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    Exposure to Subclinical Doses of Fumonisins, Deoxynivalenol, and Zearalenone Affects Immune Response, Amino Acid Digestibility, and Intestinal Morphology in Broiler Chickens by Revathi Shanmugasundaram, Laharika Kappari, Mohammad Pilewar, Matthew K. Jones, Oluyinka A. Olukosi, Anthony Pokoo-Aikins, Todd J. Applegate, Anthony E. Glenn

    Published 2025-01-01
    “…The study was conducted to evaluate the least toxic effects of combined mycotoxins fumonisins (FUM), deoxynivalenol (DON), and zearalenone (ZEA) on the production performance, immune response, intestinal morphology, and nutrient digestibility of broiler chickens. A total of 960 one-day-old broilers were distributed into eight dietary treatments: T1 (Control); T2: 33.0 FUM + 3.0 DON + 0.8 ZEA; T3: 14.0 FUM + 3.5 DON + 0.7 ZEA; T4: 26.0 FUM + 1.0 DON + 0.2 ZEA; T5: 7.7 FUM + 0.4 DON + 0.1 ZEA; T6: 3.6 FUM + 2.5 DON + 0.9 ZEA; T7: 0.8 FUM + 1.0 DON + 0.3 ZEA; T8: 1.0 FUM + 0.5 DON + 0.1 ZEA, all in mg/kg diet. …”
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    Man versus Machine: Software Training for Surgeons—An Objective Evaluation of Human and Computer-Based Training Tools for Cataract Surgical Performance by Nizar Din, Phillip Smith, Krisztina Emeriewen, Anant Sharma, Simon Jones, James Wawrzynski, Hongying Tang, Paul Sullivan, Silvestro Caputo, George M. Saleh

    Published 2016-01-01
    “…This study aimed to address two queries: firstly, the relationship between two cataract surgical feedback tools for training, one human and one software based, and, secondly, evaluating microscope control during phacoemulsification using the software. …”
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    Recent advances in systemic therapy for advanced biliary tract cancer: A systematic review and meta-analysis using reconstructed RCT survival data by Zhihao Li, Daniel Aliseda, Owen Jones, Luckshi Rajendran, Christian Magyar, Robert Grant, Grainne M. O’Kane, Anna Saborowski, Gonzalo Sapisochin, Arndt Vogel

    Published 2025-03-01
    “…The primary endpoints were overall survival (OS) and progression-free survival. We conducted a one-stage meta-analysis using reconstructed survival data, Cox-based models, and restricted mean survival time (RMST). …”
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    Optimization and Prediction of Mechanical and Thermal Properties of Graphene/LLDPE Nanocomposites by Using Artificial Neural Networks by P. Noorunnisa Khanam, MA AlMaadeed, Sumaaya AlMaadeed, Suchithra Kunhoth, M. Ouederni, D. Sun, A. Hamilton, Eileen Harkin Jones, Beatriz Mayoral

    Published 2016-01-01
    “…ANN can be confidently used as a tool to predict the above material properties before investing in development programs and actual manufacturing, thus significantly saving money, time, and effort.…”
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