Search alternatives:
larger decrease » marked decrease (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search), mean decrease (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
_ step » _ stem (Expand Search)
larger decrease » marked decrease (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search), mean decrease (Expand Search)
a larger » a large (Expand Search), _ larger (Expand Search), _ large (Expand Search)
_ step » _ stem (Expand Search)
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Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training.
Published 2025Subjects: -
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Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS.
Published 2025Subjects: -
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Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes.
Published 2024“…<p>Increase in physical activity (100 step, 500 steps or 1000 steps) after the challenge according to decrease in screen time < or ≥60 minutes.…”
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Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas
Published 2025“…</p><p><br></p><p dir="ltr">The data are related to the scientific paper “Sibaja Leyton M. et al., (under review) Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas”.</p><p dir="ltr">Data are available as a csv file titled:</p><p dir="ltr">"Sibaja_Leyton_et_al_Dataset_Stingless_Bee_Colony_Losses_in_Latin_America.csv".…”
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Effective contact rate over time for the different modelling scenarios considered: fixed, continuously increasing, continuously decreasing and with a step-decrease.
Published 2025“…<p>Effective contact rate over time for the different modelling scenarios considered: fixed, continuously increasing, continuously decreasing and with a step-decrease.</p>…”
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A Locally Linear Dynamic Strategy for Manifold Learning.
Published 2025“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”