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    Effect of Lymphatic Drainage Manipulation on Knee Joint Swelling after Anterior Cruciate Ligament Reconstruction by MENG Cong, BAO Yong, ZHANG Weiming

    Published 2024-02-01
    “…></graphic></alternatives></inline-formula>=-1.070, -0.880, -0.600, <italic>P</italic>=0.003, 0.003, 0.048, respectively. …”
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  10. 26190

    Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV tes... by Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun

    Published 2025-02-01
    “…The final optimal XGBoost model for predicting CIN2+ showed good discrimination (AUROC, maximum 0.989 [0.987–0.992]; minimum 0.781 [0.74–0.819]), and calibration (brier score, maximum 0.118 [0.099–0.137]) in the five external validation sets. …”
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    Effect of Information Genotype on Investors' Inertia by Fatemeh Jahandari, Amirhossein Taebi Noghondari, Hadis Zeinali

    Published 2024-12-01
    “…In contrast, the regression coefficient for the sequence index of positive to negative information is -0.605, with a significance level of p = 0.036 (p < 0.1). …”
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  14. 26194

    Integrative analysis of cuproptosis-related lncRNAs: Unveiling prognostic significance, immune microenvironment, and copper-induced mechanisms in prostate cancer by Haitao Zhong, Yiming Lai, Wenhao Ouyang, Yunfang Yu, Yongxin Wu, Xinxin He, Lexiang Zeng, Xueen Qiu, Peixian Chen, Lingfeng Li, Jie Zhou, Tianlong Luo, Hai Huang

    Published 2025-01-01
    “…Survival analysis suggested that patients could be divided into high- and low-risk groups according to model scores and that there was a significant difference in disease-free survival (DFS) (P < 0.01). The area under the receiver operating characteristic (ROC) curve (AUC) indicated a strong predictive performance for the model, with AUCs of 0.913, 0.847, and 0.863 for the training group and 0.815, 0.907, and 0.866 for the test group at 12, 36, and 60 months, respectively. …”
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  15. 26195

    Kanuka honey versus aciclovir for the topical treatment of herpes simplex labialis: a randomised controlled trial by Nick Shortt, Alex Semprini, Mark Weatherall, Richard Beasley, Irene Braithwaite, Angela Liu, Melanie McConnell, Joseph Singer, Darmiga Thayabaran, Abbie Copinga, Abigail Cadwallader, Ahmad Zareh, Aidan Kortegast, Al-Sheibani Saif, Alaina van Zyl, Alex Graham, Alice Liu, Alice Manch, Alison van Wyke, Amanda Barkley, Amy Zhuang, Andrew Mcglashen, Androulla Kotrotsos, Angela Blackwood, Angeline Day-Mesuré, Annabel Turley, Anne Lim, Anne Marie-Nimmo, Anstey Harsant, Anthony Roberts, Ashley Cronin, Barbara Mcrae, Blair Finlayson, Bob Kim, Brandon, Brendon Mcintosh, Brian Johnston, Carina Soeteman, Carla Mcinness, Carrol Newman, Cassie Butler, Catherine Hosler, Cathy Hight, Chantel Kissick, Charlotte Schimanski, Chau Ly, Cheryl Mabbett, Chris Wrapson, Christy Biju, Chuck Varghese, Claire Livingston, Corry Bezems, Danielle Stewart, Daryl Sayer, David Postlewaight, Deb Lawrence, Debora Ngny, Deborah Ellison, Debra Clutterback, Delphine Destrez, Diana Montelli, Dipika Parmar, Dixie Howard, Donnie Loh, Eddie See, Elda Lubbe, Eric Li, Evan Tan, Fiona Mclachlan, Fiona Srush, Fran Chen, Garth Mitchinson, Gina Azer-Iskander, Glenn Summerville, Grace O’conner, Grant Bell, Hayley Garvin, Helen Jarvie, Henriette Meyer, Ingrid Nickson, Ingrid Reed, Irene Nicks, Jackie Jamieson, Jacqui Brus, Jacqui Craw, James Westbury, Jan Green, Janet Downing, Jayne Lewis, Jenna Ludlow, Jenni Puckley, Jennifer Gerbes, Jenny Sparks, Jenny Wu, Jess Barton, Jessica Ensor, Jilly Alexander, Jim Sherborne, Joanna Topliss, Jordan Jeffray, Jordon Hinton, Joseph Tsou, Joy Birch, Julia Mcdonald, Julie Earwaker, Julie Lamb, Julie Summers, Kadyn Lowe, Kaleigh Mackel, Karen Rich, Karen Chen, Karen Wainman, Karena Hall, Kate Adams, Kate Griffin, Kayleigh Mackel, Kelly Burgess, Kelly Harvey, Kelly Shearer, Kelsi Burns, Kerry Dean, Kerry Oxenham, Kritika Singh, Lara Blaikie, Leanne Hall, Leanne Herbert, Leanne Hosking, Leanne Steele, Leigh Vaughan, Lesley Robertson, Levi Bian, Linda Herman, Linda Joe, Linda Southby, Lisa Josephs, Lisa Mitchell, Lorina Lu, Lorraine Brunton, Lucy Armstrong, Lynda Bell, Malinda Ouk, Malli Kotali, Marcus Liddle, Margaret Helms, Marion Gray, Mark Arundel, Mark Webster, Martin Boyle, Maryanne Smyth, Mate Hegedus-Gaspar, Matthew Grey, Maureen Raju, Melanie Wong, Michelle Hwang, Michelle Nawisielski, Michelle Speirs, Natascha Roughton, Navjot Kaw, Neha Chand, Nehad Kamel, Neville Puckey, Nicholas Tee, Nimmi Gnanasekaran, Nolan Mcrae, Noor Al-Rawe, Oliver Rew, Olivia Haslam, Outi Kolju, Palak Mehta, Patrick Lim, Peter Neal, Rachael Gerretzen, Rachael Munns, Rachel Yang, Rachelle Smith, Raksha Goundar, Rav Singh, Ravniel Singh, Rebecca Coley, Rebecca Hesom, Rebekah Beard, Reece Olsen, Renee Belling, Robyn Morrison, Roseanna Mcdonald, Ruby Willing, Saif Al-Sherbeni, Sally Purdie, Sam Betty, Sam Appleford, Samantha Fordham, Samit Patel, Sara Preston, Sarah Wallace, Sascha Ion, Shahlaa Al Salih, Sharon Sullivan, Shazeel Rauf, Sheryl Montgomerie, Shilpa Narain, Shirin Namjou, Shuji Zhang, Simerjeet Singh, Sjaani Stanley, Sonia Schwaum, Steve Jo, Sultana Zannat, Tanya Baker, Tyler Pornchaisuksiri, Utsav Sharma, Vicki Douglas, Victoria Rameke, Vincent Ho, Vioky Usher, Violet Harley, Vishwatej Gangapuri, Warren Greene, Wendy Parkes, William Gia, Wilma Gordon, Yalun Weng, Yasmin Razoki, Yolanda Savage, Zheng Li

