Spearman correlation matrix analysis of the RAAS system and glucose metabolism indexes in hypertensive (A) and normotensive (B) patients. by Ningning Wang (560944)

Box plots to show various parameters of GI motility determined from AB larvae at 7 dpf that were fed a standard diet (SD). by Jessica C. M. Hui (20370522)

Estimated prevalence (A), DALYs (B), and mortality (C) rates of IBD in different age subgroups of WCBA by 2040. by Jiefeng Zhao (9090305)

(A) Time spent in light compartment, (B) Number of transitions between compartments, (C) Number of head pokes to light compartment for light-dark compartment test. by Hammad Ismail (4227988)

The estimation of the home range and core activity area of a female red panda released into the wild. by Yanshan Zhou (14131359)

Alp5a and Alp5b are not individually required for asexual blood stage propagation, but simultaneously, they are indispensable for parasite viability. by Aastha Varshney (22601181)

“…The data are presented as the mean ± SEM, with no significant differences (P = 0.9864; one-way ANOVA). …”

TBSS results showing significant AxD and RD changes at baseline and the follow-up. by Sewon Lim (21989785)

“…The decreased diffusivity metrics (AxD and RD) exhibited no statistically significant differences at <i><i>P</i></i> < 0.05 after correcting for multiple comparisons (FWE). …”

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.…”

Effect of inhibitors on the growth of <i>P. falciparum</i> and <i>P. berghei</i> blood stage parasites. by Aastha Varshney (22601181)

“…The number of ring stages significantly decreased in the CK-666-treated groups (***P = 0.0008; one-way ANOVA). …”

(A) Beta-diversity non-metric multidimensional scaling (NMDS) analysis at genus level, and (B) LEfSe for bacterial species biomarkers representing control vs. stroke groups. by Duangnapa Roongpiboonsopit (12829198)

The enzyme activity of GCN2 in <i>H. armigera.</i> by Caihong Zhang (1633294)

Primers used in present study. by Razia Liaqat (17873634)

“…Interleukin-10 levels were significantly elevated in all treatments except in the positive control (+ve A0). …”

AVAcore placement. by Jacob P. Rastas (20642173)

These subfigures show a visualization of the context embeddings for the DSVAE model with LS=2=4,CS=2. The first subfigure from the left shows three patient clusters, the second sub... by Eloy Geenjaar (21533195)

Analysis of the difference in overall bacterial community structure in each group. by Shudan Liu (7049483)

S1 File - by Jacob P. Rastas (20642173)

“…<div><p>Temperature regulation in dogs is significantly impaired during general anesthesia. Glabrous skin on paws may facilitate thermoregulation from this area and is a potential target for interventions attenuating hypothermia. …”

Effects of pre-medication and warming device on heart rate (HR) assessed by pulse oximetry in dogs following pre-medication, induction and inhalant anesthesia. by Jacob P. Rastas (20642173)

Times to tracheal extubation, sternal recumbency and standing (minutes) following inhalant anesthesia and final rectal temperatures (°C) in each premedication-treatment group. by Jacob P. Rastas (20642173)

The involvement of GCN2 in eIF2 phosphorylation and <i>HaCAD, HaABCC2 and HaABCC3</i> expression. by Caihong Zhang (1633294)