WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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  • Conference Object
    Reagent-Free Urea Determination From Hemodialysis Fluid: Development of FT-IR Spectroscopic Strategies
    (Springer, 2025) Akyuz, Ersed; Tanrisev, Mehmet; Guler, Gunnur
  • Article
    Cryofixation Strategy for Fabrication of Robust Gelatin-Polyester Conductive Biocomposites
    (Taylor & Francis Inc, 2026) Koksal, Busra; Onder, Ahmet; Yildiz, Umit Hakan
    The development of mechanically robust and electroconductive biomaterials is critical for advancing tissue engineering strategies, particularly in neural, cardiac and musculoskeletal applications. Here, we report a polycaprolactone (PCL)-gelatin conductive polymer (poly(3,4-ethylenedioxythiophene):polystyrene sulfonate, PEDOT:PSS) biocomposite with tunable mechanical and electrical properties, fabricated via the cryofixation process relying on rapid reaction between isocyanate-terminated PCL, gelatin and PEDOT:PSS. Two isocyanate sources, hexamethylene diisocyanate (HDI) or isophorone diisocyanate (IPDI) were employed to obtain reactive end-functionalized PCLHDI and PCLIPDI. The cryofixation (at -18 degrees C) of PCLHDI or PCLIPDI, gelatin and PEDOT:PSS was found to occur in unfrozen microdomains and enabled the resultant gel with an inherited network of ice, thereby increasing porosity. Electroconductivity was introduced via the incorporation of PEDOT:PSS, yielding conductive cryogels with porous morphology. The resulting scaffolds exhibited a Young's modulus of 637 Pa and electrical conductivity of 197 mu S/cm, alongside biocompatible nature of gelatin-based gels. This multifunctional platform offers significant promise for the engineering of electrically active tissues.
  • Article
    FW-S3PFCM: Feature-Weighted Safe-Semi Possibilistic Fuzzy C-Means Clustering
    (Springer, 2026) Khezri, Shirin; Aghazadeh, Nasser; Hashemzadeh, Mahdi; Golzari Oskouei, Amin
    The safe semi-supervised fuzzy c-means clustering (S3FCM) method is a well-known clustering method that can produce successful results by incorporating prior knowledge of the class distribution. Its process is fast and simple but still has two limitations. The first issue is that it gives equal weight to all data features, while in real-world applications, different features usually have different importance. Secondly, S3FCM is very sensitive to noise and outliers. This paper proposes an extension of the S3FCM, entitled FW-S3PFCM, to mitigate these shortcomings. The proposed method uses a local feature weighting scheme to consider the different feature weights in the clustering process. Additionally, a possibilistic version of the S3FCM is designed to reduce the sensitivity to noise and outliers. The effectiveness of the proposed method is comprehensively evaluated on various benchmark datasets, and its performance is compared with the state-of-the-arts methods. To practically asses the FW-S3FCM, a real-world dataset of brain MRI images and its segmentation performance are analyzed as well. The average Accuracy, F1-score, Sensitivity, and Precision measures obtained by FW-S3FCM are 0.9682, 0.9826, 0.9743, and 0.9925, respectively, which are better than the competitors' performance.
  • Article
    Alterations in Secondary Lipids Are Associated with Neuroinflammation in the Brain of Neu1-Deficient Mice
    (Springer, 2026) Ada, Ebru; Seyrantepe, Volkan
    Neu1 (lysosomal sialidase 1) is essential for removing sialic acid from oligosaccharides and glycoconjugates. Neu1 deficiency impairs lysosomal digestion, leading to sialidosis and sialoglycoprotein accumulation. It also increases lipids, including gangliosides GM3, GD3, GM4, and LM1, in the kidney, liver, and spleen. Neu1-/- mice display symptoms resembling Type II sialidosis, including enlarged spleen and liver, kidney issues, neurological problems, spinal defects, and oligosaccharide buildup. The study examined secondary lipid alterations and inflammation in the cortex and cerebellum of these mice. Lipidomic, molecular, and immunohistochemical analyses of tissues from 2 and 5 M Neu1-/- mice revealed reduced levels of lipids, including PC, PE, PS, and CL, along with increased pro-inflammatory cytokines and loss of oligodendrocytes and neurons. Signs of astrogliosis and microgliosis emerged in specific brain regions. These results indicate that reduced levels of glycerophospholipids could serve as an indicator of inflammation in sialidosis mice. Future research should investigate therapies targeting these lipid changes, as modulating glycerophospholipids might slow disease progression in sialidosis patients.
  • Article
    Robust Scheduling of Crude Oil Farming and Processing Under Uncertainty
    (Elsevier, 2026) Yalcin, Damla; Sildir, Hasan
    The sulphur content in crude oil has a significant impact on refinery operations, influencing the feasibility of crude blending, the distribution of product yields, and overall economic performance. Variations in sulphur content introduce uncertainty in the short-term scheduling of crude oil loading, blending, and distillation processes. This study introduces a scenario-based stochastic optimization framework in which sulphur uncertainty is treated as a central modeling element, represented through a regression-based relationship with specific gravity (SG). The approach systematically propagates uncertainty through blending decisions, crude distillation unit (CDU) feed composition, and product yields. The problem is modeled as a mixed-integer quadratically constrained programming (MIQCP) formulation within a continuous-time scheduling framework, enabling the simultaneous optimization of timing, blending, and processing strategies. The results indicate that increased sulphur uncertainty adversely affects the distribution of yields for nine end-products, resulting in profit losses. These findings underscore the importance of explicitly managing compositional uncertainty and provide insights into cost-performance trade-offs in refinery scheduling.
