Table_1_Nocebo Effects of Clinical Communication and Placebo Effects of Positive Suggestions on Respiratory Muscle Strength.DOCX by Nina Zech (3601097)

“…After risk information, a decrease was observed in three of the parameters, with the highest extend in expiratory pressure by 4.4%. …”

Departures from the balance of excitation and inhibition do not effect assembly formation. by Lisandro Montangie (8816753)

“…<p>Mean clustering coefficient, mean global efficiency and modularity versus the inhibitory multiplicative factor <i>δ</i>_inh = {0.5, 0.8, 1.2, 1.5}, which scales the overall inhibitory matrix (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1007835#sec012" target="_blank">Methods</a>). …”

Ala⁴⁸²-Ser⁴⁸³ was the key peptide bond that allowed the PP-RGD domain to become inactive. by Shigeki Suzuki (661339)

“…The bound biotinylated GRGDS peptide was valued using a streptavidin-HRP conjugated polymer. Dose-dependent decreases in biotinylated GRGDS binding to integrin αvβ3 were regressed to a sigmoid curve. …”

Silibinin and SIL inhibit HCVpp-mediated fusion. by Jessica Wagoner (148829)

“…After a 2 min-equilibration, lipid mixing was initiated by decreasing the pH to 5.0 with diluted HCl, and R₁₈ dequenching was recorded. …”

WNT enhances acinar progenitor activity through LRP6 signaling. by Lisa M. Arendt (204431)

“…(<b>I, J</b>) WNT1 expression increased acinar colonies, while reduced LRP6 expression diminished acinar colonies, when WNT1, EV, shscram, and shLRP6 expressing MECs were grown as mammospheres (<b>I</b>) or floating colonies (<b>J</b>) prior to plating on collagen (n = 5 patient samples; mean±s.e.m.). (<b>K</b>) TBX3 MCF10A cells demonstrated significantly increased expression of <i>WNT2B</i> and <i>WNT9A</i> compared with EV cells. …”

Data_Sheet_2_Exercise Capacity Is Improved by Levosimendan in Heart Failure and Sarcopenia via Alleviation of Apoptosis of Skeletal Muscle.xlsx by Di Wang (329735)

“…Therefore, levosimendan may be a potential drug for the treatment of heart failure with sarcopenia.…”

Data_Sheet_1_Exercise Capacity Is Improved by Levosimendan in Heart Failure and Sarcopenia via Alleviation of Apoptosis of Skeletal Muscle.PDF by Di Wang (329735)

“…Therefore, levosimendan may be a potential drug for the treatment of heart failure with sarcopenia.…”

Climate change dataset. by Serge Wiltshire (6597761)

“…We use downscaled climate projections from four Global Climate Models, forced by RCP 4.5, that bracket the range of likely climate change. …”

GIS input dataset. by Serge Wiltshire (6597761)

“…We use downscaled climate projections from four Global Climate Models, forced by RCP 4.5, that bracket the range of likely climate change. …”

Effect of oral potassium supplementation on urinary potassium excretion and its diagnostic value for primary aldosteronism by Ke Zhang (115386)

“…Urinary-to-serum potassium ratio (USR) decreased in 40% of patients, while it increased by 0–5, 5–10, and > 10 L/24 h in 25%, 25%, and 10% of patients, respectively. …”

Data_Sheet_1_Developmental Changes in ANS Precision Across Grades 1–9: Different Patterns of Accuracy and Reaction Time.pdf by Sergey Malykh (8395728)

“…<p>The main aim of this study was to analyze the patterns of changes in Approximate Number Sense (ANS) precision from grade 1 (mean age: 7.84 years) to grade 9 (mean age: 15.82 years) in a sample of Russian schoolchildren. …”

DataSheet_1_De Novo Glycine Synthesis Is Reduced in Adults With Morbid Obesity and Increases Following Bariatric Surgery.docx by Hong Chang Tan (9267627)

“…However, the exact mechanism responsible remains unclear and it is unknown whether hypoglycinemia is a cause or consequence of insulin resistance.</p>Objective<p>Using multiple isotopically labeled tracers, we aimed to determine the underlying kinetic changes responsible for hypoglycinemia in obesity by: 1) Comparing glycine kinetics between participants with morbid obesity (BMI ≥ 32.5 kg/m²) to those with healthy weight (BMI < 25 kg/m²), and 2) Comparing glycine kinetic changes in participants with morbid obesity after bariatric surgery.…”

Differential Development of Human Brain White Matter Tracts by Davide Imperati (207531)

“…Specifically, using a cross-sectional sample comprising 144 healthy individuals (7 to 48 years old), we applied k-means cluster analysis to separate white matter voxels based on their age-related trajectories of fractional anisotropy. …”

Representative Images of NPC1 Mutant Cells After Treatment with Various Compounds. by Zachary T. Wehrmann (301509)

Table_1_Adding scent: exploring improvements in pan trapping to monitor pollinators.docx by Madison M. Dunlap (17178190)

“…<p>Our project assessed whether adding floral scents to pan traps would increase the abundance and/or diversity of Hymenoptera sampled or decrease bycatch. We sampled insects using white pan traps containing 0.5 mL of floral scent (linalool, phenylacetaldehyde, limonene, geraniol, benzaldehyde, no scent control) per liter of trapping solution in an interior southern California natural space. …”

Table3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

“…Using an independent dataset, associations of the genes included in the signature with Overall Survival (OS) data demonstrated that patients with differential expression levels of 8 genes and 4 micro RNA's showed a statistically significant decrease in OS. We also found an independent prognostic signature for ACC with potential use in clinical practice, combining 9-gene/micro RNA features, that successfully predicted high-risk ACC cancer patients.…”

Table1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

“…Using an independent dataset, associations of the genes included in the signature with Overall Survival (OS) data demonstrated that patients with differential expression levels of 8 genes and 4 micro RNA's showed a statistically significant decrease in OS. We also found an independent prognostic signature for ACC with potential use in clinical practice, combining 9-gene/micro RNA features, that successfully predicted high-risk ACC cancer patients.…”

DataSheet2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…Using an independent dataset, associations of the genes included in the signature with Overall Survival (OS) data demonstrated that patients with differential expression levels of 8 genes and 4 micro RNA's showed a statistically significant decrease in OS. We also found an independent prognostic signature for ACC with potential use in clinical practice, combining 9-gene/micro RNA features, that successfully predicted high-risk ACC cancer patients.…”

DataSheet1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…Using an independent dataset, associations of the genes included in the signature with Overall Survival (OS) data demonstrated that patients with differential expression levels of 8 genes and 4 micro RNA's showed a statistically significant decrease in OS. We also found an independent prognostic signature for ACC with potential use in clinical practice, combining 9-gene/micro RNA features, that successfully predicted high-risk ACC cancer patients.…”

DataSheet3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…Using an independent dataset, associations of the genes included in the signature with Overall Survival (OS) data demonstrated that patients with differential expression levels of 8 genes and 4 micro RNA's showed a statistically significant decrease in OS. We also found an independent prognostic signature for ACC with potential use in clinical practice, combining 9-gene/micro RNA features, that successfully predicted high-risk ACC cancer patients.…”