New palladium(II) and platinum(II) 5,5-diethylbarbiturate complexes with 2-phenylpyridine, 2,2’-bipyridine and 2,2’-dipyridylamine : synthesis, structures, DNA binding, molecular docking, cellular uptake, antioxidant activity and cytotoxicity

Peer reviewedPostprin

Evapotranspiration Prediction Using M5T Data Mining Method

Evapotranspiration (ET) estimation takes an important role in hydraulic designs and irrigation management. Even these imperative importance ET estimation methods are not clear and easily employable enough. This study focused on M5T data mining method to estimate ET due this method is in use for nonlinear physical cases. 1543 daily Solar Radiation (SR), Air Temperature (AT), Relative Humidity (RH) and Wind Speed (U) meteorological parameters are used to create a M5T model. 1153 daily data is used for training the model and 385 left data is used for testing model results. Data set is taken from St. Johns, Florida, USA weather station.The correlation coefficient (R) is calculated as 0.983 for the M5T. Model results are compared with Turc empirical formula and it is found that M5T data mining method has better performance than Turc empirical formula

Estimation of Keban Dam Reservoir Level in Turkey Using Artificial Neural Network and Support Vector Machines.

The correct estimation of the water level in a reservoir is crucial to optimizing the management of water resources. In this study, Artificial Neural Network (ANN) and Support Vector Machines (SVM) methods were used to estimate the level change of the dam reservoir. Keban Dam located in the Eastern Anatolia region of Turkey was selected as the application area and 731 daily observed data was used

The relationship between factors associated with peer bullying and self-acceptance in nursing students

Bu çalışma, hemşirelik öğrencilerinde akran zorbalığı ile ilişkili faktörler ve kendini kabul arasındaki ilişkinin incelenmesi amacıyla gerçekleştirilmiştir. Tanımlayıcı nitelikteki araştırmanın örneklemini, iki üniversitenin hemşirelik bölümlerinde öğrenimlerine devam eden 405 öğrenci oluşturmuştur. Araştırma verileri, Tanıtıcı Özellikler Formu, Üniversite Öğrencilerinde Akran Zorbalığını Belirleme Ölçeği ve Koşulsuz Kendini Kabul Ölçeği kullanılarak Nisan-Haziran 2020 tarihleri arasında toplanmıştır. Verilerin analizinde tanımlayıcı istatistikler, Bağımsız Örneklem t testi, Tek Yönlü Varyans Analizi, Tukey testi ve Pearson Korelasyon katsayısı kullanılmıştır. Koşulsuz Kendini Kabul alt boyutu puan ortalaması ile Akran Zorbalığı Ölçeği toplam puanı, İdeolojik Zorbalık, Dışlanma ve Cinsel Zorbalık alt boyutu puan ortalamaları arasında negatif yönde anlamlı bir ilişki bulunmuştur. Siber Zorbalık alt boyutu ile Koşulsuz Kendini Kabul Ölçeği toplam puanı arasında negatif yönde ilişki bulunurken, Koşullu Kendini Kabul alt boyutu ile pozitif yönde anlamlı bir ilişki bulunmuştur. Sonuç olarak, beliren yetişkinlik döneminde olan üniversite öğrencileri için akranlarla kurulan ilişkiler büyük önem taşımaktadır. Akranlar tarafından zorbalığa maruz kalmak üniversite öğrencilerinin fiziksel, ruhsal, sosyal, akademik ve mesleki gelişiminde önemli sorunlara yol açabilmektedir.This study was conducted to examine the relationship between peer bullying-related factors and self-acceptance in nursing students. The sample of this descriptive study consisted of 405 students studying their education in the nursing departments of two universities. The data were collected between April-June 2020 using the Introductory Characteristics Form, the Peer Bullying Scale for University Students, and the Unconditional Self-Acceptance Scale. Descriptive statistics, Independent Sample t-test, One-Way Analysis of Variance, Tukey test, and Pearson Correlation coefficient were used in the analysis of the data. A negative significant correlation was found between the mean score of the Unconditional Self-Acceptance sub-dimension and the total score of the Peer Bullying Scale for University Students, and the mean scores of the Ideological Bullying, Isolation, and Sexual Bullying sub-dimensions. While there was a negative correlation between Cyber Bullying sub-dimension and the total score of the Unconditional Self-Acceptance Scale, a positive and significant relationship was found with the Conditional Self-Acceptance sub-dimension. As a result, relationships established with peers have great importance for university students who are in the emerging adulthood period. Being exposed to bullying by peers can lead to significant problems in the physical, mental, social, academic, and professional development of university students

