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Abnormal Heart Sound Detection Using Ensemble Classifiers
(IEEE, 2018) Zan, Hasan; Yildiz, Abdulnasir
Phonocardiogram is used for ambulatory diagnostic to assess health status of heart and detect cardiovascular disease. The goal of this study is to develop automatic classification method of PCG recordings collected from different databases and recorded in a different way. For this purpose, after various time and frequency domain features are extracted from PCG recordings obtained from two databases, recordings are subjected to pre-classification in order determine which database they are obtained from. Before final classification, various time, frequency and time-frequency domain features of classified recordings are extracted. These features are fed into four different classification ensembles trained with training dataset. With final decision rule, proposed algorithm achieved an accuracy of 98.9%, a sensitivity of 93.75% and a specify of 99.5%.
Citation - WoS: 11
Citation - Scopus: 20
Activity of Metalaxyl-M plus mancozeb, Fosetyl-Al, and Phosphorous Acid against Phytophthora Crown and Root Rot of Apricot and Cherry Caused by Phytophthora palmivora
(CZECH ACADEMY AGRICULTURAL SCIENCES, 2017) Türkölmez, Şahimerdan; Derviş, Sibel
Crown and root rot, caused by the Oomycete pathogen Phytophthora palmivora, has become a destructive disease of apricot and cherry in eastern Turkey. There are no currently registered fungicides labeled for its control. In greenhouse experiments conducted in 2012 and 2013, 1-year-old potted apricot rootstock Zerdali and cherry rootstock Mahaleb plants were treated either with foliar spray of fosetyl-Al (140, 160, and 180 g a.i./100 l) or phosphorous acid (187.5, 200, and 215 g a.i./100 l) or soil drench of 100 ml of metalaxyl-M (= mefenoxam)+mancozeb (12+192, 16+256, and 20+320 g a.i./100 l) one day after wound inoculation of crowns and roots. In both years, phosphorous acid at 200 and 215 g a.i./100 l, fosetyl-Al at 160 and 180 g a.i./100 l, and metalaxyl-M+mancozeb at 20+320 g a.i./100 l significantly reduced the root rot severity on Zerdali by 70.68-80.00% and crown rot severity on both Zerdali and Mahaleb, by 68.32-91.96 and 74.21-82.60%, respectively, compared with phosphorous acid at 187.5 g a.i./100 l, fosetyl-Al at 140 g a.i./100 l, metalaxyl-M+mancozeb at 12+192 and 16+256 g a.i./100 l and control. Moreover, fosetyl-Al at 180 g a.i./100 l and metalaxyl-M+mancozeb at 20+320 g a.i./100 l significantly reduced the root rot severity on Mahaleb compared to fosetyl-Al at 140 and 160 g a.i./100 l, metalaxyl-M+mancozeb at 12+192 and 16+256 g a.i./100 l, phosphorous acid treatments and control in 2012, providing the best control of the disease by 88.00-90.68%. Two/three phosphorous acid foliar applications at 200 g a.i./100 l suppressed symptom development when field applications were made on a curative basis in 2014 and 2015.
Citation - Scopus: 1
Activity of nanosized copper-boron alloys against Phytophthora species
(Springer Science and Business Media Deutschland GmbH, 2023) Yiğit, Uğur; Türkkan, Muharrem; İlhan, Hasan; Şimşek, Tuncay; Güler, Ömer; Derviş, Sibel
This study aimed to evaluate the antifungal activity of copper-boron (Cu-B) nanoalloys against a range of Phytophthora species, including P. capsici, P. citrophthora, P. palmivora, P. cinnamomi, P. nicotianae, P. cactorum, P. plurivora, P. inundata, and P. megasperma. The nanoalloys were synthesized via mechanical alloying under an argon atmosphere, resulting in the formation of nanocrystalline Cu-B nanoalloys with irregular morphology and particle sizes ranging from 50 to 240 nm. At a concentration of 250 µg mL−1, the Cu-B nanoalloys demonstrated complete inhibition of mycelial growth, sporangium production, and zoospore germination in all tested Phytophthora species. The EC50 values for mycelial growth ranged from 28.02 to 120.17 µg mL−1, while for sporangium production and zoospore germination, they were below 10 µg mL−1. Furthermore, the nanoalloys exhibited fungicidal activity against specific Phytophthora species, such as P. capsici, P. citrophthora, P. inundata, and P. megasperma, at concentrations of 100, 250, 250, and 250 µg mL−1, respectively. Notably, the Cu-B nanoalloys displayed significant protective and curative effects on tuber rot severity in P. nicotianae-inoculated potatoes, resulting in reductions of 94.13% and 92.61% compared to the control, respectively, at a concentration of 10 µg mL−1 (P < 0.05). These findings highlight the potential of Cu-B nanoalloys as a promising fungicide for the management of plant diseases caused by Phytophthora spp.
