Publications by authors named "Wang Yanmei"

Article Synopsis
  • This study investigates the link between estimated Glomerular Filtration Rate (eGFR) and in-hospital mortality (IHM) among patients in a low-income sub-Saharan African hospital.
  • During a six-month observation of 226 patients, a significant percentage (19.9%) died, revealing that lower eGFR levels correlate with a higher risk of IHM, especially in specific age and health subgroups.
  • The findings highlight the need for further research on kidney function and mortality in resource-limited settings to improve patient outcomes and healthcare strategies.
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Maxim. is valued for its high oil yield, which fruit has high oil content and good health effects. However, the large amount of unsaturated fatty acids in the oil is easily oxidized, and its storage intolerance has seriously restricted its marketing.

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Tripterygium wilfordii (TW), which has severe hepatotoxicity, is commonly used as anti-rheumatism. Using the juice of auxiliary herbs in concocting poisonous herbs is a conventional method for toxicity reduction or efficacy enhancement. Traditional Chinese Pharmacy textbooks record that Spatholobi Caulis (SC) can alleviate the side effects caused by TW and also possesses excellent hepatoprotective effect.

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Interpersonal emotion regulation (IER) refers to the dynamic process where a regulator employs specific strategies to alleviate a target's distress. It remains unclear whether successful IER could facilitate interpersonal relationship closeness (IRC). The present study aimed to explore whether successful IER, based on two typical strategies-cognitive reappraisal (CR) and expressive suppression (ES)-for down-regulating the target's negative emotions, could enhance IRC among friend dyads, and to identify the underlying neural correlates of this process using functional near-infrared spectroscopy system.

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Background: Lung adenocarcinoma (LUAD) is a sub-type of non-small cell lung cancer (NSCLC) that is often associated with genetic alterations, including the Kirsten rat sarcoma viral oncogene homolog () mutation. The mutation is particularly challenging to treat due to resistance to targeted therapies. This study aims to develop a predictive model for the mutation in patients with LUAD by integrating clinical, dual-energy spectral computed tomography (DESCT), and radiomics features.

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The varied material and the inherent complex microstructure make predicting the effective stiffness of fused deposition modeling (FDM) printed polylactic acid (PLA)/carbon fiber (CF) composite a troublesome problem. This article proposes a microstructure scanning electron microscope (SEM) mapping modeling and numerical mean procedure to calculate the effective stiffness of FDM printing PLA/CF laminates. The printed PLA/CF parts were modeled as a continuum of 3D uniform linear elasticity with orthotropic anisotropy, and their elastic behavior was characterized by orthotropic constitutive relations.

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Rhizoma Dioscoreae Bulbiferae (HYZ) is a widely utilized herb in clinical practice, known for its significant biological activities. However, the associated hepatotoxicity poses limitations to its application. Our previous research indicated that the effective mitigation of HYZ-induced hepatotoxicity through the concoction with Radix Paeoniae Alba medicinal juice involves the incorporation of paeoniflorin (Pae) and a reduction in diosbulbin B (DB), the primary toxic compound in HYZ.

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Background And Aims: Increasing interest in hypnotherapy's application for a wide range of health conditions has spurred a rise in global research and publications. This study aims to visualize development patterns and current research hotspots in clinical hypnotherapy practice using scientometric methods, and to predict future research directions based on the keyword trending topics analysis.

Methods: Data on hypnotherapy applications and mechanisms in clinical settings between 1994 and 2023 were gathered from Scopus, Web of Science, and PubMed, followed by analysis and visualization using the VOSviewer, package in , and CiteSpace.

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Rationale And Objectives: This study aimed to develop a radiomics model characterized by Ga-fibroblast activation protein inhibitors (FAPI) positron emission tomography (PET) imaging to predict microvascular invasion (MVI) of hepatocellular carcinoma (HCC). This study also investigated the impact of varying thresholds for maximum standardized uptake value (SUV) in semi-automatic delineation methods on the predictions of the model.

Methods: This retrospective study included 84 HCC patients who underwent Ga-FAPI PET and their MVI results were confirmed by histopathological examination.

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Article Synopsis
  • The study aims to create and validate radiomics using 2-[F]fluoro-D-glucose PET/CT parameters to predict the WHO/ISUP grade of clear cell renal cell carcinoma (ccRCC).
  • It involved 209 patients with 214 lesions, dividing them into training (70%) and testing (30%) groups, with multiple SUVmax thresholds analyzed to build clinical and radiomics models.
  • The best predictive model, based on a 40% SUVmax threshold, achieved an AUC of 0.909 in the training group, indicating effective prediction of ccRCC grades.
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Article Synopsis
  • Mitochondrial viscosity is identified as a key biomarker for various diseases, including cancer and neurodegenerative disorders, but measuring it in cells is challenging.
  • This study developed three iridium(III) complexes (Ir1-Ir3) with 5-fluorouracil derivatives, focusing on Ir1 which effectively induced cell death in HeLa cells through increased reactive oxygen species, leading to mitochondrial dysfunction.
  • The fluorescence lifetime of Ir1 was highly sensitive to changes in cellular viscosity, allowing for advanced imaging techniques to monitor these viscosity changes in real-time during apoptosis, suggesting potential therapeutic and diagnostic uses.
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As one of the most common and serious infections caused by Candida albicans (C. albicans), periprosthetic joint infection (PJI) increasingly concerns surgeons and scientists. Generally, biofilms shield C.

