Meslek Yüksekokulları

Permanent URI for this communityhttps://hdl.handle.net/20.500.12514/27

Browse

Now showing 1 - 20 of 83

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: 9
Citation - Scopus: 11
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.
Allelic variations of glutenin subunits and their association with quality traits in bread wheat genotypes
(Turkish Journal of Agriculture and Forestry, 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: 14
Citation - Scopus: 19
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: 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).
Assessment of Parametric and Non-parametric Methods for Selecting Stable and Adapted Durum Wheat Genotypes in Multi-Environments
(Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2010) Kılıç, Hasan; Akçura, Mevlüt; Aktaş , Hüsnü
Seventeen parametric and non-parametric methods for grain yield of 5 cultivars and 20 advanced durum wheat genotypes evaluated across 10 environments during the 2004-2007 growing seasons were used to assess performance stability and adaptability of the genotypes as well as to study interrelationship among these methods. Biplot analysis based on the rank correlation matrix indicated that most non-parametric methods were significantly inter-correlated with parametric methods. The results also showed that stability methods could be classified into four groups based on biplot analyses. The group related to the dynamic stability concept and strongly correlated with mean grain yield included the parameters of regression coefficient (bi), alpha (αi), TOP (proportion of environments in which a genotype ranked in the top third), environmental variance (Si2), coefficient of variation (CVi), Di2, Si(3) and Si(6). The second group included Wricke’s ecovalence (Wi2), the Huehn’s parameters [Si(1) Si(2)], Shukla’s stability variance (σ2i), Plaisted and Peterson’s parameter (P59) and Tai’s model (λi) which were influenced by both yield and stability simultaneously. The third group included Kang’s parameter (RS) and superiority index (Pi), which only measures stability. Genotypes 18, 16 and 2 were most stables based on parametric and non-parametric stability methods used.
Citation - WoS: 7
Citation - Scopus: 20
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 - WoS: 17
Citation - Scopus: 19
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
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.
Citation - WoS: 3
Citation - Scopus: 4
Classification of electroencephalogram records related to cursor movements with a hybrid method based on deep learning
(Wiley Online Library, 2021) Türk, Ömer
In brain computer interface (BCI), many transformation methods are used whenprocessing electroencephalogram (EEG) signals. Thus, the EEG can be represen-ted in different domains. However, designing an EEG-based BCI system withoutany transformation technique is a challenge. For this purpose, in this study, aBCI model is proposed without any transformation. The classification of cursordown and cursor up movements using the EEG signals received from the brain isaimed at in the proposed model. The EEG patterns were classified using twomethods. Firstly, EEG signals were classified by classic convolutional neural net-work (CNN). Secondly, proposed hybrid structure obtained the EEG features,which were classified by k-NN and SVM, using CNN. Classification with CNNarchitecture gave a result of 68.15% while the hybrid method using k-NN andSVM classifiers yielded 97.55% and 97.61% respectively. The hybrid proposedmethod were more successful than the studies in the literature.
Citation - WoS: 62
Citation - Scopus: 68
Cyclophosphamide induced oxidative stress, lipid per oxidation, apoptosis and histopathological changes in rats: Protective role of boron
(Elsevier, 2020) Cengiz, Mustafa; Şahintürk, Varol; Cetik Yildiz, Songul; Kurcanay Şahin, İlknur; Bilici, Namık; Onur Yaman, Suzan; Altuner, Yılmaz; Appak-Baskoy, Sıla; Ayhanci, Adnan
Background Cyclophosphamide (CP) is an alkylating chemotherapeutic drug used in the treatment of many types of cancer. However, as with other chemotherapeutic drugs, the use of CP is limited by the damage to healthy tissues such as testes, bladder and liver as well as cancerous tissue. Boron (B) is a trace element with many biological properties such as antioxidant, anti-apoptotic and anti-lipid per oxidation. Methods This current study aims to determine protective effects of B on CP induced testicular toxicity. The rats were divided into 4 groups (control, CP, B and B plus CP groups). The testes of experimental animals were taken for histological, apoptotic markers and biochemical analysis. Results The damage to some seminifer tubules, loss of typical appearance, thinning of seminifer epithelium and relative enlargement of the tubule lumen were watched in testis of the group that administrated CP. Moreover, Bcl-2, TAC and GSH levels decreased while TOC, OSI, MDA, Bax and Caspase-3 levels increased. On the other hand, pretreatment limited to B in the B plus CP group, testicular tissue improved. In addition, Bcl-2, GSH, TAC levels increased, Bax, MDA, TOC, OSI and caspase-3 levels decreased. Conclusion B significantly reduced testicular lipid per-oxidation and strengthened antioxidant defenses. Our results showed that pre-treatment B can protect rat testis against CP-induced testicular damage owing to its anti-lipid per oxidation, anti-oxidant and anti-apoptotic properties.
