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2018 ◽  
Vol 4 (59) ◽  
pp. 86-91
Author(s):  
Vladimir I. Orobinsky ◽  
◽  
Aleksandr P. Tarasenko ◽  
Natalia M. Derkanosova ◽  
Andrey S. Kornev ◽  
...  
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2016 ◽  
Vol 23 (11) ◽  
pp. 1356-1367 ◽  
Author(s):  
Sevim Berrin Inci ◽  
Melis Ipci ◽  
Ulkü Akyol Ardıç ◽  
Eyüp Sabri Ercan

Objective: The objective was to examine the frequency of comorbid disorders in children and adolescents with ADHD in Turkey and to evaluate the distribution of comorbidities according to the subtypes of ADHD and sociodemographic features. Method: The sample consisted of 1,000 children, 6 to 18 years of age, including 242 females and 758 males, from Ege University who were diagnosed with ADHD. Results: The overall prevalence rate of psychiatric comorbidity in the study was 56.3%. The most frequently observed comorbidity was oppositional defiant disorder with a rate of 37.4%. Conduct disorder, depressive disorder, obsessive-compulsive disorder, and anxiety disorder accompanied ADHD, respectively. The results revealed that 70.2% of the children with ADHD-Combine type had at least one psychiatric comorbidity. Oppositional defiant disorder, conduct disorder, depressive disorder, and obsessive-compulsive disorder accompanied ADHD-Combine type in 54.6%, 12.6%, 8.1%, and 8.8% of the participants, respectively. Conclusion: These findings provide valuable information about the comorbid disorders in children and adolescents with a very large clinical sample of ADHD children.


2012 ◽  
Vol 160 ◽  
pp. 109-114
Author(s):  
Hong Wang ◽  
Yu Qiu Liu ◽  
Li Hui Zhou

We introduce type-2 fuzzy reasoning to models of cellular automata, and combine type-2 fuzzy logic and classic cellular automata model to establish a new model of evolution reasoning, cellular automata model based on type-2 fuzzy logic. The key parts of cellular automata are transition functions and cell states. We fuzzify the transition functions of cellular automata into type-2 fuzzy rules, and cell states into type-2 fuzzy states too. Thus, we establish an improved cellular automata model based on type-2 fuzzy logic.


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