Supplementary Table definition

Supplementary Table. 5: TRIPOD reporting scores for articles published after TRIPOD statement in journals that require adherence to the TRIPOD statement and journals that do not require to the adherence statement Supplementary Table 6: Percentage articles reporting TRIPOD items in supplementary material TRIPOD item Supplement % TRIPOD item Supplement % Supplementary figure 1: Average overall TRIPOD reporting levels in percentage per year 202 Supplementary Table 7: Performance measures and missing data in all studies Calibration Discrimination Classification Clinical usefulness Overall performance Missing data reporting Type and reason of missing data Missing data handling 203 Supplementary Table 8: Model development and presentation Sample per candidate predictor 204 Model Type Predictor Selection Model building Model building thresholds Internal validation Model presentation Supplementary Table 9: External validation and updating Before 2015 (n=18) Number (%) After 2016 (n=26) Number (%) External validation Model updating Article selection Search strategy:
Sample 1Sample 2
Supplementary Table. S1: Same as Table 1, but for scenarios considered compatible with 1.5°C and 2°C warming in the 5th assessment report of IPCC (Xxxxxx et al. 2014, Xxxxxx et al. 2015), including projections of changes in regional climate associated with resulting global temperature levels derived following previous studies (Seneviratne et al. 2016, Xxxxxxxxxxxx et al. 2017) SCEN_1p5C Emissions pathways currently considered in line with keeping warming below 1.5°C in 2100 with 66% chance (allowing for a higher peak in temperature earlier) SCEN_2C Emissions pathways currently considered in line with keeping warming below 2°C during the entire 21st century with 66% chance “probable” (66th percentile) outcomea “worst-case” 10% (90th percentile) outcomeb “probable” (66th percentile) outcomea “worst-case” 10% (90th percentile) outcomeb General characteristics of pathway Overshoot 1.5°C in 21st century with >50% likelihoodc Yes (8/8) Yes (8/8) Yes (60/60) Yes (60/60) Overshoot 2°C in 21st century with >50% likelihood No (0/8) Yes (4/8) No (0/60) Yes (60/60) Cumulative CO2 emissions up to peak warming (relative to 2016)d 510 (490, 560) 470 (410, 520) 930 (790, 1050) 900 (750, 1040) Cumulative CO2 emissions up to 2100 (relative to 2016)d [GtCO2] -40 (-100, 10) 850 (520, 1000) Global GHG emissions in 2030d [GtCO2 y-1] 19 (17, 21) 28 (23, 32) Years of global net zero CO2 emissionsd 2061 (2061, 2063) 2084 (2079, 2086) Warming in the Arctice (TNnf) [°C] 4.75 °C (4.09, 5.44) 5.90 °C (4.97, 6.85) 5.63 °C (4.68, 6.59) 6.97 °C (6.13, 8.38) Warming in the contiguous United Statese (TXxf) [°C] 2.39 °C (1.90, 2.84) 2.97 °C (2.36, 3.40) 2.77 °C (2.20, 3.30) 3.51 °C (3.05, 4.11) Warming in Central Brazile (TXxf) [°C] 2.55 °C (2.12, 2.97) 3.12 °C (2.66, 3.76) 2.96 °C (2.58, 3.55) 3.66 °C (3.31, 4.21) Drying in the Mediterranean regione [stdf] (-1: dry; -2: severely dry; -3: very severely dry) -1.00 (-2.12, -0.39) -1.25 (-2.21, -0.51) -1.11 (-2.18, -0.51) -1.36 (-2.93, -0.69) Increase in heavy precipitation eventsf in Southern Asiae [%] 9.78 % (6.52, 13.63) 11.56 % (7.04, 18.50) 10.27 % (6.50, 17.40) 16.74 % (9.60, 23.44) Warming in the Arcticg (TNnf) [°C] 4.07 °C (3.53, 4.72) 5.37 °C (4.60, 6.40) 5.37 °C (4.46, 6.38) 6.86 °C (5.83, 8.24) Warming in the contiguous United Statesg (TXxf) [°C] 2.00 °C (1.60, 2.48) 2.62 °C (2.17, 3.23) 2.62 °C (2.07, 3.24) 3.37 °C (2.88, 4.03) Warming in Central Brazilg (TXxf) [°C] 2.20 °C (1.95, 2.58) 2.88 °C (2.46, 3.48) 2.88 °C (2.43, 3.47) 3.57 °C (3.20, 4.18) Dry...
Sample 1
Supplementary Table. 5: Regression equations developed for the prediction of MET values based on acceleration outputs from GENEActiv (GA) and ActiGraph (AG). GA non-dominant AG non-dominant AG dominant AG waist α (95%CI) 1.812 (1.689 to 1.936) 1.938 (1.815 to 2.060) 1.883 (1.766 to 2.001) 1.514 (1.418 to 1.610) β (95%CI) 0.011 (0.010 to 0.012) 0.012 (0.011 to 0.013) 0.011 (0.010 to 0.012) 0.020 (0.019 to 0.021) MET 1.812 + 0.011 mg 1.938 + 0.012 mg 1.883 + 0.011 mg 1.514 + 0.020 mg Adjusted R2 76.1 73.7 74.0 84.2 α (95%CI) 1.898 (1.767 to 2.030) 2.032 (1.900 to 2.163) 2.012 (1.885 to 2.139) 1.533 (1.428 to 1.638) β (95%CI) 0.011 (0.010 to 0.012) 0.011 (0.010 to 0.012) 0.010 (0.009 to 0.011) 0.020 (0.019 to 0.021) MET 1.898+ 0.011 mg 2.032 + 0.011mg 2.012 + 0.010 mg 1.533 + 0.020 mg Adjusted R2 80.4 78.3 77.9 86.4 α (95%CI) 1.260 (1.152 to 1.368) 1.363 (1.256 to 1.471) 1.351 (1.242 to 1.461) 1.117 (1.010 to 1.224) β1 (95%CI) 0.020 (0.019 to 0.021) 0.022 (0.021 to 0.023) 0.020 (0.019 to 0.021) 0.031 (0.029 to 0.032) β2 (95%CI) x10-5 -1.1 (-1.2 to -1.0) -1.4 (-1.5 to -1.3) -1.2 (-1.3 to -1.1) -2.6 (-2.9 to -2.2) MET 1.260 + 0.020 mg + (-1.1 mg2 x 10-5) 1.363 + 0.022 mg + (-1.4 mg2 x 10-5) 1.351 + 0.020 mg + (-1.2 mg2 x 10-5) 1.117 + 0.031 mg + (-2.6 mg2 x 10-5) Adjusted R2 89.8 88.8 87.6 89.5 Equation 1: only outputs from 8 activities were included (similar activities used by Xxxxxxxxxx et al); Equation 2: 9 activities were included (Xxxxxxxxxx + intermittent running) Equation 3: Equation 2 and inclusion of a quadratic term for acceleration. Figures presented in the main document were based on this equation.
Sample 1