Citation - WoS: 7
Citation - Scopus: 17
Adsorptive Performance of Magnetic Nano-Biosorbent for Binary Dyes and Investigation of Comparative Biosorption
(Springer international Publishing Ag, 2019) Tarhan, Tuba; Tural, Bilsen; Boga, Kenan; Tural, Servet
The individual and competitive biosorption capacities of Metanil Yellow (MY) and Reactive Black 5 (RB5) by glutaraldehyde cross-linked magnetic chitosan nanoparticles (GMCNs) were studied. Competitive biosorption of the MY and RB5 dyes by the GMCNs has never been reported previously. Fourier transform infrared technique has been used to show the biosorbed MY and RB5 dyes onto GMCNs. During the studies, various essential factors influencing the biosorption, like adsorbate concentration, pH of the solution and contact time have been monitored.The equilibrium was achieved within 17 h for single dyes and 3 h for binary mixture at pH 3. The biosorption capacities were 620 mg/g for dye MY and 2549 mg/g for dye RB5 at pH 3, 30 degrees C. The second-order kinetic model has good compatibility with the dynamical biosorption behavior of a single dye and binary mixture. In order to study the competition biosorption of the RB5 and MY dyes in mixture solutions, the intraparticle diffusion model was used. Competition biosorption through analysis of the intraparticle diffusion model apparently favored the RB5 dye more than the MY dye on the GMCNs in mixture solutions. The biosorbent was regenerated efficiently through the alkaline solution and was then reused ten times for biosorption-desorption cycles.
Citation - WoS: 9
Citation - Scopus: 12
Allelic variations of glutenin subunits and their association with quality traits in bread wheat genotypes
(2017) Aktaş, Hüsnü; Baloch, Faheem Shehzad
The present study was conducted to evaluate the genotype × environment interaction of the yield and quality traits for five bread wheat varieties commonly grown in the Southeastern Anatolia Region of Turkey and 20 advanced lines developed within the framework of the International Winter Wheat Improvement Project. We also determined the allelic pattern of the Glu-1 and Glu-3 loci of these genotypes and examined whether these loci had an effect on the quality traits. There was a significant variation among the genotypes and environments in terms of grain yield, protein content, sedimentation volume (SV), and the extensograph dough energy value (EDEV). The results of the study indicated that genotypic effect was more influential on SV and EDEV than environmental effect; thus, both traits could be used in breeding programs to develop elite cultivars with better quality. Twelve different high-molecularweight (HMW) glutenin alleles were identified at the Glu-A1, Glu-B1, and Glu-D1 loci, resulting in 14 allelic combinations, and 17 different alleles were observed in 19 combinations for low-molecular-weight (LMW) subunits. Furthermore, among all the genotypes, 13 + 16 and 13 + 19 alleles at Glu-B1 and 5 + 12 at Glu-D1 were observed to have the lowest frequency. Our study indicated that the combinations of HMW glutenin alleles with 2* at Glu-A1, 17 + 18 and 13 + 16 at Glu-B1, and 5 + 10 at Glu-D1, as well as the combinations of LMW alleles with subunits c and d at Glu-A3; subunits d, b, c, and g at Glu-B3; and subunits a and b at Glu-D3 had positive effects on the quality traits.
