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In this study the Turkish construction sector was structurally considered and the effect of sector on some selected macroeconomic indicators was analyzed. In this scope, besides the statistical indicators, the linkages of sector with the other sectors were handled. As a result of evaluations, the construction sector affects the national income significantly. There is a high level correlation between the growth of Orhan Çoban, ,

The COVID-19 pandemic continues to spread around the world at full speed, threatening public health. In response, the World Health Organization recommends various preventive measures to reduce the spread of the COVID-19 virus. Wearing a mask is one of the preventive measures to reduce the contagion of the disease, and many governments around the world advise people to wear masks. One of the prominent symptoms of coronavirus is high fever. A person with a fever above normal is likely to have contracted the corona virus. This requires the identification of people with a high fever in order to prevent the epidemic in the public arena. This situation has caused people who want to enter public places to need masks and officers who control their body temperature. The aim of this study is to detect people who do not wear masks or do not wear them properly, and also to detect people with high fever through a system. The proposed system is designed as a system that can be integrated into automatic door systems. The system was basically implemented by running Mobile Net, one of the deep learning models, on the Raspberry Pi card. In the proposed method, 97.0% accuracy was obtained. Experimental results show that the proposed method can effectively recognize face masks and whether people have a high fever. This work is necessary for many closed areas that will make masks and fever control in public areas.

In this paper, by considering 2002-2013 period, foreign trade of Konya which has a significant development potential for regional competition was analyzed. According to the results, Konya is located behind to Istanbul, Izmir and Ankara with exports of 104 different products to 130 countries. When the number of exporting firms 517 was in Konya industry in 2002, it was 1427 in 2013. Similarly, when the number of importing firms was 431 in Konya industry in 2002, it was 1106 in 2013. In this context, while the total exports were 1.368 billion US dollars in 2013, imports were 1.226 billion US dollars during the same period. Motor vehicles sub-industry and machinery-equipment sector is one of the most important sectors of the manufacturing industry in Konya. At present, this sector are exporting various products to 167 countries around the world, level of exports was actualized at 204 million 461 thousand US dollars in 2013. Machinery and Accessories industry is followed to this sector with 187 million 477 thousand dollars exports. Similarly, imports of the manufacturing industry were come first. In 2013, 75% of the imports were carried out by the manufacturing industry in Konya. The share of the agriculture and livestock sectors is around 21% in total imports in 2013. When examining the trade balance of Konya economy, power of its competitiveness was seen to be high in

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