scholarly journals LCE: leaf carbon exchange data set for tropical, temperate, and boreal species of North and Central America

Ecology ◽  
2017 ◽  
Vol 98 (11) ◽  
pp. 2978-2978 ◽  
Author(s):  
Nicholas G. Smith ◽  
Jeffrey S. Dukes
2012 ◽  
Vol 3 (4) ◽  
pp. 25-42 ◽  
Author(s):  
G. A. Vijayalakshmi Pai

Risk Budgeted portfolio optimization problem centering on the twin objectives of maximizing expected portfolio return and minimizing portfolio risk and incorporating the risk budgeting investment strategy, turns complex for direct solving by classical methods triggering the need to look for metaheuristic solutions. This work explores the application of an extended Ant Colony Optimization algorithm that borrows concepts from evolution theory, for the solution of the problem and proceeds to compare the experimental results with those obtained by two other Metaheuristic optimization methods belonging to two different genres viz., Evolution Strategy with Hall of Fame and Differential Evolution, obtained in an earlier investigation. The experimental studies have been undertaken over Bombay Stock Exchange data set (BSE200: July 2001-July 2006) and Tokyo Stock Exchange data set (Nikkei225: July 2001-July 2006). Data Envelopment Analysis has also been undertaken to compare the performance of the technical efficiencies of the optimal risk budgeted portfolios obtained by the three approaches.


Author(s):  
Mohammadhossein Barkhordari ◽  
Mahdi Niamanesh

Because of to the high rate of data growth and the need for data analysis, data warehouse management for big data is an important issue. Single node solutions cannot manage the large amount of information. Information must be distributed over multiple hardware nodes. Nevertheless, data distribution over nodes causes each node to need data from other nodes to execute a query. Data exchange among nodes creates problems, such as the joins between data segments that exist on different nodes, network congestion, and hardware node wait for data reception. In this paper, the Aras method is proposed. This method is a MapReduce-based method that introduces a data set on each mapper. By applying this method, each mapper node can execute its query independently and without need to exchange data with other nodes. Node independence solves the aforementioned data distribution problems. The proposed method has been compared with prominent data warehouses for big data, and the Aras query execution time was much lower than other methods.


mSphere ◽  
2017 ◽  
Vol 2 (2) ◽  
Author(s):  
Ana S. Gonzalez-Reiche ◽  
Martha I. Nelson ◽  
Mathew Angel ◽  
Maria L. Müller ◽  
Lucia Ortiz ◽  
...  

