Shuaifeng Li (4760559), Liza M. Roger (10652156), Lokender Kumar (625202) et al. · Figshare · 2023
<p>The recurrence plot of the Pearson correlation coefficients of (a) polyp A, (b) polyp B, and (c) polyp C.</p>
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Sebastian Wallot (424713), Jun Taek Lee (6298343), Damian G. Kelty-Stephen (5680013) · Figshare · 2019
<p>The black squares indicate recurrences within the sequence “ABCDDABCDD”, plotted on the x- and y-axes of the RP. To the right of the plot are the calculations of some of the recurrence measures in this example.</p>
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Qinghong Yu (7023878), Chuchu Xu (9373900), Mengqian Wang (13767167) et al. · Figshare · 2022
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G. G. Koning (103625), J. Wetterslev (103630), C. J. H. M. van Laarhoven (103634) et al. · Figshare · 2015
<p><b>7a:</b> forest plot on recurrence. Fixed-effect model. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0052599#pone-0052599-g007" target="_blank"><b>Figure 7b</b></a><b>:</b> forest plot on recurrence. Random-effects model.</p>
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Tatiana Ferreira dos Santos (19803440), Gabriel Ferraz Ferreira (5993237), Monica Paschoal Nogueira (5888018) · Figshare · 2024
<div><p>In myelomeningocele children, the incidence of equinocavovarus feet, considering all foot deformities, is 25–36%. Treatment options consist of extensive surgeries resulting in rigid feet with better alignment. Ponseti method expanded its indications since the early 2000s, including myelodysplastic feet. However, the literature on success, recurrence, and complication rates remains sparse. Therefore, a systematic review was performed in Pubmed, Scopus, Embase, Lilacs, and Web of Science databases on October 28, 2020 and July 11, 2023. Normality and sample proportion analysis with 95% confidence intervals were estimated. Risks of bias and the quality of studies were also evaluated. Success, recurrence, and complication rates were evaluated and analyzed. Eight case series were identified with 101 patients (176 feet). According to this model, the initial success rate was 93% (95% CI = 0.88–0.96) with I<sup>2</sup> = 0%, and the final success was 63% (at 4.9 years of follow-up). Recurrence rate was 62% (95% CI = 50–72), and complication rate was 29% (95% CI = 22–38). Ponseti method for myelodysplastic clubfoot is effective (93% of initial correction). However, there are high complication and recurrence rates, and longer follow-up is needed to identify recurrences and urge for early intervention. Foot abduction brace should be used to avoid recurrences.</p></div>
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Clara Rodriguez-Sabate (4512394), Manuel Rodriguez (3864133), Ingrid Morales (4512397) · Figshare · 2021
<p>BOLD data are normalized as percentages of the mean BOLD-value of each subject (A) and binarized by replacing the data higher than the mean value with the number 1 (which represent a status of high-metabolic activity) and those lower or equal to the mean value with the number 0 (low metabolic activity) (B). The next step is to calculate the number of 1–1 matches (ON-ON matches) for the bRP and bCRP. The bRP computes the ON-ON match matrix of each task-block of each subject (ON-ON matches of each time-point regarding all the time-points of the same block). This is a 100x100 matrix whose elements can be 1 (ON-ON match) or 0 (ON-ON mismatch). The bRP was computed by adding the two ON-ON match matrices of the same experimental-block of each subject to those of all the other subjects of the experimental group (C). Thus, each of the 100x100 elements of the bRP have a value between 0 (no ON-ON matches) and 40 (the 20 subjects of each group showed ON-ON matches in both task-blocks). The bCRP was computed with the same procedure but using the ON-ON matches of a particular brain region with those recorded in another brain region (D). Thus, whereas the bRP shows the time-dynamic of a brain region, the bCRP shows the time-dynamic of the relationship between two brain regions. The statistical significance (D) of each value of the bRP and bCRP matrices was computed with a Chi<sup>2</sup> test. The bRP and bCRP values are between 0 and 40 and each of the four possible combinations of the ON and OFF status should be found 25% of times. The distance between the expected and found numbers of ON-ON matches was established using the Chi<sup>2</sup> distribution, and only values with a Chi<sup>2</sup> probability lower than 0.01% were considered.</p>
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Meng-Yuan Ding (13889338), Bing Li (43671), Meng Yang (162251) et al. · Figshare · 2022
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Maggie Lawrence (707721), Jan Pringle (707722), Susan Kerr (707723) et al. · Figshare · 2015
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Lucas Haraped (20454820), Stefan E. Huber (6861368), Walter F. Bischof (9211850) et al. · Figshare · 2024
