Publications by authors named "Qingnan Huang"

Purpose To evaluate the safety and efficacy of US-guided thermal ablation in the treatment of Bethesda III thyroid nodules with negative eight-gene panel testing results. Materials and Methods This retrospective single-center study included patients with thyroid nodules diagnosed as Bethesda category III (atypia of undetermined significance) at fine-needle aspiration biopsy and with negative eight-gene testing results who were treated with US-guided microwave ablation (MWA) between July 2020 and September 2023. Incidence of complications, technical success rate (TSR), volume reduction rate (VRR), nodule recurrence, and thyroid function were evaluated over a follow-up period of 2 years.

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This paper investigates the problem of event-triggered mechanism(ETM)-based sliding-mode fault-tolerant control (FTC) for a six-rotor Unmanned Aerial Vehicle (UAV) with dead zone input (DZI) cases, considering potential actuator and sensor faults. Initially, a dynamic ETM is designed, followed by the development of a non-fragile observer utilizing this designed ETM. An integral sliding surface (SS) is then designed in the observation space, and the system is augmented and treated as a variable time delay system.

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A facile hydrothermal process has been developed to synthesize the α-FeO nanowire arrays with a preferential growth orientation along the [110] direction. The W/α-FeO/FTO memory device with the nonvolatile resistive switching behavior has been achieved. The resistance ratio (R/R) of the W/α-FeO/FTO memory device exceeds two orders of magnitude, which can be preserved for more than 10s without obvious decline.

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In this paper, the problem of actuator and sensor faults of a quadrotor unmanned aerial vehicle (QUAV) system is studied. In the system fault model, time delay, nonlinear term, and disturbances of QUAV during the flight are considered. A fault estimation algorithm based on an intermediate observer is proposed.

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As a noninvasive method, circulating tumor cell (CTC) provides ideal liquid biopsy specimens for early cancer screening and diagnosis. CTCs detection in breast cancer is correlated with patient prognosis such as disease-free survival (DFS) and overall survival (OS). Besides, accumulating evidence supported that CTCs count may be indicator for chemotherapy response as well.

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There is a wide variety of kinds of lipids, and complex structures which determine the diversity and complexity of their functions. With the basic characteristic of water insolubility, lipid molecules are independent of the genetic information composed by genes to proteins, which determine the particularity of lipids in the human body, with water as the basic environment and genes to proteins as the genetic system. In this review, we have summarized the current landscape on hormone regulation of lipid metabolism.

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To address the problem of phase unwrapping for interferograms, a deep learning (DL) phase-unwrapping method based on adaptive noise evaluation is proposed to retrieve the unwrapped phase from the wrapped phase. First, this method uses a UNet3+ as the skeleton and combines with a residual neural network to build a network model suitable for unwrapping wrapped fringe patterns. Second, an adaptive noise level evaluation system for interferograms is designed to estimate the noise level of the interferograms by integrating phase quality maps and phase residues of the interferograms.

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Breast cancer is one of the leading causes of mortality in females. Over the past decades, intensive efforts have been made to uncover the pathogenesis of breast cancer. Interleukin-6 (IL-6) is a pleiotropic factor which has a vital role in host defense immunity and acute stress.

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A robust phase unwrapping algorithm based on a rank information filter is proposed to retrieve the unambiguous unwrapped phase from noisy wrapped phase images. First, a recursive phase unwrapping program, based on a rank information filter, is proposed to transform the problem of phase unwrapping for wrapped phase into the problem of the state estimation for state variables under the framework of a rank information filter, where a local phase gradient estimator based on the amended matrix pencil model (AMPM) is used to obtain phase gradient information required by the recursive phase unwrapping program. Second, an efficient path-following strategy based on heap-sort is used to guide the phase unwrapping path, which ensures that the recursive phase unwrapping program based on a rank information filter unwraps wrapped phase images along the path from high-quality pixels to low-quality pixels.

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Breast cancer is one the most common malignancies and leading cause of cancer-related mortality in women. Recent studies suggested that hypercholesterolemia may be the potential modifiable risk factors for breast cancer. Cholesterol was well-known for its strong association with cardiovascular disease for long.

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Objective To investigate the correlations between the expression of vascular endothelial growth factor (VEGF) and thrombospondin 1 (TSP-1) in breast cancer and the prognosis. Methods Immunohistochemical staining was used to detect the expression of VEGF and TSP-1 in 160 cases of breast cancer tissues and adjacent tissues, and the relationships between them were analyzed. Results The expression of TSP-1 significantly decreased and the expression of VEGF significantly increased in breast cancer tissues.

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Synopsis of recent research by authors named "Qingnan Huang"

  • - Qingnan Huang's recent research encompasses fields such as control systems for unmanned aerial vehicles (UAVs), the synthesis of nanomaterials for memory devices, and cancer biology, particularly focusing on circulating tumor cells and lipid metabolism.
  • - Key findings include the development of fault-tolerant control mechanisms for UAVs that account for actuator faults and dead zones, alongside successful hydrothermal synthesis of α-FeO nanowires demonstrating significant nonvolatile resistive switching behavior.
  • - In the health sector, Huang investigates the clinical significance of circulating tumor cells in breast cancer prognosis and explores the role of hormones in lipid metabolism, suggesting complex interactions between these factors and cancer development.