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Comparison Of Frozen-Thawed Embryo Transfer Protocols In Patients With Previouscycle Cancellation Due To Uterine Peristalsis: A Pilot Study, İlknur Selvi̇, Mehmet Erdem, Erhan Demi̇rdağ, Müni̇re Funda Cevher Akdulum, Cengi̇z Karakaya, Ahmet Erdem
Comparison Of Frozen-Thawed Embryo Transfer Protocols In Patients With Previouscycle Cancellation Due To Uterine Peristalsis: A Pilot Study, İlknur Selvi̇, Mehmet Erdem, Erhan Demi̇rdağ, Müni̇re Funda Cevher Akdulum, Cengi̇z Karakaya, Ahmet Erdem
Turkish Journal of Medical Sciences
Background/aim: To investigate the optimal protocol for frozen-thawed embryo transfer (FET) cycles in patients who previously had a cycle cancellation due to uterine peristalsis (UP). Materials and methods: Thirty-four patients with previous embryo transfer (ET) cancellation due to UP during artificial cycle (AC) were included retrospectively. In the proceeding cycle, endometrium was prepared with AC (n: 23) in AC-FET group or with stimulated cycle that contains letrozole (L) (n: 11) in L-FET group. Intravenous bolus dose of 6.75 mg atosiban (Tractocile; Ferring Pharmaceuticals, Switzerland) injection was performed to all patients of AC-FET group due to UP ≥ 4/min on the …
The Effect Of Ankaferd Blood Stopper On Liver Damage In Experimental Obstructivejaundice, Koray Koşmaz, Abdullah Durhan, Marlen Süleyman, Yilmaz Ünal, Mustafa Taner Bostanci, Tuğba Yi̇ği̇t Haskaraca, Can Ersak, Mehmet Şeneş, İlknur Alkan Kuşabbi̇, Eylem Pinar Eser, Sema Hücümenoğlu
The Effect Of Ankaferd Blood Stopper On Liver Damage In Experimental Obstructivejaundice, Koray Koşmaz, Abdullah Durhan, Marlen Süleyman, Yilmaz Ünal, Mustafa Taner Bostanci, Tuğba Yi̇ği̇t Haskaraca, Can Ersak, Mehmet Şeneş, İlknur Alkan Kuşabbi̇, Eylem Pinar Eser, Sema Hücümenoğlu
Turkish Journal of Medical Sciences
Background/aims: To evaluate the potential protective effects of Ankaferd blood stopper (ABS) in an experimental obstructive jaundice (OJ) model. Materials and methods: The study included 26 female rats, which were divided into 3 groups. The sham group, consisting of 10 rats, (group 1) only received solely laparotomy. In the control group, consisting of 8 rats, (group 2), ligation was applied to the biliary tract and no treatment was implemented. In the treatment group, consisting of 8 rats, (group 3), following ligation of biliary tract, 0.5 mL/day ABS was given for 10 days. Liver tissue and blood samples were taken for …
Effects Of The Covid-19 Pandemic On Psychology And Disease Activity In Patients Withankylosing Spondylitis And Rheumatoid Arthritis, Şaki̇r Gica, Yasemi̇n Akkubak, Zaki̇re Kübra Aksoy, Adem Küçük, Erkan Cüre
Effects Of The Covid-19 Pandemic On Psychology And Disease Activity In Patients Withankylosing Spondylitis And Rheumatoid Arthritis, Şaki̇r Gica, Yasemi̇n Akkubak, Zaki̇re Kübra Aksoy, Adem Küçük, Erkan Cüre
Turkish Journal of Medical Sciences
Background/aim: The COVID-19 outbreak is known to increase stress levels of most patients with chronic diseases. Patients with ankylosing spondylitis (AS) and rheumatoid arthritis (RA) are highly susceptible to environmental stress. In the current study, we aimed to determine how the COVID-19 pandemic psychologically affected patients with chronic progressive diseases such as AS and RA and the effects of these psychological factors on disease activity. Materials and methods: Age and sex-matched patients with AS (n = 80), RA (n = 80), and healthy controls (n = 80) were included in the study. All participants were evaluated with the "Perceived COVID-19 …
