Showing 1,101 - 1,120 results of 10,078 for search '(source OR sources) optimization', query time: 0.24s Refine Results
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  3. 1103

    Tundish Deskulling Waste as a Source of MgO for Producing Magnesium Phosphate Cement-Based Mortars: Advancing Sustainable Construction Materials by Anna Alfocea-Roig, David Vera-Rivera, Sergio Huete-Hernández, Jessica Giro-Paloma, Joan Formosa Mitjans

    Published 2025-06-01
    “…This research focuses on the development of mortars with different water/cement ratios employing an alternative cement, specifically magnesium phosphate cement (MPC) formulated with secondary sources. The goal of this research relays in developing mortars based on MPC by using waste from the metallurgical industry, named tundish deskulling waste (TUN), as an MgO source. …”
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  4. 1104

    Comprehensive Review of Alternative Proteins in Pet Food: Research Publications, Patents, and Product Trends in Plant, Aquatic, Insect, and Cell-Based Sources by Phatthranit Klinmalai, Pitiya Kamonpatana, Arisara Thongpech, Janenutch Sodsai, Khwanchat Promhuad, Atcharawan Srisa, Yeyen Laorenza, Attawit Kovitvadhi, Sathita Areerat, Anusorn Seubsai, Shyam S. Sablani, Nathdanai Harnkarnsujarit

    Published 2025-07-01
    “…The increasing demand for sustainable pet-food solutions has driven interest in alternative protein sources, as researchers seek to avoid allergenic foods while maintaining optimal pet nutrition. …”
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  5. 1105

    Monsoon-Driven Dispersal of River-Sourced Floating Marine Debris in Tropical Semi-Enclosed Waters: A Case Study in the Gulf of Thailand by Kittipong Phattananuruch, Tanuspong Pokavanich

    Published 2024-12-01
    “…Findings from this study suggest that the GoT, as an example of a tropical semi-enclosed sea, functions as both a sink and a source for FMD. These results could support the development of strategic seasonal cleanup frameworks, optimizing efforts during peak debris accumulation periods to enhance management efficiency. …”
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    Large-Scale Urban 3D Geological Modeling Based on Multi-Method Coupling Under Multi-Source Heterogeneous Data Conditions by Jixiang Zhu, Xiaoyuan Zhou, Lizhong Zhang

    Published 2024-12-01
    “…Therefore, determining how to formulate or optimize the 3D geological modeling schemes to enhance the utilization of multi-source heterogeneous data is a key challenge in current urban 3D geological modeling. …”
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  9. 1109

    Communication Link Analysis of a Low-Earth Orbit Satellites Considering Interference Sources Moving Along Various Parabola-Curved Paths by Hyunmu Kang, Eunjung Kang, Hosung Choo

    Published 2024-12-01
    “…We analyze the communication link of an LEO satellite considering interference sources moving along various parabola-curved paths. …”
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  10. 1110
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    Spatio-temporal dynamics of water quality and land use in the Lake Dianchi (China) system: A multi-source data-driven approach by Xinyu Wang, Yawen Wu, Samuel A. Cushman, Cheng Tie, Gillian Lawson, László Kollányi, Guifang Wang, Jian Ma, Jingli Zhang, Tian Bai

    Published 2025-06-01
    “…Land use was assessed using a multi-dimensional framework incorporating weighted overlays of multi-source data. The relationships between land use and water quality were analyzed using Spearman correlation, redundancy analysis (RDA), and the Optimal Parameter Geodetector (OPGD). …”
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  12. 1112

    eLogUp! A precise, affordable and open-source IoT data logger to scale-up long-term environmental monitoring by Franck Perret, Ilane Cherif, Frédéric Cherqui, Nicolas Walcker, Adrien Barra, Bastien Bourjaillat, Laëtitia Bacot, Oldrich Navratil

    Published 2025-09-01
    “…is a low-cost, modular, and open-source data logger designed to support both research and operational environmental monitoring applications requiring accurate data recording and storage, efficient power management, and reliable data transmission. …”
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  13. 1113

    Phase field modeling for fracture prediction in goat tibia using an open-source quantitative computer tomography based finite element framework by Debangshu Paul, Zachariah Arwood, Pierre-Yves Mulon, Dayakar Penumadu, Timothy Truster

    Published 2025-06-01
    “…To make the process accessible and extensible, open-source software was utilized throughout the entire modeling process for the first time. …”
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  14. 1114
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    A Novel Protein Sourced from Chinese Medicine Residue for Golden Pompano Feed: Endothelium Corneum Gigeriae Galli Residue (ECGGR) by Ziqiao Wang, Rong Yao, Xuanshu He, Xin Cui, Zhihong Liao, Yantao Liu, Hanlin Wei, Zhenxiao Zhuang, Mengdie Chen, Jin Niu

    Published 2024-01-01
    “…Fishmeal is an important protein source in aquafeed. However, due to the limited natural resources, fishmeal is in short supply, resulting in a price surge for fishmeal. …”
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  16. 1116

    Evaluation of Yellow Mealworm (Tenebrio molitor) Larvae Meal as a Carbon Source in Biofloc System for Dwarf Crayfish (Cambarellus montezumae) Culture by Reyna Perla Paredes-Chávez, José Antonio Mata-Sotres, Rocío Parra-Laca, José Alberto Ramírez-Torrez, Daniel Becerril-Cortés, María del Carmen Monroy Dosta

    Published 2025-01-01
    “…The aim of this study was to evaluate the use of Tenebrio molitor larvae meal as a carbon source in a biofloc system (BFT) to optimize the culture of C. montezumae. …”
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    LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

    Published 2025-04-01
    “…A key contribution of this work is the integration of geospatial analytics into an interactive, open-source WebGIS environment—developed using Blender, QGIS, and Lizmap—to support predictive maintenance planning. …”
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  19. 1119

    Machine learning-based identification and assessment of snow disaster risks using multi-source data: Insights from Fukui prefecture, Japan by Zhenyu Yang, Hideomi Gokon, Qing Yu

    Published 2025-04-01
    “…This study, focusing on the 2018 Fukui snowstorm in Japan, integrates multi-source data, including mobile GPS data, Digital Elevation Model (DEM) data, road data, urban data, and traffic congestion data, to develop an interpretable model for quantifying high-risk areas and examining key nonlinear relationships and threshold effects influencing snowstorm impact occurrence, offering actionable insights for mitigation strategies. …”
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