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  1. 1641

    The Canine Erythrocyte Sedimentation Rate (ESR): Evaluation of a Point-of-Care Testing Device (MINIPET DIESSE) by Carlo Militello, Anna Pasquini, Anyela Andrea Medina Valentin, Petra Simčič, Giulia De Feo, George Lubas

    Published 2020-01-01
    “…The analytical sensitivity (Se), specificity (Sp), positive predictive values (PPVs), and negative predictive values (NPVs) were calculated. …”
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    Article
  2. 1642

    Florida's Citrus Canker Eradication Program (CCEP): Benefit-Cost Analysis by Marisa L. Zansler, Thomas H. Spreen, Ronald P. Muraro

    Published 2005-04-01
    “…A benefit-cost analysis of the CCEP in Florida is developed using the predicted values of the benefits and the costs associated with the policy. …”
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    Article
  3. 1643

    THE PREDICTION OF ENTERPRISES ACTIVITY INDICATORS TAKING INTO ACCOUNT THE INITIAL DATA UNCERTAINTY by Yu. Gagarin, S. Gagarina

    Published 2019-03-01
    “…The sales volume simulating for different values of time intervals has been conducted and the influence of the initial information error on the model parameter values and predicted values has been analyzed.…”
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    Article
  4. 1644

    A Stochastic Approach to Energy Cost Minimization in Smart-Grid-Enabled Data Center Network by Abolfazl Ghassemi, Pejman Goudarzi, Mohammad R. Mirsarraf, T. Aaron Gulliver

    Published 2019-01-01
    “…These results illustrate significant operational/energy cost reductions for a data center network over the conventional approach which optimizes the predicted values of stochastic parameters under a fixed QoS constraint.…”
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    Article
  5. 1645

    Florida's Citrus Canker Eradication Program (CCEP): Benefit-Cost Analysis by Marisa L. Zansler, Thomas H. Spreen, Ronald P. Muraro

    Published 2005-04-01
    “…A benefit-cost analysis of the CCEP in Florida is developed using the predicted values of the benefits and the costs associated with the policy. …”
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    Article
  6. 1646

    Evaluation value of serum SP⁃D,CCL25 and pulmonary vascular resistance index on the degree of lung injury and prognosis in traumatic wet lung by LIU Yajian,HU Zhuosi,CAO Xuexia,ZHAO Lianlian,LIU Junjuan,QIN Yanjun

    Published 2025-08-01
    “…Conclusion PVRI,serum SP⁃D,and CCL25 are significantly associated with the severity of lung injury in severe chest trauma complicated with TWL and hold high predictive values for both lung injury severity and prognosis. …”
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    Article
  7. 1647

    PO57 | Direct oral anticoagulant determination in urine samples compared to plasma concentrations in outpatients with atrial fibrillation and obesity

    Published 2025-08-01
    “…The aim of the present study was to evaluate the sensitivity, specificity, positive and negative predictive values (PPV and NPV) of testing for DOACs from urine samples of obese patients taking DOACs for AF. …”
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    Article
  8. 1648

    Validating adverse events in administrative healthcare data in ireland: a retrospective chart review study by Anna Connolly, Maria Unbeck, Fiachra Bane, Kasia Bail, Margaret Craig, Anne Matthews, Anthony Staines, Marcia Kirwan

    Published 2025-08-01
    “…Compared with chart review data, the overall sensitivity of the administrative data was low, and the specificity was high. The positive predictive values varied, and the negative predictive values were generally high. …”
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    Article
  9. 1649

    Bioethanol production from water hyacinth with isolated thermophilic microbial consortium from Kenya by Deffar, Selamawit Shiferaw, Kumar, Anil, Muliwa, Anthony, Pili, Njira Njira, Omara, Timothy

    Published 2024-02-01
    “…In the experimental run, 7.7 g/L of ethanol was produced, which is close to the predicted value.…”
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  10. 1650

    MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern by Q. He, Y. J. Zheng, C.L. Zhang, H. Y. Wang

    Published 2020-01-01
    “…The threshold selection part uses the root mean square error between the predicted value and the actual value to perform extreme value analysis to obtain the threshold. …”
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    Article
  11. 1651

