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

Year Number of Results
1898 2
1912 2
1913 1
1915 1
1917 1
1919 1
1920 5
1921 2
1922 1
1923 1
1926 3
1927 3
1928 2
1929 1
1931 1
1932 3
1933 2
1935 2
1936 1
1939 2
1941 1
1943 1
1944 2
1945 1
1948 1
1951 2
1953 2
1954 1
1955 1
1956 1
1957 1
1958 2
1959 6
1960 4
1961 4
1962 5
1963 6
1964 8
1965 10
1966 15
1967 15
1968 10
1969 24
1970 28
1971 22
1972 19
1973 16
1974 25
1975 158
1976 166
1977 151
1978 147
1979 145
1980 156
1981 174
1982 190
1983 227
1984 227
1985 260
1986 286
1987 278
1988 284
1989 354
1990 413
1991 433
1992 431
1993 418
1994 445
1995 435
1996 485
1997 499
1998 516
1999 603
2000 604
2001 668
2002 688
2003 726
2004 869
2005 1000
2006 1066
2007 1197
2008 1204
2009 1254
2010 1421
2011 1544
2012 1568
2013 1766
2014 1729
2015 1713
2016 1817
2017 1883
2018 2009
2019 2029
2020 2169
2021 2378
2022 2279
2023 2149
2024 815

