Showing 1,421 - 1,440 results of 1,556 for search '(variable OR variables) model composition', query time: 0.17s Refine Results
  1. 1421

    The status of Saudi measures of deprivation: A review with policy recommendations on a missing indicator in Saudi epidemiologic research by Reem S. AlOmar

    Published 2025-07-01
    “…A composite index provides an overview of the ranking of deprivation and epidemiologically, provide parsimonious models rather than analyzing several separate variables. …”
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  2. 1422

    Prognostication in emergency room patients: comparing ultrasensitive and contemporary quantification of cardiac troponin levels below the 99th percentile by Anna Carrasquer, Anna Carrasquer, Anna Carrasquer, Germán Cediel, Germán Cediel, Germán Cediel, Alma Gómez-Sanz, Alma Gómez-Sanz, Óscar M. Peiró, Óscar M. Peiró, Óscar M. Peiró, Isabel Fort-Gallifa, Isabel Fort-Gallifa, Isabel Fort-Gallifa, Alfredo Bardaji, Alfredo Bardaji, Alfredo Bardaji, Jose Luis Ferreiro, Jose Luis Ferreiro, Jose Luis Ferreiro

    Published 2025-01-01
    “…Both Singulex cardiac troponin I (analysed by quartiles) and Siemens cardiac troponin (analysed as detectable/undetectable) improved the predictive efficacy for the combined event over clinical variables [Harrell's C-index (95% confidence interval): 0.77 (0.74–0.80) vs. 0.79 (0.76–0.81) and 0.77 (0.74–0.80) vs. 0.78 (0.75–0.81), respectively; p = 0.018]. …”
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  3. 1423
  4. 1424

    Metagenomic Comparison of Gut Microbes of <i>Lemur catta</i> in Captive and Semi-Free-Range Environments by Chunzhong Xu, Xinzi Guo, Lian Li

    Published 2025-05-01
    “…The inter-individual variability in the microbial community within the captive-bred (CB) group was lower than that in the semi-free-ranging (FR) group, yet these individuals harbored a higher abundance of potential pathogens (<i>Treponema_D</i>). …”
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  5. 1425

    CHEMICAL EQUILIBRIUM IN THE PROPIONIC ACID - ETHANOL - ETHYL PROPIONATE - WATER SYSTEM AND EXTRACTION PROCESSES WITH PARTICIPATION OF DEEP EUTECTIC SOLVENTS by M. A. Toikka, A. A. Samarov, A. A. Sadaev, A. A. Senina, O. L. Lobacheva

    Published 2019-02-01
    “…The surface of chemical equilibrium and the region of splitting chemically equilibrium compositions are represented in the square of the transformed concentration variables. …”
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  6. 1426

    Multiple mush generations provide insight into the longevity of open-conduit basaltic volcanoes by Beatrice Schiavon, Chiara M. Petrone, Francesca Forni, Alessio Pontesilli, Haiyang Hu, Piergiorgio Scarlato, Daniele Andronico, Elisabetta Del Bello, Manuela Nazzari, Silvio Mollo

    Published 2025-07-01
    “…The complex zoning patterns of plagioclase phenocrysts from 2003 to 2021 eruptions have been interrogated by combining in-situ Sr isotope compositions, thermometric modelling, and Mg diffusion chronometry. …”
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  7. 1427

    Prognostic significance of eosinophil-to-platelet ratio and C-reactive protein in predicting adverse events during acute exacerbations of chronic obstructive pulmonary disease: A c... by M Yogesh, D Kadalarasu, Naresh Makwana, Iva S. Chatterjee

    Published 2024-12-01
    “…Differences between groups were analysed using t-tests and regression modelling. Results EPR <0.755 and CRP ≥15.8 mg/dL were significant predictors of adverse events after adjustment, with EPR having an AUC of 0.79 and CRP an AUC of 0.68 for composite outcomes. …”
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  8. 1428

    Prediction of the long-term risk of adverse cardiovascular events after an episode of acute coronary syndrome in patients with type 2 diabetes by E. A. Nikitina, I. S. Meletev, O. V. Soloviev, E. N. Chicherina

    Published 2020-07-01
    “…In order to predict the development of CEP in patients with ACS and T2D, a logit model was created. To process the model, a ROC analysis was performed.Results. …”
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  9. 1429

    Investigating the relationship between thought interference, somatic passivity and outcomes in patients with psychosis: a natural language processing approach using a clinical reco... by Robert Stewart, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel, Thibault Thierry Magrangeas

    Published 2022-08-01
    “…Objectives We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes.Design Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis.Setting and participants From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020).Outcomes The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, &gt;2 antipsychotics prescribed, &gt;22 days spent in crisis care) over the subsequent 2 years.Results Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22).Conclusions Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.…”
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  10. 1430

