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Abnormal Heart Sound Detection Using Ensemble Classifiers
(Institute of Electrical and Electronics Engineers Inc., 2019) Zan, H.; Yildiz, A.; Zan, Hasan
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%. © 2018 IEEE.
Activity of nanosized copper-boron alloys against Phytophthora species
(Springer Science and Business Media Deutschland GmbH, 2023) Derviş, Sibel; 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.
Alternaria alternata causing inner black rot of lemon (Citrus limon) fruits in Turkey: Genetic diversity and characterisation
(ScienceDirect, 2023) Derviş, Sibel; 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.
Amino Acid Profile, Nutrients Content and Yield of Chickpea (Cicer Arietinum L.) Genotypes
(Scibulcom Ltd, 2015) Dogan, Y.; Doğan, Yusuf
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).
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.
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; Tür, Mehmet Rıda; 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.
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) Dündar, Abdurrahman; 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).
ANTİ-KANSER İLAÇ YÜKLENMİŞ MANYETİK O-KARBOKSİ METİL KİTOSAN NANOKOMPOZİTİN SİTOTOKSİSİTE ÇALIŞMALRI
(2019) Tarhan, Tuba; Tural, Bilsen; Tural, Servet
Günümüzde kanser kemoterapisinin en önemli sorunlarına çözüm bulmak için nanoboyutta ilaç taşıyıcı sistemler geliştirilmiştir. Nanoboyuttaki kontrollü ilaç taşıma sistemleri tümör hedeflenmesine olanak sağlamıştır. Nanotaşıyıcılar arasından, biyouyumlu polimer kaplı süperparamanyetik nanoparçacıklar dışardan uygulanan manyetik alan ile istenilen bölgeye hedeflenebilme özelliklerine sahiptirler. Bu sayede ilaç hedeflenen bölgeye güvenli bir şekilde taşınabilmektedir. Bu çalışmada daha önce sentez ve karakterizasyonu yapılmış Manyetik O-Karboksimetil Kitosan nanokompozitine anti kanser ilaç olan Topotekan yükleme çalışmaları yapılmış olup, burada topotekan yüklü manyetik O-Karboksimetil Kitosan nanokompozitinin prostat kanseri Du145 ve sağlıklı insan prostat PNT1A hücre hattı üzerine sitotoksisite çalışmaları yapılmış ve sonuçları değerlendirilmiştir. Anahtar Kelimeler: Polimer Kaplı Süperparamanyetik Nanokompozit, Topotekan, Sitotoksisite, DU145 ve PNT1A
Application of Half-Sandwich Metal-Phosphinite Compounds to Biological Activities: Determine the energies of the HOMO and LUMO levels
(Wiley Online Library, 2022) Dündar, Abdurrahman; 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.
Association with Leptin Gene c.-2548 G > A Polymorphism, Serum Leptin Levels, and Body Mass Index in Turkish Obese Patients
(HUMANA PRESS INC, 2013) Demir, Cemil; Say Şahin, Deniz; 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.
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.
Biological assays, electrochemical behavior, and theoretical DFT calculations of Ru(II) complexes of chiral phosphinite based based on β-amino alcohols: Transfer hyrogenation of ketones using a HCOOH/Et3N mixture
(Elsevier, 2024) Dündar, Abdurrahman; Meriç, Nermin; Ertekin Binbay, Nil; Okumuş, Veysi; Sever, M. Şerif; Belyankova, Yelizaveta; Tursynbek, Saniya; Dauletbakov, Anuar; Sarah, Bayazit; Zolotareva, Darya; Yerassyl, Kamshyger; Dündar, Abdurahman
Synthesis of two phosphinite ligands based on β-amino alcohols, in high yields has been demonstrated. When we treated [Ru(arene)(μ-Cl)Cl]2 {arene:p-cymene,benzene} with chelating phosphinite ligands, we obtained neutral Ru(II)-complexes possessing the general formula [Ru(arene)phosphiniteCl2]. The structure of the ligands and complexes was confirmed using analytical and spectroscopic techniques. The quantum chemical calculations were carried out for the ruthenium complexes at the DFT/CAM-B3LYP level of theory in gas phase. The phosphinite complexes were subjected to cyclic voltammetry studies in order to determine the energies of HOMO and LUMO levels and to estimate their electrochemical and some electronic properties. Organic complex-based memory substrates were immobilized using TiO2-modified ITO electrodes, and the memory functions of phosphinite-based organic complexes were verified by chronoamperometry (CA) and open-circuit potential amperometry (OCPA). In the present study, the antioxidant potentials of ruthenium-based p-cymene and benzene complexes through DPPH radical scavenging, metal chelating, and reducing power activities were also determined. In addition, DNA binding abilities and antimicrobial activities of these complexes against pathogenic bacteria were studied. Finally, the ruthenium complex, (2S)-1-{[(2S)-2-[(diphenylphosphanyl)oxy]propyl][(1R)-1-phenylethyl]amino}propan-2-yldiphenyl phosphinitobis[dichloro(η6-benzene)ruthenium(II)] also catalyzed asymmetric transfer hydrogenation of acetophenone with high conversion (up to 99%) and good enantioselectivity (ee up to 89 %), in the existence of formic acid and triethylamine in dichloromethane medium under air atmosphere.
