Showing 981 - 1,000 results of 14,620 for search '(( significant increase decrease ) OR ( significant ((time decrease) OR (teer decrease)) ))*', query time: 0.45s Refine Results
  1. 981

    Strength test results of semi-circular specimens. by Yining Wang (432154)

    Published 2025
    “…Orthogonal experiments determined the optimal mixing parameters as a mixing temperature of 170°C, dry mixing time of 180 s, and wet mixing time of 240 s. Experimental results show that the ZM modifier significantly improves the dynamic stability and rutting resistance of the mixture, with dynamic stability increasing to 5245 and rut depth decreasing to 2.26 mm at a dosage of 0.5%. …”
  2. 982

    Bending test results of beam specimens. by Yining Wang (432154)

    Published 2025
    “…Orthogonal experiments determined the optimal mixing parameters as a mixing temperature of 170°C, dry mixing time of 180 s, and wet mixing time of 240 s. Experimental results show that the ZM modifier significantly improves the dynamic stability and rutting resistance of the mixture, with dynamic stability increasing to 5245 and rut depth decreasing to 2.26 mm at a dosage of 0.5%. …”
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    Prescription data. by Dainty Ei (22265317)

    Published 2025
    Subjects:
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    HFD decreases intermediate-term memory. by Tong Yue (6033305)

    Published 2025
    “…<p>(A) The survival rate of 10d <i>Canton-S</i> fed with ND or HFD was observed for 7 days. There was no significant decline in the survival rate in flies fed with HFD compared with ND (n = 10 vials, containing 20 flies at each time point). …”
  11. 991

    Decomposition of time scries plot. by Xiangjuan Liu (618000)

    Published 2025
    “…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …”
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    Time evolution trend of green finance level. by Dalai Ma (17847101)

    Published 2025
    “…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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