Genes with highest fold change in exponential compared to stationary phase. Genes with >10 fold enrichment are shown, ribosomal genes are highlighted with bolded text. <i>rpsJ</i>/... by Justin Greene (306625)

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The weighted UniFrac (A) and PCoA (B) analysis of bacterial samples in passion fruit rhizosphere soil. by Weiwei Lin (2442850)

Final dataset. by Keiko Ochiai (21453423)

“…While a significant association between these attributes was observed, a comprehensive path analysis revealed that each attribute independently correlated with higher SDQ scores, suggesting that child maltreatment leads to these difficulties through accelerated aging and decreased eye contact. …”

Demographic Characteristics of Participants. by Keiko Ochiai (21453423)

“…While a significant association between these attributes was observed, a comprehensive path analysis revealed that each attribute independently correlated with higher SDQ scores, suggesting that child maltreatment leads to these difficulties through accelerated aging and decreased eye contact. …”

a-d. Difference in (a) probing depth; (b) clinical attachment level; (c) bleeding on probing, and (d) plaque index values between baseline and six months after treatment using syst... by Iva Milinkovic (22331710)

A prepubertal CD decreases fat mass accumulation and prevents lean mass loss in adulthood despite a chronic HFD in Sprague-Dawley male rats. by Ana Aguilar-Lozano (20614619)

Dataset (Figs 2–5). by Xianyong Wang (22601067)

“…Soil organic carbon and organic matter levels tended to increase on day 5 post-fertilization but generally decreased by day 10, with more pronounced declines observed in low-rate treatments (e.g., 1F). …”

The spatial pattern of dengue including hotspot and coldspot in Bangladesh in 2019–2023. by Kamal Hossain (331680)

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The spatial (districtwide) distribution of census population of Bangladesh in 2022. by Kamal Hossain (331680)

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The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2023. by Kamal Hossain (331680)

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The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2022. by Kamal Hossain (331680)

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The spatial distribution of districtwide dengue cases and dengue incidence rate (DIR) per million in Bangladesh in 2019–2023. by Kamal Hossain (331680)

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Schematic diagram of soil sample collection. by Xianyong Wang (22601067)

“…Soil organic carbon and organic matter levels tended to increase on day 5 post-fertilization but generally decreased by day 10, with more pronounced declines observed in low-rate treatments (e.g., 1F). …”

Enrollment flow-chart. by Marco Carbonara (11483575)

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Sankey Diagram of group allocation and attrition. by Robert Botelho (20308297)

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Raw data for HACU chemobrain manuscript. by Robert Botelho (20308297)

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Death probabilities of tumor-bearing mice across weeks of assessment. by Robert Botelho (20308297)

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Raw metabolomic data. by Bhuripit Saraphol (20855573)

“…The fecal metabolomic analysis showed that key signaling pathways, including the mechanistic target of rapamycin (mTOR), phosphatidylinositol 3-kinase (PI3K)-Akt, and AMP-activated protein kinase (AMPK) pathways, were enriched in thin cows. In addition, a significant correlation was observed between differential microbial taxa and metabolites. …”

Schematic diagram of the experimental workflow. by Bhuripit Saraphol (20855573)

“…The fecal metabolomic analysis showed that key signaling pathways, including the mechanistic target of rapamycin (mTOR), phosphatidylinositol 3-kinase (PI3K)-Akt, and AMP-activated protein kinase (AMPK) pathways, were enriched in thin cows. In addition, a significant correlation was observed between differential microbial taxa and metabolites. …”

Characteristics of the included studies. by Xin Liu (43569)

“…The combined findings showed that high-dose TXA was associated with a significant reduction in intraoperative blood loss [weighted mean difference (WMD) =  -215.48, 95% confidence interval (CI) (-367.58, -63.37), P <  0.001], as well as a decreased likelihood of transfusion [risk ratio (RR) =  0.40, 95% CI (0.30, 0.53), P <  0.001]. …”