Treatments of horizontal root fractures: four case reports

EBRU KÜÇÜKYILMAZ

Horizontal root fractures are rare in comparison to other types of injuries and the reported prevalence in the literature is between 0.5% and 7%. The treatment and prognosis of root fractures depend on many variables, the most important being the length of time between trauma and treatment, degree of dislocation and mobility, site of fracture, fixation period, stage of root development, age of patient, and quality of treatment. The ideal healing type is hard tissue healing. The aim of these case reports is to present four different patients who had horizontal root fractures of imma ...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

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

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

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

Resonance frequency analysis of orthodontic miniscrews subjected to light-emitting diode photobiomodulation therapy

TANCAN UYSAL

The aim of this prospective experimental study was to evaluate the effect of light-emitting diode (LED) photobiomodulation therapy (LPT) on the stability of immediately loaded miniscrews under different force levels, as assessed by resonance frequency analysis (RFA). Sixty titanium orthodontic miniscrews with a length of 8 mm and a diameter of 1.4 mm were implanted into cortical bone by closed flap technique in each proximal tibia of 15 New Zealand white adult male rabbits (n = 30). The animals were randomly divided into irradiated and control groups under different force levels (0, 150, and 3 ...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

Low-shrinking composites. Are they reliable for bonding orthodontic retainers?

TANCAN UYSAL

To evaluate the shear bond strength (SBS), fracture mode, wire pull out (WPO) resistance and microleakage between low-shrinking and conventional composites used as a lingual retainer adhesive. Methods: A total of 120 human mandibular incisor teeth, extracted for periodontal reasons, were collected. Sixty of them were separated into two groups. To determine the SBS, either Transbond-LR (3M-Unitek) or Silorane (3M-Espe) was applied to the lingual surface of the teeth by packing the material into standard cylindrical plastic matrices (Ultradent) to simulate the lingual retainer bonding area. To t ...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

Comparison of three different orthodontic wires for bonded lingual retainer fabrication

ASLI BAYSAL |

Objective We evaluated the detachment force, amount of deformation, fracture mode, and pull-out force of 3 different wires used for bonded lingual retainer fabrication. Methods We tested 0.0215-inch five-stranded wire (PentaOne, Masel; group I), 0.016 × 0.022-inch dead-soft eight-braided wire (Bond-A-Braid, Reliance; group II), and 0.0195-inch dead-soft coaxial wire (Respond, Ormco; group III). To test detachment force, deformation, and fracture mode, we embedded 94 lower incisor teeth in acrylic blocks in pairs. Retainer wires were bonded to the teeth and vertically directed force was ap ...Daha fazlası

Relationship between odontogenic bacteremia and orthodontic stripping

TANCAN UYSAL

Introduction: The aim of this study was to evaluate the prevalence of bacteremia associated with an orthodontic stripping procedure. Methods: The study included 29 orthodontic patients (mean age, 18.2 6 3.4 years). We used a standardized stripping procedure: a perforated stripping disk with a contra-angle hand piece was used at a low speed (\15,000 rpm; 10 seconds) on the mandibular anterior teeth. Blood samples were collected by inserting a cannula into the left antecubital fossa. A baseline sample was taken before treatment, and a second sample was taken after the stripping procedure. T ...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