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  1. 2881
  2. 2882

    A Mobile Health App Informed by the Multi-Process Action Control Framework to Promote Physical Activity Among Inactive Adults: Iterative Usability Study by Heather Hollman, Wuyou Sui, Haowei Zhang, Ryan E Rhodes

    Published 2025-04-01
    “…The app was easy to navigate (9/13, 69%); however, some errors were identified, such as PA monitoring connection problems, broken links, and difficulties entering and modifying data. …”
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    Article
  3. 2883

    Improving Large Language Models’ Summarization Accuracy by Adding Highlights to Discharge Notes: Comparative Evaluation by Mahshad Koohi Habibi Dehkordi, Yehoshua Perl, Fadi P Deek, Zhe He, Vipina K Keloth, Hao Liu, Gai Elhanan, Andrew J Einstein

    Published 2025-07-01
    “…Moreover, H-summaries demonstrated better correctness than U-summaries, with fewer instances of erroneous information (2 vs 3 errors, respectively). The number of improper headers was smaller for H-summaries for 11 notes and U-summaries for 4 notes (P=.03; implying statistical significance). …”
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  4. 2884

    Dosimetric study of TrueBeam single-isocenter vs. Halcyon dual-isocenter VMAT radiotherapy plans for postoperative left-sided breast cancer by Chaojun Chai, Kainan Shao, Guoping Shan, Pu Li, Fenglei Du, Yiwei Yang

    Published 2025-07-01
    “…Despite higher MU, beam-on time, and plan complexity, the H group’s dosimetric advantages and reduced manual positioning errors make it a safe and effective treatment option for postoperative breast cancer.…”
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  5. 2885

    Multi-morbidity and blood pressure trajectories in hypertensive patients: A multiple landmark cohort study. by Jenny Tran, Robyn Norton, Dexter Canoy, Jose Roberto Ayala Solares, Nathalie Conrad, Milad Nazarzadeh, Francesca Raimondi, Gholamreza Salimi-Khorshidi, Anthony Rodgers, Kazem Rahimi

    Published 2021-06-01
    “…<h4>Conclusions</h4>BP levels at which patients were diagnosed with hypertension varied substantially according to the presence of comorbidities and were lowest in patients with multi-morbidity. …”
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  6. 2886
  7. 2887

    The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study by Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

    Published 2025-02-01
    “… BackgroundDispensing errors significantly contribute to adverse drug events, resulting in substantial health care costs and patient harm. …”
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  8. 2888

    High accuracy prediction of Thai rice glycemic index using machine learning by Yusuf Durmus

    Published 2024-12-01
    “…Moreover, CatBoost exhibited superior performance with the highest test R2 value (0.977) and the lowest test root mean square error (RMSE) and mean absolute error (MAE) values (1.674 and 1.302, respectively). …”
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  9. 2889
  10. 2890

    Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research by Seyed Amir Sabet, Saeed Aibaghi esfahani, Abdolmajid Abdolbaghi Ataabadi

    Published 2025-12-01
    “…Conclusion and discussionThis meta-analysis confirms that cognitive and emotional biases universally impact investor decision-making across global markets. …”
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  11. 2891

    A Modified New Two-Parameter Estimator in a Linear Regression Model by Adewale F. Lukman, Kayode Ayinde, Sek Siok Kun, Emmanuel T. Adewuyi

    Published 2019-01-01
    “…Furthermore, the superiority of the new estimator over OLSE, RRE, LE, MRE, MLE, and the two-parameter estimator proposed by Ozkale and Kaciranlar (2007) was obtained by using the mean squared error matrix criterion. In conclusion, a numerical example and a simulation study were conducted to illustrate the theoretical results.…”
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  12. 2892

    Retinoic acid-induced 2 deficiency impairs genomic stability in breast cancer by Lena Boettcher, Sarah Greimeier, Kerstin Borgmann, Shabbir S. Mughal, Bernhard Ellinger, Kai Bartkowiak, Bernd Zobiak, Antonio V. Failla, Pascal Steffen, Ellen Claus, Katharina Besler, Christopher Buccitelli, Violetta Schaaf, Ann-Kathrin Ozga, Simona Parretta, Svenja Schneegans, Wael Y. Mansour, Jan O. Korbel, Hartmut Schlueter, Benedikt Brors, Klaus Pantel, Harriet Wikman, Stefan Werner

    Published 2025-07-01
    “…We validated the association of RAI2 gene expression with DNA repair capacity in clinical samples. Conclusions Our findings support, for the first time, a functional role of RAI2 in the maintenance of genomic stability. …”
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  13. 2893
  14. 2894

    The Effects of the Clinical Simulation of Transfusion Reactions on Nursing Students’ Knowledge Gain: A Pragmatic Clinical Trial by Ana Beatriz Frota Lima Rodrigues, Samia Valéria Ozorio Dutra, Maria Ivaneide Teixeira dos Santos, Lucas Ribeiro Araujo, Annie Leticia de Holanda Ferreira, Arthur Feitosa Jacinto, Brenda Sousa da Conceição, Gleiciane Kélen Lima, Igor Cordeiro Mendes, Elaine Cristina Negri, Maria Neyrian de Fátima Fernandes, Luciana Mara Monti Fonseca, Francisco Mayron Morais Soares

    Published 2025-06-01
    “…The data showed that the clinical simulation intervention had a significant positive effect on the acquisition of theoretical knowledge about transfusion reactions. Conclusions: Through the use of simulation as a teaching strategy, students gained greater knowledge.…”
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  15. 2895

    Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

    Published 2025-06-01
    “…The predictions were combined and reconstructed, and a BiLSTM-based error correction model further corrected the errors, yielding the final prediction results. …”
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  16. 2896
  17. 2897

    Global Sensitivity Analysis of CASC2D Hydrological Model Parameters by LI Xiao-ying, ZHANG Jin-hui, ZHAO Hong-jie

    Published 2025-06-01
    “…[Objectives] The parameter calibration of the CASC2D hydrological model is mainly based on manual trial-and-error methods. It lacks a global sensitivity analysis of model parameters and the identification of relationships between parameters and simulation indices based on such analysis. …”
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  18. 2898

    Study on the Thermal Performance of Inner and Outer Wall Surfaces Based on FDM-ATSCM by Li Honglian, Cao Wenhui, Jiang Suwan, Sun Yinghao, Zhu Xinrong

    Published 2025-01-01
    “…Many existing approaches rely on overly simplified assumptions, resulting in significant errors and inefficient strategies. For large-scale or high-performance buildings, even slight temperature deviations can have major impacts on energy consumption and indoor conditions. …”
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