scholarly journals Effects of Updating Linkage Evidence across Subsets of Data: Reanalysis of the Autism Genetic Resource Exchange Data Set

2005 ◽  
Vol 76 (4) ◽  
pp. 688-695 ◽  
Author(s):  
Christopher W. Bartlett ◽  
Rhinda Goedken ◽  
Veronica J. Vieland
Keyword(s):  
Genetic Resource ◽  
Resource Exchange ◽  
Linkage Evidence ◽  
Data Set ◽  
Autism Genetic Resource Exchange ◽  
Exchange Data

scholarly journals Changing the Landscape of Autism Research: The Autism Genetic Resource Exchange

Neuron ◽  
2010 ◽  
Vol 68 (2) ◽  
pp. 187-191 ◽  
Author(s):  
Clara M. Lajonchere
Keyword(s):  
Genetic Resource ◽  
Resource Exchange ◽  
Autism Research ◽  
Autism Genetic Resource Exchange

scholarly journals The Autism Genetic Resource Exchange: A Resource for the Study of Autism and Related Neuropsychiatric Conditions

2001 ◽  
Vol 69 (2) ◽  
pp. 463-466 ◽  
Author(s):  
Daniel H. Geschwind ◽  
Janice Sowinski ◽  
Catherine Lord ◽  
Portia Iversen ◽  
Jonathan Shestack ◽  
...  
Keyword(s):  
Genetic Resource ◽  
Resource Exchange ◽  
Autism Genetic Resource Exchange ◽  
Neuropsychiatric Conditions

Search for autism loci by combined analysis of Autism Genetic Resource Exchange and Finnish families

2005 ◽  
Vol 59 (1) ◽  
pp. 145-155 ◽  
Author(s):  
Tero Ylisaukko-oja ◽  
Maricela Alarcón ◽  
Rita M. Cantor ◽  
Mari Auranen ◽  
Raija Vanhala ◽  
...  
Keyword(s):  
Genetic Resource ◽  
Resource Exchange ◽  
Combined Analysis ◽  
Autism Genetic Resource Exchange

Risk Budgeted Portfolio Optimization Using an Extended Ant Colony Optimization Metaheuristic

2012 ◽  
Vol 3 (4) ◽  
pp. 25-42 ◽  
Author(s):  
G. A. Vijayalakshmi Pai
Keyword(s):  
Ant Colony Optimization ◽  
Portfolio Optimization ◽  
Stock Exchange ◽  
Experimental Studies ◽  
Optimization Methods ◽  
Investment Strategy ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Data Set ◽  
Exchange Data

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.

scholarly journals BBGRE: brain and body genetic resource exchange

Database ◽  
2013 ◽  
Vol 2013 ◽  
Author(s):  
Joo Wook Ahn ◽  
Abhishek Dixit ◽  
Caroline Johnston ◽  
Caroline M. Ogilvie ◽  
David A. Collier ◽  
...  
Keyword(s):  
Genetic Resource ◽  
Resource Exchange

Aras

2017 ◽  
Vol 8 (2) ◽  
pp. 47-60 ◽  
Author(s):  
Mohammadhossein Barkhordari ◽  
Mahdi Niamanesh
Keyword(s):  
Big Data ◽  
Data Exchange ◽  
Data Distribution ◽  
Analysis Data ◽  
High Rate ◽  
Query Execution ◽  
Network Congestion ◽  
Single Node ◽  
Data Set ◽  
Exchange Data

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.

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
Keyword(s):  
Central America ◽  
Carbon Exchange ◽  
Data Set ◽  
Boreal Species ◽  
Exchange Data

Rotational Characteristics of the Green Solar Corona: 1947-1991

1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský
Keyword(s):  
Solar Corona ◽  
World Wide ◽  
Rotation Period ◽  
Original Data ◽  
Coronal Emission ◽  
Time Intervals ◽  
Data Set ◽  
The World ◽  
Coronal Emission Line ◽  
Homogeneous Data

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.

Difference Fourier Analysis of Glucose Embedded and Frozen Hydrated Purple Membrane

1982 ◽  
Vol 40 ◽  
pp. 74-75
Author(s):  
Jules S. Jaffe ◽  
Robert M. Glaeser
Keyword(s):  
Purple Membrane ◽  
Data Set ◽  
High Resolution Data ◽  
X Ray ◽  
X Ray Crystallography ◽  
Fourier Techniques ◽  
Versus Protein ◽  
The Difference ◽  
Difference Fourier ◽  
Ideal Method

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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