Image 3_Multi-omics reveals effects of diet FNDF/starch level on growth performance and rumen development of Hu sheep.tif by Haibi Zhao (10869861)

Data Sheet 1_Assessing ecological environmental quality and conservation effectiveness in the World’s largest urban green heart using the remote sensing ecological index (RSEI) and... by Chongbo Wu (22135075)

“…The findings reveal that: (1) The RSEI demonstrated an average annual growth rate of 0.0038 years^-1 over 31 years, with significant increases during 1990–2013 (0.0045 years^-1) and 2013–2020 (0.0089 years^-1). (2) Comparing pre- and post-GH policy implementation periods (1990–2013 vs. 2013–2020), areas showing EEQ improvement increased from 77.15% to 89.69%, while areas with stable and decreased EEQ declined from 22.36% to 10.17%. (3) GH policy demonstrates substantial positive conservation effects, with both GH and the 3 km buffer zone exhibiting EEQ improvements. …”

Data Sheet 10_Global, regional, and national burden of musculoskeletal disorders, 1990–2021: an analysis of the global burden of disease study 2021 and forecast to 2035.pdf by Meizhi Liu (21898892)

Data Sheet 9_Global, regional, and national burden of musculoskeletal disorders, 1990–2021: an analysis of the global burden of disease study 2021 and forecast to 2035.pdf by Meizhi Liu (21898892)

Data Sheet 11_Global, regional, and national burden of musculoskeletal disorders, 1990–2021: an analysis of the global burden of disease study 2021 and forecast to 2035.pdf by Meizhi Liu (21898892)

Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

Counting results on DRPD dataset. by Dunlu Lu (19964225)

Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

Main module structure. by Dunlu Lu (19964225)

Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

Counting results on WEDU dataset. by Dunlu Lu (19964225)

Example images from four plant datasets. by Dunlu Lu (19964225)

Counting results on RFRB dataset. by Dunlu Lu (19964225)

Detection visualization results on WEDU dataset. by Dunlu Lu (19964225)

Table 4_Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease.xlsx by Wenjun Wang (314231)

“…Immune infiltration analysis showed that 15 types of immune cells were differential immune cells. APRT predicted a total of 30 miRNAs and LCAT predicted a total of 17 miRNAs. …”

Table 6_Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease.xlsx by Wenjun Wang (314231)

“…Immune infiltration analysis showed that 15 types of immune cells were differential immune cells. APRT predicted a total of 30 miRNAs and LCAT predicted a total of 17 miRNAs. …”

Table 13_Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease.xlsx by Wenjun Wang (314231)

“…Immune infiltration analysis showed that 15 types of immune cells were differential immune cells. APRT predicted a total of 30 miRNAs and LCAT predicted a total of 17 miRNAs. …”

Table 10_Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease.xlsx by Wenjun Wang (314231)

“…Immune infiltration analysis showed that 15 types of immune cells were differential immune cells. APRT predicted a total of 30 miRNAs and LCAT predicted a total of 17 miRNAs. …”