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  1. 1161

    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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  2. 1162

    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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  3. 1163

    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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  4. 1164

    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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  5. 1165

    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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  6. 1166

    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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  7. 1167

    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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  8. 1168

    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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  9. 1169

    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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  10. 1170

    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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  11. 1171

    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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  12. 1172

    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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  13. 1173
  14. 1174
  15. 1175

    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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  16. 1176

    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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  17. 1177

    A therapeutic approach to atopic eczema by Paul C. Potter

    Published 2010-08-01
    “…True sensitivity to foods is best confirmed by a controlled food challenge, and cut off values have been published which indicate the predictive values of blood or skin tests for true food sensitivity to guide the clinician. …”
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  18. 1178

    The Measurements of Thermophoretic Deposition of Aerosol Particles in the Continuum and Slip Flow Regions by Fahmy M. Hussein, Mohamed S. El-Shobokshy

    Published 1989-01-01
    “…The comparison between the directly measured particle flux and the predicted values showed good agreement. This result validates the thermophoresis theoretical expressions which have been proposed for both flow regimes involved in the present investigation.…”
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  19. 1179

    The diagnosis of delirium in 80 emergency unit patients by AFONSO CARLOS NEVES, RICARDO DE CASTRO CINTRA SESSO, HENRIQUE BALLALAI FERRAZ, SÍLVIO FRANCISCO, JOÃO BAPTISTA DOS REIS-FILHO

    Published 1998-06-01
    “…Sensitivity, specificity, positive predictive and negative predictive values had results showing different conditions for initial diagnosis in each group. …”
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  20. 1180

    Evaluation of conventional molecular diagnosis of Mycobacterium tuberculosis in clinical specimens from Morocco by Fathiah Zakham, Halima Bazoui, Mohammed Akrim, Sanae Lemrabet, Ouafae Lahlou, Mohamed Elmzibri, Abdelaziz Benjouad, My Mustapha Ennaji, Rajae Elaouad

    Published 2011-11-01
    “…Results: The sensitivity of PCR was 81.13%, with specificity of 88.24%; the positive and negative predictive values were 95.56% and 60%, respectively. Conclusion: Based on these results, the hsp65 gene sequence can be used to differentiate the members of MTB complex from non-tuberculosis mycobacteria (NTM). …”
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