Biosorption of chlorophenoxy acid herbicides from aqueous solution by using low-cost agricultural wastes
(TAYLOR & FRANCIS INC, 2015) Dündar, Abdurrahman; Celik, K. Serdar; Ozdemir, Sadin; Dundar, Abdurrahman; Kilinc, Ersin
The potential biosorption abilities of apple shell (AS), orange peel (OP), banana peel (BP), and millet waste (MW) as a bio-waste material to remove 2,4-dichlorophenoxy acetic acid (2,4-D), 2,4-dichlorophenoxy propanoic acid (2,4-DP), and 2,4-dichlorophenoxy butyric acid (2,4-DB) from aqueous solution were investigated in batch condition. Optimum biosorption conditions were determined as a function of contact time, pH of the solution, amount of biomass, and initial pesticide concentrations. The concentrations of the pesticides in the remaining solutions were simultaneously determined by high performance thin layer chromatography. Langmuir and Freundlich models were applied to describe the biosorption isotherm of the pesticides by agricultural wastes. The experimental adsorption data were fitted to Langmuir adsorption models (r(2)>0.99). It was found that adsorption of 2,4-DP was higher for all biosorbent. The highest maximum adsorption capacities of 2,4-DP were found as 40.08, 22.71, 33.26, and 45.45mg/g, respectively, for AS, OP, BP, and MW. Maximum adsorption capacity was obtained for 2,4-D as OP>MW>BP>AS, 2,4-DP as MW>AS>BP>OP, and 2,4-DB as OP>AS>BP>MW. From the results, it can be said that MW was an effective biosorbent for removal of 2,4-DP and OP was an effective biosorbent for removal of 2,4-D and 2,4-DB through the studied pesticides. Optimum biosorption conditions were determined as 60min of contact time, 100mg of biomass, AS at pH 6.0, OP at pH 6.0, MW at pH 7.0, and BP at pH 7.0. FT-IR was employed to understand the surface properties of biosorbents. According to the results, agricultural wastes have high adsorption capacity.
Boletus edulis loaded with gamma-Fe2O3 nanoparticles as a magnetic sorbent for preconcentration of Co(II) and Sn(II) prior to their determination by ICP-OES
(SPRINGER WIEN, 2018) Kılınç, Ersin; Yalçın, M. Serkan; Kılınç, Ersin; Soylak, Mustafa
The authors show that the fungus Boletus edulis loaded with gamma-Fe2O3 nanoparticles is a viable sorbent for magnetic solid phase extraction of trace levels of Co(II) and Sn(II). The surface structure of immobilized magnetized B. edulis was characterized by FT-IR, SEM and EDX. Experimental parameters were optimized. Following elution with 1 M HCl, the ions were quantified by ICP-OES. The limits of detection are 21 pg.mL(-1) for Co(II), and 19 pg.mL(-1) for Sn(II). The preconcentration factors are 100 for both ions. The sorption capacities of the sorbent are 35.8 mg.g(-1) for Co(II) and 29.6 mg.g(-1) for Sn(II). The method was applied to the analysis of certificated reference materials and gave >= 95% recoveries with low RSDs. It was also successfully applied to the quantification of Co(II) and Sn(II) in spiked environmental and food samples.
