Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Zengin, Gokhan(26)
- Erten, Fusun(20)
- Orhan, Cemal(17)
- Sahin, Kazim(17)
- Gul, Muhammet(15)
- Benzer, Fulya(12)
- Kocabaş, Mehmet(12)
- Aglar, Erdal(11)
- Serdar, Osman(11)
- Akkurt, Nevzat(10)
- Topal, Murat(10)
- Yeşiltepe, Akgün(10)
- Yucesan, Melih(10)
- Danabas, Durali(9)
- Er, Besir(9)
- Kutlu, Banu(9)
- Mahomoodally, Mohamad Fawzi(9)
- Uba, Abdullahi Ibrahim(9)
- Yildirim, Ozal(9)
- Öbek, Erdal(9)
- Acharya, U. Rajendra(8)
- Alp Dal, Nursel(8)
- Cakilcioglu, Ugur(8)
- Kandemir, Fatih Mehmet(8)
- Yildirim, Nuran Cikcikoglu(8)
- Arslan Topal, E. Işıl(7)
- Baloglu, Ulas Baran(7)
- Ozbey, Ulku(7)
- Sahin, Nurhan(7)
- Talo, Muhammed(7)
- Ates, Mehmet(6)
- Attar, Rukset(6)
- Dal, Nursel Alp(6)
- Gümüşsoy, Süreyya(6)
- Gürarslan Baş, Nazan(6)
- Ince, Muharrem(6)
- Kaplan Serin, Emine(6)
- Kutluyer, Filiz(6)
- Ozturk, Burhan(6)
- Aksu, Onder(5)
Yayınlar
- MakaleAçık Erişim2019Scopus SJRQ2Ultrasound as pretreatment for drying garlic slices in microwave and convective dryer
Bozkir, Hamza; Rayman Ergün, Ahsen; Tekgül, Yeliz; Baysal, Taner
The effects of ultrasound pretreatment (US) before hot air drying (HAD) and microwave drying (MWD) of garlic slices were investigated. For this aim ultrasonic bath at 30 °C for 30 min (35 kHz), microwave oven at 540 W power and tray dryer at 60 °C and with 1.0 m/s air flow rate were used to reach the final moisture content of 5%. Drying rate increased in the US + HAD and the US + MWD groups by 19.30% and 13.82% respectively in comparison with control groups. The effective moisture diffusivity (D eff ) of garlic slices were calculated from Fick’s diffusion model for the HAD, US + HAD, MWD and the US + MWD groups as 1.420 × 10 −10 , 1.826 × 10 −10 , 1.177 × 10 −8 , 1.363 × 10 −8 m 2 /s respectively. The rehydration rates increased, and bulk densities were decreased in the US + HAD and the US + MWD compared to the control groups. The color values were significantly affected after ultrasound pretreatment. Redness, and yellowness increased most in the US + HAD group.
AtıfScopus53WoS47OpenAlex58
İncele - MakaleAçık Erişim2019Scopus SJRQ2Improvement of sperm motility of Oncorhynchus mykiss and Salvelinus fontinalis by L-tryptophan
Kocabaş, Mehmet; Kutluyer, Filiz; Ertekin, Özlem; Aksu, Önder; Başçınar, Nadir
Experiments were designed to test the influence of L-tryptophan supplementation of the extender on the sperm motility parameters and bacterial flora of brook trout (Salvelinus fontinalis) and rainbow trout (Oncorhynchus mykiss). The extender containing 0.3 M glucose in 10% Dimethyl sulfoxide (DMSO) was supplemented with 0, 0.5, 1, 2, and 4 mM L-tryptophan. Sperm samples stored for up to 12 days at 4°C for brook trout were motile while motility was not observed after six days of storage for rainbow trout. Diluted sperm samples were spread-plated onto Plate Count Agar (PCA) (Total Bacteria Count), Rose Bengal Agar (RBC) (Yeast-Mold Count), Violet Red Bile Dextrose (VRBD) (Enterobacteriaceae count) and Mannitol Salt Agar (MSA) (Micrococcus/Staphylococcus count) and counts were performed in duplicate and sampling occurred on day 0, 2, 4, 6, and 12 of cold storage. L-tryptophan supplementation of the extender yielded a positive effect, significantly prolonging sperm motility in S. fontinalis and O. mykiss compared to the control group (p < 0.05). The ideal results were obtained above a concentration of 0.5 mM for both species. Total bacteria count in fresh sperm (undiluted samples) was not detectable and not detected in sperm samples treated with different L-tryptophan concentrations. Yeast-mold, Enterobacteriaceae and Micrococcus/Staphylococcus were not detected from fresh and treated sperm brook trout and rainbow trout. On the basis of the results, L-tryptophan-based extender is useful for maintaining sperm quality in short-term storage. L-tryptophan had a negative effect on the bacterial flora. The results of the current study encourages further studies related to long-term storage and reproduction management. Abbreviations: DMSO: dimethyl sulfoxide; PCA: plate count agar; RBC: rose Bengal agar; VRBD: violet red bile dextrose; MSA: mannitol salt agar; SCA: sperm class analyzer; CFU: colony-forming unit.