Examples of Supplementary Table in a sentence

  • However, to compare with earlier findings, we included subgroup analyses of‌ maternal bereavement and job control analysed separately for mothers with ‘high’ and ‘low’ psychological job demands (Supplementary Table 3, available as Supplementary data at IJE online).

  • Zoom into individual nodes for Spectrum (S) and Tocris (T) plate number and well identity (cross- reference to Supplementary Table S1).

  • The accession numbers of the viral sequences used in the trees are shown in Supplementary Table S3 and S4.

  • Supplementary Table 1 lists the pool of mining rigs constructed by the authors, from which they randomly assigned rigs (i.e., with equal probability) to solve blocks in 2017 via Eq. 1.

  • The fraction of Oryzeae-specific genes with syntenic orthologs in a second species was not substantially lower than for the two older groups, with 86% as compared to 93% and 97% for the Poaceae and angiosperm-derived families, respec- tively (Supplementary Table 38).

  • This observation suggests that most indels inferred from compari- sons of just single genomes (Supplementary Table 34) are still poly- morphic within populations.Oryzeae- and species-specific gene families.

  • These genes show only weak functional enrichment for extracellular space compartment, and plasma membrane by DAVID functional enrichment analysis (see Supplementary Table ??), but we make two remarkable observations.

  • We believe this is due to the weak affinity between MLL1RBS-SET and RbBP5, as compared to the intermolecu- lar affinities observed with the WDR5–RbBP5 and WDR5– MLLWIN-SET pairs (see Supplementary Table S1).

  • Based on the density of the CBB stain of each lane in relation to the HeLa stain density, the protein amount can be calculated (see examples in Supplementary Table 1).

  • As expected, the genes from Table 3 are highly enriched for unfolded protein binding, molecular chaperones and focal adhesion, heat shock response, apoptosis, and response to oxidative stress by DAVID functional enrichment clustering (see Supplementary Table ??).Figure 3 contains normalized counts distributions for each sample group for the 19 common DE genes from Figure 2B.


More Definitions of Supplementary Table

Supplementary Table. 6: Average confusion matrix indicating the ability of thresholds to accurately classify intensities (% accurately classified). Columns indicate actual intensity, while rows indicate predicted intensity. Sedentary a n (%) Light b n (%) Moderate n (%) Vigorous n (%) Kappa (SE) GA non-dominant 0.63 (0.02) Sedentary 151 (58.8) 104 (40.5) 2 (0.8) 0 (0.0) Light 2 (2.2) 70 (70.1) 20 (21.7) 0 (0.0) Moderate 0 (0.0) 6 (4.1) 117 (80.7) 22 (15.2) Vigorous 0 (0.0) 0 (0.0) 18 (13.2) 118 (86.7) AG non-dominant 0.72 (0.02) Sedentary 144 (77.4) 42 (22.6) 0 (0.0) 0 (0.0) Light 21 (10.9) 146 (75.7) 26 (13.5) 0 (0.0) Moderate 0 (0.0) 10 (5.8) 130 (75.1) 33 (19.1) Vigorous 0 (0.0) 0 (0.0) 14 (10.1) 125 (89.9) AG dominant 0.66 (0.02) Sedentary 171 (65.5) 88 (33.7) 2 (0.8) 0 (0.0) Light 11 (7.1) 116 (74.4) 29 (18.6) 0 (0.0) Moderate 0 (0.0) 11 (6.0) 138 (75.0) 35 (19.0) Vigorous 0 (0.0) 0 (0.0) 17 (11.0) 138 (89.0) AG waist 0.53 (0.02) Sedentary 185 (51.8) 171 (47.9) 1 (0.3) 0 (0.0) Light 1 (2.6) 23 (60.5) 14 (36.8) 0 (0.0) Moderate 0 (0.0) 26 (12.8) 146 (71.6) 32 (15.7) Vigorous 0 (0.0) 0 (0.0) 27 (15.7) 145 (84.3)
Sample 1

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