Fabric anisotropy evolution of numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)

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Stress concentration factor value in the numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)

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Logistics regression analysis for the associations between decreased kidney function (eGFR < 90 mL/min/1.73 m²) and sex-specific z-scores of anthropometric indices, weig... by Xinyun Chen (6655703)

Average contact force and percentage of strong contact force under different conditions: (a) different particle shapes, (b) different particle sizes. by Yongfeng Zhu (7361045)

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The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

Comprehensive prediction process of shape errors. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Maximum IFN concentrations are decreased in severe patients. by Sonia T. Gazeau (21512764)

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Nineteen SNPs with significant association (<i>P < </i>5 × 10⁻⁸) with risk on minJSW decrease in knee OA. by Mieke L. M. Bentvelzen (21594442)

Numerical samples composed of elongated ellipsoids before and after triaxial compression. by Yongfeng Zhu (7361045)

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Actual measurement of shape errors. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

The distribution map of flat spectral shape index. by Desheng Xie (21439869)

Modal shape of the gyration platform. by Shan Gao (46743)

Shape error manual calculation process. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Shape error measurement results statistics. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

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Significance analysis data. by Lei Zhu (16642)

“…The results indicate that: (1) The manifestation of mining pressure in gangue backfill mining is influenced by factors such as mining height and backfill collapse ratio; (2) Under the support of coal gangue, the concentrated stress in the coal seam significantly decreases, forming an arched shape according to the mining stages; (3) The range of plastic failure in the coal seam remains relatively stable under gangue backfill mining, with the plastic zone of the roof plate exhibiting a strip-like distribution; (4) Both range analysis and variance analysis revealed that the sensitivity ranking is backfill collapse ratio > mining height > elastic modulus. …”