Erkantarcı, Betül

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Job Title:Arş. Gör.
Email Address:betül.erkantarci@agu.edu.tr
Main Affiliation:02. 04. Bilgisayar Mühendisliği
Status: Former Staff
ORCID:ORCID Profile0009-0004-7159-3242
Scopus ID:Scopus Profile58750247600
YÖK Akademik: 365A410FE3C52945
Web of Science ID:Web of Science ProfileJTM-1077-2023
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Betül Erkantarcı Erkantarci, Betul
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Now showing 1 - 10 of 22
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Sustainable Conservation Through the Interrelations Between Rural Architecture and Life: The Case of Çomakdağ
    (Emerald Group Publishing Ltd, 2025) Kurtulus, Vacide Betul; Guchan, Neriman Sahin; Şahin Güçhan, Neriman
    PurposeThe paper aims to propose a new approach to the sustainable conservation of rural heritage with the aim of understanding the relations between built environment and society. In the document "Concerning Rural Landscapes as Heritage" by ICOMOS-IFLA, it is argued that there is an interaction between daily life practices and the physical environment for production and cultural activities (ICOMOS, 2017). The main objective of the study is to underline the importance and necessity for this interaction continue for the sustainable conservation of rural areas.Design/methodology/approachThis paper investigates the relationship between the built environment and daily practices in Turkey's & Ccedil;omakdag Region, known for its significant rural architecture and enduring traditions. Through on-site investigation, the study explores the evolution of these relationships across various scales, including buildings, settlements and the region itself. This multi-scale approach aims to identify remaining cultural values and user needs.FindingsTraditional ways of life have undergone a transformation, impacting the interactions between inhabitants and their natural, agricultural and architectural spaces. The primary drivers of these changes are shifts in income sources, technological advancements and infrastructural developments within the settlements. While maintaining a connection between the built environment and daily life practices remains essential, contemporary living conditions and altered routines present challenges to this continuity.Originality/valueThis study builds on previous research on the & Ccedil;omakdag Region. Batur (2010) explored the region's architectural features, including colors and ornamentation. Kurtulus and G & uuml;& ccedil;han (2020) focused on Kizilaga & ccedil; village, examining typical house characteristics. This research offers a new perspective on rural heritage preservation. It emphasizes the importance of maintaining the interrelationship between daily life and the built environment across various scales for sustainable conservation.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 5
    Development of Buckwheat Starch-Capric Acid Complex-Based Film: Process Optimization and Film Characterization
    (Wiley-VCH Verlag GmbH, 2025) Koca, Esra; Kahraman, Kevser; Oskaybas-Emlek, Betul; Ozbey, Ayse; Aydemir, Levent Yurdaer
    To overcome the limitations of starch usage alone, the film formation ability of the buckwheat starch-capric acid complex (BS-CA) was optimized, and the films were characterized. Significant models were obtained for tensile strength (TS) and Young's modulus (YM) of BS-CA film (p < 0.0001). The glycerol/starch ratio, temperature, and their interactions were significant in the YM model (R-2 is 0.9851). The BS-CA film had a better water vapor barrier (0.463 +/- 0.02 g mm/m(2) h kPa), with lower water solubility (WS) (34.18 +/- 1.70%) and moisture content (MC) (16.87 +/- 0.09%) than the buckwheat starch (BS) film (p < 0.05). It had lower thickness (0.073 +/- 0.00 mm) and TS (0.624 +/- 0.04 MPa) but higher elasticity (114.60 +/- 3.12%). The non-covalent interactions were determined between BS and CA, since new peaks were not observed in the film's FTIR spectrum. BS-CA film had a typical V-type crystalline structure and had slightly lower decomposition temperatures than the BS film. Contact angle measurements (55.19 degrees +/- 1.7), and images of AFM topography and SEM showed that the BS-CA film surface was hydrophilic; height and average roughness values were 1014 and 276 nm, respectively, which were quite higher than those of BS film. The results reveal that starch modification with fatty acid is a promising way to develop starch-based films to be used in practical applications.
