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

Year Number of Results
1893 1
1895 2
1896 1
1898 1
1907 1
1913 1
1914 1
1917 2
1922 1
1923 2
1928 3
1929 5
1930 1
1931 1
1933 1
1934 2
1935 2
1936 1
1938 1
1940 2
1941 1
1942 2
1943 2
1944 2
1945 3
1946 7
1947 6
1948 16
1949 4
1950 3
1951 10
1952 8
1953 4
1954 8
1955 8
1956 10
1957 12
1958 13
1959 20
1960 10
1961 14
1962 25
1963 27
1964 40
1965 50
1966 50
1967 52
1968 44
1969 50
1970 53
1971 40
1972 60
1973 57
1974 63
1975 62
1976 62
1977 85
1978 69
1979 70
1980 91
1981 75
1982 94
1983 86
1984 87
1985 66
1986 79
1987 86
1988 83
1989 106
1990 89
1991 94
1992 112
1993 91
1994 111
1995 135
1996 125
1997 139
1998 165
1999 150
2000 198
2001 192
2002 222
2003 238
2004 271
2005 307
2006 353
2007 348
2008 429
2009 428
2010 469
2011 566
2012 585
2013 655
2014 788
2015 838
2016 869
2017 976
2018 1181
2019 1309
2020 1497
2021 1780
2022 1983
2023 1964
2024 794

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20,391 results

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The following term was not found in PubMed: Morgan-Baehr
Page 1
Entropy and Time.
Ben-Naim A. Ben-Naim A. Entropy (Basel). 2020 Apr 10;22(4):430. doi: 10.3390/e22040430. Entropy (Basel). 2020. PMID: 33286203 Free PMC article.
Biological information.
Jost J. Jost J. Theory Biosci. 2020 Dec;139(4):361-370. doi: 10.1007/s12064-020-00327-1. Epub 2020 Nov 19. Theory Biosci. 2020. PMID: 33211276 Free PMC article.
This is much more intricate in biology. Nevertheless, I argue that Shannon's concept of information is useful in biology, although its application is not as straightforward as many people think. ...
This is much more intricate in biology. Nevertheless, I argue that Shannon's concept of information is useful in biology, alth …
Entropy, Economics, and Criticality.
Harré MS. Harré MS. Entropy (Basel). 2022 Jan 28;24(2):210. doi: 10.3390/e24020210. Entropy (Basel). 2022. PMID: 35205504 Free PMC article.
Information theory is a well-established method for the study of many phenomena and more than 70 years after Claude Shannon first described it in A Mathematical Theory of Communication it has been extended well beyond Shannon's initial vision. ...
Information theory is a well-established method for the study of many phenomena and more than 70 years after Claude Shannon first des …
Application of information theory in systems biology.
Uda S. Uda S. Biophys Rev. 2020 Apr;12(2):377-384. doi: 10.1007/s12551-020-00665-w. Epub 2020 Mar 6. Biophys Rev. 2020. PMID: 32144740 Free PMC article. Review.
Over recent years, new light has been shed on aspects of information processing in cells. The quantification of information, as described by Shannon's information theory, is a basic and powerful tool that can be applied to various fields, such as communication, stat …
Over recent years, new light has been shed on aspects of information processing in cells. The quantification of information, as described by …
Information Theory: Deep Ideas, Wide Perspectives, and Various Applications.
Ben-Gal I, Kagan E. Ben-Gal I, et al. Entropy (Basel). 2021 Feb 17;23(2):232. doi: 10.3390/e23020232. Entropy (Basel). 2021. PMID: 33671301 Free PMC article.
The history of information theory, as a mathematical principle for analyzing data transmission and information communication, was formalized in 1948 with the publication of Claude Shannon's famous paper "A Mathematical Theory of Communication" [...]....
The history of information theory, as a mathematical principle for analyzing data transmission and information communication, was formalized …
Extreme events and emergency scales.
Smirnov V, Ma Z, Volchenkov D. Smirnov V, et al. Commun Nonlinear Sci Numer Simul. 2020 Nov;90:105350. doi: 10.1016/j.cnsns.2020.105350. Epub 2020 May 22. Commun Nonlinear Sci Numer Simul. 2020. PMID: 32501383 Free PMC article. Review.
A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess the degree of uncertainty by the Shannon's entropy calculated on the probability that the threshold changes at any given time …
A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess …
Information, Entropy, Life, and the Universe.
Ben-Naim A. Ben-Naim A. Entropy (Basel). 2022 Nov 10;24(11):1636. doi: 10.3390/e24111636. Entropy (Basel). 2022. PMID: 36359725 Free PMC article.
In the first part of this article, I will present the definitions of two central concepts: the "Shannon measure of information" (SMI), in Information Theory, and "Entropy", in Thermodynamics. ...
In the first part of this article, I will present the definitions of two central concepts: the "Shannon measure of information" (SMI) …
An Information Theoretic Condition for Perfect Reconstruction.
Delsol I, Rioul O, Béguinot J, Rabiet V, Souloumiac A. Delsol I, et al. Entropy (Basel). 2024 Jan 19;26(1):86. doi: 10.3390/e26010086. Entropy (Basel). 2024. PMID: 38275494 Free PMC article. Review.
A new information theoretic condition is presented for reconstructing a discrete random variable X based on the knowledge of a set of discrete functions of X. The reconstruction condition is derived from Shannon's 1953 lattice theory with two entropic metrics of …
A new information theoretic condition is presented for reconstructing a discrete random variable X based on the knowledge of a set of discre …
Estimating the variance of Shannon entropy.
Ricci L, Perinelli A, Castelluzzo M. Ricci L, et al. Phys Rev E. 2021 Aug;104(2-1):024220. doi: 10.1103/PhysRevE.104.024220. Phys Rev E. 2021. PMID: 34525589
The statistical analysis of data stemming from dynamical systems, including, but not limited to, time series, routinely relies on the estimation of information theoretical quantities, most notably Shannon entropy. To this purpose, possibly the most widespread tool is provi …
The statistical analysis of data stemming from dynamical systems, including, but not limited to, time series, routinely relies on the estima …
20,391 results
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