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 289
  • 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
  • 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.
  • 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.
  • 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.
  • Review
    Citation - WoS: 1
    Citation - Scopus: 2
    Organ-On Platforms for Drug Development, Cellular Toxicity Assessment, and Disease Modeling
    (Tubitak Scientific & Technological Research Council Turkey, 2024) Khurram, Muhammad Maaz; Cinel, Gokturk; Yesil Celiktas, Ozlem; Bedir, Erdal
    Organs-on-chips (OoCs) or microphysiological platforms are biomimetic systems engineered to emulate organ structures on microfluidic devices for biomedical research. These microdevices can mimic biological environments that enable cell-cell interactions on a small scale by mimicking 3D in vivo microenvironments outside the body. Thus far, numerous single and multiple OoCs that mimic organs have been developed, and they have emerged as forerunners for drug efficacy and cytotoxicity testing. This review explores OoC platforms to highlight their versatility in studies of drug safety, efficacy, and toxicity. We also reflect on the potential of OoCs to effectively portray disease models for possible novel therapeutics, which is difficult to achieve with traditional 2D in vitro models, providing an essential basis for biologically relevant research.
  • Article
    Ancient Places of Performance as "realms of Memory". the Case of Greece
    (Editura Univ Ion Mincu, 2023) Akture, Zeynep
    [No Abstract Available]
  • Conference Object
    Decoding and Predicting the Attributes of Urban Public Spaces With Soft Computing Models and Space Syntax Approaches
    (Ecaade-education & Research Computer Aided Architectural design Europe, 2023) Yonder, Veli Mustafa; Dogan, Fehmi; Cavka, Hasan Burak; Tayfur, Gokmen; Dulgeroglu, Ozum
    People spend a considerable amount of time in public spaces for a variety of reasons, albeit at various times of the day and during season. Therefore, it is of utmost importance for both urban designers and local authorities to try to gain an understanding of the architectural qualities of these spaces. Within the scope of this study, squares and green parks in Izmir, the third largest city in Turkey, were analyzed in terms of their dimensions, landscape characteristics, the quality of their semi-open spaces, their landmarks, accessibility, and overall aesthetic quality. Using linear predictor, general regression neural networks, multilayer feed-forward neural networks (2-3-4-5-6 nodes), and genetic algorithms, soft computing models were trained in accordance with the results of the conducted analyses. Meanwhile, using space syntax methodologies, a visibility graph analysis and axial map analysis were conducted. The training results (i.e., root mean square error, mean absolute error, bad prediction rates for testing and training phases, and standard deviation of absolute error) were obtained in a comparative table based on training times and root mean square error values. According to the benchmarking table, the network that most accurately predicts the aesthetic score is the 2-node MLFNN, whereas the 6-node MLFN network is the least successful network.
  • Conference Object
    Energy Management in Organized Industrial Zones: Promoting the Green Energy Transition in Turkish Manufacturing Industry
    (Ieee, 2024) Ediger, Volkan S.; Kucuker, Mehmet Ali; Berk, Istemi; Inan, Ali; Uctug, Fehmi Gorkem
    Organized Industrial Zones (OIZ), which gained legal status by Law 4562 of 2000, played a significant role in Turkish industrialization policies, particularly in improving Small and Medium-sized Enterprises (SMEs). The energy management (EM) within OIZs is essential for Turkiye's green transition and 2053 net-zero pathway. Following the publication of a directive on OIZ's electricity market activities in 2006, enterprises can purchase electricity directly from OIZ management. Moreover, the Energy Efficiency Law No. 5627 of 2007 required OIZs to establish an energy management unit (EMU) to serve the participants with less than 1000 tons of oil equivalent (toe) energy consumption. EMUs provide OIZ management with a unique opportunity to enhance sustainable energy transition by increasing renewable energy production and improving the energy efficiency of participating enterprises. The primary goal of this research is to evaluate the effectiveness of energy management units in OIZs in encouraging energy efficiency and green energy transition in the Turkish manufacturing industry. As a case study, we examine EM in the Adana Haci Sabanci Organized Industrial Zone (Adana OIZ), which ranks third among OIZs regarding electricity consumption. We analyze data on electricity infrastructures, roof-top PVs, invoice settlements/offsets, energy efficiency investments, and GHG emissions between 2017 and 2023. Our preliminary findings suggest that EMU in the Adana OIZ makes a very important contribution to the green transition of industrial establishments and that regulatory changes over the last decades have had positive effects. The share of renewable energy in the total energy mix increased from 1.6% to 21.4% over six years, and there has been a noteworthy enhancement in energy efficiency, reaching 27% in 22 companies evaluated. The main policy implication of our findings is that the role of regulatory bodies and efficient energy management in OIZs will be critical in achieving Turkiye's net zero target of 2053.
  • Conference Object
    Citation - WoS: 5
    Citation - Scopus: 7
    Modeling Leakage of Ephemeral Secrets in Tripartite/Group Key Exchange
    (Institute of Electronics, Information and Communication, Engineers, IEICE, 2013) Manulis, Mark; Suzuki, Koutarou; Ustaoglu, Berkant
    We propose a security model, referred as g-eCK model, for group key exchange that captures essentially all non-trivial leakage of static and ephemeral secret keys of participants, i.e., group key exchange version of extended Canetti-Krawczyk (eCK) model. Moreover, we propose the first one-round tripartite key exchange (3KE) protocol secure in the g-eCK model under the gap Bilinear Diffie-Hellman (gap BDH) assumption and in the random oracle model.