scholarly journals Heat pipe testing program test plan

1980 ◽  
Author(s):  
W.B. Bienert
1980 ◽  
Vol 60 (3) ◽  
pp. 621-626 ◽  
Author(s):  
L. R. SCHAEFFER ◽  
HOON SONG ◽  
J. W. WILTON

Three methods of evaluating beef sires for weaning weight with data obtained from an organized young sire progeny testing program were compared. Information from Agriculture Canada’s National Beef Sire Monitoring Program was utilized along with computational procedures based on best linear unbiased prediction. The methods were applied to data from the Canadian Simmental Association as an illustration of the methods. A model which incorporates the proofs of the reference sires into the comparisons with test bulls was considered more appropriate than the other two models compared. The results also showed that even in an organized progeny test program, test bulls are not truly mated to cows of equal merit or across equal herd environments.


2021 ◽  
Author(s):  
Jeremy Hartvigsen ◽  
Zachary Sellers ◽  
Piyush Sabharwall
Keyword(s):  

2021 ◽  
Vol 11 (3) ◽  
pp. 155-161
Author(s):  
T. Mabuto ◽  
S. Holzman ◽  
G. Kubeka ◽  
C. J. Hoffmann

BACKGROUND: Mobile community HIV testing can effectively reach undiagnosed people living with HIV in southern Africa. Variable yield in HIV test positivity has been a challenge with high- and low-yield sites often being closely situated. We sought to test whether easy-to-identify, site-level characteristics were associated with HIV positivity yield in a routine mobile HIV testing program.METHODS: We used routine testing program test data augmented with site-level characterization, either of the community or shopping site at which HIV testing was offered. Specifically, we described the local environment and interviewed key informants to gain additional information regarding the availability of HIV and other services in the locale.RESULTS: We included 122 residential and 26 shopping sites with median HIV-positive test yields of 7.6% and 6.9%, respectively. The range for community sites was from 2 to 55% with high and low yields at geographically proximal sites. Factors related to lower income and marginalization, including informal housing and the absence of name-brand stores in shopping venues, were associated with higher HIV-positive testing yield.CONCLUSIONS: Characterization of sites, particularly identifying factors related to marginalization, lack of services, and poverty, can aid in identifying sites with higher HIV-positive yield.


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