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Synthesis, Characterization, And Photophysical And Fluorescence Sensor Behaviors Of A New Water-Soluble Double-Bridged Naphthalene Diimide Appended Cyclotriphosphazene, Süreyya Oğuz Tümay, Serkan Yeşi̇lot
Synthesis, Characterization, And Photophysical And Fluorescence Sensor Behaviors Of A New Water-Soluble Double-Bridged Naphthalene Diimide Appended Cyclotriphosphazene, Süreyya Oğuz Tümay, Serkan Yeşi̇lot
Turkish Journal of Chemistry
A new water-soluble template of double-bridged naphthalene diimide appended cyclotriphosphazene was prepared, and its photophysical and sensor behaviors were evaluated. The characterization of novel double-bridged naphthalene diimide appended cyclotriphosphazene (6) was carried out by NMR (1 H, 13C, 31P) and mass spectroscopies. The photophysical behaviors of compound 6 were evaluated by UV-Vis absorption and fluorescence spectroscopies in various solvent systems and different concentrations. As an application for usability of the obtained water-soluble template in different applications, the fluorescence sensor property of compound 6 was investigated in the presence of many different competing species (organic acids, saccharides, nitroaromatic compounds, anions, and …
Cryogelation Reactions And Cryogels: Principles And Challenges, Oğuz Okay
Cryogelation Reactions And Cryogels: Principles And Challenges, Oğuz Okay
Turkish Journal of Chemistry
Cryogelation is a powerful technique for producing macroporous hydrogels called cryogels. Although cryogelation reactions and cryogels were discovered more than 70 years ago, they attracted significant interest only in the last 20 years mainly due to their extraordinary properties compared to the classical hydrogels such as a high toughness, almost complete squeezability, a mechanically stable porous structure with honeycomb arrangement, poroelasticity, and fast responsivity against external stimuli. In this mini review, general properties of cryogelation systems including the cryoconcentration phenomenon responsible for the unique properties of the cryogels are discussed. The squeezability and poroelasticity of cryogels comparable to those seen …
Comparative Study Of Electrochemical-Based Sensors And Immunosensors In Terms Of Advantageous Features For Detection Of Cancer Biomarkers, Göksu Özçeli̇kay, Ahmet Çeti̇nkaya, Sari̇ye İrem Kaya, Si̇bel Ayşil Özkan
Comparative Study Of Electrochemical-Based Sensors And Immunosensors In Terms Of Advantageous Features For Detection Of Cancer Biomarkers, Göksu Özçeli̇kay, Ahmet Çeti̇nkaya, Sari̇ye İrem Kaya, Si̇bel Ayşil Özkan
Turkish Journal of Chemistry
Cancer, becoming increasingly common globally, has a high mortality rate. Despite the much research on diagnosis and treatment methods, the benefits of technological developments, and newly developed sensor devices, cancer is still one of the leading causes of death worldwide. Early detection using powerful and noninvasive tools could be a future focus for prognosis and treatment follow-up. Therefore, electrochemical biosensors can be a strong choice for the detection of cancer biomarkers (such as alpha-fetoprotein, cytochrome c, prostate-specific antigen, myoglobin, carcinoembryonic antigen, alpha-fetoprotein, a cancer antigen, epidermal growth factor receptor, vascular endothelial growth factor, circulating tumor cell, and breast cancer antigen …
Ph-Responsive Intermediary Layer Cross-Linked Micelles From Zwitterionic Triblock Copolymers And Investigation Of Their Drug-Release Behaviors, Agung Ari Wibowo, Vural Bütün
Ph-Responsive Intermediary Layer Cross-Linked Micelles From Zwitterionic Triblock Copolymers And Investigation Of Their Drug-Release Behaviors, Agung Ari Wibowo, Vural Bütün
Turkish Journal of Chemistry
ABC-type triblock copolymers, namely poly[(ethylene glycol)methyl ether]-block-poly(tert-butyl methacrylate)-block-poly[2-N-(diisopropylamino)ethyl methacrylate] (MPEG-b-PBuMA-b-PDPA), were first synthesized and then the middle blocks were successfully converted into poly(methacrylic acid) to obtain MPEG-b-PMAA-b-PDPA zwitterionic triblock copolymers. These block copolymers were soluble in water and formed micellar aggregates with complex cores via hydrogen bonding interactions between MPEG and PMAA blocks below pH 4.0. When the pH was between 5.0 and 7.0, due to charge compensation between partially protonated PDPA and partially ionized PMAA blocks, micelles with polyion complex cores were observed. If the solution pH was above 8.0, deprotonation of tertiary amine groups provided a hydrophobic character …
