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991.
Sage (Salvia fruticosa L.), anise (Pimpinella anisum L.), Hawthorn (Crataegus orientalis), rosemary (Rosmarinus officinalis L.), mountain tea (Sideritis spp), basil (Ocimum basilicum L.), lime flower (Tilia cordata), nettle (Urtica dioica L.), thyme (Thymbra spicata), coriander (Coriandrum sativum L.), rosehip (Rosa canina L.), mentha (Mentha piperita L.), balm (Melissa officinalis L.), tea (Camelia sinensis L.) (Black and green), sena leaf (Casia angustifolia), camomile (Matricaria chamomilla), tarragon (Artemisia dracunculus L.), cinnamon (Cinnamomum casia) and fennel (Foeniculum vulgare L.) were used as plant material in this study. Decoction was applied to R. canina, A. dracunculus and C. casia, and infusion was applied to other plant materials. Ten, 15 and 20 min were used as a time parameter for both infusion and decection. Inductive coupled plasma atomic emission spectrometry (ICP-AEs) has been used for the determination of the elements in all infusions, decoctions and plant material. 相似文献
992.
993.
The applicability of artificial neural networks (ANNs) and the adaptive neuro-fuzzy inference system (ANFIS) for determination of mean velocity and discharge of natural streams is investigated. The 2,184 field data obtained from four different sites on the Sarimsakli and Sosun streams in central Turkey were used in the study. ANNs and ANFIS models use the inputs, water surface velocity and water surface slope, to estimate the mean velocity and discharges of natural streams. The accuracies of both models were compared with the multiple-linear regression (MLR) model. The comparison results showed that the ANFIS model performed better than the ANNs and regression models for estimating mean velocity and discharge. The ANN model also showed better accuracy than the MLR model. The root mean square errors (RMSE) and mean absolute relative errors (MARE) of the MLR model were reduced by 88 and 91 % using the ANFIS model in estimating discharges, respectively. It is found that the optimal ANFIS model with RMSE of 0,063, MARE of 3,47 and determination coefficient (R2) of 0,996 in the test period is superior in estimation of discharge than the MLR model with RMSE of 0,532, MARE of 38,9 and R2 of 0,776, respectively. The study reveals that the ANFIS technique can be successfully used for estimating the mean velocity and discharge of natural streams by using only the inputs of water surface velocity and water surface slope. 相似文献
994.
The main objective of this work is to evaluate a heat pump system using the ground as a source of heat. A ground-coupled heat pump (GCHP) system has been installed and tested at the test room, University of Firat, Elazig, Turkey. Results obtained during experimental testing are presented and discussed here. The coefficient of performance (COPsys) of the GCHP system is determined from the measured data. A numerical model of heat transfer in the ground was developed for determining the temperature distribution in the vicinity of the pipe. The finite difference approximation is used for numerical analysis. It is observed that the numerical results agree with the experimental results. 相似文献
995.
In this study, the effects of lemon juice, the mixture of lemon juice–vinegar (1:1) and lemon dressing against Yersinia enterocolitica on carrot were investigated. Carrots inoculated with Y. enterocolitica cells (approximately 106 cfu/ml) were treated with 100%, 75% and 50% lemon juice, a mixture of lemon juice–vinegar, and lemon dressing for 0, 15, 30 and 60 min. Enumeration of Y. enterocolitica populations on CIN agar beside TSA agar by using two methods as then performed. One hundred percent lemon juice was the most effective agent used, completely inhibiting viable cells of Y. enterocolitica on carrot after 15 min exposure. Although no growth was observed on carrots treated with 100% lemon juice for 15 min, there was no statistical difference between the antibacterial effects of 100% lemon juice, 75% lemon juice, the mixture of lemon juice–vinegar and lemon dressing whilst the effect of 50% lemon juice was statistically different from those solutions (P < 0.05) and its definite inhibitive activity was seen after 60 min treatment. 相似文献
996.
Motion Capture datasets are captured as high-frequency discrete samples using photogrammetric computer vision or various industrial geodetic measurement methods over the relevant model. Because Motion Capture data are inherently large-datasets, expressing Motion Capture data without employing a motion data abstraction approach such as keypose is challenging. Keypose synthesis is a serious problem in many applications. Unfortunately, the local statistical features of Motion Capture data over time periods vary often, making it difficult to determine a key point summing the motion activation involved. Conventional clustering methods, such as Fuzzy C-Means (FCM), that are sensitive to initial conditions, can be fitted to a local solution rather than producing a highly reliable keypose. Data clustering can be performed using evolutionary search methods without being limited to relatively local solutions. In this paper, the Motion Capture data were clustered using evolutionary search algorithms, and related keyposes were synthesized using the “minimum-distance to cluster-centers” principle. In Experiments section of this paper, motion data containing sportive movements were clustered by using evolutionary algorithms (i.e., Particle Swarm Optimization, Artificial Bee Colony, and Differential Search Algorithm) and classical clustering algorithms (i.e., Self-Organizing Neural Network, FCM) to obtain related keyposes. The computed statistics exposed that evolutionary methods were more successful in obtaining keypose than classical methods. 相似文献
997.