AtıfScopus13WoS14OpenAlex13İncele - MakaleYalnız künye2019Scopus SJRQ1A new approach for arrhythmia classification using deep coded features and LSTM networks
Yildirim, Ozal; Baloglu, Ulas Baran; Tan, Ru-San; Ciaccio, Edward J.; Acharya, U. Rajendra
Background and objective: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG)signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor have limited hardware capabilities. For improved diagnostic capacity, it would be helpful to detect arrhythmic signals automatically. In this study, a novel approach is presented as a candidate solution for these issues. Methods: A convolutional auto-encoder (CAE)based nonlinear compression structure is implemented to reduce the signal size of arrhythmic beats. Long-short term memory (LSTM)classifiers are employed to automatically recognize arrhythmias using ECG features, which are deeply coded with the CAE network. Results: Based upon the coded ECG signals, both storage requirement and classification time were considerably reduced. In experimental studies conducted with the MIT-BIH arrhythmia database, ECG signals were compressed by an average 0.70% percentage root mean square difference (PRD)rate, and an accuracy of over 99.0% was observed. Conclusions: One of the significant contributions of this study is that the proposed approach can significantly reduce time duration when using LSTM networks for data analysis. Thus, a novel and effective approach was proposed for both ECG signal compression, and their high-performance automatic recognition, with very low computational cost.
AtıfScopus377OpenAlex388İncele - Derleme MakaleAçık Erişim2019Scopus SJRQ2Evaluation of X-ray tomography contrast agents: A review of production, protocols, and biological applications
Koç, Mümin Mehmet; Aslan, Naim; Kao, Alexander P.; Barber, Asa H.
X-ray computed tomography is a strong tool that finds many applications both in medical applications and in the investigation of biological and nonbiological samples. In the clinics, X-ray tomography is widely used for diagnostic purposes whose three-dimensional imaging in high resolution helps physicians to obtain detailed image of investigated regions. Researchers in biological sciences and engineering use X-ray tomography because it is a nondestructive method to assess the structure of their samples. In both medical and biological applications, visualization of soft tissues and structures requires special treatment, in which special contrast agents are used. In this detailed report, molecule-based and nanoparticle-based contrast agents used in biological applications to enhance the image quality were compiled and reported. Special contrast agent applications and protocols to enhance the contrast for the biological applications and works to develop nanoparticle contrast agents to enhance the contrast for targeted drug delivery and general imaging applications were also assessed and listed.
AtıfScopus91OpenAlex101İncele - MakaleAçık Erişim2019Scopus SJRQ1Influence of ultrasound and osmotic dehydration pretreatments on drying and quality properties of persimmon fruit
Bozkir, Hamza; Rayman Ergün, Ahsen; Serdar, Emine; Metin, Gülhan; Baysal, Taner
In this study, the effect of the ultrasound and osmotic dehydration pretreatments before the convective drying of the persimmon fruit was assessed via their drying behavior and quality properties. Ultrasound-assisted osmotic dehydration (30 °C, 45 °Brix) was performed at 35 kHz for 10, 20, and 30 min. Afterward, samples were placed first in 45 then in 70 °Brix sucrose solutions; the solutions were next shaken at 100 rpm. The control group without ultrasound treatment dehydrated osmotically. The samples were dried in a tray drier at a temperature of 60 °C and an air velocity of 1.5 m/s. Ultrasound-assisted osmotic drying treatments increased water loss and sugar gain; moreover, the osmotic dehydration time was shorter than in the untreated group. The ultrasound-assisted osmotic dehydration demonstrated a significantly decreased drying time, increased drying rates, and a 21% increase in effective water diffusivity by 30 min. The ultrasound pretreated osmotic dehydration prior to hot air-drying decreased the total required drying time. The ultrasound-assisted osmotic dehydration affected the rehydration rate and total phenolic content significantly and there was no significant difference between the color change (ΔE, ΔC, and Hue°) of the ultrasound treatment (30 min) group and the untreated group.