Architecture Design Of Tio2 With Co-Doped Cds Quantum Dots Photoelectrode For Water Splitting, Fati̇h Tezcan, Abrar Ahmad, Gülfeza Kardaş
Architecture Design Of Tio2 With Co-Doped Cds Quantum Dots Photoelectrode For Water Splitting, Fati̇h Tezcan, Abrar Ahmad, Gülfeza Kardaş
Turkish Journal of Chemistry
Photoelectrochemical hydrogen production is a critical key to solving the carbon-zero goal of countries due to renewable sources of solar light and combustion products of hydrogen-only water. Here, an architecture design for an n-type nano rosettes-rod TiO2 (RT) surface using CdS and Co-doped CdS quantum dots (QDs) is carried out utilizing the SILAR (simple ionic layer adsorption and reaction) method. Furthermore, the photocatalytic behaviour of Co-doped CdS QDs SILAR cycles deposition is investigated in various cycles, including 5, 8, 10, and 12. The FESEM, Raman XRD, Uv-Vis spectrometer, and vibration modes are used to evaluate the photoelectrode surface structure, crystal …
A Facile Tert-Butyl Nitrite-Assisted Preparation Of Deamino Graphitic Carbon Nitride (Da-Gcn) As A Photocatalyst For The C-H Arylation Of Heteroarenes Using Anilines As Radical Source, Palani Natarajan, Begümhan Karapinar Koç, Önder Meti̇n
A Facile Tert-Butyl Nitrite-Assisted Preparation Of Deamino Graphitic Carbon Nitride (Da-Gcn) As A Photocatalyst For The C-H Arylation Of Heteroarenes Using Anilines As Radical Source, Palani Natarajan, Begümhan Karapinar Koç, Önder Meti̇n
Turkish Journal of Chemistry
In pristine graphitic carbon nitride (g-CN), amino groups often function as structural defects that trap photogenerated charges, resulting in low photocatalytic activity as well as reaction with nitrite, aldehyde, etc., ensuing in poor product yield. Without significantly altering the optical characteristics, the removal of amino groups is necessary to increase the photocatalytic activity and structural stability of pristine g-CN. The deamino graphitic carbon nitride (DA-gCN-5) was prepared by tert-butyl nitrite (TBN)- treatment, characterized and used as a photocatalyst for the radical C-H arylation of heteroarenes using anilines as radical source. Indeed, the photophysical characteristics of DA-gCN-5 and those of pristine …
Recommendations For Improving The Experimental Protocol For The Determination Of Photocatalytic Activity By Nitric Oxide Oxidation Measurements, Seli̇n Ernam, Zeynep Ece Akgül, Deni̇z Üner
Recommendations For Improving The Experimental Protocol For The Determination Of Photocatalytic Activity By Nitric Oxide Oxidation Measurements, Seli̇n Ernam, Zeynep Ece Akgül, Deni̇z Üner
Turkish Journal of Chemistry
The photocatalytic nitric oxide (NO) oxidation reaction is used as a standard diagnostic tool for photocatalytic activity according to the well-defined protocol described by ISO Standard 22197-1-2007. This protocol identifies the negative peak showing a NOx concentration drop during a gas flow switch from the calibration bypass to the reactor as adsorption of NOx on the surface. Evidence is provided for this first transient to be due to a dilution effect in the gas phase within the reactor. With proper models of residence time distribution analysis, this transient revealed the internal hydrodynamics and it can be used to determine the …
The Importance Of Length And Area Estimate For Forensic Medicine Without Using A Measurement Tool, Ahmet Turla, Hüseyi̇n Kara, Ni̇lay Cankurt Ayar, Berna Aydin, Fulya Zeynep Levent, Oğuzhan Külbaz
The Importance Of Length And Area Estimate For Forensic Medicine Without Using A Measurement Tool, Ahmet Turla, Hüseyi̇n Kara, Ni̇lay Cankurt Ayar, Berna Aydin, Fulya Zeynep Levent, Oğuzhan Külbaz
Turkish Journal of Medical Sciences
