Showing 2,801 - 2,820 results of 6,053 for search 'model composition (method OR methods)', query time: 0.30s Refine Results
  1. 2801

    Methodology for generating chorioallantoic membrane patient-derived xenograft (CAM-PDX) models of pleural mesothelioma and performing preclinical imaging for the translation of can... by Judy M Coulson, Joseph J Sacco, Michael Shackcloth, Alexander Haragan, Doris M Rassl, Harish Poptani, Anne Herrmann, Liam Shaw, Sarah Barnett, Jan Schulze

    Published 2025-05-01
    “…Here we describe methods to generate mesothelioma patient-derived xenografts on the CAM (CAM-PDX), and to subsequently assess these PDX nodules by preclinical imaging and histology. …”
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    Article
  2. 2802

    Methodology for generating chorioallantoic membrane patient-derived xenograft (CAM-PDX) models of pleural mesothelioma and performing preclinical imaging for the translation of can... by Judy M Coulson, Joseph J Sacco, Michael Shackcloth, Alexander Haragan, Doris M Rassl, Harish Poptani, Anne Herrmann, Liam Shaw, Sarah Barnett, Jan Schulze

    Published 2025-08-01
    “…Here we describe methods to generate mesothelioma patient-derived xenografts on the CAM (CAM-PDX), and to subsequently assess these PDX nodules by preclinical imaging and histology. …”
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    Article
  3. 2803
  4. 2804

    Meta-analysis of H. pylori and the gut microbiome interactions and clinical outcomes by Xiongjian Wu, Haiyan Zhu, Ying Hu, Lei Zhang, Lixing Huang

    Published 2025-08-01
    “…Random forest models were employed to predict the clinical outcomes based on microbiome and clinical data. …”
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    Article
  5. 2805

    Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

    Published 2025-03-01
    “…To address the limitations identified, future research endeavors could explore alternative model configurations, ensemble methods, or hybrid architectures that combine the strengths of different predictive models. …”
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    Article
  6. 2806

    Plant photosynthesis in basil (C3) and maize (C4) under different light conditions as basis of an AI-based model for PAM fluorescence/gas-exchange correlation by Isabell Pappert, Stefan Klir, Luca Jokic, Celine Ühlein, Khanh Tran Quoc, Ralf Kaldenhoff

    Published 2025-05-01
    “…Despite their physiological link, data from both methods do not always correlate. To systematically investigate this relationship, photosynthetic parameters were measured in maize (Zea mays, C4) and basil (Ocimum basilicum, C3) under different photon densities and spectral compositions. …”
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    Article
  7. 2807
  8. 2808

    Effects of the National Institutes of Health Stroke Scale and Modified Rankin Scale on Predictive Models of 30-Day Nonelective Readmission and Mortality After Ischemic Stroke: Coho... by Mai N Nguyen-Huynh, Janet Alexander, Zheng Zhu, Melissa Meighan, Gabriel Escobar

    Published 2025-05-01
    “…MethodsUsing a cohort of patients with ischemic stroke in a large multiethnic integrated health care system from June 15, 2018, to April 29, 2020, we tested 2 predictive models for a composite outcome (30-day nonelective readmission or death). …”
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    Article
  9. 2809

    Exploring Biases of Large Language Models in the Field of Mental Health: Comparative Questionnaire Study of the Effect of Gender and Sexual Orientation in Anorexia Nervosa and Buli... by Rebekka Schnepper, Noa Roemmel, Rainer Schaefert, Lena Lambrecht-Walzinger, Gunther Meinlschmidt

    Published 2025-03-01
    “…ResultsIn ChatGPT-4, the multilevel model with 360 observations indicated a significant association with gender for the RAND-36 mental composite summary (conditional means: 12.8 for male and 15.1 for female cases; 95% CI of the effect –6.15 to −0.35; PPPPPP ConclusionsLLM-generated mental HRQoL estimates for AN and BN case vignettes may be biased by gender, with male cases scoring lower despite no real-world evidence supporting this pattern. …”
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    Article
  10. 2810

    Critical Factors Governing the Frictional Coefficient in Mg Alloys—Learn From Machine Learning by Negar Bagherieh, Moslem Noori, Dongyang Li, Meisam Nouri