    Published 2019-05-01
    “…Secondary outcomes included time from randomisation to stage 4 (open wound), time from stage 4 to 7, maximal pain, time to pain resolution and treatment acceptability.Results Primary outcome variable: Kaplan-Meier-based estimates (95% CI) for the median time in days for return to normal skin were 8 (8 to 9) days for aciclovir and 9 (8 to 9) for honey; HR (95% CI) 1.06 (0.92 to 1.22), p=0.56. There were no statistically significant differences between treatments for all secondary outcome variables. …”
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    TERTp Mutation and its Prognostic Value in Glioma Patients Under the 2021 WHO Classification: A Real‐World Study by Hao Xing, Delin Liu, Junlin Li, Yulu Ge, Xiaopeng Guo, Wenlin Chen, Dachun Zhao, Yixin Shi, Yilin Li, Yaning Wang, Yuekun Wang, Yu Xia, Jiaming Wu, Tingyu Liang, Hai Wang, Qianshu Liu, Shanmu Jin, Tian Qu, Siying Guo, Huanzhang Li, Tianrui Yang, Kun Zhang, Yu Wang, Wenbin Ma

    Published 2025-01-01
    “…Survival analysis showed that TERTp mutation was a predictor of better prognosis in IDH‐mutant grade 2 gliomas (median OS (mOS): not reached (NA) (95% CI: NA–NA) vs. 75.9 (95% CI: 55.4–NA) months, HR = 0.077 (95% CI: 0.01–0.64), p = 0.003), while poor OS was associated with all Grade 4 gliomas (mOS: 17.5 (95% CI: 12.6–24.2) vs. 40.5 (95% CI: 24.4–83.8) months, HR = 2.014 (95% CI: 1.17–3.47), p = 0.01) and all IDH‐wildtype histology grade 2 or 3 gliomas (median OS: 12.6 (95% CI: 11–24.2) vs. 83.8 (95% CI: 35.2–NA) months, HR = 3.768 (95% CI: 1.83–7.78), p < 0.001). …”
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  18. 26198

    The role of skill and expertise and organizational resources along with the relevant components in the competitive environment of the organization (case study: Tehran Province Muni... by Mehdi Aghighi, Rashid Zolfegari Zaferani, Behzad Mashali

    Published 2025-03-01
    “…The findings also showed that the role of skill and expertise with a coefficient of 0.462 in the competitive environment of the organization is stronger than the role of organizational resources with a coefficient of 0.390, and the model has a good fit. …”
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  19. 26199

    Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector by J. P. Williams, J. P. Williams, M. Omara, M. Omara, A. Himmelberger, D. Zavala-Araiza, K. MacKay, K. MacKay, J. Benmergui, J. Benmergui, J. Benmergui, M. Sargent, S. C. Wofsy, S. P. Hamburg, S. P. Hamburg, R. Gautam, R. Gautam

    Published 2025-02-01
    “…Recent measurements, especially by satellite and aerial remote sensing, underscore the importance of targeting the small number of facilities emitting methane at high rates (i.e., “super-emitters”) for measurement and mitigation. …”
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