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Quantitative Variation Of Phenolic Compounds In Different Tissues Of Pistachio(Pistacia Vera L. Cv. Uzun) Associated With Alternate Bearing, Müjgan Güney, Muhammet Ali̇ Gündeşli̇, Murat Güney, Nesi̇be Ebru Kafkas, Sali̇h Kafkas, Zeynep Ergün
Quantitative Variation Of Phenolic Compounds In Different Tissues Of Pistachio(Pistacia Vera L. Cv. Uzun) Associated With Alternate Bearing, Müjgan Güney, Muhammet Ali̇ Gündeşli̇, Murat Güney, Nesi̇be Ebru Kafkas, Sali̇h Kafkas, Zeynep Ergün
Turkish Journal of Agriculture and Forestry
Alternate bearing is a common challenge in horticultural plants, leading to irregular yield in successive years. The potentialrole of phenolic compounds in regulating this phenomenon, however, is not well understood. This study aimed to investigate thepotential role of phenolic compounds in alternate bearing in pistachio trees by analysing samples from different parts of the “Uzun”cultivar over two consecutive years. Seven phenolic compounds (gallic acid, p-coumaric acid, caffeic acid, ferulic acid, chlorogenic acid,catechin, and quercetin) were analysed using high-performance liquid chromatography at 10-day intervals. Significant variations wereobserved in the levels of certain phenolic compounds between “ON” and “OFF” years, suggesting a …
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Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
A New Approach: Ordinal Predictive Maintenance With Ensemble Binary Decomposition (Opmeb), Ozlem Ece Yurek, Derya Birant
A New Approach: Ordinal Predictive Maintenance With Ensemble Binary Decomposition (Opmeb), Ozlem Ece Yurek, Derya Birant
Turkish Journal of Electrical Engineering and Computer Sciences
Predictive maintenance (PdM), a fundamental element of modern industrial systems, employs machine learning to monitor equipment conditions, estimate failure probabilities, and optimize maintenance schedules. Its core objective is to enhance equipment reliability, extend lifespan, and minimize costs through data-driven insights by enabling efficient maintenance scheduling, reducing downtime, and optimizing resource allocation. In this paper, we propose a novel ordinal predictive maintenance with ensemble binary decomposition (OPMEB) method for the PdM domain, considering the hierarchical nature of class labels reflecting the machine's health status, including categories like healthy, low risk, moderate risk, and high risk. The proposed OPMEB method was validated …
Enrichment Of Turkish Question Answering Systems Using Knowledge Graphs, Okan Çi̇ftçi̇, Fati̇h Soygazi̇, Selma Teki̇r
Enrichment Of Turkish Question Answering Systems Using Knowledge Graphs, Okan Çi̇ftçi̇, Fati̇h Soygazi̇, Selma Teki̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Recent capabilities of large language models (LLMs) have transformed many tasks in Natural Language Processing (NLP), including question answering. The state-of-the-art systems do an excellent job of responding in a relevant, persuasive way but cannot guarantee factuality. Knowledge graphs, representing facts as triplets, can be valuable for avoiding errors and inconsistencies with real-world facts. This work introduces a knowledge graph-based approach to Turkish question answering. The proposed approach aims to develop a methodology capable of drawing inferences from a knowledge graph to answer complex multihop questions. We construct the Beyazperde Movie Knowledge Graph (BPMovieKG) and the Turkish Movie Question Answering …
Ensemble Learning For Accurate Prediction Of Heart Sounds Using Gammatonegram Images, Sinam Ashinikumar Singh, Sinam Ajitkumar Singh, Aheibam Dinamani Singh
Ensemble Learning For Accurate Prediction Of Heart Sounds Using Gammatonegram Images, Sinam Ashinikumar Singh, Sinam Ajitkumar Singh, Aheibam Dinamani Singh
Turkish Journal of Electrical Engineering and Computer Sciences
