Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Identification of Turkish Extra Virgin Olive Oils Produced in Different Regions With Volatile Compounds(Innovhub SSI-Area SSOG, 2025) Sevim, Didar; Koseoglu, Oya; Ertan, Hasan; Ozdemir, Durmun; Ulan, MehmetThis study aims to characterize the composition of the volatile compounds in Turkish extra virgin olive oils (EVOOs) produced from three cultivars-Ayvalik, Gemlik, and Memecik-harvested in the South Marmara, South Aegean, and North Aegean regions during the 2014/15 and 2015/16 crop seasons. A total of 135 EVOO samples were obtained using industrial-scale 2-phase and 3-phase extraction systems. These samples were then analyzed using solid-phase microextraction (SPME) coupled with gas chromatography (GC). Among the twelve volatiles identified, trans-2-hexen-1-ol and cis-2-penten-1-ol exhibited the highest levels of abundance across all samples and seasons. Subsequently, 1-penten-3-one, hexanal, and cis-3-hexenyl acetate were identified, and it was determined that these contribute to the green and fruity sensory profile of high-quality olive oil. Two- and three-factor analyses of variance (ANOVA) revealed that volatile concentrations were significantly influenced by variety, harvest season, and extraction system. It is significant that 1-penten-3-one was found to be significantly influenced by both season and variety (p < 0.05), while 1-penten-3-ol exhibited a multifactorial dependency, with significant two-way interactions (season x variety, season x system, variety x system). Furthermore, PLS-DA-based classification successfully distinguished samples according to olive variety, indicating that volatile profiles could serve as reliable markers for authenticity and geographic origin. These findings underscore the potential of using volatile compounds as quality indicators and for geographic labelling in the olive oil industry.Article Dissecting the Metabolic Landscape of Breast Cancer Subtypes via Elastic Net Modeling and Examining Its Immune Correlates(Walter de Gruyter GmbH, 2026) Kus, M.E.; Ekiz, H.A.Objectives: Breast cancer is a heterogeneous disease, and the estrogen receptor (ER) status is a key factor in disease classification and treatment planning. While metabolomic profiling has revealed subtype-specific differences, cross-study comparisons have been limited, posing challenges for data extrapolation. This study aims to investigate metabolites that differentiate ER-positive and ER-negative tumors via integrative analyses of multi-omics data. Methods: We jointly analyzed two untargeted metabolomics datasets via elastic net modeling using consistent analysis pipelines tuned for low sample sizes, namely multiple bootstrapping and stability selection. Significant metabolite predictors from two studies were cross-examined to reveal distinctions and commonalities. We also performed differential gene expression analysis using RNA sequencing data from matching samples to link metabolic patterns with transcriptomic signatures and intratumoral immune cell signatures. Results: This study identified unique metabolite signatures in distinct datasets and a limited overlap of discriminating metabolites that can be broadly generalizable for subtyping. Nevertheless, several glycolysis and fatty acid metabolism intermediates exhibited variation depending on the tumor ER status. Consistently, genes related to fatty acid metabolism and glycolysis were enriched in ER-positive and ER-negative tumors respectively. Furthermore, we used multiple immune cell deconvolution algorithms to correlate various immune cell types with the metabolite levels within the tumor microenvironment. Conclusions: Together, these findings highlight the metabolic and immunological diversity of breast cancer and establish a reproducible machine-learning framework for integrating multi-omics data to interrogate tumor complexity. © 2025 the author(s), published by De Gruyter, Berlin/Boston.Article Citation - Scopus: 1Improving the Stability of Ink-Jet Printed Red Qleds by Optimizing the Device Fabrication Process(Eurasia Academic Publishing Group, 2024) Diker, H.; Unluturk, S.S.; Ozcelik, S.; Varlikli, C.Red-light emitting Cadmium Sulfide0.8 Selenide0.2 / Zinc Sulfide (CdS0.8 Se0.2 /ZnS) based quantum dots (QDs) were synthesized by hot injection method and utilized as the emissive layer in the quantum dot light emitting diode (QLED) with the device structure of Indium Tin Oxide/Poly(3,4-ethylenedioxythiophene): Polystyrene Sulfonate /Polyvinylcarbazole(or Poly (N,N'-bis-4-butylphenyl-N,N'-bisphenyl)benzidin)/QD/ZincOxide/ LithiumFluoride/ Aluminum [ITO/ PEDOT: PSS/PVK(or p-TPD)/ QD/ZnO/LiF/Al]. QD inks were formulated and prepared in octane: decane; (1/1, v/v) solvent system and mixed with the nonionic surfactant, TritonX-100, to make the QD inks inkjet printable. In addition to the inkjet printing technique, spin coating was also employed to form the QD emissive layer for comparing device performance. Compared to the p-TPD-based QLED device, the PVK-based device fabricated via spin coating exhibited ~6-fold higher performance in terms of luminance and efficiency values. In the case of using the ink-jet printer, ~2-fold higher maximum luminance value and slightly lower external quantum efficiency at the lower current density region were obtained in the p-TPD-based device. Furthermore, compared to the PVK layer, the p-TPD layer provided higher device stability regardless of the coating method at the higher current density regions. We suggest that the coating method applied and the choice of hole transport layer (HTL) materials may control the device parameters. © The Author(s), 2024.Article Citation - WoS: 10Citation - Scopus: 11Meteorological Drought Analysis for Helmand River Basin, Afghanistan(TMMOB İnşaat Mühendisleri Odası, 2022) Alami, Mohammad Musa; Tayfur, GökmenThis study evaluates drought at Lashkargah, Farah, Adraskan, and Gardandiwal stations in Helmand River Basin (HRB) in Afghanistan to determine appropriate drought indices for the basin. Thirty seven years of monthly recorded precipitation data from 1979 to 2015 are employed with different drought index (DI) methods which include the Standardized Precipitation Index (Normal-SPI, Log-SPI, and Gamma-SPI), the Percent of Normal (PN), and the Deciles. All the methods are applied to the annual long term precipitation data. The log-SPI and the gamma-SPI predict extreme drought conditions, whereas, the normal-SPI determines wet and less dry conditions. The results emphasize that the PN and the Deciles methods predict more drought years in comparison to the SPI methods. The Deciles method shows longer period of extreme and severe drought than other methods. The five methods indicate various drought intensities in 1985, 1987, 1994, 1997, 1999, 2000, 2001, 2002, 2003, and 2004 at all the stations. The extreme drought condition in 2001 at all the stations confirms to the recorded drought reports for the same region. It is noted that since the log-SPI and the gamma-SPI capture the historical extreme and severe drought periods successfully, these are recommended as the drought monitoring indices for Helmand River Basin.Article Citation - WoS: 1Dedekind Harmonic Numbers(Indian Academy of Sciences, 2021) Altuntaş, Çağatay; Göral, HaydarFor any number field, we define Dedekind harmonic numbers with respect to this number field. First, we show that they are not integers except finitely many of them. Then, we present a uniform and an explicit version of this result for quadratic number fields. Moreover, by assuming the Riemann hypothesis for Dedekind zeta functions, we prove that the difference of two Dedekind harmonic numbers are not integers after a while if we have enough terms, and we prove the non-integrality of Dedekind harmonic numbers for quadratic number fields in another uniform way together with an asymptotic result.Article Sonlu Eleman Modellerinin Maksimum Olasılık Tahmini ile Güncellenmesi(Turkish Chamber of Civil Engineers, 2021) Hızal, ÇağlayanMatematiksel yapı modellerinin titreşim verileri kullanılarak güncellenmesi konusu, son yıllarda giderek artan bir şekilde araştırmacıların ilgisini çekmektedir. Bu hususta literatüre sunulan yöntemler genel olarak deterministik ve olasılıksal olarak sınıflandırılmaktadır. Bu bağlamda hem deterministik hem de olasılıksal model güncelleme yöntemlerinin birçok varyasyonu yer almaktadır. Bu çalışmada ise maksimum olasılık tahminine dayalı alternatif bir yaklaşım sunulmaktadır. Önerilen yöntemde, modal tanılama sırasında öngörülen ölçüm hatalarının yanı sıra model hatası da boyutsuz bir Rayleigh oranı üzerinden dikkate alınmaktadır. Sisteme ait model parametreler, ölçüm ve modelleme hatalarının normal dağılım göstereceği kabulüyle oluşturulan bir olasılık yoğunluk fonksiyonu üzerinden hesaplanmaktadır. Sunulan yöntemin güvenirliği bir sayısal ve bir deneysel uygulama üzerinden değerlendirilmiştir. Elde edilen verilere göre önerilen yöntemin oldukça makul sonuçlar verdiği gözlemlenmektedir.Article Citation - WoS: 3Citation - Scopus: 3Automated Labeling of Cancer Textures in Larynx Histopathology Slides Using Quasi-Supervised Learning(Science Printers and Publishers