As Turkey uses about 25.7% of energy consumption in residential area and doing this with natural gas imported from the abroad, production of efficient insolation materials is important to decrease energy dependence and deficiency. Due to both waste minimisation and money saving, there are great efforts on developing new environment friendly insulation materials. In the scope of the current study, the heat transfer coefficient was acquired by applying the linear heat conduction coefficient measurement device to find the heat transfer coefficient of the pomegranate seed sample obtained from various processes for the production of insolation material. The sample also have been examined with a two-port vector network analyser to see electromagnetic property. At the end of the experiment, the heat transfer coefficient of the sample produced from pomegranate seeds was calculate as k = 0.6115 W/mK. Moreover, it has been found that the obtained sample performs better than the other insulation materials in terms of electromagnetic perspective. With this feature of the sample, it has been found that using as insolation material in the areas with the high electro-magnetic field can minimize the effect of the harmful electromagnetism in the place where it is applied.

In this study, 50 inbred lines (S4) of maize (Zea mays indentata Sturt.), which were developed by the Department of Field Crops, Faculty of Agriculture, University of Namik Kemal, were used as a material. In the study, the band patterns of the gliadin protein of inbred lines were determined by the SDS – PAGE method, and regarding the ratio density data of the genotypes, the number of the bands and the spreading of them to the gliadin regions were examined. At the end of the electrophoresis examinations, it was revealed that the band number of the gliadin proteins in the inbred maize lines was between 11 and 20, the relative mobility of the genotypes was between 18 and 90 kDA, and according to the gliadin regions, the bands were mainly in the omega, beta and gamma regions, respectively. It was found out that the relative mobility was minimum in the alpha region. As a result of the study, it was determined that some lines were formed by similar populations with the obtained band patterns, and the majority were different. This indicates that genetic diversity exists in the examined lines, and the obtained data can be used in the breeding studies.

Recently, environmental problems caused by petroleum-based plastics have been increasing. Therefore, researchers have begun to investigate new materials that may be alternatives to plastics. Bioplastics are considered as green materials alternatives to plastics and they are produced from renewable resources such as corn and potatoes, or microorganisms under certain conditions. In addition, most researchers are concerned with renewable resources for non-food using, such as bioplastic production. For this reason, researchers have been focusing on the utilization of the wastes as bioplastic products. In this study, the bioplastic was produced from potato peel as the food industry waste. Also, some properties of the produced bioplastic such as water absorption capacity and biodegradability were analyzed. Furthermore, water absorption capacity and biodegradability of a commercial bioplastic were also determined in order for the comparison with the one produced from potato peel waste in different conditions. It was found that the produced potato peel bioplastic (PPB) had higher water absorption capacity than commercial bioplastic (CB). Therefore, PPB may not be used in the food service industry but can be used as packing material. Biodegradability tests showed that PPB biodegraded at about 71% in moist soil and 100% in vermicompost within four weeks. On the other hand, it was determined that CB was not degraded in the soil or in the compost in four weeks. Therefore, as a food industry waste, potato peel can be used in biodegradable bioplastic production. In this way, petroleum-based plastic pollution may be decreased both in Turkey and the world.

Today, fossil fuels are used primarily in energy production throughout the world. However, the ever-diminishing energy production and developing technology has encouraged energy recovery, saving or different topics. Grafen is one of the most remarkable studies in the field of nanotechnology in recent years. This nanotechnological product, considered as one of the mainstream products of future technology, has superior properties in some physical and chemical issues compared to many materials. Because of its high conductivity and durability, it continues to attract attention in energy and materials science. In this paper, the concrete samples obtained by mixing the graphene at certain ratios were compared with pure concrete (graphene free concrete) and the thermal conductivity of the grafen added concrete was determined. Finally, the thermal conductivity of the pure concrete (thermal conductivity of 1.3096 W/mK) added with 1 gr, 2 gr, 3 gr, 4 gr and 5 gr graphene were calculated as 1.6516, 1.6668, 1.6773, 1.8080 and 1.8486 (W/mK), respectively.

