Showing 15,921 - 15,940 results of 16,799 for search '"Prediction', query time: 0.10s Refine Results
  1. 15921

    Mid-term to long-term outcome and risk factors for failure of 158 hips with two-stage revision for periprosthetic hip joint infection by M. Abuelnour, C. McNamee, A. B. Rafi, W. Hohlbein, W. Hohlbein, P. Keogh, J. Cashman

    Published 2025-02-01
    “…Duration of antibiotics and gram-negative infection were the only predictive risk factors for re-infection. <strong>Conclusion</strong>: Our results of the two-stage revision protocol for hip PJI were satisfactory and comparable with the best reported outcomes.…”
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  2. 15922

    Effect of galectin-3 and brain natriuretic peptide levels on echocardiographic parameters of left heart chamber following coronary artery bypass grafting by Yulia A. Styazhkina, Irina F. Grishina, Nina B. Poletaeva, Tatyana F. Peretolchina, Olga V. Nikolaenko

    Published 2024-12-01
    “…AIM: To assess the diagnostic value of left heart chamber remodeling, non–conventional markers NT-proBNP and galectin-3 in predicting the risk of prolonged recovery in patients with CAD following CABG. …”
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  3. 15923

    Sistem Deteksi Dini Penyakit Preeklampsia Melalui Perubahan Warna Urine Berdasarkan Protein dengan Menggunakan Metode Naïve Bayes Classifier by Fakhrul Allaam, Barlian Henryranu Prasetio, Rizal Maulana

    Published 2023-08-01
    “…This method is used because it provides easy implementation and fast computation so that real-time predictions can be made. …”
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  4. 15924

    Global, regional, and national burden of early-onset colorectal cancer from 1990 to 2021: a systematic analysis based on the global burden of disease study 2021 by Yang Meng, Zongbiao Tan, Junhai Zhen, Di Xiao, Liwei Cai, Weiguo Dong, Changzheng Chen

    Published 2025-01-01
    “…In addition, we constructed a Bayesian age-period-cohort model to predict the burden of EOCRC worldwide from 2022 to 2030. …”
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  5. 15925
  6. 15926

    Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

    Published 2024-07-01
    “…The probability of high rainfall is identified to calculate water infrastructure resilience and set appropriate standards for rainy, flood-prone areas. LSTM predictions are evaluated using Mean Square Error (best 19.11) and Root Mean Square Error (best 4.37) before conducting long-term forecasting. …”
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  7. 15927

    Gyrfalcon Prey Abundance and Their Habitat Associations in a Changing Arctic by Michaela Gustafson, Jennifer D. McCabe, Brian W. Rolek, Travis L. Booms, Michael T. Henderson, Leah Dunn, David L. Anderson, Jennyffer Cruz

    Published 2025-01-01
    “…Understanding how species' abundances and distributions differ among Arctic habitats is important in predicting future species shifts and trophic‐web consequences. …”
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    Article
  8. 15928

    Identification of novel PfEMP1 variants containing domain cassettes 11, 15 and 8 that mediate the Plasmodium falciparum virulence-associated rosetting phenotype. by Florence E McLean, Brian R Omondi, Nouhoum Diallo, Stanley Otoboh, Carolyne Kifude, Abdirahman I Abdi, Rivka Lim, Thomas D Otto, Ashfaq Ghumra, J Alexandra Rowe

    Published 2025-01-01
    “…Two of these were of the predicted DC11 type (one showing the dual rosetting/IgM-Fc-binding phenotype), whereas two contained DC15 (DBLα1.2-CIDRα1.5b) a PfEMP1 type not previously associated with rosetting. …”
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    Article
  9. 15929

    SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

    Published 2024-01-01
    “…Existing deep learning-based methods, particularly those relying on triple-branch architectures, often struggle to accurately localize and predict changes in complex spatial environments characterized by diverse land-cover types. …”
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  10. 15930

    An Experimental Investigation on the Relationship between MS Frequency Response and Coal and Gas Outburst by Quanjie Zhu, Qingsong Li, Yu Feng, Xianwei Heng, Shaoquan Li, Tao Yang

    Published 2018-01-01
    “…The methodology presented in this paper for CGOB signal analysis provides a new method to obtain MS response precursor and predict CGOB disaster. This approach can be useful for rockburst anticipation and control during mining in gas and highly stressed coal mines.…”
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  11. 15931

    Zingiber striolatum phytochemicals ameliorated hyperglycemia symptoms by modulating gut microbial communities in mice with type 2 diabetes mellitus by Tingting Liu, Xiaodong Ge, Lu Song, Huanhuan Wu, Xue Qian, Bowen Jia, Chao Zhao, Yi Zhuang

    Published 2025-01-01
    “…Additionally, ZSE-H demonstrated superior efficacy over low-dose (ZSE-L) in improving FBG, AUC of OGTT, and other hypoglycemic parameters. Predictive analysis of the correlation between gut microbiota and hypoglycemic parameters identified Dubosiella, Bacillus, and Mailhella as potential microbial biomarkers for further investigation into the pathogenesis of T2DM.ConclusionZSE plays a pivotal role in mitigating hyperglycemia in T2DM mice through the modulation of intestinal microbiota communities.…”
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  12. 15932

    Biofabrication of zinc oxide nanoparticles using Moringa oleifera, characterization and statistical optimization for their application in crystal violet adsorption by Meshayil M. Alsolmi, Noura El-Ahmady El-Naggar, Mashael I. Alqurashi, Ragaa A. Hamouda

    Published 2025-01-01
    “…The maximum percentage value of removal of crystal violet by Mo/ZnO-NPs was 97.26 with optimal conditions of pH 9, incubation time 120 min, Mo/ZnO-NPs 1.4 mg/mL, and crystal violet concentration of 50 ppm. The best-predicted conditions that caused the highest removal of crystal violet (97.8%) were determined using the desirability function as pH 10, incubation time of 140 min, Mo/ZnO-NPs concentrations of 1.3 mg/mL, and a concentration of crystal violet of 80 ppm. …”
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  13. 15933

    The influence of baseline platelet on mortality risk in stroke and cancer patients: a cross-sectional analysis of the NHANES database by Yuqi Pei, Wei Ouyang, Peiyun Qi, Zhongjie Yan, Yaoru Li, Xiangjian Zhang, Cong Zhang, Lili Cui

    Published 2025-01-01
    “…Time-dependent receiver operating characteristic (ROC) analysis was conducted to assess the accuracy of platelet count in predicting mortality. Results Forty-three (43/113, 38.05%) stroke patients with cancer were alive at a median follow-up of 42 months (interquartile range, 23–74 months). …”
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  14. 15934

    Mass gatherings in Italy: a study from the 2015 Milan Expo by Pietro Marino, Enzo Albergoni, Aida Andreassi, Gianluca Chiodini, Lucia Colombi, Cristina Corbetta, Gabriella Nucera, Marco Salmoiraghi, Alberto Zoli

    Published 2016-07-01
    “…Existing risk-assessment processes for MGs were used (the Arbon Predictive Score and Maurer Score) to define the expected resources and the impact on the health systems. …”
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  15. 15935

    Evaluation of Knowledge and Practice of Pharmacy Professionals regarding the Risk of Medication Use during Pregnancy in Dessie Town, Northeast Ethiopia: A Cross-Sectional Study by Abdu Tuha, Yilak Gurbie, Haftom Gebregergs Hailu

    Published 2019-01-01
    “…The developing organism is unique in its responsiveness to drugs and predictability of therapeutic effectiveness based on the adult which can lead to grave consequences in the neonate and child. …”
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  16. 15936

    Best organic farming expansion scenarios for pest control: a modeling approach by Delattre, Thomas, Memah, Mohamed-Mahmoud, Franck, Pierre, Valsesia, Pierre, Lavigne, Claire

    Published 2023-03-01
    “…The effect of OF expansion on pest densities in organic and conventional crops remains difficult to predict because OF expansion impacts Conservation Biological Control (CBC), which depends on the surrounding landscape (i.e. both the crop mosaic and semi-natural habitats). …”
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  17. 15937
  18. 15938

    Regional Medical Campuses in Canada by Aaron Johnston, Amanda Bell, Kristy Penner, Trushar Patel, Grace Perez

    Published 2024-12-01
    “…Proposed RMCs may be able to use this data to predict both challenges and opportunities, as well as to identify existing RMCs with similar profiles, where information exchange may be of highest value. …”
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  19. 15939
  20. 15940

    Determination of Modelling Error Statistics for Cold-Formed Steel Columns by R. P. Rokade, K. Balaji Rao, B. Palani

    Published 2020-01-01
    “…Studies on statistical analysis of ME suggest that the compression capacity predicting models for flexural-torsional buckling mode are associated with large variation irrespective of the design standard. …”
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