Search alternatives:
ppm decrease » _ decrease (Expand Search), pa decreased (Expand Search), 026 decrease (Expand Search)
non decrease » point decrease (Expand Search), note decreased (Expand Search), fold decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
ppm decrease » _ decrease (Expand Search), pa decreased (Expand Search), 026 decrease (Expand Search)
non decrease » point decrease (Expand Search), note decreased (Expand Search), fold decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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114083
Image_1_Effects of different manganese sources on nutrient digestibility, fecal bacterial community, and mineral excretion of weaning dairy calves.pdf
Published 2023“…The aim of this study was to clarify the effects of different manganese (Mn) sources in basal diets on nutrient apparent digestibility, fecal microbes, and mineral elements excretion before and after weaning.</p>Methods<p>A total of 15 Holstein heifer calves (6-week-old, 82.71 ± 1.35, mean ± standard error) were randomly designed into three groups (five each): no extra Mn supplemented (CON), 20 mg Mn/kg (dry matter basis) in the form of chelates of lysine and glutamic acid in a mixture of 1:1 (LGM), and 20 mg Mn/kg (dry matter basis) in the form of MnSO<sub>4</sub>. …”
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114084
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114085
Image_2_Effects of different manganese sources on nutrient digestibility, fecal bacterial community, and mineral excretion of weaning dairy calves.pdf
Published 2023“…The aim of this study was to clarify the effects of different manganese (Mn) sources in basal diets on nutrient apparent digestibility, fecal microbes, and mineral elements excretion before and after weaning.</p>Methods<p>A total of 15 Holstein heifer calves (6-week-old, 82.71 ± 1.35, mean ± standard error) were randomly designed into three groups (five each): no extra Mn supplemented (CON), 20 mg Mn/kg (dry matter basis) in the form of chelates of lysine and glutamic acid in a mixture of 1:1 (LGM), and 20 mg Mn/kg (dry matter basis) in the form of MnSO<sub>4</sub>. …”
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114086
Table_2_Effects of different manganese sources on nutrient digestibility, fecal bacterial community, and mineral excretion of weaning dairy calves.pdf
Published 2023“…The aim of this study was to clarify the effects of different manganese (Mn) sources in basal diets on nutrient apparent digestibility, fecal microbes, and mineral elements excretion before and after weaning.</p>Methods<p>A total of 15 Holstein heifer calves (6-week-old, 82.71 ± 1.35, mean ± standard error) were randomly designed into three groups (five each): no extra Mn supplemented (CON), 20 mg Mn/kg (dry matter basis) in the form of chelates of lysine and glutamic acid in a mixture of 1:1 (LGM), and 20 mg Mn/kg (dry matter basis) in the form of MnSO<sub>4</sub>. …”
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114087
Data_Sheet_1_Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study.docx
Published 2020“…<p>Diagnosing Alzheimer’s disease (AD) in the preclinical stage offers opportunities for early intervention; however, there is currently a lack of convenient biomarkers to facilitate the diagnosis. …”
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114088
Data_Sheet_2_Machine learning approach to classifying declines of physical function and muscle strength associated with cognitive function in older women: gait characteristics base...
Published 2024“…Background<p>The aging process is associated with a cognitive and physical declines that affects neuromotor control, memory, executive functions, and motor abilities. …”
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114089
datasheet1_Phenotypical Changes of Hematopoietic Stem and Progenitor Cells in Sepsis Patients: Correlation With Immune Status?.docx
Published 2021“…Our results may provide a novel diagnostic indicator and a new therapeutic approach.…”
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114090
Image_2_Osmoregulation in the Plotosidae Catfish: Role of the Salt Secreting Dendritic Organ.pdf
Published 2018“…Cl<sup>-</sup> levels were better regulated and the resulting strong ion ratio in BW suggests a metabolic acidosis. Elevated DO heat shock protein 70 levels in HSW fish indicate a cellular stress. …”
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114091
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114092
Data_Sheet_2_Machine learning approach to classifying declines of physical function and muscle strength associated with cognitive function in older women: gait characteristics base...
Published 2024“…Background<p>The aging process is associated with a cognitive and physical declines that affects neuromotor control, memory, executive functions, and motor abilities. …”
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114093
Table_3_Effects of different manganese sources on nutrient digestibility, fecal bacterial community, and mineral excretion of weaning dairy calves.pdf
Published 2023“…The aim of this study was to clarify the effects of different manganese (Mn) sources in basal diets on nutrient apparent digestibility, fecal microbes, and mineral elements excretion before and after weaning.</p>Methods<p>A total of 15 Holstein heifer calves (6-week-old, 82.71 ± 1.35, mean ± standard error) were randomly designed into three groups (five each): no extra Mn supplemented (CON), 20 mg Mn/kg (dry matter basis) in the form of chelates of lysine and glutamic acid in a mixture of 1:1 (LGM), and 20 mg Mn/kg (dry matter basis) in the form of MnSO<sub>4</sub>. …”
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114094
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114096
image1_Phenotypical Changes of Hematopoietic Stem and Progenitor Cells in Sepsis Patients: Correlation With Immune Status?.jpg
Published 2021“…Our results may provide a novel diagnostic indicator and a new therapeutic approach.…”
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114097
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114098
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114099
DataSheet_1_Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models.docx
Published 2024“…Midwest has not been found. This study presents a two-year field experiment carried out in Eastern Nebraska, USA, to estimate AGB of five different cover crop species [canola (Brassica napus L.), rye (Secale cereale L.), triticale (Triticale × Triticosecale L.), vetch (Vicia sativa L.), and wheat (Triticum aestivum L.)] using high-throughput phenotyping and Machine Learning (ML) models. …”
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114100