Table 8_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

“…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”

Table 14_Genome-wide association study of seedling–plant resistance to stripe rust in bread wheat (Triticum aestivum L.) genotypes.xlsx by Genet Atsbeha (17595417)

“…The majority of the discovered resistance quantitative trait loci (QTLs) were located on the same chromosomes as previously reported QTLs for yellow rust resistance, specifically on chromosomes 1A, 1B, 2A, 2B, 2D, 3A, 3B, 3D, 5A, 5B, 5D, 6A, 6B, 6D, 7A, 7B, and 7D. …”

Baseline characteristics of participants. by Mei Zhou (269746)

“…</p><p>Results</p><p>After DRG implementation, the logarithmic mean of total hospitalization expenditures decreased significantly (3.914 ± 0.837 vs. 3.872 ± 1.004), while rates of unplanned readmissions, unplanned reoperations, postoperative complications, and patient complaints within 30 days increased significantly (3.784% vs 4.214%, 0.083% vs 0.166%, 0.207% vs 0.258%, 3.741% vs 5.133%). …”

The framework diagram of this study. by Mei Zhou (269746)

“…</p><p>Results</p><p>After DRG implementation, the logarithmic mean of total hospitalization expenditures decreased significantly (3.914 ± 0.837 vs. 3.872 ± 1.004), while rates of unplanned readmissions, unplanned reoperations, postoperative complications, and patient complaints within 30 days increased significantly (3.784% vs 4.214%, 0.083% vs 0.166%, 0.207% vs 0.258%, 3.741% vs 5.133%). …”

Cage Friction Measurements in High-Speed Bearings by Joseph Leo Misenar (22504786)

“…The cage friction exhibited a dichotomic behavior, increasing in the oil-dominant regime at lower speeds and decreasing significantly in the air-dominant regime at higher speeds. …”

Depletion of viral UL87 LTF in late infection does not affect viral long promoter transcription. by Qiaolin Hu (8677473)

“…<b>(B)</b> UCSC Genome Browser of the MIE promoter/enhancer and downstream region show that dTag degrader treatment significantly decreased transcription from the LTF-dependent UL124 promoter and enhancer promoter EP2 (gold arrowheads). …”

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. …”

Fasting inhibits glycolysis and migration/invasion in gallbladder cancer via PCBP2/ANGPTL4 signaling by Ying Tao (469347)

“…PBCP2 was upregulated in GBC tumor tissues and cells. Moreover, PCBP2 is a key downstream target of fasting, and fasting decreases PCBP2 expression in GBC cells. …”

Stepwise increments in stimulus amplitude alter the information content of post-EOD spike distributions. by Alejo Rodríguez-Cattáneo (19713314)

“…Upper (A) and lower (B) rows correspond to experiments in which the stimulus was decreased and increased, respectively. …”

Natural selection diagram. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Improved optimization results. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Gene comparison map before and after mutation. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Recombinant gene map. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

model comparison (Idle/%). by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Comparison chart of use of each node. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Original optimization results. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Selection of crossing point. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Operator parameter setting of improved GA. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Product supply sequence diagram. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Crossed offspring chromosomes. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”