BOR NİTRÜR VE TÜREVLERİNİN BİYOMEDİKAL ALANDA UYGULAMALARI
(2022) Tarhan, Tuba
Bor nitrür (BN), eşit sayıda bor ve nitrojen atomundan oluşan kovalent bir katıdır. Sergilediği olağanüstü özellikler sayesinde oldukça dikkat çekmiş ve çığır açacak yeni uygulamalar için beklentileri artırmıştır. Yapısal olarak karbon sistemine benzeyen BN'ler dört farklı poli kiristal formda bulunur: grafit benzeri altıgen BN (h-BN), eşkenar dörtgen (r-BN), elmas benzeri kübik BN (c-BN) ve wurtzite BN (w-BN) (1-3). Özellikle h-BN, iki boyutlu (2D) katmanlı yapı sunan standart koşullar altında en kararlı BN fazıdır. Bor atomları için sp2 hibridizasyonu gözlemlenir ve B-N-B veya N-B-N arasında beklenen bağ açısı 120˚ olup, grafit gibi mükemmel bir altıgen halka bağ ağı oluştururken, 2D katmanlar zayıf van der Waals kuvvetleri tarafından bir arada tutulur (2,4,5). BN nanomalzemeleri, nanoküreler, nanotüpler (BNNT), nanolifler, nanofulleren (BNFL), kuantumdot (BNQD) nanoşeritler (BNNR), ince filmler ve nanolevhalar (BNNS) gibi tüm morfolojik şekillerde bulunabilir (Şekil 1) (6,7).İlgi çekici kimyasal, fiziksel ve biyolojik özelliklerinden dolayı bor nitrür, bilimsel ve teknolojik topluluklar tarafından büyük ilgi görmüştür (4). BN malzemeleriyle ilgili yayınların sayısı son on yılda çarpıcı bir biçimde arttmıştır (bkz. Şekil 2a). Şekil 2b, 2019'daki BN materyallerinin yayın durumunu göstermektedir: yaklaşık %50'si nanomalzemelerle ilgilidir ve hem BNNT'ler hem de BNNS'ler üzerine yapılan araştırmalar yaklaşık %20'sini oluşturmaktadır. Bu raporlara göre BN sistemleri optoelektronik cihazlar (1,8,9), kuantum yayıcılar (1,10,11), yarı iletkenler (1,12), enerji depolama (1,13), termal iletkenler (1,14), kozmetik ürünler (1,15), su temizleme (1,16,17), fotokatalitik (1,18) ve ayrıca biyomedikal bilimi (1,19) vb. üzerine yapılan çalışmalar ile ilgili verileri içermektedir (1).Bu bölümde, odak noktasının in vivo ve in vitro olduğu, bor nitrürün kedisi, türevleri, bir kaplama malzemesi veya kompozit halinin biyouyumluluğu ve anti-bakteriyel özelliklerinden dolayı biyomedikal uygulamalarda kullanılabilme potansiyelleri araştırılıyor. Bor nitrür, ilaç dağıtımı, görüntüleme ve hücre stimülasyonu gibi tıbbi alanlarda bazı uygulamalar için yeni bir kapı açacaktır (20). Ayrıca, BN nanoparçacıkları van der Waals, hidrofilik, hidrofobik, hidrojen bağı ve π-π etkileşimleri gibi moleküller arası etkileşimlerin yanı sıra kovalent olmayan etkileşimler ile işlevselleştirilebilmesi sayesinde, konakçı sistemlere güçlü bir şekilde bağlanır (4,21). Moleküllerin sahip olduğu bu fiziksel etkileşimlerin (konjuge, yüzey aktif maddeler vb.) avantajlarını kullanarak kontrollü fizikokimyasal özellikleri ile farklı ortamlara homojen bir şekilde dağılırlar (4, 22). Literatürde, selüloz filmler veya lifler (4,23,24), kitosan (4,25), polietilenimin aşılanmış nanoşerit (mikro RNA'nın tanınması için) (4,26), vinil asetat kopolimeri (4,22), oktadesilamin (4,27), glukoz oksidaz biyoalgılama (4,28), poli (etilen glikol) (4,29), DNA (4,30) ve metalik nanopartiküller gibi farklı nanoparçacıkları içeren kovalent ve kovalent olmayan çeşitli işlevselleştirme metodolojileri sunulmuştur (4). Bu bileşiklerin başarısı ve performansı için en önemli konu, her türlü inorganik veya biyolojik sistem için en uygun işlevselleştirme sürecinin (biyo-nanomühendislik) seçimidir (4). Fiziksel-kimyasal modifikasyonlar ve uygulamaları için en önemli adım, nanokompleksin kimyasal olarak kararlı, iyi dağılmış ve ilgili biyolojik ortamla uyumlu olmasıdır. Böylece tanı ve tedavi amaçlı ekolojik paketleme, biyo-robotlar, tümör belirteçleri gibi biyoteknoloji ve biyomedikal alanlarda gelişmiş uygulamalara sahip akıllı nano sistemler üretilebilmektedir (4). Bu bölümde, bor nitrürün işlevselleştirilmesinin ana yöntemleri, bunların biyoteknoloji ve nanotıp alanındaki gelişmeleri ve potansiyel uygulamaları hakkında kısa bir rapor sunuyoruz.
