Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Life Sciences (5916)
- Medicine and Health Sciences (2313)
- Animal Sciences (2151)
- Physical Sciences and Mathematics (1962)
- Biology (1669)
-
- Medical Sciences (1464)
- Zoology (1302)
- Chemistry (1183)
- Botany (1118)
- Plant Sciences (1118)
- Agriculture (978)
- Forest Sciences (978)
- Veterinary Medicine (849)
- Computer Engineering (461)
- Computer Sciences (461)
- Electrical and Computer Engineering (461)
- Engineering (461)
- Mathematics (146)
- Earth Sciences (107)
- Physics (65)
- Keyword
-
- Turkey (608)
- Taxonomy (221)
- Oxidative stress (132)
- New records (121)
- New species (104)
-
- Apoptosis (93)
- Morphology (93)
- New record (91)
- Antioxidant (83)
- Distribution (80)
- Phylogeny (79)
- COVID-19 (78)
- Cytotoxicity (73)
- Growth (73)
- Biodiversity (72)
- Antimicrobial activity (71)
- Iran (71)
- 1 (67)
- Inflammation (66)
- 2 (63)
- Breast cancer (62)
- Fauna (61)
- Rat (61)
- Antioxidant activity (60)
- Genetic diversity (60)
- Gene expression (59)
- Antioxidant enzymes (48)
- Endemic (48)
- Antibacterial activity (47)
- Cancer (47)
- Publication Year
Articles 2821 - 2850 of 10500
Full-Text Articles in Entire DC Network
Volume And T2 Relaxation Time Measurements Of Quadriceps Femoris And Hamstringmuscles Are Reliable And Reproducible, Şeri̇fe Şeyma Torğutalp, Ömer Özkan, Şafak Parlak Sağol, Hati̇ce Kader Karli Oğuz, Feza Korkusuz
Volume And T2 Relaxation Time Measurements Of Quadriceps Femoris And Hamstringmuscles Are Reliable And Reproducible, Şeri̇fe Şeyma Torğutalp, Ömer Özkan, Şafak Parlak Sağol, Hati̇ce Kader Karli Oğuz, Feza Korkusuz
Turkish Journal of Medical Sciences
Background/aim: Volume and T2 relaxation time measurements of the skeletal muscle provide quantitative information. We aimed to evaluate the interobserver reliability and the intraobserver reproducibility of measurements of volumes and T2 relaxation times of the quadriceps femoris and the hamstring muscles. Materials and methods: A cross-sectional reliability study was conducted on ten recreational athletes. The images of the quadriceps and the hamstring muscles of both limbs were obtained using a 3.0 Tesla magnetic resonance imaging (MRI) scanner. Two sports medicine specialists measured muscle volumes from a total of 2560 images and T2 relaxation times from a total of 40 images, …
Wnt Signaling Pathway Activities May Be Altered In Primary Sjogren's Syndrome, Ahmet Karataş, Zühal Ömerci̇koğlu, Burak Öz, Adi̇le Ferda Dağli, Onur Çatak, Fazi̇let Erman, Kazim Şahi̇n, Nevzat Gözel, Süleyman Serdar Koca
Wnt Signaling Pathway Activities May Be Altered In Primary Sjogren's Syndrome, Ahmet Karataş, Zühal Ömerci̇koğlu, Burak Öz, Adi̇le Ferda Dağli, Onur Çatak, Fazi̇let Erman, Kazim Şahi̇n, Nevzat Gözel, Süleyman Serdar Koca
Turkish Journal of Medical Sciences
Background/aim: Sjögren's syndrome (SS) is an autoimmune disease and its pathogenesis is still not completely clear. The wingless (Wnt)/ß-catenin pathway has recently been shown to play an important role in inflammation. This study aims to determine the serum and saliva levels of Dickkopf (DKK)1 and sclerostin and to evaluate Wnt-1 and Wnt-3a expression in the salivary gland in patients with primary SS. Materials and methods: This study included 30 patients diagnosed with SS, 30 patients diagnosed with systemic lupus erythematosus (SLE), and 29 healthy controls. Serum and saliva levels of DKK1 and sclerostin were measured and the expressions of Wnt1 …
Non-Adherence To Colchicine Treatment Is A Common Misevaluation In Familialmediterranean Fever, Emre Tekgöz, Seda Çolak, Fatma İlknur Çinar, Sedat Yilmaz, Muhammet Çinar
Non-Adherence To Colchicine Treatment Is A Common Misevaluation In Familialmediterranean Fever, Emre Tekgöz, Seda Çolak, Fatma İlknur Çinar, Sedat Yilmaz, Muhammet Çinar