Citation - WoS: 15
Citation - Scopus: 13
Alternaria alternata causing inner black rot of lemon (Citrus limon) fruits in Turkey: Genetic diversity and characterisation
(ScienceDirect, 2023) Güney, İnci Güler; Derviş, Sibel; Fatih Tekin, Tacettin Utku Günen, Göksel Özer
The market sales of symptomless lemons in 2020 revealed a persistent and severe internal black rot with browning of the membrane wall and juice sac. To investigate the causal agent, externally symptom-free lemons from Mediterranean locations were sampled from supermarkets, local markets, and bazaars in three southeastern Turkish provinces. Internal black rot symptoms were observed in 13.69% of the 1300 externally symptomless fruits, and Alternaria was isolated from 96.63% of those exhibiting these symptoms. Morphological analysis confirmed the identity of Alternaria alternata in 26 representative isolates collected from various markets and bazaars. To examine genetic diversity or polymorphisms, start codon targeted (SCoT) markers were used. Species identification was based on the sequences of translation elongation factor 1-alpha (TEF 1-α), RNA polymerase second largest subunit (RPB2), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH). SCoT 29 exhibited the highest amount of polymorphic amplicons, with 18 polymorphic bands scored when compared to the other six scoreable markers. The 26 representative isolates from various markets and bazaars were divided into four clades by SCoT 29. However, multilocus sequence analyses confirmed the identification of a single species, A. alternata. In terms of virulence and the impact of temperature on growth, representative isolates from four SCoT clusters were evaluated. Data suggests that SCoT markers can be used to evaluate virulence-based polymorphism in A. alternata; nonetheless, all clades showed comparable temperature responses, with 25 ◦C being the optimum. There was also no association between individual morphotypes and SCoT clade membership. Due to the lack of obvious signs on lemon fruits, producers, merchants, and consumers are unable to identify black rot, and the widespread presence of A. alternata in lemons may pose a significant risk that must be avoided at all costs.
Citation - WoS: 1
Citation - Scopus: 3
Amino Acid Profile, Nutrients Content and Yield of Chickpea (Cicer Arietinum L.) Genotypes
(Scibulcom Ltd, 2015) Dogan, Y.; Doğan, Yusuf; 06.02. Department of Plant Protection / Bitki Koruma Bölümü; 06. Faculty of Agricultural Sciences and Technologies in Kızıltepe / Kızıltepe Tarım Bilimleri ve Teknolojileri Fakültesi; 01. Mardin Artuklu University / Mardin Artuklu Üniversitesi
Chickpea has significant amounts of all the essential amino acids except sulphur-containing types. It was found that chickpea is a rich source of protein and minerals. The experiments were conducted in a Randomised Complete Block Design with three replications 2013 and 2014 years in South-Eastern Turkey. A total of fifteen varieties, lines and populations were used as materials. In the study were investigated different parameters such as amino acids of protein, seed yield, protein and fat rate in seed, phosphorus, potassium, calcium, manganese, zinc, copper and iron contents and of seeds. The essential amino acid leucine (8.43 mg/100 g in 2013 and 8.59 mg/100 g in 2014) was found in highest concentration, followed by lysine (7.14 mg/100 g in 2013 and 7.27 mg/100 g in 2014) and phenylalanine (5.99 mg/100 g in 2013 and 6.07 mg/100 g in 2014) in the chickpea. Mineral composition of chickpea genotypes showed that they contribute sufficient amount of Ca, P, K, Cu, Zn and Mg in human diets to meet the recommended dietary allowance. According to the average of two years, the highest grain yield was obtained from Diyar-95 variety with 1618 kg ha(-1), the lowest grain yield was obtained from M-1 local population with 1104 kg ha(-1).
Citation - WoS: 25
Citation - Scopus: 32
AMMI Model to Assess Durum Wheat Genotypes in Multi-Environment Trials
(JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY, 2018) Tekdal, S; Kendal, E.
