Yazarlar
- Gul, Muhammet(35)
- Erten, Fusun(23)
- Zengin, Gokhan(23)
- Benzer, Fulya(22)
- Dal, Nursel Alp(20)
- Sahin, Kazim(20)
- Orhan, Cemal(19)
- Yeşiltepe, Akgün(17)
- Topal, Murat(15)
- Yucesan, Melih(15)
- Yildirim, Ozal(13)
- Öbek, Erdal(13)
- Aksakal, B.(12)
- Gürarslan Baş, Nazan(12)
- Alp Dal, Nursel(11)
- Baloglu, Ulas Baran(11)
- Cakilcioglu, Ugur(11)
- Kandemir, Fatih Mehmet(11)
- Paksoy, Mehmet Yavuz(11)
- Talo, Muhammed(11)
- Celik, Erkan(10)
- Er, Besir(10)
- Say, Yakup(10)
- Yaman, Mine(10)
- Yüksekol, Özlem Doğan(10)
- Aksu, Önder(9)
- Aslan, N.(9)
- Aslan, Naim(9)
- Baş, Kazım(9)
- Erişir, Mine(9)
- Mahomoodally, Mohamad Fawzi(9)
- Acharya, U. Rajendra(8)
- Caprioli, Giovanni(8)
- Karatay, Gülnaz(8)
- Kocabaş, Mehmet(8)
- Macit, Arife(8)
- Parlak Ak, Tuba(8)
- İpek, Yeliz(8)
- Beydağ, Kerime Derya(7)
- Camas, Mustafa(7)
Yayınlar
- MakaleAçık Erişim2020Scopus SJRQ3Antioxidant effects of oleuropein on hydrogen peroxide-induced neuronal stress-an in vitro study
Kucukgul, Altug; Isgor, Mehmet M.; Duzguner, Vesile; Atabay, Meryem N.; Kucukgul, Azime
Background: Persistent oxidative stress can lead to chronic inflammation and mediate most chronic diseases including neurological disorders. Oleuropein has been shown to be a potent antioxidant molecule in olive oil leaf having antioxidative properties. Objective: The aim of this study was to investigate the protective effects of oleuropein against oxidative stress in human glioblastoma cells. Methods: Human glioblastoma cells (U87) were pretreated with oleuropein (OP) essential oil 10 µM. After 30 minutes, 100 µM H2 O2 was added to the cells for three hours. Cell survival was quantified by colorimetric MTT assay. Glutathione level, total oxidant capacity, total antioxidant capacity and nitric oxide levels were determined by using specific spectrophotometric methods. The relative gene expression level of iNOS was performed by qRT-PCR method. Results: According to viability results, the effective concentration of H2 O2 (100µM) significantly decreased cell viability and oleuropein pretreatment significantly prevented the cell losses. Oleuropein regenerated total antioxidant capacity and glutathione levels decreased by H2 O2 exposure. In addition, nitric oxide and total oxidant capacity levels were also decreased after administration of oleuropein in treated cells. Conclusion: Oleuropein was found to have potent antioxidative properties in human glioblastoma cells. However, further studies and validations are needed in order to understand the exact neuroprotective mechanism of oleuropein.
