Sign Up to like & get
recommendations!
0
Published in 2021 at "Animal Nutrition"
DOI: 10.1016/j.aninu.2021.04.002
Abstract: Abstract Two experiments were conducted to study the accuracy of predicting true metabolizable energy (TME) of ingredients for ducks from in vitro digestible energy (IVDE) determined with a computer-controlled simulated digestion system. Experiment 1 was…
read more here.
Keywords:
feed ingredients;
ingredients ducks;
vitro digestible;
metabolizable energy ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.105.014302
Abstract: During the outbreak of a virus, perhaps the greatest concern is the future evolution of the epidemic: How many people will be infected and which regions will be affected the most? The accurate prediction of…
read more here.
Keywords:
accuracy predicting;
time;
epidemic outbreaks;
predicting epidemic ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "European Journal of Neuroscience"
DOI: 10.1111/ejn.15143
Abstract: Falls are associated with impairment in postural control in people with Parkinson's disease (PwPD). We aimed to predict the fall risk through models combining postural responses with clinical and cognitive measures. Also, we compared the…
read more here.
Keywords:
fall risk;
low accuracy;
accuracy predicting;
external perturbations ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2021 at "Science Advances"
DOI: 10.1126/sciadv.abf9106
Abstract: Capitalizing on big data for wheat doubled the accuracy in predicting grain yield compared with current medium-sized datasets. The potential of big data to support businesses has been demonstrated in financial services, manufacturing, and telecommunications.…
read more here.
Keywords:
big data;
doubled accuracy;
wheat;
accuracy predicting ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.1017490
Abstract: The impact of genomic epistasis effects on the accuracy of predicting the phenotypic values of residual feed intake (RFI) in U.S. Holstein cows was evaluated using 6215 Holstein cows and 78,964 SNPs. Two SNP models…
read more here.
Keywords:
accuracy predicting;
heritability;
epistasis effects;
model ... See more keywords