Elrasheed Ismail Mohommoud Zayid Mehmet Fatih Akay 《Neural computing & applications》2013,23(7-8):2481-2491
In this paper, we develop multi-layer feed-forward artificial neural network (MFANN) models for predicting the performance measures of a message-passing multiprocessor architecture interconnected by the simultaneous optical multiprocessor exchange bus (SOME-Bus), which is a fiber-optic interconnection network. OPNET Modeler is used to simulate the SOME-Bus multiprocessor architecture and to create the training and testing datasets. The performance of the MFANN prediction models is evaluated using standard error of estimate (SEE) and multiple correlation coefficient (R). Also, the results of the MFANN models are compared with the ones obtained by generalized regression neural network (GRNN), support vector regression (SVR), and multiple linear regression (MLR). It is shown that MFANN models perform better (i.e., lower SEE and higher R) than GRNN-based, SVR-based, and MLR-based models for predicting the performance measures of a message-passing multiprocessor architecture. 相似文献
998.
Seda Bekin Acar Kevser Ozdemir Mustapha Raihane Mohammed Lahcini Mehmet Atilla Tasdelen 《Polymer Composites》2023,44(1):148-155
In the current study, naturally occurring halloysite nanotube (HNT) is first modified by vinyltriethoxysilane to obtain vinyl-functionalized HNT (HNT-Vinyl). Subsequently, the HNT-Vinyl is added as nanofiller by varying weight from 0 to 8% in the presence of multifunctional methacrylates (bisphenol A-dimethacrylate and triethylene glycol dimethacrylate). Free radical photocrosslinking polymerization of these materials provides the in-situ formation of HNT/thermoset nanocomposites. Comparison of characteristic bands of the nanocomposite components by Fourier transform infrared spectroscopy confirms the presence and covalent bonding of HNT nanofiller in the thermoset matrix. Thermal properties of obtained HNT/thermoset nanocomposites have been compared with neat thermoset as a reference sample using thermogravimetric analysis. Moreover, the existence and dispersion of nanofillers in the nanocomposites have been proved by scanning electron microscopy and transmission electron microscopy. The HNT nanofiller has been detected as agglomerated/non-agglomerated morphology in the thermoset matrix. On the other hand, the addition of HNT-Vinyl to the thermoset matrix has improved the mechanical properties of nanocomposites. Especially, a dramatic increase on tensile strength values has been determined with 4% HNT-Vinyl loading. Tensile strength and elastic modulus values of the corresponding nanocomposite are 4.9 and 1.5 times higher than those of the neat thermoset. 相似文献
999.
Erman Erdogan Cigdem Eden Nurtac Canpolat Cagri Cirak Mehmet Yilmaz 《International Journal of Applied Ceramic Technology》2024,21(3):2010-2023
In this study, as-prepared and Ag-decorated ZnO/Zn(OH)2 composite nanoparticles (NPs) were obtained using the sol–gel technique. First, the effect of aging on the structural, optical, and morphological features was examined. Ag NPs can interact with the electronic structure of ZnO/Zn(OH)2 NPs, resulting in changes in their energy levels. It was found that the composite NPs obtained after 6 h solution aging increased in full width at half maximum and good crystallinity of the structures from the X-ray diffraction (XRD) measurements. The Raman spectrum supports the experimental data obtained from XRD and Fourier transform infrared, a material containing a mixture of ZnO and Zn(OH)2. From the morphological study, Ag NPs were successfully decorated on the ZnO/Zn(OH)2 surface, and composite NPs did not change the morphological appearance of the structure. Second, the photocatalytic performance of the samples was investigated. In the experimental setting, ultra-violet A light was employed as the irradiation source, whereas rhodamine B (RhB) was used as the dyestuff. The photo-degradation of the RhB dyestuff on composite NPs was observed to be 98.5% and 92.5% for 6 and 2 h aged samples, respectively. On Ag NPs, the catalytic performance of the sample was increased up to 95% after 180 min. 相似文献
1000.
Gang Ge Kalpana Mandal Reihaneh Haghniaz Mengchen Li Xiao Xiao Larry Carlson Vadim Jucaud Mehmet Remzi Dokmeci Ghim Wei Ho Ali Khademhosseini 《Advanced functional materials》2023,33(9):2207388
Adhesive materials have recently drawn intensive attention due to their excellent sealing ability, stimulating advances in materials science and industrial usage. However, reported adhesives usually exhibit weak adhesion strength, require high pressure for strong bonding, and display severe adhesion deterioration in various harsh environments. In this study, instead of water or organic solvents, a deep eutectic solvent (DES) is used as the medium for the photopolymerization of zwitterionic and polarized monomers, thus generating a novel ionogel with tunable mechanical properties. Multiple hydrogen bonds and electrostatic interactions between DES and monomers facilitated ultrafast gelation and instant bonding without any external pressure, which has rarely been reported previously. Furthermore, high adhesion in different harsh environments (e.g., water, acidic and basic buffers, and saline solutions) and onto hydrophilic (e.g., glass and tissues) and hydrophobic (e.g., polymethyl methacrylate, polystyrene, and polypropylene) adherends is demonstrated. Also, the high stretchability of the ionogel at extreme temperatures (−80 and 80 °C) indicates its widespread applications. Furthermore, the biocompatible ionogel shows high burst pressure onto stomach and intestine tissues to prevent liquid leakage, highlighting its potential as an adhesive patch. This ionogel provides unprecedented opportunities in the packaging industry, marine engineering, medical adhesives, and electronic assembly. 相似文献