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  1. 2421

    Design of a Morphing Aircraft Based on Model Predictive Control by Wei Ren, Yingjie Wei, Cong Wang

    Published 2025-04-01
    “…Considering the existence of composite disturbances during the morphing process, a robust model predictive control (RMPC) strategy is proposed, using set containment as the performance index. …”
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  2. 2422

    Measurement techniques new progress of atmospheric fine particles by XIE Zhibo, GUI Huaqiao*, ZHANG Jiaoshi, YANG Bo, KANG Shipeng, WEI Xiuli, YU Tongzhu, YANG Yixin, LIU Jianguo, LIU Wenqing

    Published 2023-04-01
    “…In this paper, the development and application of atmospheric fine particle measurement technology in recent years are reviewed based on the information of physical and chemical parameters such as atmospheric fine particle number concentration, particle size distribution and chemical composition. …”
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  3. 2423

    Geochemical characteristics of hot spring fluids in the Xunwu-Shicheng fault zone of southern Jiangxi by Fuqiang XIAO, Yongjun ZOU, Shuanglong ZHANG, Xing QI, Weidong XIAO

    Published 2025-03-01
    “…To reveal the geochemical characteristics and origin of hot spring fluids in the fault zone to support the geothermal resource exploration, hot spring water samples and gas samples from nine hot springs were collected. Water chemical composition, gas composition, and isotope analysis of the hot springs were tested by spectrophotometry, chromatography, mass spectrometry, etc. …”
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  4. 2424

    A Next-generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM,... by Tonmoy Deka, Tasneem Basra Khan, Swastik Dewan, Priyankush Ghosh, Debayan Das, Liton Majumdar

    Published 2025-01-01
    “…Accurate analysis of these data sets requires advanced retrieval frameworks capable of navigating complex parameter spaces. We present NEXOTRANS , an atmospheric retrieval framework that integrates Bayesian inference using UltraNest / PyMultiNest with four machine learning algorithms: Random Forest , Gradient Boosting , K-Nearest Neighbor , and Stacking Regressor . …”
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  5. 2425

    Optimization of Compressive Strength Properties in Fused Deposition Modeling 3D Printed PLA/HA Composites for Bone Tissue Engineering Applications by Shashwath Patil, T. Sathish, Nashwan Adnan Othman, Bashar Tarawneh, Taoufik Saidani

    Published 2025-05-01
    “…ABSTRACT This study investigates the optimization of 3D‐printed polylactic acid (PLA) and hydroxyapatite (HA) composites for biomedical applications, focusing on enhancing mechanical properties through process parameter optimization and surface modification. …”
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  6. 2426

    Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

    Published 2025-03-01
    “…A relevancy factor analysis quantified the influence of each input parameter on model outputs, whereas the Leverage technique identified outliers and defined the parameter ranges for optimal algorithm performance. …”
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  7. 2427

    Impact of Exercise Training at Maximal Fat Oxidation Intensity on Metabolic and Epigenetic Parameters in Patients with Overweight and Obesity: Study Protocol of a Randomized Contro... by Marco Antonio Hernández-Lepe, David Alfredo Hernández-Ontiveros, Isaac Armando Chávez-Guevara, Arnulfo Ramos-Jiménez, Rosa Patricia Hernández-Torres, Reymond Josué López-Fregoso, Omar Ramos-Lopez, Francisco José Amaro-Gahete, Raquel Muñiz-Salazar, Francisco Javier Olivas-Aguirre

    Published 2024-10-01
    “…<b>Expected Results:</b> This study will elucidate how FatMax, with or without resistance exercises, can enhance metabolic flexibility, increase fat oxidation, and improve body composition, evaluating changes in biochemical parameters (cholesterol, glucose, triglycerides, and inflammatory markers), metabolic biomarkers (determination of fat and carbohydrate utilization rates during rest and exercise), and epigenetic indicators (focusing on microRNAs associated with adipogenesis, inflammation, and fat metabolism). …”
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  8. 2428

