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The effect of thymus syriacus plant extract on the main physical and antibacterial activities of ZnO nanoparticles synthesized by SILAR method
This study aimed to determine the main physical properties of green synthesized ZnO nanoparticles (ZnO-NPs) using Thymus syriacus plant extract and their antibacterial activities against eight different Gram-positive and Gram-negative plant bacterial disease agents. The surface morphological, structural, optical and electrical attributes of the ZnO films were analyzed by various types of characterization techniques.The authors have observed that the microstructural and surface morphological properties considerably changed by using T. syriacus plant extract. UV–Vis. analysis showed that the bandgap values are increased from 3.17 to 3.28 eV with the T. syriacus content in the growth solution. Impedance measurements presented an increase of the semicircle diameters with the increase % of T. syriacus. The antibacterial effectiveness of ZnO-NPs was evaluated against plant pathogenic bacterial species by using the agar disc diffusion method. Established on inhibition zone diameter values, ZnO-NPs displayed varying levels of antibacterial activities against all bacterial species tested. Gram-positive bacterial species were found more sensitive than Gram-negative species. In comparison, the highest antibacterial activity was displayed against Clavibacter michiganensis subsp. michiganensis and Bacillus subtilis subsp. subtilis, the lowest antibacterial activity was recorded for Pseudomonas corrugata. The present research findings suggest that the green synthesized ZnO-NPs have a prospective to be used as optoelectronic materials and antibacterial agents against plant pathogenic bacterial disease
Validity and Reliability of Turkish Version of Skills Confidence Inventory
The Vocational Interest Inventory is one of the most commonly used instruments in career counselling in the past and present. The aim of this study is to adapt the Skills Confidence Inventory (SCI) and obtain validity and reliability evidence for its Turkish version. The SCI Turkish version is called BGMIE (Becerilere Güven Mesleki Ilgi Envanteri) and is a list of vocational interests consisting of 164 items measuring 17 different areas of vocational interests. In the study, data were collected from 32 university students for the linguistic equivalence test, from 765 high school students for the pretest, and from 1449 high school students for the final test. The validity of the BGMIE was examined using the bilingual group, linguistic equivalence, and CFA (Confirmatory Factor Analysis) scores. The results of the CFA analyses indicate a perfect fit for nine factors (Creative Production, Cultural Sensitivity, Data Management, Helping, Leadership, Office Services, Public Speaking, Science, Teamwork), a good fit for seven factors (Mechanics, Organisational Management, Project Management, Sales, Teaching, Use of Technology, Writing), and an acceptable fit for one factor (Mathematics)
Analysis of choroidal vascularity index in multiple sclerosis patients without optic neuritis attack
Background: To evaluate the choroidal structural changes in multiple sclerosis (MS) patients without previous optic neuritis (ON) attacks. Methods: Forty eyes of 20 MS patients without a history of ON and 40 eyes of 20 age-matched healthy volunteers were included in this study. The choroidal thickness (CT) was measured at three points; subfoveal, 1500 µm nasal to the fovea, and 1500 µm temporal to the fovea. Choroidal area (CA), luminal area (LA), and choroidal vascularity index (CVI) were calculated using ImageJ. Results: The mean subfoveal, nasal and temporal CT were decreased in MS patients compared to controls (for all, p < 0.001). The mean LA was 0.572 ± 0.113 mm2 in MS group, and 0.729 ± 0.188 mm2 in controls (p = 0.002). The mean CVI was decreased in the MS group (69.38% ± 4.87) in comparison to the controls (73.41% ± 5.18) (p = 0.034). Conclusion: The current study demonstrated significant anatomical alterations of the choroid in the eyes of patients with MS. © 202
Effect of the slope angle and its classification on landslides
