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  1. 10001

    A study on the status quo and influencing factors of ICU nurses’ knowledge, attitude and practice towards physical restraints in general hospitals in Guangxi (广西壮族自治区ICU护士实施身体约束知信行... by MA Qiang (马强), LI Gaoye (李高叶), LIAO Tingting (廖婷婷), YU Qin (玉琴), HUANG Xiaobo (黄晓波), WEI Xiu (韦秀), XIE Haijuan (谢海娟)

    Published 2024-01-01
    “…Objective To explore the status quo of ICU nurses' knowledge, attitude and practice of physical restraints use in general hospitals in Guangxi, and to provide a theoretical basis for clinical training and quality control. Methods A simple random sampling method was used to select ICU nurses from Grade III and Grade II hospitals in Guangxi, including 2 Grade III hospitals and 3 Grade II hospitals, with a total of 201 ICU nurses. …”
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  2. 10002

    Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning studyResearch in context by Shan Jiang, Shuai Dai, Yulin Li, Xianlong Zhou, Cheng Jiang, Cong Tian, Yana Yuan, Chengwei Li, Yan Zhao

    Published 2025-02-01
    “…The qSepsis was derived by three ML algorithms, including logistic regression (LR), random forest (RF), and extreme gradient boosting (XGB). …”
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  3. 10003

    Peptide P2 targeting Vibrio parahaemolyticus PirB toxins blocks the cytotoxic effects to shrimp Litopenaeus vannamei by Xin Zhang, Ting Chen, Chunhua Ren, Yanhong Wang, Xiao Jiang, Jiasheng Huang, Bo Ma, Boxiang Zhu, Jiayue Yin, Chaoqun Hu, Peng Luo

    Published 2025-03-01
    “…Here, the PirB toxin-binding peptides were selected using the random phage peptide library kit, and their biological function was verified by injecting them under VpAHPND challenge. …”
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  4. 10004
  5. 10005

    Incorporating climate data with machine learning can improve rice phenology estimation by Yiqing Liu, Weihang Liu, Tao Ye, Shuo Chen, Xuehong Chen, Zitong Li, Ning Zhan, Ran Sun

    Published 2025-01-01
    “…Here, we developed a hybrid model by incorporating the growth-specific climate predictors and satellite-derived phenology using random forest approach. Results showed that our hybrid model successfully reduced errors by over 60% compared to traditional satellite-based methods. …”
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  6. 10006

    Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer by Jing Wang, Zhe Li, Wei Wang, Md Tauhidul Islam, Xiaoyan Wang, Zhen Han, Zihan Li, Guoxin Li, Yuming Jiang, Taojun Zhang, Wenjun Xiong, Zepang Sun, Lequan Yu, Zhicheng Zhang, Xianqi Yang, Shengtian Sang, Alyssa A Guo

    Published 2024-05-01
    “…An ensemble model, integrating four classifiers: least absolute shrinkage and selection operator, k-nearest neighbors, decision trees, and random forests, was developed and validated using pathomics features, with the objective of predicting the therapeutic efficacy of immune checkpoint inhibition. …”
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  7. 10007

    Unveiling neurogenic biomarkers for the differentiation between sepsis patients with or without encephalopathy: an updated meta-analysis by Jiyun Hu, Wenchao Li, Shucai Xie, Ya Liao, Tao Chen, Xinrun Wang, Weiping Xia, Fang Huang, Zhaoxin Qian, Lina Zhang

    Published 2025-02-01
    “…Heterogeneity among the included studies was examined using the I 2 statistic and random-effects model was applied owing to large heterogeneity. …”
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  8. 10008

    Study on Anti-fatigue Effect and Mechanism of <italic>Angelica sinensis</italic> Polysaccharide by HUANG Caiyun, HE Jifu, SONG Chunhong, WANG Nan, MA Yude

    Published 2022-10-01
    “…ObjectiveTo investigate the anti-fatigue effect and mechanism of <italic>Angelica sinensis</italic> polysaccharide (ASP) at di-fferent doses in mice.MethodsA total of 50 SPF male Kunming mice were randomly divided into blank control group, model group, ASP high-dose group, ASP medium-dose group, and ASP low-dose group according to the random number table method, with 10 mice in each group. …”
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  9. 10009
  10. 10010
  11. 10011

