Erkantarcı, Betül
Loading...
Profile URL
Name Variants
Betül Erkantarcı
Erkantarci, Betul
Erkantarci, Betul
Job Title
Arş. Gör.
Email Address
betül.erkantarci@agu.edu.tr
Main Affiliation
02. 04. Bilgisayar Mühendisliği
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
13
CLIMATE ACTION
0
Research Products
15
LIFE ON LAND
1
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
10
REDUCED INEQUALITIES
0
Research Products
2
ZERO HUNGER
1
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
14
LIFE BELOW WATER
0
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
5
GENDER EQUALITY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
3
Research Products
7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
4
QUALITY EDUCATION
0
Research Products
1
NO POVERTY
0
Research Products
17
PARTNERSHIPS FOR THE GOALS
0
Research Products
3
GOOD HEALTH AND WELL-BEING
0
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
Documents
4
Citations
10
h-index
1
Documents
0
Citations
0
Scholarly Output
21
Articles
12
Views / Downloads
1/0
Supervised MSc Theses
1
Supervised PhD Theses
1
WoS Citation Count
177
Scopus Citation Count
226
WoS h-index
6
Scopus h-index
6
Patents
0
Projects
0
WoS Citations per Publication
8.43
Scopus Citations per Publication
10.76
Open Access Source
7
Supervised Theses
2
| Journal | Count |
|---|---|
| International Journal of Biological Macromolecules | 2 |
| Eurasia Proceedings of Science, Technology, Engineering and Mathematics | 2 |
| Biosensors-Basel | 1 |
| Carpathian Journal of Food Science and Technology | 1 |
| Computer Methods and Programs in Biomedicine | 1 |
Current Page: 1 / 4
Scopus Quartile Distribution
Competency Cloud
21 results
Scholarly Output Search Results
Now showing 1 - 10 of 21
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, KevserThe 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 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: 14Citation - Scopus: 9An Empirical Study of Sentiment Analysis Utilizing Machine Learning and Deep Learning Algorithms(Springernature, 2024) Erkantarci, Betul; Bakal, GokhanAmong 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 Citation - WoS: 22Citation - Scopus: 30Production of Buckwheat Starch-Myristic Acid Complexes and Effect of Reaction Conditions on the Physicochemical Properties, X-Ray Pattern and FT-IR Spectra(Elsevier, 2022) Oskaybas-Emlek, Betul; Ozbey, Ayse; Aydemir, Levent Yurdaer; Kahraman, KevserIn 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.Book Part Ionizing Radiation(CRC Press, 2024) Braşoveanu, Mirela M.; Emlek, Betul Oskaybaş; Sabbaghi, Hassan; Kahraman, Kevser; Muti, Serpil Ozturk; Sher, Farooq; Nemţanu, Monica R.Ionizing radiation processing has demonstrated the potential to bring significant transformations in both the structure and functioning of starch. These modifications cover crucial features, including granular and molecular characteristics, pasting properties, rheological attributes, and gelatinization behavior. This comprehensive chapter aims mainly to provide a consolidated overview of the key findings that have been made recently about major alterations in the fundamental attributes of starch generated by diverse plant sources when exposed to ionizing radiation processing. Beyond articulating these modifications, the chapter explores other relevant topics, including analytical methods employed for characterizing irradiated starch, clarification of the radiation-induced reaction mechanism, and a discussion on safety considerations and regulatory frameworks associated with the utilization of ionizing radiation for treating starch within the context of food-related applications. Furthermore, based on all the highlighted elements, future research directions are proposed, with a focus on characterizing and defining the internal structure of irradiated starch, as well as exploring the functionalities of radiation-modified starches in both innovative and traditional food formulations. © 2024 Elsevier B.V., All rights reserved.Article Citation - WoS: 32Citation - Scopus: 43Enhancing Cybersecurity in Smart Grids: False Data Injection and Its Mitigation(MDPI, 2021) Unsal, Derya Betul; Ustun, Taha Selim; Hussain, S. M. Suhail; Onen, AhmetIntegration of information technologies with power systems has unlocked unprecedented opportunities in optimization and control fields. Increased data collection and monitoring enable control systems to have a better understanding of the pseudo-real-time condition of power systems. In this fashion, more accurate and effective decisions can be made. This is the key towards mitigating negative impacts of novel technologies such as renewables and electric vehicles and increasing their share in the overall generation portfolio. However, such extensive information exchange has created cybersecurity vulnerabilities in power systems that were not encountered before. It is imperative that these vulnerabilities are understood well, and proper mitigation techniques are implemented. This paper presents an extensive study of cybersecurity concerns in Smart grids in line with latest developments. Relevant standardization and mitigation efforts are discussed in detail and then the classification of different cyber-attacks in smart grid domain with special focus on false data injection (FDI) attack, due to its high impact on different operations. Different uses of this attack as well as developed detection models and methods are analysed. Finally, impacts on smart grid operation and current challenges are presented for future research directions.Article Citation - WoS: 2Citation - Scopus: 5Simple Staining of Cells on a Chip(MDPI, 2022) Kosker, Fatma Betul; Aydin, Omer; Icoz, KutaySimple staining of cells is a widely used method in basic medical diagnostics, education, and research laboratories. The stains are low-cost, but the extensive consumption results in excessive toxic waste generation. Thus, to decrease the amount of toxic waste resulting from the cell staining procedure is a need. In this study, we developed a magnetically driven and compartmentalized passive microfluidic chip to perform simple staining of human eukaryotic cells, K562 cells, and lymphocyte cells derived from patients. We demonstrated simple staining on cells with trypan blue, methylene blue, crystal violet, and safranin for high, medium, and low cell densities. The stained cells were imaged using a bright field optical microscope and a cell phone to count cells on the focal plane. The staining improved the color signal of the cell by 25-135-pixel intensity changes for the microscopic images. The validity of the protocol was determined using Jurkat and MDA-MB-231 cell lines as negative controls. In order to demonstrate the practicality of the system, lymphocyte cells derived from human blood samples were stained with trypan blue. The color intensity changes in the first and last compartments were analyzed to evaluate the performance of the chip. The developed method is ultra-low cost, significantly reduces the waste generated, and can be integrated with mobile imaging devices in terms of portability. By combining microfabrication technology with cell staining, this study reported a novel contribution to the field of microfluidic biosensors. In the future, we expect to demonstrate the detection of pathogens using this method.Article Citation - WoS: 4Citation - Scopus: 4Development 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 YurdaerTo 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, AbdulkadirDrug 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 ThingsArticle 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, NerimanPurposeThe 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.
- «
- 1 (current)
- 2
- 3
- »