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Photophysical, Thermal, And Dft Studies On A Tetraaryl-Azadipyrromethene Ligand And Its Zinc(Ii) Complex, Gökhan Sevi̇nç
Photophysical, Thermal, And Dft Studies On A Tetraaryl-Azadipyrromethene Ligand And Its Zinc(Ii) Complex, Gökhan Sevi̇nç
Turkish Journal of Chemistry
An azadipyrromethene ligand (H1) and homoleptic zinc(II) (H1-Zn) complex were synthesized. The resulting structures were elucidated by NMR, FTIR, and HRMS techniques. The photophysical properties and effects of complexing the zinc(II) atom to azadipyrromethene ligands in solution were studied by means of UV-Vis absorption and fluorescence spectroscopy. Experimental findings were elucidated using density functional theory computations and interfragment charge transfer (IFCT) and electron-hole analyses. The fluorescence features were found to be negligible. The ligand molecule decayed at a rate of 3% while the complex decayed at 2% upon photoirradiation based on photostability experiments. The singlet oxygen quantum yields of the …
Removal Of Toxic Cr(Vi) From Aqueous Medium With Effective Magnetic Carbon-Based Nanocomposites, Ferda Ci̇van Çavuşoğlu, Gülsüm Özçeli̇k, Şahi̇ka Sena Bayazi̇t
Removal Of Toxic Cr(Vi) From Aqueous Medium With Effective Magnetic Carbon-Based Nanocomposites, Ferda Ci̇van Çavuşoğlu, Gülsüm Özçeli̇k, Şahi̇ka Sena Bayazi̇t
Turkish Journal of Chemistry
Cr(VI), which has toxic effects, is a heavy metal and it must be removed from the environment due to the various damages it causes. In this study, the removal of Cr(VI) pollutants from aqueous solutions with Fe3O4-based materials using a batch adsorption technique was investigated. Magnetically modified graphene nanoplatelet (GNP)-based nanocomposites were prepared and their structures were characterized by FTIR, XRD, SEM, BET, and TGA techniques. The effects of various physicochemical parameters such as adsorbent dose, contact time, initial Cr(VI) solution concentration, pH, and the presence of coexisting ions (NaCl) on the adsorption process were investigated. Accordingly, the optimum conditions …
Synthesis And Singlet Oxygen Generation Of Boron- 2-(4,5-Dibromo-1h-Imidazole-2-Yl)-3,5-Dipyrazolopyridine Complex For Antimicrobial Photodynamic Therapy, Zeynep Ekmekçi̇, Seda Karaoğlu
Synthesis And Singlet Oxygen Generation Of Boron- 2-(4,5-Dibromo-1h-Imidazole-2-Yl)-3,5-Dipyrazolopyridine Complex For Antimicrobial Photodynamic Therapy, Zeynep Ekmekçi̇, Seda Karaoğlu
Turkish Journal of Chemistry
In this study, the pyridine side of a boron 2-(2'-pyridyl) imidazole (BOPIM) core, which has very few derivatives synthesized in the literature and can show fluorescence properties in solid form, was derivatized with 1-methylpyrazole, predicted to have activity against fungi or bacteria according to the literature. Additionally, its imidazole side was brominated to increase the efficiency of singlet oxygen production by increasing the intersystem crossing. The photophysical properties of the new synthesized BOPIM derivative were investigated in general organic solvents with different polarities. While the wavelength of the maximum absorbance was determined as 406 nm in CH2Cl2 and THF, the …
Quaternized Chitosan/Pva/Natural Bioactive Agent Electrospun Wound Scaffolds: Production, Characterization, And Investigation Of Release Kinetics, Ezgi Eren Belgin, Cankiz Gi̇zem Deli̇balta
Quaternized Chitosan/Pva/Natural Bioactive Agent Electrospun Wound Scaffolds: Production, Characterization, And Investigation Of Release Kinetics, Ezgi Eren Belgin, Cankiz Gi̇zem Deli̇balta
Turkish Journal of Chemistry