    A Causal Inference Approach to Mediation Analysis in Vitreomacular Traction: How Much Does Traction Resolution Mediate Functional Outcomes? by Benedicte Lescrauwaet, Stijn Vansteelandt, Timothy L. Jackson, SriniVas R. Sadda, Luc Duchateau

    Published 2024-09-01
    “…Quantity of interest is the breakdown of TTE into an indirect (through VMAR) and direct effect to estimate the extent to which the TTE is transmitted through the mediating variable (VMAR) vs. other pathways. Causal effects are expressed as risk differences. …”
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  11. 1431
  12. 1432

    Living well with diabetes in Alaska by Meera L. Narayanan, Peter Holck, Ai-Ling Lin, Cynthia D. Schraer

    Published 2024-12-01
    “…We used records in a diabetes registry and clinical and demographic variables in our analyses. We used logistic regression and Cox Proportional Hazards models to evaluate associations of these parameters with death and complications that occurred prior to 2013. …”
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  13. 1433

    Moringa oleifera seed oils: Physico-chemical characterization and its authentication using FTIR spectroscopy and chemometrics by Irnawati, Abdul Rohman, Yamin, Nurrulhidayah Ahmad Fadzillah, Aida Azrina Azmi, Nurlatifah, Anjar Windarsih, Ratna Asmah Susidarti, Ruslin

    Published 2024-12-01
    “…The chemometrics of partial least square-discriminant analysis (PLS-DA) could classify of MOSO using fatty acid compositions as variable into two distinct groups using two discriminant components in which the first and second components could describe 62.5 % and 18.7 %, respectively. …”
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  14. 1434

    Interferon Gamma and Tumor Necrosis Factor Alpha Are Inflammatory Biomarkers for Major Adverse Cardiovascular Events in Patients with Peripheral Artery Disease by Ben Li, Eva Lindner, Raghad Abuhalimeh, Farah Shaikh, Houssam Younes, Batool Abuhalimeh, Abdelrahman Zamzam, Rawand Abdin, Mohammad Qadura

    Published 2025-06-01
    “…Cox proportional hazards regression was used to determine the independent association of each protein with MACE after adjusting for baseline demographic and clinical variables, including existing coronary and cerebrovascular disease. …”
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  15. 1435

    Advancements in natural remediation management techniques for oil spills: Challenges, innovations, and future directions by Komal Sharma, Garishma Shah, Hanwant Singh, Upma Bhatt, Khushbu Singhal, Vineet Soni

    Published 2024-10-01
    “…These challenges include the variability in oil composition, environmental conditions, and the availability of suitable microorganisms or plants for degradation. …”
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  16. 1436
  17. 1437

    Optimization of dark chocolate formulation with roasted coriander cake as cocoa substitute by Javad Cheragheshahi, Ali Mohamadi Sani, Elham Mahdian, Sharareh Mohseni, Zahra Nazari

    Published 2025-01-01
    “…According to the results, the fitted models illustrated a desirable coefficient of determination (≥90 %).The optimization of the variables indicated that using RCC 6.08 g, Sugar 14.68 g, and Cocoa 12.23 g produced the optimized RCC chocolate with the highest desirability while maintaining the quality characteristics without undesirable changes. …”
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  18. 1438

    Temperature Control for a Proton-Exchange Membrane Fuel Cell System with Unknown Dynamic Compensations by Yashan Xing, Ramon Costa-Castelló, Jing Na

    Published 2020-01-01
    “…Moreover, there are unknown modelling errors, external disturbance and noise during modelling and experiment processes for fuel cells. …”
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  19. 1439

    Effectiveness of biofilm-targeted therapy in managing and preventing dental caries: protocol for a systematic review and meta-analysis by Venkata Suresh Venkataiah, Mohmed Isaqali Karobari

    Published 2025-08-01
    “…Discussion This review anticipates providing evidence on the efficacy of BTT in reducing bacterial load, altering biofilm composition, and preventing caries progression. Variability in study design and outcome measures is expected, underscoring the need for standardized methodologies and more robust clinical trials. …”
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  20. 1440

    Dietary Niche Variation in an Invasive Omnivore: The Effects of Habitat on Feral Pig Resource Use in Hawai‘i by Michael S. Peyton, Kealohanuiopuna M. Kinney, Sarah Knox, Grace Tredennick, Sara Hotchkiss

    Published 2024-10-01
    “…We also reconstructed intra‐individual variability for six subsampled individuals to understand temporal variation in resource use and individual diet specialization. …”
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