Showing 10,021 - 10,040 results of 17,304 for search '"random"', query time: 0.14s Refine Results
  1. 10021

    The efficacy of sodium-glucose transporter 2 inhibitors in patients with nonalcoholic fatty liver disease: A systematic review and meta-analysis by Hongsheng Li, Yanli Hou, Wenyong Xin, Lina Ding, Ying Yang, Yikun Zhang, Wenqi Wu, Zhibin Wang, Wenyu Ding

    Published 2025-03-01
    “…The mean differences (MD or SMD) and 95 % confidence intervals (CIs) were calculated via random-effects models. Eleven articles (n = 805 patients with NAFLD) were included in this study. …”
    Get full text
    Article
  2. 10022

    Effect of Chinese herbal medicine pack hot compress on relieving the pruritus in diabetes patients with deficiency of both Qi and Yin syndrome (药包热敷器治疗气阴两虚型糖尿病皮肤瘙痒效果观察)... by YUAN Zheng (袁铮), LIU Qing (刘青), CHEN Yuanyuan (陈媛媛), LI wei (李伟)

    Published 2024-11-01
    “…Methods From January 2024 to May 2024, 64 diabetes patients with deficiency of both Qi and Yin syndrome were divided into the control group and the intervention group according to the random number table grouping method, of 32 patients in each group, Both groups were administered the same basic treatment, The control group were given oral loratadine tablets, 10 mg orally once after a daily breakfast, 14 days; The intervention group was treated with Chinese herbal medicine pack hot compress. …”
    Get full text
    Article
  3. 10023

    Unraveling the immunological landscape and gut microbiome in sepsis: a comprehensive approach to diagnosis and prognosisResearch in context by Yali Luo, Jian Gao, Xinliang Su, Helian Li, Yingcen Li, Wenhao Qi, Xuling Han, Jingxuan Han, Yiran Zhao, Alin Zhang, Yan Zheng, Feng Qian, Hongyu He

    Published 2025-03-01
    “…Immunophenotype shifts were evaluated using differential expression sliding window analysis, and random forest models were developed for sepsis diagnosis or prognosis prediction. …”
    Get full text
    Article
  4. 10024

    Effects of non-pharmacological interventions on depressive and anxiety symptoms in pregnant women: a systematic review and network meta-analysisResearch in context by Guowei Zeng, Jianfeng Niu, Ke Zhu, Fei Li, Liwen Li, Kaiming Gao, Yanlong Zhuang, Boyang Zhang, Xiaoqiang Han, Gang Ye, Zhikun Gao, Haobai Li

    Published 2025-01-01
    “…We performed both pairwise meta-analyses and random-effects network meta-analyses (NMAs), calculating standardised mean differences (SMDs) with 95% credible intervals (CrI). …”
    Get full text
    Article
  5. 10025
  6. 10026
  7. 10027
  8. 10028

    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
    “…Objective To compare New Zealand medical grade kanuka honey with topical aciclovir for the treatment of herpes simplex labialis.Design Prospective parallel randomised controlled open-label superiority trial.Setting 76 community pharmacies across New Zealand between 10 September 2015 and 13 December 2017.Participants 952 adults randomised within the first 72 hours of a herpes simplex labialis episode.Interventions Random assignment 1:1 to either 5% aciclovir cream or medical grade kanuka honey (90%)/glycerine (10%) cream, both applied five times daily.Outcome measures The primary outcome was time from randomisation to return to normal skin (stage 7). …”
    Get full text
    Article
  9. 10029

    Safety and effects of anti-obesity medications on weight loss, cardiometabolic, and psychological outcomes in people living with overweight or obesity: a systematic review and meta... by Leiling Liu, Zhiqi Li, Wenrui Ye, Pu Peng, Yurong Wang, Luqing Wan, Jiangnan Li, Mei Zhang, Yihua Wang, Runqi Liu, Danyan Xu, Jingjing Zhang

    Published 2025-01-01
    “…Summary data was extracted from published reports. Random-effects meta-analyses were used to calculate weighted mean differences (WMDs), risk ratios (RRs), and 95% confidence intervals (CI). …”
    Get full text
    Article
  10. 10030

    Self-Normalized Moderate Deviations for Degenerate <i>U</i>-Statistics by Lin Ge, Hailin Sang, Qi-Man Shao

