Case 81, color-fundus and red-free fundus photography (A), peripapillary RNFL thickness measured by SD-OCT (B), and automated 30–2 visual field test (C). by Seong Jae Kim (4042847)

Case 6, color-fundus and red-free fundus photography (A), peripapillary RNFL thickness measured by SD-OCT (B), and automated 30–2 visual field test (C). by Seong Jae Kim (4042847)

Case 161, color-fundus and red-free fundus photography (A), peripapillary RNFL thickness measured by SD-OCT (B), and automated 30–2 visual field test (C). by Seong Jae Kim (4042847)

30-day unplanned readmission rate in otolaryngology patients: A population-based study in Thuringia, Germany by Wido Rippe (7513133)

“…Unplanned readmission had more frequently a non-surgical treatment at readmission than a surgical treatment (OR = 3.92; CI = 2.24–6.84) and needed more frequently further diagnostics (OR = 2.34; CI = 1.34–4.11). …”

Effect of downregulation of <i>Pf</i>HtrA2 levels on mitochondrial oxidative stress and mitochondrial membrane potential. by Shweta Singh (409313)

Individuals reached for HIV testing during a home-based testing campaign in rural southern Mozambique. by Elisa Lopez-Varela (10136293)

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

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

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. …”

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)

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. …”