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  1. 101

    Development of a Model Mutagenesis System for Snapdragon by Zhaoyuan Lian, Heqiang Huo, Sandra B. Wilson, Jianjun Chen

    Published 2020-09-01
    “… Snapdragon (Antirrhinum majus) has long been a very popular perennial in the United States due to its unique flower shape with a range of striking colors (Huo and Chen, 2018). Based on their height, snapdragons are typically classified into three categories: dwarf (6-15 inches), medium (1-2 feet), and tall (6-15 feet) . …”
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    CEO Characteristics and Earnings Management: A Study of Manager Tenure, Age, Gender, and Overconfidence by Chen Sitao, Tzavara Dionisia, Argyropoulou Maria, Koufopoulos Dimitrios, Argyropoulou Rachel

    Published 2024-12-01
    “…Our study explores how CEO characteristics, such as tenure, gender, age and overconfidence, influence corporate earnings management. …”
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    Study on Catastrophe Information Characteristics of Water Inrush in Karst Tunnel by Drilling and Blasting Method by Jiaqi Guo, Erbo Wang, Yongbiao Lai, Zhenyu He, Fan Chen

    Published 2022-01-01
    “…When building tunnels in karst areas, the hidden high-pressure water-bearing karst caves are prone to cause geological disasters such as water inrush and mud gushing. …”
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  13. 113

    A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems by Fei Chen, Shuhuan Wu, Fang Liu, Junkai Ji, Qiuzhen Lin

    Published 2020-01-01
    “…Using an external archive, the local best particles are selected from the surrounding particles with the best convergence, while the global best particles are chosen from the top 20% particles with the better convergence among the entire particle swarm. …”
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    Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring by Jiawen Wang, Chunyan Min, Feng Yu, Kai Chen, Ling Mao

    Published 2025-01-01
    “…Methods Twenty-five young healthy persons (hereinafter referred to as healthy adults) and twenty-five clinically diagnosed pneumoconiosis patients (hereinafter referred to as patients) participated in the experiment by wearing a flexible chest patch with an embedded ACC sensor. The top 56% of the highest scoring features were then combined using several feature selection algorithms to perform the cough classification task. …”
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