Search alternatives:
gap decrease » gain decreased (Expand Search), step decrease (Expand Search), _ decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
gap decrease » gain decreased (Expand Search), step decrease (Expand Search), _ decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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721
<b> </b> Rate of brain weight to body weight in different experimental groups. AlCl3 treatment caused a significant decrease in brain-to-body weight with respect to the control group (P < 0.01). 2 or 5 injections of BM-MSC extracted exosomes significantly protected against the deficit effect of Alcl3 on brain-to-body weight rate....
Published 2025“…AlCl3 treatment caused a significant decrease in brain-to-body weight with respect to the control group (P < 0.01). 2 or 5 injections of BM-MSC extracted exosomes significantly protected against the deficit effect of Alcl3 on brain-to-body weight rate. …”
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722
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723
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724
Flow chart of experimental protocol.
Published 2024“…SBP showed an increasing trend, but this was not statistically significant (<i>p</i> = 0.108). Interestingly, we observed significant decreases in arterial stiffness and PWV in POST_VM when comparing with PRE_VM (<i>p</i><0.001 and <i>p</i><0.001, respectively). …”
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725
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726
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727
Loss of MALS-1 function suppresses the mitochondrial and axon degeneration phenotypes that are caused by loss of RBM-26 function.
Published 2024“…For panel B, error bars represent the standard error of the mean (<i>n</i> = 25), and statistical significance was analyzed by one-way ANOVA with a Tukey post hoc test (*<i>p</i> < 0.05 and **<i>p</i> < 0.01). …”
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728
Overexpression of MALS-1 reduces mitochondria in the PLM axon and causes axon degeneration and axon overlap defects.
Published 2024“…For panels D and E, error bars represent the standard error of the proportion. Statistical significance in panel F was analyzed by Student’s <i>t</i> test, ***<i>p</i> < 0.0001 and error bars represent the standard error of mean. …”
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729
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730
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731
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732
Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients.
Published 2025“…<b>(E)</b> Following surgery, the PSD became steeper in the disconnected cortex, as indexed by a significant pre- to post-decrease in Spectral Exponent toward more negative values, observed in all patients (i.e., all negative post-pre differences for the disconnected cortex). …”
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733
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734
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735
Table 2 -
Published 2024“…Despite a global decrease over the last 30 years, youth crime remains prevalent. …”
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736
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737
Preference for the EIA – conjoint results.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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738
Sample attribute table.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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739
Subgroup analysis – Political affiliation.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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740
Sample scenario description.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”