Quaternized chitosan (HTCC) was synthesized and characterized to increase chitosan solubility. Then HTCC was electrospun with poly (vinyl alcohol) (PVA) and prepared natural bioactive agent (Calendula officinalis) extract was loaded onto fibers for wound scaffold applications. Morphological, structural, and mechanical characterization of the produced wound scaffolds was performed and their in vitro bioactive component release behavior was investigated. As a result, it was observed that the degree of quaternization of chitosan was 0.89, and synthesized HTCC was soluble in acidic, basic, alkaline media and could be electrospun with PVA in the presence of a natural bioactive agent. The presence of …
Ph Responsive Curcumin Released From Urea-Amine Group Functionalized Mesoporous Organosilica Nanoparticles, Osman Tayyar Arli, Yaşar Gök, Hali̇l Zeki̇ Gök
Ph Responsive Curcumin Released From Urea-Amine Group Functionalized Mesoporous Organosilica Nanoparticles, Osman Tayyar Arli, Yaşar Gök, Hali̇l Zeki̇ Gök
Turkish Journal of Chemistry
Studies on natural products with anticancer properties have gained more importance in recent years in order to not damage healthy tissues during cancer treatments or to perform the treatment causing the least damage. Curcumin is a common natural product with anticancer properties, but its low solubility, instability, and bioavailability have limited its use in clinical applications in cancer research. As a proposed solution to this problem, a new mesoporous organosilica nanocarrier (MON-A) functionalized with a 1,2-diphenylethane-1,2-diamine structure capable of pH-controlled release was prepared in this study. MON-A was characterized by TGA, BET, XRD, FT-IR, and SEM-EDS analyses. Dispersion of MON-A …
Production Of Gelatin Fibrous Mats Using Different Nanofiber Production Methods For Medical Applications And Comparison Of Their Properties, Melike Güngör, Kevser Sağlamkol, Zeynep Yağmur Baydemi̇r, Ali̇ Kiliç
Production Of Gelatin Fibrous Mats Using Different Nanofiber Production Methods For Medical Applications And Comparison Of Their Properties, Melike Güngör, Kevser Sağlamkol, Zeynep Yağmur Baydemi̇r, Ali̇ Kiliç
Turkish Journal of Chemistry
In the literature, there are studies on medical applications using different nanofiber production methods with natural polymers. However, each system has different fiber-forming capabilities. For this reason, in this study, we investigated the production of nanofibers from a biodegradable natural polymer, gelatin, using four separate nanofiber production methods, namely electrospinning (ES), electroblowing (EB), solution blowing (SB), and centrifugal spinning (CS). Our aim was to determine the most suitable fibrous web structure for medical applications and contribute to science in this respect. It was observed that the thinnest fibers (386 nm) and the heaviest mats (15.975 g m–2) were produced by …
Comparison Of Metal-Carbenoid Reactions Of Β-2-Five-Membered Heteroaryl Substituted Α,Β-Unsaturated Ketones, Kumsal Eroğlu, Olcay Anaç, Füsun Şeyma Kişkan
Comparison Of Metal-Carbenoid Reactions Of Β-2-Five-Membered Heteroaryl Substituted Α,Β-Unsaturated Ketones, Kumsal Eroğlu, Olcay Anaç, Füsun Şeyma Kişkan
Turkish Journal of Chemistry
In this study, β-2-heteroaryl substituted (N-methyl 2-pyrrolyl, 2-thiophenyl, 2-furyl) α,β-unsaturated ketones were reacted with two α-diazo carbonyl compounds that had different characteristics (dimethyl diazo malonate and 1-diazo-1-phenyl-propane-2-one) in the presence of both copper and rhodium catalysts. In the case of reactions with N-methyl 2-pyrrolyl α,β-unsaturated ketones, the major product was the insertion derivative. However, in the reactions of 2-thiophenyl and 2-furyl α,β-unsaturated ketones with dimethyl diazomalonate (acceptor-acceptor disubstituted), only dihydrofuran products were formed over carbonyl ylides. When 2-thiophenyl and 2-furyl α,β-unsaturated ketones were reacted with 1-diazo-1-phenyl-propane-2-one (donor-acceptor disubstituted), 1-phenylpropane-1,2-dione was obtained under our reaction conditions.