AtıfScopus181WoS148OpenAlex178İncele - MakaleAçık Erişim2019Scopus SJRQ3Study of validity, reliability in accordance with Turkey conditions in ego functions assessment scale
Durmaz, Yadigar Çevik; Ünsal, Gül
Purpose: The aim of the study is to conduct a reliability and validity study of the Ego Function Assessment (EFA) scale. Design and Methods: The study was conducted with a total of 426 participants, which included 213 patients with schizophrenia and a control group of 213 normal individuals. The Individual Information Form, EFA Scale, Wonderlic Personnel Test, Adjective Check List, and Symptom Check List were used for data collection. Finding: All the statistical procedures performed in the validity and reliability stages of the study show that the scale is a valid, reliable measurement tool for the Turkish culture. Practice Implications: In psychiatric nursing, the use of the EFA scale can be recommended for planning individual patient care, which involves the assessment of a patient's functional adjustment on the basis of their own ego profile.
AtıfScopus4WoS4OpenAlex4İncele - MakaleYalnız künye2019Scopus SJRQ2Phanerochaete chrysosporium as a model organism to assess the toxicity of municipal landfill leachate from Elazığ, Turkey
Yildirim, Numan; Yildirim, Nuran Cikcikoglu; Tatar, Sule; Alp, Hevidar
In order to evaluate the potential ecological risk and the toxic effect of landfill leachate (LL), Phanerochaete chrysosporium was exposed to LL and their biochemical response was observed by using antioxidant parameters. Phanerochaete chrysosporium, ME 446, was kept at 4 °C after being sub-cultured at 28 °C on Sabouraud Dextrose Agar (SDA). Superoxide dismutase (SOD), catalase (CAT) activities, and malaondialdehyde (MDA) and glutathione (GSH) levels of P. chrysosporium exposed to different dilution rates of leachate (1/10 and 1/20) for 24 and 96 h were analyzed by using the ELISA method. The physiochemical parameters such as pH, conductivity, total dissolved solids (TDS), dissolved oxygen (DO), chemical oxygen demand (COD) of leachate, and reference water were analyzed by using the YSI Professional Plus handheld multiparameter meter. In this study, SOD activities were decreased in the application groups compared with the Control Group at the 24th and 96th hours. CAT activities and GSH levels increased in the application groups compared with the Control Group at the 24th hour but decreased at the 96th hours. MDA levels increased in all of the application groups when compared with the Control Group for both 24 and 96 h. Different concentration of LL induces oxidative stress in P. chrysosporium, increased CAT activity and MDA levels, and decreased SOD activity and GSH levels.
AtıfScopus7WoS5OpenAlex6İncele - MakaleAçık Erişim2019Scopus SJRQ1Convolutional neural networks for multi-class brain disease detection using MRI images
Talo, Muhammed; Yildirim, Ozal; Baloglu, Ulas Baran; Aydin, Galip; Acharya, U Rajendra
The brain disorders may cause loss of some critical functions such as thinking, speech, and movement. So, the early detection of brain diseases may help to get the timely best treatment. One of the conventional methods used to diagnose these disorders is the magnetic resonance imaging (MRI) technique. Manual diagnosis of brain abnormalities is time-consuming and difficult to perceive the minute changes in the MRI images, especially in the early stages of abnormalities. Proper selection of the features and classifiers to obtain the highest performance is a challenging task. Hence, deep learning models have been widely used for medical image analysis over the past few years. In this study, we have employed the AlexNet, Vgg-16, ResNet-18, ResNet-34, and ResNet-50 pre-trained models to automatically classify MR images in to normal, cerebrovascular, neoplastic, degenerative, and inflammatory diseases classes. We have also compared their classification performance with pre-trained models, which are the state-of-art architectures. We have obtained the best classification accuracy of 95.23% ± 0.6 with the ResNet-50 model among the five pre-trained models. Our model is ready to be tested with huge MRI images of brain abnormalities. The outcome of the model will also help the clinicians to validate their findings after manual reading of the MRI images.
