All-Atom Simulations Reveal the Effect of Membrane Composition on the Signaling of the NKG2A/CD94/HLA‑E Immune Receptor Complex by Martin Ljubič (15680161)

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Global parameters and variables for the model. by Alexandra M. Campbell (3284094)

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Variables of patch located at coordinates . by Alexandra M. Campbell (3284094)

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MRSP Data collected in March 2018. by Alexandra M. Campbell (3284094)

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Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Comprehensive prediction process of shape errors. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Shape error manual calculation process. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Shape error measurement results statistics. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

CBCHCV rawdata. This file contains the raw dataset used in the analysis of decreased levels of inflammatory markers in patients with hepatitis C virus (HCV) infection. The dataset... by Lu Han (151620)

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Cardiac performance and hemolymph distribution are significantly reduced upon valve malformation. by Christian Meyer (6035)

Autophagy significantly influences the apoptotic levels of RGCs in glaucomatous mouse eyes. by Hongmei Qian (538647)

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Association of covariates and COPD risk. by Yushan Shi (16440272)

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The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

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The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

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The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

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The significance of the specific Nusselt number on a variety of factor. by Siva Sankari (2827295)

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Comparison of questionnaire scores among genotypes for the significant associations. by Dai Nogimura (21445649)

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Average Time Between Successive R-wave Peaks (RR Intervals) across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: RR decreases fr... by David Vagni (8060432)

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Videofluoroscopic swallowing study parameters. by Rie Asayama (693361)

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