Levels of pro- and anti-inflammatory cytokines in BALF. by Guoqing Meng (4669774)

Subjects:

Representative sections of HE-stained lung tissue from different groups under light microscopy(400X). by Guoqing Meng (4669774)

Subjects:

G1 cell cycle arrest and sub-G1 population induced by bortezomib/venetoclax were stronger in sLCL expressing BHRF-1, EBNA-3C, LMP-1 and NOXA. by Kam Pui Tam (19746865)

TMS recapitulates epigenetic age predictions and tissue-dependent effects identified via other technologies. by Amy Longtin (21409957)

Cerium Oxide Nanoparticle Protects Maize from Cobalt Stress: Insights from Transcriptomics and Oxidative Stress Response Analysis by Abdul Salam (3494279)

“…Taken together, this study demonstrates that CeO₂ NPs ameliorate Co toxicity in maize by preserving leaf ultrastructure, enhancing antioxidant defense and nutrient uptake, decreasing Co accumulation in roots and shoots, and providing a promising nanozyme-based approach for maize protection against Co-induced toxicity.…”

Age prediction based on spatial patterns of nodal overlap. by Tianyuan Lei (19683861)

The quality of PPG signals measured at different sensor heights. by Peter H. Charlton (11389289)

The quality of PPG signals measured in different postures: by Peter H. Charlton (11389289)

NMN improves neurological function and survival after cardiac arrest in mice. by Daiki Kaito (12514087)

NMN attenuates neuronal injury after cardiac arrest in mice. by Daiki Kaito (12514087)

Comparison of CHH methylation with varying input amounts. by Amy Longtin (21409957)

Comparison of CHH methylation with varying plexing strategies. by Amy Longtin (21409957)

Protein identification results. by Huiyang Jia (14444661)

Gene expression changes in <i>lin-15(n744)</i> starved L1-stage animals. by Ashwin Seetharaman (615458)

Gene expression changes in <i>lin-35(n745)</i> starved L3-stage animals. by Ashwin Seetharaman (615458)

Gene expression changes in <i>lin-35(n745)</i> starved L1 animals. by Ashwin Seetharaman (615458)

Comparison of percent off-target reads with varying protocol modifications. by Amy Longtin (21409957)

NMN increases SIRT3 expression at both mRNA and protein levels in the brain 6 h after cardiac arrest. by Daiki Kaito (12514087)

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”