The analysis of heart sound signals constitutes a pivotal domain in healthcare, with the prediction of imbalanced heart sounds offering critical diagnostic insights. However, the inherent diversity in cardiac sound patterns presents a substantial challenge in predicting imbalanced signals. Many scientific disciplines have focused a great deal of emphasis on the problem of class inequality. We introduce an ensemble learning approach employing a convolutional neural network model-based deep learning algorithm to effectively tackle the challenges associated with predicting imbalanced heart sound signals. We use a Gammatone filter bank to extract relevant features from the heard sound signal. Our approach leverages …
Detection And Classification Of Unauthorized Use Of Irrigation Motors In Agricultural Irrigation, Önder Ci̇velek, Sedat Görmüş, Hali̇l İbrahi̇m Okumuş, Orhan Gazi̇ Kederoglu
Detection And Classification Of Unauthorized Use Of Irrigation Motors In Agricultural Irrigation, Önder Ci̇velek, Sedat Görmüş, Hali̇l İbrahi̇m Okumuş, Orhan Gazi̇ Kederoglu
Turkish Journal of Electrical Engineering and Computer Sciences
The decarbonisation of electricity generation requires the real-time monitoring and control of grid components in order to efficiently and timely dispatch demand. This highly automated system, known as the Smart Grid, relies on smart or sensor-equipped distribution network components to optimise energy flow and minimise losses. However, energy theft, a major obstacle to efficient resource utilisation, poses a significant challenge to achieving this goal. This study proposes and evaluates a real-time telemetry and control system designed to mitigate energy theft in agricultural irrigation applications. The system increases energy efficiency by tracking the energy use in agricultural irrigation. The key challenge …
A New Dynamic Classifier Selection Method For Text Classification, İsmai̇l Terzi̇, Alper Kürşat Uysal
A New Dynamic Classifier Selection Method For Text Classification, İsmai̇l Terzi̇, Alper Kürşat Uysal
Turkish Journal of Electrical Engineering and Computer Sciences
The primary objective of employing multiple classifier systems (MCS) in pattern recognition is to enhance classification accuracy. Dynamic classifier selection (DCS) and dynamic ensemble selection (DES) are two purposeful forms of multiple classifier systems. While DES involves the selection of a classifier set followed by decision combination, DCS opts for the choice of a single competent classifier, eliminating the necessity for classifier combination. As a consequence, DCS methods exhibit superior efficiency in terms of processing time and memory usage compared to DES methods. Moreover, a substantial performance gap exists between the performance of Oracle and both DES and DCS methods. …
A Real-Time Embedded System Designed For Nilm Studies With A Novel Competitive Decision Process Algorithm, Sai̇d Mahmut Çinar, Rasi̇m Doğan, Emre Akarslan
A Real-Time Embedded System Designed For Nilm Studies With A Novel Competitive Decision Process Algorithm, Sai̇d Mahmut Çinar, Rasi̇m Doğan, Emre Akarslan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper explores the determination of any load or load combination in a power system at any moment. This process requires measurements at the main electric utility service entry of a house, known as nonintrusive measurement. To accurately identify loads, total harmonic distortion, RMS, third harmonic currents, and power consumption are considered their fingerprints. Based on these fingerprints, an algorithm called the competitive decision process is developed and integrated into an embedded system. This algorithm has a two-level decision mechanism. In the first stage, the winner loads with the highest similarity scores from each feature are determined, and the loads …
Multi-Label Voice Disorder Classification Using Raw Waveforms, Gökay Di̇şken
Multi-Label Voice Disorder Classification Using Raw Waveforms, Gökay Di̇şken
Turkish Journal of Electrical Engineering and Computer Sciences