Turkish Journal of Medical Sciences
Background/aim: Familial Mediterranean fever (FMF) is a hereditary autoinflammatory disease that requires lifelong colchicine treatment. Colchicine is the mainstay of the treatment, which decreases the frequency and the severity of recurrent FMF attacks and prevents the development of amyloidosis. This study aimed to investigate the rates of colchicine treatment adherence in patients with FMF and the factors related to treatment non-adherence. Materials and methods: This observational study was conducted with 179 patients with FMF between November 2018 and April 2019 in a tertiary rheumatology outpatient clinic. The sociodemographic and clinical data were recorded. Compliance Questionnaire on Rheumatology (CQR) was used …
1,25-Dihydroxyvitamin D3 Regulates T Helper And B Lymphocyte Responsessubstantially In Drug-Naive Primary Sjögren's Syndrome Patients' Mononuclear Cells, Deni̇z Genç, Merve Sezer Kürkçü, Burcu Günaydin, Emi̇ne Fi̇gen Tarhan
1,25-Dihydroxyvitamin D3 Regulates T Helper And B Lymphocyte Responsessubstantially In Drug-Naive Primary Sjögren's Syndrome Patients' Mononuclear Cells, Deni̇z Genç, Merve Sezer Kürkçü, Burcu Günaydin, Emi̇ne Fi̇gen Tarhan
Turkish Journal of Medical Sciences
Background/aim: A correlation between vitamin D deficiency and primary Sjögren's syndrome (pSS) has already been described. The limited data has been reported regarding the pathological relevance of vitamin D in primary Sjögren's syndrome. In this study, the peripheral blood mononuclear cells were cocultured with 1,25-dihydroxyvitamin D3 to determine the modulatory effect of vitamin D3 on T and B lymphocyte phenotypes in pSS. Materials and methods: Venous blood samples were collected from 11 patients in the treatment phase and 9 drug-naive pSS patients. Peripheral blood mononuclear cells (PBMC) were isolated and separately cultured in the presence and absence of 1,25- dihydroxyvitamin …
The Role Of Circadian Rhythm In The Regulation Of Cellular Protein Profiles In The Brain, Mustafa Caglar Beker, Ertuğrul Kiliç
The Role Of Circadian Rhythm In The Regulation Of Cellular Protein Profiles In The Brain, Mustafa Caglar Beker, Ertuğrul Kiliç
Turkish Journal of Medical Sciences
Background/aim: Circadian rhythm plays a significant role in the regulation of almost all kinds of physiological processes. In addition, it may also have a direct or indirect effect on the neurodegenerative processes, including Alzheimer's disease, Parkinson's disease, and ischemic stroke. Therefore, the identification of circadian rhythm-related proteins is crucial to be able to understand the molecular mechanism of the circadian rhythm and to define new therapeutic target for the treatment of degenerative disorders. Materials and methods: To identify the light and dark regulated proteins, 8-12 weeks, male Balb/C mice were used at two different time points (morning (Zeitgeber time-0 (ZT0)) …
An Immunohistochemical Examination Of Cinnamon Extract Administration Ondistribution Of Ngf (Nerve Growth Factor) And Trk-A (Tyrosine Kinase-A) Receptor Fordiabetic Rats With Pancreatic Tissue, Şükran Yedi̇el Aras, Ebru Karadağ Sari
An Immunohistochemical Examination Of Cinnamon Extract Administration Ondistribution Of Ngf (Nerve Growth Factor) And Trk-A (Tyrosine Kinase-A) Receptor Fordiabetic Rats With Pancreatic Tissue, Şükran Yedi̇el Aras, Ebru Karadağ Sari
Turkish Journal of Medical Sciences
Background/aim: The aim of this study was to investigate the administration of cinnamon extract that is known to be effective in decreasing the high blood glucose and the distribution of NGF and Trk-A receptor in pancreas with immunohistochemistry way. Materials and methods: The experimental groups were defined as control, sham, cinnamon, diabetes, and diabetes-cinnamon. At the end of the experiment, the pancreatic tissue samples were obtained for the rats. The hematoxylin-eosin and triple staining were used to examine histology. The immunohistochemical methods were performed on the sections of pancreatic tissue. In all groups, the body weight and fasting blood glucose …
