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  1. 341

    Predictors of Length-of-Stay Among Transcatheter Aortic Valve Replacement Patients Using a Supervised Machine Learning Algorithm by Gregory L. Judson, MD, Jeff Luck, PhD, Skye Lawrence, BA, Rakan Khaki, MPH, Harsh Agrawal, MD, Krishan Soni, MD, Kirsten Tolstrup, MD, Vijayadithyan Jaganathan, MD, Vaikom S. Mahadevan, MD

    Published 2025-08-01
    “…Background: Length of stay following transcatheter aortic valve replacement (TAVR) continues to improve, but significant gaps remain in predicting the length of stay following TAVR. …”
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    Article
  2. 342

    TWEAK/Fn14 Drives Tumor Progression and Is Associated With Poor Survival of Colorectal Liver Metastases With Replacement Growth Patterns by Naoki Matsuyama, Takanori Konishi, Tsukasa Takayashiki, Shigetsugu Takano, Daisuke Suzuki, Nozomu Sakai, Isamu Hosokawa, Takashi Mishima, Kensuke Suzuki, Hitoe Nishino, Shinichiro Nakada, Masayuki Ohtsuka

    Published 2025-07-01
    “…ABSTRACT Objective Colorectal liver metastases (CRLMs) with replacement growth pattern (rHGP) are associated with a poor prognosis; however, the underlying mechanisms driving rHGP remain poorly understood. …”
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    Article
  3. 343

    Efficacies of continuous renal replacement therapy for severe patients with chronic renal failure and the influencing factors of long-term prognosis by Ma Qin-qin, Zhou Ying, Zhang Yan-nan, Chen Chen, Yu Ying-hua, Li Tian-min

    Published 2022-09-01
    “…ObjectiveTo explore the clinical efficacy of continuous renal replacement therapy (CRRT) for severe patients with chronic renal failure (CRF) and examine the influencing factors of long-term prognosis.MethodsFrom September 2018 to April 2021, 160 hospitalized severe CRF patients were selected as research subjects. …”
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  4. 344

    Early Urine Output in the Emergency Room as a Prognostic Indicator for Critically Ill Patients Undergoing Continuous Renal Replacement by Soo Hyun Han, Changshin Kang, Hyerim Park, Eu Jin Lee, Young Rok Ham, Ki Ryang Na, Jung Soo Park, Dae Eun Choi

    Published 2025-05-01
    “…Objectives: The impact of initial emergency room (ER) factors on survival and renal function in critically ill patients undergoing continuous renal replacement therapy (CRRT) remains unclear. …”
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    Article
  5. 345

    Long-term durability of bioprosthetic aortic valve replacement in young patients with bicuspid aortic stenosisCentral MessagePerspective by Christopher K. Mehta, MD, Tom X. Liu, MD, MS, Abigail S. Baldridge, DrPh, Jane Kruse, BSN, Jyothy Puthumana, MD, Robert O. Bonow, MD, Duc T. Pham, MD, Douglas R. Johnston, MD, S. Christopher Malaisrie, MD, Patrick M. McCarthy, MD

    Published 2024-09-01
    “…Objective: To examine long-term surgical aortic valve replacement (SAVR) outcomes for young (ie, younger than age 65 years) patients with bicuspid aortic valve and aortic stenosis (AS) with or without concomitant aneurysm. …”
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    Article
  6. 346

    Metabolic Effects of Testosterone Replacement Therapy in Patients with Type 2 Diabetes Mellitus or Metabolic Syndrome: A Meta-Analysis by Shu-ying Li, Ya-ling Zhao, Yu-fan Yang, Xi Wang, Min Nie, Xue-yan Wu, Jiang-feng Mao

    Published 2020-01-01
    “…Background. Testosterone replacement therapy (TRT) is commonly used for the treatment of hypogonadism in men, which is often associated with type 2 diabetes mellitus (T2DM) and metabolic syndrome (Mets). …”
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    Article
  7. 347

    Impact of Intravenous Iron Replacement Therapy on Healthcare Costs for Patients with Iron Deficiency Anemia in the USA: A Retrospective Analysis by Nicole M. Engel-Nitz, Winghan Jacqueline Kwong, Kevin Wang, Summer Tran, Amy Anderson

    Published 2025-05-01
    “…Objective We aimed to compare healthcare resource utilization and costs for patients treated with intravenous ferric carboxymaltose (FCM) or low-dose iron for iron deficiency anemia. …”
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    Article
  8. 348