Automated voice disorder systems that distinguish pathological voices from healthy ones have been developed with the aid of machine learning methods. Both clinicians and patients can benefit from these systems as they provide many advantages, compared to the invasive techniques. These systems can produce binary (healthy/pathological) or multi-class (healthy/selected pathologies) decisions. However, multiple disorders might exist in an individual’s voice. Multi-label classification should be considered in such cases. By this time, only a single report is available on this topic, where hand-crafted features were used, and a data augmentation technique was utilized to overcome class imbalances. In this study, a …
Network Intrusion Detection Based On Machine Learning Strategies: Performance Comparisons On Imbalanced Wired, Wireless, And Software-Defined Networking (Sdn) Network Traffics, Hi̇lal Hacilar, Zafer Aydin, Vehbi̇ Çağri Güngör
Network Intrusion Detection Based On Machine Learning Strategies: Performance Comparisons On Imbalanced Wired, Wireless, And Software-Defined Networking (Sdn) Network Traffics, Hi̇lal Hacilar, Zafer Aydin, Vehbi̇ Çağri Güngör
Turkish Journal of Electrical Engineering and Computer Sciences
The rapid growth of computer networks emphasizes the urgency of addressing security issues. Organizations rely on network intrusion detection systems (NIDSs) to protect sensitive data from unauthorized access and theft. These systems analyze network traffic to detect suspicious activities, such as attempted breaches or cyberattacks. However, existing studies lack a thorough assessment of class imbalances and classification performance for different types of network intrusions: wired, wireless, and software-defined networking (SDN). This research aims to fill this gap by examining these networks’ imbalances, feature selection, and binary classification to enhance intrusion detection system efficiency. Various techniques such as SMOTE, ROS, ADASYN, …
Efficient Deep Neural Network Compression For Environmental Sound Classification On Microcontroller Units, Shan Chen, Na Meng, Haoyuan Li, Weiwei Fang
Efficient Deep Neural Network Compression For Environmental Sound Classification On Microcontroller Units, Shan Chen, Na Meng, Haoyuan Li, Weiwei Fang
Turkish Journal of Electrical Engineering and Computer Sciences
Environmental sound classification (ESC) is one of the important research topics within the non-speech audio classification field. While deep neural networks (DNNs) have achieved significant advances in ESC recently, their high computational and memory demands render them highly unsuitable for direct deployment on resource-constrained Internet of Things (IoT) devices based on microcontroller units (MCUs). To address this challenge, we propose a novel DNN compression framework specifically designed for such devices. On the one hand, we leverage pruning techniques to significantly compress the large number of model parameters in DNNs. To reduce the accuracy loss that follows pruning, we propose a …
Novelties In Funalia And The Status Of Fomitella (Polyporaceae, Basidiomycota), Virton Rodrigo Targino De Oliveira, Paulo Roberto De Assis Alves, Nelson Correia De Lima-Júnior, Carla Santos, Nelson Lima, Leif Ryvarden, Josef Vlasák, Tatiana Baptista Gibertoni
Novelties In Funalia And The Status Of Fomitella (Polyporaceae, Basidiomycota), Virton Rodrigo Targino De Oliveira, Paulo Roberto De Assis Alves, Nelson Correia De Lima-Júnior, Carla Santos, Nelson Lima, Leif Ryvarden, Josef Vlasák, Tatiana Baptista Gibertoni
Turkish Journal of Botany
During studies on the taxonomical delimitation of some species of Funalia, some inconsistencies were observed in the genus. Based on morphological and phylogenetic analyses, Fomitella supina was positioned within the Funalia clade, thus the synonymization of the genus and the new combination of F. supina are proposed. Funalia glabrorigens is also combinated in the genus, while Coriolopsis hainanensis is suggested as a synonym of F. floccosa and F. rigida is assumed as a distinct species from F. floccosa. A table with morphological comparison of the 10 Funalia species confirmed by molecular analyses is also presented.
