 49 50 51 52 54 55 56 58 59 60 62 63 64 65 67 68 69 71 72 74 75 77 78 80 82 83 85 87 88 90 92 94 95 97 99 100 102 279 008 743 492 311 192 064 974 935 939 969 997 064 213 437 671 912 132 365 636 849 091 416 725 057 399 711 085 430 799 986 210 463 811 239 713 216 743 282 898 591 272 915 560 222 912 623 328 032 727 428 135 846 561 dx. Population of 47 Latin American Countries, 1820-1949 (000s at mid-year) Total 8 core countries 1820 1850 1870 1890 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935 1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 15 809 22 961 29 749 41 580 50 504 51 447 52 381 53 337 54 327 55 307 56 305 57 333 58 382 59 455 60 398 61 367 62 351 63 359 64 379 65 342 66 278 67 228 68 191 69 183 70 235 71 347 72 757 74 262 75 803 77 335 78 881 80 468 82 086 83 726 85 310 86 879 88 431 90 005 91 591 93 206 94 780 96 470 98 194 100 095 101 990 104 289 106 668 109 109 111 624 114 586 117 301 120 117 123 102 126 230 Total 15 countries 5 096 7 886 9 509 10 859 12 820 13 055 13 294 13 527 13 754 13 989 14 221 14 469 14 713 14 975 15 237 15 504 15 778 16 058 16 353 16 650 16 954 17 259 17 573 17 894 18 215 18 494 18 836 19 164 19 501 19 839 20 200 20 510 20 869 21 181 21 558 21 986 22 405 22 839 23 242 23 691 24 117 24 558 24 992 25 461 25 953 26 452 26 987 27 434 27 904 28 390 28 944 29 541 30 138 30 757 Total 24 small Caribbean countries 800 946 1 141 1 383 1 440 1 446 1 452 1 458 1 464 1 470 1 475 1 481 1 488 1 494 1 500 1 506 1 512 1 518 1 531 1 543 1 556 1 569 1 582 1 596 1 609 1 622 1 635 1 649 1 663 1 677 1 690 1 705 1 719 1 733 1 747 1 762 1 777 1 791 1 806 1 821 1 836 1 852 1 867 1 883 1 898 1 914 1 930 1 946 1 962 1 978 1 995 2 011 2 028 2 045 Total 47 countries 21 705 31 793 40 399 53 822 64 764 65 948 67 127 68 322 69 545 70 766 72 001 73 283 74 583 75 924 77 135 78 377 79 641 80 935 82 263 83 535 84 788 86 056 87 346 88 673 90 059 91 463 93 228 95 075 96 967 98 851 100 771 102 683 104 674 106 640 108 615 110 627 112 613 114 635 116 639 118 718 120 733 122 880 125 053 127 439 129 841 132 655 135 585 138 489 141 490 144 954 148 240 151 669 155 268 159 032 dx. Population of 47 Latin American Countries, 1950-2003 (000s at mid-year) Total 8 core countries 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 131 135 139 142 146 151 155 159 164 169 174 179 184 189 195 200 206 212 217 223 229 236 242 248 254 260 267 273 279 286 292 299 306 312 319 325 332 339 345 352 358 365 371 378 384 391 397 403 410 416 422 427 433 439 597 292 070 961 985 158 493 985 639 457 446 498 674 963 370 903 499 193 994 913 994 122 220 365 559 777 046 340 678 128 673 412 275 968 420 828 430 095 813 505 959 358 808 255 711 155 547 865 079 170 129 987 777 487 Total 15 countries 32 33 33 34 35 36 37 37 38 39 40 41 43 44 45 46 47 49 50 51 52 54 55 56 58 59 60 62 63 64 65 67 68 69 71 72 74 75 77 78 80 82 83 85 87 88 90 92 94 95 97 99 100 102 279 008 743 492 311 192 064 974 935 939 969 997 064 213 437 671 912 132 365 636 849 091 416 725 057 399 711 085 430 799 986 210 463 811 239 713 216 743 282 898 591 272 915 560 222 912 623 328 032 727 428 135 846 561 Total 24 small Caribbean countries 2 062 2 111 2 161 2 211 2 267 2 323 2 378 2 435 2 494 2 555 2 614 2 662 2 711 2 781 2 841 2 900 2 959 3 014 3 071 3 121 3 164 3 215 3 264 3 308 3 341 3 348 3 351 3 366 3 385 3 399 3 410 3 435 3 466 3 499 3 534 3 569 3 602 3 632 3 663 3 694 3 727 3 757 3 790 3 824 3 857 3 890 3 923 3 956 3 983 4 019 4 055 4 091 4 128 4 164 Total 47 countries 165 938 170 411 174 975 179 664 184 563 189 673 194 935 200 395 206 069 211 951 218 029 224 157 230 450 236 957 243 648 250 474 257 370 264 339 271 430 278 670 286 007 293 427 300 900 308 399 315 957 323 524 331 109 338 791 346 493 354 326 362 069 370 057 378 204 386 279 394 193 402 110 410 248 418 470 426 758 435 097 443 276 451 387 459 512 467 639 475 790 483 957 492 093 500 150 508 094 515 916 523 612 531 213 538 751 546 212 dx. Benchmark 1990 levels in international Geary­Khamis dollars were derived as shown in Maddison (2001), pp. The present estimates refer to undivided India until 1946, and to the Indian Union since 1947. The following table shows the population breakdown for India, Bangladesh and Pakistan for 1820­1946.