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40,819 results

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Page 1
Microstructure with diffusion MRI: what scale we are sensitive to?
Kiselev VG. Kiselev VG. J Neurosci Methods. 2021 Jan 1;347:108910. doi: 10.1016/j.jneumeth.2020.108910. Epub 2020 Aug 14. J Neurosci Methods. 2021. PMID: 32798530 Review.
Diffusion phenomena and models are first classified in two-dimensional space (the q-t-plane) of the measurement with narrow gradient pulses. Three-dimensional parameter space of the Stejskal-Tanner diffusion weighting adds more phenomena to this collection. Modern m …
Diffusion phenomena and models are first classified in two-dimensional space (the q-t-plane) of the measurement with narrow gradient …
Nonlinear Phenomena in Microfluidics.
Battat S, Weitz DA, Whitesides GM. Battat S, et al. Chem Rev. 2022 Apr 13;122(7):6921-6937. doi: 10.1021/acs.chemrev.1c00985. Epub 2022 Feb 23. Chem Rev. 2022. PMID: 35194990 Review.
Examples include oscillations, flow-switching behaviors, and bifurcations. These phenomena are qualitatively distinct from laminar, diffusion-limited flows that are often associated with microfluidics. ...We also highlight some of the nonlinearities that arise from operati …
Examples include oscillations, flow-switching behaviors, and bifurcations. These phenomena are qualitatively distinct from laminar, diffu …
Single-Particle Diffusion Characterization by Deep Learning.
Granik N, Weiss LE, Nehme E, Levin M, Chein M, Perlson E, Roichman Y, Shechtman Y. Granik N, et al. Biophys J. 2019 Jul 23;117(2):185-192. doi: 10.1016/j.bpj.2019.06.015. Epub 2019 Jun 22. Biophys J. 2019. PMID: 31280841 Free PMC article.
Here, we use deep learning to infer the underlying process resulting in anomalous diffusion. We implement a neural network to classify single-particle trajectories by diffusion type: Brownian motion, fractional Brownian motion and continuous time random walk. ...Fin …
Here, we use deep learning to infer the underlying process resulting in anomalous diffusion. We implement a neural network to classif …
Multivalent Diffusive Transport.
Kowalewski A, Forde NR, Korosec CS. Kowalewski A, et al. J Phys Chem B. 2021 Jul 1;125(25):6857-6863. doi: 10.1021/acs.jpcb.1c02821. Epub 2021 Jun 20. J Phys Chem B. 2021. PMID: 34151560
The available number of binding interactions is dependent on the number of feet (multivalency) and on their allowed distance from the central hub (span). Using Monte Carlo simulations that implement the Gillespie algorithm, we simulate multivalent diffusive t …
The available number of binding interactions is dependent on the number of feet (multivalency) and on their allowed distance f …
Diffusion-time dependence of diffusional kurtosis in the mouse brain.
Aggarwal M, Smith MD, Calabresi PA. Aggarwal M, et al. Magn Reson Med. 2020 Sep;84(3):1564-1578. doi: 10.1002/mrm.28189. Epub 2020 Feb 5. Magn Reson Med. 2020. PMID: 32022313 Free PMC article.
Monte Carlo simulations were used to investigate the coupled effects of varying restriction size and permeability on time/frequency-dependence of kurtosis with both diffusion-encoding schemes. Simulations and experiments were further performed to investigate the effect of …
Monte Carlo simulations were used to investigate the coupled effects of varying restriction size and permeability on time/frequency-dependen …
Stationary patterns in bistable reaction-diffusion cellular automata.
Špale D, Stehlík P. Špale D, et al. Math Biosci Eng. 2022 Apr 13;19(6):6072-6087. doi: 10.3934/mbe.2022283. Math Biosci Eng. 2022. PMID: 35603391 Free article.
In this paper, we study stationary patterns of bistable reaction-diffusion cellular automata, i.e., models with discrete time, space and state. ...Moreover, nonmonotone dependence of the number of stationary patterns on the diffusion parameter is shown to be …
In this paper, we study stationary patterns of bistable reaction-diffusion cellular automata, i.e., models with discrete time, space …
Facilitated Diffusion Mechanisms in DNA Base Excision Repair and Transcriptional Activation.
Esadze A, Stivers JT. Esadze A, et al. Chem Rev. 2018 Dec 12;118(23):11298-11323. doi: 10.1021/acs.chemrev.8b00513. Epub 2018 Oct 31. Chem Rev. 2018. PMID: 30379068 Free PMC article. Review.
Despite the multifactorial complexity of cellular DNA repair and transcriptional regulation, both processes share a fundamental physical requirement that the proteins must rapidly diffuse to their specific DNA-binding sites that are embedded within the context of a vastly …
Despite the multifactorial complexity of cellular DNA repair and transcriptional regulation, both processes share a fundamental physical req …
Asynchronous τ-leaping.
Jȩdrzejewski-Szmek Z, Blackwell KT. Jȩdrzejewski-Szmek Z, et al. J Chem Phys. 2016 Mar 28;144(12):125104. doi: 10.1063/1.4944575. J Chem Phys. 2016. PMID: 27036481 Free PMC article.
We present a hybrid simulation method for reaction-diffusion systems which combines exact stochastic simulation and tau-leaping in a dynamic way. Putative times of events are stored in a priority queue, which reduces the cost of each step of the simulation. For every react …
We present a hybrid simulation method for reaction-diffusion systems which combines exact stochastic simulation and tau-leaping in a …
Paradigm Shift in Diffusion-Mediated Surface Phenomena.
Grebenkov DS. Grebenkov DS. Phys Rev Lett. 2020 Aug 14;125(7):078102. doi: 10.1103/PhysRevLett.125.078102. Phys Rev Lett. 2020. PMID: 32857533
Their current description via diffusion equations with mixed boundary conditions is limited to simple surface reactions with infinite or constant reactivity. ...This general formalism allows us to describe new surface reaction mechanisms such as for instance surface reacti …
Their current description via diffusion equations with mixed boundary conditions is limited to simple surface reactions with infinite …
Maximum likelihood estimates of diffusion coefficients from single-particle tracking experiments.
Bullerjahn JT, Hummer G. Bullerjahn JT, et al. J Chem Phys. 2021 Jun 21;154(23):234105. doi: 10.1063/5.0038174. J Chem Phys. 2021. PMID: 34241279
Here, we revisit the problem of extracting diffusion coefficients from single-particle tracking experiments subject to static noise and dynamic motion blur using the principle of maximum likelihood. ...We employ the theory to analyze experimental tracking data that cannot …
Here, we revisit the problem of extracting diffusion coefficients from single-particle tracking experiments subject to static noise a …
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