Tectonic Geomorphology Of The South-Eastern Section Of The Burdur-Fethiye Shear Zone, Western Taurides: Morphotectonic Framework Of The Eşen Basin, İrem Eli̇tez, Cenk Yaltirak
Tectonic Geomorphology Of The South-Eastern Section Of The Burdur-Fethiye Shear Zone, Western Taurides: Morphotectonic Framework Of The Eşen Basin, İrem Eli̇tez, Cenk Yaltirak
Turkish Journal of Earth Sciences
The Eşen Basin is a transtensional basin located in the south-eastern section of the Burdur-Fethiye Shear Zone and includes a part of the Western Taurides to the east. This tectonically complex area is bounded by the back-arc region of the Hellenic Arc, the offshore Anaximander Mountains, the offshore Rhodes and Finike basins, the extensional Western Anatolian region, and the compressional regions of the Western Taurides. In this study, in order to characterise the recent tectonic activity of the Eşen Basin, 101 drainage basins and 41 mountain fronts were analysed in terms of the longitudinal river profiles and the application of …
Eocene Magmatism Related To Postcollisional Extension In The Eastern Pontides (Ne Türkiye): 40ar-39ar Geochronology, Geochemistry, And Whole-Rock Sr-Nd-Pb-Hf Isotopes, Emre Aydinçakir, Cem Yücel, Abdullah Kaygusuz, Özgür Bi̇li̇ci̇, Si̇nan Yilmazer, Gilles Ruffet
Eocene Magmatism Related To Postcollisional Extension In The Eastern Pontides (Ne Türkiye): 40ar-39ar Geochronology, Geochemistry, And Whole-Rock Sr-Nd-Pb-Hf Isotopes, Emre Aydinçakir, Cem Yücel, Abdullah Kaygusuz, Özgür Bi̇li̇ci̇, Si̇nan Yilmazer, Gilles Ruffet
Turkish Journal of Earth Sciences
The mineral chemistry, whole-rock geochemistry, 40Ar / 39Ar dating and Sr-Nd-Pb-Hf isotopes of the Eocene Narman (Erzurum) Volcanic rocks in the southeast of the Eastern Pontides Orogenic Belt (EPOB, NE Türkiye) were investigated. The Narman Volcanites consist of basaltic dyke, basaltic lava, and basaltic volcanic breccia facies. Volcanites contain plagioclase (An34-80), clinopyroxene (Wo38-47En41-50Fs5-18), and olivine (Fo68-90) as phenocrystals with magnetite/titanomagnetite microphenocrysts. New 40Ar-39Ar ages suggest that these volcanic rocks erupted between 44.5 ± 0.1 and 43.4 ± 0.1 Ma, within the Middle Eocene (Lutetian). Narman Volcanites have calc-alkaline character, with medium-high K content. Volcanites are enriched in large ion lithophile …
Evaluation Of Gis-Based Spatial Interpolation Methods For Groundwater Level: A Case Study Of Türkiye, Ni̇lüfer Ti̇rol Kirçi̇çek, Alper Baba, Ayhan Koçbay, Murat Mert Toklu
Evaluation Of Gis-Based Spatial Interpolation Methods For Groundwater Level: A Case Study Of Türkiye, Ni̇lüfer Ti̇rol Kirçi̇çek, Alper Baba, Ayhan Koçbay, Murat Mert Toklu
Turkish Journal of Earth Sciences
Groundwater is a valuable and universally distributed resource on Earth. Understanding the spatial and temporal dynamics of groundwater is of utmost importance for effective management. Normally, groundwater levels are recorded at arbitrary points, but groundwater modeling requires interpolating the measured values at specific grid nodes. The aim of this study was to identify and evaluate the geographical variations of groundwater levels in Türkiye using three geostatistical interpolation techniques. Data from 355 groundwater wells from 1970 to 2019 were used for this purpose. In addition, an investigation of changes in annual average temperature and precipitation was conducted for two different time …
Facies Architecture And Depositional Evolution Of The Middle Eocene Mass Flow-Dominated Fan Delta Complex In The Multifeeder Areas: Elazığ Marine Basin (Eastern Türkiye), Onur Alkaç
Turkish Journal of Earth Sciences
The mass flow-dominated fan delta complex is developed by the rapid deposition of coarse-grained materials in front of uplifted areas under the influence active tectonism. This is important for providing clues about the first opening stages of marine basins. The study aims to shed light on the fact that mass flow-dominated fan delta complexes play an active role in determining the characterization of tectonism controlling basin opening. In the study area, mass flow-dominated deposits of the Deliktaş Fan Delta Complex (DFDC) represent the first deposits of the southern part of the Middle Eocene Elazığ Marine Basin, whose development is controlled …