The goal of this research was to assess the stability and yield performance of 150 durum wheat genotypes in multi-environment trials in two locations (Diyarbakir and Kiziltepe), in 2011-2012, and 2012-2013 growing seasons. The trials were designed by Lattice Experimental Design with two replications (incomplete block design). The AMMI (Additive Main Effects and Multiplicative Interaction) and GEI (GenotypexEnvironment Interaction) analysis were used in the study to estimate GEI effects on grain yield, because of plant breeders' great interest in these models for breeding programs. AMMI evaluation indicated that genotypes made the most important contributions to treatments Sum of Squares (59.8%), environments (3.5%), and GEI (36.7%), respectively, suggesting that grain yield had been affected by environment. IPCA 1 and IPCA 2 axes (Principal Component) were significant as P< 0.01 and explained 63.8 and 36.2%, respectively. Results showed that Kiziltepe 2013 was more stable and high yielding, meanwhile Diyarbakir 2012 and Diyarbakir 2013 environments were unstable and low yielding. According to stability variance, usually the province lines were more productive and stable than some old cultivars and many landraces/genotypes. Moreover, genotype G24 was more effective in all environments. The GEI model according to AMMI analysis suggested that this genotype can be considered as a candidate, due to extensive adaptability and high performances in all environments.
Citation - WoS: 201
Citation - Scopus: 342
Analysis and Mitigation of Power Quality Issues in Distributed Generation Systems Using Custom Power Devices
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018) Hossain, Eklas; Tur, Mehmet Rida; Padmanaban, Sanjeevikumar; Ay, Selim; Khan, Imtiaj
This paper discusses the power quality issues for distributed generation systems based on renewable energy sources, such as solar and wind energy. A thorough discussion about the power quality issues is conducted here. This paper starts with the power quality issues, followed by discussions of basic standards. A comprehensive study of power quality in power systems, including the systems with dc and renewable sources is done in this paper. Power quality monitoring techniques and possible solutions of the power quality issues for the power systems are elaborately studied. Then, we analyze the methods of mitigation of these problems using custom power devices, such as D-STATCOM, UPQC, UPS, TVSS, DVR, etc., for micro grid systems. For renewable energy systems, STATCOM can be a potential choice due to its several advantages, whereas spinning reserve can enhance the power quality in traditional systems. At Last, we study the power quality in dc systems. Simpler arrangement and higher reliability are two main advantages of the dc systems though it faces other power quality issues, such as instability and poor detection of faults.
Citation - WoS: 2
Citation - Scopus: 4
Analysis of Feature Selection Approaches in Large Scale Cyber Intelligence Data with Deep Learning
(IEEE, 2020) Ahmetoğlu, Hüseyin; Daş, Resul
Ağ sistemlerinin her geçen gün katlanarak büyüyen boyutu, saldırı yoğunluğunun ve türlerinin de artmasına neden olmaktadır. Ağ içerisinde bu saldırıların tespiti, ağ güvenliğinin başlıca problemlerindendir. Saldırı tespit sistemleri, bu problemle başa çıkmak için geliştirilen bir yaklaşımdır. Saldırı tespit sistemlerinde işlenen büyük boyutlu veriler beraberinde karmaşıklığ da getirmektedir. Bu çalışma, veri kümelerindeki karmaşıklığı gidermek için 6 farklı öznitelik seçme algoritmasının incelenmesini ve bu algoritmaların sınıflandırma modellerindeki performanslarının karşılaştırılmasını içermektedir. Bu performanslar, açık erişimli olarak sunulan CICIDS2017 veri seti üzerinde uygulanan Derin Öğrenme modelleri ile analiz edilmiştir. Bu işlem sırasında algoritmaların test sonuçları hem kendi aralarında hem de veri setinin orijinal haliyle karşılaştırılmıştır. Uygulama sırasında veri kümesindeki öznitelik sayıları çoklu sınıflandırma için 78’den 25’e, ikili sınıflandırma için 8’e düşürülmüştür. Elde edilen başarı oranları bütün uygulamalarda %92’nin üzerindedir.
