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Toplam kayıt 827, listelenen: 51-60
Grounded inductance simulator realization with single VDDDA
(Springer, 2022)
In this paper, a grounded inductance simulator circuit employing single voltage differencing differential difference amplifier (VDDDA) and a grounded capacitor is proposed. The purpose of this paper is to present an ...
Basalt powder dependent properties of mortars subjected to high temperatures
(Croatian Soc Civil Engineers-Hsgi, 2019)
The effects of high temperatures of up to 800 degrees C on residual physical and mechanical properties of mortars are presented in this paper. Due to its resistance to high temperatures, basalt powder is used as a substitute ...
Erratum: Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods (Advances in Civil Engineering (2019) 2019 (3069046) DOI: 10.1155/2019/3069046)
(Hindawi Limited, 2020)
In the article titled “Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods” [1], there was an error in equation (1), which should be corrected as follows: (Formula Presented). Copyright © 2020 ...
Preparation and characterization of chitosan/AMPS/kaolinite composite hydrogels for adsorption of methylene blue
(Springer Science and Business Media Deutschland GmbH, 2021)
This study aims to evaluate a new synthesized composite hydrogel prepared by gamma radiation polymerization of chitosan (CS) and 2-acrylamido-2-methylpropane sulfonic acid (AMPS) with kaolinite. The enhancement of kaolinite ...
EFFECT OF PARAMETERS ON REMOVAL OF RB19 DYE BY LACCASE ENZYME AND KINETIC EVALUATION
(Yildiz Technical Univ, 2020)
Dye decolorization of RB19 using commercial laccase (Cerrena unicolor) enzyme was evaluated in this study. The effect of pH, laccase concentration, temperature, metal salt, carbon and nitrogen sources and solvents on the ...
Psychophysical detection and learning in freely behaving rats: a probabilistic dynamical model for operant conditioning
(Springer, 2020)
We present a stochastic learning model that combines the essential elements of Hebbian and Rescorla-Wagner theories for operant conditioning. The model was used to predict the behavioral data of rats performing a vibrotactile ...
Impact of the COVID-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study
(Elsevier Ltd, 2022)
The COVID-19 lockdowns have adversely affected the national economies and caused fluctuations in the energy industry. This study examined how the lockdowns during the COVID-19 pandemic affected the amount of electricity ...
Efficacy of a zinc lactate mouthwash and tongue scraping in the reduction of oral halitosis: A single-blind, controlled, crossover clinical trial—a pilot study
(MDPI, 2021)
Halitosis is defined as an unpleasant odor that comes out of the mouth. The aim of this study was to investigate the effect of zinc lactate mouthwash and tongue scraping on oral halitosis. The study was conducted on 60 ...
Prediction of Immunoglobulin G in Lambs with Artificial Intelligence Methods
(Veteriner Fakultesi Dergisi, 2021)
The health, mortality and morbidity rates of neonatal ruminants depend on colostrum quality and the amount of Immunoglobulin G (IgG) absorbed. Computer-aided estimates are important as measuring IgG concentration with ...
The machine learning approach for predicting the number of intensive care, intubated patients and death: The COVID-19 pandemic in Turkey
(Yildiz Technical Univ, 2022)
The coronavirus infection outbreak started in Wuhan city, China, in December 2019 (COVID-19) and affected more than 200 countries in a year. The number of patients dying from and infected with COVID-19 is increasing at an ...