AtıfScopus276OpenAlex301İncele - MakaleYalnız künye2019Scopus SJRQ3Palliative effect of curcumin on doxorubicin-induced testicular damage in male rats
Aksu, Emrah Hicazi; Kandemir, Fatih Mehmet; Yıldırım, Serkan; Küçükler, Sefa; Dörtbudak, Muhammed Baheeddin; Çağlayan, Cüneyt; Benzer, Fulya
This study aimed to investigate the effect of curcumin (CUR) on doxorubicin (DOX)-induced testicular damage in male rats. Thirty-five adult male Wistar rats were used. Control group was received saline for 7 days. CUR group received CUR for 7 days. DOX group received single dose DOX on the 5th day. DOX+ CUR-100 group received 100 mg/kg/day CUR for 7 days and DOX injection on the 5th day. DOX + CUR-200 group received 200 mg/kg/day CUR for 7 days and DOX injection on the 5th day. DOX treatment decreased in sperm motility rate, live sperm percentages, cellular antioxidants, and increased malondialdehyde (MDA) levels, necrosis, degenerations, and slimming in seminiferous tubules, and DNA damages in testes by inducing oxidative stress. CUR treatment mitigated significantly these side effects when compared with DOX group in a dose-dependent manner. In conclusion, CUR treatment can be used in the mitigation of DOX-induced testicular toxicity.
AtıfScopus56WoS51OpenAlex68İncele - MakaleAçık Erişim2019Scopus SJRQ3Correlation between smartphone addiction and dysfunctional attitudes in nursing/midwifery students
Serin, Emine Kaplan; Durmaz, Yadigar Çevik; Polat, Hilal Türkmen
Purpose: The aim of this study is to determine the correlation between smartphone addiction and dysfunctional attitudes. Design and Methods: This descriptive study was conducted with the students of Nursing/Midwifery Department of a state university from March 01 to April 01, 2018. Findings: Participant students had a mean score of 27.25 ± 11.41 in smartphone addiction scale and a mean score of 27.96 ± 14.74 in dysfunctional attitudes scale. The number of students' friends was found to affect their problem solving skills. Loneliness levels of participant students affected their dysfunctional attitude scores. Practice Implications: It is highly important for our country to have sufficient knowledge of smartphone addiction, detect the dysfunctional attitudes and develop nursing care methods.
AtıfScopus11WoS10OpenAlex14İncele - MakaleAçık Erişim2019Scopus SJRQ3Examining sexual functions of women before and after menopause in Turkey
Yağmur, Yurdagül; Orhan, İlksen
Background: Sexuality is an important factor that completes the lives of individuals and affects people in all age groups. Objectives: To examine the sexual functions of women before and after menopause. Methods: This cross-sectional study was conducted at the Family Health Centers in Tunceli Turkey,\ between September 2014 and February 2015. The study data were obtained using a Questionnaire and the Female Sexual Function Index. The data were analyzed by number, percentage distribution, mean, standard deviation, t-test, and using binary logistic regression analysis. Results: The mean Female Sexual Function Index score of the women was 23.8±8.0. The Female Sexual Function Index score of 59.7% of women was below the cut-off score (26.55) and was accepted indicative of sexual dysfunction. Low educational level (P < 0.01), low income (P < 0.01), and menopausal status (P < 0.0001) of the women were risk factors for sexual dysfunction. Conclusion: Prevalence of sexual dysfunction in the women was very high and they indicated no effort to seek medical care. Low educational and income level and menopausal status of the women were three factors increasing the risk of sexual dysfunction. Awareness of the society and the healthcare professionals about the issue should be increased.
