Mix CBR value/%. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Mixed embankment settlement monitoring results. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Test road monitoring results. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Schematic diagram of the wet/dry cycle process. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Quantitative analysis table of mix composition. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Basic physical indexes of red clay. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Sample preparation process diagram. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Layout plan of settlement monitoring points. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

SCA-2 curing agent basic parameters. by Yunke Liu (4839084)

“…The results show that the cement-phosphogypsum-red clay unconfined compressive strength decreases with the increase of the number of wet and dry cycles, with a larger decay in the first three times and leveling off thereafter. …”

Effect of the replacement parameter . by Fynn Bachmann (21409831)

Flow chart of household head recruitment. by Suvasish Das Shuvo (11204728)

“…<div><p>Background</p><p>Inadequate dietary diversity is a significant challenge in public health for low-and middle-income countries, including rural communities in Bangladesh. …”

Table 6_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Image 1_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Image 2_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 3_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 5_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 1_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 4_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 2_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Data Sheet 1_The role of statins in dementia or Alzheimer’s disease incidence: a systematic review and meta-analysis of cohort studies.docx by Ye Du (4067569)

“…Similarly, an analysis of 19 studies comprising 1,237,341 participants demonstrated a 29% decrease in the risk of AD among statin users (HR: 0.71, 95% CI: 0.60–0.85). …”