Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

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Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

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Training-induced changes in bipedal stance. by Cristina Dolciotti (16317330)

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Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

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Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

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Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. by Cristina Dolciotti (16317330)

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Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

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Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

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Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session. by Cristina Dolciotti (16317330)

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Flow diagram. by Cristina Dolciotti (16317330)

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Table 3_Genetic association of ACE2 rs2285666 (C>T) and rs2106809 (A>G) and susceptibility to SARS-CoV-2 infection among the Ghanaian population.docx by Alexander Owusu Boakye (13716966)

Supplementary file 1_Genetic association of ACE2 rs2285666 (C>T) and rs2106809 (A>G) and susceptibility to SARS-CoV-2 infection among the Ghanaian population.docx by Alexander Owusu Boakye (13716966)

Table 1_Genetic association of ACE2 rs2285666 (C>T) and rs2106809 (A>G) and susceptibility to SARS-CoV-2 infection among the Ghanaian population.docx by Alexander Owusu Boakye (13716966)

Table 2_Genetic association of ACE2 rs2285666 (C>T) and rs2106809 (A>G) and susceptibility to SARS-CoV-2 infection among the Ghanaian population.docx by Alexander Owusu Boakye (13716966)

Pairwise comparison of adult longevity across treatments. P-values from pairwise comparisons between control conditions and irradiation doses. Values in boldface indicate significa... by Flavia Cerasti (21655934)

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Change in per capita visits to breweries in each state from March to June in 2020. by Yingjie Hu (1579000)

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Predicted and observed wine sales for individual states. by Yingjie Hu (1579000)

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Feature importance of the numeric input variables in the optimized RF models for the estimation of spirits, wine, and beer sales. by Yingjie Hu (1579000)

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The architecture of the DNN model for estimating alcohol sales. by Yingjie Hu (1579000)

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Fig 7 - by Yingjie Hu (1579000)

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