Background/aim: Accurately measuring and recording the length or area of lesions affects the judgement of the forensic report, surgical wound management and, in some countries, the billing of health care services. The aim of this study was to determine whether the length and area of lesions described by physicians by estimation are accurate. Materials and methods: This study was designed as a cross-sectional descriptive study and was conducted with 494 participants consisting of internists and physicians at Ondokuz Mayıs University, Faculty of Medicine. The participants were asked to estimate the lengths or areas of 6 different shapes in the questionnaire …
The Effect Of Natural Surfactants On The Development Of Postoperative Intraabdominal Adhesion, Ahmet Gökhan Güler, Ali̇ Erdal Karakaya, Ahmet Burak Doğan, Abdulkadi̇r Yasi̇r Bahar, Sadik Yurttutan
The Effect Of Natural Surfactants On The Development Of Postoperative Intraabdominal Adhesion, Ahmet Gökhan Güler, Ali̇ Erdal Karakaya, Ahmet Burak Doğan, Abdulkadi̇r Yasi̇r Bahar, Sadik Yurttutan
Turkish Journal of Medical Sciences
Background/aim: The development of postoperative adhesion after abdominal surgery is sometimes a severe problem. Our study investigates the effectiveness of exogenous surfactant application in preventing adhesion development in the experimental adhesion model. Materials and methods: This randomized-controlled interventional study was carried out in the animal laboratory of Kahramanmaraş Sütçü İmam University between March 1 and March 31, 2020. An experimental intra-abdominal adhesion model was established in 24 adult female rats by cecal abrasion. Rats were randomly divided into four groups. Groups I, II, and III were taken intraperitoneally as beractant, poractant, and calfactant applied groups, respectively. Group IV was the …
Current Developments In Surface Electromyography, Veysel Alcan, Murat Zi̇nnuroğlu
Current Developments In Surface Electromyography, Veysel Alcan, Murat Zi̇nnuroğlu
Turkish Journal of Medical Sciences
Background/aim: Surface electromyography (surface EMG) is a primary technique to detect the electrical activities of muscles through surface electrodes. In recent years, surface EMG applications have grown from conventional fields into new fields. However, there is a gap between the progress in the research of surface EMG and its clinical acceptance, characterized by the translational knowledge and skills in the widespread use of surface EMG among the clinician community. To reduce this gap, it is necessary to translate the updated surface EMG applications and technological advances into clinical research. Therefore, we aimed to present a perspective on recent developments in …
The Press-Fit Technique Without Screws And Bone Graft Can Be Used As An Alternative Method In Crowe Type Ii And Iii Hip Dysplasia, Azi̇z Çataltepe, Yusuf İyeti̇n
The Press-Fit Technique Without Screws And Bone Graft Can Be Used As An Alternative Method In Crowe Type Ii And Iii Hip Dysplasia, Azi̇z Çataltepe, Yusuf İyeti̇n
Turkish Journal of Medical Sciences
Background/aim: Developmental dysplasia of the hip (DDH) is the most common cause of secondary hip arthrosis. The primary purpose of this study was to assess the results of an oversized hemispherical cup via the press-fit technique used for Crowe type II and III DDH without screws and to determine if adequate medialization and initial stability of the acetabular component would allow us to avoid screw and graft use. Materials and methods: Between February 2012 and May 2020, the current study analyzed 43 hips with Crowe type II and III DDH treated with a porous-coated cup by placing the press-fit technique …
Ribosomal Protein L8 Regulates The Expression And Splicing Pattern Of Genes Associated With Cancer-Related Pathways, Leilei Xu, Gui Yang, Bin Song, Dong Chen, Akbar. Yunus, Jiangtao Chen, Xiaogang Yang, Zheng Tian
Ribosomal Protein L8 Regulates The Expression And Splicing Pattern Of Genes Associated With Cancer-Related Pathways, Leilei Xu, Gui Yang, Bin Song, Dong Chen, Akbar. Yunus, Jiangtao Chen, Xiaogang Yang, Zheng Tian
Turkish Journal of Biology
Background/aim: Ribosomal proteins have been shown to perform unique extraribosomal functions in cell apoptosis and other biological processes. Ribosomal protein L8 (RPL8) not only has important nonribosomal regulatory functions but also participates in the oncogenesis and development of tumors. However, the specific biological functions and pathways involved in this process are still unknown. Materials and methods: RPL8 was overexpressed (RPL8-OE) in HeLa cells. MTT assay and flow cytometry were used to detect cell proliferation and apoptosis, respectively. Transcriptome sequencing was performed to analyze the differentially expressed genes (DEGs) and regulated alternative splicing events (RASEs) by RPL8-OE, both of which were …
