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Article
Open AccessIn-tube micro-pyramidal silicon nanopore for inertial-kinetic sensing of single molecules
Electrokinetic force has been the major choice for driving the translocation of molecules through a nanopore. However, the use of this approach is limited by an uncontrollable translocation speed, resulting in...
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Article
Open AccessDynamic Tunable Liquid-Core Photonic Crystal Fiber Sensor Based on Graphene Plasmon
The combination of photonic crystal fiber (PCF) and graphene-supporting surface plasmon polaritons (SPP) presents a new approach to achieving a plasmonic sensor with adjustable properties in the terahertz (THz...
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Article
Mixed-precision block incomplete sparse approximate preconditioner on Tensor core
In this paper, we propose and implement a mixed-precision Block-ISAI preconditioner for solving linear systems from multiphysics areas. By leveraging FP32 computing, our approach accelerates the sparse matrix–...
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Article
Stabilization of hypersonic boundary layer by combining micro-blowing and a porous coating
The extensive involvement of blowing in ablation and transpiration cooling directly influences the hypersonic boundary layer (HBL) transition. This work investigates the coupled effect of stabilization through...
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Article
Open AccessLiquid-shaped microlens for scalable production of ultrahigh-resolution optical coherence tomography microendoscope
Endoscopic optical coherence tomography (OCT) is a valuable tool for providing diagnostic images of internal organs and guiding interventions in real time. Miniaturized OCT endoscopes are essential for imaging...
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Chapter and Conference Paper
Sparse Reconstruction Method for Flow Fields Based on Mode Decomposition Autoencoder
The accurate reconstruction of global flow fields from sparse measurements has been a longstanding challenge in which the quantity and positioning of measurements play a critical role. To address this issue, w...
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Article
Open AccessLabel-free biosensing with singular-phase-enhanced lateral position shift based on atomically thin plasmonic nanomaterials
Rapid plasmonic biosensing has attracted wide attention in early disease diagnosis and molecular biology research. However, it was still challenging for conventional angle-interrogating plasmonic sensors to ob...
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Article
Open AccessCRISPR-powered optothermal nanotweezers: Diverse bio-nanoparticle manipulation and single nucleotide identification
Optothermal nanotweezers have emerged as an innovative optical manipulation technique in the past decade, which revolutionized classical optical manipulation by efficiently capturing a broader range of nanopar...
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Article
Pore Structure Characteristics and Evaluation of Carbonate Reservoir: A Case Study of the Lower Carboniferous in the Marsel Exploration Area, Chu-Sarysu Basin
The pore structure of a carbonate reservoir determines the fluidity and storage characteristics of hydrocarbon, and it is vital for reservoir evaluation and oil and gas production. The Visean and Serpukhovian ...
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Article
Open AccessDeep learning for inverse design of low-boom supersonic configurations
Mitigating the sonic boom to an acceptable stage is crucial for the next generation of supersonic transports. The primary way to suppress sonic booms is to develop a low sonic boom aerodynamic shape design. Th...
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Article
Open AccessChemo-drugs in cell microparticles reset antitumor activity of macrophages by activating lysosomal P450 and nuclear hnRNPA2B1
Macrophages in tumors (tumor-associated macrophages, TAMs), a major population within most tumors, play key homeostatic functions by stimulating angiogenesis, enhancing tumor cell growth, and suppressing antit...
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Chapter and Conference Paper
Rectifying Noisy Labels with Sequential Prior: Multi-scale Temporal Feature Affinity Learning for Robust Video Segmentation
Noisy label problems are inevitably in existence within medical image segmentation causing severe performance degradation. Previous segmentation methods for noisy label problems only utilize a single image whi...
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Chapter and Conference Paper
udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge
Physics-Informed Neural Networks (PINNs) have demonstrated their effectiveness in solving partial differential equations (PDEs) by integrating PDE knowledge into the neural network training process. However, p...
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Article
Open AccessCarbon nanotube sponges filled sandwich panels with superior high-power continuous wave laser resistance
Effect of highly-porous and lightweight carbon nanotube sponges on the high-power continuous wave laser ablation resistance of the sandwich panel was investigated experimentally. As a comparison, thermal respo...
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Article
Open AccessDiversity analysis of leaf endophytic fungi and rhizosphere soil fungi of Korean Epimedium at different growth stages
Rhizosphere fungi and endophytic fungi play key roles in plant growth and development; however, their role in the growth of Epimedium koreanum Nakai at different stages remains unclear. Here, we used the Illumina...
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Article
Spatio-temporal evolution and influencing factors of geopolitical relations among Arctic countries based on news big data
Global warming has caused the Arctic Ocean ice cover to shrink. This endangers the environment but has made traversing the Arctic channel possible. Therefore, the strategic position of the Arctic has been sign...
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Article
Open AccessAuthor Correction: Super-achromatic monolithic microprobe for ultrahigh-resolution endoscopic optical coherence tomography at 800 nm
The original version of this Article contained an error in the third sentence of the ‘Animal studies’ section of the Methods, which incorrectly read ‘The sheep anesthesia was initiated with ketamine (25 mg kg−1) ...
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Article
Open AccessSuper-achromatic monolithic microprobe for ultrahigh-resolution endoscopic optical coherence tomography at 800 nm
Endoscopic optical coherence tomography (OCT) has emerged as a valuable tool for advancing our understanding of the histomorphology of various internal luminal organs and studying the pathogenesis of relevant ...
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Article
Open AccessRobust and fast characterization of OCT-based optical attenuation using a novel frequency-domain algorithm for brain cancer detection
Cancer is known to alter the local optical properties of tissues. The detection of OCT-based optical attenuation provides a quantitative method to efficiently differentiate cancer from non-cancer tissues. In p...
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Article
Structure overset grid method and its applications to simulation of multi-body separation
This paper proposes an automatic structure overset grid method, which utilizes the hole-surface optimization with one-step searching, wall-surface grid oversetting, and dynamic overset grid approaches to achie...
