Image 3_An analysis of the global burden of gallbladder and biliary tract cancer attributable to high BMI in 204 countries and territories: 1990–2021.tif by Zhuowen Hu (20431616)

“…High Body Mass Index (BMI) is a significant risk factor, contributing substantially to GBTC mortality and Disability-Adjusted Life Years (DALYs). …”

Table 4_An analysis of the global burden of gallbladder and biliary tract cancer attributable to high BMI in 204 countries and territories: 1990–2021.xlsx by Zhuowen Hu (20431616)

“…High Body Mass Index (BMI) is a significant risk factor, contributing substantially to GBTC mortality and Disability-Adjusted Life Years (DALYs). …”

Supplementary file 1_Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm.pdf by Sanglin Zhao (20915732)

“…The results show that: (1) From 2000 to 2035, China’s total carbon emissions increased year by year, but the growth rate of carbon emissions gradually decreased; The carbon emission structure is “secondary industry > residents’ life > tertiary industry > primary industry”, and the growth rate of carbon in secondary industry and residents’ life is faster, while the change trend of primary industry and tertiary industry is smaller; (2) The spatial distribution of carbon emissions in China’s provinces presents a typical pattern of “eastern > central > western” and “northern > southern”, and the carbon emission centers tend to move to the northwest; (3) The regions with high level of digital economy, advanced industrial structure and new quality productivity have relatively less carbon emissions, which has significant group difference effect; (4) The intensity effect of energy consumption is the main factor driving the continuous growth of carbon emissions, while the per capita GDP and the structure effect of energy consumption are the main factors restraining carbon emissions, while the effects of industrial structure and population size are relatively small. …”

Image 9_An analysis of the global burden of gallbladder and biliary tract cancer attributable to high BMI in 204 countries and territories: 1990–2021.tif by Zhuowen Hu (20431616)

“…High Body Mass Index (BMI) is a significant risk factor, contributing substantially to GBTC mortality and Disability-Adjusted Life Years (DALYs). …”

Table 1_An analysis of the global burden of gallbladder and biliary tract cancer attributable to high BMI in 204 countries and territories: 1990–2021.xlsx by Zhuowen Hu (20431616)

“…High Body Mass Index (BMI) is a significant risk factor, contributing substantially to GBTC mortality and Disability-Adjusted Life Years (DALYs). …”

Image 4_An analysis of the global burden of gallbladder and biliary tract cancer attributable to high BMI in 204 countries and territories: 1990–2021.tif by Zhuowen Hu (20431616)

“…High Body Mass Index (BMI) is a significant risk factor, contributing substantially to GBTC mortality and Disability-Adjusted Life Years (DALYs). …”

Supplementary file 1_Persistent burden and health inequalities of disease in women of childbearing age attributable to Intimate Partner Violence, 1990–2021.docx by Yingda Song (15410321)

“…Aims<p>Intimate Partner Violence (IPV) presents a significant global public health issue, particularly affecting women of childbearing age (WBCA). …”

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. …”

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. …”

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. …”

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. …”

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. …”

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. …”

Comparison results of ablation experiments. 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. …”

DataSheet4_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip by Jinxin Wang (1696837)

“…<p>Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders characterized by social interaction deficits, restricted interests and repetitive behaviors. …”

Table of dataset division. 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. …”