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

Year Number of Results
1921 1
1944 1
1956 1
1959 1
1961 2
1963 1
1965 2
1967 1
1968 1
1969 4
1971 1
1972 2
1973 5
1974 3
1975 25
1976 27
1977 17
1978 14
1979 21
1980 18
1981 26
1982 27
1983 39
1984 33
1985 53
1986 49
1987 47
1988 56
1989 83
1990 78
1991 74
1992 71
1993 88
1994 80
1995 99
1996 117
1997 120
1998 103
1999 130
2000 162
2001 163
2002 182
2003 210
2004 256
2005 248
2006 252
2007 295
2008 325
2009 377
2010 411
2011 416
2012 478
2013 545
2014 540
2015 564
2016 569
2017 612
2018 718
2019 824
2020 819
2021 991
2022 1076
2023 1043
2024 448

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12,808 results

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Page 1
Grid Cell Percolation.
Dabaghian Y. Dabaghian Y. Neural Comput. 2023 Sep 8;35(10):1609-1626. doi: 10.1162/neco_a_01606. Neural Comput. 2023. PMID: 37523457
Grid cells play a principal role in enabling cognitive representations of ambient environments. The key property of these cells-the regular arrangement of their firing fields-is commonly viewed as a means for establishing spatial scales or encoding specific location …
Grid cells play a principal role in enabling cognitive representations of ambient environments. The key property of these cells-the regul
Maxwell parallel imaging.
Francavilla MA, Lefkimmiatis S, Villena JF, G Polimeridis A. Francavilla MA, et al. Magn Reson Med. 2021 Sep;86(3):1573-1585. doi: 10.1002/mrm.28718. Epub 2021 Mar 18. Magn Reson Med. 2021. PMID: 33733495
PURPOSE: To develop a general framework for parallel imaging (PI) with the use of Maxwell regularization for the estimation of the sensitivity maps (SMs) and constrained optimization for the parameter-free image reconstruction. THEORY AND METHODS: Certain characteristics o …
PURPOSE: To develop a general framework for parallel imaging (PI) with the use of Maxwell regularization for the estimation of the se …
Gravity from Symmetry Breaking Phase Transition.
Volovik GE. Volovik GE. J Low Temp Phys. 2022;207(3-4):127-137. doi: 10.1007/s10909-022-02694-z. Epub 2022 Mar 15. J Low Temp Phys. 2022. PMID: 35528714 Free PMC article. Review.
The order parameter in this transition is the tetrad field emua , which appears as the bilinear composite of the fermionic fields. ...In Diakonov theory this symmetry breaking gives 6 Nambu-Goldstone modes; 6 gauge bosons in the spin-connection fields, which …
The order parameter in this transition is the tetrad field emua , which appears as the bilinear composite of the fermionic fields
Model-Based Quantitative Elasticity Reconstruction Using ADMM.
Mohammed S, Honarvar M, Zeng Q, Hashemi H, Rohling R, Kozlowski P, Salcudean S. Mohammed S, et al. IEEE Trans Med Imaging. 2022 Nov;41(11):3039-3052. doi: 10.1109/TMI.2022.3178072. Epub 2022 Oct 27. IEEE Trans Med Imaging. 2022. PMID: 35617177
We introduce two model-based iterative methods to obtain shear modulus images of tissue using magnetic resonance elastography. The first method jointly finds the displacement field that best fits tissue displacement data and the corresponding shear modulus. ...Their soluti …
We introduce two model-based iterative methods to obtain shear modulus images of tissue using magnetic resonance elastography. The first met …
Structured sparsity regularization for analyzing high-dimensional omics data.
Vinga S. Vinga S. Brief Bioinform. 2021 Jan 18;22(1):77-87. doi: 10.1093/bib/bbaa122. Brief Bioinform. 2021. PMID: 32597465 Review.
In particular, the field of statistical learning with sparsity has been significantly contributing to building accurate models that also bring interpretability to biological observations and phenomena. ...The successful application to omics data illustrates the potential o …
In particular, the field of statistical learning with sparsity has been significantly contributing to building accurate models that a …
The evolution of demographic methods.
Li T, Xie Y. Li T, et al. Soc Sci Res. 2022 Sep;107:102768. doi: 10.1016/j.ssresearch.2022.102768. Epub 2022 Jul 1. Soc Sci Res. 2022. PMID: 36058610
Demographic methods have been evolving ever since the birth of demography in response to changes in the field's research contents and theoretical orientations. An early core mission of finding regularities underlying macro-level population phenomena and a lat …
Demographic methods have been evolving ever since the birth of demography in response to changes in the field's research conte …
Upper bounds on focusing efficiency.
Schab K, Jelinek L, Capek M, Gustafsson M. Schab K, et al. Opt Express. 2022 Dec 5;30(25):45705-45723. doi: 10.1364/OE.472558. Opt Express. 2022. PMID: 36522970 Free article.
Results demonstrate that, without regularization, focusing efficiency based solely on lens exit plane fields is unbounded, similar to the problem of unbounded antenna directivity. Additionally, results considering extruded two-dimensional dielectric geometries drive …
Results demonstrate that, without regularization, focusing efficiency based solely on lens exit plane fields is unbounded, sim …
Soft porous crystals.
Horike S, Shimomura S, Kitagawa S. Horike S, et al. Nat Chem. 2009 Dec;1(9):695-704. doi: 10.1038/nchem.444. Epub 2009 Nov 23. Nat Chem. 2009. PMID: 21124356 Review.
The field of host-guest complexation is intensely attractive from diverse perspectives, including materials science, chemistry and biology. ...Such soft porous crystals exhibit dynamic frameworks that are able to respond to external stimuli such as light, electric field
The field of host-guest complexation is intensely attractive from diverse perspectives, including materials science, chemistry and bi …
Soft-margin classification of object manifolds.
Cohen U, Sompolinsky H. Cohen U, et al. Phys Rev E. 2022 Aug;106(2-1):024126. doi: 10.1103/PhysRevE.106.024126. Phys Rev E. 2022. PMID: 36109959
Here we develop a mean-field theory describing the behavior of soft-margin classifiers applied to object manifolds. Analyzing manifolds with increasing complexity, from points through spheres to general manifolds, a mean-field theory describes the expected value of …
Here we develop a mean-field theory describing the behavior of soft-margin classifiers applied to object manifolds. Analyzing manifol …
Statistical learning of motor preparation.
Theeuwes J, Huang C, Frings C, van Moorselaar D. Theeuwes J, et al. J Exp Psychol Hum Percept Perform. 2024 Feb;50(2):152-162. doi: 10.1037/xhp0001174. J Exp Psychol Hum Percept Perform. 2024. PMID: 38376933
Statistical learning, the process of extracting regularities from the environment, is one of the most fundamental abilities playing an essential role in almost all aspects of human cognition. ...The study increases the scope of statistical learning and shows how individual …
Statistical learning, the process of extracting regularities from the environment, is one of the most fundamental abilities playing a …
12,808 results
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