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  1. 4381

    At the crossroad between Ewing sarcoma and neuroblastoma: a report of two cases of Ewing sarcoma with post treatment neuroblastoma-like differentiation by Giorgia Arcovito, Giacomo Aringhieri, Virna Zampa, Luca Coccoli, Lorenzo Andreani, Alessandro Franchi

    Published 2025-04-01
    “…Abstract Background Ewing sarcoma (ES) is the second most frequent sarcoma of bone, often affecting young patients and pursuing an aggressive clinical course. …”
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  2. 4382

    In vivo programmed myeloid cells expressing novel chimeric antigen receptors show potent anti-tumor activity in preclinical solid tumor models by Shannon Argueta, Yuxiao Wang, Hongyun Zhao, Neha Diwanji, Michael Gorgievski, Edward Cochran, Ewa Grudzien-Nogalska, Josephine D’Alessandro, Bruce McCreedy, Thomas Prod’homme, Robert Hofmeister, Jian Ding, Daniel Getts

    Published 2024-12-01
    “…However, these cell therapies are complex and costly, and unlike in hematological malignancies, outcomes with most T cell therapies in solid tumors have been disappointing. …”
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  3. 4383

    Comprehensive optimization of passenger trains operation based on an automated system for managing the profitability of passenger traffic by G. L. Venediktov, V. M. Kochetkov

    Published 2021-02-01
    “…The article is devoted to solving the problem of optimizing the tariff policy, which is relevant for the passenger complex, with the most rational use of the rolling stock. Principles of economic and mathematical modeling are presented in order to determine the optimal number of cars in passenger trains and prices for travel in a single calculation process called complex optimization. …”
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  4. 4384

    Estimating Total Sediment Load Using Water Quality Parameters in the Sufi Chay River, Iran: A Comparative Analysis of Soft Computing and Dimensionless Approaches by Jafar Chabokpour

    Published 2025-03-01
    “…Total sediment load is the dependent variable, while the independent variables include flow rate, total dissolved solids (TDS), electrical conductivity (EC), pH, total anions, total cations, anion hardness, and cation hardness. …”
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  5. 4385

    Depth-dependent effects of crop rotation and monoculture on dissolved organic matter quantity and quality by Tianjing Ren, Guillaume Debaene, Aleksandra Ukalska-Jaruga, Bożena Smreczak

    Published 2025-08-01
    “…DOC variation was most associated with total nitrogen (14.92% contribution), total carbon (11.68%), and DOP (9.67%). …”
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  6. 4386

    The influence of climate change on the potential distribution of Ageratum conyzoides in China by Yuan Wang, Yonggang Yang, Minggang Zhang

    Published 2024-10-01
    “…Through multivariate environment similarity surface and most dissimilar variable analysis, we identified the main environmental variables influencing the distribution of A. conyzoides. …”
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  7. 4387

    AHP-Guided Stacked Ensemble Modeling for Student Engagement Level Prediction in Online Education by Jingjing Fu, Linjie Luo, Zhifeng Zhong, Jiaming Qin

    Published 2025-01-01
    “…At the first level, KNN, SVM, and NB models are used independently to predict the target variable (engagement level) based on the selected features. …”
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    Article
  8. 4388

    Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin by Anqi Tan, Ming Li, Heng Liu, Liangang Chen, Tao Wang, Binghui Yang, Min Wan, Yong Shi

    Published 2025-07-01
    “…Spatial regression revealed terrain features explain 15.4% of flood-season variation. TPMFD most accurately captured these terrain-precipitation relationships. …”
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  9. 4389

    Therapeutic potential of plant-based therapies in pediculosis capitis: Systematic review and meta-analysis. by Jacqueline Chen, Angela Mei, Angela Jacques, Bernadette Ricciardo, Asha Bowen

    Published 2025-01-01
    “…Local cutaneous irritation was the most frequent adverse event. Several limitations were identified, including confounding variables (e.g., inconsistent combing technique and variable plant-based interventions with multiple active ingredients and formulations), small sample sizes and lack of blinding. …”
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  10. 4390