Citation - WoS: 15
Citation - Scopus: 22
Analysis of Open Circuit Voltage MPPT Method with Analytical Analysis with Perturb and Observe (P&O) MPPT Method in PV Systems
(Taylor and Francis Ltd., 2023) Çakmak, Fevzi; Aydoğmuş, Zafer; Tür, Mehmet Rıda
This study conducts a comprehensive comparison between two prominent Maximum Power Point Tracking (MPPT) techniques employed in solar energy systems: the Perturb and Observe (P&O) method and the Analytical Solution Fractional Open Circuit Voltage (ASFOCV) method. To assess the effectiveness of these MPPT approaches, a simulation study was conducted using four SHARP NDQ295 model photovoltaic panels, configured as two panels in series and two in parallel. Both the P&O and ASFOCV MPPT methods were evaluated under various scenarios of radiation levels and temperature changes. The results unequivocally demonstrate the superior performance of the ASFOCV MPPT method over the P&O MPPT method. The ASFOCV method notably enhanced converter output power by up to 5% when compared to the P&O method, leading to more efficient energy production. Furthermore, the ASFOCV method exhibited rapid stabilization of output voltage during abrupt weather changes, outperforming the P&O method in this regard. This study underscores the potential of the ASFOCV MPPT method to enhance the efficiency of solar energy systems and its adaptability to fluctuating environmental conditions. Future research endeavors could focus on mitigating the ASFOCV method’s sensitivity to temperature variations and conducting real-world applications to further investigate its performance under practical circumstances.
Citation - WoS: 23
Citation - Scopus: 31
Analysis of Promising Barley (Hordeum Vulgare L.) Lines Performance by AMMI and GGE Biplot in Multiple Traits and Environment
(Aloki Applied Ecological Research and Forensic Inst Ltd, 2019) Tekdal, S.; Dogan, S.; Kendal, E.; Karaman, M.
The development of stable and adaptable new cultivars are based only on positive results obtained from the interaction between the genotype and the environment. Therefore, the study aimed to test the stability and general adaptability of promising barley lines in terms of grain yield and traits in multi -environments. For this purpose, twelve barley genotypes were used in the study. The trials were carried out with four replications in a random design at seven environments in years 2012-13 and 2013-14. The superior and stable genotypes were identified with GGE biplot and AMMI (Additive main effects and multiplicative interaction) models. The AMMI analysis showed that the major treatment sum of squares was affected by environments (80.6%), GE (14.0%) and genotypes (5.4%), respectively. On the other hand, the first two principal component axes (PCA 1 and PCA 2) contributed to the complete interaction with 88.1%, whereas, PCA 3 and PCA 4 axes only with 12.0%. The GGE biplot indicated that G4 is adaptable for all environments, while Altikat, G2 and G3 showed specific adaptation to El, E3 and E5, G6, G7 and G8 to E6, respectively. According to both techniques, G2, G3, G6, G7, G8 and Altikat were the best genotypes with high yield, whereas G4 was the best with high yield, and stable and general adaptation. The results of biplot indicated that G4 (ARUPO /K8755//MORA/3/CERISE/SHYRIHALEL I/4/CANELA/5/HART-BAR) was recommended for release and it was released as HEVSEL in 2017. On the other hand; G7 and G6 were protected as genetic material to use as parent in breeding programs for yield stability and quality respectively.
