WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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

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Now showing 1 - 10 of 84
  • Article
    Citation - WoS: 1
    Modules Whose Maximal Submodules Have Τ-Supplements
    (Luhansk Taras Shevchenko Natl Univ, 2010) Buyukasik, Engin
    Let R be a ring and tau be a preradical for the category of left R-modules. In this paper, we study on modules whose maximal submodules have tau-supplements. We give some characterizations of these modules interms their certain submodules, so called tau-localsubmodules. For some certain preradicals tau, i.e. tau=delta and idempotent tau, we prove that every maximal submodule of M has a tau-supplement if and only if every cofinite submodule of M has a tau-supplement. For a radical tau onR-Mod, we prove that, forevery R-module every submodule is a tau-supplement if and only if R/tau(R) is semisimple and tau is hereditary
  • Conference Object
    Citation - Scopus: 1
    FBG-Based Temperature and Fire Sensors for Use in Industrial Microwave Ovens
    (SPIE, 2025) Yuksel, K.; Merdin, O. D.; Kinet, D.; Merdin, M.; Guyot, C.; Caucheteur, C.
    Industrial microwave-heating systems play a crucial role in sectors such as food processing and materials manufacturing, where precise temperature control and safety are paramount. However, traditional systems often face challenges like uneven heat distribution and elevated fire risks due to the inherent characteristics of microwave heating. This study introduces a fiber-optic sensor-based monitoring system designed to address these critical issues. The system features an advanced fiber-optic sensor capable of 2D temperature distribution monitoring and a specialized fire detection mechanism, both aimed at significantly reducing risks and improving the heating process. Experimental results demonstrate the potential for transformative advancements in industrial heating technologies, paving the way for enhanced process efficiency and safety.
  • Article
    Assessment of Cytotoxic Potentials of Isoindole-Derived Compounds With Epoxy Alcohol Functionalities on Different Cancer Cell Lines and Molecular Docking Analysis
    (Maik Nauka/Interperiodica/Springer, 2025) Yetiskin, Egehan; Gundogdu, Ozlem; Mete, Derya; Kishali, Nurhan H.; Kara, Yunus; Sanli-Mohamed, Gulsah
    Objective: Isoindoline and epoxycyclohexane derivatives are known to exert beneficial effects on various inflammatory pathologies, including cancer. This study uniquely evaluates the cytotoxic potential of four synthesized isoindoline derivatives against five different cancer cell lines. Methods: Cancer cell lines were treated with varying concentrations of each derivative and incubated for 24, 48, and 72 h. Cytotoxicity was assessed via cell growth inhibition assays and cell membrane damage tests. Additionally, molecular docking studies were conducted to examine the interaction of the compounds with key cancer-related proteins: human tankyrase 1, c-MET, estrogen receptor alpha, androgen receptor, and EGFR. Results and Discussion: The epoxy alcohol derivatives demonstrated a dose-dependent cytotoxic effect, inhibited cell proliferation, and induced membrane damage in adenocarcinoma cell lines. Apoptosis rates and in vitro wound healing assays further supported their antiproliferative potential. Conclusions: These findings suggest that epoxy isoindole derivatives may serve as promising anticancer agents for the treatment of cervical, lung, prostate, and breast cancers due to their cytotoxic and antiproliferative activities. Molecular docking results corroborated their potential mechanism of action.