AtıfScopus23OpenAlex24
İncele - MakaleAçık Erişim2020Scopus SJRQ1The Breast Size Satisfaction Survey (BSSS): Breast size dissatisfaction and its antecedents and outcomes in women from 40 nations
Swami, Viren; Tran, Ulrich S.; Barron, David; Afhami, Reza; Aimé, Annie; Almenara, Carlos A.; Alp Dal, Nursel; Amaral, Ana Carolina Soares; Andrianto, Sonny; Anjum, Gulnaz
The Breast Size Satisfaction Survey (BSSS) was established to assess women's breast size dissatisfaction and breasted experiences from a cross-national perspective. A total of 18,541 women were recruited from 61 research sites across 40 nations and completed measures of current-ideal breast size discrepancy, as well as measures of theorised antecedents (personality, Western and local media exposure, and proxies of socioeconomic status) and outcomes (weight and appearance dissatisfaction, breast awareness, and psychological well-being). In the total dataset, 47.5 % of women wanted larger breasts than they currently had, 23.2 % wanted smaller breasts, and 29.3 % were satisfied with their current breast size. There were significant cross-national differences in mean ideal breast size and absolute breast size dissatisfaction, but effect sizes were small (η2 = .02–.03). The results of multilevel modelling showed that greater Neuroticism, lower Conscientiousness, lower Western media exposure, greater local media exposure, lower financial security, and younger age were associated with greater breast size dissatisfaction across nations. In addition, greater absolute breast size dissatisfaction was associated with greater weight and appearance dissatisfaction, poorer breast awareness, and poorer psychological well-being across nations. These results indicate that breast size dissatisfaction is a global public health concern linked to women's psychological and physical well-being.
AtıfScopus68OpenAlex77
İncele - MakaleYalnız künye2020Scopus SJRQ1Emergency department network under disaster conditions: The case of possible major Istanbul earthquake
Gul, Muhammet; Fuat Guneri, Ali; Gunal, Murat M.
Emergency departments (EDs) provide health care services to people in need of urgent care. Their role is remarkable when extraordinary events that affect the public, such as earthquakes, occur. In this paper, we present a hybrid framework to evaluate earthquake preparedness of EDs in cities. Our hybrid framework uses artificial neural networks (ANNs) to estimate number of casualties and discrete event simulation (DES) to analyse the effect of surge in patient demand in EDs, after an earthquake happens. At the core of our framework, Earthquake Time Emergency Department Network Simulation Model (ET-EDNETSIM) resides which can simulate patient movements in a network of multiple and coordinated EDs. With the design of simulation experiments, different resource levels and sharing rules between EDs can be evaluated. We demonstrated our framework in a network of five EDs located in a region of which is estimated to have the highest injury rate after an earthquake in Istanbul, Turkey. Results of our study contributed to the planning for expected earthquake in Istanbul. Simulating a network of EDs extends the individual ED studies in the literature and furthermore, our hybrid framework can help increase earthquake preparedness in cities around the world. On the methodological side, the use of ANN, which is a member of machine learning (ML) algorithms family, in our hybrid framework also shows the close links between ML and DES.
AtıfScopus30WoS31OpenAlex40İncele - MakaleYalnız künye2020Scopus SJRQ2Application of Pythagorean fuzzy AHP and VIKOR methods in occupational health and safety risk assessment: the case of a gun and rifle barrel external surface oxidation and colouring unit
Gul, Muhammet
The field of occupational health and safety (OHS) focuses on reducing occupational accidents to an acceptable level. OHS covers systematic efforts aimed at providing employee health, safety and welfare in the workplace. This study proposes a new approach for risk assessment in the field of OHS. It integrates the Pythagorean fuzzy analytic hierarchy process (PFAHP) and fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) into a risk assessment process. The PFAHP is used in weighting the risk parameters. FVIKOR is then applied to prioritize the hazards. To demonstrate the applicability and validity of the proposed approach, a case study of a barrel external surface oxidation and colouring unit of a gun and rifle production facility is performed. A comparison is also provided between the proposed approach and an intuitionistic fuzzy sets-based approach. The proposed approach is found to produce reliable outcomes that better represent the vagueness of the decision-making process.
