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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1783 1
1786 1
1791 2
1792 2
1793 2
1794 5
1796 1
1797 4
1799 1
1800 8
1801 4
1802 2
1803 1
1804 3
1805 2
1806 1
1807 1
1808 4
1810 1
1811 3
1812 1
1813 2
1814 6
1815 1
1816 3
1817 3
1818 1
1819 1
1820 1
1821 1
1822 3
1823 2
1824 5
1825 1
1826 14
1827 4
1828 3
1829 4
1830 14
1831 9
1832 3
1833 5
1834 6
1835 6
1836 3
1837 5
1838 3
1840 10
1841 10
1842 70
1843 8
1844 15
1845 21
1846 14
1847 16
1848 14
1849 22
1850 16
1851 8
1852 9
1853 12
1854 15
1855 13
1856 9
1857 11
1858 9
1859 12
1860 8
1861 18
1862 8
1863 4
1864 9
1865 3
1866 6
1867 12
1868 13
1869 4
1870 9
1871 12
1872 17
1873 11
1874 9
1875 11
1876 8
1877 6
1878 10
1879 6
1880 12
1881 13
1882 10
1883 8
1884 13
1885 15
1886 21
1887 26
1888 18
1889 30
1890 21
1891 12
1892 23
1893 37
1894 14
1895 28
1896 32
1897 25
1898 16
1899 16
1900 12
1901 24
1902 16
1903 25
1904 18
1905 11
1906 15
1907 11
1908 18
1909 21
1910 25
1911 28
1912 22
1913 40
1914 31
1915 32
1916 25
1917 30
1918 35
1919 39
1920 26
1921 19
1922 19
1923 33
1924 22
1925 18
1926 105
1927 86
1928 97
1929 120
1930 101
1931 104
1932 139
1933 118
1934 129
1935 135
1936 78
1937 36
1938 37
1939 47
1940 43
1941 40
1942 49
1943 25
1944 50
1945 168
1946 132
1947 152
1948 165
1949 117
1950 365
1951 663
1952 684
1953 545
1954 452
1955 445
1956 521
1957 493
1958 495
1959 490
1960 431
1961 563
1962 593
1963 1913
1964 3066
1965 1772
1966 1288
1967 1367
1968 1636
1969 2183
1970 2432
1971 2515
1972 2545
1973 3195
1974 3413
1975 6851
1976 6919
1977 6331
1978 6402
1979 6999
1980 7557
1981 8050
1982 8697
1983 10031
1984 10610
1985 10928
1986 11238
1987 11527
1988 12086
1989 13468
1990 13616
1991 13653
1992 15071
1993 15243
1994 15240
1995 15182
1996 15714
1997 15307
1998 15624
1999 16426
2000 19351
2001 20192
2002 21193
2003 22545
2004 22538
2005 24792
2006 26500
2007 28389
2008 30713
2009 31959
2010 34624
2011 38695
2012 42000
2013 43282
2014 45141
2015 46712
2016 49548
2017 53891
2018 60849
2019 67321
2020 80810
2021 91221
2022 92887
2023 92758
2024 99968
2025 112819
2026 38630
2027 1

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The following term was not found in PubMed: Katozi
Page 1
Did you mean m kato i (63 results)?
Mycobacterial infections in domestic and wild animals due to Mycobacterium marinum, M. fortuitum, M. chelonae, M. porcinum, M. farcinogenes, M. smegmatis, M. scrofulaceum, M. xenopi, M. kansasii, M. simiae and M. genavense.
Bercovier H, Vincent V. Bercovier H, et al. Rev Sci Tech. 2001 Apr;20(1):265-90. doi: 10.20506/rst.20.1.1269. Rev Sci Tech. 2001. PMID: 11288516 Free article. Review.
The epidemiology and the natural distribution of Mycobacterium marinum, M. fortuitum, M. chelonae, M. porcinum, M. farcinogenes, M. smegmatis, M. scrofulaceum, M. xenopi, M. kansasii, M. simiae and M. genavense …
The epidemiology and the natural distribution of Mycobacterium marinum, M. fortuitum, M. chelonae, M. porcinum, M …
[Malassezia infections].
Sei Y. Sei Y. Med Mycol J. 2012;53(1):7-11. doi: 10.3314/mmj.53.7. Med Mycol J. 2012. PMID: 22467125 Free article. Japanese.