Modeling Habitat Suitability And Current Distribution Of The Relicted Maghreb Magpie (Pica Mauritanica), Kamel Eddine Mederbal, Mohcen Menaa, Abdallah Aouadi, Lamia Boutabia, Lamia Bensaâd-Bendjedid, Khalladi Mederbal, Amira Bouderbala, Abderrahmane Chebli, Salah Telailia
Modeling Habitat Suitability And Current Distribution Of The Relicted Maghreb Magpie (Pica Mauritanica), Kamel Eddine Mederbal, Mohcen Menaa, Abdallah Aouadi, Lamia Boutabia, Lamia Bensaâd-Bendjedid, Khalladi Mederbal, Amira Bouderbala, Abderrahmane Chebli, Salah Telailia
Turkish Journal of Zoology
The Maghreb Magpie (Pica mauritanica) is an endemic bird to North Africa, encompassing Algeria, Morocco, and Tunisia. Unfortunately, its population is facing a significant decline primarily attributed to habitat loss and fragmentation resulting from urbanization and agricultural practices. Due to the lack of studies on habitat requirements of Pica mauritanica on a large scale, investigating the habitat preferences of this species and thereby understanding the potential threats, remains crucial for effective conservation strategies. We performed species distribution modeling (SDM), incorporating both occurrence records and predictor variables, to investigate the potentially suitable habitat and the factors influencing the distribution of the …
Positive And Decreasing Solutions For Higher Order Caputo Boundary Valueproblems With Sign-Changing Green’S Function, Rian Yan, Yige Zhao, Xuan Leng, Yabing Li
Positive And Decreasing Solutions For Higher Order Caputo Boundary Valueproblems With Sign-Changing Green’S Function, Rian Yan, Yige Zhao, Xuan Leng, Yabing Li
Turkish Journal of Mathematics
In this paper, Caputo boundary value problems of order 3 < ζ ≤ 4 are investigated on the interval [0, 1] .By Guo-Krasnoselskii fixed point theorem, some criteria of existence and multiplicity of positive and decreasing solutionsare established. The main novelty of the paper lies in its capability to achieve positive solutions while the correspondingGreen’s function changes sign. Finally, two examples are provided to illustrate the application of these results.
Interior Schauder-Type Estimates For M − Th Order Elliptic Operators Inrearrangement-Invariant Sobolev Spaces, Emi̇nağa M. Mamedov, Şeyma Çeti̇n
Interior Schauder-Type Estimates For M − Th Order Elliptic Operators Inrearrangement-Invariant Sobolev Spaces, Emi̇nağa M. Mamedov, Şeyma Çeti̇n
Turkish Journal of Mathematics
In this study, we investigate the m-th order elliptic operators on n-dimensional bounded domain Ω ⊂ Rnwith discontinuous coefficients in the rearrangement-invariant Sobolev space WmX (Ω). In general, the consideredrearrangement-invariant spaces are not separable, so the use of classical methods in these spaces requires substantialmodification of classical methods and a lot of preparation, concerning correctness of substitution operator, problemsrelated to the extension operator in such spaces, etc. For this purpose, the corresponding separable subspaces of thesespaces, in which the set of compact supported infinitely differentiable functions is dense, are introduced based on theshift operator. We establish interior Schauder-type estimates in …
On Vietoris’ Hybrid Number Sequence, Nurten Gürses, Gülsüm Yeli̇z Saçli, Sali̇m Yüce
On Vietoris’ Hybrid Number Sequence, Nurten Gürses, Gülsüm Yeli̇z Saçli, Sali̇m Yüce
Turkish Journal of Mathematics
This work is intended to establish a relation between Vietoris’ sequence, which is a rational sequence, andhybrid numbers. Then it provides some characteristic properties of the hybrid numbers with Vietoris’ number coefficients.Some relations between this hybrid number and its norm, the recurrence relations, the generating function, Binet-likeformula and Catalan-like identities are also indicated. Furthermore, a determinantal approach is presented to obtainelements of Vietoris’ hybrid number sequence.
