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  1. 1281

    The Influence of Working in Stone Crushing Factories on Specific Respiratory Parameters by Belal Rahhal, Raya Sinnokrot, Omar Abuzant, Samah Shahin, Amany Masalmeh, Wala Jarrar

    Published 2014-09-01
    “…The results were compared to the mean of the measured predictive values. It is concluded that working in stone-cutting factories influences the respiratory function in a negative way, and so necessitates urgent intervention to prevent health complications.…”
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    Article
  2. 1282

    Long-Term Exposure to Primary Traffic Pollutants and Lung Function in Children: Cross-Sectional Study and Meta-Analysis. by Francesco Barone-Adesi, Jennifer E Dent, David Dajnak, Sean Beevers, H Ross Anderson, Frank J Kelly, Derek G Cook, Peter H Whincup

    Published 2015-01-01
    “…We combined results from the meta-analysis with the distribution of the values of FEV1 in CHASE to estimate the prevalence of children with abnormal lung function (FEV1<80% of predicted value) expected under different scenarios of NO2 exposure. …”
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  3. 1283

    Leak detection characteristics of point and line sensors for foundational data in smart safety management systems by Hyeon-Ki Lee, Tae-Woong Park, Hyeong-Soo Kim, Hyeong-Joo Kim

    Published 2025-08-01
    “…Both measured and predicted values confirmed that the minimum detectable concentrations were at least 0.2 % for point sensors and at least 0.4 % for line sensors. …”
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  4. 1284

    FORECASTING THE GROUNDWATER LEVEL OF CEMENT RAW MATERIALS DEPOSIT BASED ON DYNAMIC NEIGHBORHOOD MODELS by I. A. Sedykh

    Published 2018-09-01
    “…The work objectives are the identification  and  study of a  dynamic  neighborhood  model with variable hierarchical neighborhoods of the groundwater level that enables to adequately predict value of the water level in the examined wells.Materials and Methods. …”
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  5. 1285

    Evaluation of Diagnostic Value in Using a Panel of Multiple Tumor-Associated Antigens for Immunodiagnosis of Cancer by Peng Wang, Chunhua Song, Weihong Xie, Hua Ye, Kaijuan Wang, Liping Dai, Yi Zhang, Jianying Zhang

    Published 2014-01-01
    “…In different types of cancer, the ranges of positive and negative likelihood ratio were 4.07–4.76 and 0.39–0.51, respectively, and the ranges of positive and negative predictive values were 74.2–88.7% and 58.8–75.8%, respectively. …”
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  6. 1286

    A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

    Published 2024-12-01
    “…Furthermore, SA-Fit introduces explicit functions with a lasso penalty to fit variations in high-dimensional meteorological data, achieving the prediction of a large amount of data with minimal prediction values. We performed experiments using the ERA5 dataset from the Shanghai and Xi’an regions. …”
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  7. 1287

    PD-L1 on Circulating Tumor Cells Indicates Poor Prognosis in Breast Cancer by Xue-fei Wang, Guo-chao Zhang, Sha-fei Wu, Jia-xin Li, Qiang Sun

    Published 2022-11-01
    “…Besides, the best cell type for determining the prognostic and predictive values of PD-L1 has not been established. This study investigated associations between PD-L1 on tumor cells (TCs), CTCs, and tumor-infiltrating immune cells (TIICs), respectively, and prognosis and clinicopathological features in breast cancer. …”
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  8. 1288

    Optimization of Enzymatic Hydrolysis Process and Characterization of ACE Inhibitory Peptide from Squid Skin by Zhe ZHANG, Lingyun MA, Fanfan SHANG, Yihui LIU, Qingchao XIE, Yong ZHAO

    Published 2025-09-01
    “…Under these parameters, the ACE inhibitory rate of the hydrolyzed squid skin product reached 88.22%±1.28%, closely with the predicted value. The IC50 for the ACE inhibitory rate of the squid skin peptides was calculated to be 2.839 mg/mL, with a molecular weight distribution predominantly below 3 kDa, accounting for 93.68% of the total. …”
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  9. 1289

    Comparative assessment of sarcopenia screening tools for patients with bone tumors: insights for enhanced clinical application by Jun Yu, Jun Yu, Qiongyao Guan, Yanyu Chen, Lan Zhou, Jian Chen, Yingchun Zeng

    Published 2025-08-01
    “…Positive and negative predictive values were moderate across tools, with combined screening methods generally improving sensitivity. …”
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  10. 1290

