Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Fluorescent intensity at 520 nm (RNase A/B) and 556 nm (DNase I) versus time for nucleases in DI water lysed with Lyse-It at 30% and 50% power for varying time. by Tonya M. Santaus (5559077)

“…<b>(A)</b> 20 pM RNase A <b>(B)</b> 46 pM RNase B, <b>(C)</b> 10.5 nM DNase I. As microwave power and time increase, nuclease activity decreases.…”

The decrease in OD_320nm over time in spectrophotometric ATPase activity assays. by Kai-Yin Chau (18504230)

HPLC-MS tentative identification of phenolic metabolites from the defatted extract (DE) of <i>S. malaccense</i> (SM) and <i>S. samarangense</i> (SS) leaves. by Fatma A. Moharram (9276104)

Subjects:

Design and Synthesis of Novel sEH Inhibitors for the Treatment of Inflammatory Bowel Disease by Huashen Xu (13987046)

“…Especially, lead compounds <b>A1</b> and <b>A9</b> showed potent inhibitory activities against sEH (<b>A1</b> and <b>A9</b>; hsEH IC₅₀ = 0.1 nM, msEH IC₅₀ = 0.1 nM). …”

Design and Synthesis of Novel sEH Inhibitors for the Treatment of Inflammatory Bowel Disease by Huashen Xu (13987046)

“…Especially, lead compounds <b>A1</b> and <b>A9</b> showed potent inhibitory activities against sEH (<b>A1</b> and <b>A9</b>; hsEH IC₅₀ = 0.1 nM, msEH IC₅₀ = 0.1 nM). …”

Design and Synthesis of Novel sEH Inhibitors for the Treatment of Inflammatory Bowel Disease by Huashen Xu (13987046)

“…Especially, lead compounds <b>A1</b> and <b>A9</b> showed potent inhibitory activities against sEH (<b>A1</b> and <b>A9</b>; hsEH IC₅₀ = 0.1 nM, msEH IC₅₀ = 0.1 nM). …”

Design and Synthesis of Novel sEH Inhibitors for the Treatment of Inflammatory Bowel Disease by Huashen Xu (13987046)

“…Especially, lead compounds <b>A1</b> and <b>A9</b> showed potent inhibitory activities against sEH (<b>A1</b> and <b>A9</b>; hsEH IC₅₀ = 0.1 nM, msEH IC₅₀ = 0.1 nM). …”

Results isoprenaline (30nM) experiment. by L. Cao (3526226)

Conditional <i>Aff4</i> knockout decreases fat mass in mice. by Yaqian Chen (1711576)

Affinity analysis results (with a confidence level above 50%). by Marta R. Jabłońska (8491404)

Far-UV CD spectra from 180nm to 260nm for blank HSA and HSA in Abraxane and self-made nanoparticles. by Yue Gao (263086)

Discovery of Triazolyl Derivatives of Cucurbitacin B Targeting IGF2BP1 against Non-Small Cell Lung Cancer by Fan-Fan Shang (16953264)

Subjects:

Data-Driven Tool for Cross-Run Ion Selection and Peak-Picking in Quantitative Proteomics with Data-Independent Acquisition LC–MS/MS by Binjun Yan (17310633)

“…Proteomics provides molecular bases of biology and disease, and liquid chromatography–tandem mass spectrometry (LC–MS/MS) is a platform widely used for bottom-up proteomics. …”

Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. malaccense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

Subjects:

Total ion chromatogram (TIC) obtained from HPLC-MS of the defatted aqueous methanol extract of <i>S. samarangense</i> leaves in (A) positive and (B) negative ionization modes. by Fatma A. Moharram (9276104)

Subjects:

Genes whose expression was decreased by 100 nM ouabain by more than 1.3-fold. by Larisa V. Smolyaninova (3600053)

Stimulation results changing the shape of the stimulus pulse with rhythmic stimulation. by Felipe A. Torres (11210983)

SO down-peak locked results with different stimulation type. by Felipe A. Torres (11210983)