Publications by authors named "Li Yanfeng"

Objective: To examine healthcare-seeking delays among immigrant patients with acute ischaemic stroke (AIS), identifying key factors contributing to these delays and proposing evidence-based interventions for policy formulation and research.

Design: A retrospective observational study analysing healthcare-seeking behaviours and delay times among immigrant patients with AIS treated at the Department of Neurology, Longhua District People's Hospital, Shenzhen, from December 2021 to October 2023. The study included 1356 patients with AIS, all part of the immigrant population as defined by Shenzhen Statistical Yearbook criteria.

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Background: HJIG is a potential treatment for erectile dysfunction (ED) that has been used in China for over 20 years. We conducted a multi-center, double-blind, randomized, placebo-controlled trial to evaluate the effectiveness and safety of the Chinese Herbal Medicine, Hongjing I granule (HJIG), in patients with mild to moderate erectile dysfunction (ED).

Methods: This study is structured as a randomized, double-blind, placebo-controlled trial, executed across multiple centers.

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Dendritic and axonal plasticity, which mediates neurobiological recovery after a stroke, critically depends on the mitochondrial function of neurons. To investigate, in vivo, neuronal mitochondrial function at the stroke recovery stage, we employed Mito-tag mice combined with cerebral cortical infection of AAV9 produced from plasmids carrying Cre-recombinase controlled by two neuronal promoters, synapsin-I (SYN1) and calmodulin-kinase IIa to induce expression of a hemagglutinin (HA)-tagged enhanced green fluorescence protein (EGFP) that localizes to mitochondrial outer membranes of SYN1 positive (SYN) and CaMKIIa positive (CaMKIIa) neurons. These mice were then subjected to permanent middle cerebral artery occlusion (MCAO) and sacrificed 14 days post stroke.

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Zn-based biodegradable metals (BMs) are regarded as revolutionary biomaterials for bone implants. However, their clinical application is limited by insufficient mechanical properties, delayed degradation, and overdose-induced Zn toxicity. Herein, innovative multi-material additive manufacturing (MMAM) is deployed to construct a Zn/titanium (Ti) hetero-structured composite.

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It is difficult to detect and identify natural defects in welded components. To solve this problem, according to the Faraday magneto-optical (MO) effect, a nondestructive testing system for MO imaging, excited by an alternating magnetic field, is established. For the acquired MO images of crack, pit, lack of penetration, gas pore, and no defect, Gaussian filtering, bilateral filtering, and median filtering are applied for image preprocessing.

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Objective: We aim to explore the role of mechanistic target of rapamycin complex (mTORC) 2 in systemic lupus erythematosus (SLE) development, the in vivo regulation of mTORC2 by type I interferon (IFN) signaling in autoimmunity, and to use mTORC2 targeting therapy to ameliorate lupus-like symptoms in an in vivo lupus mouse model and an in vitro coculture model using human PBMCs.

Method: We first induced lupus-like disease in T cell specific Rictor, a key component of mTORC2, deficient mice by topical application of imiquimod (IMQ) and monitored disease development. Next, we investigated the changes of mTORC2 signaling and immunological phenotypes in type I IFNAR deficient Lpr mice.

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The study aimed to investigate the feasibility and accuracy of task-autonomous dental robots for lateral window preparation in the maxillary sinus, as well as to propose 3 indexes for assessing the accuracy of lateral window preparation. Twenty 1:1 resin maxilla models were fabricated, all of which underwent preoperative CBCT and utilized the data to design 40 lateral windows. A task-autonomous dental robot was used to autonomously perform the preparation of 20 lateral windows according to the design under supervision, while another 20 lateral windows were prepared with freehand as control.

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Article Synopsis
  • - Over the last ten years, there has been growing interest in plasmonic vortices, which are linked to orbital angular momentum and play a key role in light-matter interactions and plasmonic spin-orbit coupling.
  • - Traditional methods of studying these vortices in the frequency domain lack detailed insights into their evolution, prompting a new investigation into a unique vortex mode that is only observable in the time domain.
  • - The study demonstrates that this temporally varying vortex can be manipulated through design and specific light beams, enhancing our understanding of plasmonic spin-orbit coupling and offering new strategies for optical control in future research.
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Background: larval meal (ZLM) is a high-quality feed supplement with potential activities that can improve fish growth performance and promote meat quality. However, there have been limited recent studies investigating the metabolic effects of ZLM. Therefore, this study aims to uncover the metabolomic mechanism through which ZLM improves tilapia meat flavor using metabolomic strategies.

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High-density polyethylene (HDPE) pipelines are extensively utilized in energy transportation in the ocean. However, long-term exposure to water can alter the performance of HDPE, potentially leading to pipeline accidents. This study focuses on simulating the aging characteristics of PE100 polyethylene pipeline butt-fusion welded joints (B-FWJs) in water using hydrothermal accelerated aging experiments at various temperature gradients.

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Oligodendrocyte precursor cells (OPCs) respond rapidly to demyelination injury. However, the rescuing effects may be hindered by cell death of OPCs, leading to incomplete remyelination. This study aimed to explore the expression of MYC-associated zinc finger protein (MAZ) in demyelinated mice and the effects of MAZ on cell death form and differentiation of OPCs.