    Quantitative Analysis of Structural Parameters Importance of Helical Temperature Microfiber Sensor by Artificial Neural Network by Juan Liu, Minghui Chen, Hang Yu, Jinjin Han, Hongyi Jia, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

    Published 2021-01-01
    “…Compared with the actual values, the root-mean-square error (RMSE) and the correlation coefficient of the predicted values are 9.7 <inline-formula> <tex-math notation="LaTeX">$\times \,\,10^{-3}$ </tex-math></inline-formula> dB and 99.84&#x0025;, respectively. …”
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  11. 1291

    Dynamic Heart Rate Variability Vector and Premature Ventricular Contractions Patterns in Adult Hemodialysis Patients: A 48 h Risk Exploration by Gabriel Vega-Martínez, Francisco José Ramos-Becerril, Josefina Gutiérrez-Martínez, Arturo Vera-Hernández, Carlos Alvarado-Serrano, Lorenzo Leija-Salas

    Published 2025-05-01
    “…R-wave and PVC identification resulted in 97.53% and 85.83% positive predictive values, respectively. PVCs’ prevalence and HRV changes’ relationship in 48 h records could relate to cardiovascular risk. …”
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  12. 1292

    Cosmiatry: An analysis of the Brazilian market by Bartolomeu Antonio Nascimento, Flávio José Teixeira Rocha Ataíde da Motta, Fernanda Augusta Siqueira-Campos Ferreira da Silva, Fábio Dias-Neves, Guilherme Torreão, Rafael Anlicoara

    Published 2024-01-01
    “…Searches on Google Maps® were conducted using key terms, and telephone interviews were conducted to obtain information on professional categories, types of providers, and services offered. Positive predictive values were obtained for all search strategies and used to estimate the total number of providers. …”
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  13. 1293

    Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry by Mohd Yusop Nurida, Dolmat Norfadilah, Mohd Rozaiddin Siti Aishah, Chan Zhe Phak, Syafiqa M. Saleh

    Published 2020-01-01
    “…The statistical evaluation of the validation samples also confirmed that the difference between the actual value and the predicted value from the calibration model was not significantly different and acceptable. …”
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  14. 1294

    QCI-WSC: Estimation and prediction of QoS confidence interval for web service composition based on Bootstrap by Li Qinying, Lu Wei, Li Fangli, Wang Taotao, Wang Hao

    Published 2025-07-01
    “…Finally, the results of user-invoked web service composition QoS are verified by the average interval coverage rate, compared to the actual QoS values and prediction values of the other methods, such as adaptive QoS prediction method based on collaborative filtering (QACF) and QoS-Aware web service recommendation (WSRec). …”
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  15. 1295

    Flow Accelerated Corrosion Prediction in High Pressure Economizer of a Heat Recovery Steam Generator by Phuris Khunphakdee, Kiattikhoon Phuakpunk, Benjapon Chalermsinsuwan

    Published 2025-10-01
    “…Predicted rates and measured rates agreed, although some predicted values were overestimated. The distributions of predicted FAC rates matched the tubes thickness distributions. …”
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  16. 1296
  17. 1297
  18. 1298

    The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

    Published 2017-09-01
    “…Hypotheses were tested on a survey sample of early entrepreneurs from seven transitional economies, including Russia. The predictive values of the final models proved to be effective in predicting start-ups’ financial strategies and in comparing the probability of early entrepreneurs borrowing capital. …”
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  19. 1299

    Suggested New Statistical Parameter for Estimating Joint Roughness Coefficient considering the Shear Direction by Zhiqiang Zhang, Jiuyang Huan, Ning Li, Mingming He

    Published 2021-01-01
    “…The deviation between the predicted value calculated by Sa and the true value was smaller than that obtained from the existing statistical parameters. …”
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  20. 1300

    Diagnostic accuracy evaluation of a point-of-care antigen test for SARS-CoV-2 and influenza in UK primary care (RAPTOR-C19). by Thomas R Fanshawe, Sharon Tonner, Philip J Turner, Margaret Głogowska, Umasha Ukwatte, Cecilia Okusi, Jade Cogdale, Maria Zambon, Brian D Nicholson, F D Richard Hobbs, Gail N Hayward, RAPTOR-C19 Study Group

    Published 2025-01-01
    “…<h4>Primary and secondary outcome measures</h4>Sensitivity, specificity and predictive values, compared to a laboratory reference standard of real-time reverse transcription PCR, using samples collected using a combined nasal and oropharyngeal swab.…”
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