Citation - WoS: 11
Citation - Scopus: 11
Anoxybacillus sp. SO B1-Immobilized Amberlite XAD-16 for Solid-Phase Preconcentration of Cu(II) and Pb(II) and Their Determinations by Flame Atomic Absorption Spectrometry
(TAYLOR & FRANCIS INC, 2015) Oral, Elif Varhan; Ozdemir, Sadin; Dolak, Ibrahim; Okumus, Veysi; Dundar, Abdurrahman; Ziyadanogullari, Berrin; Aksoy, Zehra; Onat, Ruken
A new method for the determination of Cu(II) and Pb(II) by flame atomic absorption spectrometry (FAAS) after preconcentrating on a column containing Anoxybacillus sp. SO B1-immobilized Amberlite XAD-16 was developed. The functional groups of Anoxybacillus sp. SO B1 immobilized on Amberlite XAD-16 were characterized in KBr tablets by Fourier transform infrared (FT-IR) spectrometry. Various parameters such as pH, amount of the adsorbent, eluent type and volume, and flow rate of the sample solution were studied. The optimum pH values of quantitative sorption for Cu(II) and Pb(II) were found to be pH 7.0 and 5.0 and Cu(II) and Pb(II) ions could be quantitatively eluted with 5.0ml of 1.0mol L-1 HCI and 10.0ml of 0.25mol L-1 HNO3, respectively. Recoveries of Cu(II) and Pb(II) were found to be 100.9 +/- 1.57% and 100.3 +/- 0.49% (N = 5), the limits of detection of Cu(II) and Pb(II) in the determination by FAAS (3s, N = 10) were found to be 0.8 and 1.6 mu g L-1, respectively. The proposed enrichment method was applied for metal ion determination from water samples such as two parts of Tigris River water in Diyarbakir and Elazig, Lake of Hazar in Elazig, and tap water in Diyarbakir. Furthermore, the accuracy of the proposed method was verified by studying the analytical recovery and by analyzing certified reference material (NCS-DC 73350 leaves of poplar).
Citation - WoS: 25
Citation - Scopus: 32
Antibiotic Removal from the Aquatic Environment with Activated Carbon Produced from Pumpkin Seeds
(Molecules, 2022) Alacabey, İhsan
Antibiotics are among the most critical environmental pollutant drug groups. Adsorption is one of the methods used to eliminate these pollutants. In this study, activated carbon was produced from pumpkin seed shells and subsequently modified with KOH. The adsorbent obtained through this procedure was used to remove ciprofloxacin from aqueous systems. Fourier Transform-Infrared Spectroscopy (FT-IR), Scanning Electron Microscopy (SEM), elemental, X-ray Photoelectron Spectroscopy (XPS), Brunauer–Emmett–Teller (BET) and Zeta analyses were used to characterize the adsorbent. The surface area, in particular, was found to be a very remarkable value of 2730 m2/g. The conditions of the adsorption experiments were optimized based on interaction time, adsorbent amount, pH and temperature. Over 99% success was achieved in removal operations carried out under the most optimal conditions, with an absorption capacity of 884.9 mg·g−1. In addition, the Langmuir isotherm was determined to be the most suitable model for the adsorption interaction
Citation - WoS: 22
Citation - Scopus: 23
Antioxidant Properties of Cultured Mycelia from Four Pleurotus Species Produced in Submerged Medium
(TAYLOR & FRANCIS INC, 2013) Dundar, Abdurrahman; Okumus, Veysi; Ozdemir, Sadin; Yildiz, Abdunnasir
The ethanolic extracts of dried cultured mycelia of Pleurotus ostreatus, Pleurotus eryngii, Pleurotus florida, and Pleurotus sajor-caju were analyzed for antioxidant activity in different systems. Tests used are as follows: reducing power, free radical scavenging, superoxide anion radical scavenging, total antioxidant activity, metal chelating activitiy, etc.; total phenolic content was determined. The percentage inhibition of P. ostreatus, P. eryngii, P. florida, and P. sajor-caju at 20 mg/mL concentration on peroxidation in a -carotenelinoleic acid system was 57.19, 60.68, 62.12, and 58.81%, respectively. The reducing power of P. eryngii was higher than the other samples, and its value was 0.86 at 10 mg/mL concentration. P. ostreatus and P. sajor-caju proved to be better at scavenging superoxide anion radicals than the P. eryngii and P. florida. In the scavenging effect of DPPH radical test, P. ostreatus showed the highest activity potential and P. sajor-caju showed the strongest metal chelating capacity.