AtıfScopus99WoS100OpenAlex133İncele - Kitap BölümüYalnız künye2020NARX neural networks model for forecasting daily patient arrivals in the Emergency Department
Yucesan, Melih; Mete, Suleyman; Serin, Faruk; Celik, Erkan; Gul, Muhammet
Regarding measuring of service quality at the emergency departments (ED), essential parameters are length of stay (LOS) and waiting times. Patient arrivals, which is related to LOS and waiting times, is hard to forecast and is affected by many parameters. Therefore, authors employed a Nonlinear Autoregressive Exogenous (NARX) model for forecasting of ED arrivals. NARX models are used extensively in many applications that show non-linear and dynamic behavior, but as far as authors know, the NARX method has not yet been used in the forecast of ED arrivals before. In this study, calendar and climatic variables are defined as input parameters. Patient Arrivals is defined as output parameter. A commercial software, MATLAB, was used to train and test the data set. To find the best network architecture Levenberg- Marquardt (LM) and Bayesian Regularization (BR) algorithms, different lags, and number of neurons were tested. R-squared and mean square error (MSE) are used to evaluate the accuracy of the tested networks.
AtıfScopus2OpenAlex4İncele - MakaleAçık Erişim2020Scopus SJRQ1Effect of trichlorfon on some haematological and biochemical changes in Cyprinus carpio: The ameliorative effect of lycopene
Mişe Yonar, Serpil; Yonar, M. Enis; Pala, Ayşegül; Sağlam, Naim; Sakin, Fatih
Trichlorfon (TCF) is an antiparasitic agent used in aquaculture to treat external parasites and it belongs to the chemical class of organophosphates. This study was conducted to investigate the ameliorating effects of lycopene on TCF-induced toxicity in carp by evaluating haematological parameters and oxidant/antioxidant status. Fish were randomly divided into seven experimental groups. These groups were arranged as follows: control (no treatment) group, corn oil group, lycopene (10 mg kg−1) group, TCF-I (11 mg L−1) group, TCF-I (11 mg L−1) plus lycopene (10 mg kg−1) group, TCF-II (22 mg L−1) group and TCF-II (22 mg L−1) plus lycopene (10 mg kg−1) group. At the end of 14 days administration, blood and tissue (liver, kidney, and gill) samples were collected. Haematological changes [red blood cell (RBC) and white blood cell (WBC) count, haemoglobin (Hb) concentration, haematocrit (Ht) level, and erythrocyte indices: mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), and mean corpuscular haemoglobin concentration (MCHC)] were determined in the blood samples, while antioxidant parameters [(malondialdehyde (MDA) and reduced glutathione (GSH) levels and superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GSH-Px) activities] were evaluated in the liver, kidney and gill samples. The results demonstrated that all the haematological parameters were significantly decreased in the TCF-I and TCF-II groups when compared to the control group. Notable increases in the tissue MDA levels were observed in the TCF-treated groups. In contrast, significant decreases were observed in the tissue SOD, CAT and GSH-Px activities and GSH levels in the TCF-I and TCF-II groups. However, simultaneous treatment with lycopene provided a marked normalisation of the haematological and oxidant/antioxidant parameters compared with the TCF-I and TCF-II groups. The findings show that dietary lycopene supplementation might be helpful in abrogation of TCF toxicity by changing haematological conditions and antioxidant status in fish.
AtıfScopus34WoS28OpenAlex31İncele - MakaleAçık Erişim2020Reviewing Phlomis rigida Labill From Turkey as a Antimicrobial Efficacy
Sönmez, Pınar Erecevit; Kirbağ, Sevda; Çakilcioğlu, Uğur
This work researched the inhibitory properties of the extract of Phlomis rigida Labill plant including chloroform on gram-negative and positive bacteria, yeasts and dermatophyta; the related plant is used for therapeutic purpose in public. For the disk diffusion method, this extract is effective on Pseudomonas aeruginosa that is one of the negative bacterias by 11.33 ± 0.57 mm inhibition areas. Regarding other bacterias, the effect of the related extract is so low in avoiding the improvement of Escherichia coli, Staphylococcus aureus and Bacillus megaterium by 8.33 ± 0.57 mm inhibition area. It has highly effective on Trichopyton sp. and Candida albicans that are from dermatophytes fungis and yeast by 16.33 ± 0.57 mm inhibition area. About yeast and dermatophytes fungi it has a remarkable impact on Candida glabrata (14.33 ± 0.57 mm inhibition area), Epidermophyton sp. (12.33 ± 0.57 mm inhibition area). Antimicrobial activity of this natural extract against all the microorganisms that were tested by MIC method by concentrations vary by 100 uL and 6.25 uL. Acording to this; the results showed good inhibitory effect with 6.25 μL for C. albicans, Trichophyton sp. with 12.25 μL for C. glabrata. In the other hand it is effective with 25 μL for P. aeruginosa, Epidermophyton sp. with 50 μL for E. coli, S. aureus, B. megaterium. Being used plants for medical purposes as from since the early ages show that these plants can be used as alternatives of available antibiotics; including important medical components is the other reason for being an alternative at the same time. Concerning results, P. rigida can be utilized as a therapeutic drug for the healing of infections caused by microorganisms. In this study, we believe that the P. rigida is important in the search for new antibiotics and will contribute to the literature and the world of drug as it affects different types of microorganisms at the lowest level for the first time.
