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Department: Atılım UniversityPublisher: Springer Japan Kk

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    Article
    Citation - Scopus: 1
    Adaptive Neuro-Fuzzy Inference Technique for Estimation of Light Penetration in Reservoirs
    (Springer Japan Kk, 2007) Soyupak, Selcuk; Karaer, Feza; Senturk, Engin; Hekim, Huseyin
    An adaptive neuro-fuzzy inference technique has been adopted to estimate light levels in a reservoir. The data were collected randomly from Doganci Dam Reservoir over a number of years. The input data set is a matrix with vectors of time, depth, sampling location, and incident solar radiation. The output data set is a vector representing light measured at various depths. Randomization and logarithmic transformations have been applied as preprocessing. One-half of the data have been utilized for training; testing and validation steps utilized one-fourth each. An adaptive neuro-fuzzy inference system (ANFIS) has been built as a prediction model for light penetration. Very high correlation values between predictions and real values on light measurements with relatively low root mean square error values have been obtained for training, test, and validation data sets. Elimination of the overtraining problem was ensured by satisfying close root mean square error values for all sets.
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    Citation - WoS: 14
    Citation - Scopus: 19
    Influence of Carbon Nanotube Inclusions To Electrical, Thermal, Physical and Mechanical Behaviors of Carbon-Fiber Abs Composites
    (Springer Japan Kk, 2022) Akar, Alinda Oyku; Yildiz, Umit Hakan; Tirkes, Seha; Tayfun, Umit; Hacivelioglu, Ferda
    Acrylonitrile-butadiene-styrene (ABS) terpolymer was compounded with short carbon fiber (CF) and carbon nanotube (CNT) using a micro-extruder followed by the injection molding process. Composite samples were fabricated with loading ratios of 20 wt.% CF and 0.1, 0.5 and 1.0 wt.% of CNT. Mechanical, electrical, thermo-mechanical, thermal, melt-flow, and structural investigations of ABS-based composites were conducted by performing tensile, impact, hardness, and wear tests, conductive atomic force microscopy (AFM), dynamic mechanical analysis (DMA), thermal gravimetric analysis (TGA), melt flow rate test (MFR), scanning electron microscopy (SEM) characterization techniques, respectively. According to mechanical test data of resultant composites including tensile and impact test findings, CNT additions led to the remarkable increase in tensile strength and impact resistance for CF reinforced ABS composites. The formation of synergy between CNT nanoparticles and CF was confirmed by electrical conduction results. The conductive path in ABS/CF composite system was achieved by the incorporation of CNT with different loading levels. SEM micrographs of composites proved that CNT nanoparticles exhibited homogeneous dispersion into ABS matrix for lower loadings. [GRAPHICS] .
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    Article
    Citation - WoS: 5
    Citation - Scopus: 5
    The psychometric properties of the Turkish version of the Pre-sleep Arousal Scale
    (Springer Japan Kk, 2024) Turkarslan, Kutlu Kagan; Canel cinarbas, Deniz; Nicassio, Perry M.
    PurposeThe aim of the present study was to examine the psychometric properties of the Turkish version of the Pre-sleep Arousal Scale (PSAS), which measures pre-sleep arousal, a significant predictor of insomnia symptoms.Methods651 participants were recruited via social media and the Internet. Confirmatory factor analysis was conducted in the total sample (65.28% females; M-age1 = 28.09 & PLUSMN; 14.00). Convergent, divergent, incremental, and known-groups validity and internal consistency coefficients were assessed in a subsample of 556 participants (62.77% females; M-age2 = 29.25 & PLUSMN; 14.81). A second separate sample of 88 participants (80.68% females; M-age3 = 22.19 & PLUSMN; 4.98) was used to evaluate three-week test-retest reliability.ResultsThe results of factor analysis confirmed the two-factor structure of the Turkish PSAS with cognitive (PSAS-C) and somatic (PSAS-S), similar to the original scale. The correlations of the PSAS with convergent and divergent measures showed that the Turkish form had good convergent and acceptable divergent validity. PSAS-C and PSAS-S were able to explain an 18% additional variance in insomnia severity beyond depression and anxiety, an 18% additional variance in depression beyond insomnia severity, and a 35% additional variance in anxiety beyond insomnia severity. Moreover, insomnia patients had significantly higher PSAS-C and PSAS-S scores than good sleepers. Finally, the PSAS, PSAS-C, and PSAS-S had satisfactory internal consistency coefficients (& alpha; = 0.92, 0.91, and 0.86, respectively) and three-week test-retest correlations (ICC = 0.82, 0.82, and 0.71, respectively).ConclusionThe Turkish form of the PSAS was a valid and reliable measure of pre-sleep arousal and can be utilized in sleep studies.