- Burdur Mehmet Akif Ersoy Üniversitesi
- Başlangıç Yılı
- Havacılık Dizini
- Yayın Aralığı
- Yılda 2 Sayı
Son Sayı (Latest Issue) - Year 2022 Volume 5 Issue 2
The health care systems are quickly adapting digital health records, which will exponentially increase the quantity of medical data. The systems are generally faced with unsustainable costs and large volumes of electronic medical data. Therefore, more efficient research, practices, and real-world applications are needed to take advantage of all benefits of medical data. One strategy to cut back on the rising costs is the detection of fraud. In this paper, XGBoost, which is an implementation of gradient-boosted decision trees, was employed, along with supervised algorithms to include Random Forest, Logistic regression, and decision trees. The List of Excluded Individuals/Entities (LEIE) database, which contains excluded providers' information, was used to label as a fraud in the Medicare Part B dataset. Thus, the data has become available for use with supervised methods. According to the experimental results, the XGBoost algorithm outperformed traditional machine learning algorithms in terms of performance.
This study was carried out with the aim of determining the perceptions developed by high school students towards the physics course. The universe of the study is the students who take physics lessons at the 1st grade of high school in private and public schools in the central district of a medium-development Anatolian city. As a sample, a questionnaire was applied to a total of 548 students. Although this group has differences; They also have common denominators such as having the same formal educational background, being subject to the same central qualifying exams, and having been taking physics lessons for 6 weeks at the high school level. 7 attitude sentences with positive or negative meanings were determined for the viewpoint of the physics lesson, and with these sentences, a five-point Likert type scale was formed, starting from "Strongly Disagree" to "Strongly Agree". The data obtained from the application were analyzed using the SPSS program and the reliability coefficient in terms of internal consistency of the applied scale was calculated as α=0.79. The findings obtained by the evaluation of the data and the suggestions for their solution is presented in the discussion and conclusion part.
The popularity of games like FIFA and Football Manager has attracted millions of players. Data plays an increasingly prominent role in these games. In other words, these games contain data from all soccer players worldwide, which can be used to simulate soccer games. Therefore, a lot of experts and a lot of tools are involved in producing football data. It is not only the production of this data that has attracted researchers, but also the analysis of it since useful and consistent information can be extracted from it to design real-world football applications. In this study, we introduce a survey of studies which focus on the prediction of player value/performance using machine learning techniques. As far as we know, there is no survey in the literature that specifically addresses this topic.
Short Wave Diathermy (SWD); It is a physical therapy application method working with high frequency electromagnetic current, preferred in pathologies such as pain control, osteoarthrosis, fracture healing, joint contracture, muscle spasm, fibromyalgia, peripheral nerve repair, soft tissue healing in musculoskeletal injuries. SWD devices can cause serious biological effects such as tissue burns in the patient due to excessive radio frequency exposure due to malfunctioning and malfunctioning of the device, as well as having therapeutic properties. Likewise, the targeted effective treatment cannot be provided in cases such as insufficient output values for treatment due to lack of maintenance and calibration in the device. For this reason, it is necessary to check the output frequency and RF power values of the SWD devices used in health facilities at regular intervals, but it is observed that only electrical safety tests of the devices are still carried out in practice, due to the fact that the special equipment required for this process is monopolized by the manufacturer and it is high cost. In this study; The output frequency and RF power values of different types of SWD devices, which are registered in the inventory of Bursa İlker Çelikcan Physical Therapy and Rehabilitation Hospital and are actively used in patient treatments for Physical Therapy, were measured by certain methods, and it was aimed to determine their effectiveness in treatment by evaluating the device performances.