  • Article
    Understanding the Synthesis Mechanism of Arginine Functionalized Silver/Silver Chloride Nanoparticles Using Sugar Ligands
    (Elsevier, 2025) Bolat, Suheda; Degirmenci, Suna; Gumus, Abdurrahman; Sancak, Zafer; Yazgan, Dris
    In this study, we performed a mechanistic study to understand how the sugar ligand chemistry affected the morphology, size and surface chemistry of Ag/AgCl_NPs synthesized in the presence of L-Arginine hydrochloride and L-Arginine/KCl mixture. The sugar ligands Lactose p-methoxyaniline (LMA) and Galactose 5-aminosalicylic acid (G5AS) resulted in formation of sheet-like Ag/AgCl_NPs while Lactose sulfanilic acid (LSA) and Lactose psulfonyldianiline (LPSA) caused the formation of anisotropic and film-like Ag/AgCl_NPs. The UV-Vis based mechanistic studies showed that the presence of Arginine posed a strong effect on how G5AS and LMA ligands interact with silver ions while the effect was more complicated for the LSA and LPSA ligands due to the fact that they form complexation with Ag+ ions. The mechanism was further investigated using infrared (IR) studies that showed the increases in Argine and chloride ion concentrations resulted in differentiation of the surface chemistry of the Ag/AgCl_NPs, and appearance of Arginine related IR bands became clearer in the case of cointroduction of Arginine and the sugar ligands. The characterized nanoparticles were then used as antibacterial agent for multidrug resistant Escherichia coli species for which less than 10 mu M minimum inhibitory concentrations were obtained. The promising antibacterial activity, which could be assigned to the presence of Arginine, was independent from the sugar ligand chemistry and nanoparticles' morphology and size. Particularly, large Ag/AgCl_NP film forming capacity can call further research to be exploited as coating materials for antibacterial application.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 6
    Hydrocolloids for Tissue Engineering and 3d Bioprinting
    (World Scientific Publ Co Pte Ltd, 2024) Yildirim-Semerci, Ozum; Onbas, Rabia; Bilginer-Kartal, Rumeysa; Arslan-Yildiz, Ahu
    Hydrocolloids, derived from plants, marine, and microbial sources, have become research favorites due to their unique properties. This article provides an overview of the extraction methods, from chemical to enzymatic, to obtain hydrocolloids. Distinctive properties of hydrocolloids, such as high swelling capacity, tunable features, and rapid gelation ability, have gained significant attention recently and have started to be used in tissue engineering and 3D bioprinting. Hydrocolloids will play substantial roles in advancing biomedical products and contributing to improving human health.
  • Article
    Poly(Ethylene Glycol)-Keratin Hydrogels Prepared Via Thiol-Maleimide Reaction
    (Polymer Soc Korea, 2025) Yalcin, Damla; Top, Ayben
    The mechanical properties of hydrogels have a profound effect on cellular responses in tissue engineering applications. In this study, poly(ethylene glycol)-keratin (PEG-KRTN) hydrogels with tunable mechanical properties were prepared by varying molar mass of the maleimide functionalized PEG in the thiol-maleimide chemistry. Reduced keratins were reacted with PEG-maleimides having 2000 Da and 6000 Da molar masses. Viscoelastic and physiochemical properties and cytocompatibility of these hydrogels were tested. Storage modulus values were obtained as 2613 +/- 254 Pa and 1313 +/- 345 Pa for PEG2000-KRTN and PEG6000-KRTN hydrogels, respectively. Strain sweep data indicate that the linear viscoelastic region (LVER) of the PEG6000-KRTN hydrogel spans up to 40% strain value, whereas it is limited to 10% critical strain for the PEG2000-KRTN hydrogel. PEG6000-KRTN hydrogel presented higher swelling ratios and porosity. CCK-8 test showed that both hydrogels promoted the proliferation of L929 mouse fibroblast cells and, hence, can be applied in soft tissue engineering.