To date, the genus is composed of one non lipid-dependent species M. pachydermatis and lipid-dependent species M. furfur, M. sympodialis, M. globosa, M. obtusa, M. restricta, M. slooffiae, M. dermatis, M. yamatoensis, …
To date, the genus is composed of one non lipid-dependent species M. pachydermatis and lipid-dependent species M. furfur, M …
Wigner numbers.
Allen WD. Allen WD. J Chem Phys. 2019 Dec 28;151(24):244122. doi: 10.1063/1.5135721. J Chem Phys. 2019. PMID: 31893864
All reduced Wigner rotation matrix elements d(M(')M) (J)(theta) can be evaluated very efficiently as a linear combination of either cos(Ntheta) or sin(Ntheta) terms as N runs in unit steps from either 0 or 12 to J. ...The solutions involve collections of numbers W( …
All reduced Wigner rotation matrix elements d(M(')M) (J)(theta) can be evaluated very efficiently as a linear combination of e …
m(6)Aexpress-Reader: Prediction of m(6)A regulated expression genes by integrating m(6)A sites and reader binding information in specific- context.
Zhang T, Zhang SW, Zhang SY, Ma QQ. Zhang T, et al. Methods. 2022 Jul;203:167-178. doi: 10.1016/j.ymeth.2022.03.008. Epub 2022 Mar 18. Methods. 2022. PMID: 35314342
Even though, some methods are able to predict m(6)A regulated expression (m(6)A-reg-exp) genes in specific context, they don't introduce the m(6)A reader binding information, while this information can help to predict m(6)A-reg-exp genes and more clear …
Even though, some methods are able to predict m(6)A regulated expression (m(6)A-reg-exp) genes in specific context, they don't …
MPH-M, AODV-M and DSR-M Performance Evaluation under Jamming Attacks.
Del-Valle-Soto C, Mex-Perera C, Monroy R, Nolazco-Flores JA. Del-Valle-Soto C, et al. Sensors (Basel). 2017 Jul 5;17(7):1573. doi: 10.3390/s17071573. Sensors (Basel). 2017. PMID: 28678180 Free PMC article.
The results of our evaluation show that performance for MPH-M is much better than AODV-M and DSR-M. For example, the node energy for MPH-M is 138.13% better than AODV-M and 126.07% better than DSR-M. Moreover, we also find that MPH-M …
The results of our evaluation show that performance for MPH-M is much better than AODV-M and DSR-M. For example, the no …
Predicting Disease-Associated N7-Methylguanosine (m(7)G) Sites via Random Walk on Heterogeneous Network.
Huang Y, Wu Z, Lan W, Zhong C. Huang Y, et al. IEEE/ACM Trans Comput Biol Bioinform. 2023 Sep-Oct;20(5):3173-3181. doi: 10.1109/TCBB.2023.3284505. Epub 2023 Oct 9. IEEE/ACM Trans Comput Biol Bioinform. 2023. PMID: 37294648
In this work, we propose computational method called m(7)GDP-RW to predict m(7)G-disease associations by random walk algorithm. m(7)GDP-RW first incorporates the feature information of m(7)G site and disease with the known m(7)G-disease associ …
In this work, we propose computational method called m(7)GDP-RW to predict m(7)G-disease associations by random walk algorit …
The economic geographies of mergers and acquisitions (M&As).
Keenan L, Wójcik D. Keenan L, et al. Environ Plan A. 2023 Sep;55(6):1618-1627. doi: 10.1177/0308518X231190091. Epub 2023 Aug 15. Environ Plan A. 2023. PMID: 37810992 Free PMC article.
Mergers and acquisitions (M&As) are on the rise. Interlocking processes of globalization and financialization have increased their attractiveness and incentivized an upward spiral of M&A activity in recent years. ...Despite this growth and inherent spatialit …
Mergers and acquisitions (M&As) are on the rise. Interlocking processes of globalization and financialization have increased thei …
Changes in running mechanics over 100-m, 200-m and 400-m treadmill sprints.
Girard O, Brocherie F, Tomazin K, Farooq A, Morin JB. Girard O, et al. J Biomech. 2016 Jun 14;49(9):1490-1497. doi: 10.1016/j.jbiomech.2016.03.020. Epub 2016 Mar 19. J Biomech. 2016. PMID: 27015963
CONCLUSIONS: The magnitude of changes in running velocity and mechanics over short (100-m), medium (200-m) and long (400-m) treadmill sprints increases with sprint distance. The alterations in stride mechanics occur relatively earlier during the 400-m …
CONCLUSIONS: The magnitude of changes in running velocity and mechanics over short (100-m), medium (200-m) and long (400-m …
TNFalpha-induced M-MDSCs promote transplant immune tolerance via nitric oxide.
