Publications by authors named "RuiYang Wu"

Introduction: Many researchers used machine learning (ML) to predict the prognosis of breast cancer (BC) patients and noticed that the ML model had good individualized prediction performance.

Objective: The cohort study was intended to establish a reliable data analysis model by comparing the performance of 10 common ML algorithms and the the traditional American Joint Committee on Cancer (AJCC) stage, and used this model in Web application development to provide a good individualized prediction for others.

Methods: This study included 63145 BC patients from the Surveillance, Epidemiology, and End Results database.

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Introduction: The numbers of retrieved lymph nodes (RLNs) and positive lymph nodes (PLNs) had a significant impact on the survival of patients with ampulla of vater cancer (AVC), but the optimal numbers of the both were controversial.

Objective: The cohort study aimed to explore the prognostic value and the optimal point of RLNs and PLNs for AVC.

Methods: A total of 2347 AVC patients with M0 disease who underwent surgical resection and lymph node dissection from January 2004 to December 2013 were acquired from a prospective database.

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Introduction: The American Joint Committee on Cancer (AJCC) recommended retrieval of at least 12 lymph nodes and firstly classified N category by the number of positive lymph nodes (PLNs) for Distal Cholangiocarcinoma (DCC).

Objective: The end of this cohort study was to explore the optimal cut-off values of the number of examined lymph nodes (ELNs) and PLNs to better stratify patients by utilizing a population-based database.

Methods: A number of 758 patients with DCC from the Surveillance, Epidemiology, and End Results (SEER) database were enrolled in the study and comparing by the survival analysis.

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Background: The AJCC made four changes to T category in the 8th AJCC stage for ICC, but this is a topic of debate.

Methods: Data from 820 patients with ICC were extracted from the SEER database. Survival analysis of the 8th AJCC stage was examined.

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Ln3+-Doped fluorides are economical and highly efficient luminescent materials, which play a crucial role in LEDs, biolabeling, and sensors. Therefore, Na5Gd9F32:Ln3+ sub-microspheres with tunable multicolor emissions were successfully synthesized via a simple water bath method employing colloidal Gd(OH)CO3 spheres as precursors. Samples were characterized by XRD, SEM, TEM, EDS and PL.

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A novel 3D flower-like BiPO/BiWO photocatalyst was prepared using hydrothermal method. The crystal structure, surface morphologies and optical properties of the samples were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), Brunauer-Emmett-Teller (BET) and Ultraviolet-visible diffuse reflectance spectrum (UV-vis DRS). The photocatalytic activity of the BiPO/BiWO composites was evaluated by using rhodamine B (RhB) as a target organic pollutant under visible light irradiation.

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Three-dimensional (3D) flower-like CeO/BiOI heterostructures with different Ce/Bi molar ratio were successfully synthesized via a hydrothermal method using polyvinylpyrrolidone (PVP) as surfactant. The X-ray diffraction (XRD), scanning electron microscope (SEM), transmission electron microscopy (TEM) and high-resolution transmission electron microscopy (HRTEM) results indicate that the CeO nanoparticles were successfully loaded on the surface of the flower-like BiOI. The photodegradation experiment demonstrated that the photocatalytic efficiency of CeO/BiOI samples were higher than that of pure BiOI and CeO, and CeO/BiOI heterostructure showed the best photocatalytic performance when the amount of CeO located at BiOI up to 15%.

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Ethnopharmacological Relevance: Schisandra chinensis (S. chinensis), a traditional Chinese medicine, has been widely used as sedatives and tonics in clinic. Schisandra lignans are believed to be the major bioactive components in S.

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