Özet:Küresel çevre sorunları, biyo-temelli malzemelere olan ilginin artmasına neden olmuştur. Yenilenebilir hammaddelere odaklanmak, biyolojik olarak parçalanabilir veya makul bir maliyette geri dönüştürülebilir malzemelerle uğraşmayı sağlayabilir.Çevre dostu malzemelere olan talebin artması ve geleneksel liflerin maliyetini azaltma isteği sonucunda, birçok doğal lif kompoziti geliştirilmiştir.Keten, kenevir, muz,pamuk, hindistan cevizi, sisal ve jüt gibi doğal lifler bilim ve teknoloji ile uğraşan kişilerin tüketim malları, düşük maliyetli konutlar ve diğer sivil yapılardaki uygulamalar için ...Daha fazlası
Objective: In this study investigates the effect of the type and volume of solution used in inflation of the foley catheter balloon on the development of urine leakage around the catheter during indwelling urethral catheterization. Material and Method: This randomized controlled experimental study was conducted with 128 patients hospitalized in the intensive care unit and carried out between 2015 and 2019. In each study group, different types and volumes of the solution including 10 mL 0.9% sodium chloride, 15 mL 0.9% sodium chloride, 10 mL sterile distilled water, and 15 mL sterile distilled ...Daha fazlası
The scarcity of suitable land for construction of engineering facilities and shortage of natural earth aggregates has highlighted the need for finding innovative way of construction. Nowadays problematic soils such as: soft clay, organic soils and liquefiable soils can be improved to the required civil engineering requirements by application of soil stabilization. Soil stabilization is a method intended to increase or preserve the stability of soil mass and chemical alteration of soil to improve engineering properties.
Generally, ground treatment techniques used are: densification, reinforcem ...Daha fazlası
Amaç: Tanımlayıcı tipte planlanan bu çalışmanın amacı; ağrı yönetimi konusunda hemşirelerin davranışları ve bilgi düzeylerini etkileyen faktörlerin belirlenmesidir. Gereç ve Yöntem: Çalışmanın popülasyonu bir devlet hastanesinin dahili, cerrahi servisleri ve yoğun bakımlarında çalışan hemşirelerdir. Çalışmaya toplam 79 hemşire dahil edilmiştir. Veriler güncel literatürde bulunan “Hemşire Tanımlayıcı Bilgi Formu”, “Hemşirelerin Ağrı Üzerine Bilgi ve Tutum Anketi”, “Ağrıya Karşı Müdahale Uygulama Formu” formlarından elde edilen standart bir anket ile toplanmıştır. Bulgular: Araştırmaya katılan h ...Daha fazlası
Objective: This study was aimed to determine the compliance of nurses caring for patients with COVID-19 with isolation measures and the relationship between nurses' fear and anxiety of COVID-19 and their compliance with isolation measures. Material and Method: This cross-sectional study using direct observation was carried out between February and May 2021. The study sample consists of 57 nurses. Data were collected with The Compliance with Isolation Precautions Scale, The Coronavirus Fear Scale, The Coronavirus Anxiety Scale, and Observation Form for Compliance with Isolation Precautions. Dat ...Daha fazlası
ABSTRACTNanofluids are produced by the addition of nano-sized particles to the base fluid in order to increase the thermal conductivity of heat transfer fluids. Preparation of stable nanofluids with high thermal conductivity is a very complex process and their usage in heat transfer applications are related to many important parameters from the stability of nanofluids to their viscosity. Optimization of these parameters is essential for the practical use of nanofluids. The objectives of this study are to successfully preparecarbon-based nanofluids while investigating the stability mechanisms a ...Daha fazlası
In order to investigate Heart Attack Analysis and Detection Using Machine Learning Methods, models that predict the type of news in a new condition determined by using Machine Learning Models have been studied. In particular, the performance of various classifiers, including logistic regression, Knearest neighbour (KNN), support vector machine (SVM), Naive Bayes and decision tree, is compared. In the experiments using a real-life dataset, logistic regression and SVM gave the best results with a test accuracy of 90%. Naive Bayes achieved an accuracy of 86.67%, KNN 83.33% and decision tree 63.33 ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.