    Mechanical properties of 3D-printed Onyx-fibreglass composites: Role of roof layers on tensile strength and hardness – Using anova technique by Boda Anil kumar, K.Shiva Kumar, A.Chennakesava Reddy

    Published 2025-07-01
    “…These findings highlight the importance of roof layer design in enhancing the performance of 3D-printed composites and provide practical insights for parameter optimization to meet the demanding requirements of aerospace, automotive, and construction applications.…”
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  9. 2429
  10. 2430

    Study of mechanical and physical properties of pineapple leaf fiber and coffee husk filler reinforced polymer composite using response surface method by Kinisa Wareso Abesho, Moera Gutu Jiru, Hirpa G. Lemu, Mohammed Abdulkedir Alfeki

    Published 2025-09-01
    “…This study fabricates composite samples using the hand layup method, and the Response Surface Methodology is used to optimize the experimental design. …”
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  11. 2431
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  13. 2433

    Thermodynamic calculation studies on oil composition and water presence effect on the minimum miscibility pressure of the CO2/two-components oil system by Hangyu Zang, Zeguang Dong, Zhongwen Zhang, Yingge Li, Dongxing Du

    Published 2025-06-01
    “…Minimum Miscibility Pressure (MMP) is a key parameter for guiding the CO2 Enhanced Oil Recovery (EOR) as well as carbon geological storage applications. …”
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  14. 2434

    The Effect of Additional Night and Pre-Harvest Blue and Red LEDs and White Lighting During the Day on the Morphophysiological and Biochemical Traits of Basil Varieties (<i>Ocimum b... by Inna V. Knyazeva, Olga Panfilova, Oksana Vershinina, Ibrahim Kahramanoğlu, Alexander A. Smirnov, Andrey Titenkov

    Published 2025-07-01
    “…The effect of white and additional red and blue LED lighting at night (Blue-NLL, Red-NLL) and during the pre-harvest period (Blue-P-hLL, Red-P-hLL) on morphological and physiological parameters, elemental composition, content of polyphenols, and essential oils of purple basil cultivars ‘Ararat’ and green basil ‘Tonus’ grown in the hydroponic conditions of the climatic chamber was studied. …”
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  15. 2435

    Analysis of the Strength Development, CO<sub>2</sub> Emissions, and Optimized Low-Carbon Design of Fly-Ash-Enhanced Composite Concrete by Bo Yang, Yu Dong, Xiao-Yong Wang

    Published 2025-02-01
    “…The correlation coefficient between the predicted and actual strength values was 0.98208. The parameter analysis indicates that, for a given FA/(C + FA) ratio or curing duration, the relative strength of the concrete increases more rapidly with a lower W/(C + FA) ratio. …”
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  16. 2436

    Experimental Investigation and Machine Learning Modeling of Tribological Characteristics of AZ31/B<sub>4</sub>C/GNPs Hybrid Composites by Dhanunjay Kumar Ammisetti, Bharat Kumar Chigilipalli, Baburao Gaddala, Ravi Kumar Kottala, Radhamanohar Aepuru, T. Srinivasa Rao, Seepana Praveenkumar, Ravinder Kumar

    Published 2024-11-01
    “…The main aim of the study is to study the effect of various wear parameters (reinforcement percentage (R), applied load (L), sliding distance (D), and velocity (V)) on the wear characteristics (wear rate (WR)) of the AZ91/B<sub>4</sub>C/GNP composites. …”
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  17. 2437
  18. 2438

    Evaluation of the physicochemical and microbiological quality of raw milk in the dairy industry of Napo, Ecuador by José Alberto de la Torres–Moreira, Milton Andrés Montalvo–Lozada, Joel Oswaldo Meza–Barrezueta, Verónica Gabriela Rivadeneyra–Espín, Kleber Alejandro Gallegos–Guerra, Kimberley Katiusca Villamarin

    Published 2025-06-01
    “…They explained the problem of insufficient monitoring of quality control systems for raw dairy, emphasizing microbiological parameters that influenced its safety, compositional factors, and the degree of microbial activity. …”
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