<p>Example of a recurrence plot constructed from nominal time series data of two interacting participants’ gaze towards the 9 task relevant items. The boxes along the diagonal line from the bottom left to the top right indicate moments of prolonged joint attention. Unique for this example dyad, symmetrical converging structures on the top left and bottom right, mirrored across line of coincidence indicate that both participants revisited all items during approximately the last minute of the conversation.</p>
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Vishnu Sreekumar (563300), Simon Dennis (563301), Isidoros Doxas (563302) et al. · Figshare · 2015
<p>The images are ordered in time on both X and Y axes. The substantial dark structure around the diagonal implies that similar visual contexts were visited close in time. The off-diagonal structures represent recurrent visits to similar visual contexts at different points in time.</p>
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Meng-Yuan Ding (13889338), Bing Li (43671), Meng Yang (162251) et al. · Figshare · 2022
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Anne Rossel (6495176), Helia Robert-Ebadi (6495179), Christophe Combescure (146642) et al. · Figshare · 2019
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D.T. Mewett, Karen Reynolds, H. Nazeran · 2003
Single beats from ECG recording were used to demonstrate how the nonlinear dynamical analysis method of recurrence plots can be used to qualitatively describe data. It is concluded that, for ECG examples, the characteristics of the signals that cause particular features of the recurrence plots are easily identified. However, features in recurrence plots obtained from other signals must have similar underlying causes. Recurrence plots may therefore reveal time-domain features of a signal that make it easier to describe.
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Clara Rodriguez-Sabate (4512394), Manuel Rodriguez (3864133), Ingrid Morales (4512397) · Figshare · 2021
<p>Fig 2A shows the mean ± standard error of the BOLD signal (data normalized as a percentage of the mean value of each subject) recorded in the M1 of control subjects. The data recorded during the motor-task block are shown in red (grouping the 1–160 sec and 320–480 sec time-intervals). The data recorded during the resting-task block are shown in blue (grouping 160–320 sec and 480–640 sec time-intervals). Fig 2B shows a typical RP example of the M1 dynamic in control subjects. The identity line is the diagonal line which goes from the bottom-left to the top-right. The checkerboard distribution shows the limits that coincide with the task-transitions (1: motor-block and 2: resting-block). The points included in squares 3 and 4 show the functional link between the motor-block and the resting block. The initial and late responses of each block are indicated by the letters a and b, respectively.</p>
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Viani, Gustavo A, Stefano, Eduardo J, Afonso, Sérgio L et al. · Figshare · 2011
<b>Copyright information:</b>Taken from "Breast-conserving surgery with or without radiotherapy in women with ductal carcinoma in situ: a meta-analysis of randomized trials"http://www.ro-journal.com/content/2/1/28Radiation Oncology (London, England) 2007;2():28-28.Published online 2 Aug 2007PMCID:PMC1952067.
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Viani, Gustavo A, Stefano, Eduardo J, Afonso, Sérgio L et al. · Figshare · 2011
<b>Copyright information:</b>Taken from "Breast-conserving surgery with or without radiotherapy in women with ductal carcinoma in situ: a meta-analysis of randomized trials"http://www.ro-journal.com/content/2/1/28Radiation Oncology (London, England) 2007;2():28-28.Published online 2 Aug 2007PMCID:PMC1952067.
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Norbert Marwan, Kai Hauke Krämer · Zenodo (CERN European Organization for Nuclear Research) · 2022
Simple MATLAB functions for calculating recurrence plots and recurrence quantification.
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Yi Yin, Pengjian Shang · Nonlinear Dynamics · 2016
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Black Tribbles · Bulletin of Miscellaneous Information (Royal Gardens Kew) · 2014
Storm Tribble flies the ship and when she flies the ship she flies the ship RIGHT! The Tribbles welcome Andromeda Tribble herself, author RASHEEDAH PHILLIPS, in to talk about space, science and the minutes beyond documented in her new book of short stories 'Recurrence Plot' and WHILE YOU WERE SLEEPING The Fast Way by Reef The Cauz, Game of Thrones Spoilers and Hidden Human History the movie happened.
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Marwan, N., Kurths, J., Saparin, P. · Max Planck Institute for Plasma Physics · 2007
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