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  1. 4541

    Protocol for the derivation and external validation of a 30-day mortality risk prediction model for older patients having emergency general surgery (PAUSE score—Probability of mort... by Carl van Walraven, Daniel I McIsaac, Manoj Lalu, Simon Feng, Husein Moloo, Reilly Musselman

    Published 2020-01-01
    “…Older age is associated with doubling of risk when undergoing emergency general surgery (EGS) procedures and often coexists with medical complexity and considerations of end-of-life care, creating prognostic and decisional uncertainty. Combined with the time-sensitive nature of EGS, it is challenging to gauge perioperative risk and ensure that clinical decisions are aligned with the patient values. …”
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  2. 4542

    Association between lactate/albumin ratio and prognosis in critically ill patients with acute kidney injury undergoing continuous renal replacement therapy by Jianfei Liu, Jie Min, Jianhong Lu, Lei Zhong, Hui Luo

    Published 2024-12-01
    “…Cox regression analysis, which was adjusted for nine variables identified by LASSO, confirmed that a high LAR (>1.641) served as an independent predictor of mortality at these specific time points (p < 0.05) in AKI patients who were receiving CRRT. …”
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  3. 4543

    Smart plant disease diagnosis using multiple deep learning and web application integration by Ahmed M.S. Kheir, Anis Koubaa, Vinothkumar Kolluru, Sudeep Mungara, Til Feike

    Published 2025-06-01
    “…This platform enables real-time plant disease diagnosis with high confidence, identifying conditions such as rust (85.3 % confidence) and healthy leaves (90.2 % confidence). …”
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  4. 4544

    Immunoinflammatory biomarkers as predictors of hemorrhagic transformation in acute ischemic stroke patients after endovascular thrombectomy by Li Bao, Yuhang Wang, Shuang He

    Published 2025-06-01
    “…Multivariate analysis revealed that HT after EVT was significantly associated with collateral score [OR 0.27 (95% CI 0.13–0.52), p &lt; 0.001], arteriosclerosis etiology [OR 0.11 (95% CI 0.02–0.46), p = 0.006], puncture to recanalization time [OR 3.72 (95% CI 1.07–14.59), p = 0.04], and levels of IL-6 [OR 7.33 (95% CI 2.1–31.07), p = 0.003; AUC 0.696 (95% CI 0.593–0.799)]. sICH was independently related to direct aspiration (DA) techniques [OR 0.07 (95% CI 0.09–0.35), p = 0.004] and neutrophil-to-albumin ratio (NAR) values [OR 5.69 (95% CI 1.16–37.24), p = 0.044; 0.676 (95% CI 0.550–0.803)]. …”
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  5. 4545

    Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study by Hui Lin, Min Yang, Zhiheng Zhou, Yu Zhang, Ning Deng

    Published 2025-04-01
    “…Predictor and outcome variables were defined as adjacent elements in the sequence of self-monitoring of dietary behaviors. …”
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  6. 4546

    Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar by Naseer Muhammad Khan, Liqiang Ma, Waleed Bin Inqiad, Muhammad Saud Khan, Imtiaz Iqbal, Muhammad Zaka Emad, Saad S. Alarifi

    Published 2025-06-01
    “…The developed models were validated by means of error metrics, residual assessment, and external validation checks which revealed that XGB is the most accurate algorithm having testing $$\:{\text{R}}^{2}$$ of 0.998 followed by BR having $$\:{\text{R}}^{2}$$ values equal to 0.946 while MEP had the lowest testing $$\:{\text{R}}^{2}$$ of 0.893. …”
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  7. 4547

    Measuring and estimation of suspended sediment variation using sediment rating curve approach in Mereg River by Sohila Aghabeigi Amin, Heidar Mirzaei

    Published 2017-08-01
    “…Therefore, recognizing the variability of rivers is essential to manage water resources and environmental issues. …”
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  8. 4548

    Cirrus formation regimes – data-driven identification and quantification of mineral dust effect by K. Jeggle, D. Neubauer, H. Binder, U. Lohmann

    Published 2025-07-01
    “…In this work we combine 3 years of satellite observations of cirrus clouds from the DARDAR-Nice retrieval product with Lagrangian trajectories of reanalysis data of meteorological and aerosol variables calculated 12 h backward in time for each observed cirrus cloud. …”
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  9. 4549

    Prospective Evaluation of Results of Surgical Treatment of Patients with Idiopathic Macular Hole by Phacovitrectomy and Combined Cataract and Vitrectomy Surgery by Kinga Tochman-Kanty, Monika Jasielska, Jerzy Mackiewicz

    Published 2024-05-01
    “…A common feature of patients with worse results on individual variables was a longer duration of the disease and a larger size of the hole prior vitrectomy.…”
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  10. 4550

    Observational study of ground-level ozone and climatic factors in Craiova, Romania, based on one-year high-resolution data by Hasan Yildizhan, Mihaela Tinca Udriștioiu, Tugce Pekdogan, Arman Ameen

    Published 2024-11-01
    “…Using Python, the daily values were calculated and compared with the limit values recommended by the World Health Organization (WHO) and European Environment Agency (EEA). …”
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  11. 4551

    Gait characteristics in people with Friedreich ataxia: daily life versus clinic measures by Hannah L. Casey, Vrutangkumar V. Shah, Vrutangkumar V. Shah, Daniel Muzyka, James McNames, James McNames, Mahmoud El-Gohary, Kristen Sowalsky, Delaram Safarpour, Patricia Carlson-Kuhta, Christian Rummey, Fay B. Horak, Fay B. Horak, Christopher M. Gomez