    Understanding the scale and nature of avoidable healthcare-associated harm for prisoners in England: protocol for a retrospective cross-sectional study by Andrew Carson-Stevens, Maria Panagioti, Adrian Edwards, Jenny Shaw, Stephen Campbell, Carl de Wet, Kate Davies, Anthony Avery, Stuart Hellard, Melanie Jordan, Caroline Sanders, Isobel Joy McFadzean, Jane Senior, Darren M. Ashcroft, Caroline Stevenson, Tim Millar, Saied Ibrahim, Thomas Hewson, Sandra Flynn, Thomas Purchase, Florian Walter, Sioned Gwyn, Richard N. Keers, Ellie Thompson, Verity Wainwright

    Published 2024-12-01
    “…We will focus on two samples: an enhanced risk sample of prisoners, considered to be at the most risk of healthcare-associated harm, and a random sample of prisoners excluded from the enhanced risk sample, to estimate the incidence of avoidable harm, and express this as ‘per 100 000 patients per year’. …”
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  12. 10012

    Profil Kasus Tuberkulosis Paru di Instalasi Rawat Inap Paru RSUP Dr. M. Djamil Padang Periode 1 Januari 2010 - 31 Desember 2011 by Muhammad Gamal Eddin, Oea Khairsyaf, Elly Usman

    Published 2015-09-01
    “…Shortbreathness (56%) is the most clinical finding and anemia (66%), high eritrocytes sedimen rate (ESR) (95%), normal random blood glucose (89%), normal serum glutamic oxsaloasetic transaminase (SGOT) (72%), and normal serum glutamic pyruvic transaminase (SGPT) (84%) are the most clinical<br />laboratorium findings. …”
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  13. 10013

    Effectiveness of a universal film intervention in reducing violence against children and increasing positive parenting among migrant and displaced caregivers from Myanmar: a commun... by Amanda Sim, Khaing Zar Lwin, Stephanie Eagling-Peche, G.J. Melendez-Torres, Seema Vyas, Francisco Calderon, Tawanchai Jirapramukpitak, Jamie Lachman, Sureeporn Punpuing, Andrea Gonzalez, Mary Soan, Nway Nway Oo, Ivet Castello Mitjans, Greg Tyrosvoutis, Eve Puffer

    Published 2025-02-01
    “…Methods: We implemented a two-arm, cluster randomised trial in Tak province, Thailand, on the border with Myanmar. 44 communities were stratified by district and randomly allocated to intervention or control (1:1) using a computer-generated list of random numbers. …”
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  14. 10014

    LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

    Published 2025-01-01
    “…Feature selection was performed using differential expressed protein analysis, area under curve (AUC) evaluation and least absolute shrinkage and selection operator (LASSO) regression. Random forest was used for multitask model construction based on the key proteins. …”
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  15. 10015

    Prevalence of abnormal bone mineral density and its influencing factors among adult residents in Jiangsu province: a cross-sectional survey by Weihao WANG, Huijing HE, Yaoda HU, Xingming CHEN, Tan XU, Ji TU, Ang LI, Binbin LIN, Qihang LIU, Zhiming LU, Tianshu XI, Haibo HUANG, Da XU, Zhili CHEN, Zichao WANG, Guangliang SHAN

    Published 2024-11-01
    “…MethodsUsing stratified multistage cluster random sampling, we recruited 6 000 adult permanent residents (≥ 20 years old and living locally for at least 5 years) without disability or serious illness and, for women, not pregnant or breastfeeding, in urban and rural areas of Jiangsu province. …”
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  16. 10016

    The prevalence and burden of musculoskeletal disorders amongst Indigenous people in Pimicikamak, northern Manitoba, Canada: A community health survey by André Bussières, Melissa Atkinson-Graham, Jennifer Ward, Muriel Scott, Jean Moss, Patricia Tavares, Deborah Kopansky-Giles, Jacqueline Ladwig, Cheryl Glazebrook, David A. Monias, Helga Hamilton, Donald Z. Mckay, Randall Smolinski, Scott Haldeman, Sheilah Hogg-Johnson, Steven Passmore

    Published 2025-01-01
    “…Objectives: To investigate the prevalence of spine symptoms and spine disability, self-care and care seeking behaviors in a random sample of Indigenous adults residing in Cross Lake, northern Manitoba, Canada. …”
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  17. 10017

    Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective coho... by Stefanie Aeschbacher, David Conen, Diederick E Grobbee, Raphael Twerenbold, Thomas Lung, Theo Rispens, Jakob Kjellberg, Lorenz Risch, Martin Risch, Marianna Mitratza, Harald Renz, Spiros Denaxas, Billy Franks, Diederick Grobbee, Martina Rothenbühler, Janneke Wijgert, Santiago Montes, Richard Dobson, Hans Reitsma, Christian Simon, Titia Leurink, Charisma Hehakaya, Patricia Bruijning, Kirsten Grossmann, Ornella C Weideli, Marc Kovac, Fiona Pereira, Nadia Wohlwend, Corina Risch, Dorothea Hillmann, Daniel Leibovitz, Vladimir Kovacevic, Andjela Markovic, Paul Klaver, Timo B Brakenhoff, George S Downward, Ariel Dowling, Maureen Cronin, Brianna M Goodale, Brianna Goodale, Ornella Weideli, Regien Stokman, Hans Van Dijk, Eric Houtman, Jon Bouwman, Kay Hage, Lotte Smets, Marcel van Willigen, Maui Chodura, Niki de Vink, Tessa Heikamp, Timo Brakenhoff, Wendy van Scherpenzeel, Wout Aarts, Alison Kuchta, Antonella Chiucchiuini, Steve Emby, Annemarijn Douwes, George Downward, Nathalie Vigot, Pieter Stolk, Duco Veen, Daniel Oberski, Amos Folarin, Pablo Fernandez Medina, Eskild Fredslund

    Published 2022-06-01
    “…The training set consisted of 40 days measurements from 66 participants. Based on a random split, the test set included 30% of participants and 70% were selected for the training set. …”
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  18. 10018

    Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling by Zhaodong Zheng, Fangjie Mao, Huaqiang Du, Xuejian Li, Fengfeng Ye, Xianfeng Teng, Ningxin Yang, Jiacong Yu, Meixuan Song, Yinyin Zhao

    Published 2025-01-01
    “…In this study, photosynthetic water stress module of BIOME-BGC was improved and optimized by long-term carbon flux observations from the Anji MBF site, then the temporal variations of Gross Primary Production (GPP) were simulated and analyzed from 2000 to 2019. Finally, Random Forest (RF) and Structural Equation Modeling (SEM) were implemented to explore the responses of GPP to drought during different periods of the growing season. …”
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  19. 10019

    Effect and safety analysis of auricular acupoint pressing therapy at different frequencies on insomnia and constipation (不同治疗频次耳穴压豆干预失眠和便秘的效果及安全性分析)... by LIU Hongbo (刘泓博), JIN Xianglan (金香兰), SONG Jiale (宋佳乐), LI Jiaji (李佳霁), LIU Yanna (刘燕娜), WANG Xuesong (王雪送), GUO Jingrui (郭经睿), HU Shirong (胡世荣)

    Published 2024-12-01
    “…Methods Patients with insomnia and constipation who were hospitalized in the hospital from January 2023 to June 2024 were selected as the research objects. According to the random number table method, the patients were divided into the control group (continuous treatment of auricular acupointy pressing) (n=100), the observation group A (continuous treatment with auricular bean-pressing for 5 days, stopped for 2 days) (n=100), and the observation group B (continuous treatment with auricular acupoint pressing for 3 days, stopped for 1 day) (n=100). …”
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  20. 10020

    CaMKII-dependent non-canonical RIG-I pathway promotes influenza virus propagation in the acute-phase of infection by Shinichiro Hama, Miho Watanabe-Takahashi, Hiroki Nishimura, Jumpei Omi, Masakazu Tamada, Takashi Saitoh, Katsumi Maenaka, Yuta Okuda, Aoi Ikegami, Asami Kitagawa, Koudai Furuta, Kana Izumi, Eiko Shimizu, Takashi Nishizono, Makoto Fujiwara, Tomohiro Miyasaka, Shigeo Takamori, Hiroshi Takayanagi, Keizo Nishikawa, Toshihiko Kobayashi, Noriko Toyama-Sorimachi, Makoto Yamashita, Toshiya Senda, Takatsugu Hirokawa, Haruhiko Bito, Kiyotaka Nishikawa

    Published 2025-01-01
    “…Here, we identified CaMKII inhibitory peptide M3 by targeting its kinase domain using affinity-based screening of a tailored random peptide library. M3 inhibited IAV cytopathicity and propagation in cells by specifically inhibiting the acute-phase activation of retinoic acid-inducible gene I (RIG-I), which is uniquely regulated by CaMKII. …”
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