AtıfScopus18WoS18OpenAlex19İncele - MakaleAçık Erişim2019Scopus SJRQ2Paenidigyamycin A, potent antiparasitic imidazole alkaloid from the ghanaian Paenibacillus sp. De2Sh
Osei, Enoch; Kwain, Samuel; Mawuli, Gilbert Tetevi; Anang, Abraham Kwabena; Owusu, Kofi Baffour-Awuah; Camas, Mustafa; Camas, Anil Sazak; Ohashi, Mitsuko; Alexandru-Crivac, Cristina-Nicoleta; Deng, Hai
A new alkaloid paenidigyamycin A (1) was obtained from the novel Ghanaian Paenibacillus sp. isolated from the mangrove rhizosphere soils of the Pterocarpus santalinoides tree growing in the wetlands of the Digya National Park, Ghana. Compound 1 was isolated on HPLC at tR = 37.0 min and its structure determined by MS, 1D, and 2D-NMR data. When tested against L. major, 1 (IC50 0.75 µM) was just as effective as amphotericin B (IC50 0.31 µM). Against L. donovani, 1 (IC50 7.02 µM) was twenty-two times less active than amphotericin B (IC50 0.32 µM), reinforcing the unique effectiveness of 1 against L. major. For T. brucei brucei, 1 (IC50 0.78 µM) was ten times more active than the laboratory standard Coptis japonica (IC50 8.20 µM). The IC50 of 9.08 µM for 1 against P. falciparum 3d7 compared to artesunate (IC50 36 nM) was not strong, but this result suggests the possibility of using the paenidigyamycin scaffold for the development of potent antimalarial drugs. Against cercariae, 1 showed high anticercaricidal activity compared to artesunate. The minimal lethal concentration (MLC) and minimal effective concentration (MEC) of the compound were 25 and 6.25 µM, respectively, while artesunate was needed in higher quantities to produce such results. However, 1 (IC50 > 100 µM) was not active against T. mobilensis.
AtıfScopus32OpenAlex32İncele - Kitap BölümüYalnız künye2019Scopus SJRQ2TRAIL Mediated Signaling in Breast Cancer: Awakening Guardian Angel to Induce Apoptosis and Overcome Drug Resistance
Yin, Ning; Yi, Liu; Khalid, Sumbul; Ozbey, Ulku; Uteuliev, Yerzhan Sabitaliyevich; Farooqi, Ammad Ahmad; Ahmad, A
Sequencing technologies have allowed us to characterize highly heterogeneous molecular landscape of breast cancer with unprecedented details. Tremendous breakthroughs have been made in unraveling contributory role of signaling pathways in breast cancer development and progression. It is becoming progressively more understandable that deregulation of spatio-temporally controlled pathways underlie development of resistance against different drugs. TRAIL mediated signaling has attracted considerable appreciation because of its characteristically unique ability to target cancer cells while leaving normal cells intact. Discovery of TRAIL was considered as a paradigm shift in molecular oncology because of its conspicuous ability to selectively target cancer cells. There was an exponential growth in the number of high-quality reports which highlighted cancer targeting ability of TRAIL and scientists worked on the development of TRAIL-based therapeutics and death receptor targeting agonistic antibodies to treat cancer. However, later studies challenged simplistic view related to tumor targeting ability of TRAIL. Detailed mechanistic insights revealed that overexpression of anti-apoptotic proteins, inactivation of pro-apoptotic proteins and downregulation of death receptors were instrumental in impairing apoptosis in cancer cells. Therefore researchers started to give attention to identification of methodologies and strategies to overcome the stumbling blocks associated with TRAIL-based therapeutics. Subsequent studies gave us a clear picture of signaling cascade of TRAIL and how deregulation of different proteins abrogated apoptosis. In this chapter we have attempted to provide an overview of the TRAIL induced signaling, list of proteins frequently deregulated and modern approaches to strategically restore apoptosis in TRAIL–resistant breast cancers.
AtıfScopus6WoS7OpenAlex7İncele - MakaleYalnız künye2019Scopus SJRQ2The effect of a glyphosate-based herbicide on acetylcholinesterase (AChE) activity, oxidative stress, and antioxidant status in freshwater amphipod: Gammarus pulex (Crustacean)
Pala, Ayşegül
This study had determined the effect of glyphosate-based herbicide (GBH) on acetylcholinesterase (AChE) enzyme activity, oxidative stress, and antioxidant status in Gammarus pulex. Firstly, the 96-h LC50 value of glyphosate on G. pulex was determined and calculated as 403 μg/L. Subsequently, the organisms were exposed to sub-lethal concentrations (10, 20, and 40 μg/L) of the determined GHB for 24 and 96 h. The samples were taken from control and GBH-treated groups at 24 and 96 h of study and analysed to determine the malondialdehyde (MDA) and reduced glutathione (GSH) levels, the AChE, superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) enzyme activities. In the G. pulex exposed to GBH for 24 and 96 h, the MDA level increased significantly (p < 0.05). The GSH level, the AChE, the CAT, and the GPx activities decreased compared with the control group (p < 0.05). G. pulex exposure to GBH for 24 h showed a temporary reduction in the SOD. GBH exposure led to oxidative stress in the G. pulex as well as affected the cholinergic system of the organism. These results indicated that the parameters measured may be important indicators of herbicide contamination in G. pulex.
