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    Endoscopically assisted selective antegrade cardioplegia in minimally invasive aortic valve replacement for patients with aortic insufficiencyCentral MessagePerspective by Joji Ito, MD, Hiroshi Nakanaga, MD, Hiromi Fujii, MD, Minoru Tabata, MD, PhD, MPH

    Published 2023-04-01
    “…Objective: In minimally invasive aortic valve replacement via a right minithoracotomy for patients with significant aortic insufficiency, optimal cardioplegia delivery procedures remain controversial. …”
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    Article
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    Feasibility of endovascular aortic arch repair after hemiarch replacement for acute type A aortic dissectionCentral MessagePerspective by Srihari K. Lella, MD, Matthew J. Eagleton, MD, Thoralf M. Sundt, III, MD, Sunita D. Srivastava, MD, Motahar Hosseini, MD, Jordan P. Bloom, MD, MPH, Antonia Kreso, MD, PhD, Serguei Melnitchouk, MD, MPH, Jahan Mohebali, MD, MPH, Arminder S. Jassar, MBBS, FRCS

    Published 2024-11-01
    “…Objective: We assessed the treatment feasibility of 4 investigational arch endografts currently available in the United States, for patients who have undergone hemiarch replacement for an acute DeBakey I dissection. …”
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    Improving Egg Quality in Tropical Environments: Assessing the Maize Meal Replacement by Wheat Bran and Soybean Oil in Laying Hen Diets by Mariana Novela, Abilio P. Changule, Igor I. S. Munguambe, Florentina D. Chilala, Leonel A. Joaquim, Eunice J. Chivale, Marcos Mabasso, Ramos J. Tseu, Filomena dos Anjos, Otília H. T. Tomo, Manuel Garcia‐Herreros, Custódio G. Bila

    Published 2025-07-01
    “…ABSTRACT Background The use of wheat bran (WB) in the monogastric animal feed is limited due to its high fibre content and low energy contents. Objectives The current study evaluated the effect of replacing maize meal with WB, in the absence or presence of soybean oil, on egg quality and economic performance indicators. …”
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  8. 388

    Mortality after transcatheter aortic valve replacement in young multimorbid patients as compared to an age-, gender- and comorbidity-matched background population by Pernille Steen Bække, Vilhelmas Bajoras, Vilhelmas Bajoras, Vilhelmas Bajoras, Jawad Butt, Thomas Pilgrim, Nicholas Joseph Montarello, Maurizio Taramasso, Didier Tchetche, Liesbeth Rosseel, Ričardas Kundelis, Ričardas Kundelis, Kristijonas Česas, Alexander Sedaghat, Jan-Malte Sinning, Rik Adrichem, Mizuki Miura, Magdalena Erlebach, Stephan Windecker, Darren Mylotte, Raj Makkar, Emil Fosbøl, Nicolas Van Mieghem, Ole De Backer

    Published 2025-06-01
    “…IntroductionContrary to the current guidelines patients with symptomatic severe aortic stenosis and ≤65 years of age are often referred for transcatheter aortic valve replacement (TAVR). However, the outcome after TAVR in this patient cohort remains unclear.ObjectivesThis study aimed to assess the rationale for denial of surgical aortic valve replacement (SAVR) in young multimorbid patients referred for TAVR, to evaluate 3-year all-cause mortality and to compare outcomes with a matched control cohort.Patients and methodsRetrospective data were collected on all consecutive patients ≤65 years of age with severe aortic stenosis treated with TAVR at 9 centres between 2010 and 2019. …”
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  9. 389

    Is virtual clinic follow-up of hip and knee joint replacement acceptable to patients and clinicians? A sequential mixed methods evaluation by Jennifer Wingham, Joanne Palmer, Rebekah J Parkes, Dan H Williams

    Published 2019-01-01
    “…Objective To evaluate the acceptability to key stake holders of a newly introduced virtual clinic follow-up pathway for hip and knee joint replacement.Design A service evaluation comprising a questionnaire sent electronically to 115 patients and interviews with 10 individuals.Setting A newly introduced virtual clinic follow-up pathway for hip and knee replacement patients in a district general hospital.Participants The electronic questionnaire was distributed to all patients treated under the virtual clinic service over a 5-month period (n=115). …”
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  10. 390

