Significant associations in the candidate gene approach. by Dai Nogimura (21445649)

Subjects:

Fig 8 - by Torsten Schober (20485754)

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

“…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)

“…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)

“…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)

“…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. …”

Rates of change in each retinal layer thickness, calculated using linear mixed models. by Jung-Tae Kim (8997767)

The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

Subjects:

The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

Subjects:

The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

Subjects:

The significance of the specific Nusselt number on a variety of factor. by Siva Sankari (2827295)

Subjects:

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.…”

Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12. by Myriam Aïche (22290591)

S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Va... by Sonsawan Sangprasert (22772538)

Diagram of the mediating model of the relationship between increased inhibition in the increase of mindfulness level and the decrease of mobile phone addiction index. by Jizhao Li (5856650)

Linear mixed-effect model determination of factors associated with changes in best-corrected visual acuity. by Jung-Tae Kim (8997767)

Suggestive significant associations in the candidate gene approach. by Dai Nogimura (21445649)

Subjects:

Global and national estimates of deaths due to <i>Klebsiella pneumoniae</i>-associated lower respiratory infections in 1990 and 2021. by Juanjuan Li (399633)

Subjects:

Comparative analysis of δ¹³C and δ¹⁵N isotopes in camelid bone and fiber using Generalized Linear and Linear Mixed Effects Models. by Sarah J. Noe (19846136)