A Wettability Gradient Synergistic Bionic Wedge-Shaped Track for Ultrafast and Long-Distance Spontaneous Transport of Droplets by Xinghai Zhong (21450285)

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Schematic of the under-sink filter and POU UVC LED setup installed in each household. by Hania Zanib (21864477)

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Paired influent and effluent concentrations of total coliforms (panel A), heterotrophic plate count (panel B), and male-specific coliphages (panel C) across POU UVC LED devices ins... by Hania Zanib (21864477)

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Number of distinct colonies on HPC plates (representing diversity of heterotrophic bacteria) in paired influent and effluent samples. by Hania Zanib (21864477)

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Examples of HPC plates from four different households showing variable removal depending on the microbial composition of the influent sample. by Hania Zanib (21864477)

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Summary of POU UVC LED influent and effluent microbial water quality and log-removals. E. coli was not detected in any influent or effluent samples. Total coliform concentrations s... by Hania Zanib (21864477)

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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.…”

Significant condition. by Junxia Zhou (14381598)

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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.…”

Additional within-case comparison information. by Ryan J. Treves (13527735)

“…While the state’s introduction of $3,000 mandatory minimum penalties for certain Clean Water Act effluent and reporting violations by permitted wastewater facilities reflected a significant step-up in enforcement, the policy also allowed small communities with financial hardship to redirect penalties toward investments in compliance. …”

POTW sample summary. by Ryan J. Treves (13527735)

“…While the state’s introduction of $3,000 mandatory minimum penalties for certain Clean Water Act effluent and reporting violations by permitted wastewater facilities reflected a significant step-up in enforcement, the policy also allowed small communities with financial hardship to redirect penalties toward investments in compliance. …”

TH5487 decreases RSV replication in lungs. by Lang Pan (5145221)

BST2 overexpression decreased RSV multiplication. by Katherine Marougka (13015146)

Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i>₂, in %). by Hong Zhang (25820)

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Results of significance for regression factors. by Junxia Zhou (14381598)

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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)