    Harmonizing satellite thermal data with ground-based observations for climate long-term monitoring by E. Głowienka, E. S. Malinverni, M. Sanità, K. Michałowska, M. Kucza

    Published 2025-05-01
    “…Among the examined datasets, Landsat 8 delivered the most consistent results (RMSE ≈ 7.7°C), while ECOSTRESS exhibited the highest positive bias and spatial variability. …”
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  11. 4391
  12. 4392
  13. 4393

    Association between blood urea nitrogen to albumin ratio and diabetic retinopathy: insights from the US National Health and Nutrition Examination Survey by Fei-Fei Dai, Jian-Dong Pan, Xiao-Jie He

    Published 2025-06-01
    “…Subgroup analysis showed no statistically significant interactions between BAR and most other risk factors for DR. CONCLUSION: The study provides evidence of a positive association between elevated BAR levels and an increased risk of DR in diabetic individuals.…”
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  14. 4394

    Weighing The Options: The Unseen Companion in LAMOST J2354 is Likely a Massive White Dwarf by Michael A Tucker, Adam J. Wheeler, Dominick M. Rowan, Mark E. Huber

    Published 2025-05-01
    “…An ultraviolet spectrum is the most promising avenue for directly detecting the white dwarf companion.…”
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  15. 4395

    Comparison of methodologies for flow prediction through teleconnection indices. Case study: Paute river basin by Maria Daniela Gonzalez, Dario Xavier Zhina, Alexandra Guanuchi-Quito, Alex Aviles-Anazco

    Published 2023-10-01
    “…Teleconnection indices are not sufficient when used as the only input variable for download modeling and prediction, giving mostly unsatisfactory results. …”
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  16. 4396

    Improved YOLOv8 Network of Aircraft Target Recognition Based on Synthetic Aperture Radar Imaging Feature by Xing Wang, Wen Hong, Yunqing Liu, Guanyu Yan, Dongmei Hu, Qi Jing

    Published 2025-05-01
    “…The grayscale images of passenger aircraft targets obtained via Synthetic Aperture Radar (SAR) have problems such as complex airport backgrounds, significant speckle noise, and variable scales of targets. Most of the existing deep learning-based target recognition algorithms for SAR images are transferred from optical images, and it is difficult for them to extract the multi-dimensional features of targets comprehensively. …”
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  17. 4397

    Análisis técnico-económico para selección de aspersores Technical and economical analysis for sprinkler selection by Eduardo A. Holzapfel, Ximena M. Pardo, Vital P. da S. Paz, Antonieta Rodrigues, Ximena C. Orrego, Marco A. Lopez

    Published 2007-12-01
    “…En el caso de los costos variables el caudal y la presión de trabajo son los factores más importantes a considerar. …”
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  18. 4398

    Risk Factors for Infection Associated with Ischemic Stroke in Patients over 60 Years of Age by Alexis Suárez Quesada, Alexis Álvarez Aliaga, Andrés José Quesada Vázquez, Eduardo René Valdés Ramos, Ezequiel Ernesto López Espinosa

    Published 2024-09-01
    “…<strong>Foundation:</strong> infection associated with stroke is the most important medical complication because it increases both the morbidity and the mortality rate in the first 30 days after the event occurs. …”
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  19. 4399

    Therapeutic Burden as Predictor of Response to Baricitinib for Alopecia Areata in Real Life: Prospective Study by Daniel Muñoz-Barba, Alberto Soto-Moreno, Sofía Haselgruber-de Francisco, Manuel Sánchez-Díaz, Salvador Arias-Santiago

    Published 2025-07-01
    “…Results Forty-four patients with AA treated with baricitinib were included. Most were women (65.90%) with a mean age of 37.70 (16.10) years. …”
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  20. 4400

    Diversidad genética de germoplasma colombiano de zapallo (Cucurbita moschata Dúchesne Exp. Prior) by Vallejo C. F. A., Montes R. C, Baena G. D.

    Published 2004-12-01
    “…The most important characteristics to explain the variability were: days to first female and male flower, fruit width, fruit weight, flesh thickness, leaf pubescence dorsal and ventral surface, colour of leaf spots and seed size. …”
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