The relationship between economic complexity index and export: The case of Turkey and central Asian and Turkic Republics

The paper focuses on the mutual interaction between export from Turkey to Central Asian and Turkic Republics (the CATRs) and exported product range. For measuring the range of exported products, we use economic complexity index (ECI) that refers to the knowledge intensity accumulated in the country's exported products. In addition, ECI provides information regarding the countries' export structures and income levels. We explore how export levels of Turkey and the CATRs, which have common religion and ethnicity, and the countries' ECI scores interact with each other. In this regard, we demonstrate how export affects the countries' ECI for both the CATRs and Turkey. For this purpose, we study the possible relationship between mutual trade volume and the countries' ECI scores by employing Westerlund's cointegration analysis, Pooled Mean Group Estimator (PMGE) model and Dumitrescu-Hurlin's panel causality method. We used the data on the researched countries for the period from 1996 to 2015 collected from official web sites. We have found that export from Turkey to the CATRs and Turkey's ECI scores have a long-term relationship. Additionally, there is a unidirectional causality relationship from Turkey's export to the CATRs to Turkey's ECI score and from the CATRs' ECI scores to the CATRs' export to Turkey. To sum up, our findings support the hypothesis that higher trade volume between Turkey and the CATRs increases the export of complex products for both sides. Based on the results, stronger mutual trade relations increase the total gain not only for Turkey but for the CATRs, too. Lastly, in future studies, we plan to cover all Post-Soviet countries and reveal the relations between bilateral trade and the range of exported products. © 2019 Institute of Economics, Ural Branch of the Russian Academy of Sciences. All rights reserved

2D recurrent neural networks for robust visual tracking of non-rigid bodies

© Springer International Publishing Switzerland 2016. The efficient tracking of articulated bodies over time is an essential element of pattern recognition and dynamic scenes analysis. This paper proposes a novel method for robust visual tracking, based on the combination of image-based prediction and weighted correlation. Starting from an initial guess, neural computation is applied to predict the position of the target in each video frame. Normalized cross-correlation is then applied to refine the predicted target position. Image-based prediction relies on a novel architecture, derived from the Elman’s Recurrent Neural Networks and adopting nearest neighborhood connections between the input and context layers in order to store the temporal information content of the video. The proposed architecture, named 2D Recurrent Neural Network, ensures both a limited complexity and a very fast learning stage. At the same time, it guarantees fast execution times and excellent accuracy for the considered tracking task. The effectiveness of the proposed approach is demonstrated on a very challenging set of dynamic image sequences, extracted from the final of triple jump at the London 2012 Summer Olympics. The system shows remarkable performance in all considered cases, characterized by changing background and a large variety of articulated motions

Trehalose, glycogen and ethanol metabolism in the gcr1 mutant of Saccharomyces cerevisiae.

Since Gcr1p is pivotal in controlling the transcription of glycolytic enzymes and trehalose metabolism seems to be one of the control points of glycolysis, we examined trehalose and glycogen synthesis in response to 2 % glucose pulse during batch growth ingcr1 (glucose regulation-1) mutant lacking fully functional glycolytic pathway and in the wild-type strain. An increase in both trehalose and glycogen stores was observed 1 and 2 h after the pulse followed by a steady decrease in both the wild-type and thegcr1 mutant. The accumulation was faster while the following degradation was slower ingcr1 cells compared to wild-type ones. Although there was no distinct glucose consumption in the mutant cells it seemed that the glucose repression mechanism is similar ingcr1 mutant and in wild-type strain at least with respect to trehalose and glycogen metabolism

The relationship of cutting force with hole quality in drilling process of AISI H13 steel

The harmony of the drilling machine-cutting tool-work piece is very important for producing the machine part with the ideal dimensions. For this purpose in this study, the effect of cutting forces on hole quality (surface roughness, diameter deviation and circular deviation) was investigated by 14 mm diameter uncoated and (AlCrN monolayer) coated carbide drills for drilling AISI H13 hot work tool steel on vertical machining center. Four different cutting speeds (60, 75, 90 and 108 m / min) and three different feed rates (0.15, 0.20 and 0.25 mm / rev) were used in the experiments. Cutting forces have been found to be effective in improving hole quality. Better hole quality has obtained with coated drills than uncoated drills in experiments. It has been observed that coated drills have the effect of improving the hole quality due to the operation with less cutting force and better chip evacuation