Attention-Deficit Hyperactivity Disorder Symptoms And Quality Of Life In Female Patientswith Fibromyalgia, Gözde Türkoğlu, Yavuz Selvi̇
Attention-Deficit Hyperactivity Disorder Symptoms And Quality Of Life In Female Patientswith Fibromyalgia, Gözde Türkoğlu, Yavuz Selvi̇
Turkish Journal of Medical Sciences
Background/aim: The present study aimed to determine the association between attention-deficit hyperactivity disorder (ADHD) symptoms severity, fibromyalgia (FM) severity, and QoL. Materials and methods: While the FM group consisted of 113 (74%) patients, the control group consisted of 40 (26%) individuals. FM symptom severity, ADHD symptom severity, and QoL were evaluated using the fibromyalgia impact questionnaire (FIQ), adult ADHD self-report scale (ASRS), and World Health Organization quality of life scale-brief version (WHOQOL-BREF), respectively. Results: It was found that the FM group had significantly higher scores on the ASRS than the control group (p < 0.05). There was a significant difference in FIQ scores and three WHOQOL-BREF domain scores between the FM alone and comorbid FM/high probability of ADHD groups (p < 0.05). We found a negative correlation between ASRS total scores and all other scale scores (except for the social relationships domain score of the WHOQOL-BREF) and a positive correlation between ASRS total scores and FIQ scores in FM patients. ADHD scores would mediate the relationship between depression severity and QoL. Conclusions: Our findings indicated that the presence of ADHD symptoms was related to greater FM symptom severity and poorer QoL. Also, ADHD scores would mediate the relationship between depression severity and QoL.
Utilization Of Biotechnological Drugs In Rare Diseases Requiring The Use Of Off-Label Drugsin Children In Turkey, Neri̇man İpek Kirmizi, Volkan Aydin, Nari̇n Akici, Banu Bayar, Ahmet Akici
Utilization Of Biotechnological Drugs In Rare Diseases Requiring The Use Of Off-Label Drugsin Children In Turkey, Neri̇man İpek Kirmizi, Volkan Aydin, Nari̇n Akici, Banu Bayar, Ahmet Akici
Turkish Journal of Medical Sciences
Background/aim: Pediatric patients, especially those with rare diseases, represent a population that has a high tendency towards offlabel drug use (OLDU) and needs a more careful practice of pharmacotherapy than in adults. We aimed to investigate biotechnological drug use in children with rare diseases requiring OLDU. Materials and methods: This retrospective study examined all single-diagnosed OLDU applications (n = 5792) for 4992 children (
Effects Of Intracerebroventricularly Administered Opioid Peptide Antagonistson Tissue Glycogen Levels In Rats After Exercise, Ayşe Şebnem İlhan, Şevi̇n Güney, Si̇bel Di̇ncer
Effects Of Intracerebroventricularly Administered Opioid Peptide Antagonistson Tissue Glycogen Levels In Rats After Exercise, Ayşe Şebnem İlhan, Şevi̇n Güney, Si̇bel Di̇ncer
Turkish Journal of Medical Sciences
Background/aim: Physical exercise is a state of physiological stress that requires adaptation of the organism to physical activity. Glycogen is an important and essential energy source for muscle contraction. Skeletal muscle and liver are two important glycogen stores, and the energy required to maintain exercise in rodents are provided by destruction of this glycogen depot. In this study, the effects of endogenous opioid peptide antagonism at the central nervous system level on tissue glycogen content after exhaustive exercise were investigated. Materials and methods: Rats had intracerebroventricularly (icv) received nonspecific opioid peptide receptor antagonist, naloxone (50 μ/10 μL in saline) and …
