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Book Part Citation - Scopus: 2Hydrogen Generation From Food Industry and Biodiesel Wastes(Elsevier Inc., 2013) Nishio,N.; Nakashimada,Y.[No abstract available]Article Catalyst-Free Synthesis of Thiourea-Linked Dumbbell-Shaped POSS for Ultrasensitive Determination of Prilocaine in Human Blood with Computational Insights(Elsevier Inc., 2026) Bilge, S.; Bayraktar, E.N.; Erkmen, C.; Balci, B.; Abofoul, A.; Içli-Özkut, M.I.; Cihaner, A.Although various electrochemical sensors have been reported for the determination of local anesthetic drugs, most existing platforms suffer from limited sensitivity, insufficient surface stability, or inadequate electron-transfer efficiency, particularly when applied to complex biological matrices. Moreover, the potential of hybrid polyhedral oligomeric silsesquioxane (POSS)-based nanostructures combined with metal oxide nanoparticles for improving electroanalytical performance has not yet been thoroughly explored. In this study, a high-sensitivity electrochemical nanosensor was developed for the determination of prilocaine (PC), an amide-type local anesthetic, using a glassy carbon (GC) electrode modified with POSS‑titanium dioxide (TiO2) nanoparticles (Nps). The combination of modifications provided a unique electrode surface by combining the high stability of POSS with the strong adsorption properties of TiO2 Nps, thereby increasing both surface loading and adsorption capacity. To elucidate the structure of the modification combination, 1H and 13C nuclear magnetic resonance (NMR) and Fourier transform infrared (FTIR) spectroscopic techniques, as well as Brunauer–Emmett–Teller (BET), X-Ray diffraction (XRD), Electrochemical impedance spectroscopy (EIS), and high-resolution transmission electron microscopy (HRTEM) analysis techniques were used, respectively. The analytical performance of the developed nanosensor was systematically optimized using differential pulse voltammetry (DPV), adsorptive stripping differential pulse voltammetry (AdSDPV), square wave voltammetry (SWV), and adsorptive stripping square wave voltammetry (AdSSWV) techniques. As a result of the optimization studies, the lowest limit of detection (LOD) was 3.66 × 10−8 M with the AdSSWV technique. DFT results corroborated the mechanism, indicating ring-centered electron donation (HOMO) and adsorption-favored N/O regions (MEP). Low LOD values were also recorded with other techniques, demonstrating the method's high sensitivity in analyte detection. In real sample analysis tests, PC recovery value in human blood samples was determined to be 98.69% using the AdSDPV technique. Despite the matrix effect, the nanosensor demonstrated high accuracy and reproducibility. The results indicate that the developed POSS-TiO2 Nps modified GC electrode sensor offers a high-performance, reliable, and good electrochemical detection platform suitable for use in biological and clinical applications. © 2024Article A Stochastic Programming Framework for Pricing and Market Share Optimization in Retail Systems(Elsevier Inc., 2025) Sütçü, M.; Yıldız, B.This study examines a scenario where a manufacturer owns one retailer and collaborates with an independent retailer to sell a single product with Poisson demand over a multi-period selling horizon. The manufacturer protects the independent retailer's profitability through price protection and mid-life and end-of-life return opportunities. The retailers are allowed to place replenishment orders throughout the selling horizon. The manufacturer-controlled and independent retailers manage their stocks through order-up-to policies and hybrid policies comprising order-up-to and dispose-down-to policies, respectively. We employ stochastic programming techniques to construct models to determine the manufacturer's optimal pricing strategy. Retail Fixed Markdown (RFM) policy is assumed to determine the retail price at which the independent retailer sells the product. We also consider the impact of retail prices on the retailers’ market shares, which influence the mean demand observed by each retailer. We propose a modified version of the Stochastic Dual Dynamic Programming (SDDP) algorithm to determine the manufacturer's approximately optimal pricing strategy. Then, we examine how price protection contract parameters affect the manufacturer's approximately optimal pricing strategy and the retailers’ expected total profits. We also make comments on the selection of ideal values for the parameters. © 2025 The Author(s)
