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  1. 661

    Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV by Cheng Peng, Guanyu Qiao, Bing Ge

    Published 2025-02-01
    “…Unknown variables in the environment, such as wind disturbance during a flight, affect the accurate trajectory of multi-rotor UAVs. …”
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  2. 662

    TECTONIC POSITION OF MINGLING DYKES IN ACCRETION-COLLISION SYSTEM OF EARLY CALEDONIDES OF WEST SANGILEN (SOUTH-EAST TUVA, RUSSIA) by Irina V. Karmysheva, Vladimir G. Vladimirov, Aleksander G. Vladimirov, Roman A. Shelepaev, Vladislav A. Yakovlev, Elena A. Vasyukova

    Published 2015-10-01
    “…However, mingling of the contrasting melts was carried out by different mechanisms as suggested by the proposed intrusion models.In the area between the Erzin and Naryn rivers (Strelka Site), the host rock of the composite dykes is granite of the Nizhneerzin massif. …”
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  3. 663
  4. 664

    Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study by Xiao-Qin Luo, Ning-Ya Zhang, Ying-Hao Deng, Hong-Shen Wang, Yi-Xin Kang, Shao-Bin Duan

    Published 2025-01-01
    “…The Boruta algorithm was used to select the most important predictor variables from 53 candidate variables. The eXtreme Gradient Boosting algorithm was applied to establish a prediction model for MAKE30. …”
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  5. 665
  6. 666

    Unlocking Nature’s Potential: Modelling <i>Acacia melanoxylon</i> as a Renewable Resource for Bio-Oil Production through Thermochemical Liquefaction by Sila Ozkan, Henrique Sousa, Diogo Gonçalves, Jaime Puna, Ana Carvalho, João Bordado, Rui Galhano dos Santos, João Gomes

    Published 2024-09-01
    “…Reaction time, reaction temperature, as well as catalyst concentration, were chosen as independent variables. The resulting model exhibited very good results, with a highly adjusted R-squared (1.000). …”
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  7. 667

    Multiphase Reactions of Hydrocarbons Into an Air Quality Model With CAMx‐UNIPAR: Impacts of Humidity and NOx on Secondary Organic Aerosol Formation in the Southern USA by Yujin Jo, Myoseon Jang, Azad Madhu, Jiwon Choi, Jinsoo Park

    Published 2024-10-01
    “…Both UNIPAR and SOAP showed similar tendencies in SOA mass but slightly underpredicted against observations at given five ground sites. However, SOA compositions and their sensitivity to environmental variables (sunlight, humidity, NOx, and SO2) were different between two models. …”
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  8. 668

    Improving the Universal Performance of Land Cover Semantic Segmentation Through Training Data Refinement and Multi-Dataset Fusion via Redundant Models by Jae Young Chang, Kwan-Young Oh, Kwang-Jae Lee

    Published 2025-08-01
    “…Various semantic segmentation models have been introduced to segment land cover from aerial or satellite images, and remarkable results have been achieved. …”
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  9. 669

    Modeling and optimization of essential oils and extracts for meat quality evaluation during storage, with high-performance liquid chromatography analysis of aflatoxin levels by Sarah Alharthi, Sarah Alharthi, Rokayya Sami, Hilary Uguru, Ruqaiah I. Bedaiwi, Awatif M. Almehmadi, Suzan A. Abushal, Roqayah H. Kadi, Buthaina M. Aljehany, Eman A. Abduljawad, Abeer A. Aljehani, Sarah S. Aggad, Sarah A. Alasmari, Dalal A. Alkhudhayri, Fayez Alsulaimani, Fayez Alsulaimani, Ahmed M. Basri, Ahmed M. Basri

    Published 2025-07-01
    “…The dried meat (beef) samples were treated with onion peels extract (OPE), onion peels oil (OPO), plantain peels extract (PPE), and plantain peels oil (PPO), in accordance with concentrations and hybridization levels, provided by Central Composite Design (CCD) model. Two basic independent variables – treatment type and storage time – were evaluated, to establish their impact on six responses: total bacterial viable content (TBC), Staphylococcus aureus, Salmonella spp., total viable fugal content (TFC), aflatoxin B1 and aflatoxin B2. …”
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  10. 670
  11. 671

    The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates by Christian Emeka Okafor, Christopher Chukwutoo Ihueze

    Published 2021-04-01
    “…A standard feed-forward backpropagation network was adopted and the ANN model consists of stacking sequence, laminate aspect ratio and fiber orientation as input variables while the selected network outputs variables include average stress and displacement. …”
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  12. 672

    Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study. by Kristin E Wickstrøm, Valeria Vitelli, Ewan Carr, Aleksander R Holten, Rebecca Bendayan, Andrew H Reiner, Daniel Bean, Tom Searle, Anthony Shek, Zeljko Kraljevic, James Teo, Richard Dobson, Kristian Tonby, Alvaro Köhn-Luque, Erik K Amundsen

    Published 2021-01-01
    “…<h4>Conclusions</h4>The performance of the four prediction models was variable. The Xie model had the best discrimination for mortality, while the Allenbach model had acceptable results for prediction of severe disease.…”
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  13. 673
  14. 674

    Indonesian Stocks’ Volatility during COVID-19 Waves: Comparison between IHSG and ISSI by Muhammad Syauqy Alghifary, Dzuliyati Kadji, Iffah Hafizah

    Published 2023-01-01
    “…The performance was measured by analyzing the volatility of the Indonesian Sharia Stock Index (ISSI) and the Composite Stock Price Index (IHSG) during the COVID-19 pandemic. …”
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  15. 675
  16. 676

    Optimizing GBM organoid construction with hydrogel-based models: GelMA-HAMA scaffold supports GBM organoids with clonal growth for drug screening by Min Zhou, Ke Yue, Jingjing Zhao, Shuhua Gong, Yutong Xie, Wenyu Wu, Zhenzhou Li, Shuo Wu, Zhengliang Gao, Huan Wang, Jianrong Guo

    Published 2025-06-01
    “…However, Matrigel, the most used extracellular matrix, is animal-derived with a complex composition and significant batch-to-batch variability, requiring further optimization for GBM organoid construction. …”
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  17. 677
  18. 678

    Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model by Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi

    Published 2025-10-01
    “…The model integrates key mix parameters such as material proportions, curing conditions, and the chemical composition of FA/GGBS binders, making it chemistry-informed. …”
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  19. 679

    GIS-based modeling and analytical approaches for groundwater quality suitability for different purposes in the Egyptian Nile Valley, a case study in Wadi Qena by Hanaa A. Megahed, Abd El-Hay A. Farrag, Amira A. Mohamed, Mahmoud H. Darwish, Mohamed A. E. AbdelRahman, Heba El-Bagoury, Paola D’Antonio, Antonio Scopa, Mansour A. A. Saad

    Published 2025-02-01
    “…Chemical analysis of the major cations and anions was carried out at Assuit’s Regional Soil Fertility Laboratory. Maps of chemical variables are created using statistical tools by combining observations with interpolation models that can incorporate simple process relations. …”
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  20. 680