Role Of Frailty In Prediction Of Hospitalized Older Adult Patient's Outcomes: A Prospective Study, Maryam Chehrehgosha, Reza Fadaye Vatan, Mahtab Alizadeh Khoei, Farshad Sharifi, Reyhaneh Aminalroaya, Zahra Vahabi, Abolfazl Zendedel, Hamidreza Hekmat
Role Of Frailty In Prediction Of Hospitalized Older Adult Patient's Outcomes: A Prospective Study, Maryam Chehrehgosha, Reza Fadaye Vatan, Mahtab Alizadeh Khoei, Farshad Sharifi, Reyhaneh Aminalroaya, Zahra Vahabi, Abolfazl Zendedel, Hamidreza Hekmat
Turkish Journal of Medical Sciences
Background/aim: Frailty is associated with an increased risk of negative short-term and long-term hospital outcomes. This study aimed to evaluate the role of frailty in predicting readmission, length of stay, and quality of life in the hospitalized older adults. Materials and methods: This observational study was conducted at Ziaiyan Hospital, Tehran, Iran. In total, 304 participants (65-85 years), were enrolled through the inclusion criteria from August to December 2019. The frailty index (FI) was assessed by the minimum data set-home care. Readmission was obtained through telephone interviews. The length of stay was gathered by the patient's hospital records, and the …
Evaluation Of Serum Neutrophil Gelatinase-Associated Lipocalin (Ngal), Asymmetricdimethylarginine (Adma) And Symmetric Dimethylarginine (Sdma) Levels, And Theirrelations With Disease Type And Activity In Inflammatory Bowel Diseases, Hüseyi̇n Korkmaz, Mehmet Asil, Tuncer Temel, Bahadir Öztürk, Levent Kebapcilar
Evaluation Of Serum Neutrophil Gelatinase-Associated Lipocalin (Ngal), Asymmetricdimethylarginine (Adma) And Symmetric Dimethylarginine (Sdma) Levels, And Theirrelations With Disease Type And Activity In Inflammatory Bowel Diseases, Hüseyi̇n Korkmaz, Mehmet Asil, Tuncer Temel, Bahadir Öztürk, Levent Kebapcilar
Turkish Journal of Medical Sciences
Background/aim: Inflammatory bowel disease (IBD) mainly encompass two entities called ulcerative colitis (UC) and Crohn's disease (CD), both of which are chronic, progressive and, inflammatory conditions of the gastrointestinal tract. Various indicators and noninvasive markers have been sought and used in IBD patients to help assessing disease activity and treatment effectiveness although none of them are proven to yield definite results in full correlation with the clinical, endoscopic, and histopathological examinations. The aim of the current study was to investigate the relationship of serum neutrophil gelatinase-associated lipocalin (NGAL), asymmetric dimethylarginine (ADMA), and symmetric dimethylarginine (SDMA) levels with disease type and …
New Additions To Turkish Mycota From Ankara, Balıkesir, And Kütahya Provinces, Deni̇z Altuntaş, Fuat Bozok, Hatira Taşkin, Şanli Kabaktepe, Hakan Alli, Ilgaz Akata
New Additions To Turkish Mycota From Ankara, Balıkesir, And Kütahya Provinces, Deni̇z Altuntaş, Fuat Bozok, Hatira Taşkin, Şanli Kabaktepe, Hakan Alli, Ilgaz Akata
Turkish Journal of Botany
The current research was conducted on the fungal materials collected from Ankara, Balıkesir, and Kütahya provinces between 2015 and 2019. As a result of the field and laboratory studies, Conocybe dentatomarginata, Entoloma lampropus, Lactarius lilacinus, Otidea nannfeldtii and Sarcopeziza sicula are reported for the first time from Turkey based on macro- and micromorphological studies and internal transcribed spacer (ITS) rDNA-based molecular phylogeny. Descriptions of new records are provided together with photos showing their macro and micro-morphology.
