Researchers from Northeast Agricultural University Report Findings in Sustainable Computing (Risk Assessment of Raw Milk Quality and Safety Index System Based On Primary Component Analysis)

2019 APR 25 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Sustainability Research - Sustainable Computing have been published. According to news reporting originating in Heilongjiang, People’s Republic of China, by NewsRx journalists, research stated, “Energy risk management has lots of experience. The assessment of the quality and safety risk of raw milk is conducive to finding risk points and improving the ability to withstand risks.”

Financial supporters for this research include projects of Specialized Research Fund for the Doctoral Program of Higher Education of China, National Natural Science Foundation.

The news reporters obtained a quote from the research from Northeast Agricultural University, “The data from 2007 to 2015 on the risk of forage and feed stuffs for raw milk, breeding and reproduction, disease control, feedstuff management and market circulation assessed, and it was found that the quality and raw milk was generally at a level of basic safety. Among these risks, the risks in feeding and management and disease prevention are relatively high, while the risks in breeding and reproduction are low, and the risks in forage and market circulation are in the intermediate.”

According to the news reporters, the research concluded: “The five major categories of risks are on the rise, but overall they are at a relatively safety level.”

For more information on this research see: Risk Assessment of Raw Milk Quality and Safety Index System Based On Primary Component Analysis. Sustainable Computing Informatics and Systems, 2019;21():47-55. Sustainable Computing Informatics and Systems can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands.

Our news correspondents report that additional information may be obtained by contacting C.X. Li, Northeast Agricultural University, School of Economics and Management, Harbin 150030, Heilongjiang, People’s Republic of China.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.suscom.2018.11.006. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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