In this study, the energy analysis of a single-stage vapor compression refrigeration system operating with R514A refrigerant, which is used as an alternative to R123 refrigerant, has been made and compared. Within the scope of energy analysis, the mass flow rates of refrigerants, compressor energy consumption, cooling capacities, cooling effects (evaporator enthalpy difference), COPs, and discharge temperatures have been examined. It has been observed that R123 refrigerant has a higher mass flow rate and compressor energy consumption than R514A. In addition, although R123 has a low cooling effect, it has a higher cooling capacity than R514A, and this is because R123 has a high mass flow rate. R514A is superior to R123 in terms of discharge temperature. Finally, it has been seen that the COPSM of R514A is almost the same (slightly lower) as R123. As a result, the use of R514A in the cooling system will reduce direct emissions. However, the operating life of the system should be considered. In other words, indirect emissions (especially due to energy consumption) should not be neglected in the selection of refrigerants.
In the blend of 1st fabric recycled cotton produced in this study, plain fabric was produced from 50% recycled cotton and 50% cotton compact yarns. 2. Fabric is a plain fabric made from 65% recycled cotton and 35% cotton using compact yarns. The tear strength, abrasion resistance and pilling performance of the fabrics were examined when the blending ratios of the cottons obtained from the recycling used in these fabrics increased. For this purpose, the tear strengths of 2 fabrics produced were examined. For the wear resistance, the pilling performance was investigated by determining the number of 5 rounds. 2000, 5000, 8000, 11000 and 14000 round numbers were used in the test used for abrasion resistance. Finally, it was checked how many rounds occurred in the fabric. According to the results obtained, 65% recycled cotton and 35% cotton were used in the recycled blend, and the tear strength decreased and pilling properties increased.
The increase in greenhouse gases released into the atmosphere is shown as the most important cause of climate change. Climate change will pose a great threat to the environment and human health in the future. In this study, the carbon footprint of the greenhouse gas emissions resulting from the consumption of fossil fuels, which have a significant effect on global warming, between the years 2017-2021 in Afyonkarahisar, Türkiye was calculated. The Tier 1 approach recommended by the Intergovernmental Panel on Climate Change (IPCC) was used in the calculation. Greenhouse gas emissions were obtained by calculating the emissions from CO2, CH4, and N2O gases separately and adding them after they were converted to CO2 equivalent. It has been determined that the highest carbon emission is caused by diesel fuel consumption, followed by LPG and benzine vehicles, respectively. The amount of carbon footprint, which was 1239.85 Gg in 2017, decreased to 1117.60 Gg in 2021. The last emission was realized in 2019 with 956.51 Gg. The amount of greenhouse gas emissions per capita was realized at the highest in 2017 at 173.2x10-5 Gg and at least in 2019 at 31.1x10-5 Gg.
Greenhouse gas emissions are the gases released into the atmosphere, directly or indirectly, as a result of different types of production and consumption processes. The use of fossil fuels, deforestation, agricultural practices, industrial processes and the livestock sector are human-induced actions that increase greenhouse gas emissions. Since greenhouse gases hold heat in the atmosphere, they increase the temperature and cause global warming and climate change with the effect of greenhouse gases. In this study, total greenhouse gas emissions values of 8 countries with tropical climate (Brazil, Nigeria, Venezuela, Colombia, Sudan, Bolivia and Chad) were investigated. It has been observed that among these countries, especially those with developed industries, have higher total greenhouse gas emission values. Among these countries, the highest total greenhouse gas emission value is approximately 1.5 billion tons in Brazil.
The study aims to investigate hematological parameters, blood cell diameters and shapes of rats exposed to 2.45 GHz wave frequency EMF. All of the subjects were divided in three groups as cage control group (n = 30), pseudo-exposure group (n = 30) and 2.45 GHz EMF exposed group (n = 30). The rats in the magnetic field group were exposed to a frequency of 2.45 GHz wave EMF power of 1 mW/cm2 for 120 minutes a day for 2 weeks. The effects of the electromagnetic field on blood levels in rats exposed to 2.45 GHz were compared. The mean lymphocyte count of 2.45 GHz group was lower than in the control group, the number of monocytes in the 2.45 GHz group was higher than the control group. The mean platelet count in the experimental group exposed 2.45 GHz was observed more intense than the control group. Exposure conditions of EMF emitted from wireless devices should be examined and in accordance with these terms the necessary corrections are being made and national standards should be determined. To continue research on this subject is important in terms of scientific and public health.