IFI27 knock-down. by Darío López-García (11549524)

Evolution of dyadic behaviour over trials. by Anaëlle Cheillan (20923946)

Patient’s background. by Yuichi Matsumoto (2062300)

“…A higher neutrophil-to-lymphocyte ratio correlated with increased levels of these bacteria.</p><p>Conclusion</p><p><i>Veillonellaceae</i> and <i>Prevotellaceae</i> are potential microbial biomarkers of survival outcomes and ICI efficacy in patients with UC. …”

Changes in the separation and spread of evidence distributions induced by energy, contrast, and variability manipulations. by Medha Shekhar (19502698)

“…For all experiments, increasing energy and contrast levels increases the separation between the two stimulus categories, while increasing variability decreases the separability between the two stimulus categories. …”

Eyes as a Novel Target of Psychoactive Contaminants in Fish by Ganna Fedorova (402501)

“…This ocular accumulation significantly alters neurotransmitter levels critical to visual processing. …”

VdOMV2 infection change biological features of <i>V. dahliae.</i> by Jiamin Gao (8998730)

Chaihu Shugan San Exerts Antidepressant Effects by Regulating Glucocorticoid Metabolism in CUMS Rats and Network Pharmacology Provides Complementary Mechanistic Insights by Yusen Xu (18427027)

“…Network pharmacology was used to assist in verifying and improving the mechanism by which the active ingredients of CSGS affect the glucocorticoid metabolic pathway to exert antidepressant effects. CSGS significantly improved glucocorticoid (GC) metabolism by reducing corticosterone (CORT) levels and increasing dehydrocorticosterone (11-DHCORT) and the 11-DHCORT/CORT ratio in plasma and PFC. …”

Parameters of each algorithm. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Experimental program and test results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Model verification results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Example of orthogonal initialization. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Model verification results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Compares the optimization results. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Analysis of variance model. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Analysis model of determinable coefficient. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Comprehensive analysis model. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Before and after optimization design variables. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Experimental flow chart. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Horizontal coding of milling parameters. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”

Baseline test equations. by Nanqi Li (11640083)

“…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …”