Publications by authors named "Xi Lyu"

Information is key to the process of diagnosis, so it is necessary to understand how information amount may influence human performance. The current study investigated this issue through an experiment where participants diagnosed an accident in a simulated nuclear power plant. The amount of accessible information and the times of making judgments were manipulated.

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Aim: To assess the retinal vasculature alterations in indirect traumatic optic neuropathy (ITON) patients following craniofacial trauma by optic coherence tomography angiography (OCTA).

Methods: Patients diagnosed of monocular ITON were recruited from August 2016 to May 2020. OCTA was performed using the AngioVue OCT-A system for two cube scans centered at the optic nerve head and fovea.

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Article Synopsis
  • New AI products are shifting towards voice interaction, aiming to understand user emotions and provide immediate feedback.
  • Researchers are using deep learning to create affective acoustic models, enabling computers to predict users' emotional states based on their voice, although these models currently struggle with explaining their predictions.
  • The study analyzes how seven key acoustic features differ in relation to user gender and emotional states, using audio recordings and statistical analysis to establish a theoretical basis for improving AI's emotional recognition and interaction capabilities.
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Colorectal cancer (CRC) is the third leading cause of cancer-associated mortality worldwide. Ginsenoside Rh1 (Rh1) is a traditional medicine monomer with antitumor activity; however, the effects of Rh1 in CRC remain to be determined. In the present study, SW620 cells were treated with different concentrations of Rh1.

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Background: Colorectal cancer is the third most common cancer worldwide and still lack of effective therapy so far. Petasin, a natural product found in plants of the genus Petasites, has been reported to possess anticancer activity. The present study aimed to investigate the anticolon cancer activity of petasin both in vitro and in vivo.

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Objective: To determine the effect of serum uric acid on renal function of patients with abnormal glucose metabolism.

Methods: A total of 1 495 people who took physical examinations in West China Hospital of Sichuan University in May 2014 were recruited in this study. Serum nitrogen (BUN), creatinine (SCr), triglycerides (TG), cholesterol (TC), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C) and uric acid (SUA) of the participants were detected by an automatic biochemical analyzer.

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