Showing 15,281 - 15,300 results of 16,799 for search '"Prediction', query time: 0.09s Refine Results
  1. 15281

    From block to shred: Understanding the factors influencing shreddability of mozzarella cheese by Gunvantsinh Rathod, Suresh Sutariya, Ram Kumar, Praveen Upreti, Prafulla Salunke, J.K. Amamcharla

    Published 2025-02-01
    “…Considering the high correlation of shreddability with other textural parameters, textural parameters can be used to predict shreddability of mozzarella cheese.…”
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  2. 15282

    Utilidad de la procalcitonina como biomarcador en cirugía cardiaca by Mario Castaño, Pasquale Maiorano, Laura Castillo, Blanca Meana, Belén Ramos, Elio Martín-Gutiérrez, Javier A. Gualis

    Published 2025-01-01
    “…This review presents the state of the art regarding the predictive value of procalcitonin as a clinical biomarker for the diagnosis and prognosis of infection in various clinical contexts and the current evidence of the usefulness of this biomarker in the diagnosis and prognosis of infectious and non-infectious complications in the cardiac postoperative period.…”
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  3. 15283

    Do We Need Exercise Tests to Detect Gas Exchange Impairment in Fibrotic Idiopathic Interstitial Pneumonias? by Benoit Wallaert, Lidwine Wemeau-Stervinou, Julia Salleron, Isabelle Tillie-Leblond, Thierry Perez

    Published 2012-01-01
    “…In patients with fibrotic idiopathic interstitial pneumonia (f-IIP), the diffusing capacity for carbon monoxide (DLCO) has been used to predict abnormal gas exchange in the lung. However, abnormal values for arterial blood gases during exercise are likely to be the most sensitive manifestations of lung disease. …”
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  4. 15284

    Relationship of Autophagic Dysfunction With the Quality of Life and Sleep, Depression and Disease Severity in Patients With Restless Legs Syndrome by Esen Çiçekli, Hamza Malik Okuyan, Canan Birimoğlu Okuyan, Şeyda Öznur Ayçiçek, Dilcan Kotan

    Published 2025-01-01
    “…The ROC curve analysis demonstrated that ATG3 expressions over 3146.5 ng/mL and ATG5 expressions over 4732.5 ng/mL may predict the presence of RLS (p < 0.01). Conclusion We report for the first time that autophagy may have a significant impact on the development of RLS.…”
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  5. 15285

    Determination of the Hydration Damage Instability Period in a Shale Borehole Wall and Its Application to a Fuling Shale Gas Reservoir in China by Haicheng She, Zaiqiang Hu, Zhan Qu, Yao Zhang, Hu Guo

    Published 2019-01-01
    “…In this study, the stratigraphic stress characteristics of the Fuling Shale Gas Field were initially predicted, and the shale sample phase composition and development of bedding and microcracks were analyzed using X-ray diffraction and scanning electronic microscopy. …”
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  6. 15286

    Causal linkage between adult height and kidney function: An integrated population-scale observational analysis and Mendelian randomization study. by Sehoon Park, Soojin Lee, Yaerim Kim, Yeonhee Lee, Min Woo Kang, Kwangsoo Kim, Yong Chul Kim, Seung Seok Han, Hajeong Lee, Jung Pyo Lee, Kwon Wook Joo, Chun Soo Lim, Yon Su Kim, Dong Ki Kim

    Published 2021-01-01
    “…Moreover, multivariable summary-level MR showed that a taller genetically predicted adult height was causally linked to a lower log-eGFRcreatinine (adjusted beta -0.007, standard error 0.001, P < 0.001) and a higher risk of CKDcreatinine (adjusted beta 0.083, standard error 0.019, P < 0.001). …”
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  7. 15287

    MythicVision: a deep learning powered mobile application for understanding Indian mythological deities using weight centric decision approach by Tauseef Khan, Aditya Nitin Patil, Aviral Singh, Gitesh Prashant Bhavsar, Kanakagiri Sujay Ashrith, Sachi Nandan Mohanty

    Published 2025-01-01
    “…In weight-centric decision mechanism, buckets of all possible classes of image object are updated by aggregating the corresponding model-weights if, the predicted class of the specific model matches any of the possible class. …”
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    Article
  8. 15288

    C3AR1 as a target for preeclampsia: from bioinformatics and network pharmacology to experimental validation by Yongfeng Hu, Shaoqiang Li, Yunhui Hong, Dongxian Peng

    Published 2025-01-01
    “…Expression validation was conducted through the Gene Expression Omnibus (GEO) database. Molecular docking predicted interactions between BPA, PFOS, and C3AR1. …”
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  9. 15289

    SNAP II and SNAPPE II as Predictors of Neonatal Mortality in a Pediatric Intensive Care Unit: Does Postnatal Age Play a Role? by Mirta Noemi Mesquita Ramirez, Laura Evangelina Godoy, Elizabeth Alvarez Barrientos

    Published 2014-01-01
    “…SNAP II and SNAPPE II showed moderate discrimination in predicting mortality. The results are not strong enough to establish the correlation between the score and the risk of mortality.…”
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  10. 15290

    Hypercysteinemia, A Potential Risk Factor for Central Obesity and Related Disorders in Azores, Portugal by Ana Lima, Rita Ferin, Mafalda Bourbon, José Baptista, M. Leonor Pavão

