Definition, Role and Method of Yinyang Pattern Differentiation

2021 ◽  
Vol 35 (2) ◽  
pp. 47-55
Author(s):  
Gyoo-yong Chi ◽  
Shin-hyung Park
Keyword(s):  
Pattern Differentiation

scholarly journals Experience-dependent hippocampal pattern differentiation prevents interference during subsequent learning

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Serra E. Favila ◽  
Avi J. H. Chanales ◽  
Brice A. Kuhl
Keyword(s):  
Subsequent Learning ◽  
Pattern Differentiation

scholarly journals Investigation of the within- and between-sample colour pattern differentiation in Hydropsyche contubernalis (Trichoptera)

1997 ◽  
Vol 61 (2) ◽  
pp. 223-241
Author(s):  
Bruno Guinand ◽  
Stéphane Champley ◽  
Annabelle Clermidy ◽  
Henri Tachet
Keyword(s):  
Colour Pattern ◽  
Pattern Differentiation

scholarly journals Pattern differentiation in co-culture biofilms formed byStaphylococcus aureusandPseudomonas aeruginosa

2011 ◽  
Vol 62 (3) ◽  
pp. 339-347 ◽  
Author(s):  
Liang Yang ◽  
Yang Liu ◽  
Trine Markussen ◽  
Niels Høiby ◽  
Tim Tolker-Nielsen ◽  
...  
Keyword(s):  
Pattern Differentiation

Comparison of Normal and Abnormal Conditions in ECG Using RR Variablity and Spectral Density

2018 ◽  
Vol 7 (2.25) ◽  
pp. 28
Author(s):  
T R. Thamizhvani ◽  
Josline Elsa Joseph ◽  
Bincy Babu ◽  
U Rithikka ◽  
D Rohini ◽  
...  
Keyword(s):  
Spectral Density ◽  
Simple Algorithm ◽  
Detailed Comparison ◽  
Frequency Component ◽  
Qrs Complex ◽  
Density Spectrum ◽  
Ecg Signals ◽  
Power Spectral ◽  
Pattern Differentiation ◽  
The Difference

Abnormality of the heart is monitored by Electrocardiograph (ECG). The ECG waveform is formed of PQRS pattern. Differentiation of the abnormalities based on the ECG signal is simple algorithm for diagnosis. ECG data of normal, atrial fibrillation and congestive heart failure is obtained from a authorized database. R peak from the QRS complex is detected using Pan-Tompkins algorithm for analysis. Mean RR and heart rate variability parameters are extracted from the QRS complex detected. With these results, the difference in the three ECG signals can be determined. For further detailed comparison, frequency component variation is analysed using power spectral density. Based on density spectrum, the differentiation of normal and abnormal ECG signals can be determined. 

FBI-1 expression in relation to clinicopathological variables in rectal cancers with a Swedish clinical trial of preoperative radiotherapy.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15102-e15102
Author(s):  
Chao-Jie Wang ◽  
Jian-Wei Zhou ◽  
Yun Zhou ◽  
Xiao-Feng Sun
Keyword(s):  
Clinical Trial ◽  
Rectal Cancer ◽  
Preoperative Radiotherapy ◽  
Disease Free Survival ◽  
Normal Mucosa ◽  
Tnm Stage ◽  
Nuclear Staining ◽  
Cytoplasmic Staining ◽  
Rectal Cancers ◽  
Pattern Differentiation

e15102 Background:FBI-1 is a recently characterized proto-oncoprotein of the POZ domain Krüppel-like (POK) family of transcription factors. Although several studies provide the evidence that FBI-1 is an important gene regulator in CRC, no analysis of any correlation between FBI-1 expression and preoperative radiotherapy (RT) has been studied in rectal cancers. Methods: This study included the patients with rectal cancer that participated in a Swedish clinical trial of preoperative RT between 1987 and 1990. Patients were divided into preoperative RT (62) and non-RT (77) groups. Applying immunohistochemstry, we detected FBI-1 expression in 118 normal mucosa, 139 primary rectal cancers, and 45 lymph node metastases, and analyzed its relationship with clinicopathological features and RT response. Results: FBI-1 was detected both in the cytoplasm and nucleus, and the cytoplasmic staining was up-regulated compared with normal mucosa both in non-RT and RT groups (74.0% vs. 17.7%, p < 0.001; 69.4% vs. 41.1%, p = 0.002), however, the nuclear staining was down-regulated compared with normal mucosa both in non-RT and RT groups (22.1% vs. 75.8%, p < 0.001; 35.5% vs. 83.9% p < 0.001). Both cytoplasmic and nuclear staining were no difference between the non-RT and RT groups (74.0% vs. 69.4%, p = 0.542; 22.1% vs. 35.5%, p = 0.080, respectively). So we combined the non-RT and RT group together for further analysis. Nuclear staining of FBI-1 was positively with TNM stage and distance recurrence, it showed higher expression in III+ IV stage than that in I+II stage (41.0% vs. 17.9%, p = 0.003). The patients with distance recurrence showed higher FBI-1 expression than that with no distance recurrence (39.7% vs. 19.8%, p = 0.010). In stage I, II and III patients, higher nuclear FBI-1 in primary cancer showed worse disease free survival (HR: 1.934; 95%CI: 1.055-3.579, p = 0.033) and overall survival (HR: 2.174; 95%CI: 1.102-4.290; p = 0.025) independent of gender, age, growth pattern, differentiation and RT. Conclusions: Higher nuclear FBI-1 is related with later TNM stage, distance recurrence, and worse prognosis, it can be used as a potential diagnostic and prognostic biomarker in rectal cancer.

scholarly journals Hierarchical non-negative matrix factorization (hNMF): a tissue pattern differentiation method for glioblastoma multiforme diagnosis using MRSI

2012 ◽  
Vol 26 (3) ◽  
pp. 307-319 ◽  
Author(s):  
Yuqian Li ◽  
Diana M. Sima ◽  
Sofie Van Cauter ◽  
Anca R. Croitor Sava ◽  
Uwe Himmelreich ◽  
...  
Keyword(s):  
Glioblastoma Multiforme ◽  
Matrix Factorization ◽  
Differentiation Method ◽  
Pattern Differentiation ◽  
Non Negative Matrix Factorization
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