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Stellar mass functions: methods, systematics and results for the local Universe

Monthly notices of the Royal Astronomical Society, 2016-06, Vol.459 (2), p.2150-2187

2016

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Using transfer learning to detect galaxy mergers

Monthly notices of the Royal Astronomical Society, 2018-09, Vol.479 (1), p.415-425

2018

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Neurotoxic reactive astrocytes induce cell death via saturated lipids

Nature (London), 2021-11, Vol.599 (7883), p.102-107

2021

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Knockout of reactive astrocyte activating factors slows disease progression in an ALS mouse model

Nature communications, 2020-07, Vol.11 (1), p.1-9, Article 3753

2020

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Neurotoxic Reactive Astrocytes Drive Neuronal Death after Retinal Injury

Cell reports (Cambridge), 2020-06, Vol.31 (12), p.107776, Article 107776

2020

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A 100-Year Review: Methods and impact of genetic selection in dairy cattle—From daughter–dam comparisons to deep learning algorithms

Journal of dairy science, 2017-12, Vol.100 (12), p.10234-10250

2017

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Evaluation of inbreeding depression in Holstein cattle using whole-genome SNP markers and alternative measures of genomic inbreeding

Journal of dairy science, 2013-07, Vol.96 (7), p.4697-4706

2013

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Chronic social defeat reduces myelination in the mouse medial prefrontal cortex

Scientific reports, 2017-04, Vol.7 (1), p.46548-46548, Article 46548

2017

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Evaluation of the Topology Space of DNA-Encoded Libraries

Journal of chemical information and modeling, 2023-08, Vol.63 (15), p.4641-4653

2023

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The fraction of AGNs in major merger galaxies and its luminosity dependence

Monthly notices of the Royal Astronomical Society, 2018-05, Vol.476 (2), p.2308-2317

2018

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The systematic search for z ≳ 5 active galactic nuclei in the Chandra Deep Field South

Monthly notices of the Royal Astronomical Society, 2015-04, Vol.448 (4), p.3167-3195

2015

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Predicting blood β-hydroxybutyrate using milk Fourier transform infrared spectrum, milk composition, and producer-reported variables with multiple linear regression, partial least squares regression, and artificial neural network

Journal of dairy science, 2018-05, Vol.101 (5), p.4378-4387

2018

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BASS. XXX. Distribution Functions of DR2 Eddington Ratios, Black Hole Masses, and X-Ray Luminosities

The Astrophysical journal. Supplement series, 2022-07, Vol.261 (1), p.9

2022

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Predicting daily milk yield for primiparous cows using data of within-herd relatives to capture genotype-by-environment interactions

Journal of dairy science, 2022-08, Vol.105 (8), p.6739-6748

2022

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Inclusion of herdmate data improves genomic prediction for milk-production and feed-efficiency traits within North American dairy herds

Journal of dairy science, 2019-12, Vol.102 (12), p.11081-11091

2019

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Cutting Edge: Critical Roles for Microbiota-Mediated Regulation of the Immune System in a Prenatal Immune Activation Model of Autism

The Journal of immunology (1950), 2018-08, Vol.201 (3), p.845-850

2018

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Comparison of methods to predict feed intake and residual feed intake using behavioral and metabolite data in addition to classical performance variables

Journal of dairy science, 2021-08, Vol.104 (8), p.8765-8782

2021

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Harnessing the genetics of the modern dairy cow to continue improvements in feed efficiency

Journal of dairy science, 2016-06, Vol.99 (6), p.4941-4954

2016

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Enteric methane, lactation performances, digestibility, and metabolism of nitrogen and energy of Holsteins and Jerseys fed 2 levels of forage fiber from alfalfa silage or corn silage

Journal of dairy science, 2020-07, Vol.103 (7), p.6087-6099

2020

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psfgan: a generative adversarial network system for separating quasar point sources and host galaxy light

Monthly notices of the Royal Astronomical Society, 2018-06, Vol.477 (2), p.2513-2527

2018

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Synthesis of amino-diamondoid pharmacophores via photocatalytic C-H aminoalkylation

Chemical communications (Cambridge, England), 2020-08, Vol.56 (67), p.9699-9702

2020

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Predicting dry matter intake in mid-lactation Holstein cows using point-in-time data streams available on dairy farms

Journal of dairy science, 2022-12, Vol.105 (12), p.9666-9681

2022

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Assessing different cross-validation schemes for predicting novel traits using sensor data: An application to dry matter intake and residual feed intake using milk spectral data

Journal of dairy science, 2024-10, Vol.107 (10), p.8084-8099

2024

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Anoikis evasion in inflammatory breast cancer cells is mediated by Bim-EL sequestration

Cell death and differentiation, 2015-08, Vol.22 (8), p.1275-1286

2015

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Effect of diet energy level and genomic residual feed intake on bred Holstein dairy heifer growth and feed efficiency

Journal of dairy science, 2022-03, Vol.105 (3), p.2201-2214

2022

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Stellar mass functions: methods, systematics and results for the local Universe

Using transfer learning to detect galaxy mergers

Neurotoxic reactive astrocytes induce cell death via saturated lipids

Knockout of reactive astrocyte activating factors slows disease progression in an ALS mouse model

Neurotoxic Reactive Astrocytes Drive Neuronal Death after Retinal Injury

A 100-Year Review: Methods and impact of genetic selection in dairy cattle—From daughter–dam comparisons to deep learning algorithms

Evaluation of inbreeding depression in Holstein cattle using whole-genome SNP markers and alternative measures of genomic inbreeding

Chronic social defeat reduces myelination in the mouse medial prefrontal cortex

Evaluation of the Topology Space of DNA-Encoded Libraries

The fraction of AGNs in major merger galaxies and its luminosity dependence

The systematic search for z ≳ 5 active galactic nuclei in the Chandra Deep Field South

Predicting blood β-hydroxybutyrate using milk Fourier transform infrared spectrum, milk composition, and producer-reported variables with multiple linear regression, partial least squares regression, and artificial neural network

BASS. XXX. Distribution Functions of DR2 Eddington Ratios, Black Hole Masses, and X-Ray Luminosities

Predicting daily milk yield for primiparous cows using data of within-herd relatives to capture genotype-by-environment interactions

Inclusion of herdmate data improves genomic prediction for milk-production and feed-efficiency traits within North American dairy herds

Cutting Edge: Critical Roles for Microbiota-Mediated Regulation of the Immune System in a Prenatal Immune Activation Model of Autism

Comparison of methods to predict feed intake and residual feed intake using behavioral and metabolite data in addition to classical performance variables

Harnessing the genetics of the modern dairy cow to continue improvements in feed efficiency

Enteric methane, lactation performances, digestibility, and metabolism of nitrogen and energy of Holsteins and Jerseys fed 2 levels of forage fiber from alfalfa silage or corn silage

psfgan: a generative adversarial network system for separating quasar point sources and host galaxy light

Synthesis of amino-diamondoid pharmacophores via photocatalytic C-H aminoalkylation

Predicting dry matter intake in mid-lactation Holstein cows using point-in-time data streams available on dairy farms

Assessing different cross-validation schemes for predicting novel traits using sensor data: An application to dry matter intake and residual feed intake using milk spectral data

Anoikis evasion in inflammatory breast cancer cells is mediated by Bim-EL sequestration

Effect of diet energy level and genomic residual feed intake on bred Holstein dairy heifer growth and feed efficiency

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