Regional Differentiation of Buyers’ Activity in the Primary Housing Market of the Moscow Agglomeration
The regional differentiation of buyers' activity in the primary market of the Moscow agglomeration (MA) is analyzed based on address data of the buyers' initial registration. Acquisition of real estate by nonresident buyers (17% of transactions in Moscow and 23% in Moscow oblast) provides housing for about 100000 people per year, or 40% of the net migration inflow. The factor of the agglomeration effect gives leadership to buyers from St. Petersburg, and the factor of natural resource rent produces a high share of buyers from the Khanty–Mansi and Yamalo-Nenets autonomous okrugs (6.4% vs 1.6% of population), making their residents purchase real estate in Moscow under a low level of migration to the Moscow metropolitan area (MMA). Most nonresident buyers come from regions of the Russian provincial areas and earn the money to buy their housing in the labor market of the MMA. The distance factor makes the share of buyers from firstorder neighboring regions of the MMA 2.1 times higher than their share in the population in Moscow and 2.5 times higher than in Moscow oblast.
We analyzed key factors of electric power consumption for Moscow and regional households. It is shown that new build, intraregional migration, recreational housing and, finally, income drive household power consumption significantly. Average yearly temperature is not among accountable power consumption drivers for households. A power consumption model for households is suggested.
One of the key advances in genome assembly that has led to a significant improvement in contig lengths has been improved algorithms for utilization of paired reads (mate-pairs). While in most assemblers, mate-pair information is used in a post-processing step, the recently proposed Paired de Bruijn Graph (PDBG) approach incorporates the mate-pair information directly in the assembly graph structure. However, the PDBG approach faces difficulties when the variation in the insert sizes is high. To address this problem, we first transform mate-pairs into edge-pair histograms that allow one to better estimate the distance between edges in the assembly graph that represent regions linked by multiple mate-pairs. Further, we combine the ideas of mate-pair transformation and PDBGs to construct new data structures for genome assembly: pathsets and pathset graphs.
Papers about natural protection territories
Many environmental stimuli present a quasi-rhythmic structure at different timescales that the brain needs to decompose and integrate. Cortical oscillations have been proposed as instruments of sensory de-multiplexing, i.e., the parallel processing of different frequency streams in sensory signals. Yet their causal role in such a process has never been demonstrated. Here, we used a neural microcircuit model to address whether coupled theta–gamma oscillations, as observed in human auditory cortex, could underpin the multiscale sensory analysis of speech. We show that, in continuous speech, theta oscillations can flexibly track the syllabic rhythm and temporally organize the phoneme-level response of gamma neurons into a code that enables syllable identification. The tracking of slow speech fluctuations by theta oscillations, and its coupling to gamma-spiking activity both appeared as critical features for accurate speech encoding. These results demonstrate that cortical oscillations can be a key instrument of speech de-multiplexing, parsing, and encoding.
Neuronal nicotinic acetylcholine receptors (NNRs) of the α7 subtype have been shown to contribute to the release of dopamine in the nucleus accumbens. The site of action and the underlying mechanism, however, are unclear. Here we applied a circuit modeling approach, supported by electrochemical in vivo recordings, to clarify this issue. Modeling revealed two potential mechanisms for the drop in accumbal dopamine efflux evoked by the selective α7 partial agonist TC-7020. TC-7020 could desensitize α7 NNRs located predominantly on dopamine neurons or glutamatergic afferents to them or, alternatively, activate α7 NNRs located on the glutamatergic afferents to GABAergic interneurons in the ventral tegmental area. Only the model based on desensitization, however, was able to explain the neutralizing effect of coapplied PNU-120596, a positive allosteric modulator. According to our results, the most likely sites of action are the preterminal α7 NNRs controlling glutamate release from cortical afferents to the nucleus accumbens. These findings offer a rationale for the further investigation of α7 NNR agonists as therapy for diseases associated with enhanced mesolimbic dopaminergic tone, such as schizophrenia and addiction