Regional Volume Decreases in the Brain of <i>Pax6</i> Heterozygous Mutant Rats: MRI Deformation-Based Morphometry - Fig 5 by Kotaro Hiraoka (812730)

Inhibition of the TrkA signaling reduces the A/PR8-induced airway inflammation. by Vikram Verma (13822961)

Impact of plasma ratio (0%, 50%, or 100%) on cellular response after UVA irradiation (2 J/cm²). by Marie Laulhé (6416483)

Standardized differences between the unweighted SCAPIS participants and weighted SCAPIS participants standardized to match the target population on individual and neighborhood-leve... by Carl Bonander (5563244)

Gene ontology for H2A.Z enriched peaks in control siRNA-treated cells compared to CFDP1 siRNA-treated cells. by Gokul Gopinathan (7930679)

Children’s Quality of Life Based on the KIDSCREEN-27: Child Self-Report, Parent Ratings and Child-Parent Agreement in a Swedish Random Population Sample by Anne H. Berman (615685)

“…<div><p>Background</p><p>The KIDSCREEN-27 is a measure of child and adolescent quality of life (QoL), with excellent psychometric properties, available in child-report and parent-rating versions in 38 languages. …”

(a) Firmness and (b) shelf life of Redlands Joy strawberry fruit arising from unassisted self-pollination (Autogamy) or hand-pollination with self-pollen (Self) or cross-pollen fro... by Cao Dinh Dung (11401910)

Virucidal activity of vaginal acids against HSV-2 and HPV-16. by Muriel Aldunate (22411177)

HF prediction model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

Skin temperature model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

Raw data of each parameter. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

Feeling of physical fatigue model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

Skin temperature prediction model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

HF model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

HR model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

LF/HF model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

LF/HF prediction model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

HR prediction model parameters. by Miho Iwasaki (22553084)

“…We precisely estimated the accumulated effects (load) of repeated temperature steps using a Bayesian state–space model, and distinguished them from the direct effects of environmental changes. …”

Points represent regions where the cluster coefficient was significantly larger in HC compared to MCI, at sparsity level of 0.15. by Therese M. Gilligan (7460906)

Box and whisker plots of measures of data dispersion: CV (left) and SD (right). by Andreas B. Gevaert (4884949)