Prognostic Factors For 30-Days Mortality In Eighty Years Aged And Older Critically Illpatients: A Single Center Retrospective Cohort Study, Umut Sabri̇ Kasapoğlu, Osman Kaçmaz, Abdullah Gök, Meri̇h Yildiz Eglen, Hasan Şayan, Fati̇h Çolak
Prognostic Factors For 30-Days Mortality In Eighty Years Aged And Older Critically Illpatients: A Single Center Retrospective Cohort Study, Umut Sabri̇ Kasapoğlu, Osman Kaçmaz, Abdullah Gök, Meri̇h Yildiz Eglen, Hasan Şayan, Fati̇h Çolak
Turkish Journal of Medical Sciences
Background/aim: Nowadays, with the rise in average life expectancy, the rate of hospitalization of the older population in intensive care unit (ICU) is gradually increasing. Unfortunately, there are no ideal combination of prognostic factors predicting the mortality in older patients admitted to the ICU. In the present study, we aim to determine the prognostic factors and their impacts on short-time mortality in older critically ill patients. Materials and methods: This retrospective cohort study was performed between January 2019 and February 2020. We included 133 patients aged ≥80 years and hospitalized ≥24 h in the ICU. Results: A total of 133 …
Interactions Between Densely Grafted Molten Polymer Brushes:Scaling Theories Versus Molecular Simulations, Aykut Erbaş
Interactions Between Densely Grafted Molten Polymer Brushes:Scaling Theories Versus Molecular Simulations, Aykut Erbaş
Turkish Journal of Physics
Using molecular dynamics simulations and scaling arguments, we analyzed the interactions between two identical molten polymer brushes intermediately and strongly compressed towards each other at melt conditions. The width of the overlap region, in which monomers of the linear chains composing the two brushes interact, increases as the polymer-grafted surfaces are brought closer. If two-brush coated surfaces are as close as the characteristics size of the grafted chains, the overlap region is directly controlled by intersurface distance. At intermediate compression, the width of the overlap region scales with the end-to-end size of chain sections within the overlap region. This result …
Comparison Of Metaheuristic Optimization Algorithms With A New Modifieddeb Feasibility Constraint Handling Technique, Murat Erhan Çi̇men, Zeynep Gari̇p, Ali̇ Fuat Boz
Comparison Of Metaheuristic Optimization Algorithms With A New Modifieddeb Feasibility Constraint Handling Technique, Murat Erhan Çi̇men, Zeynep Gari̇p, Ali̇ Fuat Boz
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, the modification of the Deb feasibility method is considered to solve the constrained optimization problems. In the developed modified Deb feasibility constraint method, the third rule in its procedure was revised in order to increase the performance of the Deb feasibility constraint handling method. The innovation in the method is based on generating a new individual by using both possible solutions that violate the constraints in the method used for solving the problem. In detail, discussions were given about the application and usefulness of six constrained handling techniques. Furthermore, genetic algorithm, particle swarm optimization, Harris hawks optimization, …
A Hybrid Convolutional Neural Network Approach For Feature Selection Anddisease Classification, Prajna Paramita Debata, Puspanjali Mohapatra
A Hybrid Convolutional Neural Network Approach For Feature Selection Anddisease Classification, Prajna Paramita Debata, Puspanjali Mohapatra
Turkish Journal of Electrical Engineering and Computer Sciences
