Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Lynne Billard"'
Autor:
Gene M. Pesti, Lynne Billard, Shu-Biao Wu, Robert A. Swick, Thi Thanh Hoai Nguyen, Natalie Morgan
Publikováno v:
Animal Nutrition, Vol 10, Iss , Pp 294-304 (2022)
In this paper, we discuss the theory behind calibration curve experiments and their application to a zinc (Zn) bioavailability study with broiler chickens. Seven replicates of 16 male commercial broiler chicks were fed starter diets for 14 days. Six
Externí odkaz:
https://doaj.org/article/24d629b9298b42a2b1457ca924022308
Publikováno v:
Axioms, Vol 12, Iss 6, p 570 (2023)
Time-series data are widespread and have inspired numerous research works in machine learning and data analysis fields for the classification and clustering of temporal data. While there are several clustering methods for univariate time series and a
Externí odkaz:
https://doaj.org/article/8e59458bcf2144e0ae90cc277448a917
Publikováno v:
Poultry Science, Vol 101, Iss 9, Pp 102004- (2022)
ABSTRACT: As the cost of research increases, mathematical models become valuable tools to answer research questions. A major application of mathematical modeling is accurate estimation of production performance, growth, and feed consumption for poult
Externí odkaz:
https://doaj.org/article/bce34942c5db4b689214e727d280003c
Autor:
Yihong Zhou, Majors J Badgett, Lynne Billard, John Hunter Bowen, Ron Orlando, Judith H Willis
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0175423 (2017)
How cuticular proteins (CPs) interact with chitin and with each other in the cuticle remains unresolved. We employed LC-MS/MS to identify CPs from 5-6 day-old adults of Anopheles gambiae released after serial extraction with PBS, EDTA, 2-8M urea, and
Externí odkaz:
https://doaj.org/article/141fa056764d4544ae6deba04b622f45
Publikováno v:
Axioms; Volume 12; Issue 6; Pages: 570
Time-series data are widespread and have inspired numerous research works in machine learning and data analysis fields for the classification and clustering of temporal data. While there are several clustering methods for univariate time series and a
Autor:
Honghe Jin, Lynne Billard
Publikováno v:
Journal of Computational and Graphical Statistics. 32:642-657