Assessing Potential Areas of Ecotourism through a Case Study in Ilgaz Mountain National Park

The changing demands of tourism provide greater benefits to tourists and generate competitive advantages that develop diversity in tourism. Elements of ecotourism fit within this context, and such tourism includes, but is not limited to, activities such as visiting natural and cultural resources without destroying nature, which are carried out with an aim toward sustainability. Ilgaz Mountain has a wealth of natural, cultural, historical, and recreational features, and its location near the Black Sea gives the area significant tourism potential. In order to evaluate the impact, potential, and possibilities of ecotourism in this protected area, we used geographic information systems (GIS) to determine the nature of protection required based on implementation availability. In this study, we used ecology-based identification of the natural and cultural values to characterize the features. The study consists of four parts: (1) the concept of ecotourism, (2) discussion of sustainable growth of tourism, (3) sustainability of ecotourism using GIS and how this is related to sustainable ecotourism in protected areas, such as in Turkey, (4) results and evaluation. By assessing these results, we aim to determine potential areas for ecotourism in terms of sustainable development, and we expect the results to provide useful ideas for further research

k-TYPE SLANT HELICES FOR SYMPLECTIC CURVE IN 4-DIMENSIONAL SYMPLECTIC SPACE

In this study, we have expressed the notion of $k$-type slant helix in $4$-symplectic space. Also, we have generated some differential equations for $k$-type slant helix of symplectic regular curves.

Assessment of Turkish junior male physicians’ exposure to mobbing behavior

Aim To determine the extent of Turkish junior male physicians’ exposure to mobbing behavior and its correlation with physicians’ characteristics. Methods The study included physicians recruited for compulsory military service in April 2009. No sampling method was used, questionnaires were delivered to all physicians, and 278 of 292 (95%) questionnaires were returned. We used Leymann Inventory of Psychological Terror including 45 items for data collection and structural equation model for data analysis. Results A total of 87.7% of physicians experienced mobbing behavior. Physicians who worked more than 40 hours a week, single physicians, physicians working in university hospitals and private hospitals, and physicians who did not have occupational commitment were more exposed to mobbing (P < 0.05). Mobbing was not associated with specialty status, service period, age, and personality variables (P > 0.05). All goodness-of- fit indices of the model were acceptable (χ2 = 1.449, normed fit index = 0.955, Tucker Lewis index = 0.980, comparative fit index = 0.985, and root mean square error of approximation = 0.040). Conclusions Workplace mobbing is a critical problem for junior male physicians in Turkey. We suggest an introduction of a reporting system and education activities for physicians in high-risk groups

Determination of appropriate areas in terms of bio comfort by using summer temperature index with the help of GIS throughout Ordu province

Threshold values for climate elements have been determined and some indices have been developed, especially with studies on human comfort. It is a fact that the feeling of comfort is subjective and there are different psychological and physical factors affecting this feeling. However, the presentation of threshold values and indices is very interesting in determining the current state of the climate conditions of the environment in terms of average and optimal values and the extent of deviation from the most appropriate values. The values of the climate elements that need to be looked at in order to provide bioclimatic comfort; it as a combination of 21-27.5 °C temperature, 30-65% relative humidity and wind speed up to 5 m/s in open area. These values have been used in many bioclimatic assessments. In addition to being an effective factor in almost every aspect of people's lives, bio comfort is also important in the periods when tourism activities are carried out. Thus, it is extremely important to determine the regions that are not suitable for bio comfort in the season of tourism in the regions that tourism activities are carried out. The aim of this research is to determine the suitable and unsuitable areas in terms of bio comfort in summer by using New Summer Index throughout Ordu province via GIS. As a conclusion, it has been determined that the area covering approximately 57.62% of the southern part of the province is cold, and the most comfortable part of the province is the part covering approximately 11.12% of the province and located by the sea in the north of the province

Multi-task Deep Neural Networks in Automated Protein Function Prediction

In recent years, deep learning algorithms have outperformed the state-of-the art methods in several areas thanks to the efficient methods for training and for preventing overfitting, advancement in computer hardware, the availability of vast amount data. The high performance of multi-task deep neural networks in drug discovery has attracted the attention to deep learning algorithms in bioinformatics area. Here, we proposed a hierarchical multi-task deep neural network architecture based on Gene Ontology (GO) terms as a solution to protein function prediction problem and investigated various aspects of the proposed architecture by performing several experiments. First, we showed that there is a positive correlation between performance of the system and the size of training datasets. Second, we investigated whether the level of GO terms on GO hierarchy related to their performance. We showed that there is no relation between the depth of GO terms on GO hierarchy and their performance. In addition, we included all annotations to the training of a set of GO terms to investigate whether including noisy data to the training datasets change the performance of the system. The results showed that including less reliable annotations in training of deep neural networks increased the performance of the low performed GO terms, significantly. We evaluated the performance of the system using hierarchical evaluation method. Mathews correlation coefficient was calculated as 0.75, 0.49 and 0.63 for molecular function, biological process and cellular component categories, respectively. We showed that deep learning algorithms have a great potential in protein function prediction area. We plan to further improve the DEEPred by including other types of annotations from various biological data sources. We plan to construct DEEPred as an open access online tool.Comment: 19 pages, 4 figures, 4 table

INDEPENDENT REGULATORY AGENCIES IN TURKEY AND THEIR FORMAL INDEPENDENCE LEVELS

This article aims to examine IRAs in Turkey in terms of structural and functional situation, place of in Turkish administrative structure and control and to evaluate their formal independence levels. However, before doing that we will briefly explain reasons of creating IRAs and the concept of independence of IRAs because of their importance to evaluate IRAs and their formal independence levels in Turkey

Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine

In this study, an analysis was conducted by using discrete wavelet packet transform (DWPT) and support vector machine (SVM) methods to determine undamaged and cracked plates. The pendulum was used to land equal impacts on plates in this experimental study. Sounds, which emerge from plates as a result of the impacts applied to undamaged and cracked plates, are sound signals used in the analysis and DWPT of these sound signals were obtained with 128 decompositions for feature extraction. The first four components, reflecting the characteristics of undamaged and cracked plates within these 128 components, were selected for enhancing the performance of the classifier and energy values were used as feature vectors. In the study, the SVM model was created by selecting appropriate C and γ parameters for the classifier. Undamaged and cracked plates were seen to be successfully identified by an analysis of the training and testing phases. Undamaged and cracked statuses of the plates that are undamaged and have the analysis had identified different cracks. The biggest advantage of this analysis method used is that it is high-precision, is relatively low in cost regarding experimental equipment and requires hardware