: Many researchers have analyzed the high dimensional gene expression data for disease classification using several conventional and machine learning-based approaches, but still there exists some issues which make this task nontrivial. Due to the growing complexities of the unstructured data, the researchers focus on the deep learning approach, which is the latest form of machine learning algorithm. In the presented work, a kernel-based Fisher score (KFS) approach is implemented to extract the notable genes, and an improvised chaotic Jaya (CJaya) algorithm optimized convolutional neural network (CJaya-CNN) model is applied to classify high dimensional gene expression or microarray data. This …
Malignant Skin Melanoma Detection Using Image Augmentation By Oversamplingin Nonlinear Lower-Dimensional Embedding Manifold, Olusola Oluwakemi Abayomi-Alli, Robertas Damasevicius, Sanjay Misra, Rytis Maskeliunas, Adebayo Abayomi-Alli
Malignant Skin Melanoma Detection Using Image Augmentation By Oversamplingin Nonlinear Lower-Dimensional Embedding Manifold, Olusola Oluwakemi Abayomi-Alli, Robertas Damasevicius, Sanjay Misra, Rytis Maskeliunas, Adebayo Abayomi-Alli
Turkish Journal of Electrical Engineering and Computer Sciences
The continuous rise in skin cancer cases, especially in malignant melanoma, has resulted in a high mortality rate of the affected patients due to late detection. Some challenges affecting the success of skin cancer detection include small datasets or data scarcity problem, noisy data, imbalanced data, inconsistency in image sizes and resolutions, unavailability of data, reliability of labeled data (ground truth), and imbalance of skin cancer datasets. This study presents a novel data augmentation technique based on covariant Synthetic Minority Oversampling Technique (SMOTE) to address the data scarcity and class imbalance problem. We propose an improved data augmentation model for …
Brain Tumor Detection From Mri Images With Using Proposed Deep Learningmodel: The Partial Correlation-Based Channel Selection, Atinç Yilmaz
Brain Tumor Detection From Mri Images With Using Proposed Deep Learningmodel: The Partial Correlation-Based Channel Selection, Atinç Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
A brain tumor is an abnormal growth of a mass or cell in the brain. Early diagnosis of the tumor significantly increases the chances of successful treatment. Artificial intelligence-based systems can detect the tumor in early stages. In this way, it could be possible to detect a tumor and resolve this problem that may endanger human life early. In the study, the partial correlation-based channel selection formula was presented that allowed the selection of the most prominent feature that differs from the other studies in the literature. Additionally, the multi-channel convolution structure was proposed for the feature network phase of …
A Deep Transfer Learning Based Model For Automatic Detection Of Covid-19from Chest X-Rays, Prateek Chhikara, Prakhar Gupta, Prabhjot Singh, Tarunpreet Bhatia
A Deep Transfer Learning Based Model For Automatic Detection Of Covid-19from Chest X-Rays, Prateek Chhikara, Prakhar Gupta, Prabhjot Singh, Tarunpreet Bhatia
Turkish Journal of Electrical Engineering and Computer Sciences
Deep learning in medical imaging has revolutionized the way we interpret medical data, as high computational devices' capabilities are far more than their creators. With the pandemic causing havoc for the second straight year, the findings in our paper will allow researchers worldwide to use and create state-of-the-art models to detect affected persons before it reaches the R number. The paper proposes an automated diagnostic tool using the deep learning models on chest x-rays as an input to reach a point where we surpass this pandemic (COVID-19 disease). A deep transfer learning-based model for automatic detection of COVID-19 from chest …
