Culture and the Construal of Agency: Attribution to Individual Versus Group Dispositions

2004 ◽  
pp. 333-354
Author(s):  
Tanya Menon ◽  
Michael W. Morris ◽  
Chi-yue Chiu ◽  
Ying-yi Hong
Keyword(s):  
2013 ◽  
Author(s):  
Yueng-Hsiang Huang ◽  
Dov Zohar ◽  
Michelle Robertson ◽  
Jin Lee ◽  
Jenn Rineer ◽  
...  

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii158-ii158
Author(s):  
Nicholas Nuechterlein ◽  
Beibin Li ◽  
James Fink ◽  
David Haynor ◽  
Eric Holland ◽  
...  

Abstract BACKGROUND Previously, we have shown that combined whole-exome sequencing (WES) and genome-wide somatic copy number alteration (SCNA) information can separate IDH1/2-wildtype glioblastoma into two prognostic molecular subtypes (Group 1 and Group 2) and that these subtypes cannot be distinguished by epigenetic or clinical features. However, the potential for radiographic features to discriminate between these molecular subtypes has not been established. METHODS Radiogenomic features (n=35,400) were extracted from 46 multiparametric, pre-operative magnetic resonance imaging (MRI) of IDH1/2-wildtype glioblastoma patients from The Cancer Imaging Archive, all of whom have corresponding WES and SCNA data in The Cancer Genome Atlas. We developed a novel feature selection method that leverages the structure of extracted radiogenomic MRI features to mitigate the dimensionality challenge posed by the disparity between the number of features and patients in our cohort. Seven traditional machine learning classifiers were trained to distinguish Group 1 versus Group 2 using our feature selection method. Our feature selection was compared to lasso feature selection, recursive feature elimination, and variance thresholding. RESULTS We are able to classify Group 1 versus Group 2 glioblastomas with a cross-validated area under the curve (AUC) score of 0.82 using ridge logistic regression and our proposed feature selection method, which reduces the size of our feature set from 35,400 to 288. An interrogation of the selected features suggests that features describing contours in the T2 abnormality region on the FLAIR MRI modality may best distinguish these two groups from one another. CONCLUSIONS We successfully trained a machine learning model that allows for relevant targeted feature extraction from standard MRI to accurately predict molecularly-defined risk-stratifying IDH1/2-wildtype glioblastoma patient groups. This algorithm may be applied to future prospective studies to assess the utility of MRI as a surrogate for costly prognostic genomic studies.


1994 ◽  
Vol 134 (5) ◽  
pp. 681-694 ◽  
Author(s):  
Julie Archer-Kath ◽  
David W. Johnson ◽  
Roger T. Johnson

Evolution ◽  
2019 ◽  
Vol 73 (4) ◽  
pp. 675-688 ◽  
Author(s):  
Konstanze T. Schiessl ◽  
Adin Ross‐Gillespie ◽  
Daniel M. Cornforth ◽  
Michael Weigert ◽  
Colette Bigosch ◽  
...  
Keyword(s):  

2021 ◽  
Vol 19 (4) ◽  
Author(s):  
V.K. Tashchuk ◽  
R.A. Nesterovska ◽  
V.O. Kalarash

Purpose – to investigate the distribution of hematological indices in patients withcardiac insufficiency.Material and methods. Data of 26 case histories with diagnosis of IHD have beenanalyzed. Patients with stable angina pectoris of II-III functional class (FC), Diffusecardiosclerosis, complicated in 17 patients with syndromic manifestations of HF II-IIIFC according to New York Heart Association (NYHA), made up group 1, and 9 patientswithout CH -group 2. Of the group 1 surveyed, there were 8 men and 9 women. Ratioindex of leucocytes and erythrocyte sedimentation rate (ESR): L/ESR=L×ESR/100;Neutrophil-lymphocyte ratio index (N/Li); Lymphocyte to monocyte ratio index (Li / Mo);Lymphocyte to eosinophil index (Li/ E) was used among hematological markers.Results. Analyzing the haemogram data, it was found that group 1 patients, unlike group2 patients, had a significantly higher overall white blood cell count (7,96±1,73) × 109and (4,22 ± 0,24) × 109; p<0,05 due to the number of neutrophils (69,41 ± 6,21) % ascompared to group 2 (51,78±1,79)%; p<0,05 as well as a lower level of lymphocyteswas defined in group 1 (22,06±4,07)% versus group 2 (38,55±1,01)%; p<0,05. In genderstudies, men show elevated levels of eosinophils (4,12±0,83)%, as opposed to women(1,56±0,73) %; p<0,05 and lower level of lymphocytes (18,38±1,69)% versus (25,33±2,24)%; p<0,05 and women had a high level of total white blood cells (9,36±0,66) ×109 thanmen (6,36±0,99)×109; p<0,05, in particular lymphocytes. Analysis of hematologicalindices showed that there was a statistically significant difference in determining theN / Li index, which was increased in group 1 patients (3,28±0,78) у.о versus group 2(1,34±0,05) у.о, p<0,05.Conclusion. In gender comparisons, there is an increase in lymphocytes among womencompared to men, so we can assume that women are less susceptible to systemicinflammation. The increase in the N/Li index ratio is due to severe cardiovascularconsequences among patients with coronary heart disease complicated by heart failure.


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