Publications by authors named "Weike Liu"

Purpose: To investigate the modifying role of obesity in the association between abnormal glucose metabolism and atrial fibrillation (AF) risk in older individuals.

Methods: From April 2007 to November 2011, 11663 participants aged ≥60 years were enrolled in Shandong area. Glucose metabolic status were determined using fasting plasma glucose and hemoglobin A1c levels, obesity determined using body mass index (BMI), waist-to-hip ratio (WHR), and visceral fat area (VFA).

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Parkin (an E3 ubiquitin protein ligase) is an important regulator of mitophagy. However, the role of Parkin in viral myocarditis (VMC) remains unclear. Coxsackievirus B3 (CVB3) infection was induced in mice to create VMC.

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Purpose: To investigate the association of EEG-assessed Phase Lag Index (PLI) with cognitive dysfunction and seizure occurrence in pediatric patients with epilepsy.

Methods: A retrospective cohort study enrolled 117 children with epilepsy aged 4 to 16 years. Participants were categorized into Normal PLI (n=53) and Abnormal PLI (n=64) groups based on EEG-assessed PLI values.

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Article Synopsis
  • Older individuals with glucose metabolic disorders, including prediabetes and diabetes, have a higher risk of developing heart failure compared to those with normal glucose levels.
  • The study assessed over 13,000 participants, measuring various adiposity metrics like BMI, waist-to-hip ratio, and visceral fat, finding that central obesity significantly impacts heart failure risk.
  • Results revealed that waist-to-hip ratio particularly indicated elevated heart failure risk in participants with glucose issues, with a notable population attributable risk percentage linked to central obesity across different glucose categories.
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Aim: Studies investigating the association between sodium intake and new-onset atrial fibrillation (AF) have come to controversial results. This study aimed to assess the effect of excessive sodium intake on new-onset AF in individuals with hyperglycemia.

Methods: Between April 2007 and November 2011, 2841 community-dwelling individuals aged 60 years and older were recruited from the Shandong area, China.

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Background: The impacts and mechanisms of morning hypertension (MHT) on the risk of new-onset atrial fibrillation (AF) in the elderly have not been clarified. We aimed to investigate an association between MHT and new-onset AF and explore a mediating effect of subclinical inflammation on this association.

Methods: From 2008 to 2010, 1789 older adults aged ≥60 years were recruited in Shandong area, China.

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This study explores the effects of an online mindfulness-based stress reduction intervention on postpandemic era nurses' subjective well-being, job burnout, and psychological adaptation. Previous studies on the psychological adaptability of nurses mainly focused on investigation rather than intervention. Ninety nurses were randomly classified into an intervention or control group.

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Through the analysis of the existing case data, this study explored the application effect of predictive nursing combined with bird nest nursing in children with hypoxic ischemic encephalopathy. The data of 120 children with hypoxic-ischemic encephalopathy admitted to our hospital from May 2019 to June 2021 were retrospectively analyzed, and they were divided into A ( = 40), B ( = 40) and C ( = 40) groups according to different nursing methods. Neonatal neurobehavioral assessment (NBNA), Canadian derivatives clearing corporation (CDCC) and Gesell Developmental Schedules (GDS) scores were compared among the three groups.

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Background: Left atrial appendage closure (LAAC) combined with radiofrequency catheter ablation is an emerging one-stop hybrid procedure for non-valvular atrial fibrillation (AF). This study was performed to compare the efficacy and safety of the Watchman device vs. the LAmbre device for this combined procedure.

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Objectives: To investigate excessive dietary salt intake as an independent risk factor of cognitive impairment and dementia in older adults.

Design: Prospective, population-based cohort study.

Settings And Participants: Two thousand forty-one community residents aged ≥60 years were recruited between April 2007 and August 2009 from the Shandong area of China.

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Article Synopsis
  • Acute viral myocarditis (AVMC) can lead to heart failure, and LCZ696 is a drug that may help improve left ventricular ejection fraction (LVEF) in affected individuals, which is crucial for better prognosis.
  • The study involved 80 male mice divided into groups to test the impact of LCZ696 on cardiac function and associated mechanisms, assessing inflammation and apoptosis through various methods.
  • Results showed that LCZ696 significantly improved LVEF in AVMC mice and reduced indicators of inflammation and mitochondrial dysfunction compared to the control groups.
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Exosomes derived from human bone marrow mesenchymal stem cells (BMSCs) play potential protective roles in asthma. However, the underlying mechanisms remain not fully elucidated. Herein, exosomes were isolated from BMSCs, and the morphology, particle size, and exosome marker proteins were identified by transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and Western blot, respectively.

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Background And Aims: Mitophagy plays a crucial role in mitochondrial homeostasis and is closely associated with endothelial function. However, the mechanism underlying low blood flow shear stress (SS), detrimental cellular stress, regulating endothelial mitophagy is unclear. This study aimed to investigate whether low SS inhibits endothelial mitophagy via caveolin-1 (Cav-1)/miR-7-5p/Sequestosome 1 (SQSTM1) signaling pathway.

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Objective: Small and dense low-density lipoprotein (sdLDL) elevation may be among the most sensitive early biomarkers for nascent cardiovascular disease. This study, therefore, investigated the association between visit-to-visit changes in sdLDL and cerebral small vessel disease (CSVD) progression in older individuals, and the influence of () genotype on this association.

Methods: Between April 2007 and July 2009, 1,143 participants ≥60 years old were recruited from the Shandong region of China, and sdLDL was measured at baseline and at each follow-up visit.

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Uncertain dynamics and unknown time-varying disturbances always exist in servo systems and deteriorate tracking accuracy significantly. To tackle the problem, this paper presents a novel adaptive robust control scheme based on neural networks and the robust integral of the sign of the error (RISE) method. In the proposed scheme, a new neural network compensator is developed, where a reference-driven neural network and an error-driven neural network are employed to compensate for uncertain system dynamics and unknown time-varying disturbances, respectively.

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Coronavirus disease-2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2, is currently in a pandemic outbreak and has become a global health issue. In addition to the primarily involvement of the respiratory system, myocarditis is considered an important and fatal lesion in patients with COVID-19. However, effective therapeutic methods are currently lacking.

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Teachers are burdened by high work pressure, suggesting the need for an effective stress coping system to support them. The present study evaluated the effectiveness of coping strategies currently utilized by teachers and explored the potential contribution of group sandplay to coping. The study was led by a group of experienced therapists and sandplay practitioners.

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In practical applications, data stream classification faces significant challenges, such as high cost of labeling instances and potential concept drifting. We present a new online active learning ensemble framework for drifting data streams based on a hybrid labeling strategy that includes the following: 1) an ensemble classifier, which consists of a long-term stable classifier and multiple dynamic classifiers (a multilevel sliding window model is used to create and update the dynamic classifiers to effectively process both the gradual drift type and sudden drift type data stream) and 2) active learning, which takes a nonfixed labeling budget, supports on-demand request labeling, and adopts an uncertainty strategy and random strategy to label instances. The decision threshold of the uncertainty strategy is adjusted dynamically, i.

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