The radiation of sound waves from partially lined duct is treated by using the mode-matching method in conjunction with the Wiener-Hopf technique. The solution is obtained by modification of the Wiener-Hopf technique and involves an infinite series of unknowns which are determined from an infinite system of linear algebraic equations. Numerical solution of this system is obtained for various values of the problem parameters, whereby the effects of these parameters on the sound diffraction are studied. A perfect agreement is observed when the results of radiated field are compared numerically with a similar work existing in the literature.

Scattering of sound waves in two stepped cylindrical duct which walls are coated with different acoustically absorbent materials is investigated by using Wiener-Hopf technique directly and by determining scattering matrices. First, by using Fourier transform technique we obtain a couple of modified Wiener-Hopf equations whose solutions involve four sets of infinitely many unknown expansion coefficients providing systems of linear algebraic equations. Then we determine scattering matrices of the problem and we state the total transmitted field by using generalized scattering matrix method. Numerical results are compared for different parameters.

The third eyelid rotation associated with the nictitans gland prolapse and third eyelid cartilage eversion is a rarely encountered ocular disorder. The present retrospective study includes the distribution of the relevant deformations in the cartilage and nictitans gland accompanying the third eyelid rotation in the cat according to breed, age, and gender-based differences, as well as the clinical manifestations, surgical therapeutic approach (partial resection of the scrolled car- tilage portion combined with the Morgan pocket technique), and the outcome of the procedure, concurrently monitoring whether or not the functions of the nictitating membrane were preserved after the procedure, the likelihood of relapse and the potential complications. A total of sixteen eyes surgically treated with the above-mentioned surgical method that belonged to thirteen cats diagnosed with the nictitans gland prolapse and cartilage eversion accompanying the third eyelid rotation were included in the study. The most common breeds were Persian (38.4%) and British shorthair (38.4%), with five cases from each. Three cats (20%) were bilaterally affected, while there was a unilateral involvement in ten of the cases (80%). Out of the ten cases with a unilateral lesion, the right eye was affected in 6 (60%) individuals, while the left eye was involved in four (40%). Nine cats were male, and four were female. The study was conducted in an attempt to surgically correct the third eyelid cartilage eversion and prolapsed nictitans gland responsible for the nictitating membrane rotation in cats by the partial removal of the everted cartilage com- bined with the Morgan pocket technique. Follow-ups were performed twice every other week in the postoperative period, followed by a one-time clinical inspection at the end of the first, third, and sixth months.

Beyşehir Lake is the largest freshwater lake in the Mediterranean region of Turkey that is used for drinking and irrigation purposes. The aim of this paper is to examine the potential for data-driven methods to predict long-term lake levels. The surface water level variability was forecast using conventional machine learning models, including autoregressive moving average (ARMA), autoregressive integrated moving average (ARIMA), and seasonal autoregressive integrated moving average (SARIMA). Based on the monthly water levels of Beyşehir Lake from 1992 to 2016, future water levels were predicted up to 24 months in advance. Water level predictions were obtained using conventional time series stochastic models, including autoregressive moving average, autoregressive integrated moving average, and seasonal autoregressive integrated moving average. Using historical records from the same period, prediction models for precipitation and evaporation were also developed. In order to assess the model’s accuracy, statistical performance metrics were applied. The results indicated that the seasonal autoregressive integrated moving average model outperformed all other models for lake level, precipitation, and evaporation prediction. The obtained results suggested the importance of incorporating the seasonality component for climate predictions in the region. The findings of this study demonstrated that simple stochastic models are effective in predicting the temporal evolution of hydrometeorological variables and fluctuations in lake water levels.