Search alternatives:
significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
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HFD decreases intermediate-term memory.
Published 2025“…(C) Food intake was not significantly different between ND- and HFD-fed flies during the 1 hour. …”
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Metabolites with decreasing levels during the development.
Published 2025“…<p>Temporal profiles of polar metabolites and lipids with SCN levels significantly decreasing from E19 to P28. Rhythmicity was determined by eJTK; full or dashed lines depict the profiles that either did or did not pass the significance threshold (FDR-adjusted <i>P</i> < 0.05), respectively.…”
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Trend of specific mental health disorders for all services utilization between 2016 and 2022.
Published 2024Subjects: -
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Image1_Association between mental health and male fertility: depression, rather than anxiety, is linked to decreased semen quality.tif
Published 2024“…</p>Results<p>Status of depression was negatively associated with semen quality parameters, whereas no statistically significant association was recognized between anxiety and semen quality except that sperm concentration was decreased by 25.60 (95% CI, 1.226 to 49.965, P=0.040) ×10<sup>6</sup>/ml in moderate to severe anxiety group referring to normal group. …”
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STL Linear Combination Forecast Graph.
Published 2025“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”
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