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  1. 11301

    A QCT-Based Nonsegmentation Finite Element Head Model for Studying Traumatic Brain Injury by Zhaoyang Liang, Yunhua Luo

    Published 2015-01-01
    “…The maximum peak strains/stresses predicted by the proposed FEHM are much higher than those by the existing FEHM, indicating that piecewise-homogeneous FEHM may have underestimated the stress/strain level induced by impact and thus may be inaccurate in predicting traumatic brain injuries.…”
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  2. 11302

    Kindness and happiness at work by Oliver Scott Curry, Chloe San Miguel, Mehmet Necip Tunç

    Published 2024-11-01
    “…In Study 1 (n = 1151) we find that kindness to and from bosses, colleagues and subordinates, and a more general measure of kindness at work, predicts happiness at work. In Study 2 (n = 781) we find that kindness to bosses, colleagues and subordinates, and kindness from bosses, colleagues but not subordinates, as well as more general measures of kindness at work, predict happiness at work. …”
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  3. 11303

    Human Resource Information System with Machine Learning Integration by Jake R. Pomperada

    Published 2022-06-01
    “…It was developed with the feature of predicting employee turnover using a supervised machine learning method.  …”
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  4. 11304

    Peran Norma Deskriptif dan Kepribadian terhadap Perilaku Melawan Arah pada Pengendara Sepeda Motor by Aflah Zakinov Irta, Dewi Maulina, Guritnaningsih A. Santoso

    Published 2021-07-01
    “…This study aims to investigate the role of descriptive norms and personality traits in predicting contraflow riding behavior among motorcyclists. …”
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    Article
  5. 11305

    Age-Dependent Constraints of Sex Allocation in a Parasitoid Wasp by Takatoshi Ueno

    Published 2014-01-01
    “…Curiously, the predictions of continuous movements for male egg deposition were always perfect, regardless of maternal age; fertilization control failure was detected when the females had decided to lay female eggs. …”
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  6. 11306

    Development of a novel physics-informed machine learning model for advanced thermochemical waste conversion by Surika van Wyk

    Published 2025-03-01
    “…A physics-informed machine learning (ML) model, which incorporates the conservation of carbon mass, was developed to predict the product gas yield and composition for indirect gasification of waste in a fluidized bed. …”
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  7. 11307

    Progression and mortality of patients with cystic fibrosis in China by Wangji Zhou, Yaqi Wang, Yanli Yang, Yanyan Sun, Chongsheng Cheng, Jinrong Dai, Shuzhen Meng, Keqi Chen, Yang Zhao, Xueqi Liu, Dingding Zhang, Song Liu, Weiguo Zhu, Yaping Liu, Kai-Feng Xu, Xinlun Tian

    Published 2025-01-01
    “…The CF-ABLE and 3-year prognostic scores are applicable for predicting poor prognosis in patients with CF in China.…”
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  8. 11308

    Radiomics analysis of thoracic vertebral bone marrow microenvironment changes before bone metastasis of breast cancer based on chest CT by Hao-Nan Zhu, Yi-Fan Guo, YingMin Lin, Zhi-Chao Sun, Xi Zhu, YuanZhe Li

    Published 2025-02-01
    “…Furthermore, DCA demonstrated the potential of radiomics models in clinical application, with a greater clinical benefit in predicting bone metastasis than clinical model and nomogram. …”
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  9. 11309

    Antibacterial-Coated Suture in Reducing Surgical Site Infection in Breast Surgery: A Prospective Study by Enora Laas, Cécile Poilroux, Corinne Bézu, Charles Coutant, Serge Uzan, Roman Rouzier, Elisabeth Chéreau

    Published 2012-01-01
    “…There was a significant difference in Group 2 between predicted probabilities and observed percentages (). …”
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  10. 11310

    HMGB-1 as a Novel Predictor of Disease Severity and Prognosis in Patients with Hemorrhagic Fever with Renal Syndrome by Hong Du, Jing Li, Haitao Yu, Jianqi Lian, Ye Zhang, Ying Zhang, Xuefan Bai, Pingzhong Wang

    Published 2015-01-01
    “…Objective. To examine the predictive capacity of the high mobility group box protein-1 (HMGB-1) for disease severity and prognosis of hemorrhagic fever with renal syndrome (HFRS). …”
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  11. 11311

    Life-history adaptation under climate warming magnifies the agricultural footprint of a cosmopolitan insect pest by Estelle Burc, Camille Girard-Tercieux, Moa Metz, Elise Cazaux, Julian Baur, Mareike Koppik, Alexandre Rêgo, Alex F Hart, David Berger

