LBM-based approach using synchronous transformation with a time step of 0.43s, PNGM-based method using asynchronous transformation with a 5s time step, VGA using explicit scheme wi... by Mouad Klai (20818364)

Demonstration of test steps. by Jin Zhu (164147)

Transition probabilities and class sizes for three-step LTA model (N = 432). by Carolin Oetzmann (11397968)

Different steps of the fabrication process. by Md. Abu Daud (21485629)

Results of the mediation model test for the elevated inhibition function in the relationship between elevated mindfulness level and decreased mobile phone addiction index. by Jizhao Li (5856650)

Decrease of cellular cAMP levels in response to a concentration range of melatonin treatments. by Cathryn S. D. Maienza (20629929)

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 image illustrates the five steps of the experiment. by Deborah Ribeiro Frazão (9188152)

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

Creep failure mode and sketch map of slow-step fractured rock. by Dengke Yang (842532)

Comparison of diffusion simulations: implicit scheme of the GDE with a 30-second time step (blue line), implicit scheme of the PNGM with α = 0.6 and a 15-second time step (green li... by Mouad Klai (20818364)

Results of normal and wide step width (cm). by Fateme Khorramroo (18086501)

“…Wide running significantly decreased the coordination variability in the ankle-knee sagittal during LR (p<0.001) and knee-hip sagittal during LR (p=0.007) and push-off (p=0.016). …”

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

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.…”

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.…”

Uganda 2023 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

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Uganda 2014 NCD risk factor STEPS survey data. by Ronald Kusolo (13200268)

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

Table 1_Multi-generational adaptation to Solanum nigrum increases reproduction and decreases microbial diversity of Aphis gossypii.docx by Peng Wang (34436)