Yang F, Li Y, Wu T, Na N, Zhao Y, Li W, Han C, Zhang L, Lu J, Zhao Y. Yang F, et al. J Mol Med (Berl). 2016 Aug;94(8):911-20. doi: 10.1007/s00109-016-1398-z. Epub 2016 Mar 2. J Mol Med (Berl). 2016. PMID: 26936474
M-CSF + TNFalpha-induced M-MDSCs showed enhanced ability to suppress T cell proliferation and cytokine production than M-CSF-induced M-MDSCs. ...Adoptive transfer of M-CSF + TNFalpha-induced M-MDSCs promoted immune tolerance in a male-to- …
M-CSF + TNFalpha-induced M-MDSCs showed enhanced ability to suppress T cell proliferation and cytokine production than M …
Erratum for the Report "Global distribution of earthworm diversity" by H. R. P. Phillips, C. A. Guerra, M. L. C. Bartz, M. J. I. Briones, G. Brown, T. W. Crowther, O. Ferlian, K. B. Gongalsky, J. van den Hoogen, J. Krebs, A. Orgiazzi, D. Routh, B. Schwarz, E. M. Bach, J. Bennett, U. Brose, T. Decaens, B. Konig-Ries, M. Loreau, J. Mathieu, C. Mulder, W. H. van der Putten, K. S. Ramirez, M. C. Rillig, D. Russell, M. Rutgers, M. P. Thakur, F. T. de Vries, D. H. Wall, D. A. Wardle, M. Arai, F. O. Ayuke, G. H. Baker, R. Beausejour, J. C. Bedano, K. Birkhofer, E. Blanchart, B. Blossey, T. Bolger, R. L. Bradley, M. A. Callaham, Y. Capowiez, M. E. Caulfield, A. Choi, F. V. Crotty, A. Davalos, D. J. Diaz Cosin, A. Dominguez, A. E. Duhour, N. van Eekeren, C. Emmerling, L. B. Falco, R. Fernandez, S. J. Fonte, C. Fragoso, A. L. C. Franco, M. Fugere, A. T. Fusilero, S. Gholami, M. J. Gundale, M. Gutierrez Lopez, D. K. Hackenberger, L. M. Hernandez, T. Hishi, A. R. Holdsworth, M. Holmstrup, K. N. Hopfensperger, E. Huerta Lwanga, V. Huhta, T. T. Hurisso, B. V. Iannone III, M. Iordache, M. Joschko, N. Kaneko, R. Kanianska, A. M. Keith, C. A. Kelly, M. L. Kernecker, J. Klaminder, A. W. Kone, Y. Kooch, S. T. Kukkonen, H. Lalthanzara, D. R. Lammel, I. M. Lebedev, Y. Li, J. B. Jesus Lidon, N. K. Lincoln, S. R. Loss, R. Marichal, R. Matula, J. H. Moos, G. Moreno, A. Moron-Rios, B. Muys, J. Neirynck, L. Norgrove, M. Novo, V. Nuutinen, V. Nuzzo, M. Rahman P, J. Pansu, S. Paudel, G. Peres, L. Perez-Camacho, R. Pineiro, J.-F. Ponge, M. I. Rashid, S. Rebollo, J. Rodeiro-Iglesias, M. A. Rodriguez, A. M. Roth, G. X. Rousseau, A. Rozen, E. Sayad, L. van Schaik, B. C. Scharenbroch, M. Schirrmann, O. Schmidt, B. Schroder, J. Seeber, M. P. Shashkov, J. Singh, S. M. Smith, M. Steinwandter, J. A. Talavera, D. Trigo, J. Tsukamoto, A. W. de Valenca, S. J. Vanek, I. Virto, A. A. Wackett, M. W. Warren, N. H. Wehr, J. K. Whalen, M. B. Wironen, V. Wolters, I. V. Zenkova, W. Zhang, E. K. Cameron, N. Eisenhauer.
[No authors listed] [No authors listed] Science. 2020 Jul 31;369(6503):eabd9834. doi: 10.1126/science.abd9834. Science. 2020. PMID: 32732396 No abstract available.
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