Design of the D-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Estimated mean values for light interception. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Raw data V-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Raw data D-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Global average ignition delay time of oil droplets with volume of 0.1-0.5ml. by Lei Bai (631944)

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Fractal dimension of flame based on box counting method. by Lei Bai (631944)

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Relationship between hot surface temperature and ignition delay time. by Lei Bai (631944)

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Relationship between ignition delay time and spray hole diameter. by Lei Bai (631944)

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Global average ignition delay time of oil droplets with diameter of 0.4-0.7 mm. by Lei Bai (631944)

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Relationship between fuel quantity and ignition delay time. by Lei Bai (631944)

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Experimental Conditions of Fixed Spray hole diameter. by Lei Bai (631944)

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Relationship between Hot Surface Temperature and Ignition Event. by Lei Bai (631944)

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Average ignition delay time in each temperature range. by Lei Bai (631944)

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Fractal dimension evolution of oil droplet flame under different spray hole diameter. by Lei Bai (631944)

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Evolution of flame fractal dimension of oil droplets with different volumes. by Lei Bai (631944)

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Detailed information of the observation datasets. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”

Image 3_Significance of LRFN4 in prognosis and tumor microenvironment of lung adenocarcinoma.tif by Nana Wang (533812)

Image 2_Significance of LRFN4 in prognosis and tumor microenvironment of lung adenocarcinoma.tif by Nana Wang (533812)

Image 1_Significance of LRFN4 in prognosis and tumor microenvironment of lung adenocarcinoma.jpeg by Nana Wang (533812)