Crop Weed Infestation Forecasting Using Data Mining Methods, Kirill Maksimovich, Olga Alsova, Vladimir Kalichkin, Dmitry Fedorov
Crop Weed Infestation Forecasting Using Data Mining Methods, Kirill Maksimovich, Olga Alsova, Vladimir Kalichkin, Dmitry Fedorov
Turkish Journal of Agriculture and Forestry
No abstract provided.
Enhancing Exploration-Exploitation In Harmony Search For Airborne Hyperspectral Imaging Band Selection (E3hs), Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Enhancing Exploration-Exploitation In Harmony Search For Airborne Hyperspectral Imaging Band Selection (E3hs), Mohammed Abdulmajeed Moharram, Divya Meena Sundaram
Turkish Journal of Electrical Engineering and Computer Sciences
Hyperspectral imaging has emerged as a prominent area of research in the field of remote sensing science. However, hyperspectral images (HSIs) pose a notable challenge due to the presence of numerous irrelevant and redundant spectral bands exhibiting high correlation. Therefore, it is necessary to enhance the classification performance for HSI processing by selecting the most relevant discriminative spectral bands. To this end, this paper introduces a metaheuristic search method called enhancing exploration-exploitation in harmony search (E3HS). The standard harmony search suffers from many weaknesses, such as premature convergence and falling easily into the local optimum. Consequently, E3HS was proposed to …
Multi-View Brain Tumor Segmentation (Mvbts): An Ensemble Of Planar And Triplanar Attention Unets, Snehal Rajput, Rupal Kapdi, Mehul Raval, Mohendra Roy
Multi-View Brain Tumor Segmentation (Mvbts): An Ensemble Of Planar And Triplanar Attention Unets, Snehal Rajput, Rupal Kapdi, Mehul Raval, Mohendra Roy
Turkish Journal of Electrical Engineering and Computer Sciences
3D UNet has achieved high brain tumor segmentation performance but requires high computation, large memory, abundant training data, and has limited interpretability. As an alternative, the paper explores using 2D triplanar (2.5D) processing, which allows images to be examined individually along axial, sagittal, and coronal planes or together. The individual plane captures spatial relationships, and combined planes capture contextual (depth) information. The paper proposes and analyzes an ensemble of uniplanar and triplanar UNets combined with channel and spatial attention for brain tumor segmentation. It investigates the significance of each plane and analyzes the impact of uniplanar and triplanar ensembles with …
A Unique Hybrid Domain Hand-Crafted Feature To Classify Colorectal Tissue Histopathological Images Using Multiheaded Cnn, Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
A Unique Hybrid Domain Hand-Crafted Feature To Classify Colorectal Tissue Histopathological Images Using Multiheaded Cnn, Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Turkish Journal of Electrical Engineering and Computer Sciences
Early diagnosis of colorectal cancer lengthens human life and is helpful in efforts to cure the illness. Histopathological inspection is a routinely utilized technique to diagnose it. Visual assessment of histopathological images takes more investigation time, and the decision is based on the individual perceptions of clinicians. The existing methods for colorectal cancer classification use only spatial information. However, studies on the spectral domains of information are lacking in the literature. Therefore, the performance of the existing techniques is moderate. To improve the performance of colorectal cancer classification, this work proposes a unique hybrid domain hand-crafted feature formulated using scale-invariant …
Hybrid Machine Learning Model To Predict Chronic Kidney Diseases Using Handcrafted Features For Early Health Rehabilitation, Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha
Hybrid Machine Learning Model To Predict Chronic Kidney Diseases Using Handcrafted Features For Early Health Rehabilitation, Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha
Turkish Journal of Electrical Engineering and Computer Sciences
Chronic kidney diseases proliferate due to hypertension, diabetes, anemia, obesity, smoking etc. Patients with such conditions are sometimes unaware of first symptoms, complicating disease diagnosis. This paper presents chronic kidney disease (CKD) prediction model to classify CKD patients from NCKD (Non-CKD). The proposed study has two main stages. First, we found the odds ratio through logistic regression and comparison test to identify early risk factors from kidneys? MRI and differentiate CKD from NCKD subjects. In stage 2, LR, LDA, MLP classifiers were applied to predict CKD and NCKD by extracting features from MRI. The odds ratio of blood glucose random …
Cognitive Digital Modelling For Hyperspectral Image Classification Using Transfer Learning Model, Mohammad Shabaz, Mukesh Soni
Cognitive Digital Modelling For Hyperspectral Image Classification Using Transfer Learning Model, Mohammad Shabaz, Mukesh Soni
Turkish Journal of Electrical Engineering and Computer Sciences
Deep convolutional neural networks can fully use the intrinsic relationship between features and improve the separability of hyperspectral images, which has received extensive in recent years. However, the need for a large number of labelled samples to train deep network models limits the application of such methods. The idea of transfer learning is introduced into remote sensing image classification to reduce the need for the number of labelled samples. In particular, the situation in which each class in the target picture only has one labelled sample is investigated. In the target domain, the number of training samples is enlarged by …
Classification Of Chronic Pain Using Fmri Data: Unveiling Brain Activity Patterns For Diagnosis, Rejula V, Anitha J, Belfin Robinson
Classification Of Chronic Pain Using Fmri Data: Unveiling Brain Activity Patterns For Diagnosis, Rejula V, Anitha J, Belfin Robinson
Turkish Journal of Electrical Engineering and Computer Sciences
Millions of people throughout the world suffer from the complicated and crippling condition of chronic pain. It can be brought on by several underlying disorders or injuries and is defined by chronic pain that lasts for a period exceeding three months. To better understand the brain processes behind pain and create prediction models for pain-related outcomes, machine learning is a potent technology that may be applied in Functional magnetic resonance imaging (fMRI) chronic pain research. Data (fMRI and T1-weighted images) from 76 participants has been included (30 chronic pain and 46 healthy controls). The raw data were preprocessed using fMRIprep …
Trcaptionnet: A Novel And Accurate Deep Turkish Image Captioning Model With Vision Transformer Based Image Encoders And Deep Linguistic Text Decoders, Serdar Yildiz, Abbas Memi̇ş, Songül Varli
Trcaptionnet: A Novel And Accurate Deep Turkish Image Captioning Model With Vision Transformer Based Image Encoders And Deep Linguistic Text Decoders, Serdar Yildiz, Abbas Memi̇ş, Songül Varli
Turkish Journal of Electrical Engineering and Computer Sciences
Image captioning is known as a fundamental computer vision task aiming to figure out and describe what is happening in an image or image region. Through an image captioning process, it is ensured to describe and define the actions and the relations of the objects within the images. In this manner, the contents of the images can be understood and interpreted automatically by visual computing systems. In this paper, we proposed the TRCaptionNet a novel deep learning-based Turkish image captioning (TIC) model for the automatic generation of Turkish captions. The model we propose essentially consists of a basic image encoder, …
Yolo And Lsh-Based Video Stream Analytics Landscape For Short-Term Traffic Density Surveillance At Road Networks, Lavanya K, Stuti Tiwari, Rahul Anand, Jude Hemanth
Yolo And Lsh-Based Video Stream Analytics Landscape For Short-Term Traffic Density Surveillance At Road Networks, Lavanya K, Stuti Tiwari, Rahul Anand, Jude Hemanth
Turkish Journal of Electrical Engineering and Computer Sciences