Classification Of P300 Based Brain Computer Interface Systems Using Longshort-Term Memory (Lstm) Neural Networks With Feature Fusion, Ali̇ Osman Selvi̇, Abdullah Feri̇koğlu, Derya Güzel
Classification Of P300 Based Brain Computer Interface Systems Using Longshort-Term Memory (Lstm) Neural Networks With Feature Fusion, Ali̇ Osman Selvi̇, Abdullah Feri̇koğlu, Derya Güzel
Turkish Journal of Electrical Engineering and Computer Sciences
Enabling to obtain brain activation signs, electroencephalography is currently used in many applications as a medical diagnostic method. Brain-computer interface (BCI) applications are developed to facilitate the lives of individuals who have not lost their brain functions yet have lost their motor and communication abilities. In this study, a BCI system is proposed to make classification using Bi-directional long short term memory (Bi-LSTM) neural networks. In the designed system, spectral entropy method including instantaneous frequency change of signal is used as feature fusion. In the study, electroencephalography (EEG) data of 10 participants are collected with Emotiv EPOC+ device using 2x2 …
Mri Based Genomic Analysis Of Glioma Using Three Pathway Deep Convolutionalneural Network For Idh Classification, Sonal Gore, Jayant Jagtap
Mri Based Genomic Analysis Of Glioma Using Three Pathway Deep Convolutionalneural Network For Idh Classification, Sonal Gore, Jayant Jagtap
Turkish Journal of Electrical Engineering and Computer Sciences
As per 2016 updates by World Health Organization (WHO) on cancer disease, gliomas are categorized and further treated based on genomic mutations. The imaging modalities support a complimentary but immediate noninvasive diagnosis of cancer based on genetic mutations. Our aim is to train a deep convolutional neural network for isocitrate dehydrogenase (IDH) genotyping of glioma by auto-extracting the most discriminative features from magnetic resonance imaging (MRI) volumes. MR imaging data of total 217 patients were obtained from The Cancer Imaging Archives (TCIA) of high and low-grade gliomas. A 3-pathway convolutional neural network was trained for IDH classification. The multipath neural …
Leukocyte Classification Based On Feature Selection Using Extra Trees Classifier: Atransfer Learning Approach, Diana Baby, Sujitha Juliet Devaraj, Jude Hemanth, Anishin Raj M M
Leukocyte Classification Based On Feature Selection Using Extra Trees Classifier: Atransfer Learning Approach, Diana Baby, Sujitha Juliet Devaraj, Jude Hemanth, Anishin Raj M M
Turkish Journal of Electrical Engineering and Computer Sciences
The criticality of investigating the white blood cell (WBC) count cannot be underestimated, as white blood cells are an important component of the body's defence system. From helping to diagnose hidden infections to insinuating the presence of comorbidities like immunodeficiency, an accurate white blood cell count can contribute significantly to shape a physician?s assessment. The manual process performed by the pathologists for the classification of WBCs is a time consuming and tedious task, which is further disadvantaged by a lack of accuracy. This study concentrates on the automatic detection and classification of WBC without data augmentation into four subtypes such …
Medical Image Fusion With Convolutional Neural Network In Multiscaletransform Domain, Asan Abas, Hasan Erdi̇nç Koçer, Nurdan Baykan
Medical Image Fusion With Convolutional Neural Network In Multiscaletransform Domain, Asan Abas, Hasan Erdi̇nç Koçer, Nurdan Baykan
Turkish Journal of Electrical Engineering and Computer Sciences
