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  1. 74661
    “…PLAIN ENGLISH SUMMARY: Outcome domains are aspects of a condition that matter to patients and clinicians and can be measured to assess treatment effects. …”
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  2. 74662
  3. 74663
    “…BACKGROUND: Structural volume loss of cortical gray matter over time in schizophrenia has been widely reported (Vita et al. 2012), and may be more pronounced when the disorder has an onset prior to age 18 (Early Onset Psychosis, EOP; Arango et al. 2008). …”
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  4. 74664
    “…We use a novel atlas that encapsulates both hippocampal subfields and surrounding white matter (WM), forming the ‘memory circuit’, to assess volumes with high-resolution MRI, and microstructure with quantitative T1 (qT1). …”
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  5. 74665
    “…Contrasts were examined at a whole brain, assumption-free voxel-wise analysis, restricted to grey matter and co-varied for global perfusion. Clozapine administration significantly decreased perfusion in the medial frontal gyrus. …”
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  6. 74666
    “…GS mean was computed from all grey matter voxels using a template mask in MNI space, using grand mean scaling to a base of 1000, averaged across all time-points. …”
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  7. 74667
    “…These included arachnoid cysts, dilated perivascular space or white matter intensity anomalies. The prevalence of abnormal RF was 25.3% in PNOS, 21.4% in SCZ, 18.2% in MDD 12.5% in SAD and 9.1% in BD. …”
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  8. 74668
  9. 74669
    “…We find that by mid-century, climate change alone can increase fine particulate matter (PM(2.5)) concentrations by 58.6% (2.50 μg/m(3)) and ozone (O(3)) by 14.9% (8.06 parts per billion by volume [ppbv]) for the month of July. …”
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  10. 74670
    “…BACKGROUND: The frequency and intensity of wildfires is anticipated to increase as climate change creates longer, warmer, and drier seasons. Particulate matter (PM) from wildfire smoke has been linked to adverse respiratory and possibly cardiovascular outcomes. …”
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  11. 74671
    “…Within each group, the two most-efficient (n = 6; RFI coefficient = − 2.69 ± 0.58 kg dry matter intake (DMI)/d) and the two least-efficient animals (n = 6; RFI coefficient = 3.08 ± 0.55 kg DMI/d) were selected. …”
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  12. 74672
    “…Calves born to Holstein cows individually-fed a basal control [CON; 1.47 Mcal/kg dry matter (DM) and 15.3% crude protein] diet with no added Met or CON plus ethylcellulose rumen-protected Met (MET; Mepron® at 0.09% of diet DM; Evonik Nutrition & Care GmbH, Germany) during the last 28 ± 2 d of pregnancy were used. …”
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  13. 74673
  14. 74674
    por Thomas, H. J. D., Myers‐Smith, I. H., Bjorkman, A. D., Elmendorf, S. C., Blok, D., Cornelissen, J. H. C., Forbes, B. C., Hollister, R. D., Normand, S., Prevéy, J. S., Rixen, C., Schaepman‐Strub, G., Wilmking, M., Wipf, S., Cornwell, W. K., Kattge, J., Goetz, S. J., Guay, K. C., Alatalo, J. M., Anadon‐Rosell, A., Angers‐Blondin, S., Berner, L. T., Björk, R. G., Buchwal, A., Buras, A., Carbognani, M., Christie, K., Siegwart Collier, L., Cooper, E. J., Eskelinen, A., Frei, E. R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M. M. P. D., Hermanutz, L., Hudson, J. M. G., Hülber, K., Iturrate‐Garcia, M., Iversen, C. M., Jaroszynska, F., Johnstone, J. F., Kaarlejärvi, E., Kulonen, A., Lamarque, L. J., Lévesque, E., Little, C. J., Michelsen, A., Milbau, A., Nabe‐Nielsen, J., Nielsen, S. S., Ninot, J. M., Oberbauer, S. F., Olofsson, J., Onipchenko, V. G., Petraglia, A., Rumpf, S. B., Semenchuk, P. R., Soudzilovskaia, N. A., Spasojevic, M. J., Speed, J. D. M., Tape, K. D., te Beest, M., Tomaselli, M., Trant, A., Treier, U. A., Venn, S., Vowles, T., Weijers, S., Zamin, T., Atkin, O. K., Bahn, M., Blonder, B., Campetella, G., Cerabolini, B. E. L., Chapin III, F. S., Dainese, M., de Vries, F. T., Díaz, S., Green, W., Jackson, R. B., Manning, P., Niinemets, Ü., Ozinga, W. A., Peñuelas, J., Reich, P. B., Schamp, B., Sheremetev, S., van Bodegom, P. M.
    Publicado 2018
    “…METHODS: We compiled a database of six plant traits (plant height, leaf area, specific leaf area, leaf dry matter content, leaf nitrogen, seed mass) for tundra species. …”
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  15. 74675
    “…EXPOSURES: Annual means of fine particulate matter with aerodynamic diameter less than 2.5 μm (PM(2.5)), nitrogen dioxide (NO(2)), and ozone (O(3)) were estimated at the participants’ residences using a validated geostatistical prediction model. …”
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  16. 74676
    “…Adults with more physical limitations (standardized regression coefficient [β], −0.27; 95% CI, −0.34 to −0.21; P < .001), poorer physical functions (ie, weak grip strength [β, 0.36; 95% CI, 0.25 to 0.46], poor balance [β, 0.28; 95% CI, 0.21 to 0.34], poor visual-motor coordination [β, 0.24; 95% CI, 0.17 to 0.30], and poor performance on the chair-stand [β, 0.34; 95% CI, 0.27 to 0.40] or 2-minute step tests [β, 0.33; 95% CI, 0.27 to 0.39]; all P < .001), accelerated biological aging across multiple organ systems (β, −0.33; 95% CI, −0.40 to −0.27; P < .001), older facial appearance (β, −0.25; 95% CI, −0.31 to −0.18; P < .001), smaller brain volume (β, 0.15; 95% CI, 0.06 to 0.23; P < .001), more cortical thinning (β, 0.09; 95% CI, 0.02 to 0.16; P = .01), smaller cortical surface area (β, 0.13; 95% CI, 0.04 to 0.21; P = .003), and more white matter hyperintensities (β, −0.09; 95% CI, −0.15 to −0.02; P = .01) had slower gait speed. …”
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  17. 74677
    “…IMPORTANCE: Ambient fine particulate matter (PM(2.5)) air pollution is associated with increased risk of several causes of death. …”
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  18. 74678
    “…In meat from 120-day-old lambs, DWB intake tended to reduce the fat level (p = 0.009) and increased polyphenol content (1.10 vs. 1.62, and 1.02 vs. 1.65 g GAE/kg dry matter (DM) in 120R and 120L lambs; p = 0.02), antioxidant capacity (12.8 vs. 14.9, and 12.8 vs. 15.7 mmol trolox eq/kg DM in 120R and 120L lambs; p = 0.02), and the presence of n-3 polyunsaturated fatty acids (FA) (1.61 vs. 2.81, and 1.43 vs. 2.61 g/100 g FA in 120R and 120L lambs; p = 0.007), thereby improving the meat’s health properties. …”
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  19. 74679
  20. 74680
    “…EXPOSURES: Annual mean ambient particulate matter air pollution less than 2.5 µm in aerodynamic diameter (PM(2.5)) and black carbon (BC) levels at the residence estimated by land-use regression and self-reported use of biomass cooking fuel. …”
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