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  1. 1521

    Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia by O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin

    Published 2024-12-01
    “…On the basis of a set of data from 750 swallows and therefore 6750 manometric parameters, the artificial intelligence models DecisionTreeClassifier, RandomForestClassifier and CatBoostClassifier have been trained to provide a manometric diagnosis. …”
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  2. 1522

    Teleconnections detection of land use carbon emissions beyond geographical proximity promotes the construction of cross-city networks by Lei Shen, Yinghong Jiang, Duanqiang Zhai, Peng Wang

    Published 2025-01-01
    “…Then a complex network model is used to construct the spatial correlation strength, network structure, and network clustering among cities to identify spatial associations between cities within the YRDUA. Finally, the CatBoost machine learning regression model is used to analyze the factors influencing LUCE. …”
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  3. 1523

    Classification of Nanomaterial Drug Delivery Systems for Inflammatory Bowel Disease by Wang H, Zhou F, Shen M, Ma R, Yu Q

    Published 2025-02-01
    “…These formulations can enhance a drug’s pharmacokinetics by modifying its properties, improve its ability to cross barriers, and boost bioavailability. In addition, NDDS can enable targeted delivery, increase local drug concentrations, improve efficacy, and reduce side effects, as well as protecting active drug molecules from immune recognition and protease degradation. …”
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  4. 1524

    An Effective Flocculation Method to the Kaolin Wastewater Treatment by a Cationic Polyacrylamide (CPAM): Preparation, Characterization, and Flocculation Performance by Badradine Zakaria Djibrine, Huaili Zheng, Moxi Wang, Shuang Liu, Xiaomin Tang, Sarfaraz Khan, Andrea Navarro Jimenéz, Li Feng

    Published 2018-01-01
    “…Kaolin wastewater flocculation test outcome reveals that the PAD with high cationic degree and intrinsic viscosity could boost the charge neutralization and bridging capability. …”
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  5. 1525

    ARTEMISIA SIEVERSIANA WILLD. IN TRANSBAIKALIA: FEATURES OF CENOFLORA AND INTRASPECIFIC VARIABILITY by A. B. Sakhyaeva, B. B. Namzalov

    Published 2018-09-01
    “…Species of the mesophyte group (15%) are  represented by medium-scale percentage; these are mostly the  plants of more moderately moist soils. According to the ratio of geographic elements, meadow-steppe and steppe Eurasian  (23%), polyzonal (weedy), and Holarctic (20%) species dominate in  the cenoflora of A. sieversiana communities, with Central Asian  desert-steppe species (14%) also present. …”
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  6. 1526

    Emodin Improves Juvenile Largemouth Bass (<i>Micropterus salmoides</i>) Liver Health Through Nrf2/NF-κB Pathway and Fat Metabolism: Growth Performance, Immune Response and Resistan... by Zhenxin Zhao, Fei Zhao, Tianxun Luo, Zhou Zhou, Xianbo Zhang

    Published 2025-01-01
    “…Additionally, EM-1000 could up-regulate the expressions of nuclear factor erythroid 2-associated factor 2 (<i>Nrf2</i>) and heme oxygenase-1 (<i>HO-1</i>) in livers compared with controls and boost antioxidant enzymes activities of superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), and catalase (CAT), along with a lower content of reactive oxygen species (ROS) and malondialdehyde (MDA). …”
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  7. 1527

    Sustainability of Mahogany Production in Plantations: Does Resource Availability Influence Susceptibility of Young Mahogany Plantation Stands to Hypsipyla robusta Infestation? by C. B. Darko, E. Opuni-Frimpong, S. A. Owusu, B. Kyere, A. J. Storer

    Published 2022-01-01
    “…Four Meliaceae species (Khaya grandifoliola, K. ivorensis, Swietenia macrophyla, and Entandrophragma cylindricum) were established in a moist semideciduous forest in Ghana to study this selectivity at 12 and 21 months after planting. …”
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  8. 1528

    The effect of water content in soil media on the hatchability of Bractocera dorsalis pupae by Leksono Amin Setyo, Yanuwiadi Bagyo, Rizali Akhmad, Gama Zulfaidah Penata, Agustina Dwi Kameluh, Tesari Tasafima, Zatim Aufa, Imam Muhamad

    Published 2025-01-01
    “…Entomopathogenic fungi need a moist environment to grow optimally. This study aims to evaluate the effect of adding water to soil media on the success of B. dorsalis pupae becoming imago. …”
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  9. 1529

    Interleukin-12p70 Expression by Dendritic Cells of HIV-1-Infected Patients Fails to Stimulate gag-Specific Immune Responses by Ellen Van Gulck, Nathalie Cools, Derek Atkinson, Lotte Bracke, Katleen Vereecken, Marc Vekemans, Viggo F. I. Van Tendeloo, Zwi N. Berneman, Guido Vanham

    Published 2012-01-01
    “…A variety of immune-based therapies has been developed in order to boost or induce protective CD8+ T cell responses in order to control HIV replication. …”
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  10. 1530

    Exploring the impact of robot interaction on learning engagement: a comparative study of two multi-modal robots by Ka Yan Fung, Kwong Chiu Fung, Tze Leung Rick Lui, Kuen Fung Sin, Lik Hang Lee, Huamin Qu, Shenghui Song