Inc., 2014) Önder, Devrim; Sarıoğlu, Sülen; Karaçalı, BilgeOBJECTIVE: To evaluate the performance of a quasisupervised statistical learning algorithm, operating on datasets having normal and neoplastic tissues, to identify larynx squamous cell carcinomas. Furthermore, cancer texture separability measures against normal tissues are to be developed and compared either for colorectal or larynx tissues. STUDY DESIGN: Light microscopic digital images from histopathological sections were obtained from laryngectomy materials including squamous cell carcinoma and nonneoplastic regions. The texture features were calculated by using co-occurrence matrices and local histograms. The texture features were input to the quasisupervised learning algorithm. RESULTS: Larynx regions containing squamous cell carcinomas were accurately identified, having false and true positive rates up to 21% and 87%, respectively. CONCLUSION: Larynx squamous cell carcinoma versus normal tissue texture separability measures were higher than colorectal adenocarcinoma versus normal textures for the colorectal database. Furthermore, the resultant labeling performances for all larynx datasets are higher than or equal to that of colorectal datasets. The results in larynx datasets, in comparison with the former colorectal study, suggested that quasi-supervised texture classification is to be a helpful method in histopathological image classification and analysis.Article Citation - WoS: 2Citation - Scopus: 3Rijit Gövdeli Bitkilerin Neden Olduğu Manning Katsayısının Araştırılması(Turkish Chamber of Civil Engineers, 2015) Yerdelen, Cahit; Mertsoy, Mesut; Tayfur, GökmenDoğal akış yatakları veya yapay taşkın yataklarında akım incelenirken bitkilerin sebep olduğu direnç kuvvetinin bir eşitlik yardımıyla belirlenmesi önemli bir konudur. Manning, Chezy, Darcy-Weisbach gibi eşitliklerde kullanılan direnç katsayıları, daha çok çeper özelliklerini temsil eden deneysel katsayılardır. Açık kanal şartlarında var olan veya akış kesitini kontrol etme amaçlı insanoğlunun planladığı bitkisel akış alanlarında akım hızının, su derinliğinin veya akış hacminin ampirik olarak çözülmesi planlama ve işletme süreçlerini olumlu yönde etkileyecektir. Bu çalışmada, akış kesitinde oluşacak direnç kuvvetinin, bitkilerin ve akışın fiziksel şartlarına bağlı olarak nasıl değiştiği incelenmiş ve doğrusal olmayan bir regresyon modeli önerilmiştir.Article Citation - WoS: 1Citation - Scopus: 1Çelik Köprü I-kirişlerine Yanal Destek Sağlayan Trapez Sac Kalıpların Mukavemeti(Turkish Chamber of Civil Engineers, 2009) Eğilmez, Oğuz Özgür; Alkan, DenizTrapez Sac Kalıplar (TSK) hem çelik bina hem de çelik köprü sektörlerinde beton döşemenin kalıp sistemi olarak sıklıkla kullanılmaktadırlar. TSK’ler her ne kadar bina inşaatlarında çelik I-kirişlere yanal destek sağlayıcı elemanlar olarak işlev görseler de, çelik köprü sektöründe trapez sac kalıplardan destek elemanları olarak yararlanılmasına izin verilmez. Ancak, önceki çalışmalar birleşim detayının geliştirilmesi durumunda TSK sisteminin kirişin yanal kararlılığına belirgin şekilde destek sağlayabildiğini göstermiştir. Bu makale halen devam etmekte olan ve TSK’lerin mukavemetinin incelendiği analitik bir çalışmanın ara sonuçlarını içermektedir. Geçmişte, TSK sistemleriyle desteklenen köprü kirişlerin genel burkulma davranışını irdeleyen basit sonlu elemanlar modelleri (SEM) kullanılmıştır. Bu çalışmada TSK’leri hem birbirlerine hem de kirişlere bağlayan vidalardaki kararlılık destek kuvvetlerini belilemek için kullanılan geliştirilmiş bir sonlu elemanlar modelinin sonuçlarına yer verilmiştir. Bu çözümleme sonuçları TSK’lerin içermesi gereken mukavemet ihtiyacını belirleyecek olan bir tasarım yönteminin geliştirilmesinde kullanılacaktır.Article Citation - WoS: 2Citation - Scopus: 3Rotary Inertia and Higher Modes Effect on the Dynamic Response of Timoshenko Beams on Two-Parameter Elastic Foundation(Turkish Chamber of Civil Engineers, 2019) Hızal, Çağlayan; Çatal, Hikmet HüseyinThis study investigates the effects of rotary inertia and higher modes on the dynamic response of the axially loaded Timoshenko beams on two-parameter foundation with generalized elastic end conditions. A simplified modal analysis procedure is presented by using the conventional separation of variables method. The effect of rotary inertia on the solution of free vibration differential equation is discussed. A numerical example is presented to investigate the coupled effect of rotary inertia and higher modes on the bending moment and shear force responses.
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