scholarly journals Evolutionary minimum verification error learning of the alternative hypothesis model for LLR-based speaker verification

Author(s):  
Yi-Hsiang Chao ◽  
Wei-Ho Tsai ◽  
Shih-Sian Cheng ◽  
Hsin-Min Wang ◽  
Ruei-Chuan Chang
2020 ◽  
Vol 36 (3) ◽  
pp. 500-509
Author(s):  
Hannah G. Bosley ◽  
Devon B. Sandel ◽  
Aaron J. Fisher

Abstract. Generalized anxiety disorder (GAD) is associated with worry and emotion regulation difficulties. The contrast-avoidance model suggests that individuals with GAD use worry to regulate emotion: by worrying, they maintain a constant state of negative affect (NA), avoiding a feared sudden shift into NA. We tested an extension of this model to positive affect (PA). During a week-long ecological momentary assessment (EMA) period, 96 undergraduates with a GAD analog provided four daily measurements of worry, dampening (i.e., PA suppression), and PA. We hypothesized a time-lagged mediation relationship in which higher worry predicts later dampening, and dampening predicts subsequently lower PA. A lag-2 structural equation model was fit to the group-aggregated data and to each individual time-series to test this hypothesis. Although worry and PA were negatively correlated in 87 participants, our model was not supported at the nomothetic level. However, idiographically, our model was well-fit for about a third (38.5%) of participants. We then used automatic search as an idiographic exploratory procedure to detect other time-lagged relationships between these constructs. While 46 individuals exhibited some cross-lagged relationships, no clear pattern emerged across participants. An alternative hypothesis about the speed of the relationship between variables is discussed using contemporaneous correlations of worry, dampening, and PA. Findings suggest heterogeneity in the function of worry as a regulatory strategy, and the importance of temporal scale for detection of time-lagged effects.


Author(s):  
Abdullah Farih

The objective of this study is to measure whether there is or not significant effect of teaching reading by utilizing Hot Potatoes software toward students’ reading comprehension of descriptive text. The variables used were the teaching treatment of Hot Potatoes Software as the independent variable and the students’ reading comprehension of Descriptive Text as dependent variable. Then, the research designed was Quasi-experimental design and the presentation of data used was quantitative. The data were obtained from the eleventh grade, of which 28 students were taken as sample. The students are divided into two groups; experiment group consisted of 12 students and control group consists of 16 students. To get the data, the pre-test and post-test were applied and then analyzed using t-test formula. The researcher had concluded that there is Significant effect of Hot Potatoes Software toward the students’ reading comprehension achievement. The result showed that mean of students’ post-test was increased. It is proved by the t-test (8.54) which is higher than t-table (2.05) at level of significance 5%. It means that the alternative hypothesis was accepted and it proved that Hot Potatoes Software had significant effect toward students’ reading comprehension of Descriptive Text


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