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Full-Text Articles in Life Sciences

Diversity, Equity And Inclusion In Human-Animal Interaction, Nira Grynheim Nov 2021

Diversity, Equity And Inclusion In Human-Animal Interaction, Nira Grynheim

Discovery Undergraduate Interdisciplinary Research Internship

No abstract provided.


Diversity, Equity And Inclusion In Human-Animal Interaction, Nira N. Grynheim, Clare E. Jensen, Marguerite L. O'Haire Nov 2021

Diversity, Equity And Inclusion In Human-Animal Interaction, Nira N. Grynheim, Clare E. Jensen, Marguerite L. O'Haire

Discovery Undergraduate Interdisciplinary Research Internship

Human-Animal Interaction (HAI) is a growing field investigating the complex relationships humans have with animals. Human diversity in HAI, or lack thereof, may have a direct influence on the way HAI data is interpreted and presented. Previous research has studied how apparent disability, racial, sexual or other diversifying identities might affect how humans interact with the world and their pets. However, thus far, there has been little research published on how inequitable barriers towards underrepresented minorities (URM) might play a role in how HAI is studied, interpreted and presented. The present study investigated human diversity among leaders in the HAI …


Investigating The Short-Term Effects Of Cold Stress On Metabolite Responses And Metabolic Pathways In Inner-Mongolia Sanhe Cattle, Lirong Hu, Luiz F. Brito, Zaheer Abbas, Abdul Sammad, Ling Kang, Dongsheng Wang, Hongjun Wu, Airong Liu, Guiqiang Qi, Man Zhao, Yachun Wang, Qing Xu Aug 2021

Investigating The Short-Term Effects Of Cold Stress On Metabolite Responses And Metabolic Pathways In Inner-Mongolia Sanhe Cattle, Lirong Hu, Luiz F. Brito, Zaheer Abbas, Abdul Sammad, Ling Kang, Dongsheng Wang, Hongjun Wu, Airong Liu, Guiqiang Qi, Man Zhao, Yachun Wang, Qing Xu

Department of Animal Sciences Faculty Publications

Inner-Mongolia Sanhe cattle are well-adapted to low-temperature conditions, but the metabolic mechanisms underlying their climatic resilience are still unknown. Based on the 1H Nuclear Magnetic Resonance platform, 41 metabolites were identified and quantified in the serum of 10 heifers under thermal neutrality (5 °C), and subsequent exposure to hyper-cold temperature (−32 °C) for 3 h. Subsequently, 28 metabolites were pre-filtrated, and they provided better performance in multivariate analysis than that of using 41 metabolites. This indicated the need for pre-filtering of the metabolome data in a paired experimental design. In response to the cold exposure challenge, 19 metabolites associated …