AtıfScopus4OpenAlex6TR Dizin1
İncele - MakaleYalnız künye2020Scopus SJRQ2A novel proximity graph: Circular neighborhood cell graph for histopathological tissue image analyzing
Serin, Faruk; Erturkler, Metin
The cell is the smallest unit of living beings, which has structural and functional properties. Almost all cell behaviors are regulated by various intracellular reactions initiated by the signaling. The signaling and the distance between cells influence each other. Thus, cell-location-based modeling and analyzing of histopathological tissues provide important information to the expert. In literature, methods such as distance-based threshold, K-Nearest Neighbor, Voronoi graphs, Delaunay triangulation, and colored graph have been used. However, circular neighborhood relationships of cells have not been considered by any CAD system so far despite of its crucial impact. Thus, we developed the circular neighborhood cell-graph. Histopathological images of liver were classified by using features extracted from T-Distance, K-Nearest Neighbor, Voronoi, Delaunay, and the proposed cell-graph. Then, the classification performances of the methods were compared. Experimental results show that liver tissue images can be classified with accuracy of 95.7% by using the features provided by the proposed cell-graph model.
AtıfScopus1WoS1OpenAlex1İncele - Kitap BölümüYalnız künye2020A fuzzy decision-making model for the key performance indicators of hospital service quality evaluation
Yucesan, Melih; Mete, Suleyman; Gul, Muhammet; Celik, Erkan
One of the major concerns of the healthcare industry throughout the world is to provide better hospital service quality. Management and delivery of hospital healthcare services are achieved in a competitive environment in Turkey. For this reason, to make better decisions, the services provided by the public and private hospitals should be monitored and evaluated according to the viewpoint of medical stakeholders. This chapter presents a cause-and-effect, decision-making model in evaluating hospital service quality criteria. Since the decision-making process involves the vagueness of human judgments, a combination of fuzzy sets and decisionmaking trial and evaluation laboratory (DEMATEL) is used. Results of the study demonstrate that medical equipment level of the hospital, the attitude of nurses and medical staff to patients, pharmacists' advice on medicine preservation, medical staff with professional abilities, outpatient waiting time for medical treatment, and number and quality of the bathrooms available have more impact on the entire hospital service quality. In conclusion, the proposed approach will contribute to better providing of healthcare services at a higher quality level.
