Yazar "Durukan, Kübra" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • Küçük Resim
    Öğe
    Effects of body mass index and adenotonsillar size on snoring sound intensity levels at highest power
    (Elsevier Ireland Ltd, 2014) Seren, Erdal; Şan, Turhan; Cingi, Cemal; Muluk, Nuray Bayar; Durukan, Kübra
    Objectives: Snoring during sleep is a major clinical symptom of adenoid and tonsil hypertrophy in paediatric patients. The aim of this study was to determine the effects of adenoid and tonsil size on snoring sound frequency and intensity in children. Methods: Twenty-seven patients with adenotonsillar hypertrophy were included the study. Adenoid size was graded from 1+ to 4+ by rigid endoscopy. Patients were staged (I-III) according to body mass index (BMI) and tonsil and adenoid size. Snoring was recorded and analysed. The analysis focused on the highest power frequency (Fmax) and snoring sound intensity levels (SSILs). Results: SSIL and Fmax values for Stage III were significantly higher than those for Stages I and II. BMI for Stage III was higher than for Stages land II, and that for Stage II was higher than for Stage I. The BMI, SSIL, and Fmax values increased at each stage and tonsil/adenoid grade. Conclusions: SSIL seems to be related to Adenoid and Tonsils size and BMI. As stage increased, both Fmax and SSILs increased proportionally. Also, Fmax values shifted to higher frequencies. Physicians and parents should be aware of snoring, and be informed that a higher frequency and intensity may be related to obesity and/or adenotonsillar hypertrophy. Snoring analysis may be a useful tool for detecting cases of Adenoid and Tonsils hypertrophy and/or upper airway obstruction during sleep. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
  • [ X ]
    Öğe
    The Interaction between Self-Esteem, Perceived Gender Discrimination and Employment Motivation: A Log-Linear Analysis
    (Lifescience Global, 2024) Durukan, Kübra; Öncel, Sevgi Yurt; Erdugan, Funda
    This study analyzes the relationships between self-esteem, perceived gender discrimination, and employment motivation. Results show that individuals not perceiving gender discrimination are 3.66 times more prevalent than those who do. Individuals who see the purpose of employment as a way to improve themselves are 1.8 times more motivated than those who want to contribute meaningfully to society. Self-improvement is a stronger motivator than contributing to society, and income-focused individuals show 2.8 times higher motivation. Those with low self-esteem aspiring to contribute to society are 2.6 times more likely to be motivated than those focusing on self-improvement. Achieving gender equality and preventing discrimination can enhance personal development and societal contributions, leading to increased individual success and social welfare. The motivations of self-development and usefulness to society make the strongest contribution to an individual’s self-esteem. These motives are related to inner satisfaction and social recognition. © 2024 Durukan et al.
  • [ X ]
    Öğe
    Using of fractional factorial design $ (r ^{k-p} )$ in data envelopment analysis to selection of outputs and inputs
    (2015) Bayrak, Hülya; Jarjies, Oday; Durukan, Kübra
    Abstract Data envelopment analysis (DEA) is a linear programming based tech- nique for measuring the relative performance of organisational units where the presence of multiple inputs and outputs makes comparisons difficult. We used, Morita and Avkiran propose after it has been de- veloped an input-output selection method that uses fractional factorial design, which is a statistical approach to find an optimal combination. Energy efficiency and greenhouse gas emissions are closely linked in the last two decades. We demonstrate the proposed method using data that increase energy efficiency and heating gas emissions in the European Union (EU) countries.