28 research outputs found
Convergent and oscillatory solutions in infinite-dimensional synchronization systems
Control systems that arise in phase synchronization problems are featured by infinite sets of stable and unstable equilibria, caused by presence of periodic nonlinearities. For this reason, such systems are often called “pendulum-like”. Their dynamics are thus featured by multi-stability and cannot be examined by classical methods that have been developed to test the lobal stability of a unique equilibrium point. In general, only sufficient conditions for the solution convergence are known that are usually derived for pendulum-like systems of Lurie type, that is, interconnections of stable LTI blocks and periodic nonlinearities, which obey sector or slope restrictions. Most typically, these conditions are written as multi-parametric frequency-domain inequalities, which should be satisfied by the transfer function of the system’s linear part. Remarkably, if the frequencydomain inequalities hold outside some bounded range of
frequencies, then the absence of periodic solutions with frequencies in this range is guaranteed, which can be considered as a weaker asymptotical property.
It should be noticed that validation of the frequency domain stability condition for a given structure of the known linear part of the system is a self-standing nontrivial problem. In this paper, we demonstrate that a previously derived frequency-domain conditions for stability
and absence of oscillations can be substantially simplified, parameters ensuring the corresponding asymptotic property. We demonstrate the efficiency of new criteria
on specific synchronization systems
Carbon balance in East European tundra
[1] We studied the carbon dioxide and methane fluxes from early June to mid-September
2001 in the Russian tundra of northeast Europe. Gas fluxes were measured with chamber
techniques to determine the seasonal (100 days) carbon gas balance for terrestrial
ecosystems representing various vegetation types. Also, the gas balance for aquatic
ecosystems in the region was measured. The 2001 fluxes were compared to colder and
wetter season fluxes from 1999. The Sphagnum sp. dominated peat plateau fen and Carex
sp. and Sphagnum sp. dominated intermediate flarks were carbon sinks of 106 and
110 g C m2, respectively. In addition, methane emissions were highest from these sites.
Other terrestrial surfaces lost carbon to the atmosphere (28-118 g C m2). The
thermokarst lake and the river had seasonal carbon losses of 15 and 34 g C m2,
respectively. For areal integration, the distributions of the various functional surfaces
were classified based on Landsat TM satellite image and on-site validation. This data was
used to integrate the carbon fluxes for the entire Lek Vorkuta catchment. The upscaling
indicated that the catchment (114 km2) lost 4 (±3.5) Gg C to the atmosphere in summer
2001. The results suggest that predicted warming in the tundra region would induce a
substantial loss of carbon. In the warm summer of 2001, the carbon gas released from the
whole northeast European tundra (area 205,000 km2) was 8 Tg C when calculated from
the Lek Vorkuta data
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Comparison and assessment of coarse resolution land cover maps for Northern Eurasia
Information on land cover at global and continental scales is critical for addressing a range of ecological, socioeconomic and policy questions. Global land cover maps have evolved rapidly in the last decade, but efforts to evaluate map uncertainties have been limited, especially in remote areas like Northern Eurasia. Northern Eurasia comprises a particularly diverse region covering a wide range of climate zones and ecosystems: from arctic deserts, tundra, boreal forest, and wetlands, to semi-arid steppes and the deserts of Central Asia. In this study, we assessed four of the most recent global land cover datasets: GLC-2000, GLOBCOVER, and the MODIS Collection 4 and Collection 5 Land Cover Product using cross-comparison analyses and Landsat-based reference maps distributed throughout the region. A consistent comparison of these maps was challenging because of disparities in class definitions, thematic detail, and spatial resolution. We found that the choice of sampling unit significantly influenced accuracy estimates, which indicates that comparisons of reported global map accuracies might be misleading. To minimize classification ambiguities, we devised a generalized legend based on dominant life form types (LFT) (tree, shrub, and herbaceous vegetation, barren land and water). LFT served as a necessary common denominator in the analyzed map legends, but significantly decreased the thematic detail. We found significant differences in the spatial representation of LFT's between global maps with high spatial agreement (above 0.8) concentrated in the forest belt of Northern Eurasia and low agreement (below 0.5) concentrated in the northern taiga-tundra zone, and the southern dry lands. Total pixel-level agreement between global maps and six test sites was moderate to fair (overall agreement: 0.67-0.74, Kappa: 0.41-0.52) and increased by 0.09-0.45 when only homogenous land cover types were analyzed. Low map accuracies at our tundra test site confirmed regional disagreements and difficulties of current global maps in accurately mapping shrub and herbaceous vegetation types at the biome borders of Northern Eurasia. In comparison, tree dominated vegetation classes in the forest belt of the region were accurately mapped, but were slightly overestimated (10%-20%), in all maps. Low agreement of global maps in the northern and southern vegetation transition zones of Northern Eurasia is likely to have important implications for global change research, as those areas are vulnerable to both climate and socio-economic changes. (C) 2011 Elsevier Inc. All rights reserved.Keywords: Land cover, MODIS, Eurasia, Global, Validation, GLC-2000, LCCS, GLOBCOVERKeywords: Land cover, MODIS, Eurasia, Global, Validation, GLC-2000, LCCS, GLOBCOVE
Germline MSH2 and MLH1 mutational spectrum in HNPCC families from Poland and the Baltic States.
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Survival of hereditary non-polyposis colorectal cancer patients compared with sporadic colorectal cancer patients
<p>Abstract</p> <p>Background</p> <p>Patients with hereditary non-poliposys colorectal cancer (HNPCC) have better prognosis than sporadic colorectal cancer (CRC). Aim of our retrospective study was to compare the overall survival between sporadic CRC and HNPCC patients.</p> <p>Methods</p> <p>We analyzed a cohort of 40 (25 males and 15 females) HNPCC cases with a hospital consecutive series of 573 (312 males and 261 females) sporadic CRC observed during the period 1970–1993. In 15 HNPCC patients we performed mutational analysis for microsatellite instability. Survival rates were calculated by Kaplan-Meier method and compared with log rank test.</p> <p>Results</p> <p>The median age at diagnosis of the primary CRC was 46.8 years in the HNPCC series versus 61 years in sporadic CRC group. In HNPCC group 85% had a right cancer location, vs. 57% in the sporadic cancer group. In the sporadic cancer group 61.6% were early-stages cancer (Dukes' A and B) vs. 70% in the HNPCC group (p = ns). The crude 5-years cumulative survival after the primary CRC was 94.2% in HNPCC patients vs. 75.3% in sporadic cancer patients (p < 0.0001).</p> <p>Conclusion</p> <p>Our results show that overall survival of colorectal cancer in patients with HNPCC is better than sporadic CRC patients. The different outcome probably relates to the specific tumorigenesis involving DNA mismatch repair dysfunction.</p
Hydrometeorological Database (HMDB) for Practical Research in Ecology
The regional HydroMeteorological DataBase (HMDB) was designed for easy access to climate data via the Internet. It contains data on various climatic parameters (temperature, precipitation, pressure, humidity, and wind strength and direction) from 190 meteorological stations in Russia and bordering countries for a period of instrumental observations of over 100 years. Open sources were used to ingest data into HMDB. An analytical block was also developed to perform the most common statistical analysis techniques