The aim of this study was to investigate the three‐body wear resistance and hardness of commercially pure titanium and titanium alloys containing zirconium and tantalum (cp‐Ti, Ti‐5Zr and Ti‐5Ta). Each titanium test group, were subjected to wear tests under 105 wear cycles, 50 N mechanical force, 2.0 Hz wear frequency, 6 mm diameter Al2O3 antagonist ball, 5 °C/55 °C thermal change conditions immersed in poppy seed slurry as third‐body medium. The mean wear volume loss and depth of all test specimens after the three‐body wear tests was determined with use non‐contact 3D profilometer and also Vicker's hardness was measured. Wear area of microstructures were evaluated using scanning electron microscopy (SEM) and x‐ray diffraction (XRD) analysis. The hardness of Ti‐5Zr material was significantly greater than the other alloy material and cp‐Ti. However, for the test materials in this study considered, correlations between the three‐body wear resistance and hardness were found to be insignificant. It was concluded, the three‐body wear resistance of the alloy formed with the adding of zirconium and tantalum to the pure titanium is increased after wear tests.

Background: The adaptations of “term” and “preterm” newborns to the world are quite different, but one of the important problems for both groups during these periods is to provide temperature control of the newborn, to reduce its exposure to light, and to provide ambient sound control. One of the important criteria in the postpartum adaptation of newborn babies is the attempts to increase environmental comfort. In providing comfort; ambient factors such as noise, light, heat, are tried to be controlled. Aim and Objectives: It is aimed to increase comfort by optimizing the environmental conditions of the baby in the Autonomous Controlled Integrated System for Increasing Comfort in Newborn Babies, which will be designed within the scope of this study. Materials and Method: To summarize the integrated system, the autonomously controlled integrated system to be designed and produced within the scope of the project generally consists of three main modules. These modules can be summarized as analyzing the environmental conditions, making decisions based on artificial intelligence depending on the analyzed environmental conditions, and reporting the operations performed to the users using different communication channels. In this structure, first of all; The integrated system designed will measure the cradle environment and baby body temperature in real-time to increase baby comfort. The system will evaluate the measurement values obtained in the second module on the artificial intelligence map and generate commands for the environment to reach optimum conditions. To summarize this module, noise measurement in the integrated system will be measured in decibels with sound level measurement devices. In cases where babies are exposed to excessive noise, system stimulation will be activated and the ambient noise will be reduced, thus protecting the baby from the harmful effects of excessive noise. The light intensity of the lighting environment where the baby's environment is located will be kept in the range of a minimum of 10 lux and a maximum of 600 lux mentioned in the literature. By performing system simulation below or above this range, the user will be informed and the environment will be brought to optimum conditions. In addition to monitoring the environment, the recorded sound data will also make predictions based on artificial intelligence about the baby's needs or problems, according to the baby's crying pattern. In the third module, the system will ensure that the real-time transaction process is reported to the user and the family health center. Results: As a result, with the integrated system that will be designed and produced, it will be possible to intervene in real-time based on artificial intelligence technology to the changes in the environment where the baby is located, and this situation will be reported with real-time data. Conclusion: Thus, baby comfort will be increased, family anxiety level will be reduced, and changes in the baby's environment will be reported in real-time.

Background: It has become an increasingly important issue to be able to predict the behavior of biomaterials placed in the human body over the time periods. It is always desirable for the biomaterial to have the ability to show the desired mechanical and esthetic behaviors throughout the determined treatment process. Researchers develop many laboratory and modeling test mechanisms to determine the behavior of biomaterials over time periods. The aim of this study is to perform computer-aided analysis of the mechanical behavior of titanium biomaterial, which is frequently preferred in the human body, under different chewing forces. Materials and Methods: In this study, 20N, 40N, 60N, 80N, and 100N chewing forces were applied to the titanium test specimen prepared in the cylindrical shape. The chewing load analyses obtained after the test were evaluated by comparing with the previous experimental study (mean chewing force as 50N). Results: With the data obtained as a result of this study, it was observed that more plastic deformation occurs when the chewing force increases. It has been predicted that an increased wear area may occur in the test material due to the movement of the chewing mechanism. Conclusion: It can be said that choosing the average chewing force in experimental studies contributes to the occurred of less wear areas on the test material compared to the random chewing forces test procedures.

Background: Babies can express all their needs (such as hunger, pain, tiredness, discomfort, and so on) to their parents with crying behavior that being able to predict these behaviors of babies correctly parents is extremely important for the comfort of babies. In recent years, analyzing the baby crying sound and interpreting it in line with the needs has been developing as an important process in the estimation of baby needs. Methods: Analyzing the spectra of the baby crying sound over time and amplitude period creates a significant knowledge base on the prediction of baby needs. Within the scope of this study, a new method has been developed for the development of various technical analyzes of a sample baby crying sound using the MATLAB program. Results: With this method, the energy fluctuations in the sample baby crying sound were analyzed, and the changes in the crying process were examined through the baby crying process. Conclusions: As a result, thanks to the analysis data obtained within the scope of this study, it is aimed to provide data to autonomous controlled baby care units that can be manufactured in future studies.