The duty of monitoring traffic during rush hour is difficult due to the fact that modern roadways are getting more crowded every day. The automated solutions that have already been created in this area are ineffective at processing enormous amounts of data in a short amount of time, leading to ineffectiveness and inconsistent results. The YOLO (you only look once) and LSH (locality sensitive hashing) algorithms are combined with the Kafka architecture in this study to create a method for assessing traffic density in real-time scenarios. Our concept, which is specifically designed for vehicular networks, predicts the traffic density in …
Deep Feature Extraction, Dimensionality Reduction, And Classification Of Medical Images Using Combined Deep Learning Architectures, Autoencoder, And Multiple Machine Learning Models, Ahmet Hi̇dayet Ki̇raz, Fatime Oumar Djibrillah, Mehmet Emi̇n Yüksel
Deep Feature Extraction, Dimensionality Reduction, And Classification Of Medical Images Using Combined Deep Learning Architectures, Autoencoder, And Multiple Machine Learning Models, Ahmet Hi̇dayet Ki̇raz, Fatime Oumar Djibrillah, Mehmet Emi̇n Yüksel
Turkish Journal of Electrical Engineering and Computer Sciences
Accurate analysis and classification of medical images are essential factors in clinical decision-making and patient care. A novel comparative approach for medical image classification is proposed in this study. This new approach involves several steps: deep feature extraction, which extracts the informative features from medical images; concatenation, which concatenates the extracted deep features to form a robust feature vector; dimensionality reduction with autoencoder, which reduces the dimensionality of the feature vector by transforming it into a different feature space with a lower dimension; and finally, these features obtained from all these steps were fed into multiple machine learning classifiers (SVM, …
Feature Distillation From Vision-Language Model For Semisupervised Action Classification, Asli Çeli̇k, Ayhan Küçükmani̇sa, Oğuzhan Urhan
Feature Distillation From Vision-Language Model For Semisupervised Action Classification, Asli Çeli̇k, Ayhan Küçükmani̇sa, Oğuzhan Urhan
Turkish Journal of Electrical Engineering and Computer Sciences
The training of supervised machine learning approaches is critically dependent on annotating large-scale datasets. Semisupervised learning approaches aim to achieve compatible performance with supervised methods using relatively less annotation without sacrificing good generalization capacity. In line with this objective, ways of leveraging unlabeled data have been the subject of intense research. However, semisupervised video action recognition has received relatively less attention compared to image domain implementations. Existing semisupervised video action recognition methods trained from scratch rely heavily on augmentation techniques, complex architectures, and/or the use of other modalities while distillation-based methods use models that have only been trained for 2D …
Cccd: Corner Detection And Curve Reconstruction For Improved 3d Surface Reconstruction From 2d Medical Images, Mriganka Sarmah, Arambam Neelima
Cccd: Corner Detection And Curve Reconstruction For Improved 3d Surface Reconstruction From 2d Medical Images, Mriganka Sarmah, Arambam Neelima
Turkish Journal of Electrical Engineering and Computer Sciences
The conventional approach to creating 3D surfaces from 2D medical images is the marching cube algorithm, but it often results in rough surfaces. On the other hand, B-spline curves and nonuniform rational B-splines (NURBSs) offer a smoother alternative for 3D surface reconstruction. However, NURBSs use control points (CTPs) to define the object shape and corners play an important role in defining the boundary shape as well. Thus, in order to fill the research gap in applying corner detection (CD) methods to generate the most favorable CTPs, in this paper corner points are identified to predict organ shape. However, CTPs must …
Focal Modulation Network For Lung Segmentation In Chest X-Ray Images, Şaban Öztürk, Tolga Çukur
Focal Modulation Network For Lung Segmentation In Chest X-Ray Images, Şaban Öztürk, Tolga Çukur
Turkish Journal of Electrical Engineering and Computer Sciences