    Short- and long-term results of total arch replacement: Comparison between island and debranching techniquesCentral MessagePerspective by Eilon Ram, MD, Christopher Lau, MD, Arnaldo Dimagli, MD, Ngoc-Quynh Chu, MD, Giovanni Soletti, Jr., MD, Mario Gaudino, MD, Leonard N. Girardi, MD

    Published 2023-08-01
    “…Objective: The 2 most acceptable techniques for reimplantation of the supra-aortic vessels in total arch replacement include the branched graft technique (debranching) or en bloc technique (island). …”
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  9. 349
  10. 350

    Comparative Perioperative Inflammatory and Functional Outcomes in Single Versus Multiple Joint Replacements for Hemophilic Arthritis: A Pilot Study by Maoye Shen, Ping Qian, Wenxue Jiang, Shanyou Yuan, Gaorui Cai, Zhenzhong Zhou, Xiaona Wu, Jinghua Wang, Xianjia Ning, Lixia Song

    Published 2025-06-01
    “…ABSTRACT Objective Hemophilic arthritis is a progressive joint disease often requiring surgical intervention in advanced stages. …”
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    Article
  11. 351

    Small object detection in complex open-pit mine backgrounds based on improved YOLOv11 by ZHU Yongjun, CAI Guangqi, HAN Jin, MIAO Yanzi, MA Xiaoping, JIAO Wenhua

    Published 2025-04-01
    “…The improved YOLOv11 model introduced a Robust Feature Downsampling (RFD) module to replace the stride convolution downsampling module, effectively preserving the feature information of small objects. …”
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  12. 352

    Enhancing Real-Time Road Object Detection: The RD-YOLO Algorithm With Higher Precision and Efficiency by Weijian Wang, Wei Yu

    Published 2024-01-01
    “…Second, we design a high-resolution detection branch to enhance the accuracy of small-scale object detection. Finally, we introduce MPDIoU as the new bounding box regression loss function, replacing the original loss function to accelerate algorithm convergence and improve target localization accuracy. …”
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  13. 353

    Anchor-Free Object Detection Algorithm Based on Dual-Angle Multi-Scale Feature Fusion by WANG Xiaoyu, WEI Yuxin, LU Jianyu, YU Yue

    Published 2024-08-01
    “… In response to the problem of insufficient feature extraction and insufficient detection accuracy in the anchor-free frame object detection algorithm CenterNet. We propose an improved algorithm based on dual-angle multi-scale feature fusion. …”
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  14. 354

    Disappearing Bodies, Disappearing Objects: What Years and Years Can Teach Us About Design by Saul Pandelakis

    Published 2021-07-01
    “…The concept of disappearance will be key as all three objects purport to replace jobs and the workers who hold such positions. …”
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  15. 355

    Field Survey of the Destroyed 17th–18th Centuries Objects of Industrial Heritage in the Urals by E. A. Kurlaev

    Published 2023-01-01
    “…However, to date, many destroyed industrial monuments have not become the objects of archaeological research and inventory, since they are not recognized as archaeological, and there are no appropriate methods for their search and study. …”
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    Article
  16. 356

    TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5 by Han Wang, Zhenwei Yang, Qiaoshou Liu, Qiang Zhang, Honggang Wang

    Published 2025-05-01
    “…In automatic driving systems, accurate and efficient object detection is essential to ensure driving safety and improve the driving experience. …”
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  17. 357

    VRU-YOLO: A Small Object Detection Algorithm for Vulnerable Road Users in Complex Scenes by Yunxiang Liu, Yuqing Shi

    Published 2025-01-01
    “…This study demonstrates that the improved model offers more efficient performance in small object detection scenarios, making it well-suited for VRU detection in complex road environments.…”
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  18. 358

    MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images by Honghui Jiang, Tingting Luo, Hu Peng, Guozheng Zhang

    Published 2024-01-01
    “…Rotated object detection in remote sensing images presents a highly challenging task due to the extensive fields of view and complex backgrounds. …”
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  19. 359
  20. 360

    LMSOE-Net: lightweight multi-scale small object enhancement network for UAV aerial images by Zhixing Ma, Peidong Luo, Xiaole Shen

    Published 2025-06-01
    “…Abstract Detecting objects of varying scales, especially small ones, in Unmanned Aerial Vehicle (UAV) aerial images across diverse scenarios and viewpoints using onboard edge devices is a major challenge in computer vision. …”
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