Figure S1 - Human Stiff-Person Syndrome IgG Induces Anxious Behavior in Rats by Christian Geis (147358)

Original values used to build graphs. by Min Qin (123347)

“…The m⁶A-IP-qPCR assay further confirmed that <i>T. gondii</i> infection led to the decrease in the levels of m⁶A modification in the 3’UTR and 5’UTR regions of <i>TNF-α</i> mRNA. …”

Isometric muscle force, rate of force development and knee extensor neuromuscular efficiency asymmetries at different age groups by Helen L Schimidt (12819060)

“…Maximal force, rate of force development (RFD) and neuromuscular efficiency were evaluated and compared between groups and between preferred and non-preferred lower limb. Children (mean age 8.4, SD 0.7 yrs), female adults (mean age 23.2, SD 3.5 yrs) and elderly (mean age 65.9 SD 7.0 yrs) were evaluated. …”

Optogenetic suppression of M1/M2 axon terminals in POm. by Jia Qi (400499)

“…Top orange line indicates optogenetic stimulation. The data in S5C-S5E Fig can be found in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001896#pbio.3001896.s008" target="_blank">S1 Data</a>.…”

Scleral morphological changes in P84 APC^min mice and age-matched normal WT littermates. by Zhen Liu (74646)

“…All mRNA levels are normalized to the control level of WT in P84 (mean ± SD, n = 5, *<i>P</i> < 0.05, **<i>P</i> < 0.01).…”

Profiling strategy for analysis of heme-responsive genes. by Scott Severance (244896)

“…The expression of 288 genes was either increased or decreased in response to heme by at least 1.6 fold.…”

Correlating the rheological and magneto-optical properties of cobalt substituted magnetite ferrofluids (CoxFe1?xFe2O4) with theoretical studies by Babukutty, B.

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Analysis of inflammatory and metabolic biomarkers in patients submitted to abdominoplasty after bariatric surgery by Miguel Luiz Antônio Modolin (6797951)

The importance of paraoxonase 1 activity in chronic kidney disease by Elisabeth C. Samouilidou (19023087)

Hyperelastic tape modifies the kinematics of the pronated foot in young women: self-controlled clinical trial by Maikon Gleibyson Rodrigues dos Santos (10438938)

raw data-Dryad.xlsx by Hui-chen Lo (17620320)

Pial arteriolar dilatory responses to ACh and NMDA are significantly impaired during ECM and can be partially restored by BH4 supplementation. by Peng Kai Ong (424201)

“…<p><b>A</b>: Mean arteriolar vessel diameters before compound superfusion in all studies. …”

HMGB1 induces Src activation. by Mengchen Zou (725646)

“…EA.hy926 cells were plated in the upper part of transwell chambers until the formation of a tight monolayer. The cells were preincubated with 1, 2.5, 5, 10 or 20μM PP2 (upper) or 0.5, 1, 2.5, 5 or 10 μM CGP77675 (lower) for 1 h, respectively. …”

Platelets span gaps between protein micropatterns. by Ashley Kita (200234)

“…Scale bars denote 5 µm. Error bars represent standard error of the mean. …”

El Desarme Arancelario de los Productos Industriales by Cesar Duch (19468411)

shared data.sav by Andres Blanco-Di Matteo (14111457)

Effects of Combined Application of Biogas Slurry and Chemical Fertilizer on Soil Aggregation and C/N Distribution in an Ultisol by Xuebo Zheng (3710500)

“…Both mean weight diameter and geometric mean diameter were highest in T5, which improved soil aggregation stability as well as resulted in significantly higher SOC and TN concentrations and storage in MSAs >0.5 mm that constituted 72–82% of MSAs. …”

Recycled Polypropylene Fibres for Reinforcing Cement Mortar under Arid Conditions by Bendjillali, Khadra

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Experimental study on flexural creep of self-compacting concrete reinforced with vegetable and synthetic fibers by Amouri Chahinez (16561624)

“…Moreover, the plant fibers were previously subjected to two treatments separately; the first involves immersing them in a 5% alkaline solution of NaOH (HN and DN) and the second in a solution of the polymer styrene-butadiene rubber (SBR) (HS and DS). …”

Supplementary material for 'Automatic pavement texture recognition using lightweight few-shot learning' by Shuo Pan (16488046)

“…Comparative experiments show that the lightweight model with GAP implemented on dense layers and one-dimensional convolution on convolutional layers reduced storage volume by 94% and training time by 99%, despite a 2.9% decrease in classification accuracy. Moreover, the model with only GAP implemented on dense layers achieved the highest accuracy at 93.5%, while reducing storage volume and training time by 83% and 6%, respectively.This article is part of the theme issue 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.…”