Search alternatives:
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
mean decrease » a decrease (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
mean decrease » a decrease (Expand Search)
-
11481
-
11482
Effects of increasing temperature and, CO<sub>2</sub> on quality of litter, shredders, and microorganisms in Amazonian aquatic systems
Published 2017“…We hypothesized that simulated climate change (warming and elevated CO<sub>2</sub>) would: i) decrease leaf-litter quality, ii) decrease survival and leaf breakdown by shredders, and iii) increase microbial leaf breakdown and fungal biomass. …”
-
11483
-
11484
-
11485
-
11486
-
11487
-
11488
Summary maps of hedonic and aversive shifts produced by GABA-A agonism and AMPA antagonism.
Published 2010“…Criteria for including a site as hedonic was an increase >10 in ‘liking’ reactions and a decrease or no change in ‘disliking’ reactions. …”
-
11489
Depth and unit sub-grouping improve performance and neural prediction. (A) depth was added by stacking RNNs while controlling the number of trainable parameters (the number of hidden units per layer is indicated in white). (B) Deeper models have lower word error rate. (C) Deeper models also achieved better predictive power for brain responses, when units in each layer were used to create separate predictors (solid lines). However, increasing the number of predictors derived from flat models by K-means clustering also increased predictive power (dotted lines), with the highest predictive power for the flat localist model at K = 32. (D) K-means clustering applied to deep models (ignoring the differentiation of units into different layers). While depth generally improved predictive power of GloVe models, it did not seem to have a clear effect on localist models. (E) Acoustic-phonetic structure in the learned output mappings is found even in deep localist models, but it decreases as a
Published 2025“…While depth generally improved predictive power of GloVe models, it did not seem to have a clear effect on localist models. (E) Acoustic-phonetic structure in the learned output mappings is found even in deep localist models, but it decreases as a</p>…”
-
11490
Cooperative binding of Isw1a to DNA.
Published 2012“…At 0.7 pN (trace (3)), while the length of the DNA bound to bead 2 is unchanged (except for a quick transient decrease at ∼430 sec blown up in the inset), the DNA anchored to bead 1 exhibits a rapid decrease in extension. …”
-
11491
Effect of let-7a on tumorigenicity in xenograft models.
Published 2010“…(<b>B</b>) Western blotting showed that the expression of E2F2 and CCND2 decreased dramatically in tumors excised from PC3-let-7a-GFP-tumor-bearin mice compared to those with PC3-GFP tumors. β-actin was used as an internal control. …”
-
11492
Binding of PregOBP56a to <i>N</i>-phenyl-1-naphthylamine (1-NPN) and potential ligands derived from chicken meat.
Published 2013“…Values are means ± standard deviation, n = 3. C, Typical emission spectra following the addition of a competitor to PregOBP56a bound to 1-NPN. …”
-
11493
-
11494
-
11495
-
11496
-
11497
-
11498
-
11499
-
11500