Citation - WoS: 4
Citation - Scopus: 4
Application of Half-Sandwich Metal-Phosphinite Compounds to Biological Activities: Determine the energies of the HOMO and LUMO levels
(Wiley Online Library, 2022) Meriç, Nermin; Rafikova, Khadichakhan; Zazybin, Alexey; Güzel, Remziye; Kayan, Cezmi; Karakaş, Duygu Elma; Dündar, Abdurrahman; ISLAM, Sholpan; Okumuş, Veysi; Aydemir, Murat
Mononuclear transition metal complexes 1-(furan-2-yl)ethyldiphenyl[dichloro(η6-p-cymene)ruthenium(II)]phosphinite, (2), 1-(furan-2-yl)ethyldiphenyl[dichloro(η6-benzene) ruthenium(II)] phosphinite (3), 1-(furan-2-yl)ethyldipheny[chloro(η4-1,5-cyclooctadiene)rhodium(I)]phosphinite (4), 1-(furan-2-yl)ethyldiphenyl[dichloro (η5pentamethylcyclopentadienyl)iridium (III)] phosphinite (5) were synthesized and characterized by microanalysis, infrared, MS, and NMR spectroscopy. The biological activities of the complexes were also tested. Compounds 2 and 5 were the best complexes at DPPH radical scavenging and reducing power activity at 73.27 % and 0.41 at 200 μg/mL, respectively. The highest antimicrobial activity exhibited by complex 3 as 14 mm inhibition zone against S. aureus. All of the complexes have cleaved the DNA from the double-strand and exhibited three bands on gel electrophoresis. Moreover, cyclic voltammetry studies of the phosphinite complexes were carried out to determine the energies of the HOMO and LUMO levels as well as to estimate their electrochemical and some electronic properties.
Citation - WoS: 4
Arpada Tane Verimi ve Kalite Özellikleri Üzerine Genotip ve Çevrenin Etkileşimi
(2019) Tür, Mehmet Rıda; Yıldırım, Mehmet; Akıncı, Cuma; Albayrak, Önder
Bu çalışma, bazı arpa genotiplerinin tane verimi ve kalite özellikleri üzerine çeşit ve çevrenin etkilerini belirlemek amacıyla, 2011-2012 yılında Diyarbakır ve Mardin koşullarında yürütülmüştür. Araştırmada, 2 adet ticari çeşit ve 5 adet ileri hat kullanarak tane verimi, bin tane ağırlığı, hektolitre ağırlığı, protein içeriği, nişasta içeriği ve klorofil içeriği değerleri incelenmiştir. Elde edilen sonuçlara göre, genotip, çevre ve çeşit x çevre interaksiyonunun incelenen özellikler üzerine etkileri istatistikî olarak önemli bulunmuştur. Genotiplerin tane verimi 413.60-661.63 kg da-1, bin tane ağırlığı 42.21- 45.02 g, hektolitre ağırlığı 58.92-66.39 kg/hl, tanede protein içeriği %11.70-14.24, tanede nişasta içeriği %59.8-61.2 ve klorofil içeriği 44.4- 48.6 değerleri arasında değişmiştir. Her iki lokasyonda da Altıkat çeşidi en yüksek tane verimi değerine sahip olmuştur. DZA-7, DZA-8 ve Dicle 1 hatları protein içeriği, hektolitre ağırlığı ve nişasta içeriği özellikleri yönünden ön plana çıkmışlardır. Biplot analizi ile tüm özellikler incelendiğinde tane verimi, bin tane ağırlığı ve SPAD değeri aynı grupta yer alırken protein içeriği, nişasta içeriği ve hektolitre ağırlığı özellikleri aynı grupta yer almıştır.