  • Master Thesis
    Biyomedikal Bilgi Tabanları Üzerinde Hesaplamalı İlaç Yeniden Konumlandırması İçin Bilgi Grafiği Temsil Yaklaşımları
    (2026) Erkantarcı, Betül; Bakal, Mehmet Gökhan; Köse, Abdulkadir
    Drug repositioning, or the strategy of finding new medical applications to an existing drug, is a safer and cheaper alternative to development of a new drug. The thesis constructs a unified biomedical knowledge graph by integrating biomedical information resources such as SemMedDB, repoDB, and UMLS, and presents a comprehensive evaluation of seven knowledge graph embedding models: TransE, TransH, TransR, TransD, TransF, ProjE, and RESCAL. To have a biological relevance, a semantic validation pipeline was created by refining the PubMed-based biomedical language model to an accuracy of around 96% in order to determine the plausibility of the suggested drug-disease associations. TransF had the best quantitative performance with a macro area under the precision-recall curve of 0.767, whereas ProjE produced the largest number of semantically plausible hypotheses with 14 literature-supported drug-disease pairs. Moreover, an automated update system, which leverages internet of things, is used to retrieve fresh PubMed evidence on a daily basis to update semantic plausibility scores. Altogether, the knowledge graph embeddings and semantic validation workflow showed numerous new and literature-based drug-disease relations and indicated its potential to become a strong, explainable and data-driven model in computational drug repositioning. Keywords: Computational Drug Repositioning, Knowledge Graph Embedding, Biomedical Knowledge Graph, Semantic Validation, Internet of Things
  • Article
    Citation - WoS: 28
    Citation - Scopus: 35
    Production of Buckwheat Starch-Myristic Acid Complexes and Effect of Reaction Conditions on the Physicochemical Properties, X-Ray Pattern and FT-IR Spectra
    (Elsevier, 2022-05) Oskaybas-Emlek, Betul; Ozbey, Ayse; Aydemir, Levent Yurdaer; Kahraman, Kevser
    In this study, the effect of reaction parameters on complex index (CI%) value of complexes formed between buckwheat starch (BS) and myristic acid (MA) was investigated. The temperature (60-90 ?C) and MA to BS ratio (0.1-0.8 mmoL/g) were determined as the most effective parameters and their effect on CI% was evaluated using response surface methodology. The MA to BS ratio, temperature, and interaction between them had an influence on CI%. The CI% of BS-MA complexes increased with increasing MA ratio until a certain level of MA. Principal component analysis (PCA) was used for correlation analysis between parameters. Swelling power and paste clarity of BS decreased with complex formation while syneresis increased. Peak and final viscosity values of the BS-MA complexes were significantly lower than those of BS. FT-IR revealed the complex formation led to change in starch structure. The XRD confirmed the BS-MA complex formation but the BS-MA produced using 0.1 mmoL/ g at 60 ?C was not detected by XRD due to having low crystallinity, and expectedly, the lowest relative crystallinity value was achieved with this sample among complex samples. All results showed that the buckwheat be an alternative starch source for starch formation.
  • Conference Object
    Citation - Scopus: 1
    Semantic-Forward Relaying for 6G: Performance Boosts With ResNet-18 and GoogleNet Plus
    (Institute of Electrical and Electronics Engineers Inc., 2024-11-28) Erkantarci, Betul; Çoban, Mert Korkut; Bozoǧlu, Abdulkadir; Köse, Abdulkadir
    This paper investigates the integration of advanced deep learning architectures, namely ResNet-18, GoogleNet and enhanced GoogleNet (GoogleNet Plus), into the Semantic-Forward (SF) relaying framework for cooperative communications in 6G networks. The SF relaying framework enhances transmission efficiency and robustness by leveraging semantic information at relay nodes. We analyze and compare the performance of these deep learning models in terms of validation accuracy, semantic accuracy, and Euclidean distance (ED) metrics on the CIFAR-10 dataset. Results indicate that ResNet-18 achieves the highest performance due to its residual learning architecture. GoogleNet Plus, incorporating Automatic Mixed Precision (AMP) training and the Adam optimizer, demonstrates improved stability and efficiency compared to the original GoogleNet. The results highlights the potential of deep learning models to enhance semantic processing capabilities in SF relaying, contributing to the development of more efficient, resilient, and adaptive cooperative communication systems in 6G networks. © 2025 Elsevier B.V., All rights reserved.
  • Article
    Development of Resistant Starch Type-5 and Its Utilization in Cookie-Preparation
    (North University Center Baia Mare, 2025) Oskaybas-Emlek, Betul; Ozbey, Ayse; Kahraman, Kevser
    The objective of this study was the production of resistant starch type-5 (RS-5), its characterization, and utilization in cookie making. In first part of the study, the effects of starch-fatty acid complex formation (RS-5) between tapioca starch and lauric acid on the structure, digestibility, thermal and morphological properties of tapioca starch were investigated. X-ray diffraction revealed that the RS-5 had a V-type crystalline pattern. FT-IR analysis showed that a distinctive peak at 2846 cm-1 was only observed in RS-5. The resistant starch (RS) content of native starch increased from 22.76% to 28.02% with RS-5 formation. In the second part of the study, the RS-5 was added as a replacement for wheat flour with 10%, 20%, and 30% compared to control sample made with 100% wheat flour in cookie-making. The effects of RS-5 replacement of cookie samples on some physicochemical, estimated glycemic index (eGI) value, physical, and hardness properties were determined. Compared to control cookie, the cookie samples included RS-5 had lower hardness value, higher spread ratio. The eGI value of cookie samples was slightly decreased with the replacement with RS-5. The results demonstrated that the RS-5 has good potential for developing softer cookie with no adverse impact on eGI value.
  • Conference Object
    Citation - Scopus: 1
    Drug Repositioning via Entity Transformation in Biomedical Knowledge Systems
    (Springer Science and Business Media Deutschland GmbH, 2025) Erkantarci, B.; Bakal, G.