AtıfScopus5OpenAlex5İncele - MakaleAçık Erişim2020Scopus SJRQ2The Communication Skills and Empathic Tendencies of Nursing and Midwifery Students to Reproductive Pattern Section of the Care Plan
Kaplan Serin, Emine; Alp Dal, Nursel; İkde Öner, Özlem
The objective of this study is to determine the communication skills and empathic tendencies of nursing and midwifery students to sexuality/reproductive pattern section of the care plan. The sample of this descriptive cross-sectional study consists of 665 students studying in the midwifery and nursing department of a state university in Eastern Anatolia Region of Turkey and agreeing to participate in the study as volunteers. Data of the study were collected using “Descriptive Characteristics Form for Students”, “Communication Skills Assessment Scale (CSAS)” and “Emphatic Tendency Scale”. Obtained data were assessed by using number, percent, mean and standard deviation as well as Mann–Whitney U Test, Kruskal–Wallis Test, t test, ANOVA and Pearson correlation test. The average age of students participating in the study was 20.81 ± 1.80 years, and 53.8% of them expressed that the society they lived in had a restrictive perspective on the concept of sexuality. A great majority of students think that cultural structure and religious beliefs are significant factors in the formation of sexual taboos. The study found out that 64% of the students could not ask the questions in the reproductive pattern section of the care plan, most of them did not want to be asked it themselves, and 70.5% of them were uncomfortable with asking these questions due to privacy. Approximately fifty-six percent (56.1%) of students thought that the concept of sexuality did not fall within a nurse’s responsibilities. Approximately fifty-six percent (56.1%) of them did not want to focus on the subject more during courses. Average total score of students on CSAS was 98.74 ± 13.05, average total score on the emphatic tendency scale was 67.31 ± 7.98 and a positive correlation was found between both scores. In this study, it was detected that students left the sexuality/reproductive pattern section in the care plan empty, therefore they did not/could not handle a patient’s potential problems related to sexuality/reproductive pattern.
AtıfScopus5WoS4OpenAlex5İncele - MakaleAçık Erişim2020Scopus SJRQ2Influence of vitamin E and vitamin E-selenium combination on arginase activity, nitric oxide level and some spermatological properties in ram semen
Ozer Kaya, Seyma; Gur, Seyfettin; Erisir, Mine; Kandemir, Fatih Mehmet; Benzer, Fulya; Kaya, Emre; Turk, Gaffari; Sonmez, Mustafa
The effects of vitamin E and vitamin E-selenium combination on seminal plasma arginase activity and nitric oxide level and some spermatological properties in rams were investigated in this study. For control group, animals were injected intramuscularly with physiological saline. For vitamin E group, rams were injected intramuscularly with 300 mg/ram vitamin E. For vitamin E + selenium group, animals were injected intramuscularly with 5 ml/ram vitamin E + selenium. The semen was collected by artificial vagina at 1st, 4th, 24th, 48th and 72nd hr after administration in each group. Significant decreases in seminal plasma arginase activity (at 1st, 24th and 48th hr), nitric oxide level (at 72nd hr) and abnormal sperm rate (at 1st, 24th and 72nd hr), and significant increases in semen volume (at 24th hr), semen mass activity (at 24th and 48th hr), sperm motility (at 24th, 48th and 72nd hr) and concentration (at 1st hr) were observed in vitamin E group compared with control group. Similarly, significant increase in semen volume (at 1st, 24th and 48th hr), mass activity, (at 48th hr), motility (at 48th and 72nd hr) and concentration (at 4th, 24th and 48th hr), and significant decrements in abnormal sperm rate (at 1st, 24th, 48th and 72nd hr), seminal plasma nitric oxide level (at 1st, 4th, 24th and 48th hr) and semen pH (at 24th and 48th hr) were detected in vitamin E + selenium group in comparison to the control group. As a result, it is suggested that vitamin E and/or vitamin E + selenium applications may improve reproductive performance.
