scholarly journals Long-term p21 and p53 trends regulate the frequency of mitosis events and cell cycle arrest

2021 ◽  
Author(s):  
Anh Phong Tran ◽  
Christopher J. Tralie ◽  
Caroline Moosmüller ◽  
Zehor Belkhatir ◽  
José Reyes ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dynamic Time Warping ◽  
Time Warping ◽  
Biological Mechanisms ◽  
Term Trend ◽  
X Ray ◽  
Cycle Arrest ◽  
Dynamic Time ◽  
Long Term Trend

Radiation exposure of healthy cells can halt cell cycle temporarily or permanently. In this work, two single cell datasets that monitored the time evolution of p21 and p53, one subjected to gamma irradiation and the other to x-ray irradiation, are analyzed to uncover the dynamics of this process. New insights into the biological mechanisms were found by decomposing the p53 and p21 signals into transient and oscillatory components. Through the use of dynamic time warping on the oscillatory components of the two signals, we found that p21 signaling lags behind its lead signal, p53, by about 3.5 hours with oscillation periods of around 6 hours. Additionally, through various quantification methods, we showed how p21 levels, and to a lesser extent p53 levels, dictate whether the cells are arrested in their cell cycle and how fast these cells divide depending on their long-term trend in these signals.

scholarly journals Relations between photospheric structure and X-ray emission

1996 ◽  
Vol 176 ◽  
pp. 477-484
Author(s):  
M. Kürster
Keyword(s):  
Active Regions ◽  
Light Curves ◽  
Coronal Emission ◽  
Term Trend ◽  
X Ray ◽  
V Band ◽  
Subsequent Rise ◽  
Long Term Trend ◽  
Rise Phase

The relation between photospheric and coronal active regions in late–type stars is studied from two different points of departure. First, I report on 5 years of ROSAT X–ray monitoring of the active young K–star AB Dor. I compare the X–ray data with 16 years of V–band brightness monitoring showing a 10–year decline between 1978 and 1989 and a subsequent rise phase. Quite differently, the X–ray flux of AB Dor (while exhibiting strong variability on time scales of minutes to weeks) reveals no pronounced long–term trend over the 5 years of the program. This supports the concept of a saturated corona. Second, I present rotationally modulated ROSAT X–ray light curves of three active stars (AB Dor, CF Tuc, YY Men) and compare them with contemporaneous Doppler images. I demonstrate that it is possible to explain the X–ray light curves by coronal emission regions that are spatially related with photospheric active regions. I discuss the concept of X–ray bright loops connecting the major star spot complexes.

Multi-current X-ray Projection Fusion Method Based on Dynamic Time Warping

2017 ◽  
Vol 46 (1) ◽  
pp. 112002
Author(s):  
张翔 ZHANG Xiang ◽  
闫镔 YAN Bin ◽  
李磊 LI Lei ◽  
连敬东 LIAN Jing-dong ◽  
席晓琦 XI Xiao-qi ◽  
...  
Keyword(s):  
Dynamic Time Warping ◽  
Fusion Method ◽  
Time Warping ◽  
X Ray ◽  
Ray Projection ◽  
Dynamic Time

scholarly journals LTSD and GDMD features for Telephone Speech Endpoint Detection

2017 ◽  
Vol 17 (4) ◽  
pp. 114-133
Author(s):  
Atanas Ouzounov
Keyword(s):  
Dynamic Time Warping ◽  
Group Delay ◽  
Speaker Verification ◽  
Endpoint Detection ◽  
Time Warping ◽  
Adaptive Thresholds ◽  
Telephone Speech ◽  
Dynamic Time ◽  
Speech Endpoint Detection

AbstractThis paper proposes a new contour-based speech endpoint detector which combines the log-Group Delay Mean-Delta (log-GDMD) feature, an adaptive twothreshold scheme and an eight-state automaton. The adaptive thresholds scheme uses two pairs of thresholds - for the starting and for the ending points, respectively. Each pair of thresholds is calculated by using the contour characteristics in the corresponded region of the utterance. The experimental results have shown that the proposed detector demonstrates better performance compared to the Long-Term Spectral Divergence (LTSD) one in terms of endpoint accuracy. Additional fixed-text speaker verification tests with short phrases of telephone speech based on the Dynamic Time Warping (DTW) and left-to-right Hidden Markov Model (HMM) frameworks confirm the improvements of the verification rate due to the better endpoint accuracy.

ON THE SEGMENTATION AND CLASSIFICATION OF HAND RADIOGRAPHS

2012 ◽  
Vol 22 (05) ◽  
pp. 1250020 ◽  
Author(s):  
LUKE M. DAVIS ◽  
BARRY-JOHN THEOBALD ◽  
JASON LINES ◽  
ANDONI TOMS ◽  
ANTHONY BAGNALL
Keyword(s):  
Predictive Models ◽  
Dynamic Time Warping ◽  
Bone Age ◽  
Ratio Test ◽  
Time Warping ◽  
X Ray ◽  
Ensemble Algorithm ◽  
Dynamic Time ◽  
Hand Radiographs

This research is part of a wider project to build predictive models of bone age using hand radiograph images. We examine ways of finding the outline of a hand from an X-ray as the first stage in segmenting the image into constituent bones. We assess a variety of algorithms including contouring, which has not previously been used in this context. We introduce a novel ensemble algorithm for combining outlines using two voting schemes, a likelihood ratio test and dynamic time warping (DTW). Our goal is to minimize the human intervention required, hence we investigate alternative ways of training a classifier to determine whether an outline is in fact correct or not. We evaluate outlining and classification on a set of 1370 images. We conclude that ensembling with DTW improves performance of all outlining algorithms, that the contouring algorithm used with the DTW ensemble performs the best of those assessed, and that the most effective classifier of hand outlines assessed is a random forest applied to outlines transformed into principal components.

NAEP Trends: Main NAEP vs. Long-Term Trend

2010 ◽  
Author(s):  
Albert E. Beaton ◽  
James R. Chromy
Keyword(s):  
Term Trend ◽  
Long Term Trend
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