Publications by authors named "Yuping Duan"

Background: Promoting coronavirus disease 2019 (COVID-19) vaccination is crucial among older adults, particularly those geriatric. This study aimed to analyze the association between chronic conditions, multimorbidity, and vaccination status in adults aged ≥80 years old to provide recommendations for vaccine-preventable diseases.

Methods: A cross-sectional study was conducted in Beijing from April 5, 2023, to May 5, 2023, including participants aged ≥80 years old who did not receive the booster COVID-19 vaccination.

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This retrospective study included 311 patients who had increased nuchal translucency (NT ≥3 mm) or nuchal septations (NSs) during the first trimester from January 2018 to December 2020. These patients were divided into 3 groups: (1) patients with NT thickness between 3 and 5 mm and without NS (NT 3-5 mm group, n = 131), (2) patients with NT thickness >5 mm and without NS (NT >5 mm group, n = 105), and (3) patients with NS (NS group, n = 75). The incidence of abnormal pregnancy outcomes was 92.

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Respiratory syncytial virus (RSV) is an enveloped, negative-sense, single-stranded RNA virus of the Orthopneumovirus  genus of the Pneumoviridae family in the order Mononegavirales. RSV can cause acute upper and lower respiratory tract infections, sometimes with extrapulmonary complications. The disease burden of RSV infection is enormous, mainly affecting infants and older adults aged 75 years or above.

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  • * A population-based study from October 2021 to March 2022 involved active surveillance, sampling, and health surveys to estimate the disease burden, revealing approximately 52,960 ARI cases, including 2,529 severe ARI (SARI) cases.
  • * The findings showed higher incidence rates of ARI in those under 50 years and SARI in those 50 and older, underlining the importance of vaccination and informing health policy decisions.
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  • * The microparticles use an adaptive platform to control their size and shape through adjustments in magnetic field intensity and other parameters, allowing for precise movement in response to external magnetic fields.
  • * These innovative microrobots can navigate in the human body, enabling applications in targeted drug delivery and medical procedures due to their biodegradable nature and ability to move over obstacles.
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  • Diagnosing malignant skin tumors is difficult due to their confusing visual features, necessitating a more precise approach that utilizes diverse clinical data sources, including images and patient history.
  • The proposed model, Remix-Former++, integrates three branches that focus on clinical images, dermoscopy images, and patient metadata, improving accuracy in identifying skin tumors through specialized attention techniques.
  • With impressive results, including a 5.3% increase in F1 score and 92.6% overall classification accuracy on a large dataset, this model shows potential for practical use in clinical settings, outperforming both previous methods and expert dermatologists.
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  • There is a growing need for innovative storage methods due to increasing digital data, and DNA offers a promising option due to its stability and high storage capacity.
  • The paper discusses Explorer, a DNA coding algorithm that efficiently addresses biochemical challenges like homopolymers and GC content, and introduces Codeformer, a fast decoding algorithm that enhances decoding efficiency.
  • Results show that Explorer improves encoding efficiency by over 10% compared to other methods, while Codeformer can decode DNA sequences more than twice as fast as traditional algorithms, achieving over 99% accuracy when combined with Reed-Solomon coding.
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The attention network test (ANT), developed based on the triple-network taxonomy by Posner and colleagues, has been widely used to examine the efficacy of alerting, orienting and executive control in clinical and developmental neuroscience studies. Recent research suggests the imperfect reliability of the behavioural ANT and its variants. However, the classical ANT fMRI task's test-retest reliability has received little attention.

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  • Non-line-of-sight (NLOS) imaging aims to create 3D images of hidden scenes using photon information from multiple reflections, but faces challenges with noise and distortion due to being an ill-posed problem.
  • This paper presents new reconstruction models that use curvature regularization techniques, improving the accuracy of image reconstruction.
  • The authors develop optimization algorithms based on the ADMM approach, which are efficient enough to run on GPUs, achieving high performance in both synthetic and real datasets, especially under compressed sensing conditions.
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  • - Environmental changes can induce endoplasmic reticulum (ER) stress, leading to the accumulation of misfolded proteins like amyloid-β (Aβ), which may play a role in developing pre-eclampsia (PE).
  • - The study compared placental tissues from normal pregnant women and those with late-onset PE, finding higher Aβ and autophagy-related protein levels in PE tissues, alongside a notable increase in autophagosome formations.
  • - The research identified 17 differentially expressed genes related to the unfolded protein response (UPR) in PE cases, with calnexin (CANX) being particularly elevated, suggesting that ER stress-induced Aβ leads to increased autophagy in
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  • * Common symptoms of the virus include fever, cough, and sore throat, while those with reinfections or four vaccine doses in six months face less severe outcomes.
  • * Public health strategies should use online surveys for data collection and prioritize vaccinations for older adults and those with existing health issues.
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  • Advances in electromagnetic wave-absorbing materials are leading to the design of more sophisticated metamaterial structures, but traditional designs face challenges in broadening their effective absorption range.
  • This paper introduces an optimized moth-eye bionic hexagonal structure that incorporates an Archimedean tiling structure and varying dimensions of primitives to achieve a multifrequency absorption mechanism.
  • The optimized structure demonstrates an effective absorption capability of 10.26 GHz at just 2 mm thickness, offering promising applications in aerospace, electronic information, communication, and detection sectors.
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  • Metamaterials are being researched for electromagnetic stealth due to their unique resonance and design capabilities, but understanding their internal mechanisms is still lacking, affecting broadband absorption designs.
  • This study introduces a new strategy that uses local-chiral features to enhance the bandwidth of metamaterial absorbers, involving staggered cut-wire patterns and resistors based on characteristic mode analysis.
  • Experimental results show a strong absorption rate exceeding 82% from 4.5-11.7 GHz, with over 90% from 4.7-10.8 GHz, marking a 28% increase in operating bandwidth compared to designs without chiral features, and offering a new approach for optimizing metamaterial absorbers.
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  • The study investigates the accessibility and capacity of SARS-CoV-2 vaccination services in Beijing during the Omicron variant outbreak, highlighting the lack of standardized assessment indicators for resource allocation.
  • Demand for the vaccine was found to rise with increasing new cases, indicating a need for more staff and extended service hours, particularly in urban settings.
  • Strategies like providing services for both children and adults, mobile vaccination units for seniors, and adaptive service models based on local demographics are recommended to boost vaccination rates.
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Introduction: The segmentation of the carotid vessel wall using black-blood magnetic resonance images was a crucial step in the diagnosis of atherosclerosis. The objective was to accurately isolate the region between the artery lumen and outer wall. Although supervised learning methods achieved remarkable accuracy in vessel segmentation, their effectiveness remained limited due to their reliance on extensive labeled data and human intervention.

