Data Sheet 1_Crop rotation complexity affects soil properties shaping antibiotic resistance gene types and resistance mechanisms.docx by Rong Hu (153724)

“…Our findings revealed that soil properties varied significantly with crop rotation regime and complexity. …”

Data Sheet 1_The co-occurrence patterns and assembly mechanisms of microeukaryotic communities in geothermal ecosystems of the Qinghai-Tibet Plateau.docx by Bingjie Yan (10742991)

“…The results show that with increasing temperature, the network stability of microeukaryotic communities in sediments significantly improved, while the stability in water communities decreased. …”

Riboflavin inhibits growth and reduces virulence of <i>Cryptococcus neoformans in vitro</i> by membrane disruption and excessive accumulation of reactive oxygen species and exhibit... by Jian Huang (7250)

“…Finally, in mouse models of intranasal and intravenous infection, RF treatment significantly reduced the fungal burden in multiple organs, reduced lung and brain damage, and decreased the levels of plasma interferon (IFN)-γ, tumor necrosis factor (TNF)-α, and interleukin (IL)-4 in the early stage of infection. …”

Table_1_RvE1 Attenuates Polymicrobial Sepsis-Induced Cardiac Dysfunction and Enhances Bacterial Clearance.DOCX by Jianmin Chen (330051)

“…CLP caused a significant systolic dysfunction assessed by echocardiography. …”

Data Sheet 1_Brain injury, endocrine disruption, and immune dysregulation in HIV-positive men who have sex with men with late HIV diagnosis.docx by Yihui He (2936874)

“…A two-way factorial analysis of variance examining the main effects and interactions between groups and neuropsychiatric disorders revealed significant main effects of LD on specific brain regions. …”

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. …”