Effect of vermicompost and lime on Faba bean grain yield. by Beamlaku Alemayehu (20648920)

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Data for faba bean. by Beamlaku Alemayehu (20648920)

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In the first 15 days of pod fill high temperature over 30∘C decreased marketable yield for both seasons. by Miranda Y. Mortlock (20855564)

Main effects of vermicompost and lime on faba bean grain and biomass yield (t ha^-1). by Beamlaku Alemayehu (20648920)

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Vegetative response of Faba bean to the applied vermicompost and lime in non-responsive strongly acidic soils at Guagusa Shikudad district. by Beamlaku Alemayehu (20648920)

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Climate data of the study area during the experimentation Ethiopian Meteorological Service Agency (EMSA), Northwest branch, Bahir Dar, 2021. by Beamlaku Alemayehu (20648920)

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Selected soil chemical properties after harvest. by Beamlaku Alemayehu (20648920)

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Partial budget analysis. by Beamlaku Alemayehu (20648920)

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The combined effect of vermicompost and lime on soil pH and exchangeable acidity. by Beamlaku Alemayehu (20648920)

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Effect of lime and vermicompost on soil pH and Ex. by Beamlaku Alemayehu (20648920)

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Nutrient contents of vermicompost used in the experiment. by Beamlaku Alemayehu (20648920)

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Effect of Lime and Vermicompost on Soil pH and Ex. by Beamlaku Alemayehu (20648920)

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AI KRegression by CHIN-CHENG CHU (20718575)

Data Sheet 1_Non-targeted metabolomics-mediated elucidation of metabolite changes in Polygonatum kingianum during traditional steaming with black beans.zip by Haiyan Zhu (110483)

“…Compared to the raw PK, the P3 stage exhibited significant increases in saponins, total sugars, organic acids, and flavonoids by 21.29, 35.02, 49.13, and 44.76%, respectively (p < 0.05), reducing sugars showed a remarkable increase of 160.94-fold (p < 0.01), while polysaccharides decreased significantly by 43.33% (p < 0.01).…”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

Flow chart of data screening and analysis. by Yan She (8639796)