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    A risk prediction system for depression in middle-aged and older adults grounded in machine learning and visualization technology: a cohort study by Jinsong Du, Jinsong Du, Jinsong Du, Xinru Tao, Le Zhu, Wenhao Qi, Xiaoqiang Min, Xiaoqiang Min, Hongyan Deng, Shujie Wei, Xiaoyan Zhang, Xiao Chang

    Published 2025-06-01
    “…This study innovatively proposed a visual risk prediction system for depressive symptoms and depression in middle-aged and older adults, rooted in machine learning and visualization technologies.MethodsUsing cohort data from the China Health and Retirement Longitudinal Study (CHARLS), involving 8,839 middle-aged and older adult participants, the study developed predictive models based on eight machine learning algorithms, primarily including LightGBM, XGBoost, and AdaBoost. …”
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  5. 1625

    Exploring the Benefits of 3D Smart MRI in Resident Training and Surgical Planning for Transcervical Radiofrequency Ablation by Sepehr Janghorbani, Victoria Weprinsky, Alexandre Caprio, Tamatha Fenster, Bobak Mosadegh

    Published 2025-06-01
    “…While effective, its reliance on intrauterine ultrasound (IUS) with limited 2D visualization can present challenges, especially for trainees who must mentally reconstruct 3D anatomy in real-time from traditional radiology reports. …”
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    Global research trends in tryptophan metabolism and cancer: a bibliometric and visualization analysis (2005–2024) by Huanhuan Ma, Ran Ding, Junwen Wang, Guangying Du, Yun Zhang, Qiuchen Lu, Yingyue Hou, Haosong Chen, Hongguan Jiao

    Published 2025-07-01
    “…By identifying emerging hotspots, leading contributors, and patterns of international collaboration, this work aims to provide meaningful insights to guide future therapeutic strategies targeting metabolic pathways in oncology.MethodsA systematic literature search was performed using the Web of Science Core Collection to retrieve publications related to tryptophan metabolism in cancer from 2005 to 2024. …”
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  8. 1628

    Development of a Children’s Visual Function Quality of Life (CVF-QoL) Instrument for Rural School-Going Children with Visual Impairments Within a South African Context: Item Genera... by Tshubelela Sello Simon Magakwe, Rekha Hansraj, Zamadonda Nokuthula Xulu-Kasaba

    Published 2025-01-01
    “…<b>Background</b>: Assessing visual function and quality of life in children with visual impairments is crucial for understanding its impact and evaluating interventions. …”
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  9. 1629

    Retracted: Visualization of Low-Permeability Natural Core Carbon Dioxide Immiscible Flooding Flow Characteristics by Jie Chi, Jiabei Wang, Xing Zhang

    Published 2020-01-01
    “…In this paper, particle image velocimetry PIV method and immiscible drive equation are used to realize the image acquisition of immiscible drive, and this paper is explored through the experiment of CO<sub>2</sub> immiscible drive percolation characteristics, analysis of immiscible zone migration characteristics, description and analysis of unsteady CO<sub>2</sub> immiscible drive experiment, and the production and analysis of percolation image visualization micro model. …”
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  10. 1630

    Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

    Published 2018-01-01
    “…Visualization provides an interactive investigation of details of interest and improves understanding the implicit information. …”
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  11. 1631

    Mathematical Model of Respiratory Distortions of a Pathological Focus During Visualization on PET/CT Images by M. N. Piatkevich, D. V. Korovko, E. V. Emelyanenko

    Published 2025-07-01
    “…Based on the experimentally established dependencies of the influence of the displacement value and the diameter of the object (sphere) under study on the value of the discrepancy between the visualized volume of the object under study, a mathematical model of respiratory distortions of the pathological lesion during visualization on PET/CT images has been developed, which allows for a quantitative and qualitative assessment of the influence of the patient’s respiratory movement on the geometric accuracy of pathological lesion visualization on PET/CT images with up to 98 % accuracy. …”
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    Live Visualization of Calcified Bones in Zebrafish and Medaka Larvae and Juveniles Using Calcein and Alizarin Red S by Rina Koita, Sae Oikawa, Taisei Tani, Masaru Matsuda, Akinori Kawamura

    Published 2024-12-01
    “…We present a comprehensive protocol for visualizing ossified bones in zebrafish and medaka larvae and juveniles using calcein and alizarin red S staining, which is both economical and efficient. …”
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  14. 1634

    High-fidelity pose estimation for real-time extended reality (XR) visualization for cardiac catheterization by Mohsen Annabestani, Sandhya Sriram, Alexandre Caprio, Sepehr Janghorbani, S. Chiu Wong, Alexandros Sigaras, Bobak Mosadegh

    Published 2024-11-01
    “…Our experimental study, involving six participants, demonstrated that the 3D visualization provided by the proposed XR system significantly outperformed 2D visualization in terms of speed and user experience. …”
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    A Bibliometric Analysis and Visualization of Research Trends and Hotspots in Actinic Keratosis Based on Web of Science by Cheng Z, Qiao Z, An S, Liu J, Ma W, Hao P

    Published 2025-06-01
    “…This study aims to use bibliometric methods to analyze the research and treatment hotspots of AK in recent years, in order to further understand the development direction and frontiers of this field.Methods: Core literature related to AK was retrieved from the Web of Science Core Collection (WoSCC) database. …”
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    Assessing progress on sustainable development goal 6 in the Arab world through performance and visualization analysis by Shaher Zyoud, Ahed H. Zyoud

    Published 2025-08-01
    “…The key themes likely to continue shaping future SDG 6-related research in the Arab world involve exploring diverse treatment methods to remove nitrate and sulfate ions from groundwater and addressing water contamination caused by substances such as heavy metals, dyes, industrial waste from the textile industry, and organic pollutants. …”
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