The preparation of landslide susceptibility maps is a complex process with regards to selection of study field, parameters, and methods. The phase after the determination of the landslide distribution in landslide susceptibility studies is selection of methods and parameters to be used. A review of approximately 1500 randomly selected publications revealed that it was necessary to select a parameter based on the area, in each study, the most preferred parameter was the slope angle. Generally, it was observed that automatic slope angle classifications were used in the preparation of landslide maps. Therefore, there is no standard in slope angle maps nor in the class range that is referenced when preparing them. In this study, class ranges and slope angle values of areas where landslides have occurred were determined from the 15 literature, and of these, 40 landslides areas were selected in Turkey and their slope angle maps were created. These were evaluated based on the slope angle classes determined in the published literature. The effects of slope angle on the landslide were determined, and an understanding was gained of how important it was to be careful when determining the classification of slope angle. When smaller class ranges were selected, different results were obtained suggesting that the selection of the range of classes are vital in the preparation of landslide susceptibility maps
Retesting the EKC hypothesis through transmission of the ARMEY curve model: an alternative composite model approach with theory and policy implications for NAFTA countries
We investigate the validity of the environmental Kuznets curve (EKC) hypothesis for the NAFTA countries. In this investigation, we approach this hypothesis from a different methodology and propose employing the ARMEY curve hypothesis since the mathematical-functional propositions of both hypotheses were constructed on the same inverted U-shaped relationships. Thus, for the first time, it can be interpreted that the EKC hypothesis is empirically tested through a transmission mechanism of the ARMEY curve hypothesis in a single composite model. Therefore, this approach makes our study different from all empirical studies in the relevant literature. We apply the Augmented Mean Group (AMG) estimator to this aim. Empirical findings indicate that the ARMEY curve hypothesis was verified only for the USA. However, this new approach proposed in this study cannot test the EKC hypothesis through the ARMEY curve model for any NAFTA country since this approach requires verification of the ARMEY curve hypothesis and a significant composite model for the same NAFTA country. If our composite model was significant, it might make it possible to numerically determine a maximum real GDP per capita level that would minimize or maximize CO2 emission levels for the USA. Therefore, this study introduces-proposes this new methodology as an alternative way of testing the EKC hypothesis in the relevant literature for future empirical studies
Some Special Legendre Mates of Spherical Legendre Curves
In this study, we consider some special mates of spherical Legendre curves by using Legendre frame along spherical front or frontal on Euclidean unit sphere. In this sense, we define orthogonal-type and parallel-type spherical Legendre mates. After, we get some characterizations between Legendre curvatures of orthogonal-type Legendre mates. In particularly, when spherical front is a regular curve, we give relationships between Legendre and Frenet frame or Legendre and Sabban frame. Moreover, we obtain that the evolute and the involute of spherical front correspond to a second and third orthogonal-type Legendre mate of spherical front, respectively. After, we give examples for first, second or third orthogonal-type spherical Legendre mates of some special spherical fronts or frontals. Finally, we show that there is no parallel-type Legendre mates of spherical frontal
Determination of the morphometric characteristics of donkey (Equus asinus) populations reared in Turkey
This research aims to determine the morphometric characteristics of the donkey (Equus asinus) populations reared in Turkey. For this purpose, live weights and body measurements were collected from 500 donkeys. The donkeys were grouped according to the factors of color, age, sex, and province and the live weights (LW) (kg), withers heights (WH), rump heights (RH), body lengths (BL), chest circumferences (CC), chest depths (CD), front shank circumferences (FSC), head lengths (HL) and ear lengths (EL) (cm) of the donkeys were measured. In the study, the males were found to have higher values of live weight, withers height, rump height, and chest depth than the females (p < 0.05). Significant differences in the live weights of the donkeys were seen by province, age, color, and sex (p < 0.01 and p < 0.05). Significant differences were found among the age groups as well (p < 0.01). Accordingly, the least squares means of the animals aged 1???3 years, 4???5 years, 6???8 years, and 9 years and over for live weight were measured as 112.10 ?? 3.11 kg, 141.54 ?? 2.76 kg, 153.98 ?? 2.42 kg, and 152.95 ?? 2.34 kg, respectively. The least squares mean of live weights were also determined as significant between the female and male animals (138.08 ?? 