Canker and leaf scorch on olive (Olea europaea L.) caused by Neoscytalidium dimidiatum in Turkey
(ScienceDirect, 2022) Derviş, Sibel; Özer, Göksel; Türkölmez, Şahimerdan; Derviş, Sibel
In a recent survey of olive groves in the Southeast Anatolia Region of Turkey, a new and serious decline of olive trees, beginning with foliar scorching and then dieback of twigs, branches, and even whole trees, was observed for the first time. In more advanced stages of the disease, necrosis and cankers were observed on the bark of the trunk, branches, and twigs. Isolations from symptomatic tissues from multiple cultivars in diverse locations yielded Neoscytalidium dimidiatum, which were identified using ITS, tef1, and tub2 loci of genomic DNA, in combination with morphological data. In vitro studies showed that conidial germination, hyphal growth, and pycnidia formation of the pathogen were positively correlated with elevated temperatures. Wild type olive “Delice”, “Edincik Su”, and “Memecik” seemed like the most resistant cultivars on which disease severity values were the lowest among 14 screened olive cultivars in two experimental orchards under natural conditions. Pathogenicity tests showed that “Gemlik” was the most susceptible cultivar showing the largest cankers and extensive scorch lesions. Isolates caused canker but not leaf scorch on O. europaea cultivars “Arbequina” “Halhalı”, “Manzanilla”, “Nizip Yağlık”, and “Saurani”. Neoscytalidium isolates are likely to have a negative impact on the health of diverse olive groves, which are primarily confined to Mediterranean-type climatic regions. These findings suggest an increased risk of infection in environments with increasing temperatures, as is common in the Southeast Anatolia Region of Turkey. The information gathered in this study will be used to examine the disease's epidemiology and establish disease control initiatives. This is also the first report of N. dimidiatum infecting O. europaea in the world.
Characterization and pathogenicity of Pythium-like species associated with root and collar rot of kiwifruit in Turkey
(In Plant Disease, 2021) Derviş, Sibel; Özer, Göksel; Karaca, Gürsel; Erper, İsmail; Derviş, Sibel
During the period of June to October in 2018, a widespread decline was observed on kiwifruit vines in the vineyards located in Altınordu, Fatsa, and Perşembe districts of Ordu province. The symptoms were associated with reddish-brown rots expanding from the root to the collar with sparse off-color foliage. Based on the percentage of the total infected samples across 18 vineyards, the most common oomycete species were Globisporangium intermedium (37.1%), Phytopythium vexans (34.3%), G. sylvaticum (14.3%), G. heterothallicum (11.4%), and Pythium dissotocum (2.9%). The morphological identification of isolates was confirmed based on partial DNA sequences containing the nuclear rDNA internal transcribed spacer region (rDNA ITS) and the mitochondrial cytochrome c oxidase subunit II (coxII) gene. The optimum growth temperature and the optimum pH of 5 species ranged from 22.98 to 28.25°C and 5.67 to 8.51, respectively. Pathogenicity tests on the seedlings of kiwifruit cv. Hayward revealed significant differences in virulence among isolates. Phytopythium vexans and G. sylvaticum isolates caused severe root and collar rot resulting in seedling death, while G. heterothallicum and G. intermedium isolates had relatively lower virulence. All Globisporangium spp. and P. vexans isolates significantly decreased plant growth parameters (plant height, shoot and root dry weights and root length); however, P. dissotocum caused very mild symptoms and did not affect these parameters of growth. To our knowledge, this is the first study reporting G. sylvaticum, G. heterothallicum, and G. intermedium causing root and collar rot on kiwifruit not only in Turkey but also in the world.
