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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Comparison of neutrophils, lymphocyte and platelet between the two groups. by Changxu Wang (17826805)

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S1 File - by Changxu Wang (17826805)

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Baseline patient characteristics and surgical and anesthetic datas. by Changxu Wang (17826805)

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Postoperative pain assessment indexes, nausea and vomiting frequency, and postoperative recovery of patients in two groups. by Changxu Wang (17826805)

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The flow chart of the study. by Changxu Wang (17826805)

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Comparison of postoperative NLR, PLR, and SII between the two groups. by Changxu Wang (17826805)

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Summary statistics. by Stephan Dietrich (6979985)

“…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …”

Month of interview by world region. by Stephan Dietrich (6979985)

“…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …”

Effect by world bank income classification. by Stephan Dietrich (6979985)

“…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …”

Marginal effect of additional hot day on SWB. by Stephan Dietrich (6979985)

“…We take advantage of 40 years of variation in daily land surface temperature data, finding that one additional exceptionally hot day significantly lowers wellbeing, by roughly 0.5% on average. …”