Data Sheet 1_Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses.docx by Hui Zhang (7197)

“…NCAM1 also exhibited a significant methylation-level association with disease.…”

Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

“…Notably, Ga–Zn particles undergo significant migration of Zn to the surface, forming Ga–Zn oxide structures. …”

Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

“…Notably, Ga–Zn particles undergo significant migration of Zn to the surface, forming Ga–Zn oxide structures. …”

Voltage-Assisted Sonication for the Generation of Liquid Metal Particles by Nur-Adania Nor-Azman (18369256)

“…Notably, Ga–Zn particles undergo significant migration of Zn to the surface, forming Ga–Zn oxide structures. …”

Data Sheet 1_Lung microbiome alterations correlate with immune imbalance in non-small cell lung cancer.docx by Jiuling Cheng (16890546)

“…Furthermore, patients with higher abundance of Prevotella and Veillonella exhibited a significantly elevated systemic immune-inflammation index (SII) compared to the lower-abundance group (P = 0.0329), while their CD8⁺ T cell levels were significantly decreased in the higher abundance group (P = 0.0027).…”

Data Sheet 1_Increased vegetation disturbance intensity reduces soil nutrients while enhancing microbial network interactions.pdf by Boya Gao (8840498)

“…Introduction and methods<p>Vegetation disturbance intensity serves as a critical determinant of changes in soil nutrients and microbial communities. …”

Bacterium-Phage Symbiosis Facilitates the Enrichment of Bacterial Pathogens and Antibiotic-Resistant Bacteria in the Plastisphere by Rong Xia (30438)

“…The plastisphere, defined as the ecological niche for microbial colonization of plastic debris, has been recognized as a hotspot of pathogenic and antibiotic-resistant bacteria. …”

Summary of this study. by Satoshi Hara (539722)

“…The numbers in parentheses indicate the reference numbers. Panels showing significant differences are highlighted. The arrows indicate increased or decreased. …”

Neurochemical identity of dFB^23E10Ո^84C10 neurons. by Joseph D. Jones (13883524)

“…<b>(P)</b> Box plots of total sleep change in % ((total sleep on activation day-total sleep on baseline day/total sleep on baseline day) × 100) for control (<i>Empty-Split>Shi</i>^<i>ts1</i>), <i>VGlut-AD; 84C10-DBD>Shi</i>^<i>ts1</i> and <i>84C10-AD; ChAT-DBD>Shi</i>^<i>ts1</i> female flies. A Kruskal–Wallis ANOVA followed by Dunn’s multiple comparisons revealed that acutely silencing VGlut-AD; 84C10-DBD and 84C10-AD; ChAT-DBD neurons significantly decreases sleep. …”

Land use intensity classes standard. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Ablation Experiment GradCAM Heatmap. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Land use transfer matrix 1990-2020 (km²). by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Study area habitat quality LISA clustering map. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. …”

Space-to-depth convolution. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data augmentation. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data Sheet 1_Interaction between nasal epithelial cells and Tregs in allergic rhinitis responses to allergen via CCL1/CCR8.pdf by Jichao Sha (20756840)

“…In the AR + Derp1 group, TSLP was higher, and CCL1 protein levels were decreased. There were no significant differences in IL-25, TGF-β and IL-10. …”

DataSheet1_Pressure-tolerant survival mechanism of Schizophyllum commune 20R-7-F01 isolated from deep sediments 2 kilometers below the seafloor.csv by Mengshi Zhao (20157978)

“…In this study, we investigated Schizophyllum commune 20R-7-F01 isolated from coal-bearing sediments at a depth of 2 km below the seafloor. By assessing the cell viability, biomass, and cell wall thickness changes of strain 20-7-1 under different HHP conditions, we observed that, compared to 0.1 MPa, strain 20-7-1 exhibited slower growth rates and decreased cell viability at 15 MPa and 35 MPa, yet demonstrated significant pressure tolerance. …”

Side angle tea picking. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Image 1_MicroRNA-27b alleviates septic cardiomyopathy by targeting the Mff/MAVS axis.tif by Xincai Wang (7819064)

“…</p>Results<p>Bioinformatics analysis revealed significant downregulation of miR-27b in SCM cardiac tissues (log2FC=-3.9, P<0.001). …”

Data Sheet 1_Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence.zip by Jin Hwa Hong (6523928)

“…These were visualized through volcano plots and heat maps, while decision trees and random forests classified and stratified the samples.</p>Results<p>A machine learning analysis combined with box plots showed that in the copy number-high (CN-H) recurrence group, PARD6G-AS1 had decreased methylation, CSMD1 had increased methylation, and TESC expression was higher than the non-recurrence group. …”