Mean posterior estimates for parameters of interest for each simulated dataset varying across date resolution. by Leo A. Featherstone (21078333)

All-India prevalence (95% confidence interval) of no-toilet households, unimproved toilets, shared toilets, and private toilets in 2016 and 2021. Mean PC-level prevalence (PC minim... by Anoop Jain (12095423)

AI KRegression by CHIN-CHENG CHU (20718575)

Mean concentrations of sum monoterpenes and single monoterpenes: α-pinene, β-pinene, myrcene, limonene, β-(E)-ocimene, and α-terpineol obtained from the 10 distillation time (DT) f... by Valtcho D. Zheljazkov (627617)

Mean concentrations of sum cannabinoids, CBD, Cannabichromene, δ8-Tetrahydrocannabinol, δ9-Tetrahydrocannabinol, and other EO constituents (acid asters, ketone, alcohol) obtained f... by Valtcho D. Zheljazkov (627617)

Mean PCC vs. perimeter of neighboring RNA genes. by Jiahong Dong (315208)

Cells lacking Cbf11 and/or Mga2 display nutrient-responsive decrease in lipid droplet (LD) content. by Anna Marešová (14375187)

Mean PCC vs. perimeter of neighboring genes in the mouse genome. by Jiahong Dong (315208)

“…<p><b>(A)</b> Mean PCC decreases when increasing the perimeter of neighboring genes in the mouse genome, with the strongest proximity similarity observed under a perimeter of 3 neighboring genes. …”

Study Flow Diagram. by Elizabeth S. Munroe (21568166)

Provider costs for TB provision by clinical outcome (mean, calculated 95% CI) (USD 2022). by Denise Evans (288201)

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Maps showing PC-level prevalence of (A) no-toilet households, (B) unimproved toilets, (C) shared toilets, and (D) private toilets. by Anoop Jain (12095423)

RNA-seq shows non-additive decrease in transcript level of lipid metabolism genes in <i>Δmga2 Δcbf11</i> cells. by Anna Marešová (14375187)

Mean concentrations of sum sesquiterpenes and single sesquiterpenes: β-caryophyllene, α-humulene, δ-selinene, γ-cadinene, δ-cadinene, nerolidol, maaliol, germacrene D-4-ol, spathul... by Valtcho D. Zheljazkov (627617)

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. …”

Reducing Dscam1 diversity decreases adult lifespan in an exon-specific manner, Related to Fig 3. by Haiyang Dong (4783608)

Subject’s characteristics (mean ± SD). by Magdalena Podczarska-Głowacka (21560120)

The performance of eigenvectors of the covariance matrix in a model with more complex population structure. by Joshua G. Schraiber (8027060)

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Impact of including phylogenetic eigenvectors on detection of coevolution of gene-expression levels in fungi. by Joshua G. Schraiber (8027060)

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Performance of different methods for controlling confounding in Felsenstein’s worst case. by Joshua G. Schraiber (8027060)

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Relationship between different models of phenotypic covariance. by Joshua G. Schraiber (8027060)

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