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Major hyperparameters of RF-SVR.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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Pseudo code for coupling model execution process.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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Major hyperparameters of RF-MLPR.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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Results of RF algorithm screening factors.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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Schematic diagram of the basic principles of SVR.
Published 2024“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R<sup>2</sup> value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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228
Table 1_Effects of grassland degradation on soil ecological stoichiometry and soil microbial community on the South of the Greater Khingan Mountains.docx
Published 2024“…For fungal functional guilds, the relative abundance of pathotrophs increased while saprotrophs decreased significantly with increasing severity of degradation. …”
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229
Data Sheet 1_Analysis of pharmacotherapeutic approaches for multiple myeloma and correlated renal and pulmonary impairments: a retrospective real-world registry study in the Greate...
Published 2025“…Background<p>Multiple myeloma (MM) is a plasma cell malignancy with significant unmet medical needs, particularly in the treatment of relapsed and refractory disease. …”
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230
Model-derived results show increased social following in individuals with disrupted utility-based risky decision-making.
Published 2024“…Post-hoc analyses revealed that the difference was specific to individuals with insula lesions (NC vs insula: <i>P</i> = 0.0043; NC vs dACC: <i>P</i> = 0.14, BF<sub>null</sub> = 1.17; dACC vs insula: <i>P</i> = 0.36, BF<sub>null</sub> = 1.71). <b>(d)</b> We tested a link between decreased utility-based risk processing (measured by negative log likelihood in Solo trials; −LL) and increased ω<sub>follow</sub>. …”
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Minimal data set.
Published 2025“…Results indicated that both the DFAT and DFAT + bFGF groups exhibited significantly reduced glottic gaps, increased collagen deposition, and decreased TUNEL-positive apoptotic cells compared to controls. …”
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S1 Graphical abstract -
Published 2024“…Furthermore, the median aortic compliance (AC, 10<sup>-2</sup>mm/mmHg) and aortic distensibility (AD, 10<sup>-3</sup>mmHg<sup>-1</sup>) in individuals with T2DM were 4.07 (2.28–7.44) and 3.08 (1.57–5.26), respectively, lower than those in the control group, with median values of 6.40 (3.08–10.75) and 5.33 (2.80–9.79). A longer diabetes duration was linked to a greater ASI (r = 0.43, p < 0.05), while the AS decreased (r = -0.37, p < 0.05).…”
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Flowchart of the study.
Published 2024“…At genus level, an increase in the relative abundances of <i>Bergeyella</i> and <i>Corynebacterium</i> were significantly associated with a greater reduction in bleeding in the Placebo group and with less reduction in bleeding in the Probiotic group, respectively. …”
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Package alternatives for deli meat.
Published 2025“…<div><p>Consumer food waste remains a significant concern in the United States, where approximately 40% of food goes uneaten, leading to major economic and environmental consequences. …”
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The study timeline.
Published 2025“…<div><p>Consumer food waste remains a significant concern in the United States, where approximately 40% of food goes uneaten, leading to major economic and environmental consequences. …”
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Attitude towards NTDs in the study Area.
Published 2025“…Quantitative data were analyzed using chi-square tests. Findings revealed a significant increase in NTDs awareness post-intervention (p < 0.05). …”
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Dataset of results.
Published 2025“…Quantitative data were analyzed using chi-square tests. Findings revealed a significant increase in NTDs awareness post-intervention (p < 0.05). …”