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  1. 73621
    “…In this study, we examined 241 non-demented Alzheimer’s Disease Neuroimaging Initiative participants to investigate the associations among age, white matter hyperintensities (WMH), hypertension, hyperlipidemia, body mass index (BMI), plasma Aβ(42)/Aβ(40) measured by liquid chromatography tandem mass spectrometry, and (18)F-florbetapir Aβ PET as well as their prediction of longitudinal adjusted hippocampal volume (aHCV) and cognition in APOE-ε4 carriers and non-carriers. …”
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  2. 73622
  3. 73623
    “…Participants with MTL tau had higher tau SUVR in the neocortex but this was driven by the cerebellar reference region and was not present when using white matter normalization. CONCLUSIONS: In an Aβ− CU cohort, tau tracer binding in the mesial temporal lobe was age-related and associated with smaller hippocampi, but not with subjective or objective cognitive impairment. …”
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  4. 73624
    “…After covariate adjustment, lower attention (adjusted mean difference, −0.346; 95% CI, −0.609 to −0.083), hypotonicity (mean difference, 0.358; 95% CI, 0.055 to 0.662), and poorer quality of movement (mean difference, −0.344; 95% CI, −0.572 to −0.116) were observed in infants with white matter damage (WMD). Lower attention (mean difference, −0.233; 95% CI, −0.423 to −0.044) and hypotonicity (mean difference, 0.240; 95% CI, 0.014 to 0.465) were observed in infants with early CUS lesions. …”
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  5. 73625
    “…While studies on the effects and toxicology of particulate matter pollutants that are 2.5 microns or smaller in size (PM(2.5)) are abundant, understanding the factors that influence human behaviors against or the avoidance of exposure/contact to air polluted with high levels of PM(2.5) is lacking. …”
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  6. 73626
    “…We investigated maternal and residential environmental characteristics using a questionnaire and obtained personal indoor air samples to assess particulate matter (PM) and volatile organic compounds (VOCs) from 22–30 gestational weeks. …”
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  7. 73627
    “…CONCLUSION: Participant’s understanding of information related to genetics and biobanking provided during the consent process is affected by the volume of information as well as participant’s interest (or lack thereof) in the subject matter being discussed. We recommend that future studies undertaking biobanking and genomic research treat explanations of this kind of research to participants as an on-going process of communication between researchers, participants and the community and that explanatory imagery and video graphic storytelling should be incorporated into theses explanations as these have previously been found to facilitate understanding among those with low literacy levels. …”
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  8. 73628
    “…However, in low and low-middle Socio-demographic Index (SDI) areas, particulate matter pollution was the main risk factor leading to death from CRDs, while smoking was ranked first among the major risk factors in areas with middle, middle-high, or high SDI. …”
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  9. 73629
  10. 73630
    “…Amylase supplementation significantly improved the average daily feed intake, apparent total tract digestibility (ATTD) of dry matter, crude protein, gross energy, crude fat, ash, phosphorus, and calcium, and also increased the activities of jejunal trypsin, α-amylase, lipase, sucrase, maltase, γ-glutamyl transferase and alkaline phosphatase activities, improved the duodenal, jejunal and ileal morphology, and increased the relative mRNA expressions of the ZO-1, OCLN, SGLT1, and GLUT2 genes in the jejunum (p < 0.05), whereas it decreased the contents of isobutyric acid in cecal digesta, as well as acetic acid and isobutyric acid in colonic digesta (p < 0.05). …”
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  11. 73631
    “…The objective of this study was to evaluate the effect of partial or complete substitution of sorghum stubble with T. recurvata on liveweight change, metabolic profile, and complete blood count of goats fed increasing levels (0, 30, and 60%, dry matter basis) of T. recurvata. Thirty non-pregnant three-year-old, non-lactating, healthy mixed-breed goats, ten animals per treatment (T0, T30, and T60), were adapted to diets and facilities for 14 days (d-14). …”
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  12. 73632
  13. 73633
    “…METHODS: Efficient transfer of information relies on the integrity of white matter (WM) tracts in the human brain, we therefore applied machine learning approach to investigate whether the WM diffusion metrics can predict vulnerability to SD. …”
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  14. 73634
    “…Moreover, the proximate compositions, antioxidant and water holding capacity, and muscular structures of C. semilaevis fillets were all significantly affected after substituting 25% FM with DBLM (p < 0.05). Except for the dry matter, moisture, ash, crude fat, and protein contents were significantly higher in H25 C. semilaevis muscles. …”
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  15. 73635
    “…Furthermore, the results underscore how ‘small things’ matter in relation to how health professionals capture the patient’s individual values, need for care, information and involvement of relatives and that these are essential to ensure predictability and security and a good stay for older people and their relatives.…”
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  16. 73636
    “…Sandy soils (containing > 50% sand) are widely distributed worldwide and are characterized by their poor structure, low organic matter, weak hydraulic and nutritional properties, and low crop productivity. …”
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  17. 73637
    “…In addition to conductive polymers and organic charge transfer complexes, there is another class of organic matter called “conductive gels” that are used in the organic nanoelectronics industry. …”
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  18. 73638
    “…Using automated SC regions of interest (ROIs) for the full SC, cSC, and thoracic SC (tSC), the distribution volume ratio (DVR) was estimated using the brain gray matter as a reference region to evaluate SC SV2A density relative to the brain. …”
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  19. 73639
    “…Compared to controls, patients showed reduced brain volume in the right cerebellar lobules I-V (difference in means: −0.039% of total intracranial volume [TICV]; Cohen’s d = 0.83), cerebellar white matter (WM) (-0.105%TICV; d = 1.16), and brainstem (-0.167%TICV; d = 1.22), including pons (-0.102%TICV; d = 1.00), medulla (-0.036%TICV; d = 1.72), and midbrain (-0.028%TICV; d = 1.05). …”
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  20. 73640
    “…Treatments were arranged in a 2 × 3 + 1 factorial, with 2 levels of copper supplementation [6 and 12 mg/kg dry matter (DM)], 3 copper sources (CG = copper glutamate, CA = copper amino acid complex, and CS = copper sulfate), and a control with no added copper (NC). …”
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