AtıfScopus19WoS16OpenAlex19İncele - MakaleAçık Erişim2020Scopus SJRQ2Bee glue (propolis) improves reproductive organs, sperm quality and histological changes and antioxidant parameters of testis tissues in rats exposed to excess copper
Seven, Ismail; Tatli Seven, Pinar; Gul Baykalir, Burcu; Parlak Ak, Tuba; Ozer Kaya, Seyma; Yaman, Mine
This study was designed to determine the effects of propolis on the sperm quality, antioxidant and histological parameters in the testicular tissues of male Sprague Dawley rats exposed to excessive copper (Cu). In this aim, 24 rats were randomly divided into four groups as follows: the control, Cu, Propolis and Cu+Propolis. When compared to control group, Cu administration significantly decreased sperm motility and concentration, increased total abnormal sperm rate. It caused a significant induction the malondialdehyde (MDA), and reduction the superoxide dismutase (SOD), catalase (CAT) and glutathione (GSH) in testicular tissues. Also, it caused loss, disorganisation and vacuolation of the germinal epithelium, oedema of the interstitial tissues, proliferation of the interstitial cells, spilled immature spermatogenic cells in the lumen of some seminiferous tubules. A large number of active caspase-3-positive stained apoptotic cells and a significant decrease in Johnsen's testicular score were determined. However, significant ameliorations were observed in all sperm characteristics, MDA, SOD, CAT, GSH, seminiferous tubules, number of apoptotic cells and Johnsen's testicular score in Cu+Propolis group. Our results showed that oral supplementation of propolis had curative effect on the sperm quality, antioxidant and histological parameters in the testicular tissues of male Sprague Dawley rats exposed to Cu.
AtıfScopus39OpenAlex39İncele - MakaleAçık Erişim2020Scopus SJRQ1Automated detection of COVID-19 cases using deep neural networks with X-ray images
Ozturk, Tulin; Talo, Muhammed; Yildirim, Eylul Azra; Baloglu, Ulas Baran; Yildirim, Ozal; Rajendra Acharya, U.
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. It is critical to detect the positive cases as early as possible so as to prevent the further spread of this epidemic and to quickly treat affected patients. The need for auxiliary diagnostic tools has increased as there are no accurate automated toolkits available. Recent findings obtained using radiology imaging techniques suggest that such images contain salient information about the COVID-19 virus. Application of advanced artificial intelligence (AI) techniques coupled with radiological imaging can be helpful for the accurate detection of this disease, and can also be assistive to overcome the problem of a lack of specialized physicians in remote villages. In this study, a new model for automatic COVID-19 detection using raw chest X-ray images is presented. The proposed model is developed to provide accurate diagnostics for binary classification (COVID vs. No-Findings) and multi-class classification (COVID vs. No-Findings vs. Pneumonia). Our model produced a classification accuracy of 98.08% for binary classes and 87.02% for multi-class cases. The DarkNet model was used in our study as a classifier for the you only look once (YOLO) real time object detection system. We implemented 17 convolutional layers and introduced different filtering on each layer. Our model (available at (https://github.com/muhammedtalo/COVID-19)) can be employed to assist radiologists in validating their initial screening, and can also be employed via cloud to immediately screen patients.
AtıfScopus2286OpenAlex2595İncele - MakaleAçık Erişim2020Scopus SJRQ3Effects of technology usage on the addictive behaviors of secondary school students
Gürarslan Baş, Nazan; Karatay, Gülnaz
Purpose: This study aimed to evaluate the relationship between technology usage and technology addiction among secondary school students. Design and Methods: This descriptive research was conducted in April 2018 with 840 students in Eastern Turkey. Findings: The average Internet and digital-gaming addiction scores of the participating students were found to be significantly higher among those who used computers, smartphones, and tablets daily and for long periods of time. Implications for Practice: Using technological devices regularly and for long periods of time increases the level of Internet and digital-gaming addiction. Thus, it is important to increase students' awareness of the need to use technological devices appropriately.
