Photographs of strain VROV1 isolated from marine sediments collected on the northern Central Indian Ridge. by Bokyung Kim (622579)

Kernel density of different types of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage. by Jie Li (15030)

Kernel density of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage in different periods. by Jie Li (15030)

Center of gravity and direction of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage in different periods. by Jie Li (15030)

Various natural factors and spatial distribution of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage. by Jie Li (15030)

Overall kernel density of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage. by Jie Li (15030)

Additional images of <i>Nkx2–5-Cre;Shroom3</i>^<i>fl/fl</i> neonate semilunar valve morphologies. by Jennifer L. Carleton (22208916)

Influencing factors of APCA. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Temporal trends in APCA. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

“…</p><p>Conclusions</p><p>1) Temporally, APCA shows a trend of slow growth, ups and downs. Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. …”

Whole genome sequencing map of the intron 25-exon 26 transition of the murine <i>Tg</i> locus. by Wendy J. Bailey (14926392)

Heatmaps of the top 536 differentially expressed genes (DEG) by calcitriol in CaSki cells with fold changes ranging from 1.5 to −1.5. by Euclides Avila (41023)

Genotype-based analysis of the LINE-1. by Wendy J. Bailey (14926392)

Myocardial <i>Shroom3</i> loss during development does not alter ventricular wall thickness. by Jennifer L. Carleton (22208916)

Summary of correlations in previous studies. by Dan Kuang (136225)

“…Furthermore, the infection rates of SARS-CoV-2, as estimated by the model, ranged from 0.012% (P5-P95: 0.004% - 0.020%) at the lowest baseline to 3.27% (P5-P95: 1.23% - 5.69%) at the peak of the epidemic, with 15.1% (P5-P95: 5.65% - 26.2%) of individuals infected during the epidemic wave between March 4th and June 15th. Additionally, we did not observe any COVID-19 outbreaks or cluster infections at the Chengdu 2023 FISU World University Games village, and there was no significant difference in the concentrations of SARS-CoV-2 in athletes before and after check-in at the village.…”

The characteristics of nine WWTPs. by Dan Kuang (136225)

“…Furthermore, the infection rates of SARS-CoV-2, as estimated by the model, ranged from 0.012% (P5-P95: 0.004% - 0.020%) at the lowest baseline to 3.27% (P5-P95: 1.23% - 5.69%) at the peak of the epidemic, with 15.1% (P5-P95: 5.65% - 26.2%) of individuals infected during the epidemic wave between March 4th and June 15th. Additionally, we did not observe any COVID-19 outbreaks or cluster infections at the Chengdu 2023 FISU World University Games village, and there was no significant difference in the concentrations of SARS-CoV-2 in athletes before and after check-in at the village.…”

Fitting of desilication kinetics by Nian Liu (29935)

X-ray diffraction data of different minerals in Fig 1. by Nian Liu (29935)