Applications Of Crispr/Cas9-Based Genome Editing In The Plant Biology, Yingzhuan Zheng, Qianqian Li, Mingwang Ye, Aie Cehn, Hongyang Wang
Applications Of Crispr/Cas9-Based Genome Editing In The Plant Biology, Yingzhuan Zheng, Qianqian Li, Mingwang Ye, Aie Cehn, Hongyang Wang
Turkish Journal of Botany
Clustered regularly interspaced short palindromic repeats/CRISPR-associated proteins (CRISPR/Cas) is an acquired immune system found in bacteria and archaea that can specifically silence or degrade a foreign single or double strand nucleic acid to protect it from infection. In recent years, the CRISPR/Cas9 system has rapidly been evolved into a genome editing technology, in which the Cas9 endonuclease can be targeted to specific DNA sequences by guide RNAs (gRNAs) that are easily programmable. Due to simplicity, specificity and high efficiency, CRISPR/Cas9 is gradually replacing other gene editing technologies and has been implemented in basic and applied plant sciences to boost yield, …
Evaluation Of Bermudagrass [Cynodon (L.) Rich] Accessions With Different Ploidy Levels, Cansu Bülbül, Songül Sever Mutlu, Nedi̇m Mutlu, Osman Gülşen
Evaluation Of Bermudagrass [Cynodon (L.) Rich] Accessions With Different Ploidy Levels, Cansu Bülbül, Songül Sever Mutlu, Nedi̇m Mutlu, Osman Gülşen
Turkish Journal of Botany
Eastern Mediterranean is considered as a center of diversity of
Impact Of Image Segmentation Techniques On Celiac Disease Classification Usingscale Invariant Texture Descriptors For Standard Flexible Endoscopic Systems, Manarbek Saken, Munkhtsetseg Banzragch Yağci, Nejat Yumuşak
Impact Of Image Segmentation Techniques On Celiac Disease Classification Usingscale Invariant Texture Descriptors For Standard Flexible Endoscopic Systems, Manarbek Saken, Munkhtsetseg Banzragch Yağci, Nejat Yumuşak
Turkish Journal of Electrical Engineering and Computer Sciences
Celiac disease (CD) is quite common and is a proximal small bowel disease that develops as a permanentintolerance to gluten and other cereal proteins in cereals. It is considered as one of the most di?icult diseases to diagnose.Histopathological evidence of small bowel biopsies taken during endoscopy remains the gold standard for diagnosis.Therefore, computer-aided detection (CAD) systems in endoscopy are a newly emerging technology to enhance thediagnostic accuracy of the disease and to save time and manpower. For this reason, a hybrid machine learning methodshave been applied for the CAD of celiac disease. Firstly, a context-based optimal multilevel thresholding technique wasemployed …
Automated Classification Of Bi-Rads In Textual Mammography Reports, Mostafa Boroumandzadeh, Elham Parvinnia
Automated Classification Of Bi-Rads In Textual Mammography Reports, Mostafa Boroumandzadeh, Elham Parvinnia
Turkish Journal of Electrical Engineering and Computer Sciences
The main purpose of this paper is to process key information in medical text records and also classifypatients, per different levels of breast imaging-reporting and data system (BI-RADS). The BI-RADS is a scheme for thestandardization of breast imaging reports. Therefore, medical text mining is employed to classify mammography reportssupported BI-RADS. In this research, a new method is proposed for automated BI-RADS classifications extraction fromtextual reports and improves the therapeutic procedures. At first, a mammography lexicon is employed for choosingkeywords from medical text reports. Word2vec and term frequency inverse document frequency (TFIDF) techniques areused for extracting features, finally, they are combined …
Design Of The Fractional Order Internal Model Controller Using The Swarmintelligence Techniques For The Coupled Tank System, Sateesh Kumar Vavilala, Vinopraba Thirumavalavan, Radhakrishnan Thota, Sivakumaran Natarajan
Design Of The Fractional Order Internal Model Controller Using The Swarmintelligence Techniques For The Coupled Tank System, Sateesh Kumar Vavilala, Vinopraba Thirumavalavan, Radhakrishnan Thota, Sivakumaran Natarajan