Scope And Limitations Of The Preparation Of Xanthones Using Eaton’S Reagent, Johann Bosson
Scope And Limitations Of The Preparation Of Xanthones Using Eaton’S Reagent, Johann Bosson
Turkish Journal of Chemistry
Xanthones comprise a large family of heterocycles displaying fascinating biological properties. Many synthetic protocols have been developed for the preparation of natural and nonnatural xanthone derivatives. Among them, condensation reactions between salicylic acid derivatives and phenol partners are highly desirable. Those reactions can be satisfactorily performed using Eaton’s reagent (P2O5 in CH3SO3H). Despite being highly effective with a variety of substrates, this approach presents limitations that depend on the electronic nature of the reaction precursors. The scope and limitations of the Eaton’s reagent-mediated preparation of xanthones are herein presented and discussed. In short, this approach is limited to the utilization …
Intercalation Of Pyrazolone-Based Oxalamide Metal Complexes Into Na-Montmorillonite For Catalytic Liquid-Phase Oxidation Of Phenol Using H2o2, Serhat Uzan, Eyüp Başaran
Intercalation Of Pyrazolone-Based Oxalamide Metal Complexes Into Na-Montmorillonite For Catalytic Liquid-Phase Oxidation Of Phenol Using H2o2, Serhat Uzan, Eyüp Başaran
Turkish Journal of Chemistry
The intercalation of pyrazolone-based oxalamide metal complexes into Na-montmorillonite (Na-MMT) for catalytic liquid-phase oxidation of phenol using H2O2 was undertaken by a flexible ligand method using metal ions including Mn(II), Zn(II), and Sn(II). First, the metal ions were exchanged with the sodium ions of Na-MMT, and then these metal ions were complexed with a new pyrazolone-based oxalamide ligand. The intercalated metal complexes were characterized by Fourier transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy, energy-dispersive X-ray spectroscopy, elemental analysis, and thermogravimetric analysis. Phenol was successfully oxidized by heterogeneous catalysts based on Mn(II), Zn(II), and Sn(II) pyrazolone-based oxalamide complexes intercalated into …
Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer
Deep Learning In Bioinformatics, Malik Yousef, Jens Allmer
Turkish Journal of Biology
Deep learning is a powerful machine learning technique that can learn from large amounts of data using multiple layers of artificial neural networks. This paper reviews some applications of deep learning in bioinformatics, a field that deals with analyzing and interpreting biological data. We first introduce the basic concepts of deep learning and then survey the recent advances and challenges of applying deep learning to various bioinformatics problems, such as genome sequencing, gene expression analysis, protein structure prediction, drug discovery, and disease diagnosis. We also discuss future directions and opportunities for deep learning in bioinformatics. We aim to provide an …
Classification Of Colon Cancer Patients Into Consensus Molecular Subtypes Using Support Vector Machines, Necla Koçhan, Baris Emre Dayanc
Classification Of Colon Cancer Patients Into Consensus Molecular Subtypes Using Support Vector Machines, Necla Koçhan, Baris Emre Dayanc
Turkish Journal of Biology
Background/aim: The molecular heterogeneity of colon cancer has made classification of tumors a requirement for effective treatment. One of the approaches for molecular subtyping of colon cancer patients is the Consensus Molecular Subtypes (CMS) developed by the Colorectal Cancer Subtyping Consortium (CRCSC). CMS-specific RNA-Seq dependent classification approaches are recent with relatively low sensitivity and specificity. In this study, we aimed to classify patients into CMS groups using RNA-seq profiles. Materials and methods: We first identified subtype specific and survival associated genes using Fuzzy C-Means (FCM) algorithm and log-rank test. Then we classified patients using Support Vector Machines with Backward Elimination …
Svm-Do: Identification Of Tumor-Discriminating Mrna Signatures Via Support Vectormachines Supported By Disease Ontology, Mustafa Erhan Özer, Pemra Özbek Sarica, Kazim Yalçin Arğa
Svm-Do: Identification Of Tumor-Discriminating Mrna Signatures Via Support Vectormachines Supported By Disease Ontology, Mustafa Erhan Özer, Pemra Özbek Sarica, Kazim Yalçin Arğa
Turkish Journal of Biology
