Академическая мобильность или networking по-русски?
Academic mobility facilitates interactions of different scientific schools and collectives, influences formation of academic relations and indirectly affects positions of universities in academic rankings. Mobility helps establish networks of professional contacts, and that might have a positive impact on the level of research, allowing efficient academic collaboration, access to results of different studies and collected data. Mobility is an important issue not only for universities, but also for researchers because their collaboration with the colleagues and participation in joint projects characterize them for other members of the academic community, and that increases the value of academic networking. However, the way of evolution of the institution of networking raises various questions about the objectivity of the recruiting process and advantages that some candidates get over their rivals. The purpose of this article is identification and analysis of those factors that force the institution of mobility in the Russian academic reality to work against general social interests and the interests of universities.
Modern network processors (NPs) increasingly deal with packets that require heterogeneous processing. We consider the problem of managing a bounded size input queue buffer where each packet requires several rounds of processing before it can be transmitted out. The goal of admission control policies is to maximize the total number of successfully transmitted packets. Usually the transmission order of the packets is induced by the processing order. However, processing order can have a significant impact on the performance of buffer management policies even if the order of transmission is fixed. For this reason we decouple processing order from transmission order and restrict our transmission order to First-In-First-Out (FIFO) but allow for different orders of packet processing, introducing the class of such policies as Semi-FIFO. In this work, we build a taxonomy of Semi-FIFO policies and provide worst case guarantees for different processing orders. We consider various special cases and properties of Semi-FIFO policies, e.g., greedy, work-conserving, lazy, and push-out policies, and show how these properties affect performance. Further, we conduct a comprehensive simulation study that validates our results.
This paper reports a Foresight exercise, which was carried out to develop a research strategy and a business model for the science park of Ankara University (AU). Science parks have been crucial elements of innovation systems both in developed and developing countries due to their role in bridging the gap between academia and business through knowledge spill-overs and spin-offs. Although there is a widespread consensus about the usefulness of the science park concept, the actual performance of science parks and how well they meet expectations have been controversial. This paper discusses the success factors for science parks. A three dimensional policy framework, which includes ‘complementarity’, ‘networking’ and ‘strategic scalar positioning’ is suggested to be taken into account during the design and operation of science parks. The paper describes the Foresight process and the policies and strategies developed by using the three dimensional policy framework proposed for the newly established science park at Ankara University.
In article value of network cooperation of links logistic systems is stated and the key directions of changes of branch structure taking into account international practice and interbranch specifics are reflected, the main terms are defined, components of cumulative efficiency of cooperation of links logistic systems are allocated and the mathematical model of minimization of costs is presented at interbranch level.
Traffic classification is a core problem underlying efficient implementation of network services. In this work we draw from our experience in classifier design for commercial systems to address this problem in SDN and OpenFlow. We identify methods from other fields of computer science and show research directions that can be applied for efficient design of packet classifiers. Proposed abstractions and design patterns can significantly reduce requirements on network elements and enable deployment of functionality that would be infeasible in a traditional way.
We describe optimal contest success functions (CSF) which maximize expected revenues of an administrator who allocates under informational asymmetry a source of rent among competing bidders. It is shown that in the case of independent private values rent administrator’s optimal mechanism can always be implemented via some CSFs as posited by Tullock. Optimal endogenous CSFs have properties which are often assumed a priori as plausible features of rent-seeking contests; the paper therefore validates such assumptions for a broad class of contests. Various extensions or optimal CSFs are analyzed.
The article describes the features of an enterprise’s business process management that concerns ad-hoc processes. The analysis of the possible implementation problems in ECM system is shown and ways of overcoming.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.