Global, regional and national trends in burden of chronic obstructive pulmonary disease (COPD) from 2000 to 2021 and the prediction for 2030: An analysis of the Global Burden of Di... by Huiqing Xu (20467802)

“…However, ASRs of incidence, prevalence, deaths and DALYs decreased, and, moreover, such a declining trend would continue to 2030. …”

<b>Data used for analyses in the manuscript 'Sleep Regularity and Duration are Associated with Depression Severity in a Nationally Representative United States Sample'</b> by Katherine Maki (7445153)

“…</p><p dir="ltr"><b>Results: </b>Among participants (n=7297), we found associations between sleep-associated variables and SRI, with increased daytime sleep being the strongest correlate of decreased SRI. In the fully adjusted model, lower SRI scores and reduced subjective night sleep remained significantly associated with depression. …”

<b>不同辣椒</b><b>chili</b><b>straw on growth performance, rumen fungal flora structure, function and economic benefits of sheep</b> by Jinlong Li (20481890)

“…At the end of the trial, body weights were recorded and rumen fluid samples were collected to assess growth performance, rumen fungal diversity, and functional profiles. Key findings include:(1) Dry matter intake (DMI) increased significantly in the 10% CS group (P<0.01), whereas DMI and final body weight decreased in the 20% CS group (P<0.01 or P<0.05); Final body weight and average daily gain (ADG) showed an upward trend in the 10% CS group (P > 0.05), while ADG displayed a downward trend in the 20% CS group (P>0.05); (2) The ACE and Chao1 indices were significantly elevated in the 20% CS group (P<0.05); (3) Principal coordinates analysis (PCoA) and non-metric multidimensional scaling (NMDS) revealed distinct clustering of the 20% CS group compared to the control (CON) group; (4) Relative abundances of Ascomycota and Cladosporium increased, whereas those of Basidiomycota and Kazachstania decreased in CS-supplemented groups (P>0.05); (5) FUNGuild functional prediction indicated that rumen fungi were predominantly symbiotrophic, with increased relative abundances of symbiotrophic and pathotrophic fungi and decreased saprotrophic fungi in CS groups (P>0.05). (6) The gross profit and net profit of CS10 % group increased. …”

Supplementary Material for: Construction of a hybrid vaccine based on Der f 35-derived peptides with reduced allergenicity by Hu H. (4145581)

“…The levels of IL-5 and IL-13 from PBMCs were significantly decreased after stimulation by the vaccine than that by Der f 35 (p < 0.05). …”

Data from: The relationship between pollinator community and pollination services is mediated by floral abundance in urban landscapes by Hamutahl Cohen (11520447)

“…In the field, we found that jalapeño seed number increased significantly with herbaceous (weed, crop, and ornamental) plant richness and the number of perennial trees and shrubs at the site level, but decreased with the amount of natural landscape cover. …”

Proteomic analysis for busulfan-induced spermatogenesis disorder by Ke Hu (84619)

“…Western blotting revealed that LDHAL6B protein significantly increased at 10 days, decreased from 20 to 60 days, and then gradually elevated from 70 to 80 days after busulfan treatment.…”

Table 2_Impact of chemoradiotherapy for first primary lung cancer on the prognosis and re-chemoradiotherapy sensitivity of second primary lung cancer.docx by Zhe Chen (196097)

“…</p>Results<p>The competitive risk model indicated that FPLC radiotherapy and chemotherapy did not significantly change the risk of developing SPLC. However, the Cox proportional hazards model revealed that FPLC radiotherapy was associated with decreased overall survival (OS; HR=1.251, P<0.001) and cancer-specific survival (CSS; HR=1.228, P=0.001) in patients with SPLC. …”

Table 3_Impact of chemoradiotherapy for first primary lung cancer on the prognosis and re-chemoradiotherapy sensitivity of second primary lung cancer.docx by Zhe Chen (196097)

“…</p>Results<p>The competitive risk model indicated that FPLC radiotherapy and chemotherapy did not significantly change the risk of developing SPLC. However, the Cox proportional hazards model revealed that FPLC radiotherapy was associated with decreased overall survival (OS; HR=1.251, P<0.001) and cancer-specific survival (CSS; HR=1.228, P=0.001) in patients with SPLC. …”

Supplementary Material for: Impacts of air pollution on dynamic lung function in asthma patients: the modifying effect of phenotype susceptibility and possible relationship with ai... by figshare admin karger (2628495)

“…Results We found that a 10 μg/m3 increase in PM2.5 was associated with decreases 0.79% in FEF25-75 (95% CI: 0.31 ~ 3.25), a range of decreases of 0.76%~0.83% PEF, 1.58%~1.93% for FEF25 and 1.79%~2.31% for FEF50 in the morning or evening on different lag days. …”

Appendix 2 - Tools and Outcomes from the Hybrid Roleplay Intervention by Dinus Salam (20306184)

“…Additionally, the NASA Task Load Index (NASA-TLX) results revealed significant reductions in mental, temporal, and effort demands, indicating a decreased cognitive load during documentation tasks. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

Main module structure. by Dunlu Lu (19964225)

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”

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

“…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. At the same time, the model size was reduced by 9.3%, and the number of model layers was decreased, reducing computational costs and storage requirements. …”