Multimodal medical image fusion approaches have been commonly used to diagnose diseases and involve merging multiple images of different modes to achieve superior image quality and to reduce uncertainty and redundancy in order to increase the clinical applicability. In this paper, we proposed a new medical image fusion algorithm based on a convolutional neural network (CNN) to obtain a weight map for multiscale transform (curvelet/ non-subsampled shearlet transform) domains that enhance the textual and edge property. The aim of the method is achieving the best visualization and highest details in a single fused image without losing spectral and anatomical details. …
Detection Of Amyotrophic Lateral Sclerosis Disease By Variational Modedecomposition And Convolution Neural Network Methods From Event-Relatedpotential Signals, Fatma Lati̇foğlu, Firat Orhan Bulucu, Rami̇s İleri̇
Detection Of Amyotrophic Lateral Sclerosis Disease By Variational Modedecomposition And Convolution Neural Network Methods From Event-Relatedpotential Signals, Fatma Lati̇foğlu, Firat Orhan Bulucu, Rami̇s İleri̇
Turkish Journal of Electrical Engineering and Computer Sciences
Amyotrophic lateral sclerosis (ALS), also known as motor neuron disease, is a neurological disease that occurs as a result of damage to the nerves in the brain and restriction of muscle movements. Electroencephalography (EEG) is the most common method used in brain imaging to study neurological disorders. Diagnosis of neurological disorders such as ALS, Parkinson's, attention deficit hyperactivity disorder is important in biomedical studies. In recent years, deep learning (DL) models have been started to be applied in the literature for the diagnosis of these diseases. In this study, event-related potentials (ERPs) were obtained from EEG signals obtained as a …
Improved Cell Segmentation Using Deep Learning In Label-Free Optical Microscopyimages, Aydin Ayanzadeh, Özden Yalçin Özuysal, Devri̇m Pesen Okvur, Sevgi̇ Önal, Behçet Uğur Töreyi̇n, Devri̇m Ünay
Improved Cell Segmentation Using Deep Learning In Label-Free Optical Microscopyimages, Aydin Ayanzadeh, Özden Yalçin Özuysal, Devri̇m Pesen Okvur, Sevgi̇ Önal, Behçet Uğur Töreyi̇n, Devri̇m Ünay
Turkish Journal of Electrical Engineering and Computer Sciences
The recently popular deep neural networks (DNNs) have a significant effect on the improvement of segmentation accuracy from various perspectives, including robustness and completeness in comparison to conventional methods. We determined that the naive U-Net has some lacks in specific perspectives and there is high potential for further enhancements on the model. Therefore, we employed some modifications in different folds of the U-Net to overcome this problem. Based on the probable opportunity for improvement, we develop a novel architecture by using an alternative feature extractor in the encoder of U-Net and replacing the plain blocks with residual blocks in the …
Diagnosis Of Paroxysmal Atrial Fibrillation From Thirty-Minute Heart Ratevariability Data Using Convolutional Neural Networks, Murat Sürücü, Yalçin İşler, Resul Kara
Diagnosis Of Paroxysmal Atrial Fibrillation From Thirty-Minute Heart Ratevariability Data Using Convolutional Neural Networks, Murat Sürücü, Yalçin İşler, Resul Kara
Turkish Journal of Electrical Engineering and Computer Sciences
Paroxysmal atrial fibrillation (PAF) is the initial stage of atrial fibrillation, one of the most common arrhythmia types. PAF worsens with time and affects the patient?s life quality negatively. In this study, we aimed to diagnose PAF early, so patients can start taking precautions before this disease gets worse. We used the atrial fibrillation prediction database, an open data from Physionet and constructed our approach using convolutional neural networks. Heart rate variability (HRV) features are calculated from time-domain measures, frequency-domain measures using power spectral density estimations (fast Fourier transform, Lomb-Scargle, and Welch periodogram), time-frequencydomain measures using wavelet transform, and nonlinear …
