Strategic Integration of Machine Learning in the Design of Excellent Hybrid Perovskite Solar Cells by Zhaosheng Zhang (4603021)

“…The ideal combination of descriptors and algorithms identified was MBTR + CustomCNN, with an <i>R</i>² of 0.94. …”

Identification of DEGs and GSEA in two groups. by Taole Li (20490462)

Visualization of the image segmentation and labeling pipeline for the first frame of an example movie. by Miriam Schnitzerlein (21446136)

Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions” by Zhao Xueting (21796316)

“…The Rietveld refinements were used to analyze crystal structures by the Fullprof Suite program³⁵.</p><p dir="ltr"><b>Computational details.</b> The first-principles density functional theory (DFT) calculations were performed using the Vienna ab initio simulation package (VASP)^36,37. …”

Data Sheet 2_Comprehensive analysis of regulatory B Cell related genes in prognosis and therapeutic response in lung adenocarcinoma.xlsx by Liangyu Zhang (8947964)

“…Background<p>Regulatory B cells (Bregs) are a distinct subset of B cells that play a crucial role in regulating immune responses and maintaining immune tolerance in cancerous environments. …”

Data Sheet 1_Comprehensive analysis of regulatory B Cell related genes in prognosis and therapeutic response in lung adenocarcinoma.docx by Liangyu Zhang (8947964)

“…Background<p>Regulatory B cells (Bregs) are a distinct subset of B cells that play a crucial role in regulating immune responses and maintaining immune tolerance in cancerous environments. …”

Left: Quality profile of LAFM images for 1) periplasmic (top) and 2) cytoplasmic (bottom) SecYEG. by Creighton M. Lisowski (22756444)

Table 1_ENO1-related gene signature predicts prognosis and therapeutic response in diffuse large B-cell lymphoma.docx by Wenli Yan (9235217)

“…Purpose<p>Alpha-enolase (ENO1), the enzyme catalyzing 2-phosphoglycerate conversion to phosphoenolpyruvate, is highly expressed in diffuse large B-cell lymphoma (DLBCL) and correlates with adverse clinical outcomes. …”

Fig 7 - by Debao Yuan (4691992)

From timetable spaces to networks. by Fabio Lamanna (4961875)

A global view of gene ontology (GO) terms enriched in the set of gene pairs with gain-of-correlation (GOC) in resistant (RES) but not in susceptible (SUS) phenotypes. by Fang Liu (13271)

Composite statistics of modules inferred from resistant (RES) lambs that were preserved in susceptible (SUS) lambs. by Fang Liu (13271)

Schematic of the mean-field Ising simulation evolving in time. by Rostam M. Razban (22232522)

Pt(100) surface slab + H, O, OH adsorbates structures for https://doi.org/10.1002/admi.202500680 by Renata Sechi (14553959)

“…</p><p dir="ltr">The structures are generated with a genetic algorithm.</p><p dir="ltr">Settings: dzp-LCAO basis set, PBE functional, 2x2x1 k-points grid. …”

Consensus clustering base on expression of cuproptosis genes. by Hongmin Luo (2142307)

Spatial patterns of the CAPs estimated from both splits are reproducible and strongly correlated with at least one of the basis CAPs. by Kangjoo Lee (11648345)

Entry Point byte frequency by Paul A. Gagniuc (1818325)

Gradient Boosting Trees Machine Learning Approach to Predict the Mutation Types in CaSR. by Aylin Bircan (20176049)

Spherical cap variance for LP, PCS and MSP. by Luca Maria Del Bono (20479625)

GO/ KEGG enrichment analysis and correlation analysis of 11 ferroptosis-related genes. by Fang Zhang (197215)