    The drug discovery process for known diseases is crucial in bioinformatics, given the extensive clinical trials, regulatory approvals, and high costs. Computational in silico methods are essential to mitigate these challenges, as they help identify promising drug candidates, thereby reducing the time and cost associated with drug discovery. An effective strategy in this domain is drug repositioning, where existing drugs, already approved for one disease, are repurposed for treating another. This approach is advantageous as it leverages the established safety profiles of existing drugs, avoiding toxic effects on human metabolism. In this effort, we employed a translational entity embedding-based neural network model to advance drug repositioning efforts. We utilize the Semantic Medline Database (SemMedDB) as the primary source of biomedical entity relationships for model training. The model is validated using repoDB, a gold standard dataset for drug repositioning. Technically, the model will learn to minimize the vector distance between related entities. This distance will serve as the basis for predicting potential drug-disease pairs in drug repositioning, offering a novel computational method to expedite the drug discovery process. © 2025 Elsevier B.V., All rights reserved.
  • Article
    Citation - WoS: 19
    Citation - Scopus: 15
    An Empirical Study of Sentiment Analysis Utilizing Machine Learning and Deep Learning Algorithms
    (Springernature, 2023-12-09) Erkantarci, Betul; Bakal, Gokhan
    Among text-mining studies, one of the most studied topics is the text classification task applied in various domains, including medicine, social media, and academia. As a sub-problem in text classification, sentiment analysis has been widely investigated to classify often opinion-based textual elements. Specifically, user reviews and experiential feedback for products or services have been employed as fundamental data sources for sentiment analysis efforts. As a result of rapidly emerging technological advancements, social media platforms such as Twitter, Facebook, and Reddit, have become central opinion-sharing mediums since the early 2000s. In this sense, we build various machine-learning models to solve the sentiment analysis problem on the Reddit comments dataset in this work. The experimental models we constructed achieve F1 scores within intervals of 73-76%. Consequently, we present comparative performance scores obtained by traditional machine learning and deep learning models and discuss the results.
  • Article
    Buckwheat Starch–Myristic Acid Complex Formation: Effect of Reaction Temperature and Myristic Acid Concentration on Digestibility Properties
    (2022) Aydemir, Levent Yurdaer; Ozbey, Ayse; Kahraman, Kevser; Emlek, Betül Oskaybaş
    Bu çalışma, farklı miristik asit konsantrasyonları ve farklı reaksiyon sıcaklıkları kullanılarak üretilen karabuğday nişastası-miristik asit kompleksi örneklerinin sindirilebilirlik özellikleri üzerine farklı reaksiyon koşullarının etkisini araştırmayı amaçlamıştır. Reaksiyon sıcaklığının (60-90°C) ve yağ asidi konsantrasyonlarının (0.1-0.8 mmoL/g) sindirilebilirlik özellikleri üzerindeki etkisini araştırmak için Yanıt Yüzey Metodolojisi kullanılmıştır. Örneklerin enzime dirençli nişasta (EDN) içerikleri reaksiyon sıcaklığındaki artışla artmıştır. Reaksiyon sıcaklığı, örneklerin hızlı ve yavaş sindirilebilir nişasta içeriklerini etkilemiştir. En yüksek EDN içeriği (%32.57) 90°C'de 0.45 mmoL/g miristik asit kullanılarak üretilen örnekte elde edilmiştir. F, p (&lt;0.05) ve R2 değerleri seçilen modellerin numunelerin sindirilebilirlik özellikleri için önemli olduğunu göstermiştir. Karabuğday nişastasının miristik asit ile kompleks oluşturması, EDN içeriğini artırma konusunda umut verici görünmektedir. Karabuğday, çalışmalar henüz oldukça yeni olmasına rağmen, EDN kaynağı olarak önemli bir potansiyele sahip görünmektedir.
  • Article
    Citation - WoS: 45
    Citation - Scopus: 51
    Effects of Germination on the Physicochemical and Nutritional Characteristics of Lentil and Its Utilization Potential in Cookie-Making
    (Springer, 2021-06-10) Oskaybas-Emlek, Betul; Ozbey, Ayse; Kahraman, Kevser
    Lentil is an alternative gluten-free source with high protein content. In our study, lentil seeds were germinated to enhance the functional and antioxidant properties of lentil. The raw and germinated lentil flour was obtained from lentil seed and used in cookie production. The germination affected the physicochemical, functional, chemical and morphological properties, and pasting behavior of lentil flour. The results indicated that germination caused positive effects on ash and protein content, total phenolic content (TPC), antioxidant properties, oil absorption capacity, and water solubility index. However, germination caused a decrease in the total dietary fiber and starch content due to the activation of the enzymes during germination. SEM images of the germinated lentil flour proved the degradation of starch. Lentil (raw and germinated) flour cookies and wheat flour cookies (Control) were evaluated in terms of physicochemical, TPC, antioxidant properties, textural properties, and in-vitro glycemic index (eGI) value. Germinated lentil flour cookie exhibited the lowest hardness, lightness, yellowness values, the highest TPC and antioxidant activity, and it had the same effect on eGI with control cookie. Overall results indicated that germination can be used as a natural, sustainable, and cost-effective way to improve the functional, and antioxidant properties of lentil. Germinated lentil flour cookie may be considered as a functional food due to high protein content and antioxidant properties.

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