Geochemistry, Risk Assessment, And Pb Isotopic Evidence For Sources Of Heavy Metals Instream Sediments Around The Ulukışla Basin, Niğde, Southern Turkey, Abdurrahman Lermi̇, Emmanuel Daanoba Sunkari
Geochemistry, Risk Assessment, And Pb Isotopic Evidence For Sources Of Heavy Metals Instream Sediments Around The Ulukışla Basin, Niğde, Southern Turkey, Abdurrahman Lermi̇, Emmanuel Daanoba Sunkari
Turkish Journal of Earth Sciences
Concentrations of selected elements (Al, Fe, Mn, Mo, As, Cd, Cu, Cr, Ni, Co, Pb, Sb, and Zn) and Pb isotope ratios were determined in 53 sediments from Alihoca, Gümüş, Horoz, and Çakıt streams around the south-central Taurides (Ulukışla Basin), Niğde, which is a known mining province in Turkey. Several pollution and risk assessment indices were used to assess possible heavy metal pollution in the stream sediments and the associated potential ecological risks. Concentrations of As, Cd, Cu, Cr, Ni, Co, Pb, Sb, and Zn were elevated in the streams located near ancient mines, active mines, and slag piles in …
Upper Paleocene-Lower Eocene Calcareous Nannofossil Stratigraphy At The Misheiti Section, Central Sinai, Egypt, Atef M. Kasem, Sherwood Wise, Mahmoud Faris, Sherif Farouk, Esam Zahran
Upper Paleocene-Lower Eocene Calcareous Nannofossil Stratigraphy At The Misheiti Section, Central Sinai, Egypt, Atef M. Kasem, Sherwood Wise, Mahmoud Faris, Sherif Farouk, Esam Zahran
Turkish Journal of Earth Sciences
Calcareous nannofossil, δ13C, δ18O, and carbonate content data were used to define and reveal the variations across the latest Paleocene-earliest Eocene interval at the Misheiti Section, Central Sinai, Egypt. The upper part of Tarawan Formation, the Esna Formation, and the lowermost Thebes Formation were included in this study. In this study, the Esna Formation is informally divided into Hanadi/Mahmiya and Abu Had members. Four calcareous nannofossil zones (NP9, NP10, NP11, and NP12) and four subzones (NP9a, NP9b, NP10a, and NP10b) were recognized. The biostratigraphic importance of significant calcareous nannofossil bioevents associated with the P/E boundary was discussed. The LOs of …
Traces Of Mediterranean Origin Holocene Transgression In The Drainage Basin Of Riva-Çayağzı Creek Of The Black Sea (Northeastern İstanbul-Turkey), Bülent Doğan, Ahmet Karakaş, Ati̇ke Nazi̇k, İbrahi̇m Engi̇n Meri̇ç
Traces Of Mediterranean Origin Holocene Transgression In The Drainage Basin Of Riva-Çayağzı Creek Of The Black Sea (Northeastern İstanbul-Turkey), Bülent Doğan, Ahmet Karakaş, Ati̇ke Nazi̇k, İbrahi̇m Engi̇n Meri̇ç
Turkish Journal of Earth Sciences
The Riva-Çayağzı Creek (İstanbul, Black Sea) pours into the Black Sea from the coasts of Turkey. In the drainage basin of this creek, both deep and shallow drillings were undertaken, and the minimum thickness of Holocene stratigraphy was determined as 30 m. The Holocene young deposits are mainly composed of fine-grained sediments and clay, which has the most prominent thickness. The energy of water during the sedimentation process was low and stagnant in the Riva-Çayağzı Creek basin. When the marine mollusc fossils obtained from the shallow boring cores are evaluated, it can be deduced that the sea level in the …
E-Cadherin Might Be A Stage-Dependent Modulator In Aggressiveness In Pancreatic Cancer Cells, Esra Aydemi̇r Çoban, Di̇dem Teci̇mel, Ezgi̇ Kaşikci, Ömer Faruk Bayrak, Fi̇kretti̇n Şahi̇n
E-Cadherin Might Be A Stage-Dependent Modulator In Aggressiveness In Pancreatic Cancer Cells, Esra Aydemi̇r Çoban, Di̇dem Teci̇mel, Ezgi̇ Kaşikci, Ömer Faruk Bayrak, Fi̇kretti̇n Şahi̇n
Turkish Journal of Biology