Background/aim: The complicated nature of tumor formation makes it difficult to identify discriminatory genes. Recently, transcriptome-based supervised classification methods using support vector machines (SVMs) have become popular in this field. However, the inclusion of less significant variables in the construction of classification models can lead to misclassification. To improve model performance, feature selection methods such as enrichment analysis can be used to extract useful variable sets. The detection of genes that can discriminate between normal and tumor samples in the association of cancer and disease remains an area of limited information. We therefore aimed to discover novel and practical sets …
Comparison Of The Effectiveness Of Instrument-Assisted Soft Tissue Mobilization And Extracorporeal Shock Wave Therapy In Myofascial Pain Syndrome, Şeyda Candeni̇z, Seyi̇t Çitaker, Gökhan Maraş, Hati̇ce Esra Yavuzer, Hasan Yildirim, Zafer Günendi̇
Comparison Of The Effectiveness Of Instrument-Assisted Soft Tissue Mobilization And Extracorporeal Shock Wave Therapy In Myofascial Pain Syndrome, Şeyda Candeni̇z, Seyi̇t Çitaker, Gökhan Maraş, Hati̇ce Esra Yavuzer, Hasan Yildirim, Zafer Günendi̇
Turkish Journal of Medical Sciences
Background/aim: To compare the effectiveness of instrument-assisted soft tissue mobilization (IASTM) and extracorporeal shock wave therapy (ESWT) used in myofascial pain syndrome (MPS) and to determine whether they are superior to conservative treatment (CT). Materials and methods: A total of 42 female patients (aged 18-60 years) diagnosed with MPS were enrolled and randomly assigned to either the CT (n = 14), CT+IASTM (n = 14), or CT+ESWT group (n = 14). All of the groups received treatment for 3 weeks (CT: 5 sessions per week, 15 sessions in total, ESWT and IASTM: 2 sessions per week, 6 sessions in total). …
Energy Crop Yield Simulation And Prediction System Based On Machinelearning Algorithm, Jie Zhang, Zhidong Liu
Energy Crop Yield Simulation And Prediction System Based On Machinelearning Algorithm, Jie Zhang, Zhidong Liu
Turkish Journal of Agriculture and Forestry
The yield of energy crops has been widely questioned by the public, but few researchers have analyzed the yield prediction of these crops, which has greatly limited their distribution and use. Based on this, in this study, a machine learning algorithm was used to design an energy crop yield simulation and prediction system, and this system was used to analyze the yields of four common energy crops. First the factors that affect the yield of energy crops are discussed, and then, the analysis of the machine learning algorithm and its application in the yield prediction of energy crops is presented, …
Exploration Of Agricultural Iot Breeding Tracking Based On A Saliency Visual Targettracking Algorithm, Fuzhi Wang, Changlin Song, Daijun Jiang
Exploration Of Agricultural Iot Breeding Tracking Based On A Saliency Visual Targettracking Algorithm, Fuzhi Wang, Changlin Song, Daijun Jiang
Turkish Journal of Agriculture and Forestry
The Internet of Things (IoT) is a development trend in modern industry and life. It can not only reduce the cost of industry and agriculture, but also improve the quality of products and the quality of people’s lives. Therefore, IoT breeding is the embodiment of modern intelligent agriculture. For example, in the estrus detection of beef cattle, the quality of video images when tracking beef cattle is reduced due to changes in external climate conditions and the difference between daytime and nighttime illumination. This paper introduces a visual target tracking algorithm based on saliency, so that it has better applicability …
Drying Of Mushrooms By Alternative Technologies, Zi̇nnur Yağmur Buğday, Kübra Ertan, Sema Zeren, Serpi̇l Şahi̇n, Servet Gülüm Şümnü
Drying Of Mushrooms By Alternative Technologies, Zi̇nnur Yağmur Buğday, Kübra Ertan, Sema Zeren, Serpi̇l Şahi̇n, Servet Gülüm Şümnü
Turkish Journal of Agriculture and Forestry
This review addresses alternative technologies in edible mushroom drying. Principles of application and the literature are highlighted. The objective is to identify and discuss the potential advantages and drawbacks and to elaborate future applications of electrohydrodynamic, freeze, infrared, and microwave technologies in mushroom drying. The advantages of these alternative technologies can be listed as better quality, improved energy efficiency, and reduced processing time. Each method is promising in adding value to dried mushroom products. On the other hand, replacement of the conventional drying technique requires process optimization practices and feasibility analysis, especially for combined applications.