  • Article
    Investigation of the Effect of Solar Energy Use in Buildings on Reducing Carbon Dioxide Emissions
    (Inderscience Enterprises Ltd, 2025) Hancioglu, Ebru
    The aim of this study was to examine the reduction in CO2 emissions by using solar modules. In the article, the energy analysis of Narldere Nursing Home and Rehabilitation Centre (NNHRM) an exemplary public building in Izmir, was discussed. In this study, it was determined that if 1,500 kWp PV Panels were used, approximately 63.58% of the facility's electricity needs would be met by PV panels. It was revealed that by using the use of PV panels, an improvement of 6.98% in primary energy, 12.27% in CO2 emissions and 7.51% in PER would be achieved. The repayment period is calculated as 7.1 years.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 5
    Predicting Software Functional Size Using Natural Language Processing: an Exploratory Case Study
    (IEEE, 2024) Unlu, Huseyin; Tenekeci, Samet; Ciftci, Can; Oral, Ibrahim Baran; Atalay, Tunahan; Hacaloglu, Tuna; Demirors, Onur
    Software Size Measurement (SSM) plays an essential role in software project management as it enables the acquisition of software size, which is the primary input for development effort and schedule estimation. However, many small and medium-sized companies cannot perform objective SSM and Software Effort Estimation (SEE) due to the lack of resources and an expert workforce. This results in inadequate estimates and projects exceeding the planned time and budget. Therefore, organizations need to perform objective SSM and SEE using minimal resources without an expert workforce. In this research, we conducted an exploratory case study to predict the functional size of software project requirements using state-of-the-art large language models (LLMs). For this aim, we fine-tuned BERT and BERT_SE with a set of user stories and their respective functional size in COSMIC Function Points (CFP). We gathered the user stories included in different project requirement documents. In total size prediction, we achieved 72.8% accuracy with BERT and 74.4% accuracy with BERT_SE. In data movement-based size prediction, we achieved 87.5% average accuracy with BERT and 88.1% average accuracy with BERT_SE. Although we use relatively small datasets in model training, these results are promising and hold significant value as they demonstrate the practical utility of language models in SSM.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Towards the Construction of a Software Benchmarking Dataset Via Systematic Literature Review
    (IEEE, 2024) Yurum, Ozan Rasit; Unlu, Huseyin; Demirors, Onur
    Effort estimation is a fundamental task during the planning of software projects. Prediction models usually rely on two essential factors: software size and effort data. Measuring the size of the software can be done at various stages of the project with desired accuracy. Nevertheless, the industry faces challenges when it comes to collecting reliable actual effort data. Consequently, organizations encounter difficulties in establishing effort prediction models. Benchmarking datasets are available, but, in most cases, they have huge variances that make them less useful for effort prediction. In this study, we aimed to answer whether creating a software benchmarking dataset is possible by gathering the data from the literature. To the best of our knowledge, a comprehensive dataset that gathers the functional size and effort data of the studies from the literature is unavailable. For this purpose, we performed a systematic literature review to find studies that include projects measured with the COSMIC Functional Size Measurement (FSM) method and the related effort. As a result, we formed a dataset including 337 records from 18 studies that shared the corresponding size and effort data. Although we performed a limited search, we created a larger dataset than many datasets in the literature. In light of our review, we obtained that most studies did not share their dataset, and many lacked case details such as implementation environment and the scope of software development life cycle activities included in the effort data. We also compared the dataset with the ISBSG repository and found that our dataset has less variation in productivity. Our review showed the applicability of creating a software benchmarking dataset is possible by gathering the data from the literature. In conclusion, this study addresses gaps in the literature through a cost-free and easily extendable dataset.
  • Article
    Cx32 Cellular Localization Is Related To Epithelial To Mesenchymal Transition in Breast Cells
    (Pleiades Publishing inc, 2025) Oz, Sercan; Turan, Fatma Basak; Yondem, Eyup; Pesen-Okvur, Devrim; Yalcin-Ozuysal, Ozden; Ozcivici, Engin; Mese, Gulistan
    Connexins (Cx) play both gap junction-related and -independent roles in cells, and their localization is essential for their function in cellular processes. Besides membrane localization, connexins can also be localized to the cytoplasm and nucleus, especially in cancer cells. The differential localization of connexins including Cx32 was observed in different stages of cancers. Cx32 was upregulated and observed in cytoplasms of cells in lymph-node metastasis of breast cancer samples compared to primary tumors. However, the significance of the increase in Cx32 expression and alteration of Cx32 cellular localization in epithelial-to-mesenchymal transition (EMT) is not known. To determine if Cx32 overexpression and/or localization over one week would induce the EMT process, we first examined the cellular localization of Cx32 in MCF10A and MDA-MB-231 cells at different time points using Western blot and RT-PCR as well as immunostaining with confocal microscopy. Then, we correlated the changes of Cx32 expression and localization with EMT marker expression. We showed that Cx32 had altered cellular localization and Cx32 overexpression increased Slug levels while it reduced E-cadherin and Snail expression in MDA-MB-231 for 7 days. In contrast, E-cadherin and Vimentin were reduced in MCF10A-Cx32 cells compared with controls over 7 days, and the expression pattern for nuclear Cx32 and Zeb2 was following similar pattern in MCF10A cells. Our results suggest a previously unknown time-dependent relation between Cx32 and the regulation of the EMT process.