Citation - WoS: 42
Citation - Scopus: 40
Association with Leptin Gene c.-2548 G > A Polymorphism, Serum Leptin Levels, and Body Mass Index in Turkish Obese Patients
(HUMANA PRESS INC, 2013) Say Şahin, Deniz; Tümer, Cemil; Demir, Cemil; Çelik, M. Murat; Çelik, Mustafa; Uçar, Edip; Güneşaçar, Ramazan
Leptin is a protein hormone which plays a critical role in the regulation of both body-weight through reducing food intake and stimulating energy expenditure. Several polymorphisms in leptin gene (LEP), which encodes for leptin, have been described. However, its association with obesity is still controversial. Therefore, in the present study, we aimed to investigate whether LEP c.-2548 G > A polymorphism was associated with serum leptin levels, lipid parameters, and body mass index in Turkish obese patients. Forty-seven obese patients and 48 healthy individuals were included in the study. Blood samples were collected for DNA extraction. LEP c.-2548 G > A polymorphism were detected using polymerase chain reaction-restriction fragment length polymorphism technique. Serum leptin levels and lipid parameters were measured by ELISA and enzyme colorimetric assay techniques, respectively. GA or AA genotypes and A allele carrier frequencies of the c.-2548 G > A polymorphism in the LEP were higher in obese (38.3, 34.0 and 72.3 %) when compared with controls (14.6, 12.5, and 27.1 %; p = 0.011, 0.016, and 0.002, respectively). On the other hand, AA or AG genotypes were also related to increased serum leptin levels (p < 0.001) and body mass index (p < 0.0001). All these consequences showed that LEP -2548 AA or AG genotypes are important predictors for increased levels of leptin and BMI in Turkish obese patients and it may be a useful marker for obesity risk in our population.
Citation - WoS: 8
Citation - Scopus: 21
Automatic Detection of Brain Tumors With the Aid of Ensemble Deep Learning Architectures and Class Activation Map Indicators by Employing Magnetic Resonance Images
(Elsevier, 2024) Turk, Omer; Ozhan, Davut; Acar, Emrullah; Akinci, Tahir Cetin; Yilmaz, Musa
Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving role. The brain tumor is formed by the transformation of brain cells from their normal structures into abnormal cell structures. These formed abnormal cells begin to form in masses in the brain regions. Nowadays, many different techniques are employed to detect these tumor masses, and the most common of these techniques is Magnetic Resonance Imaging (MRI). In this study, it is aimed to automatically detect brain tumors with the help of ensemble deep learning architectures (ResNet50, VGG19, InceptionV3 and MobileNet) and Class Activation Maps (CAMs) indicators by employing MRI images. The proposed system was implemented in three stages. In the first stage, it was determined whether there was a tumor in the MR images Tumor) were detected from MR images (Multi-class Approach). In the last stage, CAMs of each tumor group were created as an alternative tool to facilitate the work of specialists in tumor detection. The results showed that the overall accuracy of the binary approach was calculated as 100% on the ResNet50, InceptionV3 and MobileNet architectures, and 99.71% on the VGG19 architecture. Moreover, the accuracy values of 96.45% with ResNet50, 93.40% with VGG19, 85.03% with InceptionV3 and 89.34% with MobileNet architectures were obtained in the multi-class approach.
Citation - Scopus: 1
Balina Optimizasyon Algoritması Kullanılarak Türkiye’nin Uzun Vadeli Enerji Tüketimi Tahmini
(IEEE Xplore, 2021) Babaoğlu, Merve; Haznedar, Bülent
Enerji, ülkelerin sürdürülebilir kalkınmaları için en önemli konu başlıklarından biridir. Kullanılan enerjinin tükenebilir olması, birçok enerji kaynağını ithal ediyor olması ve çevresel faktörlerden dolayı Türkiye için gelecekte enerji ihtiyacının ne kadar olabileceğinin tahmin edilebilmesi büyük önem taşımaktadır. Bu çalışmada Türkiye’nin 2040 yılına kadarki enerji tüketim tahminini yapabilmek adına, sezgisel algoritmalardan balina optimizasyon algoritması (BOA) tercih edilmiştir. Balina optimizasyon algoritmasının performansını belirleyebilmek için elde edilen veriler, genetik algoritma (GA) sonuçları ile karşılaştırılmıştır. Tüm modeller doğrusal olarak düzenlenip sonuç alınmıştır. Enerji talebini etkileyen gayri safi yurtiçi hasıla (GSYH), nüfus, ithalat ve ihracat gibi bağımsız değişkenlerin 1990-2019 yılları arasındaki verileri kullanılmıştır. Sonuçların doğruluğunu hesaplayabilmek için geçmiş 30 yılın modellenmesi sağlanmıştır. En uygun model elde edildikten sonra gelecek 20 yıl için 4 farklı senaryoya göre tahminler yapılmıştır.

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