Exploring The Potential Of Osmotic Dehydration With Honey To Develop Value-Addedfood From Watermelon (Citrullus Lanatus) Rind, Jaspreet Kaur, Dilpreet Singh Brar, Vikas Nanda
Exploring The Potential Of Osmotic Dehydration With Honey To Develop Value-Addedfood From Watermelon (Citrullus Lanatus) Rind, Jaspreet Kaur, Dilpreet Singh Brar, Vikas Nanda
Turkish Journal of Agriculture and Forestry
This study demonstrates the viability of sustainably utilizing watermelon rind, a byproduct, by developing intermediate moisture food (IMF) through osmotic dehydration with honey as a sugar substitute. Response surface methodology and an artificial neural network were employed to optimize the process, and enhanced solid gain and water loss were achieved. The findings revealed that temperature exerted the most significant influence, followed by the solution-to-rind ratio, immersion time, and osmotic solution concentration, impacting water loss and solid gain in the IMF product. The optimized parameters for maximum water loss and solute gain were a temperature range of 330.15–331.15 K, immersion time …
Cereal–Vegetable Intercropping: Hindrances And Strategies To Increase Intercropping, Iqra Zaki̇r, Ahmad Abdul Wahab, Tahira Abbas, Sakeena Tul-Ain Haider, Sobia Irum, Samreen Sabir, Sajjad Hussain, Shakeel Ahmad
Cereal–Vegetable Intercropping: Hindrances And Strategies To Increase Intercropping, Iqra Zaki̇r, Ahmad Abdul Wahab, Tahira Abbas, Sakeena Tul-Ain Haider, Sobia Irum, Samreen Sabir, Sajjad Hussain, Shakeel Ahmad
Turkish Journal of Agriculture and Forestry
Climate change is the major factor that affects crop yield and productivity in the long term. The changing climate scenario is now impacting farmers’ lands and their outcomes in both developed and developing countries. The intercropping of crop species or varieties that have high arable capability is a promising technique for increasing crop production without increasing agricultural inputs. In intercropping, the selection of varieties, optimum sowing time, method of plant arrangement, and sowing proportion are required to make the design suitable for an intercropping system. Intercropping is one of the most highlighted agronomic practices helping to improve soil health (structure, …
Charge Transfer Evaluation In Solid Insulating Materials Encapsulating The Gaseous Voids Of Submillimeter Dimensions Using Transmission Line Method, Amin Shamsi, Alireza Ganjovi, Amir Abas Shayegani Akmal
Charge Transfer Evaluation In Solid Insulating Materials Encapsulating The Gaseous Voids Of Submillimeter Dimensions Using Transmission Line Method, Amin Shamsi, Alireza Ganjovi, Amir Abas Shayegani Akmal
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, using a lumped RC circuit model which is based on transmission line modeling (TLM) method, the charge transfer in a solid insulating system encapsulating a gaseous void of submillimeter dimensions is evaluated. Here, both the dielectric material and gaseous void are considered simultaneously as a transmission line. The transmission line includes the capacitive and resistance elements and, the obtained circuit equations were coupled with the continuity and kinetic energy equations for charged species along with Poisson's equation. These equations are solved via 4th order Runge-Kutta method and, the electric field and potential, density of all the charged …
A Practical Low-Dimensional Feature Vector Generation Method Based On Wavelet Transform For Psychophysiological Signals, Erdem Erkan, Yasemi̇n Erkan
A Practical Low-Dimensional Feature Vector Generation Method Based On Wavelet Transform For Psychophysiological Signals, Erdem Erkan, Yasemi̇n Erkan
Turkish Journal of Electrical Engineering and Computer Sciences
High-dimensional feature vectors entail computational cost and computational complexity. However, a successful classification can be obtained with an optimally sized feature vector consisting of distinctive features. With the widespread use of the internet and mobile devices, the need for systems with low computational costs is increasing day by day. In this study, starting from the idea that each motor imagery is represented as a subject-specific pattern in the brain, we propose a new and practical method that can generate a low-dimensional feature vector based on wavelet transform. The feature vector is obtained from the correlation between each trial and each …
Lsav: Lightweight Source Address Validation In Sdn To Counteract Ip Spoofing-Based Ddos Attacks, Ali̇ Karakoç, Fati̇h Alagöz