Citation - WoS: 6
Citation - Scopus: 6
Design and Implementation of a Maximum Power Point Tracking System for a Piezoelectric Wind Energy Harvester Generating High Harmonicity
(Sustainability, 2021) Kurt, Erol; Özhan, Davut; Bizon, Nicu; Lopez-Guede, Jose Manuel
In this work, a maximum power point tracking (MPPT) system for its application to a new piezoelectric wind energy harvester (PWEH) has been designed and implemented. The motivation for such MPPT unit comes from the power scales of the piezoelectric layers being in the order of μW. In addition, the output generates highly disturbed voltage waveforms with high total harmonic distortion (THD), thereby high THD values cause a certain power loss at the output of the PWEH system and an intense motivation is given to design and implement the system. The proposed MPPT system is widely used for many different harvesting studies, however, in this paper it has been used at the first time for such a distorted waveform to our best knowledge. The MPPT consists of a rectifier unit storing the rectified energy into a capacitor with a certain voltage called VOC (i.e., the open circuit voltage of the harvester), then a dc-dc converter is used with the help of the MPPT unit using the half of VOC as the critical value for the performance of the control. It has been demonstrated that the power loss is nearly half of the power for the MPPT-free system, the efficiency has been increased with a rate of 98% and power consumption is measured as low as 5.29 μW
Citation - WoS: 7
Citation - Scopus: 10
Determination of trace Bi by ICP-OES after magnetic solid phase extraction with fullerene C-60 modified gamma-Fe2O3 superparamagnetic iron oxide nanoparticles
(ROYAL SOC CHEMISTRY, 2015) Kılınç, Ersin
In this research, a procedure for the preconcentration of Bi at trace levels in milk samples prior to inductively coupled plasma optical emission spectrometry (ICP-OES) is proposed. It is based on the batch magnetic solid phase extraction of Bi ions by fullerene C-60 modified maghemite (gamma-Fe2O3 superparamagnetic iron oxide nanoparticles - SPION) nanoparticles. The various factors that influence the preconcentration of Bi such as pH, the amount of magnetic nanoparticles, initial Bi concentration, sample volume and the effects of possible interfering ions were investigated. A linear analytical curve was achieved in the concentration range of 0.25-10 ng mL(-1) with a limit of detection of 0.06 ng mL(-1). The precision expressed as a RSD was 7.5% for a concentration of 0.25 ng mL(-1). The method was validated by the analysis of a standard reference material (NIST SRM 1643e). In addition, 96.6-98.7% recoveries were achieved for the spiked samples. Bi concentrations in ten milk samples were successfully determined after the developed method was applied. Bi content in the milk samples ranged from 6.5 to 14.3 ng mL(-1).
Citation - WoS: 26
Citation - Scopus: 28
Developed Analytical Expression for Current Harmonic Distortion of the Pv System's Inverter in Relation To the Solar Irradiance and Temperature
(Springer, 2021) Cangi, Hasan; Eid, Bilal; Yilmaz, Ahmet Serdar; Adak, Suleyman
This paper deals with modeling and simulation of the total harmonic distortion of the current (THDI) dispatched from the inverter and connected to nonlinear load. The change of THD(I)was examined in relation to the ambient temperature (T) and solar irradiance (G). The developed model is being used to extract parameters for a given THD(I)as a function of temperature and solar radiation. This study outlines the working principle of photovoltaic (PV) panel as well as PV array. Off-grid PV system is modeled by using Matlab/Simulink program, and detailed analytical study has been carried out in this work. The design, modeling and simulation of this study are performed from 50 up to 988 W/m(2)for solar irradiance. Harmonic components have negative effects on the steady-voltage stability of the PV system. Therefore, analytical expression is needed for steady-state stability analysis in order to reduce negative effects. Hence, two analytical expressions of THD(I)were obtained by two new different methods which are statistical package for the social sciences program and genetic expression programming. Eventually, two different methods have been verified by the Matlab/Simulink program in order to find out THD(I)and demonstrated the effectiveness of the proposed strategy. As a result of this study, it is observed that input current THDI of nonlinear load is too high at low irradiance. It is suggested that active harmonic filters should be used at low irradiance in order to produce better quality energy and avoid damages in the PV system.