1.96 kg) and (142.21 ?? 2.25 kg), respectively (p 0.05). The highest correlation coefficient was calculated between live weight and body length among the donkeys (r = 0.83). Furthermore, the classical method (CM) and the fixed object photo (FOP) method were compared for photographed animals in the study. No difference in WH, RH, CD or HL was seen between the two methods (p 0.05). In conclusion, the morphometric characteristics of the donkeys were determined and it was shown that the populations were not distinguished clearly from each other and that this was fundamentally due to the transitions among the donkey populations for long years
An integrated model for examining teachers' intentions to use augmented reality in science courses
Many studies show that augmented reality (AR) provides multiple benefits to science education, including learning gains, motivation to learn, and collaborative learning. However, while using AR largely depends on the teachers' willingness, existing literature lacks studies that identify teachers' intentions to use this technology. This study proposes a model to predict science teachers' intentions to use AR in their classes. Our model merges the Theory of Planned Behavior and the Unified Theory of Acceptance and Use of Technology 2. It includes nine hypotheses that were tested with 451 science teachers from different cities in Turkey. The results indicate that our model identifies the factors affecting teachers' intentions to use AR with a stronger explanatory power than the referenced theories. Besides, all hypotheses within the proposed model were statistically supported in determining antecedents of science teachers' intentions. Finally, the study contributes to the theory and practice by focusing on the psychological aspects required for explaining science teachers' intentions to use AR
ANN-based estimation of MEMS diaphragm response: An application for three leaf clover diaphragm based Fabry-Perot interferometer
In this study, an artificial neural network (ANN) based model is developed for MEMS diaphragm analysis, which does not require difficult and time-consuming FEM processes. ANN-based estimator is generated for static pressure response (d) and dynamic pressure response (f) analysis of TLC (three leaf clover) diaphragms for Fabry-Perot interferometers as an example. TLC is one of the unsealed MEMS design diaphragms formed by three leaves of equal angles. The diaphragms used to train ANNs are designed with SOLIDWORKS and analyzed with ANSYS. A total of 1680 TLC diaphragms are simulated with eight diaphragm parameters (3 for SiO2 material, 4 for geometry, and 1 for pressure) to create a data pool for ANN's training, validation, and testing processes. 80% of the data is used for training, 15% for validation, and the remaining for testing. Only four geometric parameters are used as input in the ANN estimator, and the material parameters are added to the model with an analytical multiplier. Thus, network models that estimate d and f values for all kinds of diaphragm materials are proposed, with a material-independently trained ANN structure. The performance of the ANN model is compared with the empirical equation suggested in the literature, and its superiority is demonstrated. In addition, the d and f parameters of TLC diaphragms designed with five different materials (Si, In2Se3, Ag, EPDM, Graphene) are estimated to be very close to the real ones. By using the proposed method, analyses of TLC diaphragms are quickly performed without the need for time-consuming and costly design and analysis programs. © 2022 Elsevier Lt
New Antimicrobial Polymeric Microspheres Containing Azomethine
Herein, new polymeric microspheres containing azomethine (PS-OPA, PS-OPA-Pt, PS-OPA-Ni, PS-OPA-Mn and PS- OPA-Cu) were synthesized and investigated by elemental analysis, FT-IR, SEM-EDX, TGA-DTA, UV-Vis, GPC and magnetic susceptibility. Antibacterial and antifungal activities of the synthesized polymeric microspheres were evaluated against pathogenic bacteria (Staphylococcus epidermidis ATCC12228, Bacillus cereus RSKK863, Staphylococcus aureus ATCC25923, Enterobacter aerogenes, Pseudomonas aeroginosa sp., Klebsiella pneumonia ATCC27853, Salmonella type H NCTC9018394, Proteus vulgaris RSKK96026, Escherichia coli ATCC1280) and yeast (Candida albicans Y-1200-NIH) by the well-diffusion method for potential biomedical applications. It was determined that polymeric microspheres exhibited higher inhibition effect against B. cereus, E. aerogenes, P. aeruginosa, P. vulgaris and showed higher antifungal activity than standard nystatin.
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