Synthesis and Biological Evaluation of Peripheral 5HT_2B Antagonists for Liver Fibrosis by Jihyeon Yoon (8705706)

“…Furthermore, <b>19c</b> did not significantly inhibit hERG and cytochrome P450 enzymes. …”

Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study by Feiying You (22119041)

“…Machine learning analysis suggests that increasing the HOMO–LUMO gap or the charge on the boron atom or decreasing the charge of the nitrogen atom will reduce the reaction energies. …”

Analyses of LMP1 pathway inhibition effects on Burkitt B cell metabolome remodeling. by Eric M. Burton (3805291)

Detection of GalNAc receptors in amniotic tissue-Galectin-3. by Lu Wang (45927)

Mutant analysis reveals both SbmA and MgtC are important for mitigating the biofilm disruption potential of bac7. by Robert L. Beckman I.V (22784303)

Transcriptional insight reveals complex mechanism of killing and biofilm disruption. by Robert L. Beckman I.V (22784303)

The impact mechanisms of digital literacy. by Tian Liu (78007)

“…The findings reveal that improving digital literacy among rural households significantly increases their family income, a result that remains robust even after considering endogeneity issues. …”

Descriptive statistics of key variables. by Tian Liu (78007)

“…The findings reveal that improving digital literacy among rural households significantly increases their family income, a result that remains robust even after considering endogeneity issues. …”

First stage of IV estimation. by Tian Liu (78007)

“…The findings reveal that improving digital literacy among rural households significantly increases their family income, a result that remains robust even after considering endogeneity issues. …”

IV estimation results. by Tian Liu (78007)

“…The findings reveal that improving digital literacy among rural households significantly increases their family income, a result that remains robust even after considering endogeneity issues. …”

Importance of the predictor variables for estimating AGB using a random forest model. by Kasip Tiwari (22232186)

Metabolite changes between pathways in <i>Salmonella</i> cells in biofilm and planktonic states. by Yuliany Guillín (20614081)

The role of the Ccl6/Ccr2 axis in macrophage migration, M2 polarization, and renal fibrosis following AKI. by Xin Zheng (104081)

Expression of ‘muscle’ genes in the tendon during early postnatal development. by Heather L. Dingwall (14573796)

Bioclimatic variables used for MaxEnt modeling. by Dong-Joo Kim (1797640)

“…Under the SSP2-4.5 scenario, potential suitable area for <i>S. koreana</i> increased, while those for <i>B. ermanii</i>, <i>T. cuspidata</i> decreased by the 2090s. Under the SSP5-8.5 scenario, suitable areas for <i>S. koreana</i>, <i>B. ermanii</i>, <i>T. cuspidata</i> decreased by 33.6%, 98.9%, and 90.1%, respectively. …”

Model results for sandfly species. by Aimee L. Massey (20947913)

Changes in average weekly pain score on a numeric rating scale and the patient’s global impression of change after intravenous lidocaine infusion. by Min Liu (45756)

Knockdown of <i>fhplk1</i> disrupts growth and cell proliferation in juvenile <i>Fasciola hepatica in vitro.</i> by Paul McCusker (634425)

“…<b>(C)</b> Mean # EdU⁺ nuclei ±SEM significantly decreased after four weeks of <i>fhplk1</i> dsRNA treatments in juvenile <i>F. hepatica</i> (n ≥ 15 for each treatment; Mann-Whitney U test). …”

Selection flow chart of study participants. by Jiamin Yan (13214770)

“…In contrast, these associations were not statistically significant among those with ideal sleep duration (heating: HR: 1.13, 95% CI: 0.77–1.65, P = 0.537; cooking: HR: 1.28, 95% CI: 0.90–1.81, P = 0.165).…”

<i>C. albicans</i> GPxs localize to the plasma membrane and cytoplasm. by Kara A. Swenson (19924031)