Publications by authors named "YingLe Li"

The growing importance of critical infrastructure systems (CIS) makes maintaining their normal operation against deliberate attacks such as terrorism a significant challenge. Combining game theory and complex network theory provides a framework for analyzing CIS robustness in adversarial scenarios. Most existing studies focus on single-layer networks, while CIS are better modeled as multilayer networks.

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As an inflammatory regulator, intestinal regenerating islet-derived 3 gamma (RegⅢγ) contributes to alleviating liver injury in liver diseases and colitis. However, it is unclear whether hepatic RegⅢγ exerts a vital impact on liver regeneration (LR). In this study, the expression profile and localization of RegⅢγ in LR were demonstrated by microarray analysis, qRT-PCR and immunofluorescence staining.

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Background: Identifying patients at high risk of stroke recurrence is important for stroke prevention and treatment.

Purpose: To explore the characteristics of T1 hyperintense plaques (HIP) and their relationship with stroke recurrence in patients with symptomatic intracranial atherosclerotic stenosis (sICAS).

Study Type: Retrospective.

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Objectives: To assess the predictive value of hemodynamic features for stroke relapse in patients with intracranial vertebrobasilar atherosclerotic stenosis treated with percutaneous transluminal angioplasty and stenting (PTAS) using quantitative digital subtraction angiography (q-DSA).

Methods: In this retrospective longitudinal study, patients with intracranial vertebrobasilar atherosclerotic stenosis and who underwent PTAS treatment between January 2012 and May 2020 were enrolled. The q-DSA assessment was performed before and after PTAS.

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Article Synopsis
  • Liver fibrosis is a reversible condition characterized by the excess accumulation of extracellular matrix proteins in the liver, leading to tissue damage and dysfunction.
  • Circular noncoding RNAs (CircRNAs) have a stable structure that allows them to regulate gene expression by acting as microRNA sponges and interacting with proteins, helping to modulate various biological processes.
  • Recent studies highlight the significant role of CircRNAs in liver fibrosis, suggesting they could serve as diagnostic and prognostic markers, while also providing insights for future research and therapeutic applications.
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Objectives: Besides plaque enhancement grade, the incremental value of enhancement-related high-resolution MRI features in defining culprit plaques needs further evaluation. This study was focused on assessing whether plaque enhancement features contribute to culprit plaque identification and further risk stratification.

Methods: We retrospectively studied patients who experienced an acute ischaemic stroke and transient ischaemic attack due to intracranial atherosclerosis from 2016 to 2022.

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  • Diabetes significantly impacts intracranial atherosclerosis, and this study explored the potential of using radiomics features to differentiate plaques associated with diabetes.
  • Researchers analyzed clinical data and imaging features from 157 stroke patients to assess the relationship between plaque characteristics and diabetes, using logistic regression and ROC curve analysis.
  • The findings revealed that incorporating radiomics features provided a better diagnostic accuracy for identifying diabetes-related plaques compared to traditional plaque measurements alone, suggesting new research directions for treatment strategies.
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  • The study aims to create a model to identify high-risk intracranial plaques using advanced 3D high-resolution magnetic resonance imaging (HRMRI) and machine learning techniques.
  • A sample of 136 patients with symptomatic and asymptomatic plaques was analyzed, leading to the development of conventional, radiomics, and combined models to predict the risk associated with these plaques.
  • The results showed that the radiomics model significantly outperformed the traditional model in distinguishing between symptomatic and asymptomatic plaques, demonstrating its potential for better stroke prevention strategies.
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In the domain of network science, the future link between nodes is a significant problem in social network analysis. Recently, temporal network link prediction has attracted many researchers due to its valuable real-world applications. However, the methods based on network structure similarity are generally limited to static networks, and the methods based on deep neural networks often have high computational costs.

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Introduction: Imaging-based early warning indicators and feasible stratification of acute ischemic stroke (AIS) patients with hemorrhagic transformation (HT), especially high-risk patients with parenchymal hematoma (PH), are crucial in determining subsequent treatment strategies. This study combined automated ASPECTS software with noncontrast CT (NCCT) and CTA source image (CTASI) attenuation changes using Hounsfield unit (HU) values to predict HT and PH in patients with AIS.

Materials And Methods: We retrospectively enrolled 172 consecutive patients with anterior circulation large-vessel occlusion between 2016 and 2020.

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Purpose: This study aimed to use the automated Alberta Stroke Program Early CT Score (ASPECTS) software to assess the value of different CT modalities (non-contrast CT, CT angiography [CTA]-arterial, CTA-venous, and arterial- and venous-phase mismatch-ASPECTS) in predicting the final infarct extent and clinical outcome in large-vessel occlusion stroke.

Methods: This retrospective study included patients with large-vessel occlusion stroke who underwent reperfusion therapy during 2015 to 2019. Correlations between different CT-ASPECTS modalities and follow-up CT-ASPECTS and outcome were determined using Spearman rank correlation coefficient.

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Article Synopsis
  • The study aimed to create a predictive nomogram for assessing the risk of symptomatic intracranial hemorrhage (sICH) in Chinese patients who receive intravenous thrombolysis (IVT) for acute ischemic stroke.
  • Researchers analyzed data from 1200 patients, identifying key factors like atrial fibrillation, glucose levels, neutrophil to lymphocyte ratio, and NIHSS scores as independent predictors of sICH.
  • The resulting nomogram showed good accuracy with an AUC-ROC value of 0.788, indicating it is a useful tool for evaluating sICH risk in this patient population.*
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  • The study aimed to evaluate the effectiveness of using computed tomography (CT) and a scoring system called ASPECTS-NWU to predict the time a stroke began.
  • Researchers analyzed data from 240 stroke patients with significant blood vessel blockages, comparing CT scan results of affected brain regions to healthy areas.
  • Results showed a significant correlation between the ASPECTS-NWU scores and the time from stroke onset to CT scan, indicating that this method could help identify the timing of unwitnessed or wake-up strokes.
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  • - The study examines how a Gaussian beam behaves when it hits and passes through a uniaxial anisotropic slab, looking at its reflection and transmission.
  • - It uses cylindrical vector wave functions to break down the incident, reflected, internal, and transmitted beams while finding unknown coefficients based on boundary conditions.
  • - Numerical results are presented for the localized beam model, highlighting field intensity distributions and the behaviors of the beams as they propagate.
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Within the generalized Lorenz-Mie theory framework, an analytic solution to Gaussian beam scattering by a rotationally uniaxial anisotropic sphere is presented. The scattered fields as well as the fields within the anisotropic sphere are expanded in terms of infinite series with spherical vector wave functions by using an appropriate expansion of the incident Gaussian beam. The unknown expansion coefficients are determined from a system of linear equations derived from the boundary conditions.

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