ABSTRACT Recent outbreaks of highly pathogenic H7N3, H5Nx, and H7N8 avian influenza viruses in North America were introduced by migratory birds, underscoring the importance of understanding how wild birds contribute to the dissemination and evolution of IAVs in nature. At least four of the main IAV duck host species in North America migrate through or overwinter within a narrow strip of Central America, providing opportunities for diverse IAV lineages to mix and exchange gene segments. By obtaining whole-genome sequences of 68 IAV isolates collected from migratory waterfowl in Guatemala (2010 to 2013), the largest data set available from Central America to date, we detected extensive viral diversity, including gene variants rarely found in North America and gene segments of Eurasian origin. Our findings highlight the need for increased IAV surveillance across the geographical span of bird migration flyways, including Neotropical regions that have been vastly undersampled to date. Over a hundred species of aquatic birds overwinter in Central America’s wetlands, providing opportunities for the transmission of influenza A viruses (IAVs). To date, limited IAV surveillance in Central America hinders our understanding of the evolution and ecology of IAVs in migratory hosts within the Western Hemisphere. To address this gap, we sequenced the genomes of 68 virus isolates obtained from ducks overwintering along Guatemala’s Pacific Coast during 2010 to 2013. High genetic diversity was observed, including 9 hemagglutinin (HA) subtypes, 7 neuraminidase (NA) subtypes, and multiple avian IAV lineages that have been detected at low levels (<1%) in North America. An unusually large number of viruses with the rare H14 subtype were identified (n = 14) over two consecutive seasons, the highest number of H14 viruses ever reported in a single location, providing evidence for a possible H14 source population located outside routinely sampled regions of North America. Viruses from Guatemala were positioned within minor clades divergent from the main North American lineage on phylogenies inferred for the H3, H4, N2, N8, PA, NP, and NS segments. A time-scaled phylogeny indicates that a Eurasian virus PA segment introduced into the Americas in the early 2000s disseminated to Guatemala during ~2007.1 to 2010.4 (95% highest posterior density [HPD]). Overall, the diversity detected in Guatemala in overwintering ducks highlights the potential role of Central America in the evolution of diverse IAV lineages in the Americas, including divergent variants rarely detected in the United States, and the importance of increasing IAV surveillance throughout Central America. IMPORTANCE Recent outbreaks of highly pathogenic H7N3, H5Nx, and H7N8 avian influenza viruses in North America were introduced by migratory birds, underscoring the importance of understanding how wild birds contribute to the dissemination and evolution of IAVs in nature. At least four of the main IAV duck host species in North America migrate through or overwinter within a narrow strip of Central America, providing opportunities for diverse IAV lineages to mix and exchange gene segments. By obtaining whole-genome sequences of 68 IAV isolates collected from migratory waterfowl in Guatemala (2010 to 2013), the largest data set available from Central America to date, we detected extensive viral diversity, including gene variants rarely found in North America and gene segments of Eurasian origin. Our findings highlight the need for increased IAV surveillance across the geographical span of bird migration flyways, including Neotropical regions that have been vastly undersampled to date.


2021 ◽  
Author(s):  
Hien X. Bui ◽  
Eric D. Maloney

Changes to the eastern North Pacific tropical intraseasonal oscillation (ISO) at the end of the 21st Century and implications for tropical cyclone (TC) genesis are examined in the Shared Socioeconomic Pathways (SSP585) scenario of the Coupled Model Intercomparison Project phase 6 (CMIP6) data set. Multimodel mean composite low-level wind and precipitation anomalies associated with the leading intraseasonal mode indicate that precipitation amplitude increases while wind amplitude weakens under global warming, consistent with previous studies for the Indo-Pacific warm pool. The eastern North Pacific intraseasonal precipitation/wind pattern also tends to shift southwestward in a warmer climate, associated with weaker positive precipitation anomalies near the coast of Mexico and Central America during the enhanced convection/westerly wind phase. Implications for the modulation of TC genesis by the leading intraseasonal mode are then explored using an empirical genesis potential index (GPI). In the historical simulation, GPI shows positive anomalies in the eastern North Pacific in the convectively enhanced phase of the ISO. The ISO’s modulation of GPI weakens near the coast of Mexico and Central America with warming, associated with a southward shift of GPI anomalies. Further examination of the contribution from individual environmental variables that enter the GPI shows that relative humidity and vorticity changes during ISO events weaken positive GPI anomalies near the Mexican coast with warming and make genesis more favorable to the southwest. The impact of vertical shear anomaly changes is also to favor genesis away from the coast. These results suggest a weaker modulation of TCs near the Mexican Coast by the ISO in a warmer climate.


1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.


Author(s):  
Jules S. Jaffe ◽  
Robert M. Glaeser

Although difference Fourier techniques are standard in X-ray crystallography it has only been very recently that electron crystallographers have been able to take advantage of this method. We have combined a high resolution data set for frozen glucose embedded Purple Membrane (PM) with a data set collected from PM prepared in the frozen hydrated state in order to visualize any differences in structure due to the different methods of preparation. The increased contrast between protein-ice versus protein-glucose may prove to be an advantage of the frozen hydrated technique for visualizing those parts of bacteriorhodopsin that are embedded in glucose. In addition, surface groups of the protein may be disordered in glucose and ordered in the frozen state. The sensitivity of the difference Fourier technique to small changes in structure provides an ideal method for testing this hypothesis.


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