Showing 2,121 - 2,140 results of 2,616 for search 'composition optimization model', query time: 0.16s Refine Results
  1. 2121

    Comparison of Fuzzy-AHP and ANP Decision Making Methods to Assess the Ecological Capability of Ecotourism Application (Case study: Dehloran National Natural Monuments) by Mohsen Tavakoli

    Published 2018-11-01
    “…Then, to combine the layers, the model of overlapping index or linear weight composition was used. 3-Results and Discussion Using the GIS on the slope of the linear reduction subscription function, the trajectory linear membership function layer and the temperature layer, an incremental linear membership function was applied. …”
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  2. 2122

    THEORETICAL ANALYSIS OF THE –ESSENCE OF PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN ANIMATION DESIGN by Dai Zhen

    Published 2020-12-01
    “…Professional training of the future animation designer can be represented in the model, the core of which is the formation of the content of professional education, which reflects the specifics of mastering the basics of animation, its artistic components. …”
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  3. 2123

    Synergistic effect of Co3O4/CdAl2O4 nanocomposite for photocatalytic decontamination of organic dyes under visible light irradiation by Zahra araei, Mohsen ghorbani

    Published 2025-07-01
    “…The experimental data fit well with this model, allowing calculation of the reaction rate constant and activation energy determination. …”
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  4. 2124

    Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

    Published 2025-07-01
    “…This algorithm surpasses step control methods optimized through particle swarm optimization and outperforms traditional TD3 reinforcement learning methodologies. …”
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  5. 2125

    A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

    Published 2025-06-01
    “…Additionally, within the patterns, clear parameter sensitivity and complex nonlinear relationships were identified (e.g., overlapping variables play a decisive role in determining the point count and completeness of surface patterns, with an adjusted R<sup>2</sup> ≈ 0.70; the results of circular patterns are strongly influenced by the interaction between radius and tilt angle on reprojection error and point count, with an adjusted R<sup>2</sup> ≈ 0.80). Furthermore, composite pattern analysis using TOPSIS identified excellent combinations that balanced multiple criteria, and Pareto optimization explicitly quantified the inherent trade-offs between conflicting objectives (e.g., time vs. accuracy, number of points vs. completeness). …”
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  6. 2126

    Process and Validation of Depletion Database Based on Evaluated Nuclear Data Libraries by LUO Hao, LI Jie, HUANG Shanfang, WANG Kan

    Published 2024-07-01
    “…Through in-depth analysis of fuel composition and irradiation processes, it is possible to assess reactor performance, predict fuel lifespan and behavior, and optimize fuel management strategies. …”
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  7. 2127

    Finely tailoring the local ensembles in heterostructured high entropy alloy catalysts through pulsed annealing by Kaizhu Zeng, Rong Hu, Jianwei Zhang, Xin Li, Yifan Xu, Xilong Mu, Hao Wu, Shijing Liu, Hanwen Liu, Jinli Chen, Zhiqiang Wang, Jihan Zhou, Zhiqiang Liang, Wang Gao, Dongshuang Wu, Yonggang Yao

    Published 2025-04-01
    “…However, conventional syntheses often result in either (kinetically) random-mixing HEA or (thermodynamically) phase-separated composites-both fail to fine-tune local structures and further optimizing their performances. …”
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  8. 2128

    Development and Characterization of Dual-Loaded Niosomal Ion-Sensitive In Situ Gel for Ocular Delivery by Viliana Gugleva, Rositsa Mihaylova, Katya Kamenova, Dimitrina Zheleva-Dimitrova, Denitsa Stefanova, Virginia Tzankova, Maya Margaritova Zaharieva, Hristo Najdenski, Aleksander Forys, Barbara Trzebicka, Petar D. Petrov, Denitsa Momekova

    Published 2024-12-01
    “…Cannabidiol (CBD) and epigallocatechin-3-gallate (EGCG) simultaneously loaded niosomes were prepared via the thin film hydration (TFH) method followed by pulsatile sonication and were subjected to comprehensive physicochemical evaluation. The optimal composition was included in a gellan gum-based in situ gel, and the antimicrobial activity, in vitro toxicity in a suitable corneal epithelial model (HaCaT cell line), and antioxidant potential of the hybrid system were further assessed. …”
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  9. 2129

    How to Better Use Canopy Height in Soybean Biomass Estimation by Yanqin Zhu, Fan Fan, Zhen Zhang, Xun Yu, Tiantian Jiang, Liming Li, Yadong Liu, Yali Bai, Ziqian Tang, Shuaibing Liu, Dameng Yin, Xiuliang Jin

    Published 2025-05-01
    “…The findings highlight the role of CH accuracy in AGB estimation and validate the value of growth-stage information in robust modeling. Future research should prioritize the refining of CH prediction and the optimization of composite variable construction to promote the application of this approach in agricultural monitoring.…”
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  10. 2130

    Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population by Jian Hu, Mengdie Wang, Linxi Zhu, Chengming Han, Qinglei Yang, Zhenlin Liu, Jing Song, Zhengkui Zhou, Shuisheng Hou, Wentao Cai

    Published 2025-08-01
    “…These findings highlight the potential of plasma biomarkers as auxiliary traits for genomic selection, particularly in optimizing feed efficiency and carcass composition, while underscoring the need for trait-specific model strategies.…”
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  11. 2131

    Structural Biomimetics of Non-smooth Pits for Ceramic Extruders and Its Reducing Adhesion and Resistance by Shengrui YU, Ping JI, Zhemin DAI, Lei XU, Zhihuan LIU, Wei LI, Huiting WU

    Published 2024-09-01
    “…Furthermore, a geometric model of the dung beetlex’s pit-shaped bionic structure is established for the extruder’s head. …”
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  12. 2132

    Genomic and functional characterization of a Butyricicoccus porcorum strain isolated from human gut microbiota by Ni Zhao, Peiling Geng, Alejandro Gaher Perez, Anakha Chandramana Maya, Brijesh Yadav, Yuxuan Du, Yong Ge

    Published 2025-08-01
    “…We identified a novel Butyricicoccus species within human gut microbiota and characterized its detailed intestinal functions using the C57BL/6 mouse model. Our findings may further highlight the genetic and functional diversities of the gut microbiome.…”
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  13. 2133

    Study of the physical-chemical and sorption properties of SnO<sub>2</sub> prepared by mechanochemical and microwave routes by M. M. Samsonenko, O. I. Zakutevskyy, S. V. Khalameida, J. Skubiszewska-Zięba, M. F. Kovtun

    Published 2018-11-01
    “…The initial sample corresponds to the composition tin oxohydroxide with gross formula Sn3O4(OH)4. …”
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  14. 2134

    Research on fault monitoring of belt conveyor based on FBG sensor by Xinqiu FANG, Yang WU, Yang SONG, Ningning CHEN, Yulong FENG, Haotian FENG, Dexing HE, Fukang QIAO

    Published 2025-01-01
    “…The influencing factors on sensitivity and accuracy are analyzed within the sensing model, guiding the determination of the structural dimensions of the sensing elements. …”
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  15. 2135

    Ameliorative Effect of Lacticaseibacillus paracasei Combined with Aerobic Exercise on Obesity in Mice by ZHAO Hanyi, CAO Sijia, QI Jianing, BIAN Yanqing, ZHANG Jiaqi, GAO Yuqi, FENG Zhaoyang, SUN Wenjing, XUE Yuling, WANG Yanhong, PENG Liping

    Published 2025-06-01
    “…Conclusion: The combined intervention with L. paracasei N1115 and aerobic exercise reduce body mass and liver fat content in mice, alleviate inflammatory response, improve learning and memory capacity, and optimize intestinal morphology and gut microbiota composition.…”
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  16. 2136

    Enhancing Methylene Blue Adsorption Performance of Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>@Sodium Alginate Foam Through Pore Structure Regulation by Yi Hu, Hongwei Wang, Xianliang Ren, Fang Wu, Gaobin Liu, Shufang Zhang, Haijun Luo, Liang Fang

    Published 2024-11-01
    “…In this work, spherical foam composites consisting of Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> and sodium alginate (SA) were synthesized via a vacuum freeze-drying technique. …”
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  17. 2137

    Biomimicry-Based Design of Underground Cold Storage Facilities: Energy Efficiency and Sustainability by Mugdha Kshirsagar, Sanjay Kulkarni, Ankush Kumar Meena, Danby Caetano D’costa, Aroushi Bhagwat, Md Irfanul Haque Siddiqui, Dan Dobrotă

    Published 2025-02-01
    “…Biomimetic strategies, inspired by termite mounds, gentoo penguin feathers, and beehive structures, are applied to minimize reliance on energy-intensive cooling systems. These natural models offer efficient thermal regulation, airflow optimization, and passive cooling mechanisms such as geothermal energy harvesting. …”
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  18. 2138

    Practical application of correlation-regression analysis results for predicting the quality of coiled rebar products by S. A. Savchenko, A. B. Sychkov

    Published 2025-04-01
    “…Additionally, regression dependencies were established to predict the mechanical properties of rebar based on the steel’s chemical composition and technological cooling parameters. These models can be used to optimize the air-cooling process for coiled rebar products to achieve the required microstructure and mechanical properties…”
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  19. 2139

    Accuracy and precision of diets fed to close-up cows on dairy farms and its association with early lactation performance by L.S. Gheller, C.A. Wagemann-Fluxá, T.J. DeVries

    Published 2024-12-01
    “…At each visit, samples of the close-up diet were collected and analyzed for DM content and chemical composition. Close-up diet formulations were also obtained by each farm's nutritionists. …”
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  20. 2140

    Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

    Published 2025-06-01
    “…The models integrate farm management practices and feed nutrient composition, providing a data-driven framework for optimizing performance. …”
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