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Land consolidation is one of the essential tools to increase productivity in agricultural production. The most important, complex, and time-consuming step is land allocation among the land consolidation stages. For these reasons, it is inevitable to use computer technology to optimize this process. This study used reallocation models based on PESA-II and NSGA-II optimization algorithms to solve the reallocation problem. The methods were compared with the optimization algorithms in the literature and the conventional method obtained by the technician. The applied algorithms have achieved successful results by parcel number, average parcel size, and reallocation cost. [ABSTRACT FROM AUTHOR]

Objective: We aimed to assess the association between cord blood brain-derived neurotrophic factor (BDNF) concentration and maternal depression during pregnancy. Methods: A total of 48 pregnant women, admitted for elective caesarean section to Department of Obstetrics and Gynecology, The Konya Research and Training Hospital and Konya Necmettin Erbakan University Meram Medical Faculty, were included in this study. The study group included 23 women diagnosed as having depression during pregnancy and the control group included 25 pregnant women who did not experience depression during pregnancy. Results: The groups had similar sociodemographic characteristics. Cord blood BDNF concentration was significantly lower in babies born to mothers with major depression as compared with those in the control group. We didn't find any correlation between the umbilical cord blood BDNF levels and BDI scores. Conclusion: The results suggest that the existence of major depression in pregnant women may negatively affect fetal circulating BDNF levels. [ABSTRACT FROM AUTHOR]

It is substantially significant to protect historical structures, which are an important part of our culture, against natural disasters such as earthquakes and to be transmitted to future generations. The structural behaviour of historical buildings must be well known to protect such structures. In order to be able to determine how safe the historic buildings are against the earthquake effect, it is necessary to determine the earthquake performance. Nowadays, the most commonly used method for the modelling and structural analysis of historical buildings systems with complex geometries is the finite element method. In this study, Historical Konya Gazi High School was examined according to the present situation regarding the design and construction features with Regulations on buildings to be built in earthquake regions and structural analysis was performed in ETABS program. Graphs showing displacements, moments, shear forces and axial forces are used to interpret the results of the finite element analysis of the Historical Gazi High School. It has been informed about the stresses and damages that may be caused by any earthquake to this building, which has been serving the students for 97 years. It is aimed that this work will be a study to suggest a solution in terms of not losing the our historical values and delivering it to future generations. [ABSTRACT FROM AUTHOR]

The cultivation of soil for supply of nutritional products necessary for human life is called agriculture. Although agriculture is very important for human beings, it is getting more difficult day by day to cultivate soil efficiently for various reasons. One of the main causes, which significantly prevents sustainable agriculture, is land fragmentation. Land consolidation is one of the important measures taken in order to prevent further fragmentation of agricultural land and the decrease in yield obtained from agriculture. The land consolidation process consists of several time consuming steps. Interview, today conducted manually in Turkey, is the stage where preferences of landowners are taken. These preferences correspond to the blocks that enterprises want their parcels to be placed at the end of consolidation. The interview phase takes a long time as it is carried out manually by a technician. Various studies have been done to improve the land consolidation, but most of these studies focus on other stages of process. In this study, genetic algorithm, particle swarm optimization, non-dominated sorting genetic algorithm II and multi objective particle swarm optimization are applied on the interview problem. The interview problem is a discrete structure optimization problem, thus its solution with traditional methods is difficult and time consuming. Preference lists are generated automatically using optimization algorithms. These lists are compared with the actual interview lists created by the technician. The experimental results confirm the success of algorithms in solving the real world problem. • In this study, interview stage of the land consolidation process is automated. • Meta-heuristic optimization algorithms are applied on the interview problem. • Automatically generated lists are compared with the actual interview lists. • The results verify the success of algorithms in solving the real world problem. [ABSTRACT FROM AUTHOR]