STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

Correlations between perceptual bias scores, age, and autism-associated features: Simple linear regression showing a significant correlation between elevated proprioceptive bias an... by Daniel E. Lidstone (21567523)

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

Weighted Linear Regression Analysis of BRI and ASM/BMI. by Wei Huang (36889)

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:

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)

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

Trends of average ocular symptom scores during the post-challenge period. by Oumayma Arbani (21001472)

Trends of average respiratory symptom scores during the post-challenge period. by Oumayma Arbani (21001472)

Effectiveness of the proposed method to decrease chloroplast contamination. by Gabriela Madrid (11871401)

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)

A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”

Average body weight trends for the four groups during the pre-challenge period. by Oumayma Arbani (21001472)

Average body weight trends for the four groups during the post-challenge period. by Oumayma Arbani (21001472)

Loss of mammary fitness and virulence by <i>M</i>. <i>bovis</i> 0690::Tn mutant. by Aga E. Gelgie (17661720)

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ActAs and CoT prompt strategies do not result in decreased error rate for tasks with increasing complexity. by Jacqueline A. Jansen (14894276)