Turkish Journal of Electrical Engineering and Computer Sciences
The coupled tank system (comprising two tanks) is used in the chemical industries, water treatment plantsetc. Level control of the coupled tank system is a common problem in the process control industry. This work proposes afractional order internal model controller (FOIMC) with a higher order fractional filter for the level control of the coupledtank system. A first order plus delay time (FOPDT) model of the system is used in the controller design. FOIMC hasadvantages like robustness to changes in the system gain and extended stability margins. The proposed higher orderfractional filter makes the controller physically realizable and quickly roll off …
A Deep Neural Network Classifier For P300 Bci Speller Based On Cohen's Classtime-Frequency Distribution, Hamed Ghazikhani, Modjtaba Rouhani
A Deep Neural Network Classifier For P300 Bci Speller Based On Cohen's Classtime-Frequency Distribution, Hamed Ghazikhani, Modjtaba Rouhani
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new method of predicting the P300 component of an electroencephalography (EEG)signal to recognize the characters in a P300 brain-computer interface (BCI) speller accurately. This method consistsof a deep learning model and the nonlinear time-frequency features. It is believed that the combination of the deepmodel network and extracting the nonlinear features of the EEG led this research to a better prediction of the P300and, therefore, character recognition. Cohen's class distribution is used in order to extract the nonlinear features of theEEG. Evaluating all of the kernels, Butterworth found to be more informative and it produced better results. …
Model-Based Control For Second-Order Piezo Actuator System With Hysteresis Intime-Delay Environment, Saikat Kumar Shome, Sandip Jana, Arpita Mukherjee, Partha Bhattacharjee
Model-Based Control For Second-Order Piezo Actuator System With Hysteresis Intime-Delay Environment, Saikat Kumar Shome, Sandip Jana, Arpita Mukherjee, Partha Bhattacharjee
Turkish Journal of Electrical Engineering and Computer Sciences
Piezo actuated systems are promising solutions for precision positioning applications. In this paper, a piezoelectric actuator is modeled as a second-order system using the Dahl hysteresis model and the system parameters have been identified from experimental data. The modified internal model control (M-IMC) approach is presented, which not only improves control performance but also reduces associated controller hardware resources. System dead time is approximated using first-order Padé expansion and the proposed Smith predictor-based M-IMC for piezoelectric actuators is seen to offer satisfactory stable control response even for plants with large dead time. The control performance of the M-IMC has been …
A Fuzzy Expert System For Predicting The Mortality Of Covid'19, Monika Mangla, Nonita Sharma, Poonam Mittal
A Fuzzy Expert System For Predicting The Mortality Of Covid'19, Monika Mangla, Nonita Sharma, Poonam Mittal
Turkish Journal of Electrical Engineering and Computer Sciences
The COVID-19 pandemic has had a widespread impact on health and economy across the globe. It is leading to a huge number of deaths per day. Few researchers have been attracted to analyzing the mortality rate of COVID-19 from various perspectives. During the research, it has become evident that these fatalities are not only caused by COVID19, but they are also affected by some other factors. The authors of this paper aim to encompass three important types of factors viz. risk factors, clinical factors, and miscellaneous factors that influence the mortality of COVID-19. This manuscript presents a rule-based model under …
Radar-Based Microwave Breast Cancer Detection System With A High-Performanceultrawide Band Antipodal Vivaldi Antenna, Hüseyi̇n Özmen, Muhammed Bahaddi̇n Kurt
Radar-Based Microwave Breast Cancer Detection System With A High-Performanceultrawide Band Antipodal Vivaldi Antenna, Hüseyi̇n Özmen, Muhammed Bahaddi̇n Kurt
