Annual treatment frequencies in all eyes. by Yasuyuki Sotani (20114144)

“…Outpatient visit frequency also significantly declined from 11.5 ± 4.3 visits in the year before surgery to 8.8 ± 4.1, 5.0 ± 3.4, and 4.4 ± 3.2 visits in the first, second, and third postoperative years, respectively (Kruskal-Wallis test, p < 0.001; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0332941#pone.0332941.g004" target="_blank">Fig 4</a>).…”

Time course of best-corrected visual acuity (BCVA) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

“…CRT in the recurrence group significantly decreased from 546.1 ± 117.0 μm preoperatively to 317.1 ± 46.9, 317.8 ± 55.6, 290.8 ± 33.5, 342.9 ± 82.2, 333.0 ± 84.2, and 349.8 ± 76.9 μm at 1, 3, 6, 12, 24, and 36 months postoperatively, respectively (Kruskal-Wallis test, p < 0.001). …”

iBAT characterization of the <i>aP2-Drp1</i>^f/f neonatal mice. by Yuta Ibayashi (20404811)

African catfish intervention sites, snail sampling sites and local primary schools in Chifunfu (A), Kahumulo (B) and Sweya (C). by Roland Proud (11764892)

Time course of central retinal thickness (CRT) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

“…Regarding the mean number of treatments in the recurrence group, anti-VEGF, STTA, MA-PC, PPV, and total treatment counts in the year before surgery were 3.0 ± 1.4, 0.1 ± 0.3, 0.8 ± 1.0, 0.1 ± 0.3, and 4.0 ± 2.1, respectively. These values significantly decreased in the first postoperative year to 2.3 ± 2.6, 0.1 ± 0.3, 0.8 ± 1.6, 0, and 3.1 ± 2.8; in the second year to 2.1 ± 2.8, 0.4 ± 1.0, 0.0, 0.1 ± 0.3, and 2.6 ± 2.8; and in the third year to 2.0 ± 2.2, 0, 0.6 ± 1.7, 0.1 ± 0.3, and 2.8 ± 3.5 (Kruskal–Wallis test, p < 0.001; <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0332941#pone.0332941.g007" target="_blank">Fig 7</a>). …”

Conceptual diagram of survival curve and loss of life expectancy. by Hiroaki Saito (24514)

Facilities offering modern family planning services by division in 2014 (A) and 2017 (B). by Rajon Banik (12066099)

Modern family planning service readiness score by division in 2014 (A) and 2017 (B). by Rajon Banik (12066099)

(a, b). The statistical error analyses for the models using the same dataset. by Fahd Saeed Alakbari (10701871)

Coal seam combustion (a), (c) and infrared thermometry map (b), (d) in Fire Zone 1 and 3 (Republished from Desheng Xie under a CC BY license, with permission from Desheng Xie, orig... by Desheng Xie (21439869)

The restoration effect carried out in the early stage of (a) Fire Zone 1 and (b) Fire Zone 3 (Republished from Desheng Xie under a CC BY license, with permission from Desheng Xie,... by Desheng Xie (21439869)

Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”

Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

“…In contrast, analysis of relative abundances only showed a decrease of Faecalibacterium and Rikenellaceae RC9 gut group and, thus, a much less detailed antibiotic effect.…”