Some Qualitative Results For Nonlocal Dynamic Boundary Value Problem Of Thermistor Type, Svetlin G. Georgiev, Mahammad Khuddush, Sanket Tikare
Some Qualitative Results For Nonlocal Dynamic Boundary Value Problem Of Thermistor Type, Svetlin G. Georgiev, Mahammad Khuddush, Sanket Tikare
Turkish Journal of Mathematics
This paper is concerned with second-order nonlocal dynamic thermistor problem with two-point boundary conditions on time scales. By utilizing the fixed point theorems due to Schaefer and Rus, we establish some sufficient conditions for the existence and uniqueness of solutions. Further, we discuss the continuous dependence of solutions and four types of Ulam stability. We provide examples to support the applicability of our results.
Bernstein-Nikol’Skii-Markov-Type Inequalities For Algebraic Polynomials In Aweighted Lebesgue Space In Regions With Cusps, Uğur Değer, Fahreddi̇n Abdullayev
Bernstein-Nikol’Skii-Markov-Type Inequalities For Algebraic Polynomials In Aweighted Lebesgue Space In Regions With Cusps, Uğur Değer, Fahreddi̇n Abdullayev
Turkish Journal of Mathematics
In this paper, we study Bernstein-Nikol’skii-Markov type inequalities for arbitrary algebraic polynomials withrespect to a weighted Lebesgue space, where the weight functions have some singularities on a given contour. We considercurves which can contain a finite number of exterior and interior corners with power law tangency of the boundary arcs atthose points where the weight functions have both zeros and poles of finite order. The estimates are given for the growthof the module of derivatives for algebraic polynomials on the closure of a region bounded by a given curve, dependingon the behavior of weight functions, on the property of curve, …
O-Demethyl Galantamine Alters Protein Expression In Cerebellum Of 5xfad Mice, İrem Kiriş, Merve Karayel Başar, Büşra Gurel, Tomasz Mroczek, Ahmet Tarik Baykal
O-Demethyl Galantamine Alters Protein Expression In Cerebellum Of 5xfad Mice, İrem Kiriş, Merve Karayel Başar, Büşra Gurel, Tomasz Mroczek, Ahmet Tarik Baykal
Turkish Journal of Biology
Background/aim: Alzheimer’s disease (AD), one of the most common health issues, is characterized by memory loss, severe behavioral disorders, and eventually death. Despite many studies, there are still no drugs that can treat AD or stop it from progressing. Previous in vitro tests showed that O-demethyl galantamine (ODG) might have a therapeutic potential owing to its 10 times higher acetylcholinesterase inhibitory activity than galantamine (GAL). Materials and methods: We aimed to assess effect of ODG on a molecular level 12-month-old 5xFAD Alzheimer’s mouse model. To this end, following the administrations of ODG and GAL, used as a positive control, protein …
Petox-Dope Nanoliposomes Functionalized With Peptide 563 In Targeted Bikdda Delivery To Prostate Cancer, Ayca Ece Nezi̇r, Zeynep Büşra Bolat, Ongun Mehmet Saka, Itir Ebru Zemheri̇, Sevgi̇ Gülyüz, Umut Uğur Özköse, Özgür Yilmaz, Asuman Bozkir, Fi̇kretti̇n Şahi̇n, Di̇lek Telci̇
Petox-Dope Nanoliposomes Functionalized With Peptide 563 In Targeted Bikdda Delivery To Prostate Cancer, Ayca Ece Nezi̇r, Zeynep Büşra Bolat, Ongun Mehmet Saka, Itir Ebru Zemheri̇, Sevgi̇ Gülyüz, Umut Uğur Özköse, Özgür Yilmaz, Asuman Bozkir, Fi̇kretti̇n Şahi̇n, Di̇lek Telci̇
