scholarly journals The properties of the cross-match estimate and split sampling

1997 ◽  
Vol 25 (6) ◽  
pp. 2410-2432 ◽  
Author(s):  
Augustine Kong ◽  
Jun S. Liu ◽  
Wing Hung Wong
Keyword(s):  
2014 ◽  
Vol 98 ◽  
pp. 649
Author(s):  
Y. Qazi ◽  
C. Parke ◽  
S. Alexopoulos ◽  
L. Matsuoka ◽  
K. Dhanireddy ◽  
...  

2019 ◽  
Vol 621 ◽  
pp. A144 ◽  
Author(s):  
P. M. Marrese ◽  
S. Marinoni ◽  
M. Fabrizio ◽  
G. Altavilla

Context. Although the Gaia catalogue on its own is a very powerful tool, it is the combination of this high-accuracy archive with other archives that will truly open up amazing possibilities for astronomical research. The advanced interoperation of archives is based on cross-matching, leaving the user with the feeling of working with one single data archive. The data retrieval should work not only across data archives but also across wavelength domains. The first step for a seamless access to the data is the computation of the cross-match between Gaia and external surveys. Aims. We describe the adopted algorithms and results of the pre-computed cross-match of the Gaia Data Release 2 (DR2) catalogue with dense surveys (Pan-STARRS1 DR1, 2MASS, SDSS DR9, GSC 2.3, URAT-1, allWISE, PPMXL, and APASS DR9) and sparse catalogues (HIPPARCOS2, Tycho-2, and RAVE 5). Methods. A new algorithm is developed specifically for sparse catalogues. Improvements and changes with respect to the algorithm adopted for DR1 are described in detail. Results. The outputs of the cross-match are part of the official Gaia DR2 catalogue. The global analysis of the cross-match results is also presented.


Transfusion ◽  
2014 ◽  
Vol 54 (12) ◽  
pp. 3075-3079 ◽  
Author(s):  
David M. Lin ◽  
Dennis Goldfinger ◽  
Qun Lu ◽  
Bridget Wallace ◽  
Dawn Kosaka-Nguyen ◽  
...  

2020 ◽  
Vol 10 (2) ◽  
pp. 1728-1732
Author(s):  
Amar Narayan Shrestha ◽  
Barun Babu Aryal ◽  
Ayusha Poudel ◽  
Shraddha Poudel ◽  
Shreya Shrestha ◽  
...  

Background: Blood transfusion is an integral part of patient management. Good transfusion practice guided by standard protocols is considered ideal for optimal use of resources and manpower. Cross-match requests disproportionate to the actual requirement causes overestimation of blood usage and potential wastage. This study aims to determine the crossmatch, transfusion, and utilization rates for blood using transfusion index, and cross-match to transfusion ratio in the various departments of the hospital for the evaluation of transfusion practices. Materials and Methods: A retrospective study was conducted using the records from the hospital blood bank for 12 months to obtain transfusion and cross-match records from various clinical units. Transfusion requests, units cross-matched, and completed transfusions were used to calculate the cross-match to transfusion ratio, and transfusion index for each department. Results: A total of 5156 units of blood were cross-matched for 3437 transfusion requests, out of which 3752 were transfused, giving a mean cross-match to transfusion ratio of 1.37. The non-usage of blood was 27.2% and the transfusion index stood at 1.09. The cross-match to transfusion ratio for the individual clinical units ranged from 1.75 (Surgery) to 1.14 (Medicine). Conclusions: The cross-match to transfusion ratio and transfusion index were within recommended ranges, showing good utilization and low blood wastage. The establishment of a blood ordering protocol via a multidisciplinary approach should be considered to further optimize blood transfusion practices.


2010 ◽  
Vol 105 (491) ◽  
pp. 1005-1013 ◽  
Author(s):  
Ruth Heller ◽  
Shane T. Jensen ◽  
Paul R. Rosenbaum ◽  
Dylan S. Small

2010 ◽  
Vol 64 (4) ◽  
pp. 299-309 ◽  
Author(s):  
Ruth Heller ◽  
Paul R. Rosenbaum ◽  
Dylan S. Small

2015 ◽  
Vol 357 (2) ◽  
Author(s):  
A. Maselli ◽  
F. Massaro ◽  
R. D’Abrusco ◽  
G. Cusumano ◽  
V. La Parola ◽  
...  
Keyword(s):  

Vox Sanguinis ◽  
1982 ◽  
Vol 43 (3) ◽  
pp. 151-168 ◽  
Author(s):  
J.R. Bove ◽  
B. Cedergreen ◽  
R.J. Davey ◽  
P.V. Holland ◽  
J.B. Henry ◽  
...  
Keyword(s):  
Red Cell ◽  
A Cell ◽  

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