Showing 2,341 - 2,360 results of 3,741 for search '(( (source OR (resources OR sources)) utilization function ) OR ( sources utilization function ))', query time: 0.19s Refine Results
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    The Transformation of Pigment in Fruit Wine, Precise Control of Pigment Formation, and Their Effect on Product Quality by Xiang Tan, Mengfan Ding, Chen Wang, Linhua Huang, Junying Bai

    Published 2025-06-01
    “…In addition, biochemical changes produce a series of chemical derivatives that affect bioavailability and biological functions. This review summarizes the chemical basis, formation process, influencing factors, identification techniques, bioavailability, and bioactivity of fruit wine pigments, providing an important reference for the utilization of fruit resources and the development of high-quality fruit wine products.…”
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  4. 2344

    Unlocking iron: nutritional origins, metabolic pathways, and systemic significance by Zoha Imtiaz Malik, Muhammad Umer Ghafoor, Syed Hassan Bin Usman Shah, Juweria Abid, Umar Farooq, Abdul Momin Rizwan Ahmad, Abdul Momin Rizwan Ahmad

    Published 2025-08-01
    “…This review aims at providing a comprehensive analysis of iron’s dietary sources, metabolic role, physiological functioning, absorption enhancers and inhibitors, and systemic regulation, such as hepcidin’s role in iron homeostasis. …”
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    Medium- and Long-term Runoff Prediction Based on SMA-LSSVM by TIAN Jinghuan, LI Congxin, LI Ang

    Published 2022-01-01
    “…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
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    Whole-Genome Resequencing Analysis of Copy Number Variations Associated with Athletic Performance in Grassland-Thoroughbred by Wenqi Ding, Wendian Gong, Tugeqin Bou, Lin Shi, Yanan Lin, Xiaoyuan Shi, Zheng Li, Huize Wu, Manglai Dugarjaviin, Dongyi Bai

    Published 2025-05-01
    “…Copy number variation (CNV) is an important source of genetic variation. However, studies utilizing whole-genome sequencing to investigate CNVs in horse populations and their effects on traits remain relatively limited. …”
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  9. 2349

    Stacked ensemble model for accurate crop yield prediction using machine learning techniques by Ramesh V, Kumaresan P

    Published 2025-01-01
    “…Historically, such predictions have utilized diverse data sources, including agricultural, land, climatic, atmospheric, and other pertinent information. …”
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    A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis by Jung Hyun Kim, Jaeyong Shin, Man S Kim, Jae Hoon Moon

    Published 2025-07-01
    “… Abstract BackgroundThe integration of wearable technology for heart rate monitoring offers potential advancements in managing hyperthyroidism by providing a feasible way to track thyroid function. Although digital health solutions are gaining traction in various chronic conditions, their cost-effectiveness in hyperthyroidism management requires deeper investigation. …”
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    Bioprospecting the Endophytic Fungus, <i>Lasiodiplodia theobromae</i> MMPI, for the Integrated Production of Mycoprotein and Exocellular (1→6)-β-Glucan by Marcelo Luis Kuhn Marchioro, Gabrielli Aline Pietro Bom Candeia, Luana Malaquias Bertoleti, Aneli M. Barbosa-Dekker, Robert F. H. Dekker, Mário Antônio Alves da Cunha

    Published 2025-03-01
    “…In response to the growing demand for alternative protein sources and functional biomolecules for industrial applications, this study investigated the production of mycoprotein and extracellular (1→6)-β-D-glucan (lasiodiplodan) by the fungus <i>Lasiodiplodia theobromae</i> MMPI, establishing an integrated biotechnological platform. …”
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  15. 2355

    Structural optimization and performance evaluation of a sugarcane leaf mulching machine by Weihua Huang, Shuo Wang, Chang Ge, Lijiao Wei, Dongjie Du, Zhaojun Niu, Ming Li, Zhenhui Zheng

    Published 2025-12-01
    “…This study provides a valuable reference for advancing sugarcane leaf mulching machine performance and offers insights into more effective utilization of sugarcane leaf resources.…”
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  16. 2356

    Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

    Published 2025-03-01
    “…This design can introduce the self-attention mechanism from the three dimensions of scale, space, and task, significantly improving the detection accuracy of the model while avoiding the additional computational burden. In terms of loss function, this paper introduces a combination of SIoU loss and NWD (normalized Gaussian Wasserstein distance) loss. …”
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    Identification of mesoscale eddies based on improved YOLOv8 model: a case study in the South China Sea by Jianhao Gao, Jianhao Gao, Jianhao Gao, Feng Zhou, Feng Zhou, Feng Zhou, Di Tian, Di Tian, Muping Zhou, Muping Zhou, Hailong Guo

    Published 2025-04-01
    “…Accurate identification of mesoscale eddies is crucial for a deeper understanding of ocean internal dynamics, the development of marine resources, and the prediction of changes in the marine environment. …”
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