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  1. 2841

    Diferencial de gasto hospitalario en salud mental entre Cataluña y la OCDE: una estimación agregada by Roger Sabater-Mezquita, Guillem Lopez-Casasnovas, Roberto Martinez-Lacoba, Glòria Merino-Pinto

    Published 2025-01-01
    “…Results indicate that Catalonia's expenditure was 44.72% below the predicted value for the sample of OECD comparable countries, corresponding to a funding shortfall of approximately €242 million. …”
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  2. 2842

    Traditional ecological knowledge for great ape conservation in Gabon by Mohamed H. Mohamed-Djawad, Neil M. Longo-Pendy, Serge Ely Dibakou, Costanza Puppo, Jean Nzue-Nguema, Désiré Otsaghe-Ekore, Patrice Makouloutou-Nzassi, Cyr Moussadji-Kinga, Alain P. Kouga, Barthelemy Ngoubangoye, Pape Ibnou Ndiaye, Larson Boundenga

    Published 2025-06-01
    “…Agreement between Indigenous and molecular identifications was summarised in a confusion matrix; accuracy, sensitivity, specificity, predictive values and Cohen’s κ were calculated. The prevalence of each empirical criterion was expressed as the proportion of interviewees citing it, and species differences were tested with Fisher’s exact tests (α = 0.05). …”
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  3. 2843

    Validation of urinary biomarkers for accurate diagnosis of urinary tract infections in older adults across primary care, hospitals and long-term care facilities in the Netherlands... by Simon P Mooijaart, Simon P Conroy, Abimbola A Akintola, Wilco P Achterberg, Janneke E Stalenhoef, Cees van Nieuwkoop, Jelle J Goeman, Christa M Cobbaert, Paul L A M Corstjens, Martijn Sijbom, Martha T van der Beek, Leo G Visser, Nora El Moussaoui, Esther van Andel, Jessica A Vlot, Manu P Bilsen, Fanny N Lauw, Nathalie M Delfos, Eliane M S Leyten, Janneke I M van Uhm, Merel M C Lambregts

    Published 2025-06-01
    “…Diagnostic accuracy measures will be calculated using the receiver operating characteristic curves, and sensitivity, specificity, likelihood ratios and predictive values will be reported for optimal cut-offs.Ethics and dissemination The protocol was reviewed by the local Leiden University Medical Center research committee, who declared on 15 April 2024 that the medical research involving human subject act (Dutch abbreviation: WMO) does not apply to the current study (reference number nWMODIV2_2024025). …”
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  4. 2844

    Comparing predictive performance of pulmonary embolism risk stratification tools for acute clinical deterioration by Anthony J. Weekes, Jaron D. Raper, Dasia Esener, Jillian Davison, Jeremy S. Boyd, Christopher Kelly, Jason T. Nomura, Alyssa M. Thomas, Kathryn Lupez, Carly A. Cox, Patrick M. Ockerse, Stephen Leech, Jakea Johnson, Eric Abrams, Kathleen Murphy, Nathaniel S. O'Connell

    Published 2023-06-01
    “…Areas under the curve were 61.5 (59.1, 63.9), 56.2 (55.1, 57.3), and 60.5 (58.9, 62.0). Negative predictive values were 87.5 (84.7, 90.2), 97 (94.4, 99.6), and 95.1 (92.7, 97.5). …”
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  5. 2845
  6. 2846

    Energy Attenuation Prediction of Dye-Doped PMMA Microfibers by Backpropagation Neural Network by Hang Yu, Juan Liu, Jinjin Han, Minghui Chen, Mingjun Ke, Zhili Lin, Zhijun Wu, Jixiong Pu, Xining Zhang, Hao Dai

    Published 2022-01-01
    “…The energy losses of the two kinds of light from different doped PMFs are also calculated based on the predicted values, which are similar to the ones obtained from the EF method. …”
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  7. 2847

    Validation of a novel questionnaire for assessing occupational exposure to organophosphate pesticides in Chilean agricultural workers by Liliana Zúñiga-Venegas, Liliana Zúñiga-Venegas, Natalia Landeros, Natalia Landeros, Floria Pancetti, Sandra Cortés, Sandra Cortés, Boris Lucero, Ana M. Brito, Ian S. Acuña-Rodríguez, María Teresa Muñoz-Quezada

