Exercise test characteristics for identifying stenosis ≥ 50% in any limb among the 60 limbs with normal ABIs (> 0.91). by O. Stivalet (6890189)

The Dose–Response Decrease in Heart Rate Variability: Any Association with the Metabolites of Polycyclic Aromatic Hydrocarbons in Coke Oven Workers? by Xiaohai Li (136211)

“…After adjustment for potential confounders, elevation per interquartile range (IQR) (1.81 µg/mmol creatinine) of urinary 2-hydroxynaphthalene was associated with a 5.46% (95% CI, 2.50–8.32) decrease in standard deviation of NN intervals (SDNN). …”

Test characteristics for identifying stenosis ≥ 50% in any limb from aorta till popliteal artery in the overall population (<i>n = 126 limbs</i>). by O. Stivalet (6890189)

Hsp90 inhibition decreases the adipogenic transcriptional program without any effect on cytotoxicity. by Sébastien Desarzens (547289)

Predator phylogenetic diversity decreases predation rate via antagonistic interactions by Andrew MacDonald (421949)

Kat60 lacking the MIT domain or the MIT domain and linker region detectably colocalizes with only a few, if any, microtubules in cells. by Kyle D. Grode (725568)

Influenza infected HLA transgenic mice show no reactivity towards any of the immunogenic peptides. by Sara Ram Pedersen (843509)

The cytoplasmic leaflet of the TGN in the Neo1p-depleted <i>cfs1</i>Δ <i>erd1</i>Δ mutant contains PS and decreased level of PI4P. by Mamoru Miyasaka (9187916)

Stability scores with refinement and no USM decreases. by Jedediah M. Singer (10331212)

“…<p>Effects of guided and random substitutions within GM designs with a maximum sequence identity to any expert-designed protein of less than 50%, when guided substitutions are not permitted to decrease USM EC₅₀ predictions.…”

Is there any relation between anthropometric indices and decrease in seminal parameters? by Juliana Christofolini (6851441)

Demonstration of the effects of decreased size at metamorphosis on amphibians by Tyrone B. Hayes (29098)

Stability scores with refinement, no USM decreases, no W. by Jedediah M. Singer (10331212)

“…<p>Effects of guided and random substitutions within GM designs with a maximum sequence identity to any expert-designed protein of less than 50%, when guided substitutions are not permitted to decrease USM EC₅₀ predictions and neither guided nor random substitutions are allowed to change amino acids to tryptophan.…”

Stability scores with refinement, no USM decreases, no AFILMVWY. by Jedediah M. Singer (10331212)

“…<p>Effects of guided and random substitutions within GM designs with a maximum sequence identity to any expert-designed protein of less than 50%, when guided substitutions are not permitted to decrease USM EC₅₀ predictions and neither guided nor random substitutions are allowed to change amino acids to alanine, phenylalanine, isoleucine, leucine, methionine, valine, tryptophan, or tyrosine.…”

Configuration of control site trapping webs illustrating the distribution of Rhodamine B marked captures (blue), the bait distribution zone (dashed line), and 90% (red) and 50% (gr... by James C. Beasley (392355)

Configuration of treatment site trapping webs illustrating the distribution of Rhodamine B marked captures (blue), the bait distribution zone (dashed line), and 90% (red) and 50% (... by James C. Beasley (392355)

A low dose of BCNU decreases division and promotes differentiation of O-2A/OPCs by Joerg Dietrich (35101)

Mulberry-extract improves glucose tolerance and decreases insulin concentrations in normoglycaemic adults: Results of a randomised double-blind placebo-controlled study by Mark Lown (3772432)

Decreased expression of maturation but not secretory stage-specific genes. by Ramaswamy Sharma (247989)

“…Secretory stage genes (<i>Amel</i>, <i>Ambn</i>, <i>Enam and Mmp20</i>) did not exhibit any changes in expression.</p>…”

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)