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    Ecotoxicological assessment of the application of chemical products of plant protection against pests by S. Mostoviak, I. Mostoviak, O. Borzykh, V. Fedorenko

    Published 2022-09-01
    “…The most common in Ukraine are preparations based on active agent chlorpyrifos (743.0 thousand kg/ year), active agent dimethoate (95 thousand kg/ year) and active agent lambda-cyhalothrin (80.2 thousand kg/ year), which are stable in soil and according to the indicator of acute oral toxicity are classified as hazard classes 2 and 3. The most common acaricides against ticks are those based on active agent clofentezine and pyridaben (3.01 and 3.08 thousand kg/ year, respectively). …”
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  13. 27733

    Chandra Discovery of a Candidate Hyperluminous X-Ray Source in MCG+11-11-032 by Adi Foord, Francesca Civano, Julia M. Comerford, Martin Elvis, Giuseppina Fabbiano, Tingting Liu, Elisabeta Lusso, Stefano Marchesi, Mar Mezcua, Francisco Muller-Sanchez, Rebecca Nevin, Kristina Nyland

    Published 2025-01-01
    “…Further analysis shows evidence for a compact hard source—MCG+11-11-032 X2—located 3 $\mathop{.}\limits^{\unicode{x02033}}$ 3 from the primary AGN. …”
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  14. 27734

    Diagnostic value of the saliva immunoglobulin free light chains concentrations measured in primary Sjцgren's syndrome by E. S. Kuvardin, I. V. Kholopova, E. A. Belyakova, I. N. Grigoryeva, A. V. Masing, O. Yu. Tkachenko, I. A. Bekhtereva, A. L. Maslyansky, Yu. A. Krivolapov, S. V. Lapin

    Published 2023-02-01
    “…PSS was diagnosed according to the 2016 ACR/EULAR classification criteria. The control group consisted of 11 healthy volunteers. …”
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  15. 27735

    The attention of students during physical education class based on academic performance (La atención de los estudiantes durante la clase de educación física basada en el rendimien... by Jorge Manuel Folgado dos Santos, João Manuel Patricio Duarte Petrica, João Júlio Matos Serrano, Marco Alexandre da Silva Batista, Samuel Alexandre de Almeida Honório, Luis Alberto Coelho Rebelo Maia

    Published 2020-07-01
    “…The study involved 156 students from the 3th cycle of basic education, aged between 12 and 16 years old ( 16vó">  = 14,7 ± 1,3) evaluated in four different sports taught in the discipline of physical education (athletics, gymnastics, basketball and football), and in four moments of the class. …”
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  16. 27736

    Значение экспрессии белка PD-L1 в комбинированной прогностической модели диффузной В-крупноклеточной лимфомы... by Светлана Валерьевна Самарина, Н. Ю. Семенова, Н. В. Минаева, Д. А. Дьяконов, В. А. Росин, Е. В. Ванеева, С. В. Грицаев

    Published 2021-07-01
    “…Медиана возраста составила 59 лет (1–3-й квартиль 29–83 года). Каждый пациент получил не менее 2–6 курсов иммунохимиотерапии R-СHOP. …”
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  17. 27737

    Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

    Published 2025-05-01
    “…[Results] The residual error of the model were 3.6-3.7 days, and the correlation coefficient were 0.97, so the models had high reliability; The model was further verified with blind test data set of two-year's phenological ecological characteristics, and the correlation coefficient was between 0.98-0.99. …”
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  18. 27738

    Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

    Published 2025-02-01
    “…This study adopts a hierarchical method of three layers based on double quantum‐inspired grey wolf optimisation (QGWO) to improve the LSTM model (HD‐QGWO‐LSTM) for a one‐step LMPF. …”
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  19. 27739
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    Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation by Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Leondry Mayeta-Revilla, Eduardo P. Cavieres, Eduardo P. Cavieres, Eduardo P. Cavieres, Matías Salinas, Matías Salinas, Matías Salinas, Diego Mellado, Diego Mellado, Diego Mellado, Diego Mellado, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Sebastian Ponce, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Francisco Torres Moyano, Steren Chabert, Steren Chabert, Steren Chabert, Marvin Querales, Marvin Querales, Julio Sotelo, Rodrigo Salas, Rodrigo Salas, Rodrigo Salas

    Published 2025-04-01
    “…Although Deep Learning (DL) models offer strong performance in tumor detection and segmentation using MRI, their black-box nature hinders clinical adoption due to a lack of interpretability.MethodsWe present a hybrid AI framework that integrates a 3D U-Net Convolutional Neural Network for MRI-based tumor segmentation with radiomic feature extraction. …”
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