    Published 2025-08-01
    “…Sensitivity, specificity, predictive values, and Receiver Operating Characteristic (ROC) curve analyses were performed to assess the accuracy.ResultsUrinary DAP levels and AChE inhibition increased in T1 (from 6.54 ± 4.66 to 12.39 ± 9.88 μg/g creatinine, p = 0.004, and from 2.26E-3±6.53E-4 to 1.44E-3±2.73E-4 mmol/min-1*mgProt-1, p < 0.001, respectively), with AChE inhibition (30.99%) exceeding Chilean regulatory threshold. …”
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  8. 2848

    Effectiveness of 2 Just-in-Time Adaptive Interventions for Reducing Stress and Stabilizing Cardiac Autonomic Function: Microrandomized Trials by Andreas Richard Schwerdtfeger, Josef Martin Tatschl, Christian Rominger

    Published 2025-08-01
    “…This metric is quantified by regressing bodily movement on the root mean square of successive differences and identifying reductions <0.5 SD of the predicted value in real time in everyday life. …”
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  9. 2849

    Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements by Evgenii Kanin, Alsu Garipova, Sergei Boronin, Vladimir Vanovskiy, Albert Vainshtein, Andrey Afanasyev, Andrei Osiptsov, Evgeny Burnaev

    Published 2025-06-01
    “…The kernel regression parameters are optimized by minimizing the discrepancies between actual and predicted values of permeability at well locations, the integral permeability of the reservoir domain around each well, and skin factors. …”
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  10. 2850

    Patient-Specific Instrumentation Benefits for INBONE II Total Ankle Arthroplasty by Charlotte Jones BS, Allison Boden MD, Patricia Friedmann MS, Suzy Wang MS, Ricardo Villar MD, Constantine Demetracopoulos MD, Jonathan Deland MD, Elizabeth Cody MD, Matthew Conti MD, Jensen Henry MD, Scott Ellis MD

    Published 2025-03-01
    “…Accuracy and Alignment of Patient-Specific Instrumentation in Comparison with Prophecy Predicted Values and Non-PSI Cases using Radiographic and Intraoperative Measurements…”
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  11. 2851

    Diagnostic accuracy of bone-related biomarkers on peri-implantitis: potential of A-proliferation-inducing ligand by Alejandra Chaparro, Valeria Ramírez, María José Bendek, José Nart, Alberto Monje, Andrés Pascual, Carolina Rojas, María Luisa Mizgier, Daniela Albers, Víctor Beltrán

    Published 2025-07-01
    “…The diagnostic accuracy was determined through sensitivity, specificity, predictive values (PV), and receiver operating characteristic (ROC) curves. …”
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  12. 2852

    Diagnostic value of EOS count and serum VEGF in bronchial asthma and their correlation with inflammatory factors and lung function indicators by Longqun Liu, Chenfei Zhang, Jian Xu, Wei Hu

    Published 2025-05-01
    “…The EOS count, serum VEGF, inflammatory factors [interleukin-6 (IL-6), interleukin-7 (IL-7), interleukin-10 (IL-10)], and lung function indicators [forced expiratory volume in one second (FEV1%) as a percentage of the predicted value, FEV1/forced vital capacity (FVC)] were compared among different groups. …”
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  13. 2853

    Understanding the causal effects and heterogeneity between metabolic syndrome and lung function: a nationwide prospective cohort study in China by Jun Wang, Hai-bin Yu, Si-yuan Lei, Huan-rong Ruan, Xiao-chuan Guo, Jian-sheng Li

    Published 2025-07-01
    “…After applying overlap weighting, MetS exposure demonstrated a significant adverse causal effect on the peak expiratory flow as a percentage of predicted value (PEF%pred) (average treatment effect = -4.20, p < 0.001), and all participants exposed to MetS demonstrated individual treatment effects below zero. …”
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  14. 2854

    Evaluation of the predictors of successful sperm retrieval of micro-TESE in cases with mosaic Klinefelter versus cases with non-mosaic Klinefelter: a prospective case series study by Amr Elahwany, Fatma A. Elrefaey, Hisham Alahwany, Hesham Torad, Sameh Fayek GamalEl Din, Rashad Mohammed Saeed Dawood, Mohamed Wael Ragab, Ahmed Fawzy Megawer