AtıfScopus13WoS11OpenAlex19İncele - MakaleAçık Erişim2020Evaluation of the effect of COVID-19 on countries' sustainable development level: A comparative MCDM framework
Kaya, Sema Kayapinar
The extent of the outbreak of coronavirus disease (COVID-19) had a major impact on health, social life, economic and environmental activities in almost every country over the world. It has disrupted the sustainable development of countries and brought many uncertainties for their future capabilities. In this study, the effects of the COVID-19 on OECD countries' sustainable development were investigated, and the sustainable development performance of the countries was evaluated by the MultiAttributive Ideal-Real Comparative Analysis (MAIRCA) method. Data for the second quarter of 2020 and the same quarter of the previous year is considered. Then, the results obtained by the MAIRCA method were compared with two different multi-criteria decision-making (MCDM) methods called MABAC (Multi‐Attributive Border Approximation Area Comparison) and WASPAS (Weighted Aggregated Sum Product Assessment). The effectiveness and validity of the results obtained from these methods were tested with Spearman's correlation coefficient. Finally, to examine the effect of COVID-19 on the indicators of sustainable development, a non-parametric Wilcoxon signed-rank test was applied. As a result, it was concluded that COVID-19 negatively affected the sustainable development of countries. However, sustainable development performances of developed countries have been observed to be better than developing countries.
AtıfScopus49OpenAlex56İncele - MakaleYalnız künye2020Scopus SJRQ2Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS
Yucesan, Melih; Gul, Muhammet
Providing better hospital service quality is one of the major concerns of healthcare industry in the world. Since health services in Turkey are provided in a very competitive environment, for making a better choice, the services delivered by the public and private hospitals should be evaluated according to the viewpoint of stakeholders in terms of satisfaction. In this study, a model proposal is presented based on the concept of Pythagorean fuzzy analytic hierarchy process and Pythagorean fuzzy technique for order preference by similarity to ideal solution method to provide an accurate decision-making process for evaluating the hospital service quality. We study under fuzzy environment to reduce uncertainty and vagueness, and use linguistic variables parameterized by Pythagorean fuzzy numbers. The proposed approach is separated from others with the integration of the methods in a way providing a systematic fuzzy decision-making process. A case study including 32 service quality criteria and two public and one private hospitals in Turkey assessed by 32 evaluators by medical staff, hospital executives, auxiliaries, and patients is performed to demonstrate the applicability and validity of the proposed approach. On conclusion, integrated model produces reliable and suggestive outcomes better representing the vagueness of decision-making process.
AtıfScopus164WoS132OpenAlex190İncele - MakaleYalnız künye2020Scopus SJRQ2The Effect of Progressive Relaxation Exercises on Pain, Fatigue, and Quality of Life in Dialysis Patients
Kaplan Serin, Emine; Ovayolu, Nimet; Ovayolu, Özlem
Patients receiving hemodialysis treatment may experience several symptoms at the same time, such as fatigue and pain. Progressive relaxation exercises (PRE) have been reported to have positive effect on the control of these symptoms. In this study, a randomized, controlled, and experimental study was conducted to examine the effect of PRE on pain, fatigue, and quality of life in hemodialysis patients; the study was carried out with 48 intervention and 48 control patients receiving treatment in the hemodialysis units of 2 hospitals. Data were collected by a questionnaire prepared by the researcher, which included questions about sociodemographic variables and the disease; Piper Fatigue Scale; Visual Analog Scale that measures pain severity; and SF-36 Quality of Life Scale. The results of study revealed that mean total fatigue score and mean pain score decreased in the intervention group after the application of PRE; whereas no change was observed in the control group (P <.05). It was also found that quality of life physical component mean score and mental component mean score increased in the intervention group after the application of PRE (P <.05).