In this study, samples which can be used as brake pads are prepared. A mixture of 50% barite by mass, 20% glass fiber, 25% phenolic resin and 5% coke powder was prepared, and 6 samples were prepared by adding juniperus drupacea nut powder (JDNP) at 10%, 25% and 40%. The samples were produced in 3 different mixing times, 2 different compaction times, 3 different compaction temperatures and 3 different compression pressures. The effect of the compression pressure on the wear rate, hardness, density and cold friction coefficient was investigated. The wear rate ranges from 0.093.10-7 - 4.235.10-7cm3.N-1.m-1. The coefficient of cold friction ranges from 0.30 to 0.48. The density is between 1.82-2.17g/cm3. The hardness values ??are from 85 to 117 according to the Rockwell R scale. Wear rate and cold friction coefficient values ??are in accordance with TS 555 standard. It has been determined that the compressive pressure is most affected by the hardness and friction coefficient. Generally, rise of pressure reduces hardness and friction coefficient. The effect of density on JDNP ratio is opposite.

In grid interactive power converter applications, phase locked loop (PLL) algorithms are very important to realize grid synchronization. The performance of PLL should not be affected by adverse conditions such as voltage unbalance, harmonics, frequency and phase changes. Otherwise, synchronization errors occur between the grid interactive inverter and the grid. In this paper, two different PLL algorithms are simulated by modeling under MATLAB/Simulink. The performances of the PLLs are comparatively presented under four different grid conditions such as balanced, unbalanced, harmonics and variable frequency. In this study, synchronous reference frame-PLL (SRF-PLL) and decoupled double synchronous reference frame-PLL (DDSRF-PLL) which are mostly used, state-of-arts and effective PLL algorithms are analyzed by modeling in grid synchronization applications. It has also been demonstrated the positive and negative aspects of the PLLs based on the obtained results.

Cancer is the growth and proliferation of damage-ending cells in an uncontrolled or abnormal way. Today, it takes place among the most important health problems around the world and in our country. Surgery, radiotherapy, and chemotherapy are the main treatment methods in cancer treatment. The development of resistance to chemotherapeutic medicines has led scientists to investigate this issue as well as the drug’s ability to reach the targeted tumor site and destroying cancer cells in addition to normal cells. The production of various nanostructures for anticancer drug development has been one of the most important areas of nanomedicine. Thus, in the present research, the improved Hummers’ method was employed for the synthesis of graphene oxide nanoparticle (NGO), and it was activated by the folic acid (FA) antibody to increase targeting ability after attachment of the drug to the nanostructure systems. SEM, FTIR, XRD, UV/Vis spectroscopy, and zeta potential analysis were performed for characterization of the products. The highest absorbance of the FA-NGO/DIW nanostructures produced at the concentration of 0.01 mg/ml-0.05 mg/ml synthesized by the Hummers’ method and in the UV/Vis spectra, peaks at 232 nm and 270 nm corresponds to NGO-DIW and FA-NGO/DIW, respectively. The zeta potential value above 35 mV was obtained in all measurements, and the NGO-DIW and NGO-FA-DIW samples maintained stability for days. These findings are consistent with the few studies in the literature, and this study will guide future studies in which nanoparticle systems will be directed to the target by binding chemotherapeutic drugs.

In order to serve the purpose of the study, two different mathematical models which belong to production line to were developed to assign workforces to the jobs who have different skills. The assignment model had been examined on a product that produced in a specified welding line in the automotive industry. All labor levels related to the product were analyzed by time study firstly and then the collected data were analyzed. New skill levels of workers, skill matrix were determined according to skill requirements (min. and max.) of the jobs. All collected data which come from time studies and skill matrix were used as an input parameter in the mathematical model that aim to minimize the unit production cost. Reports of mathematical models showed that it is necessary to assign right skilled worker to the job to minimize the production cost and increase the efficiency online. In this case the implementation was made by selecting a product in the welding manufacturing line. In the line, there are 5 stations that have 14 jobs and 27 operators. A modeling has been carried out in which the operators can be assigned to jobs under optimum conditions, based on assignment criterias. Models of sensitivity analyzes and statistic report results obtained the importance of the differences in the level of competence and the effect on the duration of the job as well as the decrease in the labor costs by assigning the correct workforce to the right job and by assigning right conditions to the model.?