Citation - WoS: 32
Citation - Scopus: 32
Development software program for extraction of photovoltaic cell equivalent circuit model parameters based on the Newton–Raphson method
(SpringerLink, 2022) Adak, Süleyman; Cangi, Hasan; Yılmaz, Ahmet Serdar; Arifoğlu, Uğur
Finding the equivalent circuit parameters for photovoltaic (PV) cells is crucial as they are used in the modeling and analysis of PV arrays. PV cells are made of silicon. These materials have a nonlinear characteristic. This distorts the sinusoidal waveform of the current and voltage. As a result, harmonic components are formed in the system. The PV cell is the smallest building block of the PV system and produces voltages between 0.5 V and 0.7 V. It serves as a source of current. The amount of radiation hitting the cell determines how much current it produces. In an ideal case, a diode and a parallel current source make up the equivalent circuit of the PV cell. In practice, the addition of a series and parallel resistor is made to the ideal equivalent circuit. There are many equivalent circuits in the literature on modeling the equivalent circuit of a PV cell. The PV cell single–diode model is the most used model due to its ease of analysis. In this study, the iterative method by Newton–Raphson was used to find the equivalent circuit parameters of a PV cell. This method is one of the most widely used methods for determining the roots of nonlinear equations in numerical analysis. In this study, five unknown parameters (Iph, Io, Rs, Rsh and m) of the PV cell equivalent circuit were quickly discovered with the software program prepared based on the Newton–Raphson method in MATLAB
Citation - WoS: 10
Citation - Scopus: 12
Development software program for finding photovoltaic cell open-circuit voltage and fill factor based on the photovoltaic cell one-diode equivalent circuit model
(Springer, 2024) Adak, Süleyman; Cangi, Hasan
The photovoltaic (PV) cell is the smallest building block of the PV solar system and produces voltages between 0.5 and 0.7 V. It acts as a current source in the equivalent circuit. The amount of radiation hitting the cell determines how much current it produces. The equivalent circuit of an ideal PV cell consists of a diode and a parallel current source. In order to express losses in applications, series and parallel resistance are added to the ideal equivalent circuit of the PV cell. There are many equivalent circuits in the literature for modeling the equivalent circuit of a PV cell. The single-diode equivalent circuit is the most widely used model because of its simplicity and ease of analysis. There are several methods available to estimate and analyze the parameters of PV cell models, such as Newton Raphson method, Lambert-W function, etc. In this study, the Newton Raphson method was used to find the equivalent circuit parameters of a PV cell. Fill factor is used to determine the quality of electricity generated by the photovoltaic cell. Open-circuit voltage is the maximum voltage value that the PV cell can transmit. The analysis of PV cell fill factor and open-circuit voltage was carried out using the developed software program. Then, the open-circuit voltage and fill factor were found using the software program prepared in MATLAB and given in Appendix.
Citation - Scopus: 14
Dose Ginger Have Preventative Effects on PONV-Related Eye Surgery? A Clinical Trial
(Anesthesiology and pain medicine, 2019) Sedigh Maroufi, Shahnam; Moradimajd, Parisa; Moosavi, Seyed Ali Akbar; Imani, Farnad; Samaee, Hamidreza; Oguz, Mehmet
Background: Postoperative nausea and vomiting (PONV) is considered a common complication of anesthesia, which, particularly in eye surgery, may exert pressure on stitches and open or leak the surgical wound, leading to bleeding. Objectives: We aimed to study the effect of ginger on PONV and changes in vital signs after eye surgery. Methods: In this triple-blind randomized controlled trial, 120 candidate patients for eye surgery were divided into group A (n = 40) and group B (n = 40). Patients in group A received the capsules of ginger 1 g while patients in group B received a placebo one hour before the procedure with 30 mL water. The incidence of nausea and the frequency of vomiting were evaluated at 0, 15, 30 minutes, and 2 hours after the operation. Also, the vital signs of the participants were recorded at certain times. Results: The results demonstrated a statistically significant difference in the frequency of nausea between group A and group B (P < 0.05). The severity of nausea was lower in group A than in group B immediately and 2 hours after recovery (P < 0.05). The incidence of vomiting was significantly lower in group A than in group B (P < 0.05). The vital signs were not significantly different between group A and group B (P > 0.05). Conclusions: Ginger was effective in the prevention of PONV after eye surgery but had no impact on vital signs. Hence, ginger is proposed to use as a low-cost, prophylactic measure for PONV reduction.