AtıfScopus35WoS31OpenAlex44İncele - MakaleYalnız künye2020Scopus SJRQ2A comparative assessment of biological activities of Gundelia dersim Miller and Gundelia glabra Vitek, Yüce & Ergin extracts and their chemical characterization via HPLC-ESI-TOF-MS
de la Luz Cádiz-Gurrea, María; Zengin, Gokhan; Leyva-Jiménez, Francisco Javier; Fernández-Ochoa, Álvaro; Sinan, Kouadio Ibrahime; Cakilcioglu, Ugur; Babacan, Ebru Yuce; Mahomoodally, Mohamad Fawzi; Picot-Allain, Carene; Xiao, Jianbo
Plants from the Gundelia genus have been well appraised as both food and remedies. The members of the Gundelia genus are widely used as foods in several countries including Turkey. This study presents a comparative assessment of two poorly studied Gundelia species (G. glabra Miller and G. dersim Vitek, Yüce & Ergin). The effect of conventional (infusion, maceration, and Soxhlet extraction) and non-conventional (homogeniser and ultrasound assisted extraction) methods of extraction of bioactive secondary metabolites from the selected Gundelia species was also assessed. A total of 68 different compounds were detected by high-performance liquid chromatography coupled to electrospray ionization and time-of-flight mass spectrometry (HPLC-ESI-TOF-MS) technique. Non-conventional extraction techniques do not guarantee higher antioxidant activity. As such, G. dersim (91.27, 138.87, 182.28, and 125.65 mg TE [Trolox equivalent]/g dried extract, for 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS), cupric reducing antioxidant capacity (CUPRAC), and ferric reducing antioxidant power (FRAP) assays, respectively).The highest α-glucosidase inhibition was recorded for the extracts obtained by ultrasonication. In the multivariate analysis, the extracts from Gundelia species were separated based on their biological activities. The presented findings could be one methodological starting point for designing novel products from two Gundelia species.
AtıfScopus12OpenAlex13İncele - MakaleAçık Erişim2020Scopus SJRQ1Investigation of potential health risks in terms of arsenic in grapevine exposed to gallery waters of an abandoned mining area in Turkey
Topal, Murat; Arslan Topal, E. Işıl; Öbek, Erdal
In this study, potential health risks in terms of arsenic in grapevine exposed to gallery waters of an abandoned mining area in Turkey were investigated. The concentrations of arsenic were determined in roots, stems, and leaves. The translocation factors and bioconcentration factors were calculated. The highest arsenic concentration in the grapevine was determined as 539.4±27 mg/kg, for root. The arsenic concentrations in grapevine as follows: Root>Leaf>Stem. The estimated daily exposure followed an order for the male, female, and children: dermal<inhalation<ingestion<dietary. The non-carcinogenic and total hazard index values calculated for As were higher than 1. The risk of arsenic to be carcinogenic has been determined. The highest carcinogenic risk can be listed as dietary > ingestion > inhalation > dermal. In our study, calculated carcinogenic risk values in terms of dietary, inhalation, and ingestion are higher than 10−4-10−6. As a result, the highest cancer risk on human health was determined as a dietary intake of grapevine leaves according to the calculated carcinogenic risk values.
AtıfScopus20WoS19OpenAlex21İncele - MakaleAçık Erişim2020Scopus SJRQ1Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Celik, Yusuf; Talo, Muhammed; Yildirim, Ozal; Karabatak, Murat; Acharya, U Rajendra
Advances in artificial intelligence technologies have made it possible to obtain more accurate and reliable results using digital images. Due to the advances in digital histopathological images obtained using whole slide image (WSI) scanners, automated analysis of digital images by computer support systems has become interesting. In particular, deep learning architectures, are one of the preferred approaches in the analysis of digital histopathology images. The deeper networks trained on large amounts of image data are adapted for different tasks using transfer learning technique. In this study, automated detection of invasive ductal carcinoma (IDC), which is the most common subtype of breast cancers, is proposed using deep transfer learning technique. We have used deep learning pre-trained models, ResNet-50 and DenseNet-161 for the IDC detection task. The public histopathology dataset containing 277,524 image patches were used in our experimental studies. As a result of training on the last layers of pre-trained deep networks, DenseNet-161 model has yielded F-sore of 92.38% and balanced accuracy value of 91.57%. Similarly, we have obtained F-score of 94.11% and balanced accuracy value of 90.96% using ResNet-50 architecture. In addition, our developed model is validated using the publicly available BreakHis breast cancer dataset and obtained promising results in classifying magnification independent histopathology images into benign and malignant classes. Our developed system obtained the highest classification performance as compared to the state-of-art techniques and is ready to be tested with more diverse huge databases.
AtıfScopus297OpenAlex318İncele