    Investigations on Binding Pattern of Kinase Inhibitors with PPARγ: Molecular Docking, Molecular Dynamic Simulations, and Free Energy Calculation Studies by Mohit Mazumder, Prija Ponnan, Umashankar Das, Samudrala Gourinath, Haseeb Ahmad Khan, Jian Yang, Meena Kishore Sakharkar

    Published 2017-01-01
    “…The docked conformations and MDS studies suggest that the selected KIs interact with PPARγ in the ligand binding domain (LBD) with high positive predictive values. Hence, we have for the first time shown the plausible binding of KIs in the PPARγ ligand binding site. …”
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    Article
  12. 1652

    Modeling and Designing Acoustical Conditions of the Interior – Case Study by Bożena KOSTEK, Sebastian LASKOWSKI, Karolina MIZGIER

    Published 2016-03-01
    “…Then, the comparison between measured and predicted values using the ODEON program is shown. Collected data indicate a long reverberation time which results in poor speech intelligibility. …”
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  13. 1653

    The Degradation Process Modeling and Shelf Life Prediction of Drug by ZHOU Zhen, LI Han-bin, QI Jia, MA De-zhong

    Published 2019-02-01
    “…To solve the problem of individual difference in the same batch cannot be considered during the traditional degradation process modeling, an effective method is proposed to fuse priori degenerate data with site degraded data which can predict shelf life for the monolithic drug and new drugs Determining the distribution of model parameters based on prior information, fusion of field data to update parameters by Bayes On this basis, predict the shelf life of the monolithic drug The results show that the No5 loaded and bottled drugs’ shelf life predicted values are 4395 and 4747 weeks The relative errors are 0043 and 0051 And the feasibility of fusing degradation data to predict the shelf life of the monolithic drug and new drugs is verified…”
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  14. 1654

    A Warning Method of Traction Motor Filter Clogging Based onRecurrent Neural Network by ZHANG Shiqiang, DAI Jisheng, XU Hailong, ZHAN Yanhao

    Published 2021-01-01
    “…By this method, motor temperature is predicted in real time based on the existing data of train, and motor filter clogging warning is realized according to the residual relationship between predicted values and actual values. Application results of a subway operation vehicle show that this method can accurately warn the clogging problem of motor filter, guide precise maintenance, and effectively promote the process of state maintenance.…”
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  15. 1655

    Mothers and fathers do not accurately report each other’s psychopathology by Sharon K. Hunter, Kate Hanna, Gary O. Zerbe, Randal G. Ross

    Published 2012-07-01
    “…For fathers who did participate, maternal report did not match direct interview of paternal psychopathology with sensitivities less than 0.40 and positive predictive values of 0.33 to 0.74. Psychopathology may be over-represented among fathers who do not participate in research. …”
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  16. 1656

    Comparative of metagenomic and targeted next-generation sequencing in lower respiratory tract fungal infections by Zhiyang Chen, Zhiyang Chen, Zhiyang Chen, Xin Liu, Xin Liu, Xin Liu, Li Tan, Li Tan, Li Tan, Xing Lyu, Xing Lyu, Xing Lyu, Qichen Long, Qichen Long, Qichen Long, Weimin Wu, Weimin Wu, Weimin Wu, Zhe Guo, Zhe Guo, Zhe Guo, Zhenni Liu, Zhenni Liu, Zhenni Liu, Ziyang Li, Ziyang Li, Ziyang Li, Min Hu, Min Hu, Min Hu

    Published 2025-05-01
    “…They also demonstrated positive predictive values (PPVs) of 92.1% and 87.9% and negative predictive values (NPVs) of 94.2% and 93.9%, respectively, in diagnosing IPFI. …”
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  17. 1657
  18. 1658
  19. 1659

    Comparision of Kernel Functions in Geographically Weighted Regression Model: Suicide Data as an Application by Tuba Koç, Pelin Akın

    Published 2021-12-01
    “…In addition, the 2019 suicide numbers and predicted values were mapped, and the results were found to be quite similar. …”
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  20. 1660

    MyBotS Prototype on Social Media Discord with NLP by Imam Al Maksur, Muhammad Muhajir

    Published 2021-03-01
    “…The test data and accuracy values prediction are the largest Liniear Kernel SVM with accuracy and error prediction values of 94% and 6%.…”
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