Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on hydrogen peroxide (H₂O₂) conten... by Amal Bouallegue (21512298)

Effects of MC treatment on protein expression in DNBS-induced colitis rats. by Jin-Hwa Kim (101817)

Gene expression of the <i>hsp70Ab</i>-group and <i>hsp68</i> genes after baculovirus infection under different heat shock stimuli. by Enrique Paz-Cortés (20988196)

Effects of MC treatment on symptoms and histological changes in DNBS-induced colitis rats. by Jin-Hwa Kim (101817)

KO of iPLA₂γ attenuates development of albuminuria in STZ-induced diabetic nephropathy. by Andrey V. Cybulsky (4007012)

The performance of eigenvectors of the covariance matrix in a model with more complex population structure. by Joshua G. Schraiber (8027060)

Impact of including phylogenetic eigenvectors on detection of coevolution of gene-expression levels in fungi. by Joshua G. Schraiber (8027060)

Performance of different methods for controlling confounding in Felsenstein’s worst case. by Joshua G. Schraiber (8027060)

Myeloid knockout <i>VANGL2</i> exacerbates the progression of DSS-induced colitis in mice. by Huaji Jiang (16907514)

Down-regulation of VANGL2 in IBD patients triggers overt activation of NLRP3 inflammasome. by Huaji Jiang (16907514)

Lys823 in NLRP3 is essential for its K27-linked ubiquitination and autophagic degradation. by Huaji Jiang (16907514)

VANGL2 specifically inhibits the activation of NLRP3 inflammasome. by Huaji Jiang (16907514)

VANGL2 recruits NLRP3 to OPTN for selective autophagic degradation. by Huaji Jiang (16907514)

VANGL2 recruits MARCH8 to promote the K27-linked ubiquitination of NLRP3. by Huaji Jiang (16907514)

Podocyte numbers in control and iPLA₂γ KO mice (WT1-positive cells). by Andrey V. Cybulsky (4007012)

Trends of the temperature, precipitation, and TVDI in the Santun River Irrigation Area, Xinjiang, during 2005–2023. by Yuxin Wei (11510974)

IRE1 depletion increases chromosome instability. by Iratxe Zuazo-Gaztelu (21071939)

Structure diagram of ensemble model. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Fitting formula parameter table. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”

Test plan. by Hongqi Wang (2208238)

“…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”