Lsav: Lightweight Source Address Validation In Sdn To Counteract Ip Spoofing-Based Ddos Attacks, Ali̇ Karakoç, Fati̇h Alagöz
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we propose a design to detect and prevent IP spoofing-based distributed denial of service (DDoS) attacks on software-defined networks (SDNs). DDoS attacks are still one of the significant problems for internet service providers (ISPs) and individual users. These attacks can disrupt customer services by targeting the availability of the system, and in some cases, they can completely shut down the target infrastructure. Protecting the system against DDoS attacks is therefore crucial for ensuring the reliability and availability of internet services. To address this problem, we propose a lightweight source address validation (LSAV) framework that leverages the flexibility …
Exploring The Impact Of Training Datasets On Turkish Stance Detection, Muhammed Sai̇d Zengi̇n, Berk Utku Yeni̇sey, Mücahi̇d Kutlu
Exploring The Impact Of Training Datasets On Turkish Stance Detection, Muhammed Sai̇d Zengi̇n, Berk Utku Yeni̇sey, Mücahi̇d Kutlu
Turkish Journal of Electrical Engineering and Computer Sciences
Stance detection has garnered considerable attention from researchers due to its broad range of applications, including fact-checking and social computing. While state-of-the-art stance detection models are usually based on supervised machine learning methods, their effectiveness is heavily reliant on the quality of training data. This problem is more prevalent in stance detection task because the stance of a text is intimately tied to the target under consideration. While numerous datasets exist for stance detection, determining their suitability for a specific target can be challenging. In this work, we focus on Turkish stance detection and explore the impact of training data …
A Comparative Study Of Blind Source Separation Methods, Burak Baysal, Mehmet Önder Efe
A Comparative Study Of Blind Source Separation Methods, Burak Baysal, Mehmet Önder Efe
Turkish Journal of Electrical Engineering and Computer Sciences
Blind source separation is a popular research topic used for decomposing mixed signals, particularly in the field of music. In addition to exploring machine learning-based approaches, this study aims to examine the performance of classical algorithms in separating audio signal sources. The evaluation of different genres is a significant aspect of this study as the performance of the methods may vary across various musical genres and different audio components. This consideration provides a novel perspective and contributes to a comprehensive analysis of the algorithms. Using the MusDB-HQ dataset, we conducted experimental studies comparing classical algorithms, including FastICA, NMF, and DUET, …
New Modified Carrier-Based Level-Shifted Pwm Control For Npc Rectifiers Considered For Implementation In Ev Fast Chargers, Merve Mollahasanoğlu, Hakki Mollahasanoğlu, Hali̇l İbrahi̇m Okumuş
New Modified Carrier-Based Level-Shifted Pwm Control For Npc Rectifiers Considered For Implementation In Ev Fast Chargers, Merve Mollahasanoğlu, Hakki Mollahasanoğlu, Hali̇l İbrahi̇m Okumuş
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, the aim is to evaluate three-phase (3?) AC/DC neutral point-clamped (NPC) power factor corrected (PFC) multilevel converter performance for electric vehicle (EV) fast chargers. Power factor correction for EV fast chargers is very important in terms of efficient power usage and charger compatibility with the grid. Multilevel converters improve charging efficiency, reduce voltage stresses on components, minimize electromagnetic interference, and support high power capabilities. For this reason, multilevel converters with the PFC feature contribute to the reliable and effective operation of the fast-charging infrastructure. Rectifier analysis is tested with extensive simulations using a new modified carrier-based level-shifted …
A Comparative Study Of Yolo Models And A Transformer-Based Yolov5 Model For Mass Detection In Mammograms, Damla Coşkun, Dervi̇ş Karaboğa, Alper Baştürk, Bahri̇ye Akay, Özkan Ufuk Nalbantoğlu, Serap Doğan, İshak Paçal, Meryem Altin Karagöz
A Comparative Study Of Yolo Models And A Transformer-Based Yolov5 Model For Mass Detection In Mammograms, Damla Coşkun, Dervi̇ş Karaboğa, Alper Baştürk, Bahri̇ye Akay, Özkan Ufuk Nalbantoğlu, Serap Doğan, İshak Paçal, Meryem Altin Karagöz
Turkish Journal of Electrical Engineering and Computer Sciences
