Showing 101,121 - 101,140 results of 102,006 for search '(( 12 wt decrease ) OR ( 5 ((((we decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 1.46s Refine Results
  1. 101121

    Table_1_Tryptophan Supplementation Enhances Intestinal Health by Improving Gut Barrier Function, Alleviating Inflammation, and Modulating Intestinal Microbiome in Lipopolysaccharid... by Guangmang Liu (679177)

    Published 2022
    “…The community bar chart showed that Trp supplementation to LPS-challenged pigs increased the relative abundance of Anaerostipes (P < 0.05) and tended to increase the relative abundance of V9D2013_group (P = 0.09), while decreased the relative abundance of Corynebacterium (P < 0.05) and unclassified_c__Bacteroidia (P < 0.01). …”
  2. 101122

    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... by Bohyun Kim (4768821)

    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. …”
  3. 101123

    Table_3_Effects of different manganese sources on nutrient digestibility, fecal bacterial community, and mineral excretion of weaning dairy calves.pdf by Huimin Ji (8641476)

    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>. …”
  4. 101124
  5. 101125

    DataSheet_1_Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models.docx by Geng Bai (17748969)

    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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