Publications by authors named "F H Zhu"

Micro air vehicles (MAVs) capable of high-speed autonomous navigation in unknown environments have the potential to improve applications like search and rescue and disaster relief, where timely and safe navigation is critical. However, achieving autonomous, safe, and high-speed MAV navigation faces systematic challenges, necessitating reduced vehicle weight and size for high-speed maneuvering, strong sensing capability for detecting obstacles at a distance, and advanced planning and control algorithms maximizing flight speed while ensuring obstacle avoidance. Here, we present the safety-assured high-speed aerial robot (SUPER), a compact MAV with a 280-millimeter wheelbase and a thrust-to-weight ratio greater than 5.

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Idiopathic pulmonary fibrosis (IPF) is a progressive and irreversible lung disease with high mortality and limited treatment options. While single-dose bleomycin-induced models are commonly used to investigate the pathogenesis of IPF, they fail to adequately replicate the complex pathological features in human patients, thereby hindering comprehensive investigations. Previous studies utilizing repetitive bleomycin injections have demonstrated a closer resemblance to human IPF pathology; however, the time- and resource-intensive nature of this approach presents significant drawbacks.

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Article Synopsis
  • PFAS are toxic pollutants that are tough to break down due to strong chemical bonds.
  • Researchers found a method using PTFE, a harmless material, as a piezocatalyst to degrade PFAS effectively.
  • This technique achieved a 93.4% degradation of PFOA and works on other PFAS compounds, offering a promising solution for cleaning contaminated water.
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Although iron-doped hydroxyapatite (Fe-HAP) and its composites have been reported to immobilize arsenic (As), lead (Pb), and cadmium (Cd), its practical application is limited by the inefficient release of iron and phosphate. In this study, Ochrobactrum anthropic, a phosphate-solubilizing bacterium isolated from a lead-zinc smelting site, was employed to enhance multi-heavy metal immobilization in Fe-HAP-amended soils. O.

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Objective: To develop a nomogram prediction model for occult lymph node metastasis (LNM) in patients with cT1-2N0 buccal squamous cell carcinoma (BSCC), then to compare its predictive efficacy against depth of invasion (DOI).

Methods: Clinical data were retrieved for patients undergoing primary tumor resection and neck dissection from June 2020 to August 2024. Based on the risk factors screened by Lasso regression, we established four candidate models: logistic regression, random forest, support vector machine, and XGboost.

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