Showing 40,001 - 40,020 results of 102,937 for search '(( 5 ((((ng decrease) OR (we decrease))) OR (a decrease)) ) OR ( 10 nm decrease ))', query time: 1.84s Refine Results
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    Landscape vulnerability index. by Jie Zhang (64655)

    Published 2023
    “…Results manifest that: (1) Overall, from 2005 to 2021, its spatial distribution features of landscape ecological risk level are relatively-high and high in the middle, and gradually reduce in the north-south direction, as shown below: the relatively-low ecological risk areas are widely spread, and the overall risk index decrease from 0.1944 to 0.1940; the area of low and high-level ecological risk areas show a decreasing trend, which decrease by 5.0102 km<sup>2</sup> and 1.3132 km<sup>2</sup> respectively; the area of relatively-low, middle, and relatively-high-level ecological risk areas increase by 0.2655 km<sup>2</sup>, 3.7803 km<sup>2</sup>, and 2.4852 km<sup>2</sup>, respectively. (2) The ecological risk value is correlated positively with spatial distribution, and the spatial aggregation forms are primarily low-low and high-high. (3) The ecological risk values in Engebei have a significant spatial correlation, and the spatial distribution shows a clustering effect, which is consistent with the spatial distribution. …”
  5. 40005

    Ecological risk classification. by Jie Zhang (64655)

    Published 2023
    “…Results manifest that: (1) Overall, from 2005 to 2021, its spatial distribution features of landscape ecological risk level are relatively-high and high in the middle, and gradually reduce in the north-south direction, as shown below: the relatively-low ecological risk areas are widely spread, and the overall risk index decrease from 0.1944 to 0.1940; the area of low and high-level ecological risk areas show a decreasing trend, which decrease by 5.0102 km<sup>2</sup> and 1.3132 km<sup>2</sup> respectively; the area of relatively-low, middle, and relatively-high-level ecological risk areas increase by 0.2655 km<sup>2</sup>, 3.7803 km<sup>2</sup>, and 2.4852 km<sup>2</sup>, respectively. (2) The ecological risk value is correlated positively with spatial distribution, and the spatial aggregation forms are primarily low-low and high-high. (3) The ecological risk values in Engebei have a significant spatial correlation, and the spatial distribution shows a clustering effect, which is consistent with the spatial distribution. …”
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    Supplementary Material for: Impact of Baroreflex Activation Therapy on Renal Function - A Pilot Study by Wallbach M. (2861837)

    Published 2014
    “…Proteinuria and albuminuria decreased from a median of 283.9 and 47.7 to 136.5 (p = 0.01) and 45.0 mg/g creatinine (p = 0.01) with pronounced effects in higher CKD stage III + IV compared to I + II (p < 0.01). …”
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    Common organizational patterns of connectivity modes. by Justine Y. Hansen (17041502)

    Published 2023
    “…<p>Each connectivity mode is represented as a normalized similarity <i>matrix</i>, where elements of the matrix index how similarly two cortical regions present a specific feature. …”
  13. 40013

    Neuropeptides Function in a Homeostatic Manner to Modulate Excitation-Inhibition Imbalance in <i>C. elegans</i> by Tamara M. Stawicki (255900)

    Published 2013
    “…<div><p>Neuropeptides play crucial roles in modulating neuronal networks, including changing intrinsic properties of neurons and synaptic efficacy. We previously reported a <i>Caenorhabditis elegans</i> mutant, <i>acr-2(gf)</i>, that displays spontaneous convulsions as the result of a gain-of-function mutation in a neuronal nicotinic acetylcholine receptor subunit. …”
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    Inactivation of Topo IV leads to a specific inability to replicate the terminus region of the chromosome. by Parisa D. Mokhtari (22209097)

    Published 2025
    “…<p>Replication profiles of growing wild-type, <i><i>gyrB</i></i><sup>ts</sup>, and <i><i>parE</i></i><sup>ts</sup> cells are plotted at 0, 1.5, and 3 hrs after temperature shift from 30°C to 43°C. …”
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    Table2_Correlates of physical activity habits in adolescents: A systematic review.docx by Tianyi Shao (12485027)

    Published 2023
    “…Our systematic review indicated the following: 1) boys performed more physical activity habits than girls, whereas girls preferred to engage in moderate-to-vigorous physical activity; 2) physical activity in adolescents decreased with age; 3) African American adolescents performed significantly more habitual physical activities than white adolescents; 4) adolescents with higher literacy had better physical activity habits; 5) support from parents, teachers, friends, and others helped adolescents in developing physical activity habits; 6) adolescents who spent less time participating in habitual physical activity had a higher body mass index; 7) adolescents who reported higher levels of self-efficacy and satisfaction with school sports tended to have stronger physical activity habits; 8) sedentary behavior, smoking, drinking, prolonged screen time, negative emotions, and excessive use of media technology were correlated with reduced habitual physical activity in adolescents. …”
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    Altered Microbiome Leads to Significant Phenotypic and Transcriptomic Differences in a Lipid Accumulating Chlorophyte by Lubna V. Richter (1506160)

    Published 2018
    “…C596 culture is shown to be better described as a microbial community. Perturbations to this microbial community showed a significant impact on phenotypes including sustained differences in growth rate and TAG accumulation of 2.4 and 2.5 fold, respectively. …”
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    Table2_Correlates of physical activity habits in adolescents: A systematic review.docx by Tianyi Shao (12485027)

    Published 2023
    “…Our systematic review indicated the following: 1) boys performed more physical activity habits than girls, whereas girls preferred to engage in moderate-to-vigorous physical activity; 2) physical activity in adolescents decreased with age; 3) African American adolescents performed significantly more habitual physical activities than white adolescents; 4) adolescents with higher literacy had better physical activity habits; 5) support from parents, teachers, friends, and others helped adolescents in developing physical activity habits; 6) adolescents who spent less time participating in habitual physical activity had a higher body mass index; 7) adolescents who reported higher levels of self-efficacy and satisfaction with school sports tended to have stronger physical activity habits; 8) sedentary behavior, smoking, drinking, prolonged screen time, negative emotions, and excessive use of media technology were correlated with reduced habitual physical activity in adolescents. …”
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