    Published 2019-01-01
    “…Moreover, plasma Cys levels predicted waist circumference (β coefficient = 0.102, P=0.032) and concomitant central obesity and were also associated with insulin resistance. …”
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  11. 15291

    Psychometric Validation of the Persian Version of Multidimensional Health Locus of Control Scale (MHLC-C) for Menopausal Women by Khadijeh Khademi, Mohammad Hossein Kaveh, Mahin Nazari, Abdolrahim Asadollahi

    Published 2024-01-01
    “…Reliability was further established through Cronbach’s alpha and McDonald’s Omega coefficients. The predictive relevance of the model and associations between constructs were analyzed using various statistical measures. …”
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  12. 15292

    Use of Minimal Residual Disease Status to Reduce Uncertainty in Estimating Long-term Survival Outcomes for Newly Diagnosed Multiple Myeloma Patients by Naomi van Hest, Peter Morten, Keith Stubbs, Nicola Trevor

    Published 2023-01-01
    “…**Discussion:** Alternative methods to estimate long-term survival outcomes, such as a response-based PSM, can reduce uncertainty in modeling predictions around cost-effectiveness estimates for health technology assessment bodies and payers, thereby supporting faster market access for novel therapies with immature survival data. …”
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    Article
  13. 15293

    Discovering broad-spectrum inhibitors for SARS-CoV-2 variants: a cheminformatics and biophysical approach targeting the main protease by Safar M. Alqahtani

    Published 2025-02-01
    “…Thus, these compounds are predicted as promising leads and can be subjected to further experimental studies for evaluation of their biological activities.…”
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  14. 15294

    Numerical Simulation Study of Fines Migration Impacts on an Early Water Drainage Period in Undersaturated Coal Seam Gas Reservoirs by Xiaolong Peng, Suyang Zhu, Zhenjiang You, Zhimin Du, Peng Deng, Chaowen Wang, Mingwei Wang

    Published 2019-01-01
    “…Hence, a robust modelling tool is required to include the mechanisms of fines migration and to predict their impacts on rock and production. In this paper, fines migration in coal is categorized into three stages: generation, migration, and deposition processes. …”
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  15. 15295

    Blood from septic patients with necrotising soft tissue infection treated with hyperbaric oxygen reveal different gene expression patterns compared to standard treatment by Julie Vinkel, Alfonso Buil, Ole Hyldegaard

    Published 2025-01-01
    “…Conclusion The global gene expression pattern in blood changed in response to HBO2 treatment in a direction associated with clinical biochemistry improvement, and the study provides potential novel biomarkers and pathways for monitoring HBO2 treatment effects and predicting an HBO2 responsive NSTI-sepsis profile. Trial registration Biological material was collected during the INFECT study, registered at ClinicalTrials.gov (NCT01790698) 04/02/2013.…”
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  16. 15296

    Integrative single-cell and multi-omics analyses reveal ferroptosis-associated gene expression and immune microenvironment heterogeneity in gastric cancer by Shupeng Zhang, Zhaojin Li, Gang Hu, Hekai Chen

    Published 2025-01-01
    “…In the gene selection and model validation section, critical genes were identified using machine learning algorithms, constructing a model with high predictive accuracy. Besides, distorted immune landscapes were further identified in RBL using ssGSEA analysis such that the complex association of gene expression features and its interaction networks as well as infiltration by various types of immune cells can be more clearly understood. …”
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  17. 15297

    Differences in health related quality of life among older migrants and nonmigrants in India by Vasim Ahamad, Ram B. Bhagat

    Published 2025-02-01
    “…However, this study predicts that migrants especially need separate health policies as they are in poorer health conditions than non-migrants. …”
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  18. 15298

    Downregulation of FXYD2 Is Associated with Poor Prognosis and Increased Regulatory T Cell Infiltration in Clear Cell Renal Cell Carcinoma by Zedan Zhang, Yanlin Tang, Lei Li, Wuping Yang, Yawei Xu, Jingcheng Zhou, Kaifang Ma, Kenan Zhang, Hongkai Zhuang, Yanqing Gong, Kan Gong

    Published 2022-01-01
    “…Kaplan-Meier survival analysis and Cox regression analysis suggested that downregulated FXYD2 could independently predict poor survival of ccRCC patients. Through the ESTIMATE algorithm, ssGSEA algorithm, CIBERSORT algorithm, TIMER database, and our laboratory experiment, FXYD2 was found to correlate with the immune landscape, especially regulatory T cells (Treg), in ccRCC. …”
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  19. 15299

    Effects of polyamines and indole on the expression of ribosome hibernation factors in <i>Escherichia coli</i> at the translational level by E. A. Khaova, A. G. Tkachenko

    Published 2024-03-01
    “…We have analyzed the mRNA primary structures of the studied genes and the predicted mRNA secondary structures obtained by using the RNAfold program for the availability of polyamine modulon features. …”
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  20. 15300

    Voice analysis and deep learning for detecting mental disorders in pregnant women: a cross-sectional study by Hikaru Ooba, Jota Maki, Hisashi Masuyama

    Published 2025-02-01
    “…The hyperparameters were optimized using Optuna, and an ensemble learning approach was used for the final predictions. The model’s performance was compared to that of the EPDS in terms of sensitivity, specificity, and other diagnostic metrics. …”
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    Article