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a novel ultrawide band (UWB) antipodal Vivaldi antenna with three pairs of slots was designed to be used as a sensor in microwave imaging systems for breast cancer detection. The proposed antenna operates in UWB frequency range of 3.05-12.2 GHz. FR4 was used as a dielectric material and as a substrate for forming the antenna that has a compact size of 36 mm x 36 mm x 1.6 mm. Frequency and time domain performance of the proposed antenna have been investigated and results show that it meets the requirements for UWB radar applications with linear phase response, …
An Admm-Based Incentive Approach For Cooperative Data Analysis In Edgecomputing, Weiwei Fang, Xue Wang, Qingli Wang, Yi Ding
An Admm-Based Incentive Approach For Cooperative Data Analysis In Edgecomputing, Weiwei Fang, Xue Wang, Qingli Wang, Yi Ding
Turkish Journal of Electrical Engineering and Computer Sciences
Edge computing is a new paradigm that provides data processing capabilities at the network edge. In view of the uneven data distribution and the constrained onboard resource, an edge device often needs to call for a number of neighboring devices as followers to cooperate on data analysis tasks. However, these followers may be rational and selfish, having their private optimization objectives such as energy efficiency. Therefore, the leader device needs to incentivize the followers to achieve a certain global objective, e.g., maximizing task accomplishment, rather than their own objectives. In this paper, we model the aforementioned challenges in edge computing …
Gene Expression Data Classification Using Genetic Algorithm-Basedfeature Selection, Öznur Si̇nem Sönmez, Mustafa Dağteki̇n, Tolga Ensari̇
Gene Expression Data Classification Using Genetic Algorithm-Basedfeature Selection, Öznur Si̇nem Sönmez, Mustafa Dağteki̇n, Tolga Ensari̇
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, hybrid methods are proposed for feature selection and classification of gene expression datasets. In the proposed genetic algorithm/support vector machine (GA-SVM) and genetic algorithm/k nearest neighbor (GA-KNN) hybrid methods, genetic algorithm is improved using Pearson's correlation coefficient, Relief-F, or mutual information. Crossover and selection operations of the genetic algorithm are specialized. Eight different gene expression datasets are used for classification process. The classification performances of the proposed methods are compared with the traditional GA-KNN and GA-SVM wrapper methods and other studies in the literature. Classification results demonstrate that higher accuracy rates are obtained with the proposed methods …
Presentation Attack Detection For Face Recognition Using Remotephotoplethysmography And Cascaded Fusion, Mehmet Fati̇h Gündoğar, Çi̇ğdem Eroğlu Erdem
Presentation Attack Detection For Face Recognition Using Remotephotoplethysmography And Cascaded Fusion, Mehmet Fati̇h Gündoğar, Çi̇ğdem Eroğlu Erdem
Turkish Journal of Electrical Engineering and Computer Sciences
Spoofing (presentation) attacks are important threats for face recognition and authentication systems, which try to deceive them by presenting an image or video of a different subject, or by using a 3D mask. Remote (non-contact) photoplethysmography (rPPG) is useful for liveness detection using a facial video by estimating the heart-rate of the subject. In this paper, we first compare the presentation attack detection performance of three different rPPG-based heart rate estimation methods on four datasets (3DMAD, Replay-Attack, Replay-Mobile, and MSU-MFSD). We also present a cascaded fusion system, which utilizes a multistage ensemble of classifiers using rPPG, motion-based (including head-pose, eye-gaze …
Benchmarking Of Deep Learning Algorithms For Skin Cancer Detection Based On Ahybrid Framework Of Entropy And Vikor Techniques, Baidaa Al-Bander, Qahtan M. Yas, Hussain Mahdi, Rwayda Kh. S. Al-Hamd