Turkish Journal of Biology
BackgroundNanocarrier-based systems have cultivated significant improvements in prostate cancer therapy. However, the efforts are still limited in clinical applicability, and more research is required for the development of effective strategies. Here, we describe a novel nanoliposomal system for targeted apoptotic gene delivery to prostate cancer.MethodsPoly (2-ethyl-2-oxazoline) (PEtOx) dioleoyl phosphatidylethanolamine (DOPE) nanoliposomes were conjugated with the prostate-specific membrane antigen (PSMA)-targeting peptide GRFLTGGTGRLLRIS (P563) and loaded with BikDDA, a mutant form of the proapoptotik Bik. We selected 22Rv1 cells with moderate upregulation of PSMA to test the in vitro uptake, cell death, and in vivo anti-cancer activity of our formulation, P563-PEtOx-DOPE-BikDDA.ResultsBikDDA was …
The Apoptotic Effect Of Garlic (Allium Sativum) Derived Sevs On Different Types Of Cancer Cell Lines In Vitro, Naz Ünsal, Polen Koçak Deni̇zci̇, Hazal Yilmaz, Fi̇kretti̇n Şahi̇n, Merve Yildirim Canpolat
The Apoptotic Effect Of Garlic (Allium Sativum) Derived Sevs On Different Types Of Cancer Cell Lines In Vitro, Naz Ünsal, Polen Koçak Deni̇zci̇, Hazal Yilmaz, Fi̇kretti̇n Şahi̇n, Merve Yildirim Canpolat
Turkish Journal of Biology
Small extracellular vesicles (SEVs) are known to have an impact on the physiological circumstances of the target cells, are a critical component of cell-to-cell communication and have been implicated in a variety of diseases. Although it has been proposed that edible plant-derived nanoparticles have effect on communication with mammalian cells, the influence of these nanoparticles on cancer cell development has yet to be explored. In order to characterize small extracellular vesicles obtained from garlic, specific SEV surface markers and antibodies and size detections were performed by using scanning electron microscopy and nanoparticle tracking analysis. Human hepatoma, Hep3B, human neuroblastoma SH-SY5Y, …
Proteomic Investigation Of Acute And Chronic Hypoxia /Reoxygenation Responsive Proteins And Pathways In H9c2 Cardiomyoblasts, Merve Öztuğ, Evren Kilinç, Zeynep A. Öztuğ Durer, Emel Baloğlu
Proteomic Investigation Of Acute And Chronic Hypoxia /Reoxygenation Responsive Proteins And Pathways In H9c2 Cardiomyoblasts, Merve Öztuğ, Evren Kilinç, Zeynep A. Öztuğ Durer, Emel Baloğlu
Turkish Journal of Biology
Background/Aim: Ischemic heart diseases continue to be a significant global cardiovascular problem in today's world. Myocardial reperfusion (R) is provided with an effective and rapid treatment; however, it can lead to fatal results as well as ischemia (I). This study aims to use proteomic analysis to assess proteins and pathways in H9C2 cardiomyoblast cells exposed to hypoxic conditions, followed by reoxygenation, representing I /R injury for both short and long terms, reflecting acute and chronic hypoxia, respectively. Utilizing advanced techniques, our goal is to identify and characterize key proteins undergoing alterations during these critical phases.Materials and methods: H9C2 cardiomyoblasts, commonly …
