scholarly journals Construction Resource Use of Different Types and Scales of Swine Production Facilities

Author(s):  
Peter J. Lammers ◽  
Mark S. Honeyman ◽  
Jay D. Harmon ◽  
James B. Kliebenstein ◽  
Matthew J. Helmers
2009 ◽  
Vol 25 (4) ◽  
pp. 585-593 ◽  
Author(s):  
P. J. Lammers ◽  
M. S. Honeyman ◽  
J. D. Harmon ◽  
J. B. Kliebenstein ◽  
M. J. Helmers

2014 ◽  
Vol 19 (2) ◽  
pp. 227-228
Author(s):  
Darby Murphy ◽  
Shannon Engelman ◽  
Peter C. Raynor ◽  
Gurumurthy Ramachandran ◽  
Bruce H. Alexander

2002 ◽  
Vol 20 ◽  
Author(s):  
Scott, E. Hygnstrom ◽  
Kurt, C. VerCauteren ◽  
Robert, M. Timm ◽  
Bobby, M. Corrigan ◽  
John, G. Beller ◽  
...  

2010 ◽  
Vol 103 (8) ◽  
pp. 551-561 ◽  
Author(s):  
P.J. Lammers ◽  
M.S. Honeyman ◽  
J.D. Harmon ◽  
M.J. Helmers

Inventions ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
Vitaliy A. Yemelyanov ◽  
Anton A. Zhilenkov ◽  
Sergei G. Chernyi ◽  
Anton Zinchenko ◽  
Elena Zinchenko

The paper presents data on the problems of monitoring and diagnosing the technical conditions of critical production facilities, such as torpedo ladle cars, steel ladles. The accidents with critical production facilities, such as torpedo ladle cars, lead to losses and different types of damages in the metallurgical industry. The paper substantiates the need for a mathematical study of the operation process of the noted critical production facilities. A Markovian graph has been built that describes the states of torpedo ladle cars during their operation. A mathematical model is presented that allows determining the optimal frequency of diagnostics of torpedo ladle cars, which, in contrast to the existing approaches, take into account the procedures for preventive diagnostics of torpedo ladle cars, without taking them out of service. Dependence of the utilization coefficient on the period of diagnostics of PM350t torpedo ladle cars was developed. The results (of determining the optimal period of diagnostics for PM350t torpedo ladle cars) are demonstrated. The system for automated monitoring and diagnosing the technical conditions of torpedo ladle cars, without taking them out of service, has been developed and described.


1997 ◽  
Vol 4 (1-2) ◽  
pp. 37-45 ◽  
Author(s):  
Stephen J. Reynolds ◽  
Kelley J. Donham ◽  
Jason Stookesberry ◽  
Peter S. Thorne ◽  
Periasamy Subramanian ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146616 ◽  
Author(s):  
Victor Neira ◽  
Peter Rabinowitz ◽  
Aaron Rendahl ◽  
Blanca Paccha ◽  
Shawn G. Gibbs ◽  
...  

2010 ◽  
Author(s):  
Kyle Scott Blankenship ◽  
Jason Clemn Turner ◽  
Scott Carter ◽  
Jeffory Allen Hattey

2006 ◽  
Vol 69 (11) ◽  
pp. 2576-2580 ◽  
Author(s):  
ANDRES RODRIGUEZ ◽  
PHILIPUS PANGLOLI ◽  
HAROLD A. RICHARDS ◽  
JOHN R. MOUNT ◽  
F. ANN DRAUGHON

The development of suitable intervention strategies to control Salmonella populations at the farm level requires reliable data on the occurrence and prevalence of the pathogen. Previous studies on Salmonella prevalence have focused on acquiring data from specific farm types and/or selected regions. The purpose of this study was to evaluate the distribution of this pathogen across a variety of farm types and regions in order to generate comparative data from a diverse group of environmental samples. Farm samples (n = 2,496) were collected quarterly from 18 different farms across five states (Tennessee, North Carolina, Alabama, California, and Washington) over a 24-month period. The participating farms included beef and dairy cattle operations, swine production and farrowing facilities, and poultry farms (both broiler chicken and turkey). The samples were analyzed for the presence of Salmonella by means of the U.S. Food and Drug Administration's Bacteriological Analytical Manual methods optimized for farm samples. Salmonella isolates were characterized by automated riboprinting. Salmonella serovars were recovered from 4.7% of all samples. The majority of positive findings were isolated from swine farms (57.3%). The occurrence of Salmonella was lower on dairy farms (17.9%), poultry farms (16.2%), and beef cattle farms (8.5%). The most commonly isolated serovar was Salmonella Anatum (48.4%), which was isolated notably more frequently than the next most common Salmonella serovars, Arizonae (12.1%) and Javiana (8.8%). The results of this study suggest that significant reservoirs of Salmonella populations still exist on swine production facilities and to a lesser extent in other animal production facilities. Data showed that the surrounding farm environment could be an important source of contamination.


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