  • Article
    Mn2+ Removal From Water Using a Strong Acidic Shallow Shell Resin: Performance and Response Surface Optimization
    (Springer, 2026) Gucur, G.; Recepoglu, Y. K.; Ozcan, D. O.; Arar, O.
    The removal of manganese ions (Mn2+) from aqueous solutions using a strong acid cation-exchange resin, Purolite SST60, was investigated in the present study. The influences of resin dosage, temperature, and pH on Mn2(+) removal were optimized using Response Surface Methodology based on a Central Composite Design. Results showed that removal efficiency was highly pH-dependent, increasing from 63% at pH 1.0 to over 99% at pH 3.0 and above. Even with only 0.01 g of resin, 98% removal was achieved, indicating high performance at low dosages. Equilibrium data aligned with the Langmuir isotherm, indicating monolayer sorption with a maximum capacity of 91.06 mg/g. Kinetic data followed a pseudo-second-order model. Thermodynamic analysis confirmed a spontaneous and exothermic process, supported by a negative enthalpy change and positive entropy change, likely due to dehydration of Mn2+ ions upon binding. Competitive ion studies revealed that divalent ions, particularly calcium and magnesium, significantly hinder Mn2+ removal, whereas monovalent ions had minimal impact. Complete desorption of Mn2+ was achieved using hydrochloric or nitric acid at concentrations of 0.5 mol/L and above, confirming the resin's reusability. Overall, Purolite SST60 offers an efficient, regenerable, and robust solution for manganese removal in water treatment applications.
  • Article
    Triple Helix Spaces: A Tale of Three Helices
    (Routledge Journals, Taylor & Francis Ltd, 2025) Kose, Suheda; Elburz, Zeynep; Velibeyoglu, Koray; Oner, Asli Ceylan
    In recent years, the Triple Helix model has gained prominence within academic circles. This study, situated in the field of city planning, aims to clarify the model's theoretical foundations, evaluate its measurement techniques, and explore the relationship between the Triple Helix and urban space. By examining 231 Triple Helix-related publications from the past 40 years (up to 12 July 2024, sourced from the Web of Science Core Collection), we propose a framework of three distinct generations for understanding Triple Helix spaces in urban contexts. The first-generation Triple Helix space is characterized by direct interactions among the three primary actors: university, industry, and government. The second-generation expands on this by including multiple interactions among the three main actors and their facilitators. The third-generation involves the circular interaction of multiple second-generation Triple Helix spaces. Across these generations, the study provides a lens for analyzing innovative urban spaces through Triple Helix interactions and offers practical approaches for examining the Triple Helix spaces. The findings also contribute to the theoretical foundation for the sustainable development of such spaces.
  • Article
    Mass Spectrometric Profiling Reveals Alterations in N-Glycans and O-Glycans in Tay-Sachs Disease Under Autophagy-Induced Conditions
    (Springer, 2025) Can, Melike; Basirli, Hande; Jin, Chunsheng; Karlsson, Niclas G.; Bojar, Daniel; Seyrantepe, Volkan
    Tay-Sachs disease is a rare neurodegenerative disorder caused by mutations in the HEXA gene. The HEXA gene encodes the alpha-subunit of the enzyme beta-hexosaminidase A, which degrades GM2 ganglioside. Previously, we identified impaired autophagy in the brains of a mouse model of Tay-Sachs disease, which exhibited neuropathological and clinical abnormalities. Moreover, we demonstrated autophagosome clearance in Tay-Sachs cells under lithium-induced conditions. Here, we further aimed to evaluate N- and O-glycan changes in these cells and examine whether glycan alterations are linked to ER stress. The profiles of N- and O-glycans were analyzed using LC-MS/MS in fibroblasts and neuroglial cells from 5-month-old Hexa-/-Neu3-/- mice and neuroglial cells from Tay-Sachs patients under lithium induction and nutrient deprivation. The expression levels of ER stress-related markers were assessed using qRT-PCR and Western blot analyses. We demonstrated higher levels of high mannose and lower levels of complex types of N-glycans, along with increased O-glycan levels in Tay-Sachs cells. Compared to control groups, we observed upregulated expression of endoplasmic reticulum (ER) stress-related markers, CHOP and ATF-6, in Tay-Sachs cells. Our study demonstrated that autophagy induction causes the degradation of accumulated high-mannose N-glycans and O-glycans, which is associated with the downregulation of ER stress-related genes in Tay-Sachs cells. Our study is the first to show this phenomenon in Tay-Sachs cells and suggests the presence of ER stress-mediated autophagy. Therefore, targeting glycans through autophagy induction could offer therapeutic benefits to patients with Tay-Sachs disease in future studies.
  • Article
    An Effective Legendre Wavelet Technique for the Time-Fractional Fisher Equation
    (Univ Tabriz, 2026) Idiz, Fatih; Tanoglu, Gamze; Aghazadeh, Nasser; Mohammadi, Amir
    This study modifies the time-fractional Fisher equation by adding a source term and generalizing the non-linear power to an arbitrary order. A numerical technique is proposed for the modified time-fractional Fisher equation using Legendre wavelets and the quasilinearization technique. The non-linear term is iteratively linearized using the quasilinearization technique. The convergence analysis and error estimates of the proposed method are studied. Several test problems are solved using the proposed technique, and numerical outcomes are contrasted with those obtained using some other approaches existing in the literature.