Segmentation of lung regions is of key importance for the automatic analysis of Chest X-Ray (CXR) images, which have a vital role in the detection of various pulmonary diseases. Precise identification of lung regions is the basic prerequisite for disease diagnosis and treatment planning. However, achieving precise lung segmentation poses significant challenges due to factors such as variations in anatomical shape and size, the presence of strong edges at the rib cage and clavicle, and overlapping anatomical structures resulting from diverse diseases. Although commonly considered as the de-facto standard in medical image segmentation, the convolutional UNet architecture and its variants …
Infrared Imaging Segmentation Employing An Explainable Deep Neural Network, Xinfei Liao, Dan Wang, Zairan Li, Nilanjan Dey, Rs Simon, Fuqian Shi
Infrared Imaging Segmentation Employing An Explainable Deep Neural Network, Xinfei Liao, Dan Wang, Zairan Li, Nilanjan Dey, Rs Simon, Fuqian Shi
Turkish Journal of Electrical Engineering and Computer Sciences
Explainable AI (XAI) improved by a deep neural network (DNN) of a residual neural network (ResNet) and long short-term memory networks (LSTMs), termed XAIRL, is proposed for segmenting foot infrared imaging datasets. First, an infrared sensor imaging dataset is acquired by a foot infrared sensor imaging device and preprocessed. The infrared sensor image features are then defined and extracted with XAIRL being applied to segment the dataset. This paper compares and discusses our results with XAIRL. Evaluation indices are applied to perform various measurements for foot infrared image segmentation including accuracy, precision, recall, F1 score, intersection over union (IoU), Dice …
A Comprehensive Review Of Geometrical Thermodynamics: From Fluctuations To Black Holes, S. Mahmoudi, Kh. Jafarzade, Seyed Hossein Hendi
A Comprehensive Review Of Geometrical Thermodynamics: From Fluctuations To Black Holes, S. Mahmoudi, Kh. Jafarzade, Seyed Hossein Hendi
Turkish Journal of Physics
This paper presents a comprehensive review of geometrical thermodynamics, which employs geometric concepts to study the thermodynamic properties of physical systems. The review covers key topics such as thermodynamic fluctuation theory, proposed thermodynamic metrics in various coordinate systems, and thermodynamic curvature.Additionally, the paper discusses the geometrical approach to black hole thermodynamics and provides an overview of recent research in this field.
A Portable And Low-Cost Incubator System Enabling Real-Time Cell Imaging Based On A Smartphone, Ari̇f Engi̇n Çeti̇n
A Portable And Low-Cost Incubator System Enabling Real-Time Cell Imaging Based On A Smartphone, Ari̇f Engi̇n Çeti̇n
Turkish Journal of Physics
Incubators serve as essential tools for maintaining optimal temperature, humidity, and atmospheric gas composition for cell cultures. Their applications span across various fields like cell biology, microbiology, and molecular biology. However, in many cell-based studies, observing cellular changes often necessitates moving cells out of the incubator for microscope examination. Unfortunately, exposing cells to an environment that does not support healthy growth can undermine the reliability of test outcomes. In this article, we present a groundbreaking solution: a cost-effective, portable incubator system seamlessly integrated with a smartphone for real-time characterization tests. This innovation offers comparable imaging capabilities and maintains an environment …
Isotope And Hydrochemical Characteristics Of Thermal Waters Along The Active Fault Zone (Erzin-Hatay/Turkey) And Their Geothermal Potential, Di̇dem Yasi̇n, Gali̇p Yüce
Isotope And Hydrochemical Characteristics Of Thermal Waters Along The Active Fault Zone (Erzin-Hatay/Turkey) And Their Geothermal Potential, Di̇dem Yasi̇n, Gali̇p Yüce
Turkish Journal of Earth Sciences
Geochemical investigations carried out on thermal waters over the Erzin-Hatay area allowed the collection of a suite of 9 samples from natural springs and one well characterized by outlet temperatures in the range from 19.6 to 31.5 °C. All of the springs have slightly acidic pH (in the range of 6) but one sample was marked by a pH value >11 as a consequence of serpentinization processes. The water chemistry denotes water/rock interactions with either magmatic or carbonatic rocks in a water reservoir equilibrated at temperatures estimated to be in the range of 58-162 °C. The stable isotope composition of …