National Research University – Higher School of Economics

About: National Research University – Higher School of Economics is a education organization based out in Moscow, Russia. It is known for research contribution in the topics: Population & Computer science. The organization has 12873 authors who have published 23376 publications receiving 256396 citations.

Anomalous diffusion in fractal globules.

Abstract: The fractal globule state is a popular model for describing chromatin packing in eukaryotic nuclei. Here we provide a scaling theory and dissipative particle dynamics computer simulation for the thermal motion of monomers in the fractal globule state. Simulations starting from different entanglement-free initial states show good convergence which provides evidence supporting the existence of a unique metastable fractal globule state. We show monomer motion in this state to be subdiffusive described by ⟨X(2)(t)⟩∼t(αF) with αF close to 0.4. This result is in good agreement with existing experimental data on the chromatin dynamics, which makes an additional argument in support of the fractal globule model of chromatin packing.

Is Putin's Popularity Real?

Abstract: Vladimir Putin has managed to achieve strikingly high public approval ratings throughout his time as president and prime minister of Russia But is his popularity real, or are respondents lying to pollsters? We conducted a series of list experiments in early 2015 to estimate support for Putin while allowing respondents to maintain ambiguity about whether they personally do so Our estimates suggest support for Putin of approximately 80 percent, which is within ten percentage points of that implied by direct questioning We find little evidence that these estimates are positively biased due to the presence of floor effects In contrast, our analysis of placebo experiments suggests that there may be a small negative bias due to artificial deflation We conclude that Putin's approval ratings largely reflect the attitudes of Russian citizens

Ensemble Neural Network Approach for Accurate Load Forecasting in a Power System

Abstract: The paper presents an improved method for 1-24 hours load forecasting in the power system, integrating and combining different neural forecasting results by an ensemble system. We will integrate the results of partial predictions made by three solutions, out of which one relies on a multilayer perceptron and two others on self-organizing networks of the competitive type. As the expert system we will apply different integration methods: simple averaging, SVD based weighted averaging, principal component analysis and blind source separation. The results of numerical experiments, concerning forecasting the hourly load for the next 24 hours of the Polish power system, will be presented and discussed. We will compare the performance of different ensemble methods on the basis of the mean absolute percentage error, mean squared error and maximum percentage error. They show a significant improvement of the proposed ensemble method in comparison to the individual results of prediction. The comparison of our work with the results of other papers for the same data proves the superiority of our approach.

Property Rights, Land Liquidity and Internal Migration

Abstract: In the early twentieth century, a large number of households resettled from the European to the Asian part of the Russian Empire. We propose that this dramatic migration was rooted in institutional changes initiated by the 1906 Stolypin land titling reform. One might expect better property rights to decrease the propensity to migrate by improving economic conditions in the reform area. However, this titling reform increased land liquidity and actually promoted migration by easing financial constraints and decreasing opportunity costs. Treating the reform as a quasi-natural experiment, we employ difference-in-differences analysis on a panel of province-level data that describe migration and economic conditions. We find that the reform had a sizeable effect on migration. To verify the land liquidity effect, we exploit variation in the number of households participating in the reform. This direct measure of the reform mechanism estimates that land liquidity explains approximately 18% of migration during this period.

A pathway design framework for national low greenhouse gas emission development strategies

Abstract: The Paris Agreement introduces long-term strategies as an instrument to inform progressively more ambitious emission reduction objectives, while holding development goals paramount in the context of national circumstances. In the lead up to the twenty-first Conference of the Parties, the Deep Decarbonization Pathways Project developed mid-century low-emission pathways for 16 countries, based on an innovative pathway design framework. In this Perspective, we describe this framework and show how it can support the development of sectorally and technologically detailed, policy-relevant and country-driven strategies consistent with the Paris Agreement climate goal. We also discuss how this framework can be used to engage stakeholder input and buy-in; design implementation policy packages; reveal necessary technological, financial and institutional enabling conditions; and support global stocktaking and increasing of ambition.