    Assessment on patient outcomes of primary hip replacement: an interrupted time series analysis from ‘The National Joint Registry of England and Wales’ by George Peat, Cyrus Cooper, Daniel Prieto-Alhambra, Andrew Judge, Amar Rangan, Andrew J Carr, Karen L Barker, Nigel K Arden, José Leal, Andrew James Price, Ray Fitzpatrick, Cesar Garriga

    Published 2019-11-01
    “…Objectives Effects of the UK Department of Health’s national Enhanced Recovery After Surgery (ERAS) Programme on outcomes after primary hip replacement.Design Natural experimental study using interrupted time series to assess the changes in trends before, during and after ERAS implementation (April 2009 to March 2011).Setting Surgeries in the UK National Joint Registry were linked with Hospital Episode Statistics containing inpatient episodes from National Health Service trusts in England and patient reported outcome measures.Participants Patients aged ≥18 years from 2008 to 2016.Main outcome measures Regression coefficients of monthly means of length of hospital stay, bed day cost, change in Oxford Hip Scores (OHS) 6 months post-surgery, complications 6 months post-surgery and revision rates 5 years post-surgery.Results 438 921 primary hip replacements were identified. …”
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    Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest by Lu Huang, Lu Huang, Xin Liu, Jiang Yi, Yu-Wei Jiao, Tian-Qi Zhang, Guang-Yao Zhu, Shu-Yue Yu, Zhong-Liang Liu, Min Gao, Xiao-Qin Duan

    Published 2025-04-01
    “…ObjectivesThis study proposes to construct a model to replace the on-road test and provide a bundled assessment on the driving function of stroke patients.MethodsClinical data were collected from 38 stroke patients who specified meeting criteria. …”
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    A Novel Dynamic Context Branch Attention Network for Detecting Small Objects in Remote Sensing Images by Huazhong Jin, Yizhuo Song, Ting Bai, Kaimin Sun, Yepei Chen

    Published 2025-07-01
    “…Finally, to ensure computational efficiency, we design a Dual-Gated Feedforward Network (DGFFN), a lightweight yet powerful replacement for standard FFNs. Extensive experiments conducted on four public remote sensing datasets demonstrate that the DCBANet achieves impressive mAP@0.5 scores of 80.79% on DOTA, 89.17% on NWPU VHR-10, 80.27% on SIMD, and a remarkable 42.4% mAP@0.5:0.95 on the specialized small object benchmark AI-TOD. …”
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  15. 395

    Lightweight coal mine conveyor belt foreign object detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

    Published 2025-03-01
    “…Lastly, the original CIoU loss function in Yolov8n is replaced with MPDIoU, which allows the model to more accurately predict the position and shape of bounding boxes in the object detection task, thereby further reducing accuracy loss. …”
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    Research on multi-objective topology optimization of unmanned sightseeing vehicle frame based on Analytic Hierarchy Process by Pei Tang, Weikai Xu, Zhenyu Ding, Minnan Jiang, Mao Lv

    Published 2024-10-01
    “…The rectangular steel frame structure of the original frame is replaced with square plates, the basic model of the unmanned sightseeing car frame is established, and a single-objective topology optimization mathematical model of the frame is established to optimize the topology design of the frame. …”
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    A multi-object detection method for building fire warnings through artificial intelligence generated content by Jingwei Fu, Zhen Xu, Qingrui Yue, Jiarui Lin, Ning Zhang, Yujie Zhao, Donglian Gu

    Published 2025-05-01
    “…Subsequently, a multi-object detection model is developed to enhance its feature capture capability, by incorporating the MLCA mechanism into its backbone and replacing the feature fusion layer in its neck. …”
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    MMPW-Net: Detection of Tiny Objects in Aerial Imagery Using Mixed Minimum Point-Wasserstein Distance by Nan Su, Zilong Zhao, Yiming Yan, Jinpeng Wang, Wanxuan Lu, Hongbo Cui, Yunfei Qu, Shou Feng, Chunhui Zhao

    Published 2024-11-01
    “…The detection of distant tiny objects in aerial imagery plays a pivotal role in early warning, localization, and recognition tasks. …”
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