Results 51 to 60 of about 4,966,594 (348)
Submodular asymmetric feature selection in cascade object detection
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. A cascade classifier has turned out to be effective in slidingwindow based real-Time object detection.
Yin, J +7 more
core +1 more source
Domesticated species are often composed of distinct populations differing in the character and strength of artificial and natural selection pressures, providing a valuable model to study adaptation.
Małgorzata Pilot +9 more
doaj +1 more source
The effect of artificial selection on phenotypic plasticity in maize
Remarkable productivity has been achieved in crop species through artificial selection and adaptation to modern agronomic practices. Whether intensive selection has changed the ability of improved cultivars to maintain high productivity across variable ...
Joseph L. Gage +39 more
semanticscholar +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
A population genetics model of marker-assisted selection [PDF]
A deterministic two-loci model was developed to predict genetic response to marker-assisted selection (MAS) in one generation and in multiple generations.
Luo, Z. W. +4 more
core
Cost-sensitive feature selection via f-measure optimization reduction
Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Feature selection aims to select a small subset from the high-dimensional features which can lead to better learning performance, lower ...
Wen, Y +10 more
core +1 more source
Partner selection for reverse logistics centres in green supply chains: a fuzzy artificial immune optimisation approach [PDF]
The design of reverse logistics networks has now emerged as a major issue for manufacturers, not only in developed countries where legislation and societal pressures are strong, but also in developing countries where the adoption of reverse logistics ...
Barnes, D., Wu, C.
core +1 more source
Review: Balancing Selection for Deleterious Alleles in Livestock
Harmful alleles can be under balancing selection due to an interplay of artificial selection for the variant in heterozygotes and purifying selection against the variant in homozygotes.
Martijn F. L. Derks +2 more
doaj +1 more source
Like other domesticates, the efficient utilization of nitrogen resources is also important for the only fully domesticated insect, the silkworm. Deciphering the way in which artificial selection acts on the silkworm genome to improve the utilization of ...
Yanan Zhu +8 more
semanticscholar +1 more source