AtıfScopus33WoS31OpenAlex35İncele - MakaleYayıncıda açık erişim2019Scopus SJRQ2Evaluation of pharmacological activity of heterobimetallic coordination compounds containing n, n-bis (2-hydroxyethyl)-ethylenediamine on ht29, hela, c6 and vero cells
Aydin, Ali; Korkmaz, Şengül Aslan
The present study was conducted in order to investigate the pharmacological activities of three heterobimetallic coordination compounds: [Cd(N-bishydeten)2 ][Ni(CN)4 ] (C1), [Cu2 (N-bishydeten)2 Co(CN)6 ].3H2 O (C2), and K[Cd(N-bishydeten)Co(CN)6 ].1.5H2 O (C3) (N-bishydeten = N,N-bis(2-hydroxyethyl)-ethylenediamine). This paper describes the ability of complexes to inhibit cell growth, cell migration and human topoisomerase I and to interact with DNA/BSA; this paper also evaluates the potential mechanisms of action exhibited by these compounds via the use of powerful measurement techniques. Studies on HT29, HeLa, C6 and Vero cells revealed that each compound demonstrated significant antiproliferative activity in conjunction with regressed cell migration velocity and caused apoptotic changes in morphology. There are strong data suggesting that the mechanisms of action exhibited by these compounds are associated with their DNA/BSA binding features. The IC50 and binding constant range for the compounds are 20-180 µM and 1.2-3.2 x 104 M-1, respectively. Moreover, we observed that these compounds alter the P53-Bcl-2 ratio and inhibit the relaxation activity of human topoisomerase I. Furthermore, a correlation between the antiproliferative effects of these compounds and their cytotoxic activity was observed. In conclusion, preliminary information demonstrates that these compounds have been found to exhibit effective antiproliferative activity against cancer cell lines, indicating that they are a potent candidate for further pharmacological study.
AtıfScopus5WoS5OpenAlex3İncele - MakaleAçık Erişim2019Scopus SJRQ2Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
Yildirim, Ozal; Talo, Muhammed; Ay, B.; Baloglu, Ulas Baran; Aydin, G.; Acharya, U. Rajendra
In this study, a deep-transfer learning approach is proposed for the automated diagnosis of diabetes mellitus (DM), using heart rate (HR) signals obtained from electrocardiogram (ECG) data. Recent progress in deep learning has contributed significantly to improvement in the quality of healthcare. In order for deep learning models to perform well, large datasets are required for training. However, a difficulty in the biomedical field is the lack of clinical data with expert annotation. A recent, commonly implemented technique to train deep learning models using small datasets is to transfer the weighting, developed from a large dataset, to the current model. This deep learning transfer strategy is generally employed for two-dimensional signals. Herein, the weighting of models pre-trained using two-dimensional large image data was applied to one-dimensional HR signals. The one-dimensional HR signals were then converted into frequency spectrum images, which were utilized for application to well-known pre-trained models, specifically: AlexNet, VggNet, ResNet, and DenseNet. The DenseNet pre-trained model yielded the highest classification average accuracy of 97.62%, and sensitivity of 100%, to detect DM subjects via HR signal recordings. In the future, we intend to further test this developed model by utilizing additional data along with cloud-based storage to diagnose DM via heart signal analysis.
AtıfScopus145OpenAlex152İncele - MakaleAçık Erişim2019Scopus SJRQ2Using Box–Behnken design approach to investigate benzo[a]anthracene formation in smoked cattle meat samples and its’ risk assessment
Kaplan Ince, Olcay; Ince, Muharrem
In present study, a novel approach was selected for benzo[a]anthracene determination from smoked cattle meat samples using solid phase extraction under various experimental conditions. To optimize experimental variables, a three factor, three-level Box–Behnken experimental design combining with response surface methodology and quadratic programming were employed to prevent excessive amount of benzo[a]anthracene formation in smoked meat based on different experimental parameters. The influence of some important process parameters including cooking time (10–30 min), fat ratio (5–25%) and distance to the cooking source (5–25 cm), which significantly affected the formation efficiency of benzo[a]anthracene were optimized. The analysis of variance was conducted for specifying the interactions of independent variables. The independent and the dependent variables interactions were investigated. The quadratic regression model and the response surface contour plots were used to determine optimum values for the selected variables. The results of study revealed that optimum cooking time of smoked cattle meat was determined as 24.9 min, fat ratio 7.9% and the distance to the cooking source 21.8 cm. Under optimum conditions, minimum benzo[a]anthracene was formed in meat and its amount was determined using high performance liquid chromatography-mass spectrophotometer as qualitative and quantitative. The limit of detection and limit of quantitation values were calculated as 0.4 µg kg −1 and 1.1 µg kg −1 , respectively.