    Published 2025-01-01
    “…Let <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>{</mo><msub><mi>X</mi><mi>i</mi></msub><mo>,</mo><mi>i</mi><mo>≥</mo><mn>1</mn><mo>}</mo></mrow></semantics></math></inline-formula> be i.i.d. random variables and consider symmetric and degenerate kernel functions in the form <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>h</mi><mrow><mo>(</mo><mi>x</mi><mo>,</mo><mi>y</mi><mo>)</mo></mrow><mo>=</mo><msubsup><mo>∑</mo><mrow><mi>l</mi><mo>=</mo><mn>1</mn></mrow><mo>∞</mo></msubsup><msub><mi>λ</mi><mi>l</mi></msub><msub><mi>g</mi><mi>l</mi></msub><mrow><mo>(</mo><mi>x</mi><mo>)</mo></mrow><msub><mi>g</mi><mi>l</mi></msub><mrow><mo>(</mo><mi>y</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula>, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>λ</mi><mi>l</mi></msub><mo>></mo><mn>0</mn></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>E</mi><msub><mi>g</mi><mi>l</mi></msub><mrow><mo>(</mo><msub><mi>X</mi><mn>1</mn></msub><mo>)</mo></mrow><mo>=</mo><mn>0</mn></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>g</mi><mi>l</mi></msub><mrow><mo>(</mo><msub><mi>X</mi><mn>1</mn></msub><mo>)</mo></mrow></mrow></semantics></math></inline-formula> is in the domain of attraction of a normal law for all <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>l</mi><mo>≥</mo><mn>1</mn></mrow></semantics></math></inline-formula>. …”
    Get full text
    Article
  11. 10031

    AI-based tumor-infiltrating lymphocyte scoring system for assessing HCC prognosis in patients undergoing liver resection by Zhiyang Chen, Tingting Xie, Shuting Chen, Zhenhui Li, Su Yao, Xuanjun Lu, Wenfeng He, Chao Tang, Dacheng Yang, Shaohua Li, Feng Shi, Huan Lin, Zipei Li, Anant Madabhushi, Xiangtian Zhao, Zaiyi Liu, Cheng Lu

    Published 2025-02-01
    “…We trained a deep neural network and a random forest model to segment tumor regions and locate CD8+ TILs in H&E and CD8-stained whole-slide images. …”
    Get full text
    Article
  12. 10032

    Development and predictors of bipolar disorder in children and adolescents with depressive disorders: a systematic review, meta-analysis, and meta-regression by Gonzalo Salazar de Pablo, Violeta Perez-Rodriguez, Javier de Otazu Olivares, Javier Camacho-Rubio, Aditya Sharma, Ana Catalán, Josefien Breedvelt, Claudia Aymerich, Mihai Pop, Carmen Moreno, Ian Kelleher, Jane Anderson, Paolo Fusar-Poli, Christoph U Correll, Allan H. Young

    Published 2025-01-01
    “…Methods In this systematic review and meta-analysis (PROSPERO:CRD42023431301), PubMed and Web-of-Science databases were searched for longitudinal studies reporting the percentage of C&A with ICD/DSM-defined depressive disorders who developed BD during follow-up. Data extraction, random-effects meta-analysis, between-study heterogeneity analysis, quality assessment, sub-group analyses, and meta-regressions were conducted. …”
    Get full text
    Article
  13. 10033

    Early Warning Model and Currency Crisis in the Iranian Economy A Probit Approach by Mohammadjavad Khosrosereshki, Yavar Dashtbany

    Published 2024-12-01
    “…First, using Bai-Perron (1997) and oil revenue as a state variable of the economy, the duration was divided into three periods: low oil revenue, high oil revenue, and sanctions. The random walk equation was estimated. logoil t =a+b  logoil t-1 + ε t                                                                (1) Second, for each period, according to Weymark's (1995) model, the exchange market pressure (EMP) and direct intervention indices were calculated. …”
    Get full text
    Article
  14. 10034

    EDENT1FI Master Protocol for screening of presymptomatic early-stage type 1 diabetes in children and adolescents by Melanie Gündert, Anette-Gabriele Ziegler, Peter Achenbach, Olga Kordonouri, Agnieszka Szypowska, Ezio Bonifacio, Parth Narendran, Christiane Winkler, R Ribeiro, Sandra Hummel, Przemysława Jarosz-Chobot, Emanuele Bosi, R Lahesmaa, K Casteels, M Peakman, P Jarosz-Chobot, O Kordonouri, Chantal Mathieu, Vito Lampasona, J F Raposo, H Hyöty, F Pociot, João Filipe Raposo, R Berner, R Bergholdt, E Bonifacio, Flemming Pociot, B Petersen, J Van Rampelbergh, L Overbergh, B Van der Schueren, V Lampasona, C Winkler, R Coelho, O Cohen, C Mathieu, E Bosi, Stefanie Arnolds, Lut Overbergh, Zdenek Sumnik, A Koralova, G Sebastiani, Luisa Hoffmann, Mirjam Kohls, Regine Bergholdt, Bianca K Hoefelschweiger, Jurgen Vercauteren, P Gillard, J Vercauteren, A G Ziegler, P Achenbach, F Haupt, S Hummel, T Pieber, J Mader, S Moitzi, S Del Prato, B Torbeyns, Z Sumnik, O Cinek, V Neuman, B Berka, J Antvorskov, J H Klaebel, J E Laiho, F Reschke, T von dem Berge, A Hommel, A Loff, G Gemulla, N Zubizarreta, L Piemonti, F Dotta, A Szypowska, K Karczewski, E Niemoeller, M Baccara-Dinet, K Fogh, M I Buompensiere, C Hurtado del Pozo, E Latres, G Agiostratidou

