179,883 research outputs found
Organic meat marketing
No full textThis chapter discusses the marketing aspect of organic meat. Many factors influence the organic food purchase behavior and these factors are described. With organic meat being sold for high premium prices, the consumers' willingness to pay for these products is an important attribute to determine the potential of these products. Sociodemographic variables of the organic food consumers are described to get an overview of the organic consumer profile
Clement Loo
No full textLoo, C. (2023) “Climate Change and Environmental Justice.” In: Pellegrino, G. and Di Paola, M. (Eds.) Handbooks in Philosophy: Handbook of the Philosophy of Climate Change. New York: Springerhttps://digitalcommons.morris.umn.edu/cosa2023/1018/thumbnail.jp
Autour des Van Loo
No full textROLLAND Christine Autour des Van Loo : peinture, commerce des tissus et espionnage en Europe (1250-1830) Mont-Saint-Aignan : Publications des universités de Rouen et du Havre, 2012, 398 p. ISBN 978-2-87775-501-6 C 1181 Résumé éditeur : Puissante dynastie de peintres qui s’est constituée au cours des XVIIe et XVIIIe siècles, les Van Loo ont été au cœur des grands événements culturels de leur temps. Jacob Van Loo (1614-1670) a fréquenté Vermeer et Rembrandt, avant de s’enfuir vers la France et..
Clement Loo
No full textLoo, C. (2019) Participation and Food Justice in Light of Global Climate Change. In: E. Gilson and S. Kenehan (Eds.) Food, Environment, and Climate Change: Justice at the intersections. London & Littlefield, pp. 63-75.https://digitalcommons.morris.umn.edu/cosa2019/1019/thumbnail.jp
Clement Loo
No full textPoulos, H.M. Loo, C., Workman, J.G., DeBoer, A., and Michaels J. (2012) The economic contribution of instream flows to the lower Connecticut River Watershed, New England, USA. Environmental Economics 3: 93-98. http://businessperspectives.org/journals_free/ee/2012/ee_2012_3%20+Poulos.pdf.https://digitalcommons.morris.umn.edu/cosa2013/1026/thumbnail.jp
Clement Loo & Troy Goodnough
No full textLoo, C. and Goodnough, T., 2023. Resisting Colonialism within Sustainability in Higher Education: The Intercultural Sustainability Leaders Program at the University of Minnesota Morris. in: Montgomery, M.R. (Ed.) Voices of Indigenuity. Denver: University Press of Colorado, 117-126.https://digitalcommons.morris.umn.edu/cosa2024/1021/thumbnail.jp
Analysis of DVB-H network coverage with the application of transmit diversity
No full textThis paper investigates the effects of the Cyclic Delay Diversity (CDD) transmit diversity scheme on DVB-H networks. Transmit diversity improves reception and Quality of Service (QoS) in areas of poor coverage such as sparsely populated or obscured locations. The technique not only povides robust reception in mobile environments thus improving QoS, but it also reduces network costs in terms of the transmit power, number of
infrastructure elements, antenna height and the frequency reuse factor over indoor and outdoor environments. In this paper, the benefit and effectiveness of CDD transmit diversity is tackled
through simulation results for comparison in several scenarios of coverage in DVB-H networks. The channel model used in the simulations is based on COST207 and a basic radio planning
technique is used to illustrate the main principles developed in this paper. The work reported in this paper was supported by
the European Commission IST project—PLUTO (Physical Layer DVB Transmission Optimization)
Rostovtzeff. Inlaid bronzes of the Han dynasty, in the collection of C. T. Loo.
No full textCumont F. Rostovtzeff. Inlaid bronzes of the Han dynasty, in the collection of C. T. Loo.. In: Revue belge de philologie et d'histoire, tome 7, fasc. 1, 1928. pp. 284-285
Rostovtzeff. Inlaid bronzes of the Han dynasty, in the collection of C. T. Loo.
No full textCumont F. Rostovtzeff. Inlaid bronzes of the Han dynasty, in the collection of C. T. Loo.. In: Revue belge de philologie et d'histoire, tome 7, fasc. 1, 1928. pp. 284-285
Neural network prediction of aluminum-silicon carbide tensile strength from acoustic emission rise angle data
Get PDFIn this work, the ultimate strength of aluminum/silicon carbide (Al/SiC) composites was predicted by using acoustic emission (AE) parameters through artificial neural network (ANN) analysis. With this aim, a series of fourteen Al/SiC tensile samples were loaded up to the failure to investigate the amplitude distribution of AE events detected during loading. A back propagation ANN was prepared to correlate the amplitude values generated during loading up to 60% of known ultimate strength with ultimate failure strength of the samples. Three individual neural networks generated with parameters like hits, the Felicity ratio and rise angle were trained towards anticipating the ultimate strength value, which was predicted within the worst case error of -3.51 %, -4.73 %, and -2.73 %, respectively. The failure prediction accuracy by using rise angle as input was found to be slightly better, although the three neural networks all proved effective
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