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significantly increased » significant increase (Expand Search)
increased decrease » increased release (Expand Search), increased crash (Expand Search)
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1941
Flowchart of the study population.
Published 2025“…Identified early-onset FGR had a decreased risk of stillbirth (aOR 0.47, 95% CI 0.23–0.96), an increased risk of severe newborn distress (aOR 2.80, 95% CI 1.79–4.39) and severe childhood outcome (aOR 3.00, 95% CI 1.51–5.94), compared to non-identified SGA/FGR. …”
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1942
Calibration of standards.
Published 2024“…<i>B</i>.<i>erecta</i> has significantly improved rotenone-induced motor and nonmotor deficits (depression and cognitive impairments), increased antioxidant enzyme activity, and reduced neurotransmitter changes. …”
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1943
Appearance of standards under UV 365 nm.
Published 2024“…<i>B</i>.<i>erecta</i> has significantly improved rotenone-induced motor and nonmotor deficits (depression and cognitive impairments), increased antioxidant enzyme activity, and reduced neurotransmitter changes. …”
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1944
HPLC-Chromatogram of methanol fraction.
Published 2024“…<i>B</i>.<i>erecta</i> has significantly improved rotenone-induced motor and nonmotor deficits (depression and cognitive impairments), increased antioxidant enzyme activity, and reduced neurotransmitter changes. …”
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1945
Global trends of SAH in AYAs from 1990 to 2021.
Published 2024“…Particularly, the ASIR showed a continuous decline from 1990 to 2015, followed by a slight increase from 2014 to 2019 (APC: 0.14%, 95% CI: 0.03, 0.25), and accelerated growth from 2019 to 2021 (APC: 1.23%, 95% CI: 0.88, 1.57). …”
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1946
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1947
Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML
Published 2025“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”
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1948
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1949
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1950
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1951
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1952
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1953
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1954
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1955
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1956
Scheme of the SiTFarm tool–farm to sector level.
Published 2024“…At the sector level, the gross margin decreased by 12% in 2020 but increased by 99% in 2022 compared to the reference year 2018, highlighting the incredible price volatility over a short period. …”
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1957
GHG emissions in TAHs.
Published 2024“…At the sector level, the gross margin decreased by 12% in 2020 but increased by 99% in 2022 compared to the reference year 2018, highlighting the incredible price volatility over a short period. …”
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1958
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1959
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1960
Model vs. WKY group KEGG pathways (Top 15).
Published 2025“…</p><p>Results</p><p>From Day 1–5, compared with the WKY group, both the Model and SHR groups exhibited shortened incubation periods and slower average swimming speeds (<i><i>P</i></i> < 0.01); On day 6, compared with the WKY group, the Model group showed a significant decrease in the number of platform crossings (<i><i>P</i></i> < 0.05), time spent in the target quadrant (<i><i>P</i></i> < 0.05), and total distance traveled in the target quadrant (<i><i>P</i></i> < 0.05). …”