    Published 2025-01-01
    “…Children and adolescents with confirmed two or more autoantibodies are invited to metabolic staging (oral glucose tolerance test, haemoglobin A1c (HbA1c), random glucose, optionally continuous glucose monitoring); an educational programme and recommendations for monitoring are provided. …”
    Get full text
    Article
  15. 10035

    Effect of ERAS Baduancao based on the integration of martial arts and medicine on perioperative negative emotion and sleep quality in patients undergoing surgery for gastrointestin... by CAI Hui (蔡晖), ZHOU Chen (周晨), WANG Qing (王青), QIN Mengying (秦梦颖), WANG Yan (王艳)

    Published 2024-12-01
    “…A Total of 78 patients with gastrointestinal cancer admitted from March 2020 to June 2023 were selected as the research subjects. They were randomly divided into a control group of 39 cases and an experimental group of 39 cases using a random number table method. …”
    Get full text
    Article
  16. 10036

    Spatial heterogeneity determines the gastrointestinal microbiome signatures and ecological processes that govern bacterial community assembly in sheep by Yukun Zhang, Jiangbo Cheng, Changchun Lin, Fadi Li, Xiaoxue Zhang, Chong Li, Deyin Zhang, Xiaobin Yang, Dan Xu, Yuan Zhao, Liming Zhao, Xiaolong Li, Huibin Tian, Xiuxiu Weng, Weimin Wang

    Published 2025-02-01
    “…The assembly processes in the four-chambered stomach and small intestine resembled random selection, where bacterial positioning depended on luck and chance, while in the large intestine, it appeared more deterministic, with specific bacteria likely selected based on their unique skills and environmental requirements. …”
    Get full text
    Article
  17. 10037

    Le fromage en Gaule à l’âge du Fer et à l’époque romaine : état des lieux pour sa production et analyse de sa place dans le monde antique by Alain Ferdière, Jean-Marc Séguier

    Published 2020-12-01
    “…In the current state of the documentation the distribution of these cheese strainers appears to be non-random, leaving large empty areas. For the Iron Age the Aisne-Marne and Languedoc cultural areas were favoured in the 6th-5th c. …”
    Get full text
    Article
  18. 10038

    Genetic Stability and Inbreeding in a Synthetic Maize Variety Based on a Finite Model by Juan Enrique Rodríguez-Pérez, Jaime Sahagún-Castellanos, Aureliano Peña-Lomelí, Clemente Villanueva-Verduzco, Denise Arellano-Suarez

    Published 2025-01-01
    “…This research aimed to evaluate the effect of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>m</mi></mrow></semantics></math></inline-formula> on the inbreeding coefficient (IC) of the SV (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi><mi>S</mi><mi>y</mi><msub><mrow><mi>n</mi></mrow><mrow><mi>L</mi></mrow></msub></mrow></semantics></math></inline-formula>) and on the stability of its genetic constitution. An SV formed by randomly mating <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">l</mi></mrow></semantics></math></inline-formula> unrelated lines whose inbreeding coefficient is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>F</mi></mrow></semantics></math></inline-formula> was considered, and a random sample was taken from the genotypic array of the progeny produced by selfing a parental line <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi></mrow><mrow><mn>1</mn></mrow></msub><msub><mrow><mi>A</mi></mrow><mrow><mn>2</mn></mrow></msub><mo> </mo><mo>(</mo><mi>G</mi><mi>A</mi><mo>)</mo></mrow></semantics></math></inline-formula> This sample was visualized as a set of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>g</mi></mrow></semantics></math></inline-formula> groups of four plants whose genotypes are all four of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>A</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>e</mi></mrow></semantics></math></inline-formula> represented the number of plants that failed to form a group. …”
    Get full text
    Article
  19. 10039
  20. 10040

    Meta-Analysis of the Effect of Different Amounts of Cow Manure, Chemical (Nitrogen), and Biological Fertilizers on Some Quantitative and Qualitative Traits of Thyme (Thymus vulgari... by Havva Mahnoudi asl, Mahmoud Mokhtari, Reza Sadrabadi Haghighi, مهدی الهی ترشیزی

    Published 2025-09-01
    “…If there is heterogeneity between studies, the random effect model is used. I2index is one of the important indices in determining the degree of heterogeneity between studies.In general, the degree of heterogeneity in the I2index is determined in the following three ways: I2≤25% indicates low heterogeneity. 50 ≤I2≤ 75% indicates moderate heterogeneity; that is, half of the total variability among effect sizes is not due to sampling error and is due to heterogeneity between studies.and I2≥ 75% indicates high heterogeneity (Higgins & green, 2011)Among more than 60 domestic studies and 28 foreign studies. …”
    Get full text
    Article