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Male , which display distinct morphological and physiological traits, exhibit greater adaptability to stressful environments than females. However, the connection between this adaptability and rhizosphere processes remains unclear. Here, we investigate the differences in root bacterial community structures between male and female plants at different developmental stages, identifying bacterial strains associated with plant sex through functional predictions.

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Article Synopsis
  • Catalpol is a compound from the plant Rehmannia glutinosa that shows antidepressant effects, with notable gender differences where females respond better than males.
  • Recent studies suggest that these effects involve SIRT1, which is involved in brain plasticity and new neuron formation, but the specific mechanisms are still unclear.
  • Experiments using mouse models demonstrated that catalpol enhances SIRT1 activity, leading to more significant antidepressant effects in females, indicating a potential target for understanding gender-specific depression treatments.
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Photoresponsive multicolor luminescent systems offer interesting functions, which have led to applications in anticounterfeiting and biological imaging. However, expanding the color range of these materials remains a challenging task. Herein, a carbazole-modified dithienylethene derivative () that exhibits modulated fluorescence color changes through the photocyclization reaction and photolysis reaction is synthesized.

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Objective: To establish nomograms for predicting preoperative lymph-vascular space invasion (LVSI) and survival outcomes of cervical squamous cell carcinoma (CSCC) based on PET/CT radiomics.

Methods: One hundred and twenty-three patients with CSCC and LVSI status were enrolled retrospectively. Independent predictors of LVSI were identified through clinicopathological factors and PET/CT metabolic parameters.

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Article Synopsis
  • Radiomics is used to differentiate between benign and malignant vertebral compression fractures (VCFs) in patients with malignant tumors, highlighting its clinical importance.
  • The study involved 78 patients with VCFs, analyzing 140 lesions through machine learning models built from CT radiomics features to improve diagnostic accuracy.
  • The support vector machine (SVM) model outperformed others with high diagnostic efficiency, achieving an area under the curve (AUC) of 0.911 in the validation set, indicating its effectiveness in distinguishing between benign and malignant VCFs.
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To explore the risk factors of early postoperative taste disturbance (EPTD) after type I endoscopic tympanoplasty and operative modification strategies to improve taste disturbance. This was a controlled study. One hundred and twenty-four patients who underwent type I endoscopic tympanoplasty with tragal cartilage graft were separated evenly into control and modified groups.

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Background: Acupuncture is popular in the treatment of mental illness. This study determined its feasibility and role in managing postpartum depression (PPD) using a network meta-analysis.

Methods: We systematically searched seven databases up to May 2024 for randomized controlled trials (RCTs) appraising acupuncture's efficacy and safety against waitlist-control, placebo, standard control, or as an add-on treatment.

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  • The study examines how intramolecular vibrational energy redistribution (IVR) affects dynamic processes in 2,4-difluoroanisole, focusing on restricted and dissipative IVR using advanced spectroscopy techniques.
  • Restricted IVR occurs at a lower vibrational level (219 cm-1) while dissipative IVR occurs at a higher level (1200 cm-1), with lifetimes measured at 90 ps and 11 ps, respectively.
  • Following excitation, the population experiences IVR, transitions into a triplet state through intersystem crossing in about 400 ps, and then undergoes slower nonradiative relaxation over the nanosecond timescale.
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  • The study evaluates different radiomics models for diagnosing pulmonary ground-glass nodules (GGNs) as either papillary lung adenocarcinoma (PGL) or minimally invasive adenocarcinoma (MIA) to improve treatment decisions.
  • The research included data from 116 patients with confirmed PGLs and MIAs, using logistic regression for risk factor analysis and developing combined clinical and radiomics models.
  • Results showed that while the combined model had a higher area under the curve (AUC) in the training set, the radiomics model excelled in the validation set, indicating its potential as a quick and effective diagnostic tool.
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Background And Purpose: Computed tomography (CT) and biopsy may be insufficient for preoperative evaluation of the grade and outcome of patients with chondrosarcoma. The aim of this study was to develop and validate a CT-based deep learning radiomics model (DLRM) for predicting histologic grade and prognosis in chondrosarcoma (CS).

Methods: A multicenter 211 (training cohort/ test cohort, 127/84) CS patients were enrolled.

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Aim: To construct a popularization of an emergency science capacity index system for nurses based on the iceberg model.

Design: A mixed-method research design incorporating quantitative and qualitative components was used.

Methods: In this study, the first draft of the questionnaire was developed through literature analysis and semi-structured interviews.

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Background: Research has demonstrated that radiomics models are capable of forecasting the characteristics of lung cancer. Nevertheless, due to radiomics' poor interpretability, its applicability in clinical settings remains restricted. This investigation sought to verify the correlation between radiomics features (RFs) and the biological behavior of clinical stage IA adenocarcinomas.

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