Acetylated HIF-2α regulates <i>in vitro</i> tumor cell properties. by Rui Chen (95310)

“…Cells were exposed to control (21% O₂, 25 mM glucose), hypoxic (1% O₂), or low glucose (1 mM) conditions, or were supplemented with acetate (5 mM) (n = 8/treatment/day). (B) Colony formation, (C) Cell migration, or (D) Cell invasion after ten days of the same cells assessed under identical conditions (n = 3/treatment). …”

A Randomised Placebo-Controlled Trial of a Traditional Chinese Herbal Formula in the Treatment of Primary Dysmenorrhoea by Lan Lan Liang Yeh (33527)

“…A dosage of 15 odorless capsules daily for five days starting from the onset of bleeding or pain was administered. …”

Pre-treatment with HMGB1 enhanced KA-induced up-regulation of P-gp in the epileptic brain. by Yan Chen (4308)

“…<p>(A) Immunohistochemical staining of P-gp in CA1 hippocampal areas of each group mice (NS group, <i>n</i> = 5; EP group, <i>n</i> = 6; EP+BoxA group, <i>n</i> = 6; EP+BoxA group, <i>n</i> = 6). …”

HOW STRONG IS THE RELATIONSHIP BETWEEN RAINFALL VARIABILITY AND CAATINGA PRODUCTIVITY? A CASE STUDY UNDER A CHANGING CLIMATE by CLEBER SALIMON (5671607)

Chloride flux at corneal wounds A. by Ana Carolina Vieira (238675)

“…Upon wounding, the Cl⁻ concentration at the wound edge transiently increased, (5 min) and then decreased, becoming lower than background (negative values) from 10 min onwards. …”

FixbbGCN benchmark results. by Jack B. Maguire (5123183)

“…Protein data bank codes from left to right are (top row) 1SFX, 1ECO, 1D4O and (bottom row) 1W2C, 1O4S, 1PJ5.</p>…”

(A1 & A2) The GNM analysis performed on Ubiquitin (1 D3Z [104]). by Pemra Ozbek (452879)

“…(C1 &C2) The GNM analysis performed on Influenza virus M2 proton channel, 3<b> </b>BKD <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0074320#pone.0074320-Stouffer1" target="_blank">[95]</a>: (C1) the amantadine bound structure 2<b> </b>KQT <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0074320#pone.0074320-Cady1" target="_blank">[105]</a> and (C2) the rimantadine bound 2<b> </b>RLF <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0074320#pone.0074320-Schnell1" target="_blank">[91]</a>. …”

Natural selection diagram. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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.…”

GA iteration graph. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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.…”

The state of each node after improvement. by Yanchun Li (248761)

“…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. 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.…”