Chinese Strategy Towards Europe: The Belt and Road Initiative and 17 + 1 Strategy - What Does It Mean for the EU and Central and Eastern Europe?

Several projects like the Silk Road have been developed by different countries in the post-1991 period, but there is only one that had a tremendous global impact: the "One Belt One Road" (Belt and Road) Initiative developed by China. This project was first announced by the Chinese President Xi Jinping during his visit to Central Asia in 2013, and has subsequently had a tremendous global, regional and national effect. The Belt and Road Initiative not only covers almost the entire Asian continent, but also a large geographical area that extends from East Africa to Europe. Through this project China aims to promote common development and welfare sharing among all countries along the Belt and Road routes, to establish mutual political trust between China and these countries, to more effectively connect transportation networks among regions and cities along the routes, and to establish cultural contact between societies. Accordingly, China wants to put its development process on a planned and solid basis by increasing its global impact in the economic, political, and cultural fields

On Some Hadamard-Type Inequalıtıes for (r,m) -Convex Functıons

In this paper, we define a new class of convex functions which is called (r,m) - convex functions. We also prove some Hadamard\u27s type inequalities based on this new definition

Akciğer kanserinin gen ortak ifade analizi için bir yöntem.

Construction method of a gene co-expression network (GCN) is crucial in medical research aiming to reveal disease related genes. Applied similarity measure and selection of edges that represent significantly co-expressed gene pairs in the network affect directly the elements of a network and so the list of prioritized genes. Pearson correlation coefficient is a commonly used similarity measure to quantify co-expressions of genes due to its simplicity and performance compared to many complex methods. However, it is affected by outliers and may not be reliable with low sample size. On the other hand, selection of edges is generally based on an arbitrary cutoff which makes networks subjective. For a more standard and accurate analysis, reliability of a similarity measure must be ensured as well as an objective threshold determination for the selection of edges. Here, a framework is proposed for the construction of GCNs that combines a reliability measure, stability, previously applied to Pearson correlation coefficient to detect general co-expression differences between healthy and cancer state and an automatic threshold selection method, Random Matrix Theory for a standard network construction. The proposed framework was applied to lung adenocarcinoma. In the analysis part, genes were prioritized by using changes in topological and neighborhood properties of nodes in control and disease networks. Differential co-expressions of known interacting proteins and intrinsically disordered proteins were also analyzed. Results suggest that co-expression networks are topologically spoke-like and control samples are in transition phase from healthy to cancer. Thus, effects of stability on finding general co-expression differences between cancer and healthy states could not be assessed. Prioritized genes by both proposed and control methods are mostly enriched to relevant processes reflect the changes in cellular machinery as a result of a state shift to cancer and may reveal dynamical features of transition of cells to cancer state with a further detailed analysis. Furthermore, some genes were prioritized related with cilia which may have roles early phases of transition.M.S. - Master of Scienc