The primer sequences of real-time PCR. by Lihan Xu (18778257)

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The outcomes of transcriptome analyses. by Lihan Xu (18778257)

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Variables name and variable measurement. by Jinyuan Li (5927267)

“…Using the medical insurance records from 2017 to 2022, we evaluated the impact of the DRG system on medical costs, service efficiency and healthcare quality.…”

Scheme of the SiTFarm tool–farm to sector level. by Jure Brečko (20314959)

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S1 File - by Jure Brečko (20314959)

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GHG emissions in TAHs. by Jure Brečko (20314959)

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Data Sheet 1_Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent... by Peter Ruppersberg (22123543)

“…We also examine the statistical characteristics of the identified sources and their impact on cycle length variability, offering insights into potential pathophysiological mechanisms.…”

Detailed information of the observation datasets. by Weidong Ji (129916)

“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

General technical specification for GW154/6700. by Weidong Ji (129916)

“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”

Evogliptin attenuates the pyroptotic cell death of VSMCs during CER treatment by decreasing the pyroptotic-associated genes and GSDM-D cleavage efficiency <i>in-vitro.</i> by Razia Rashid Rahil (22772495)

PRISMA flow diagram of study selection. by Masoud Rahmati (16665456)

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General characteristics of included studies. by Masoud Rahmati (16665456)

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Characteristics of individual studies. by Masoud Rahmati (16665456)

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Cardiac valve malformation impacts cardiac parameter. by Christian Meyer (6035)

Participant demographics. by Anita B. Frohlich (20660615)

“…We found that paced nostril breathing both decreased alpha/mu oscillations over central and parietal areas and increased frontal midline and occipital theta oscillations when comparing to spontaneous breathing. …”

Theta power for frontal midline ROI. by Anita B. Frohlich (20660615)

“…We found that paced nostril breathing both decreased alpha/mu oscillations over central and parietal areas and increased frontal midline and occipital theta oscillations when comparing to spontaneous breathing. …”

Contribution of biological and environmental factors to POC content variation and their impact mechanisms. by Yao Zhong (280645)

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Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”