Breast cancer is a prevalent form of cancer across the globe, and if it is not diagnosed at an early stage it can be life-threatening. In order to aid in its diagnosis, detection, and classification, computer-aided detection (CAD) systems are employed. You Only Look Once (YOLO)-based CAD algorithms have become very popular owing to their highly accurate results for object detection tasks in recent years. Therefore, the most popular YOLO models are implemented to compare the performance in mass detection with various experiments on the INbreast dataset. In addition, a YOLO model with an integrated Swin Transformer in its backbone …
Machine Learning Based Bioinformatics Analysis Of Intron Usage Alterations And Metabolic Regulation In Adipose Browning, Hamza Umut Karakurt, Pinar Pi̇r
Machine Learning Based Bioinformatics Analysis Of Intron Usage Alterations And Metabolic Regulation In Adipose Browning, Hamza Umut Karakurt, Pinar Pi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Adipose tissue is the major energy depot of the body and is considered an endocrine organ. Adipose tissue involves many different cell types, first and foremost, the adipocytes. White adipose cells that store fat and brown adipocytes that take part in lipid oxidation and heat generation are the most common cell types in adipose tissue. Even though brown adipocytes which have a high number of mitochondria and high fat-burning capacity are rare in adults, they are abundant in newborns and rodents. White adipocytes can gain a temporal brown-like character with a process called browning, which can be induced with cold …
Feature Selection Optimization With Filtering And Wrapper Methods: Two Disease Classification Cases, Serhat Ati̇k, Tuğba Dalyan
Feature Selection Optimization With Filtering And Wrapper Methods: Two Disease Classification Cases, Serhat Ati̇k, Tuğba Dalyan
Turkish Journal of Electrical Engineering and Computer Sciences
Discarding the less informative and redundant features helps to reduce the time required to train a learning algorithm and the amount of storage required, improving the learning accuracy as well as the quality of results. In this study, we present different feature selection approaches to address the problem of disease classification based on the Parkinson and Cardiac Arrhythmia datasets. For this purpose, first we utilize three filtering algorithms including the Pearson correlation coefficient, Spearman correlation coefficient, and relief. Second, metaheuristic algorithms are compared to find the most informative subset of the features to obtain better classification accuracy. As a final …
A Novel Computing Scheme Based On Pattern Matching For Identification Of Nephron Loss And Chronic Kidney Disease Stage, Rehan Ahmad, Basant Mohanty
A Novel Computing Scheme Based On Pattern Matching For Identification Of Nephron Loss And Chronic Kidney Disease Stage, Rehan Ahmad, Basant Mohanty
Turkish Journal of Electrical Engineering and Computer Sciences
Nephrons are the basic filtering units of the kidneys. Progression of chronic kidney disease (CKD) destroys nephrons permanently. Although there are many computing schemes suggested in recent years to identify CKD stages, no computing method has been suggested for identifying the nephron loss within kidney regions during CKD progression. In this paper, a novel pattern matching-based computation scheme is proposed to detect nephron loss in the kidney regions during CKD progression. We consider image registration (IR) with different transforms and a structural similarity index algorithm (SSIM) to match patterns of ultrasound images of kidney regions to identify the nephron loss. …
Fuzzycsampling: A Hybrid Fuzzy C-Means Clustering Sampling Strategy For Imbalanced Datasets, Abdullah Maraş, Çi̇ğdem Erol
Fuzzycsampling: A Hybrid Fuzzy C-Means Clustering Sampling Strategy For Imbalanced Datasets, Abdullah Maraş, Çi̇ğdem Erol
Turkish Journal of Electrical Engineering and Computer Sciences
Classification model with imbalanced datasets is recently one of the most researched areas in machine learning applications since they induce to the emergence of low-performing machine learning models. The imbalanced datasets occur if target variables have an uneven number of examples in a dataset. The most prevalent solutions to imbalanced datasets can be categorized as data preprocessing, ensemble techniques, and cost-sensitive learning. In this article, we propose a new hybrid approach for binary classification, named FuzzyCSampling, which aims to increase model performance by ensembling fuzzy c-means clustering and data sampling solutions. This article compares the proposed approaches' results not only …