Pancreatic ductal adenocarcinoma (PDAC) pathology is known for its uncontrollable progress due to highly invasive characteristics and refractory behavior against existing chemotherapies. The aberrant expression of CDH1 (expresses the protein E-cadherin) is associated with increased overall survival in various cancers, however, E-cadherin expression in PDAC progression has remained elusive. We investigated the impact of exogenously elevated E-cadherin levels on the tumorigenicity of transduced low grade and metastatic PDAC cell lines, Panc-1 and AsPC-1, respectively. Constitutive expression of E-cadherin promoted a more hybrid E/M state in AsPC-1 cells, while it was associated with the acquisition of a more epithelial-like state in …
Comparison Of Anticarcinogenic Properties Of Viburnum Opulus And Its Active Compound P-Coumaric Acid On Human Colorectal Carcinoma, Serdar Karakurt, Gülsüm Abuşoğlu, Zeki̇ye Ceren Arituluk
Comparison Of Anticarcinogenic Properties Of Viburnum Opulus And Its Active Compound P-Coumaric Acid On Human Colorectal Carcinoma, Serdar Karakurt, Gülsüm Abuşoğlu, Zeki̇ye Ceren Arituluk
Turkish Journal of Biology
Resistance to therapeutic agents and the highly toxic side effects of synthetic drugs has spurred new research in the treatment of colon cancer, which has high morbidity and mortality ratios. This study aims to clarify the molecular mechanisms of the anticarcinogenic properties of methanol extract of Viburnum opulus L. (EVO)and its main active compound, trans-p-coumaric acid (p-CA), on human colon cancer cells (DLD-1, HT-29, SW-620, Caco-2) and healthy colon epithelial cells (CCD-18Co). The effects of EVO on controlled cell death (apoptosis) and the cell division cycle were determined by flow cytometry. Alteration in mRNA and protein expressions of switch genes …
Caffeic Acid Phenethyl Ester Induces Apoptosis In Colorectal Cancer Cells Via Inhibition Of Survivin, Ceren Sari, Ceren Sümer, Fi̇gen Celep Eyüpoğlu
Caffeic Acid Phenethyl Ester Induces Apoptosis In Colorectal Cancer Cells Via Inhibition Of Survivin, Ceren Sari, Ceren Sümer, Fi̇gen Celep Eyüpoğlu
Turkish Journal of Biology
Colorectal cancer is one of the most common types of cancer. Drug resistance and drug-induced damage of healthy tissues are major obstacles in cancer treatment. Therefore, to develop efficient anticancer therapy, it is necessary to find compounds that affect tumor cells, but do not exhibit toxicity to healthy cells. Caffeic acid phenethyl ester (CAPE) has been demonstrated to have anticancer properties in many types of cancer. In this study, the cytotoxic and apoptotic effects of CAPE on the RKO colorectal cancer cell line and CCD 841-CoN normal colorectal cell line was investigated. In addition, changes in the survivin expression were …
Anxiolytic, Antioxidant, And Neuroprotective Effects Of Goji Berry Polysaccharides In Ovariectomized Rats: Experimental Evidence From Behavioral, Biochemical, And Immunohistochemical Analyses, Fatma Pehli̇van Karakaş, Hami̇t Coşkun, Hayri̇ye Soytürk, Bi̇hter Gökçe Bozat
Anxiolytic, Antioxidant, And Neuroprotective Effects Of Goji Berry Polysaccharides In Ovariectomized Rats: Experimental Evidence From Behavioral, Biochemical, And Immunohistochemical Analyses, Fatma Pehli̇van Karakaş, Hami̇t Coşkun, Hayri̇ye Soytürk, Bi̇hter Gökçe Bozat
Turkish Journal of Biology
Recent studies have indicated that polysaccharides, the main component of the Lycium barbarum L. fruit, have beneficial effects (e.g., anxiolytic, antioxidant, and neuroprotective) on humans and rodents. However, the effects of different dosages of such polysaccharides on ovariectomized rats and their underlying mechanisms in the brain have not been evaluated in the literature. Here, we aimed to evaluate the effects of the high and low doses of polysaccharides obtained from Lycium barbarum fruits (HD-LBP and LD-LBP, respectively) on anxious behaviors via behavioral (using the OFT and EPM), biochemical (using ELISA), and immunohistochemical (using immunohistochemical staining) measures in detail. Two weeks …