Lungbank: A Novel Biorepository Strategy Tailored For Comprehensive Multi-Omics Analysis And P-Medicine Applications In Lung Cancer, Di̇lek Demi̇rcan Çeker, Volkan Baysungur, Serdar Evman, İlker Kolbaş, Abdurrahi̇m Gördebi̇l, Si̇nem M. Nalbantoğlu, Yusuf Tambağ, Ömer Kaçar, Ahmet Mi̇di̇, Hati̇ce Aslanoğlu, Nülüfer Kara, Ni̇lgün Algan, Ayberk Boyacioğlu, Betül Karademi̇r Yilmaz, Ali̇ Şahi̇n, Hi̇vda Ülbeği̇ Polat, Abi̇di̇n Şehi̇toğullari, Ali̇ Osman Çibikdi̇ken, Mücahi̇t Büyükyilmaz, İbrahi̇m Berkan Aydi̇lek, Abdulkeri̇m Eneş, Sevde Küçüker, Fati̇h Karakaya, İhsan Boyaci, Mahmut Gümüş, Onur Şenol, Merve Öztuğ, Evren Saban, Ömer Soysal, Nur Büyükpinarbaşili, Akif Turna, Mehmet Zeki Günlüoğlu, Aslı Çakir, Şaban Teki̇n, Uygar Tazebay, Abdullah Karadağ
Lungbank: A Novel Biorepository Strategy Tailored For Comprehensive Multi-Omics Analysis And P-Medicine Applications In Lung Cancer, Di̇lek Demi̇rcan Çeker, Volkan Baysungur, Serdar Evman, İlker Kolbaş, Abdurrahi̇m Gördebi̇l, Si̇nem M. Nalbantoğlu, Yusuf Tambağ, Ömer Kaçar, Ahmet Mi̇di̇, Hati̇ce Aslanoğlu, Nülüfer Kara, Ni̇lgün Algan, Ayberk Boyacioğlu, Betül Karademi̇r Yilmaz, Ali̇ Şahi̇n, Hi̇vda Ülbeği̇ Polat, Abi̇di̇n Şehi̇toğullari, Ali̇ Osman Çibikdi̇ken, Mücahi̇t Büyükyilmaz, İbrahi̇m Berkan Aydi̇lek, Abdulkeri̇m Eneş, Sevde Küçüker, Fati̇h Karakaya, İhsan Boyaci, Mahmut Gümüş, Onur Şenol, Merve Öztuğ, Evren Saban, Ömer Soysal, Nur Büyükpinarbaşili, Akif Turna, Mehmet Zeki Günlüoğlu, Aslı Çakir, Şaban Teki̇n, Uygar Tazebay, Abdullah Karadağ
Turkish Journal of Biology
Background/aim: LUNGBANK was established as a pioneering biorepository dedicated to lung cancer. Designed for streamlined biospecimens handling, it employs high-volume technologies to secure high-quality samples. Fortified with robust data management, LUNGBANK efficiently integrates diverse datasets. This strategic infrastructure positions LUNGBANK as more than a biospecimens repository; it operates as a sophisticated platform for advanced lung cancer research, amplifying the potential for meaningful discoveries.Materials and methods: LUNGBANK is intricately designed to streamline the collection, transfer, storage, and processing of biospecimens, employing high-volume technologies to ensure the acquisition of high-quality biological specimens. The system is fortified with robust data management protocols, facilitating …
Effect Of Quince Seed Gum (Qsg) On The Performance Of Injectable Hyaluronic Acid Hydrogels In Terms Of The Rheological, Morphological, And Mechanical Aspect, Serdar Kolay, Ni̇lhan Kayaman Apohan, Erdi̇nç Babuç, Gökay Gün
Effect Of Quince Seed Gum (Qsg) On The Performance Of Injectable Hyaluronic Acid Hydrogels In Terms Of The Rheological, Morphological, And Mechanical Aspect, Serdar Kolay, Ni̇lhan Kayaman Apohan, Erdi̇nç Babuç, Gökay Gün
Turkish Journal of Chemistry
Injectable hydrogels play an important role in tissue engineering as a filling and repairing material. This study aimed to develop a new injectable hydrogel based on hyaluronic acid (HA) and quince seed gum (QSG) and investigate the effect of QSG on hydrogel performance. The amount of unreacted 1,4-Butanediol diglycidyl ether (BDDE) is maintained at an undetectable level for HA-QSG hydrogels. Amino acid analysis showed that the HA-QSG hydrogel had rich amino acid concentrations of leucine, arginine, and valine. After thermal sterilization, the elastic modulus of HA-QSG gels for dermal and intra-articular filler applications is 63 Pa and 92 Pa respectively. …