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Germinal center (GC) formation, which is an integrant part of humoral immunity, involves energy-consuming metabolic reprogramming. Rag-GTPases are known to signal amino acid availability to cellular pathways that regulate nutrient distribution such as the mechanistic target of rapamycin complex 1 (mTORC1) pathway and the transcription factors TFEB and TFE3. However, the contribution of these factors to humoral immunity remains undefined.

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Human breathing is crucial for studying indoor environments and human health. Computational Fluid Dynamics (CFD) is a key tool for simulating human respiration. To enhance the accuracy of CFD simulations and reduce computation time, a new simulation strategy for human respiration is proposed in this paper.

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Article Synopsis
  • Acute ischemic stroke (AIS) is increasingly affecting younger individuals, creating a need for timely treatment, but there are significant pre-hospital delays, particularly in China, with little research focused on this age group.* -
  • A study analyzing data from young AIS patients (ages 18-50) found that 82% experienced delays in reaching the hospital, with those aged 36-50 facing longer delays, and identified key factors like stroke awareness and ambulance response time as contributors to these delays.* -
  • The findings suggest that machine learning can help identify risk factors for delays, emphasizing the importance of improving public education on recognizing stroke symptoms and utilizing emergency services to enhance patient outcomes.*
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In extremely dark conditions, low-light imaging may offer spectators a rich visual experience, which is important for both military and civic applications. However, the images taken in ultra-micro light environments usually have inherent defects such as extremely low brightness and contrast, a high noise level, and serious loss of scene details and colors, which leads to great challenges in the research of low-light image and object detection and classification. The low-light night vision image used as the study object in this work has an excessively dim overall picture and very little information about the screen's features.

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Transformer-based models demonstrate tremendous potential for Multivariate Time Series (MTS) forecasting due to their ability to capture long-term temporal dependencies by using the self-attention mechanism. However, effectively modeling the spatial correlation cross series for MTS is a challenge for Transformer. Although Graph Neural Networks (GNN) are competent for modeling spatial dependencies across series, existing methods are based on the assumption of static relationships between variables, which do not align with the time-varying spatial dependencies in real-world series.

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Article Synopsis
  • Current methods of measuring temperature changes in boron-containing warm-pressure explosives using single thermocouples are ineffective due to their inconsistent performance.
  • A new C-type two-thermocouple has been developed to enhance transient temperature measurement with improved system characterization and optimal solution finding methods.
  • Experimental validation in a high-temperature furnace demonstrated that the two-thermocouple setup yields better temperature measurement accuracy, achieving a low error rate and high goodness of fit.
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Ubiquitination functions as an important posttranslational modification for orchestrating inflammatory immune responses and cell death during pathogenic infection. The ubiquitination machinery is a major target hijacked by pathogenic bacteria to promote their survival and proliferation. Type I interferon (IFN-I) plays detrimental roles in host defense against Francisella novicida (F.

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Aim: This study aimed to establish a comprehensive set of nursing-sensitive quality indicators (NSQIs) for patients with dysphagia following tracheotomy due to acquired brain injury (ABI), based on the 'structure-process-outcome' model.

Design: A Delphi survey.

Methods: The research utilised a mixed-methods approach, including systematic literature reviews, qualitative interviews and two rounds of Delphi expert consultations.

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Objective: This study investigates the prevalence and determinants of social isolation in peritoneal dialysis (PD) patients, focusing on the influence of environmental systems and individual behaviors on their social well-being.

Methods: We conducted a cross-sectional study from December 2023 to February 2024 at Shenzhen Traditional Chinese Medicine Hospital. A total of 259 PD patients were enrolled using a consecutive sampling method.

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Article Synopsis
  • The study investigates the impact of different welding modes in LORCH MIG welding on the manufacturing of SS316L stainless steel, focusing on thermal input and resulting microstructure.
  • It identifies that while Pulse, Speed-Pulse-XT, and Twin-Pulse modes cause spatter and lower molding efficiency, the Twin-Pulse mode creates unique fish scale patterns that enhance grain growth.
  • Ultimately, despite some microstructural benefits from the pulse modes, the SA-XT mode outperforms them in terms of tensile strength and hardness, meeting industrial standards better than the others.
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Background: Intraoral scans (IOS) provide precise 3D data of dental crowns and gingival structures. This paper explores an application of IOS in human identification.

Methods: We propose a dental biometrics framework for human identification using 3D dental point clouds based on machine learning-related algorithms, encompassing three stages: data preprocessing, feature extraction, and registration-based identification.

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Article Synopsis
  • * Key findings suggest that renewable energy use and green taxes effectively reduce carbon emissions, especially at higher emission levels, while factors like financial globalization and efficient resource management also play significant roles.
  • * The research highlights the need for an integrated ecological governance strategy to align financial resources with sustainable development and green energy initiatives within BRICS nations.
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Alcohol sensing plays a critical role in medical detection and personal health management. AIE materials with high sensitivity, selectivity and fast response have been widely used in biosensing, but their application in the field of alcohol sensing still needs further research and development. Furthermore, developing flexible phase change materials (PCMs) is significant for the research of human-body thermal management.

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