Patience, Acceptance of Diversity, and Compassionate Love in Nursing Care

Amaç: Bu “çalışmanın amacı; hemşirelik öğrencilerinde sabır, farklılıkları kabul ve duyarlı sevgi düzeyi arasındaki ilişkiyi incelemek ve bu kavramlara ilişkin öğrencilerin görüşlerini belirlemektir. Gereç ve Yöntem: Bu çalışma, Türkiye’de bir üniversitenin hemşirelik bölümündeki 240 öğrenci ile karma yöntem kullanılarak yapılmıştır. Çalışmada veriler; Bilgi Formu, Sabır Ölçeği, Farklılıkları Kabul Ölçeği ve Duyarlı Sevgi Ölçeği kullanılarak toplanmış olup, bu kavramlara ilişkin öğrencilerin görüşlerini belirlemek için 12 öğrenci ile bireysel görüşme yapılmıştır. Bulgular: Duyarlı Sevgi Ölçeği ...Daha fazlası

‘I’m not a Schizophrenic!’ Qualitative Research on the Life Stories of Women Diagnosed with Schizophrenia and Bipolar Disorder

MELİKE TEKİNDAL

Objective: Making the life stories of women diagnosed with schizophrenia and bipolar disorder visible with a feminist social work approach. Material and Methods: In this study, narrative research with qualitative research method was used. In-depth semi-structured interviews were conducted with 12 women who were selected according to the purposive sampling method. The data were analyzed using thematic content analysis method and the MAXQDA 20 program. Results: In the content analysis of the data, three life focus themes emerged when the life stories of women with schizophrenia and bipolar diagn ...Daha fazlası

Fabric Defect Classification Using Combination of Deep Learning and Machine Learning

Fatma Günseli YAŞAR ÇIKLAÇANDIR

Automatic systems can be used in many areas, such as the production stage in factories, country defense, and traffic control. They provide the opportunity to reach results faster with higher success rates thanks to human-computer vision cooperation. In this study, it is aimed to develop an intelligent system that automatically detects and classifies defects in fabrics. Thanks to the developed system, the cause of the malfunction is eliminated, and the recurrence of the malfunction is prevented. Using deep learning methods in fabric defect classification studies has a disadvantage compared to o ...Daha fazlası

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

LEVENT AYDIN

Kaynakça var.

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

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

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

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

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

Modeling and optimum design for wire electrical discharge machining of γ titanium aluminide alloy

ÖMER FARUK BÜYÜKYAVUZ

Wire electrical discharge machining (WEDM) of γ titanium aluminide is the subject of the current research. Due to the large number of process variables and sophisticated stochastic process mechanisms, selecting the best machining parameter combinations for increased cutting efficiency and accuracy is a difficult task in WEDM. In general, there is no perfect combination that can produce the fastest cutting speed and the finest surface finish quality at the same time. For this purpose, the data were selected from a literature study. This study describes an attempt to devise a suitable machining ...Daha fazlası

Experimental investigation of Newtonian and non-Newtonian fluid flows in rough pipes and modeling using computational fluid dynamics Newtonyen ve Newtonyen olmayan akışkanın pürüzlü borudaki akışının deneysel olarak incelenmesi ve hesaplamalı akışkanlar dinamiği kullanılarak modellenmesi

Müftüoğlu, Tevfik Denizhan

ÖZETBoru akışlarındaki basınç kayıpların tahmini, mühendislik uygulamalarında büyük önem taşımaktadır. Akışkanların verimli bir şekilde taşınımı için pompalama gereksinimlerinin belirlenmesi ve doğru pompa sistemlerinin seçimi basınç kaybının hassas bir şekilde tahminine dayalıdır. Bu çalışmada, Newtonyen ve Newtonyen olmayan akışkanların pürüzlü galvanizli borulardaki akışları üç farklı akışkanla (su ve bunun yanında farklı kontranstrasyon ve viskoz karakteristiğine sahip iki polimerik solüsyon), çeşitli debiler ve akışkan sıcaklık koşulları için, farklı çaplara sahip galvanizli borularda den ...Daha fazlası

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