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Nichols Charles Scott Nichols Dwight Dewayne Nichols Virginia Rosalie Nicholson Sara Noel Julie E Nolan Lori K medicine just for cough purchase 75 mg prothiaden with mastercard. Nomura Marianne Noonan Timothy Scott Noonan Shelley Catherine Nordling Abigail Norris DeAngelo Norris Lisa Norris Janet M medicine 95a generic prothiaden 75 mg mastercard. Pearce Reid Pearlman Ashley Denise Pearson George Louis Pearson Cynthia Folse Pechon Jeffrey M medicine 02 purchase 75mg prothiaden visa. Ramsey Reed Cullen Randel Laura Range Kanika Mehta Rankin Cynthia Ransburg-Brown August J medications 44334 white oblong cheap 75 mg prothiaden mastercard. Richard Amy K Richards Jeffrey Scott Richardson Lesley Ford Richer Collin Richmond Edward D. Safriet Jennifer Sala Julia Salahshour Christine Salimbene James A Saling Payam Saljoughian John H Samalik Jr. Smith Elizabeth Thomas Smith Elizabeth Truesdell Smith Fred Smith Gregory James Smith Gregory L. Strauss Lisa Stravinskas Alexandra Jane Streznewski Marshall P Strisik Brian Seth Strohl Wallis S. Tilley Reed Tinsley Tammie J Tischler Edwin Tisdale Bernadette Tiso Scott B Tittle Diane A. Challen Walling Michael Walters Lisa Walton Jacqueline R Walus-Wigle Rachel Ward Ann E. Welk Nathaniel Bradford Wells Heidi Ann Wendel Peg Wendell Kristian Andrew Werling Jonathan C. Zaragoza Lu Zawistowich Luis Francisco Zayas-Marxuach Anne Manie Zembrzuski Cara Zemenak Louise B. Mentor/Mentee Database Maintenance and Matching When the 2014-2015 year began, it was evident from the number of unmatched mentees and mentors that analysis was necessary to determine whether some number of members of both groups had lost interest. Through these efforts, we were able to achieve a lower number of unmatched mentees. Also during the Fundamentals program, Committee members Tony Choe and Dinetia Newman spoke on health care research, with a particular focus on Medicare research, to an audience of predominantly new health care attorneys. Committee member Sarah Swank also wrote an article and the text for a new member and renewing member marketing piece. Practice Group chairs were also encouraged to foster participation in the Mentoring Program in their strategic planning. Outreach At the 2014 Annual Meeting, the Committee established goals for the year. Mentor and Mentee Training and Tools the need for additional mentor and mentee training and tools was examined by a work group that included Committee members Sarah Swank and Ethan Rii. This included a panel discussion held at the Fundamentals of Health Law program in November 2014, Where is the Mentoring Program Now? We appreciate your willingness to guide the next generation by sharing your experiences and expertise. The pressures affect both sides of the ledger, as nonprofits struggle to maintain revenues, to contain costs, and to stay above water. Officers and directors of these financially distressed nonprofits face a difficult role. As officers and directors, they generally owe fiduciary duties to their nonprofit organization and its charitable mission. However, if the nonprofit is or may be insolvent, uncertainty arises as to whether and to what extent those fiduciary duties may be altered. In the past, those questions were answered with references to terms such as "zone of insolvency" and "shifting duties"-advice that provided little guidance about how to make decisions for their struggling corporations. Health care executives and industry experts alike see no immediate relief in sight. Reduced patient volumes are attributable to numerous factors, including increased competition from alternative models of care such as urgent care centers, stand-alone emergency departments, outpatient surgery centers, and home care and long term acute care providers. Higher deductible insurance plans are causing individuals to evaluate the costs of their health care options more closely than ever before. Many nonprofits, especially rural hospitals, cannot afford the specialty services their community seeks, driving that demand and those revenues elsewhere.

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References:

  • https://www.who.int/selection_medicines/committees/expert/21/applications/s6_paed_antibiotics_appendix5_dysentery.pdf
  • https://www.aaaai.org/Aaaai/media/MediaLibrary/PDF%20Documents/Practice%20and%20Parameters/Contact-dermatitis-2015.pdf
  • https://www.choosingwisely.org/wp-content/uploads/2015/01/Choosing-Wisely-Recommendations.pdf