Parameter Retrieval of Samples on a Substrate From Reflection-Only Waveguide Measurements

A microwave method has been proposed for constitutive parameters' extraction of samples on a known substrate. The advantage of this method is that it relies on noniterative reflection-only (air- and metal-backed) scattering (S-) parameters so that it is a good candidate for the characterization of samples when only one-port measurements are available. It is validated by the X-band (8.2-12.4 GHz) waveguide S-parameter measurements. A sensitivity analysis is followed to evaluate and improve the performance of our method. IEE

Broadband, Stable, and Non-Iterative Dielectric Constant Measurement of Low-Loss Dielectric Slabs Using a Frequency-Domain Free-Space Method

A broadband, stable, and non-iterative free-space method is proposed for dielectric constant ε′r determination of low-loss dielectric slabs from reflection-only measurements through simple calibration standards (reflect and air). It is applicable for dispersive samples and does not require thickness information. Simulations of non-disperive and dispersive samples are performed to validate our method. Dielectric constant measurements of polyethylene and Polyoxymethylene samples (9–11 GHz) are carried out to examine the accuracy of our method. IEE

Flood Modeling Based on The Precipitation Data by Using Hec-Ras Software Version (5.0.7).

Floods are one of the most destroyable disasters that affect human life directly. It is important to model floods for the determination of the vulnerable areas, and planning of the dangerous zones. For this purpose, HEC-RAS software is in use to create complex flood models. In general, for the modeling of a flood by using any software, an accurate topography of the area, boundary conditions, Manning coefficients, and the flow data are essential. However, it is not always possible to have the flow rate of all streams located in the study area. Because of the mentioned reason, in this study authors preferred to directly use precipitation data for modeling the flood. A model was created by using SRTM satellite data for the digital elevation model. A two-dimensional geometry was created, and the precipitation data was added to the model. The main output of the performed model showed that using precipitation data directly on a flood model is not fully representative of the extent of flooding. According to the model result, the flood is spread over a wider area than it actually was

Evaluation of In Vivo Biological Activity Profiles of Isoindole-1,3-dione Derivatives: Cytotoxicity, Toxicology, and Histopathology Studies

The anticancer activity of N-benzylisoindole-1,3-dione derivatives was evaluated against adenocarcinoma (A549-Luc). First, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide activity assay studies of two isoindole-1,3-dione derivatives were performed against A549 cell lines. Both compounds showed inhibitory effects on the viability of A549 cells. Then, we explored the potential of these compounds as active ingredients by in vivo studies. Nude mice were given A549-luc lung cancer cells, and tumor growth was induced with a xenograft model. Then, nude mice were divided into three groups: the control group, compound 3 group, and compound 4 group. After application of each compound to the mice, tumor sizes, their survival, and weight were determined for 60 days. Furthermore, toxicological studies were performed to examine the effects of the drugs in mice. In addition to toxicological studies, histopathological analyses of organs taken from mice were performed, and the results were evaluated. The obtained results showed that both N-benzylisoindole derivatives are potential anticancer agents

Forecasting of Suspended Sediment in Rivers Using Artificial Neural Networks Approach

Suspended sediment estimation is important to the water resources management and water quality problem. In this article, artificial neural networks (ANN), M5tree (M5T) approaches and statistical approaches such as Multiple Linear Regression (MLR), Sediment Rating Curves (SRC) are used for estimation daily suspended sediment concentration from daily temperature of water and streamflow in river. These daily datas were measured at Iowa station in US. These prediction aproaches are compared to each other according to three statistical criteria, namely, mean square errors (MSE), mean absolute relative error (MAE) and correlation coefficient (R). When the results are compared ANN approach have better forecasts suspended sediment than the other estimation methods