Citation - WoS: 24
Citation - Scopus: 28
Economic fast synthesis of olive leaf extract and silver nanoparticles and biomedical applications
(Taylor & Francis Online, 2021) Atalar, Mehmet Nuri; Baran, Ayşe; Baran, Mehmet Fırat; Keskin, Cumali; Aktepe, Necmettin; Yavuz, Ömer; İrtegun Kandemir, Sevgi
In this study, silver nanoparticles (AgNPs) were synthesized economically and simply using an environmentally friendly method with the extract obtained from agricultural waste olive leaves. AgNPs synthesized according to the analysis data were determined to have maximum absorbance at 433.5 nm wavelength, spherical appearance, 7.2 nm crystal nano size and -19.9 mV zeta potential. It was determined by the microdilution method with Minimum Inhibition Concentration (MIC) that AgNPs exert a suppressive effect on the growth of pathogen gram-negative, positive bacteria and yeast at very low concentrations. The cytotoxic effects of the particles were investigated on healthy cell lines (HDF) and cancerous cell lines (U118, CaCo-2, Skov-3). AgNPs showed up to 70% suppression in cancer cell lines.
Citation - WoS: 13
Citation - Scopus: 14
The effect of acupressure or reiki interventions on the levels of pain and fatigue of cancer patients receiving palliative care: A randomized controlled study
(ScienceDirect, 2022) Utli, Hediye; Dinç, Mahmut; Utli, Medical Doctor Adil
Objective: Taking pain under control is important to calm the individual and reduce complications. This research was conducted with the aim of determining the effect of Acupressure or Reiki interventions on the levels of pain and fatigue of stage III and IV cancer patients receiving palliative care. Method: The research was a single-blind, repeated measures, randomized controlled study. Research data were collected between February and November 2022. The research sample consisted of Acupressure and Reiki intervention groups and a control group with 52 patients in each group for a total of 156 patients. Acupressure or Reiki was applied to their intervention groups for a total of eight sessions of 20 min each over four weeks, once a day on two days a week. Data were collected by means of a patient description form, an analgesic follow-up form, the Numeric Pain Rating Scale, and the Brief Fatigue Inventory. Results: In comparison with the control group, a significant reduction was seen over time in the levels of pain (p < 0.001), analgesic use (p < 0.001), and fatigue (p < 0.001) in the Acupressure or Reiki intervention groups. Conclusion: Acupressure or Reiki interventions were found to effective in reducing levels of pain, analgesic use, and fatigue. It was seen that in addition to their use in routine nursing care, both treatments can be accepted as effective nursing interventions that reduce pain and fatigue in stage III and IV cancer patients receiving palliative care.
The Effect of COVID-19 Fear in Patients and Clinical Nurses on Night Nursing Care
(Sage Journals, 2023) Utli, Hediye; Dinç, Mahmut; Oner, Ugur
This study was conducted with the aim of determining the effect of fear of COVID-19 in patients and clinical nurses on night nursing care. This was a cross-sectional study. The research sample consisted of 604 patients and 270 clinical nurses selected by the convenience sampling method. Data were collected between August 2021 and July 2022 using a Patients’ Information form, a Nurse’s Information form, the Fear of COVID-19 scale, and the Night Nursing Care instrument. No significant difference was found between the total mean scores of the patients and the nurses on the Fear of COVID-19 scale or the Night Nursing Care instrument (rho = –0.017, p = .702; rho = –0.020, p = .741). It was found that patients’ and nurses’ fears of COVID-19 did not affect their perceptions of night nursing care.

Browse

Browsing Meslek Yüksekokulları by Scopus Q "Q2"