Virulent <i>Ehrlichia</i> induces liver damage and fatal ehrlichiosis. by Aditya Kumar Sharma (6475922)

Adaptation of <i>B</i>. <i>subtilis</i> Rho⁺ cells to a sudden nutrient downshift. by Vladimir Bidnenko (4258573)

“…<i>subtilis</i> WT and Rho⁺ strains were cultivated in LB medium without or with RHX added at concentrations 50 and 100μg/ml in a 96-well microplate. Growth of the cultures was monitored by OD₆₀₀ measurement at the five-minute intervals using a microplate reader. …”

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using RF classifiers with average AUC socres from six... by Yilin Gao (4335571)

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using LASSO classifiers with average AUC socres from... by Yilin Gao (4335571)

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using XGBoost classifiers with average AUC socres fro... by Yilin Gao (4335571)

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using SVM classifiers with average AUC socres from si... by Yilin Gao (4335571)

Titration results for BMV-1a helix A bound to SDS micelles with 16-DSA. by Ling Liu (143030)

“…a<p>50% signal intensity decrease with the addition of less than 3.2 mM DSA.…”

The variation of voltages against different current density. by Nacer Badi (14046883)

Understanding the Effect of Platinum Particle Size on Ethane Dehydrogenation and Hydrogenolysis: Particle-Based Microkinetic Modeling at Finite Conversion by Mubarak Bello (16715843)

“…The effect of platinum particle size on the kinetics and mechanism of ethane dehydrogenation (EDH) and hydrogenolysis (EH) is elucidated using first-principles and multiscale modeling. A particle-based microkinetic modeling (PB-MKM) approach is used to couple the MKMs for individual facets, i.e., Pt(111), Pt(100), and Pt(211), into a variable-size Pt nanoparticle catalyst model. …”

Understanding the Effect of Platinum Particle Size on Ethane Dehydrogenation and Hydrogenolysis: Particle-Based Microkinetic Modeling at Finite Conversion by Mubarak Bello (16715843)

“…The effect of platinum particle size on the kinetics and mechanism of ethane dehydrogenation (EDH) and hydrogenolysis (EH) is elucidated using first-principles and multiscale modeling. A particle-based microkinetic modeling (PB-MKM) approach is used to couple the MKMs for individual facets, i.e., Pt(111), Pt(100), and Pt(211), into a variable-size Pt nanoparticle catalyst model. …”

Understanding the Effect of Platinum Particle Size on Ethane Dehydrogenation and Hydrogenolysis: Particle-Based Microkinetic Modeling at Finite Conversion by Mubarak Bello (16715843)

“…The effect of platinum particle size on the kinetics and mechanism of ethane dehydrogenation (EDH) and hydrogenolysis (EH) is elucidated using first-principles and multiscale modeling. A particle-based microkinetic modeling (PB-MKM) approach is used to couple the MKMs for individual facets, i.e., Pt(111), Pt(100), and Pt(211), into a variable-size Pt nanoparticle catalyst model. …”

Understanding the Effect of Platinum Particle Size on Ethane Dehydrogenation and Hydrogenolysis: Particle-Based Microkinetic Modeling at Finite Conversion by Mubarak Bello (16715843)

“…The effect of platinum particle size on the kinetics and mechanism of ethane dehydrogenation (EDH) and hydrogenolysis (EH) is elucidated using first-principles and multiscale modeling. A particle-based microkinetic modeling (PB-MKM) approach is used to couple the MKMs for individual facets, i.e., Pt(111), Pt(100), and Pt(211), into a variable-size Pt nanoparticle catalyst model. …”

CREB Targets Define the Gene Expression Signature of Malignancies Having Reduced Levels of the Tumor Suppressor Tristetraprolin by Mohammad Fallahi (200679)

“…These analyses defined a signature of 50 genes differentially regulated between high and low <i>TTP</i>-expressing tumors. …”

The expression of <i>SATB2</i> (A) and <i>XLOC_036765</i> (B) at the four developmental phases in Landrace and Tongcheng pigs. by Yalan Yang (735975)

<i>In vivo</i> dynamic near-infrared fluorescent imaging of A-431 tumor models. by Lingbo Zhang (132359)

“…On day 4, 8, 12 (after As₂O₃ treatment), the signal intensity of EGF-Cy5.5 uptake by control group (0 mg/kg/day As₂O₃) gradually increased, while the intensities in other three groups with different concentrations (0.5 mg/kg/day, 2.5 mg/kg/day, 5.0 mg/kg/day) of As₂O₃ treatment gradually decreased (<i>p</i><0.05). …”

cGAS deficiency promoted EV-A71- and FMDV-induced mice death. by Huisheng Liu (408091)

Identification of a Plasma Four-microRNA Panel as Potential Noninvasive Biomarker for Osteosarcoma by Feng Lian (703027)

“…These 4 miRNAs were markedly decreased in the plasma after operation. In addition, circulating miR-195-5p and miR-199a-3p were correlated with metastasis status, while miR-199a-3p and miR-320a were correlated with histological subtype.…”

S1P inhibits invasion and affects expression, secretion and activity of MMP2 and MMP9 in C643 cells. by Muhammad Yasir Asghar (423105)

S1P inhibits invasion and affects expression, secretion and activity of MMP2 and MMP9 in FTC-133 cells. by Muhammad Yasir Asghar (423105)

Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub by Ruosi Liang (14018604)

“…Process-based modeling further suggests that this practice can lead to a reduction of methane emissions by more than 50% compared to continuous flooding of rice paddies and natural wetlands.…”