AtıfScopus4WoS4OpenAlex8İncele - MakaleYalnız künye2019Scopus SJRQ2The Evaluation of Imidacloprid Remediation in Soil Media by Two Bacterial Strains
Erguven, Gokhan Onder; Yildirim, Numan
Imidacloprid (C9H10ClN5O2) is used as the most recommended type of insecticide in vegetable farming worldwide. Two types of bacteria (Methylobacterium radiotolerans and Microbacterium arthrosphaerae) were isolated from a corn farming field in the Thrace region of Turkey, and then consortia of these bacteria were prepared from equal volumes of 107 CFU/ml for each bacterium type. Imidacloprid remediation studies were carried out during 18 days in soil test units. The water filtered from these soil test units was determined for chemical oxygen demand (COD) and biochemical oxygen demand (BOD5) to determine the optimum concentration of microorganisms to ascertain the best removal efficiency of Imidacloprid. COD removal rates were 98.7%, 96.4% and 51.6% with 80, 40, and 20 ml volumes of the consortia of bacteria, respectively, at the end of 18 days. The BOD5 removal rates were 88.4%, 78.6% and 49.9% in the same volumes of bacteria, respectively. As a result of this study, we have found that this bacterial consortium is very effective for the bioremediation of this insecticide at the two volumes of 40 and 80 ml, both being better than 20 ml.
AtıfScopus35WoS34OpenAlex37İncele - MakaleAçık Erişim2019Scopus SJRQ2A deep learning model for automated sleep stages classification using PSG signals
Yildirim, Ozal; Baloglu, Ulas Baran; Acharya, U Rajendra
Sleep disorder is a symptom of many neurological diseases that may significantly affect the quality of daily life. Traditional methods are time-consuming and involve the manual scoring of polysomnogram (PSG) signals obtained in a laboratory environment. However, the automated monitoring of sleep stages can help detect neurological disorders accurately as well. In this study, a flexible deep learning model is proposed using raw PSG signals. A one-dimensional convolutional neural network (1D-CNN) is developed using electroencephalogram (EEG) and electrooculogram (EOG) signals for the classification of sleep stages. The performance of the system is evaluated using two public databases (sleep-edf and sleep-edfx). The developed model yielded the highest accuracies of 98.06%, 94.64%, 92.36%, 91.22%, and 91.00% for two to six sleep classes, respectively, using the sleep-edf database. Further, the proposed model obtained the highest accuracies of 97.62%, 94.34%, 92.33%, 90.98%, and 89.54%, respectively for the same two to six sleep classes using the sleep-edfx dataset. The developed deep learning model is ready for clinical usage, and can be tested with big PSG data.
AtıfScopus255OpenAlex265İncele - MakaleAçık Erişim2019Scopus SJRQ2Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals
Ay, Betul; Yildirim, Ozal; Talo, Muhammed; Baloglu, Ulas Baran; Aydin, Galip; Puthankattil, Subha D.; Acharya, U. Rajendra
Depression affects large number of people across the world today and it is considered as the global problem. It is a mood disorder which can be detected using electroencephalogram (EEG) signals. The manual detection of depression by analyzing the EEG signals requires lot of experience, tedious and time consuming. Hence, a fully automated depression diagnosis system developed using EEG signals will help the clinicians. Therefore, we propose a deep hybrid model developed using convolutional neural network (CNN) and long-short term memory (LSTM) architectures to detect depression using EEG signals. In the deep model, temporal properties of the signals are learned with CNN layers and the sequence learning process is provided through the LSTM layers. In this work, we have used EEG signals obtained from left and right hemispheres of the brain. Our work has provided 99.12% and 97.66% classification accuracies for the right and left hemisphere EEG signals respectively. Hence, we can conclude that the developed CNN-LSTM model is accurate and fast in detecting the depression using EEG signals. It can be employed in psychiatry wards of the hospitals to detect the depression using EEG signals accurately and thus aid the psychiatrists.
AtıfScopus279OpenAlex291İncele