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  1. 2901

    Research on the Applicability of Hybrid RANS/LES Models to Predict the Flow Behavior in Bulb Tubular Pump Under Rated and Stall Conditions by Longyue Sun, Qiang Pan, Linlin Geng, Desheng Zhang, Xavier Escaler

    Published 2025-03-01
    “…The vortex identification method Omega is used to visualize the vortex structure characteristics of the time‐averaged flow field, uncovering large‐scale stall vortex structures under small flow conditions, with the blending RANS/LES turbulence model offering superior resolution of vortex structures. …”
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    Article
  2. 2902

    Optimizing surgical field visualization in total knee arthroplasty: a randomized controlled trial comparing esmarch bandages and simple leg elevation by Sirisak Chaitantipongse, Natthapong Hongku, Satit Thiengwittayaporn

    Published 2025-05-01
    “…Methods Patients who underwent primary unilateral TKA (n = 100) were randomized and equally divided into the Esmarch bandage (EM group) and simple leg elevation (LE group) groups. …”
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  3. 2903

    THE IMPORTANCE OF SPATIAL PERCEPTION IN ENGINEERING by Manuela Nechita, Radu Bosoanca

    Published 2025-06-01
    “…Descriptive geometry is one such course and this paper aims to present a method to bridge this gap, by providing skills that enable increased working memory to maintain the mental construction after the visual stimulus has disappeared. …”
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  4. 2904
  5. 2905

    Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

    Published 2025-02-01
    “…Then, two surgeons conducted clinical examination experiments on patients using two different methods, viewing 2D images and virtual reality infrastructure, and used the Likert scale (LS) to compare the effectiveness of surgical plans of the two methods. …”
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  6. 2906
  7. 2907

    Global research status and intelligent technology development trend of open-pit mining blasting: visualization analysis based on CiteSpace and VOSviewer by Jie Tan, Weiming Guan, Anye Cao, Changxin Wang, ZiZhao Zhang, Yun Duan, Hui Chen

    Published 2025-04-01
    “…On this basis, the applications of numerical simulation and machine learning in this field are systematically reviewed. New research methods for open-pit mining blasting technology are proposed by integrating the advantages of both numerical simulation and machine learning techniques.…”
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  8. 2908
  9. 2909

    Bibliometric analysis of research on intestinal flora and primary biliary cholangitis published between 2004 and 2024 using VOSviewer and CiteSpace visualization by Tao Li, Wang Jing

    Published 2025-05-01
    “…Excel, VOSviewer, and CiteSpace were used for econometric analysis and visualization of the identified articles.ResultsBetween 2004 and 2024, 167 articles focusing on intestinal flora and PBC were published. …”
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  10. 2910
  11. 2911

    PlantGaussian: Exploring 3D Gaussian splatting for cross-time, cross-scene, and realistic 3D plant visualization and beyond by Peng Shen, Xueyao Jing, Wenzhe Deng, Hanyue Jia, Tingting Wu

    Published 2025-04-01
    “…Observing plants across time and diverse scenes is critical in uncovering plant growth patterns. Classic methods often struggle to observe or measure plants against complex backgrounds and at different growth stages. …”
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  12. 2912

    Visualization of Sex Identification in Red‐Crowned Crane (Grus japonensis) via Recombinase‐Aided Amplification Combined With Pyrococcus furiosus Argonaute Assay by Shenluan Tan, Tongtong Zhan, Fanwen Zeng, Xuanjiao Chen, Tanzipeng Chen, Li Li, Hengxi Wei, Shouquan Zhang, Kejing Zuo

    Published 2025-07-01
    “…As sex‐monomorphic birds, red‐crowned cranes cannot be directly distinguished between females and males through observation. Molecular methods are accurate and stable for sex identification in birds and are widely used in zoos and farms. …”
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  13. 2913

    Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model by Chunyu Lei, Anhui Fu, Bin Li, Shengfu Zhou, Jun Liu, Yu Cao, Bo Zhou

    Published 2025-01-01
    “…ObjectiveTo evaluate the clinical utility of improved machine learning models in predicting poor prognosis following endovascular intervention for intracranial aneurysms and to develop a corresponding visualization system.MethodsA total of 303 patients with intracranial aneurysms treated with endovascular intervention at four hospitals (FuShun County Zigong City People's Hospital, Nanchong Central Hospital, The Third People's Hospital of Yibin, The Sixth People's Hospital of Yibin) from January 2022 to September 2023 were selected. …”
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  14. 2914

    Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization by Xiang Zhang, Hongjie Ma, Song Lin, Ledong Zhao, Lu Chen, Zetong Nie, Zhaoxiong Wang, Chang Liu, Xiaorong Li, Wenbo Li, Bojie Hu

    Published 2025-08-01
    “…Methods This retrospective study analyzed data from 95 patients with idiopathic MH who underwent vitrectomy with ILM peeling. …”
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  15. 2915
  16. 2916

    The value of non-enhanced CT 3D visualization in differentiating stage Ⅰ invasive lung adenocarcinoma between LPA and non-LPA by Jinxin Chen, Xinyi Zeng, Feng Li, Jidong Peng

    Published 2024-12-01
    “…Methods: A group of 178 individuals diagnosed with lung adenocarcinoma were chosen and categorized into two groups: the LPA group and the non-LPA group, according to their pathological results. …”
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  17. 2917
  18. 2918

    Abstract 153: Pre‐procedural 3D visualization of deep‐learning vascular segmentation enhances identification of difficult femoral access in thrombectomy by Pere Canals, Manuel Requena, Álvaro García‐Tornel, Marc Molina, Alejandro Tomasello, Jiahui Li, Simone Balocco, Oliver Díaz, Marc Ribó

    Published 2023-11-01
    “…Raters were asked to answer the same form for each case twice, once after visualizing only the CTA and again after visualizing a deep‐learning, automated 3D segmentation of the head‐and‐neck arteries from CTA [2]. …”
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