Benchmarking Of Deep Learning Algorithms For Skin Cancer Detection Based On Ahybrid Framework Of Entropy And Vikor Techniques, Baidaa Al-Bander, Qahtan M. Yas, Hussain Mahdi, Rwayda Kh. S. Al-Hamd
Turkish Journal of Electrical Engineering and Computer Sciences
Skin cancer is one of the most common cancers worldwide caused by excessive development of skin cells. Considering the rapid growth of the use of deep learning algorithms for skin cancer detection, selecting the optimal algorithm has become crucial to determining the efficiency of computer-aided diagnosis (CAD) systems developed for the healthcare sector. However, a sufficient number of criteria and parameters must be considered when selecting an ideal deep learning algorithm. A generally accepted method for benchmarking deep learning models for skin cancer classification is unavailable in the current literature. This paper presents a multi-criteria decision-making framework for evaluating and …
New Normal: Cooperative Paradigm For Covid-19 Timely Detection Andcontainment Using Internet Of Things And Deep Learning, Farooque Hassan Kumbhar, Ali Hassan Syed, Soo Young Shin
New Normal: Cooperative Paradigm For Covid-19 Timely Detection Andcontainment Using Internet Of Things And Deep Learning, Farooque Hassan Kumbhar, Ali Hassan Syed, Soo Young Shin
Turkish Journal of Electrical Engineering and Computer Sciences
The spread of the novel coronavirus (COVID-19) has caused trillions of dollars of damages to the governments and health authorities by affecting the global economies. It is essential to identify, track and trace COVID-19 spread at its earliest detection. Timely action can not only reduce further spread but also help in providing an efficient medical response. Existing schemes rely on volunteer participation, and/or mobile traceability, which leads to delays in containing the spread. There is a need for an autonomous, connected, and centralized paradigm that can identify, trace and inform connected personals. We propose a novel connected Internet of Things …
A Transfer Learning-Based Deep Learning Approach For Automated Covid-19diagnosis With Audio Data, Devri̇m Akgün, Abdullah Talha Kabakuş, Zehra Karapinar Şentürk, Arafat Şentürk, Enver Küçükkülahli
A Transfer Learning-Based Deep Learning Approach For Automated Covid-19diagnosis With Audio Data, Devri̇m Akgün, Abdullah Talha Kabakuş, Zehra Karapinar Şentürk, Arafat Şentürk, Enver Küçükkülahli
Turkish Journal of Electrical Engineering and Computer Sciences
The COVID-19 pandemic has caused millions of deaths and changed daily life globally. Countries have declared a half or full lockdown to prevent the spread of COVID-19. According to medical doctors, as many people as possible should be tested to identify their status, and corresponding actions then should be taken for COVID-19 positive cases. Despite the clear necessity of these medical tests, many countries are still struggling to acquire them. This fact clearly indicates the necessity of a large-scale, cheap, fast, and accurate alternative prescreening tool that can be used for the diagnosis of COVID-19 while waiting for the medical …
Effects Of Temperature And Duration Of Storage On The Hatching Behaviour Ofheterodera Latipons (Nematoda: Heteroderidae), Yi̇ği̇t Ali̇ Tatli, Refi̇k Bozbuğa, Göksel Özer, Fouad Mokrini, Rachid Lahlali, Abdelfattah Dababat, Mustafa İmren
Effects Of Temperature And Duration Of Storage On The Hatching Behaviour Ofheterodera Latipons (Nematoda: Heteroderidae), Yi̇ği̇t Ali̇ Tatli, Refi̇k Bozbuğa, Göksel Özer, Fouad Mokrini, Rachid Lahlali, Abdelfattah Dababat, Mustafa İmren
Turkish Journal of Zoology
