Total, free, and bound thrombin of 10,000 simulations of blood clotting over collagen/ TF under venous flow rate. by Jason Chen (15937)

Fibrin concentration of 10,000 simulations compared to experimental data of blood clotting over collagen/ TF under venous flow rate. by Jason Chen (15937)

Effect of weekly Salmonella dosages on prostate tumor development in the 5 month TRAMP prostate. by Robert A. Kazmierczak (3140379)

Increasing temperature does not increase the sensitivity of hatching to pre-incubation with rotenone for 5 d under anoxia. by Joseph A. Covi (3131166)

AICc model selection analysis of linear regressions (models presented: ΔAICc <5) describing Pacific wren territory size, countersinging rate, and body condition response variables... by Kirsten A. Wilcox (11099051)

Amagnetic ergometer (LODE, Netherlands) allowing a supine treadmill test during MRI (1.5 T). by Laurence Bal-Theoleyre (2839193)

Trend coefficients and AUC statistics across four control populations (“Pop’n 1” to “Pop’n 4”) and four warming populations (“Pop’n 5” to “Pop’n 8”), as calculated from empirical time series during the approach to criticality. Each statistical metric was calculated within fifteen-day sliding windows, throughout the pre-critical interval. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. Here, we show analyses of empirical time series performed within the sixty-day pre-critical interval. See analyses within the forty- and thirty-day pre-critical intervals in S7 Fig. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval. Negative values indicate a decreasing trend prior to local bifurcation, while positiv by Madeline Jarvis-Cross (22394247)

“…Negative values indicate a decreasing trend prior to local bifurcation, while positiv</p>…”

S5 File - by Xiaoshi Jin (15675049)

Fig 5 - by Leonardo Suveges Moreira Chaves (5554235)

Fig 5 - by Xiaoshi Jin (15675049)

Fig 5 - by Jing Jiang (130103)

Model for Rbc3a and V0a1 functions in NC cells. by Adam M. Tuttle (560137)

“…In the absence of Rbc3a (or v0a1), canonical Wnt signaling decreases early (∼11 hpf) and increases later (∼20 hpf). …”

ATP1a1 depletion does not affect expression but decreases GTP-loading of Rab27a. by Antonia E. G. Booth (602394)

Genotype frequencies of the polymorphisms <i>rs1799971</i> (OPRM1), <i>rs6296</i> (5-HT_1A) and the triallelic 5-HTT for the whole group, as well as fibromyalgia (FM) pat... by Jeanette Tour (10790855)

Multiple Autoimmune-Associated Variants Confer Decreased IL-2R Signaling in CD4⁺CD25^hi T Cells of Type 1 Diabetic and Multiple Sclerosis Patients by Karen Cerosaletti (501670)

“…To examine this question we used phosphorylation of STAT5 (pSTAT5) as a downstream measure of IL-2R signaling, and found a decreased response to IL-2 in CD4⁺CD25^hi T cells of T1D and MS, but not SLE patients. …”

Chronic dietary supplementation with kynurenic acid, a neuroactive metabolite of tryptophan, decreased body weight without negative influence on densitometry and mandibular bone biomechanical endurance in young rats - Fig 5 by Ewa Tomaszewska (4112566)

The catalase enzyme response of <i>A</i>. <i>albopictus</i> larvae decreased (1.5-fold) in response to <i>M</i>. <i>robertsii</i>-derived copper nanoparticles. by Perumal Vivekanandhan (4863484)

Additional file 5 of Single-cell profiling reveals a reduced epithelial defense system, decreased immune responses and the immune regulatory roles of different fibroblast subpopulations in chronic atrophic gastritis by Lin Lin (46073)

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.…”