The characterization of phenolic compounds via LC-ESI-MS/MS, antioxidant, enzyme inhibitory activities of Salvia absconditiflora, Salvia sclarea, and Salvia palaestina: A comparative analysis
(ScienceDirect, 2022) İzgi, Mehmet Necat; İzgi, Mehmet Necat; Cinar, Ahsen Sevda; Zengin, Gökhan; Yılmaz, Mustafa Abdullah
Abstract Salvia L. genus, one of the medicinal and aromatic plants belonging to the Lamiaceae family, is represented by many endemic species in temperate regions worldwide. The Salvia species have plenty of usages in traditional medicine, important pharmacological effects and economic value. In this context, this study was conducted to evaluate the chemical profile and potential bioactivity of ethyl acetate extracts from 3 different Salvia species; Salvia absconditiflora (Salvia cryptantha- an endemic species), S. sclarea and S. palaestina collected from different localities in Anatolia. Total phenolic-flavonoid contents, antioxidant properties and enzyme inhibition experiments were investigated in tested Salvia species. The phenolic profiles were also determined by liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The analysis revealed the presence of phenolic compounds in ethyl acetate extracts such as cynaroside, rosmarinic acid, cosmosiin, luteolin, apigenin and acacetin. The highest level of phenolic components was detected in S. absconditiflora with 74.16 mg GAE/g. The best radical scavenging and reducing abilities were found in S. absconditiflora (DPPH: 251.39 mg TE/g; ABTS: 340.16 mg TE/g; CUPRAC: 496.20 mg TE/g; FRAP: 322.94 mg TE/g). Moreover, the inhibition of AChE, BChE, and α-amylase has also been studied. The most potent AChE inhibitory ability was recorded in S. sclarea (4.00 mg GALAE/g), followed by S. palaestina (3.38 mg GALAE/g) and S. absconditiflora (3.01 mg GALAE/g). The extracts exhibited similar amylase inhibitory effects. These results reveal that Salvia species [S. absconditiflora (S. cryptantha), S. sclarea and S. palaestina] confirming their potential can be rich sources of promising bioactive compounds as a starting point for further analysis. In addition, it is thought that this study may be the new report for the construction of helpful databases in terms of shedding light on future research and researchers with the valuable information obtained about these economically important Salvia species.
A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data
(Sage Journals, 2022) Uyulan, Caglar; Erguzel, Turker Tekin; Türk, Ömer; Farhad, Shams; Metin, Bariş; Tarhan, Nevzat; Türk, Ömer
Automatic detection of Attention Deficit Hyperactivity Disorder (ADHD) based on the functional Magnetic Resonance Imaging (fMRI) through Deep Learning (DL) is becoming a quite useful methodology due to the curse of-dimensionality problem of the data is solved. Also, this method proposes an invasive and robust solution to the variances in data acquisition and class distribution imbalances. In this paper, a transfer learning approach, specifically ResNet-50 type pre-trained 2D-Convolutional Neural Network (CNN) was used to automatically classify ADHD and healthy children. The results demonstrated that ResNet-50 architecture with 10-k cross-validation (CV) achieves an overall classification accuracy of 93.45%. The interpretation of the results was done via the Class Activation Map (CAM) analysis which showed that children with ADHD differed from controls in a wide range of brain areas including frontal, parietal and temporal lobes.
Classification and analysis of epileptic EEG recordings using convolutional neural network and class activation mapping
(2021) Yildiz, Abdulnasir; Zan, Hasan; Said, Sherif; Zan, Hasan
Electrical bio-signals have the potential to be used in different applications due to their hidden nature and their ability to facilitate liveness detection. This paper investigates the feasibility of using the Convolutional Neural Network (CNN) to classify and analyze electroencephalogram (EEG) data with their time-frequency representations and class activation mapping (CAM) to detect epilepsy disease. Several types of pre-trained CNNs are employed for a multi-class classification task (AlexNet, GoogLeNet, ResNet-18, and ResNet-50) and their results are compared. Also, a novel convolutional neural network architecture comprised of two horizontally concatenated GoogLeNets is proposed with two inputs scalograms and spectrogram of the eplictic EEG signal. Four segment lengths (4097, 2048, 1024, and 512 sampling points) with three time-frequency representations (short-time Fourier, Wavelet, and Hilbert-Huang transform) are statistically evaluated. The dataset used in this research is collected at the University of Bonn. The dataset is reorganized as normal, interictal, and ictal. The maximum achieved accuracies for 4097, 2048, 1024, and 512 sampling points are 100 %, 100 %, 100 %, and 99.5 % respectively. The CAM method is used to analyze discriminative regions of time-frequency representations of EEG segments and networks' decisions. This method showed CNN models used different time and frequency regions of input images for each class with correct and incorrect predictions.

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