General technical specification for GW154/6700. by Weidong Ji (129916)

“…Generally speaking, there is no clear linear relationship between scores and the other variables. 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.…”

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

Subjects:

Sex-based differences for combinations of brain regions and cell types, based on Mann-Whitney U-test. by Arttu Autio-Kimura (20454681)

Subjects:

Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

Subjects:

Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Subjects:

Box plots for subsets of female originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Subjects:

Box plots for subsets of male originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

Subjects:

Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

Subjects:

Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)

Subjects:

Principal Component Analysis (PCA) to illustrate the distribution of the significant lipid metabolites among the groups (NL, SS and MASH). by Laia Bertran (3685147)

Comparative analysis of macronutrient compositions between baseline and end of intervention (*p < 0.05, ^ns Non-significant results). by Duc Tran Quang (20564967)

Comparative analysis of caloric intake between baseline and end of intervention (*p < 0.05, ^ns Non-significant results). by Duc Tran Quang (20564967)

Results of RF regression model validation and significance of influencing factors (desert area change and spatiotemporal characteristics of ERI). by Mingyue Sun (4638535)

Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

Subjects:

Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

Subjects:

Supplementary Material for: Decreased Quality of Life in patients who desire Body Contouring Surgery after Bariatric Metabolic Surgery: A multicenter longitudinal analysis by Dijkhorst P.J. (20584910)

Detecting neural spikes by thresholding. by Ariel Burman (20329776)

Subjects:

Supplementary Material for: Allopurinol Use is Associated With Decreased Incidence of Hepatic Decompensation and Overall Mortality Among Individuals With Cirrhosis: a Propensity-ma... by figshare admin karger (2628495)

“…Background: Cirrhosis is associated with significant morbidity and mortality. Recent studies have highlighted the potential role of allopurinol in reducing the incidence of hepatic decompensation among individuals with cirrhosis. …”

Splenocytes from Tcj2 mRNA LNP—Immunized mice decrease <i>T</i>. <i>cruzi</i> infection <i>in vitro</i>. by Leroy Versteeg (4248760)

Table 1_A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity.xls by Wen Wang (6570)

“…</p>Conclusion<p>Our findings indicate that α-conotoxin [D1G, ΔQ14] LvIC significantly decreased locomotor activity in mice. Additionally, it altered gene expression primarily in areas related to neuronal development, synapse formation, and neuron activity, while also reducing synapse strength. …”