    Published 2025-03-01
    “…Of the 17 measures tested, 11 had an AUC &gt; 0.8 in-clinic and 8 had an AUC &gt;0.8 at home. Variability of swing time (Clinic AUC = 0.97, Home AUC = 0.94) and double-support time (Clinic AUC = 0.94, Home AUC = 0.94) were the most sensitive and specific for FRDA in both environments.ConclusionDigital gait characteristics from inertial sensors are sensitive and specific for FRDA in both environments. …”
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  12. 4552

    High-performance ratiometric optical oxygen sensor fabricated via 3Dprinted silicone for biomedical applications by Rispandi, Cheng-Shane Chu, Abdulfatah Abdu Yusuf, Muhammad Imam Ammarullah

    Published 2025-12-01
    “…The sensors embedded with PtTFPP and Ru(dpp)₃²⁺ show linear Stern–Volmer behavior, with sensitivity values of about 69 and 12, respectively. Furthermore, the PtTFPP-based sensor exhibits response times of 41 s and 64 s for oxygen increase and decrease transitions, respectively, while the Ru(dpp)₃²⁺-based sensor records 45 and 68 s for the same changes. …”
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  13. 4553

    Preliminary Evaluation of an Automated Blood Cell Analyzer for Its Use with Blood Samples from Rainbow Trout <i>Oncorhynchus mykiss</i> by Montse Mesalles, Meritxell Uroz, Irene Brandts, Emmanuel Serrano, Rafaela Cuenca, Josep Pastor, Mariana Teles

    Published 2025-04-01
    “…However, heterophils (%) exhibited higher variability, with a CV of 15.08%. Linearity was excellent, and the carry-over was below 1% for all parameters. …”
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  14. 4554
  15. 4555

    Harnessing the machine learning and nomogram models: elevating prognostication in nonmetastatic gastric cancer with “double invasion” for personalized patient care by Zhenwen Hao, Zhiming Wang, Jinfeng Ma, Yifan Li, Wenbin Zhang

    Published 2025-06-01
    “…All models showed good calibration with low integrated Brier scores (< 0.1), although there was calibration drift over time, particularly in the traditional nomogram model. …”
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  16. 4556

    Optimized Enzymatic Extraction of Phenolic Compounds From Jabuticaba Peels Using Auricularia fuscosuccinea by Romina O. Coniglio, Gabriela V. Díaz, Mayra F. Bordaquievich, Carlos G. Altamirano, Edgardo O. Albertó, Pedro D. Zapata

    Published 2025-06-01
    “…A central composite design was carried out to optimize the conditions for the cocktail enzyme‐assisted extraction (pH, temperature and time), using total phenolic content and antioxidant activity (DPPH assay) as response variables. …”
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  17. 4557

    Simultaneous quantitative screening of 53 phytochemicals from Rheum tataricum L. roots: a comparative study of supercritical CO2, subcritical ethanol, and ultrasound-assisted extra... by Madina Amangeldinova, Madina Amangeldinova, Mehmet Ersatır, Adem Necip, Mustafa Abdullah Yilmaz, Mustafa Abdullah Yilmaz, Mehmet Cimentepe, Nataliya Kudrina, Nataliya Kudrina, Nina V. Terletskaya, Nina V. Terletskaya, Ozge Ozturk Cimentepe, Metin Yildirim

    Published 2024-12-01
    “…This study, utilizing three different extraction methods with varying variables such as temperature, pressure, and extraction time, has provided significant insights into which extraction method should be employed for isolating specific phytochemicals or for therapeutic purposes, based on the differing antibacterial results observed. …”
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  18. 4558

    The impact of pathogen reduction on ABO isoagglutinin titers in apheresis platelets by Mikayel Yeghiazaryan, Yembur Ahmad, Jessie Singer, Vaanush Nazaryan, Craig Fletcher, Yamac Akgun

    Published 2025-07-01
    “…IgG titers exhibited more variability, with 9 % of Post-CAD samples displaying higher titers than Retention samples. …”
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  19. 4559

    Changes in Metamorphopsia, Visual Acuity, and Central Macular Thickness after Epiretinal Membrane Surgery in Four Preoperative Stages Classified with OCT B-Scan Images by Jianbo Mao, Hanfei Wu, Chenyi Liu, Chenting Zhu, Jimeng Lao, Yiqi Chen, Jiwei Tao, Yun Zhang, Lijun Shen

    Published 2019-01-01
    “…Similarly, the postoperative values in the three variables mentioned above also had significant difference among the three stages (P<0.05). …”
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  20. 4560

    Reliability and Accuracy of Linear Position Transducers During the Bench Press and Back Squat: Implications for Velocity-Based Training by Raynier Montoro-Bombú, Armando Costa, Paulo Malico Sousa, Valter Pinheiro, Pedro Forte, Luis Monteiro, Alex S. Ribeiro, Luis Rama

    Published 2025-03-01
    “…<b>Results:</b> The main findings of this study support a high degree of reliability for LPTs. For all variables, the absolute reliability presented significant values (<i>p</i> ≤ 0.05), with an intraclass correlation coefficient ≥ 0.995, a 95% confidence interval between 0.992–0.999, a coefficient of variation ≤ 10%, and a standard error of the mean ≤ 0.031. …”
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