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  • - The study explores how adjusting the size of metal-organic frameworks (MOFs) improves their ability to absorb electromagnetic waves (EMW), achieving sizes from 200 nm to 2 µm.
  • - It finds that smaller MOF sizes enhance both electrical conductivity and magnetic coupling, which lead to better energy loss and absorption of EMW, especially at low frequencies.
  • - The optimized Fe-based MOFs showed a reflection loss of -46.4 dB at 6.2 GHz and a bandwidth of 3.1 GHz, highlighting the significance of size in improving EMW dissipation.
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  • RSV infection in infants poses significant global health challenges, with cough and shortness of breath being common symptoms, especially in those under one year old.
  • A comprehensive review of 47 studies revealed that manifestations of RSV are reported less frequently in medium and low HDI countries compared to high HDI countries.
  • The study found that RSV-infected infants are at a higher risk of developing wheezing, with odds ratios indicating significant associations for both immediate and long-term respiratory issues.
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The structure of a traditional rigid bronchoscope includes proximal, distal, and body, representing an important means to treat hypoxic diseases. However, the body structure is too simple, resulting in the utilization rate of oxygen being usually low. In this work, we reported a deformable rigid bronchoscope (named Oribron) by adding a Waterbomb origami structure to the body.

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Objectives: Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infection in young children. We aimed to analyze the factors affecting the estimation of RSV-related disease burden, and to provide evidence to help establish a surveillance system.

Methods: We searched the English- and Chinese-language databases for articles published between January 1, 2010 and June 2, 2022.

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  • Geometric high-order regularization methods like mean curvature and Gaussian curvature help maintain important image features, but struggle with balancing quality and speed.
  • The authors introduce a fast multi-grid algorithm that efficiently minimizes curvature energy functionals without compromising accuracy or requiring extra parameters, enhancing robustness.
  • Their method uses domain decomposition for parallel computing and demonstrates significant improvements in image denoising and reconstruction tasks, completing large-scale processing tasks much faster compared to existing methods.
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The compound eyes of the dragonfly, Pantala flavescens Fabricius, are covered by micro-scaled ocelli capable of sensing polarized light, an attractive property for radar stealth and counterreconnaissance. In this work, we fabricated biomimetic electromagnetic wave absorption materials (EAMs) by analyzing the covert information identifications of biological systems and focusing on the design of metastructures and microstructures. Several bionic metasurfaces with anisotropic double-V meta atoms made up of (FeCoNiSiAl)C high-entropy-alloy (HEA) ribbons for multiple-degrees-of-freedom recognition and broadband absorption are presented.

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It has been accepted that the uniform distribution of magnetic metal particles is beneficial to microwave absorption, while why the homogeneous magnetic particles on the dielectric substrate improve the electromagnetic loss is still unclear. Herein, metal Ni nanoparticles, two-dimensional (2D) basalt/scattered Ni, and basalt/uniform Ni microflakes are obtained through a pretreatment and electroless deposition process. In comparison to Ni nanoparticles and basalt/scattered Ni, the basalt/Ni microflakes with largely uniform and compact Ni nanolayers on basalt, breaking the percolation limit, are favorable for enhanced electromagnetic attenuation.

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  • Parallel imaging is a technique that speeds up MRI data acquisition, leading to shorter breath-hold times and fewer motion issues.
  • The paper introduces a dual-domain reconstruction method that combines frequency and image domains to enhance image accuracy by using more detailed information from undersampled multi-coil MR data.
  • An iterative algorithm, transformed into an end-to-end deep neural network, shows improved reconstruction quality for knee images at higher acceleration factors compared to traditional methods.
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