The Effect of Self-Efficacy of Children and Adolescents with Asthma on Their Quality of Life

Objective: This study was conducted to determine the effect of self-efficacy of children and adolescents with asthma on their quality of life. Material and Method: This descriptive study was conducted with 137 children and adolescents between the ages of 10-18 who were followed up by the respiratory allergies clinic of a university hospital by using the Asthmatic Child and Adolescent Information Form, Asthmatic Child and Adolescent Self-Efficacy Scale and Pediatric Asthma Quality of Life Questionnaire. Results: The study showed that 34.3% of the factors triggering asthma attacks in chi ...Daha fazlası

Turkish Character Usage in Text Classification

Ali Aycan KOLUKISA

Abstract This study is prepared to examine the effects of Turkish character usage on text data by using multiple classifiers. Regression Classifiers, SVM, NB-Classifiers, and ANN are frequently used in supervised learning methods, especially in classification problems. Regression classifiers generally come in two types: as Linear and Logistic. There are also more than one type of Naive Bayes classifier. In our study, after mentioning the properties of Linear Regression and Logistic Regression classifiers in general terms, why Logistic Regression is much more suitable for this study is explaine ...Daha fazlası

The Position of Nurses in the Healthcare Team in 2020

2020 is the International Year of the Nurse and Midwife and the 200th anniversary of Florence Nightingale’s birth; a year meant for celebration, and a deeper look at the importance of the nursing role in the future of healthcare. Today, due to the COVID-19 pandemic, the role of the nurse and the urgent need for investment of this precious resource is at the forefront of many health policy makers’ agendas. As we entered 2020, many countries were already facing a nursing shortage. The World Health Organization’s first State of the World’s Nursing report, launched in April this year, reported a g ...Daha fazlası

Modeling and Design Optimization to Determine the Mechanical Properties of a Recent Composite

Naciye Burcu KARTAL

This study proposes an appropriate optimization model for determining a new composite material's mechanical properties by neuro-regression analysis. This new composite material is obtained by combining hemp and polypropylene fibers. It was developed for the sector of upholstered furniture. First, different multiple regression models have been tried for input and output values. The R2 training, R2 testing, R2 validation, and minimum, maximum values were determined for each model. Then, the stochastic optimization approach is used to predict and optimize the mechanical properties of the new bioc ...Daha fazlası

Effect of e-Health Literacy on the Fear of COVID-19 and Attitudes Towards Protection: A Cross-Sectional Study

Objective: The aim of this study was to evaluate the predictive effect of the e-Health literacy level of individuals on attitudes towards protection from COVID-19 and the level of fear during the COVID-19 pandemic. Material and Method: The population of this cross-sectional study included individuals who could be reached through social media channels (Facebook, Instagram, WhatsApp) and e-mail between July and October 2020, and the sample of the study consisted of 522 literate individuals who had internet access and agreed to participate in the study. Data were collected using the personal ...Daha fazlası

Heavy Metal Accummulation in Muscles and Total Bodies of Mullus barbatus, Trachurus trachurus and Engraulis encrasicolus Captured from the Coast of Sinop, Black Sea

SANİYE TÜRK ÇULHA | MEHMET ÇULHA

The levels of heavy metals viz., Cd, Cu, Fe, Ni, Pb, Zn and Al were determined by ICP-AES in the muscles and total bodies of Mullus barbatus (Linnaeus 1758), Trachurus trachurus (Linnaeus 1758), Engraulis encrasicolus (Linnaeus 1758) captured from the coast of Sinop. The order of the levels of the heavy metals in the total fish samples was Fe > Zn > Al > Pb > Cu > Ni > Cd, whereas in the muscles, the order was Zn > Fe > Cu > Al > Pb > Ni > Cd. The experiment results are discussed by comparison with literature values.

A Novel, Nelder-Mead Optimization Approach, based on Neuro-regression modeling for the Energy Efficiency Parameters of End Milling Process

ŞEYDA İŞBİLİR

Global crises are increasing day by day due to the rapid depletion of energy supplies around the planet. One of the goals of engineering is to prevent this situation by developing innovative solutions to this rapid energy consumption that has disappeared in the world. A solution could be to reduce the energy consumption of the machines that are used during production. In this study, a new design technique based on the neuro-regression approach and non-linear regression modeling was offered as an alternative to Taguchi design to reduce energy consumption. Thus, a cutting parameter optimization ...Daha fazlası

Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis

LEVENT AYDIN

Kaynakça var.

Health Belief Levels of Adult Individuals on Prevention of Colorectal Cancer and Their Status of Participating in Screening Program

Objective: This study was conducted to determine the health belief levels of the individuals aged 40-70 years for prevention of colorectal cancer and the rates and status of their participating in colorectal cancer screening programs. Material and Method: This descriptive study was conducted with 237 individuals who admitted to the surgery and internal outpatient clinics of a university hospital. Data were collected with a questionnaire including descriptive characteristics and colorectal cancer knowledge and behaviors of the participants and The Health Belief Model Scale for Protection fr ...Daha fazlası

A Flower Status Tracker and Self Irrigation System (FloTIS)

Rumeysa KESKİN | Furkan GÜNEY | M. Erdal ÖZBEK

The Internet of Things (IoT) provides solutions to many daily life problems. Smartphones with user-friendly applications make use of artificial intelligence solutions offered by deep learning techniques. In this work, we provide a sustainable solution to automatically monitor and control the irrigation process for detected flowers by combining deep learning and IoT techniques. The proposed flower status tracker and self-irrigation system (FloTIS) is implemented using a cloud-based server and an Android-based application to control the status of the flower which is being monitored by the local ...Daha fazlası

Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models

İsmail AKDAĞ

Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-squ ...Daha fazlası

A Face Authentication System Using Landmark Detection

Velican ERCAN | M. Erdal ÖZBEK

Biometric data is the key for many security applications. Authentication relies on the individual’s measurable biometric properties collected as features. In this study, a face authentication system is built to be used in opening the entrance door accessing to the apartments and housing estates. The proposed system consists of three stages. In the first stage, landmarks on the face are captured using a deep neural network. Then six selected features from the landmarks are extracted and traditional machine learning algorithms are used to authenticate users. In the last stage, a user interface i ...Daha fazlası