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Öğe The effect of age and gender on the acoustic analysis of anxious sound(Inst Advanced Science Extension, 2016) Ozseven, Turgut; Dugenci, Muharrem; Doruk, AliThe aim of this study is to investigate the effects of age and gender in sound reflection of anxiety with acoustic analysis. In the study, 148 speech records that express the emotions of the actors as anxiety and neutral were used as the data set. PRAAT software is used for acoustic analysis. The ANOVA method was used to analyze the data. The according to the results of statistical analysis, gender and age increased the count of acoustic parameters that affected of anxiety. The standard deviation of F0 increased too much, jitter local and jitter rap increased mid-range and other parameters did not change when examined changes based gender. The mean of F0, shimmer apq3 and number of unvoiced frame decreased to mid-range, the standard deviation of F0 and jitter local increased too much, the standard deviation of F3 and jitter rap increased to mid-range and other parameters did not change when examined changes based age. The changes occurring in emotions cause changes in sound by affecting respiratory and muscle tension. The anxiety has been changed according to gender and age because the number of parameters in the analysis based on the gender and age is more. The gender causes change in the speed of glottic cycle and this change increases with anxiety. In addition, vocal cords by both male and female occur irregularities and this case also differs according to age. The irregularities in intensity of sound in lower ages are being further while the pauses in the conversation with advancing age are increasing. (C) 2016 The Authors. Published by IASE. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Öğe Genç sağlıklı bireylerde belirsizliği tolere edememe ve baş etme mekanizmaları(2015) Doruk, Ali; Dügencı, Muharrem; Ersöz, Filiz; Öznur, TanerAmaç: Bu çalışmada, aynı yaş ve eğitim seviyesindeki klinik dışı örneklemde belirsizliği tolere edememe ve başetme mekanizmaları arasındaki ilişkiyi araştırmayı amaçladık Yöntem: Başetme mekanizmalarını ölçmek için başetme mekanizmaları ölçeği (COPE) ve belirsiz durumları ölçmek için de belirsizliği tolere ede-meme ölçeğini uyguladık.Bulgular: Belirsiz durumlarda eyleme geçememe kız öğrencilerde erkek öğrencilere gore daha fazla bulundu. Kız öğrenciler daha çok planlama, sosyal destek kullanımı, yeniden yorumlama, dini olarak başa çıkma, duy-gusal sosyal destekleri kullanma, soruna odaklanma ve zihinsel olarak boş verme mekanizmalarını kullanırken, erkek öğrenciler şakaya vurma, inkar etme ve alkol-madde kullanarak başetme makanizmalarını tercih etmek-teydi. Psikolojik sorun tanımlayan bireylerde belirsizliği tolere edememe daha yüksek bulundu. Bu bireyler aynı zamanda, geri durma kabullenme, davranışsal olarak boşverme ve alkol-madde kullanım mekanizmalarını daha fazla kullanmaktaydı.Sonuç: Bulgularımız, belirsiz durumlara yanıt vermede cinsiyet açısından farklılıklar görüldüğünü göstermektedir.Öğe Intolerance of Uncertainty and Coping Mechanisms in Nonclinical Young Subjects(Turkish Neuropsychiatry Assoc-Turk Noropsikiyatri Dernegi, 2015) Doruk, Ali; Dugenci, Muharrem; Ersoz, Filiz; Oznur, TanerIntroduction: We aimed to explore the relationship between intolerance of uncertainty (IU) and coping mechanisms in a nonclinical sample with the same age and educational level. Methods: The Coping Orientations to Problems Experienced (COPE) scale was used to evaluate the coping mechanisms. The IU scale was used to evaluate IU situations. Results: We found that the negative impact of uncertainty on the action in female students was greater than males. While female students used more planning, instrumental support, reinterpretation, religion, emotional support, venting, and mental disengagement coping styles, male students used more humor, denial, and alcohol/drug abuse coping styles. Subjects with psychological problems had higher IU scores and used some more coping mechanisms (restraint, acceptance, behavioral disengagement, and alcohol/drug abuse) than the others. Conclusion: Our results suggest that healthy subjects use different coping styles and respond differently to uncertainty in both genders.Öğe Voice Traces of Anxiety: Acoustic Parameters Affected by Anxiety Disorder(Polska Akad Nauk, Polish Acad Sciences, Inst Fundamental Tech Res Pas, 2018) Ozseven, Turgut; Dugenci, Muharrem; Doruk, Ali; Kahraman, Hilal I.Although the emotions and learning based on emotional reaction are individual-specific, the main features are consistent among all people. Depending on the emotional states of the persons, various physical and physiological changes can be observed in pulse and breathing, blood flow velocity, hormonal balance, sound properties, face expression and hand movements. The diversity, size and grade of these changes are shaped by different emotional states. Acoustic analysis, which is an objective evaluation method, is used to determine the emotional state of people's voice characteristics. In this study, the reflection of anxiety disorder in people's voices was investigated through acoustic parameters. The study is a case-control study in cross-sectional quality. Voice recordings were obtained from healthy people and patients. With acoustic analysis, 122 acoustic parameters were obtained from these voice recordings. The relation of these parameters to anxious state was investigated statistically. According to the results obtained, 42 acoustic parameters are variable in the anxious state. In the anxious state, the subglottic pressure increases and the vocalization of the vowels decreases. The MFCC parameter, which changes in the anxious state, indicates that people can perceive this situation while listening to the speech. It has also been shown that text reading is also effective in triggering the emotions. These findings show that there is a change in the voice in the anxious state and that the acoustic parameters are influenced by the anxious state. For this reason, acoustic analysis can be used as an expert decision support system for the diagnosis of anxiety.