    Published 2025-01-01
    “…Multi-modal robots can boost engagement and motivation in students with and without dyslexia through novelty and cognitive load management. …”
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  11. 1531
  12. 1532

    Evaluation of Nutritional and Antinutritional Properties of African Yam Bean (Sphenostylis stenocarpa (Hochst ex. A. Rich.) Harms.) Seeds by Taofeek T. Adegboyega, Michael T. Abberton, AbdelAziz H. AbdelGadir, Mahamadi Dianda, Busie Maziya-Dixon, Olaniyi A. Oyatomi, Sam Ofodile, Olubukola O. Babalola

    Published 2020-01-01
    “…It is suggested to have the potential to significantly boost food security in sub-Saharan Africa due to its considerable nutritional qualities but still yet underutilized. …”
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  13. 1533

    TCAD Simulation Study of Cylindrical Vertical Double-Surrounding-Gate a-InGaZnO FETs and Geometric Parameter Optimization by Yue Zhao, Lihua Xu, Chuanke Chen, Xufan Li, Kexin Shang, Di Geng, Lingfei Wang, Ling Li

    Published 2025-01-01
    “…For in-depth understanding of dimensional dependence, the surface potential of the channel and the electric field distribution near electrode are systematically investigated for an ultra-thin outer gate electrode, via considering spatial and geometric effects. These results will boost a design technology co-optimization flow of the future DSG-a-IGZO-FET-based extremely large-scale and high-density M3D memory.…”
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  14. 1534

    Precision Nutrient and Soil Tillage Management for Sustainable Winter Barley Production (<i>Hordeum vulgare</i> L.) and Tillage Impact on Soil CO<sub>2</sub> Emission by Amare Assefa Bogale, Zoltan Kende, Akos Tarnawa, Peter Miko, Marta Birkás, Gergő Péter Kovács, Attila Percze

    Published 2024-12-01
    “…Therefore, it can be concluded that the combination of bio-cereal nutrient treatments and plowing tillage can boost winter barley yields. Notably, soil CO<sub>2</sub> emissions peak during the crops’ reproductive stage, surpassing levels from early growth.…”
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  15. 1535

    ClimaWATCH: A new interactive tool for community heat-health vulnerability assessments by Aparna Keshaviah, Dheeya Rizmie, Huihua Lu, Mike Rudacille, Eric Morris, Colleen Psomas, Farid Qamar, Xindi C. Hu

    Published 2025-01-01
    “…Introduction: Extreme heat is the deadliest of all weather-related hazards, yet also the most preventable. To boost heat preparedness and response, officials need information on where heat-related health issues concentrate and how risks vary by demographic, social, environmental, and infrastructural factors. …”
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  16. 1536

    Gut Microbiome Modulation in Hepatocellular Carcinoma: Preventive Role in NAFLD/NASH Progression and Potential Applications in Immunotherapy-Based Strategies by Elisa Monti, Clara Vianello, Ilaria Leoni, Giuseppe Galvani, Annalisa Lippolis, Federica D’Amico, Sara Roggiani, Claudio Stefanelli, Silvia Turroni, Francesca Fornari

    Published 2025-01-01
    “…We also describe encouraging preclinical findings on the modulation of GM to improve liver functions in CLD, boost the antitumor immune response (e.g., probiotic supplementations or anti-hypercholesterolemic drug treatment), and ultimately delay NAFLD progression to HCC. …”
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  17. 1537

    Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

    Published 2025-01-01
    “…We aimed to develop a method for early prediction of tomato fruit size at harvest with machine learning algorithm, and three machine learning models (Ridge Regression, Extra Tree Regrreion, CatBoost Regression) were compared using the PyCaret package for Python. …”
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  18. 1538

    Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study by Rishishankar E. Suresh, M S Zobaer, Matthew J. Triano, Brian F. Saway, Parneet Grewal, Nathan C. Rowland

    Published 2024-12-01
    “…Background/Objectives: Noninvasive brain stimulation (NIBS) can boost motor recovery after a stroke. Certain movement phases are more responsive to NIBS, so a system that auto-detects these phases would optimize stimulation timing. …”
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  19. 1539

    A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

    Published 2024-07-01
    “…The software pipeline is implemented in Python using the Pandas, NumPy, OpenCV, SciPy, Sklearn, Umap, CatBoost and Plotly libraries. The source code is available at: https://github.com/igor2704/Hyperspectral_images. …”
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  20. 1540

    Evaluation of Diabetic Patients with Breast Cancer Treated with Metformin during Adjuvant Radiotherapy by Adam Ferro, Sharad Goyal, Sinae Kim, Hao Wu, Neil K. Taunk, Devora Schiff, Aneesh Pirlamarla, Bruce G. Haffty

    Published 2013-01-01
    “…Primary endpoints included the presence of a treatment break and development of dry or moist desquamation. Results. There was a statistically significant increase in treatment breaks for diabetic patients receiving concurrent metformin when compared to the nondiabetic patients (P value = 0.02) and a trend toward significance when compared to diabetic patients receiving an alternate diabetes medication (P value = 0.08). …”
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