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

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

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

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.

Soft tissue effects of Twin Block and Herbst appliances in patients with Class II division 1 mandibular retrognathy

ASLI BAYSAL

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

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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

Influence of Pre-Orthodontic Trainer treatment on the perioral and masticatory muscles in patients with Class II division 1 malocclusion

TANCAN UYSAL |

The aim of this follow-up study was to evaluate the effects of Pre-Orthodontic Trainer (POT) appliance on the anterior temporal, mental, orbicularis oris, and masseter muscles through electromyography (EMG) evaluations in subjects with Class II division 1 malocclusion and incompetent lips. Twenty patients (mean age: 9.8 ± 2.2 years) with a Class II division 1 malocclusion were treated with POT (Myofunctional Research Co., Queensland, Australia). A group of 15 subjects (mean age: 9.2 ± 0.9 years) with untreated Class II division 1 malocclusions was used as a control. EMG recordings of treatment ...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

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

Attitudes Toward Evidence-Based Nursing: The Situation of Pre- and Post-Graduation

NURAY EGELİOĞLU CETİŞLİ | YASEMİN TOKEM | EKİN DİLA TOPALOĞLU ÖREN | GÜLŞEN IŞIK | SEDA ÇETİN AVCI

Amaç: Bu çalışmanın amacı kanıta dayalı hemşireliğe yönelik mezuniyet öncesinde ve sonrasında katılımcıların tutumlarını, etkileyen faktörleri belirlemek ve karşılaştırmaktır.Gereç ve Yöntem: Çalışmanın birinci aşamasında veriler, dördüncü sınıfta öğrenim gören (n=171) öğrencilere Birey Tanıtım Formu ve Öğrencilerin Kanıta Dayalı Hemşirelik Konusundaki Bilgi, Tutum ve Davranışları Ölçeği kullanılarak toplanmıştır. Araştırmanın ikinci aşaması mezunlar (n=103) ile yürütülmüştür. İkinci aşamada veriler Kanıta Dayalı Hemşireliğe Yönelik Tutum Ölçeği kullanılarak toplanmıştır. Bulgular: Katılımcıla ...Daha fazlası