    Published 2025-05-01
    “…Moreover, the cutoff point and sensitivity and specificity and positive and negative predictive values for Rt and Lt testicular volumes were as follows 2 ml, 73.1%, 61.4%, 52.78, 79.41, 2 ml, 76.9%, 57.8%, 51.28 and 80.65, respectively. …”
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  15. 2855

    Improvement in genetic evaluation of quantitative traits in sheep by enriching genetic model with dominance effects by Farhad Ghafouri-Kesbi, Morteza Mokhtari, Mohsen Gholizadeh

    Published 2025-08-01
    “…The predictive ability of models was measured using the mean squared error of prediction (MSE) and Pearson’s correlation coefficient between the real and predicted values of records (r( $$\:y$$ , $$\:\widehat{y}$$ )). …”
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  16. 2856

    Screening, Identification, and Fermentation of <i>Brevibacillus laterosporus</i> YS-13 and Its Impact on Spring Wheat Growth by Wenjing Zhang, Xingxin Sun, Zele Wang, Jiayao Li, Yuanzhe Zhang, Wei Zhang, Jun Zhang, Xianghan Cheng, Peng Song

    Published 2025-05-01
    “…The optimal conditions were determined as 34 °C, 8% inoculum volume, initial pH of 7.55, 48 h incubation, 5 g L<sup>−1</sup> NaCl, 8.96 g L<sup>−1</sup> glucose, and 8.86 g L<sup>−1</sup> peptone, under which the viable cell count reached 6.29 × 10<sup>8</sup> CFU mL<sup>−1</sup>, consistent with the predicted value (98.33%, <i>p</i> < 0.05). The plant growth-promoting effect of YS-13 was further validated through a pot experiment using <i>Triticum aestivum</i> cv. …”
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  17. 2857

    Utility of physiologically based pharmacokinetic modeling to predict inter-antibody variability in monoclonal antibody pharmacokinetics in mice by Shufang Liu, Sara C. Humphreys, Kevin D. Cook, Kip P. Conner, Ana R. Correia, Alex W. Jacobitz, Melissa Yang, Ronya Primack, Marcus Soto, Rupa Padaki, Mariusz Lubomirski, Richard Smith, Marissa Mock, Veena A. Thomas

    Published 2023-12-01
    “…The predictive utility of the developed PBPK model was evaluated against a separate panel of 14 mAbs biased toward high clearance, among which area under the curve of PK data of 12 mAbs was predicted within 2.5-fold error, and the positive and negative predictive values for clearance prediction were 85% and 100%, respectively. …”
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  18. 2858

    ARIMA Markov Model and Its Application of China’s Total Energy Consumption by Chingfei Luo, Chenzi Liu, Chen Huang, Meilan Qiu, Dewang Li

    Published 2025-06-01
    “…These states are then combined with a Markov transition probability matrix to determine the final predicted values. The ARIMAMKM model is validated using China’s energy consumption data, achieving high prediction accuracy as evidenced by metrics such as mean absolute percentage error (MAPE), root mean square error (RMSE), <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">S</mi><mi mathvariant="normal">T</mi><mi mathvariant="normal">D</mi></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi mathvariant="normal">R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>. …”
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  19. 2859

    Study of Detection of Typical Pesticides in Paddy Water Based on Dielectric Properties by Shuanggen Huang, Mei Yang, Junshi Huang, Longwei Shang, Qi Chen, Fang Peng, Muhua Liu, Yan Wu, Jinhui Zhao

    Published 2025-07-01
    “…The ANN content prediction model established using phase frequency response data performs well, and the highest R<sup>2</sup> prediction values of chlorpyrifos, isoprothiolane, imidacloprid and carbendazim in paddy water were 0.8249, 0.8639, 0.9113 and 0.8368 respectively. …”
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  20. 2860

    Performance Analysis of a Rooftop Grid-Connected Photovoltaic System in North-Eastern India, Manipur by Thokchom Suka Deba Singh, Benjamin A. Shimray, Sorokhaibam Nilakanta Meitei

    Published 2025-04-01
    “…</sub> It can be seen that there was a large difference between the real and predicted values, which may be due to inverter downtime, local environmental variables (e.g., lower-than-expected solar irradiation and temperature impacts), and the possible degradation of photovoltaic modules over time. …”
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