    Published 2025-01-01
    “…We find support for these predictions by studying thermal adaptation in life-history traits and gene expression in the wide-spread insect pest, Callosobruchus maculatus; with 5 years of evolution under experimental warming causing an almost two-fold increase in its predicted agricultural footprint. …”
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  12. 11312

    Impact of NRAS Mutations on the Diagnosis of Follicular Neoplasm of the Thyroid by Ja-Seong Bae, Seung Kyu Choi, Sora Jeon, Yourha Kim, Sohee Lee, Youn Soo Lee, Chan Kwon Jung

    Published 2014-01-01
    “…The sensitivity, specificity, positive predictive value, and negative predictive value of a NRAS mutation-positive FN specimen to predict malignancy were 37%, 83%, 67%, and 58%, respectively. …”
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  13. 11313

    Defining Nocturnal Polyuria in Adolescents by Tasmia Promi, Anthony Brooks, Gulzhan Tologonova, Marie-Claire Roberts, Sarita Dhuper, Meseret Tena, Oluwatoyin Bamgbola, Monique Hanono, Jeffrey P. Weiss, Karel Everaert, Tine DeBacker, Thomas F. Monaghan, Louis Salciccioli, Stephen Wadowski, Elka Jacobson-Dickman, Jason M. Lazar

    Published 2025-03-01
    “…Receiver operating characteristic (ROC) curves were used to test the performance of different NUP values in predicting nocturia. On ROC, the area under curve (AUC) was 0.85. …”
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  14. 11314

    A Multiscale Fractal Approach for Determining Cushioning Curves of Low-Density Polymer Foams by Mariela C. Bravo-Sánchez, Luis M. Palacios-Pineda, José L. Gómez-Color, Oscar Martínez-Romero, Imperio A. Perales-Martínez, Daniel Olvera-Trejo, Jorge A. Estrada-Díaz, Alex Elías-Zúñiga

    Published 2025-01-01
    “…The accuracy of the theoretical predictions achieved using fractal calculus elucidates how to predict multiscale phenomena associated with foam heterogeneity across space, density, and average pore size, which influence the foam chain’s molecular motion during impact loading conditions.…”
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  15. 11315

    Numerical Simulation of Bubble Coalescence and Break-Up in Multinozzle Jet Ejector by Dhanesh Patel, Ashvinkumar Chaudhari, Arto Laari, Matti Heiliö, Jari Hämäläinen, Kishorilal Agrawal

    Published 2016-01-01
    “…In order to validate our numerical predictions, results of one, three, and five nozzles are compared to laboratory experiments data for Cl2-NaOH system. …”
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  16. 11316

    Validation of Analytical Method for Aeromonas hydrophila Identification using Analytical Profile Index (API) 20E KIT Method by Diah Artati, Mohammad Oman, Supriyanto Supriyanto, Dede Sukarta, Adam Robisalmi

    Published 2024-04-01
    “…The sensitivity and specificity values in the positive and negative target samples were 100% with a positive predictive value and a negative predictive value of 0%, respectively. …”
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  17. 11317
  18. 11318

    Composition optimization design and high temperature mechanical properties of cast heat-resistant aluminum alloy via machine learning by Changmei Hao, Yudong Sui, Yanru Yuan, Pengfei Li, Haini Jin, Aoyang Jiang

    Published 2025-02-01
    “…Experimental results show that predictions of the machine learning model deviate by only 7.75 % from the actual results, with an R2 of 0.94. …”
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  19. 11319

    Studying Disturbance Wave Velocity and Wall Shear Stress of Vertical Upward Annular Flow in Narrow Rectangular Channel by Antai Liu, Changqi Yan, Fuqiang Zhu, Haifeng Gu, Suijun Gong

    Published 2021-01-01
    “…Compared with the existing correlation for predicting wall shear stress, this new correlation can well predict the current experimental data and MAPE is only 7.32%.…”
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  20. 11320

    Learning and forecasting open quantum dynamics with correlated noise by Xinfang Zhang, Zhihao Wu, Gregory A. L. White, Zhongcheng Xiang, Shun Hu, Zhihui Peng, Yong Liu, Dongning Zheng, Xiang Fu, Anqi Huang, Dario Poletti, Kavan Modi, Junjie Wu, Mingtang Deng, Chu Guo

    Published 2025-01-01
    “…Abstract The development of practical quantum processors relies on the ability to control and predict their functioning despite the presence of noise. …”
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