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    Human reliability in non-destructive inspections of nuclear power plant components: modeling and analysis by Vanderley Vasconcelos, Wellington Antonio Soares, Raissa Oliveira Marques, Silvério Ferreira Silva Jr, Amanda Laureano Raso

    Published 2019-06-01
    “…Non-destructive inspection (NDI) is one of the key elements in ensuring quality of engineering systems and their safe use. This inspection is a very complex task, during which the inspectors have to rely on their sensory, perceptual, cognitive, and motor skills. …”
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  8. 1108

    A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles by Jong-Hyun Kim

    Published 2025-01-01
    “…To achieve this, we diffuse water temperature using a grid-based method and represent air bubbles within the ice shape using particles. To address the issues of noise and distorted dissolved air fields in previous methods, we propose the following improvements: 1) We synthesize the level-set of the ice shape into a spherical form to reduce noise and streamline the algorithm. 2) We propose an efficient method to control the termination condition of heat diffusion by utilizing the number of active particles and the initial dissolved oxygen level. 3) Unlike previous methods that calculated the dissolved air field only near air bubbles, we extend the diffusion to transparent regions, enabling the realistic representation of opaque ice shapes. 4) To accurately compute the directional properties of air bubbles, we introduce a level-set-based approach. 5) We extend the solver to control the generation of dissolved air fields and air bubbles based on water temperature. 6) Finally, we present a method to realistically visualize opaque ice shapes using Unreal Engine (UE). …”
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    Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

    Published 2025-01-01
    “…Impact Statement: Our study demonstrates that LLMs have the potential to address the issues of poor generalization and weak interpretability commonly encountered in disease prediction using traditional machine learning (ML) models. …”
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  10. 1110

    Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling by Dejiang Wang, Bolong Liu, Haili Jiang, Panpan Liu

    Published 2025-02-01
    “…However, the original A* algorithm has issues such as not considering dimensional constraints, a high number of turning nodes, and unsmooth paths. …”
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    Development of model for human factor influence assessment on construction and road machines operation efficiency by V. E. Ovsiannikov, V. I. Vasiliev

    Published 2020-08-01
    “…The article considers the issues of the engineering and psychological component of compatibility.Materials and methods. …”
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