    Published 2025-05-01
    “…ABSTRACT Data‐driven methods are emerging as a promising approach in discovering the correlation between tribological properties, composition, and mechanical properties of engineering materials. …”
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    Article
  11. 2811
  12. 2812

    Deciphering the Oncogenic Landscape of Hepatocytes Through Integrated Single‐Nucleus and Bulk RNA‐Seq of Hepatocellular Carcinoma by Huanhou Su, Xuewen Zhou, Guanchuan Lin, Chaochao Luo, Wei Meng, Cui Lv, Yuting Chen, Zebin Wen, Xu Li, Yongzhang Wu, Changtai Xiao, Jian Yang, Jiameng Lu, Xingguang Luo, Yan Chen, Paul KH Tam, Chuanjiang Li, Haitao Sun, Xinghua Pan

    Published 2025-04-01
    “…These subtypes were strongly associated with patient prognosis, confirmed in TCGA‐LIHC and Fudan HCC cohorts through hepatocyte composition deconvolution. A quantile‐based scoring method is developed to integrate data from 29 public HCC datasets, creating a Quantile Distribution Model (QDM) with excellent diagnostic accuracy (Area Under the Curve, AUC = 0.968‐0.982). …”
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  13. 2813

    Environmental characteristics of thermal utilization of waste with external and internal supply of thermal energy by A. V. Demin, G. V. Demina

    Published 2023-01-01
    “…Identification of optimal regimes for autothermal and allothermic methods of gasification of plant biomass in terms of energy parameters of generator gases, as well as determination of environmental indicators during subsequent combustion of generator gases to obtain thermal energy.METHODS. …”
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  14. 2814

    Prompt Tuning Techniques for Chinese Idiom Recommendation by Shun-Ming Wang, I-Fang Su, Yu-Chi Chung

    Published 2025-01-01
    “…We also introduce an innovative dynamic candidate sampling strategy (DCSS) technique designed to mitigate the overfitting issues commonly encountered with prompt tuning methods on Chinese idiom datasets. Our experimental results demonstrate that prompt tuning combined with ensembling methods significantly improves model performance across multiple datasets. …”
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    Article
  15. 2815

    Comparison of different approaches in handling missing data in longitudinal multiple-item patient-reported outcomes: a simulation study by Minqian Yan, Lizhi Zhou, Chongye Zhao, Chen Shi, Chunquan Ou

    Published 2025-04-01
    “…The performances of eight methods were compared, including a mixed model for repeated measures (MMRM) with and without imputation at the item level, multiple imputation by chained equations (MICE) at the composite score and item levels, and three control-based pattern mixture models (PPMs) and the last observation carried forward (LOCF) imputation at the item level. …”
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  16. 2816
  17. 2817

    Experimental and computational investigation of tensile and flexural properties of polylactic acid filled with boron nitride nanoplatelets by Harishbabu Sundarasetty, Santosh Kumar Sahu

    Published 2025-04-01
    “…The integrated experimental analysis with the Finite Element Method (FEM) computational simulation employed a multiscale modelling approach used to evaluate the effects of BNNP fillers at varying weight fractions (i.e. 0.005% to 0.04%). …”
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    Article
  18. 2818

    Experimental and Computational Study on the Tensile and Flexural Properties of Polylactic Acid filled with Boron Nitride Nanoplatelets by Harishbabu Sundarasetty, Santosh Kumar Sahu

    Published 2025-03-01
    “…The integrated experimental analysis with the Finite Element Method (FEM) computational simulation employed a multiscale modelling approach used to evaluate the effects of BNNP fillers at varying weight fractions (i.e. 0.005% to 0.04%). …”
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    Article
  19. 2819
  20. 2820

    Corrosion characteristic of multi-ring shield tunnel containing rubber concrete invert-filling under direct stray current by Shuo Yu, Hao Jin, Liangjie Gu, Peng Gui

    Published 2025-06-01
    “…Stray current can cause corrosion of underground structural rebar, adding rubber particles to the invert-filling concrete is an effective prevent method to reduce stray current corrosion. In our research, the corrosion calculation model of multi-ring shield tunnel containing rubber concrete invert-filling was established, the coupling analysis of electric field and chemical field in composite structures was realized through mesoscale simulations, and the accuracy of calculation model was verified by full-scale test. …”
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    Article