Study variables. by Amit Timilsina (15203538)

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Descriptive statistics. by Amit Timilsina (15203538)

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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)

Correlation analysis of the change of executive functions with the decrease of mobile phone addiction index and the increase of mindfulness level. 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)

Diagram of the mediating model of the relationship between increased inhibition in the increase of mindfulness level and the decrease of mobile phone addiction index. by Jizhao Li (5856650)

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)

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)

The role of LytA in functionally linking decreased NAM <i>O-</i>acetylation with <i>hsdS</i> inversions and colony phase. by Xiu-Yuan Li (3328056)