Showing 3,121 - 3,140 results of 18,849 for search 'sample random sampling', query time: 0.21s Refine Results
  1. 3121

    Effects of an Animal-Assisted Drop-In Program on First-Year University Students’ Trajectory of Psychological Wellbeing by Alexa M. Carr, Patricia Pendry

    Published 2025-02-01
    “…While many universities offer animal visitation programs (AVPs), their effectiveness in supporting student wellbeing during this transition remains unclear. This randomized controlled trial evaluated psychological mood risk and resilience in a randomly selected sample of first-year university students (n = 145) separated from their childhood pets. (2) Participants were randomly assigned to receive access to a seven-session, biweekly 2 h drop-in program (n = 77) featuring unstructured interactions with therapy dogs or a waitlist control group (n = 68). …”
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  2. 3122

    Vibration, current, torque, RPM dataset for multiple fault conditions in industrial-scale electric motors under randomized speed and load variationsMendeley DataMendeley DataMendel... by Wonho Jung, Junho Kim, Kangmin Jang, Sung-Hyun Yun, Daeguen Lim, Minje Jin, Yong-Hwa Park

    Published 2025-10-01
    “…The dataset comprises over 60 GB of raw signals with current sampled at 100 kHz, vibration and torque at 25.6 kHz, and RPM at 100 kHz. …”
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  3. 3123

    Integrative multi-omics investigation of sleep apnea: gut microbiome metabolomics, proteomics and phenome-wide association study by Shuxu Wei, Ronghuai Shen, Xiaojia Lu, Xinyi Li, Lingbin He, Youti Zhang, Xianxi Huang, Zhouwu Shu

    Published 2025-06-01
    “…Methods Bidirectional Mendelian Randomization (MR) and Linkage Disequilibrium Score Regression (LDSC) were used to assess the genetic correlation and causal relationships between the gut microbiome and SA. …”
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  4. 3124

    Quality assessment of the preparation of reference materials of moist solid substances by S. V. Medvedevskikh, M. Yu. Medvedevskikh, M. P. Krasheninina

    Published 2019-08-01
    “…In this article considers the models of random parameter and random walk as alternative approaches for estimating the mean standard deviation associated with heterogeneity during both the evaluation of the metrological characteristics of reference materials, the quality control of samples prepared from moist solid substances.For the random parameter and random walk models, the behaviour of the basic statistical criteria is described, including the overall mean, standard deviation, standard deviation of the mean and function, obtained both for real experimental data and theoretical measurement results simulated according to the Monte Carlo method. …”
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    High-Resolution Spatiotemporal Forecasting with Missing Observations Including an Application to Daily Particulate Matter 2.5 Concentrations in Jakarta Province, Indonesia by I Gede Nyoman Mindra Jaya, Henk Folmer

    Published 2024-09-01
    “…The second stage involves creating a high-resolution map for the period 1–31 January 2023, for sampled and non-sampled spatiotemporal units. It uses the MSTS-generated PM<sub>2.5</sub> predictions for the sampled spatiotemporal units and observations of the covariate’s altitude, population density, and rainfall for sampled and non-samples spatiotemporal units. …”
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  8. 3128

    Network meta-analysis of integrated traditional Chinese and Western medicine in the treatment of Sjogren’s syndrome by Xieli Ma, Zixia Liu, Tian Chang, Chuanhui Yao, Yuchen Yang, Biyue Shang, Jiameng Liu, Congmin Xia, Xun Gong, Quan Jiang

    Published 2024-11-01
    “…Analyses were performed using Review Manager (version 5.4) and R-4.3.1.ResultsA total of 66 RCTs were included, with a sample size of 5,052, involving four kinds of TCM (total glucosides of paeony capsules, tripterygium glycosides tablet, Xinfeng capsule and Jinju Qingrun capsule) and three kinds of CWM(hydroxychloroquine sulfate, Iguratimod and glucocorticoid). …”
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  9. 3129

    Clinical research report on Chinese patent medicines and classic traditional Chinese medicine prescriptions (2023) by Xiaolei Wu, Haiyin Hu, Yuetong Wang, Alice Josephine Fauci, Yazi Zhang, Wenting Song, Fengwen Yang, Boli Zhang, Junhua Zhang, Zhaochen Ji

    Published 2025-06-01
    “…Objective: Randomized controlled trials (RCTs) of Chinese patent medicines and classic traditional Chinese medicine prescriptions were systematically reviewed from both Chinese and English journals published in 2023. …”
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  10. 3130

    Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM by DING Xiaofeng, ZHANG Yuhua

    Published 2023-01-01
    “…The experimental results show that this method with strong feature extraction and representation ability and as high as 99.79% recognition rate on average under different operating conditions is more robust in multi-operating conditions and small sample data sets, compared with other methods.…”
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  15. 3135

    Inflammatory factor CCL2 enhances the interaction between monocyte-macrophage cells and liver parenchymal cells to promote liver inflammation and fibrosis in biliary atresia by Xin Li, Shaowen Liu, Tengfei Li, Qianhui Yang, Yuqiang Chen, Yu Meng, Zhiru Wang, Yilin Zhao, Shujian Zhang, Liang Ge, Alimujiang Abudureyimu, Jianghua Zhan

    Published 2025-08-01
    “…Single-cell RNA sequencing (scRNA-seq), spatial transcriptomics (ST), and Mendelian randomization (MR) were integrated for analysis. The clinical data of the sequenced samples, GSE176189 and GSE122340, were used to verify the results. …”
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    Efectos de 32 semanas de un programa físico con balón sobre las cualidades físicas en niños rusos de entre 9 a 10 años. Estudio cuasiexperimental no aleatorizado (Effects of 32 wee... by Georgiy Polevoy, Héctor Fuentes-Barría, Raul Aguilera Eguia

    Published 2024-03-01
    “…Quasi-experimental, non-randomized study. The sample was made up of 60 schoolchildren aged 9 to 10 years belonging to school number 52 in the city of Kirov (Russia). …”
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    Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

    Published 2025-01-01
    “…Based on 73 measured samples, along with multispectral imagery and LiDAR data collected via unmanned aerial vehicles, machine learning techniques, including random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost), were employed to predict the SOC content of <italic>S. alterniflora</italic> and map its spatial distribution. …”
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