Mediterranean cereal cyst nematode (CCN) Heterodera latipons is considered as one of the main CCN that causes significant economic losses in the production of intolerant cereal crops in Turkey. Accordingly, this study aimed at evaluating the effect of different storing temperatures and durations on the emergence of second-stage juveniles (J2s) of the nematode populations obtained from the eastern Mediterranean (Adana and Hatay) and south-eastern (Gaziantep and Kilis) regions of Turkey. The obtained results revealed a variation in the J2s hatching profiles of the regional nematode populations. The eastern-Mediterranean and the south-eastern populations hatched at between 5 and 20 °C; however, …
Evaluation On Reducing Toxicity Of Fluoxastrobine With Doped Tio$_{2}$ Nanoparticles, Abbas Güngördü, Nesri̇n Özmen, Sema Erdemoğlu, Duygu Özhan Turhan, Meltem Asi̇ltürk, Emrah Akgeyi̇k, Murat Özmen
Evaluation On Reducing Toxicity Of Fluoxastrobine With Doped Tio$_{2}$ Nanoparticles, Abbas Güngördü, Nesri̇n Özmen, Sema Erdemoğlu, Duygu Özhan Turhan, Meltem Asi̇ltürk, Emrah Akgeyi̇k, Murat Özmen
Turkish Journal of Zoology
In this study, toxic effects caused by the degradation of fluoxastrobin, which is a commonly used fungicide where newly synthesized manganese or sulfur-doped TiO$_{2}$ nanoparticles exist were evaluated. The characterization study of nanoparticles was performed by scanning an electron microscopy (SEM), X-ray diffractometry, Brunau-Emmet-Teller analysis, X-ray fluorescence spectroscopy, and UV-Vis (ultraviolet-visible) reflectance spectra. Subsequently, the photocatalytic performance of nanoparticles, their toxicity, and the photocatalytic degradation products of fluoxastrobin with the same nanoparticles were tested during the two development stages of Xenopus laevis. The LC$_{50}$s of fluoxastrobin were determined on test organisms, and a 5 mg L$^{-1}$ fluoxastrobin was selected to …
Assessment Of The Zooplankton Community Structure Of The Coastal Uzungöl Lagoon(Kızılırmak Delta, Turkey) Based On Community Indices And Physicochemicalparameters, Ceren Deni̇z Özdemi̇r, Yasemi̇n Saygi, Ertunç Gündüz, Fatma Yildiz Demi̇rkalp, Çağaşan Karacaoğlu
Assessment Of The Zooplankton Community Structure Of The Coastal Uzungöl Lagoon(Kızılırmak Delta, Turkey) Based On Community Indices And Physicochemicalparameters, Ceren Deni̇z Özdemi̇r, Yasemi̇n Saygi, Ertunç Gündüz, Fatma Yildiz Demi̇rkalp, Çağaşan Karacaoğlu
Turkish Journal of Zoology
The objective of this study is to provide information on the zooplankton community and physicochemical properties of Uzungöl Lagoon. Sampling studies were performed at monthly intervals for abiotic factors and community parameters between September 2015 and August 2016. The variations of zooplankton community were estimated using Shannon-Weiner diversity (H'), Pielou evenness (J), species richness (S), frequency, and dominancy indices. The relationship between environmental variables and community parameters were analyzed with Pearson?s correlation test and redundancy analysis (RDA). During the study, 39 species, most of which belonged to Rotifera, were recorded. The quantitative analysis indicated that most important fraction of zooplankton …
A Contribution To The Biogeography And Taxonomy Of Two Anatolian Mountain Brooknewts, Neurergus Barani And N. Strauchii (Amphibia: Salamandridae) Using Ecologicalniche Modeling, Muammer Kurnaz, Mehmet Kürşat Şahi̇n
A Contribution To The Biogeography And Taxonomy Of Two Anatolian Mountain Brooknewts, Neurergus Barani And N. Strauchii (Amphibia: Salamandridae) Using Ecologicalniche Modeling, Muammer Kurnaz, Mehmet Kürşat Şahi̇n
Turkish Journal of Zoology
The Anatolian newt, Neurergus strauchii, is an endemic Anatolian species. Until recently, N. strauchii was represented by three subspecies. It has been discussed within a recent phylogenetic study in which the subspecies N. s. barani is recommended to be evaluated as a cryptic but distinct species. To address this subject, we aimed to discuss the niche differentiation between N. barani and N. strauchii using geographical and bioclimatic aspects. All georeferenced data of N. barani and N. strauchii were used to estimate the potential distributions of these species in the Anatolian Peninsula. To evaluate their ecological niche differentiation, point-based analysis and …