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  1. 861

    An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

    Published 2025-07-01
    “…SHAP (SHapley Additive exPlanations) analysis revealed that sound velocity, sound time, acoustic amplitude, concrete strength, and fly ash content were the most influential features for model predictions. …”
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  2. 862
  3. 863

    Phytochemicals, Nutritional and Elemental Composition of different plant parts of Rinorea oblongifolia (C.H Wright) C. Marquand ex Chipp by Adeniyi Ohunayo, Olusola Elekofehinti, Muftau Kolawole Oladunmoye, Anthony Kayode Onifade

    Published 2024-12-01
    “…Proximate analysis showed that the leaves had the highest moisture (9.17%), crude protein (9.91%), and carbohydrate (75.26%) contents, while roots had the highest ash (2.45%) and crude fat (4.61%). Mineral analysis showed that the roots were rich in iron, calcium, and copper, while leaves contained more potassium, sodium, phosphorus, and magnesium. …”
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  4. 864

    Preservation, production, and packaging optimization in SMEs: A study on 'Keripik Lumba-Lumba' by Ismianti Ismianti, Ibnu Fahrul Rahman, Amorette Garnetta Lasmana, Eka Nur Anisah

    Published 2024-12-01
    “…Wooden boxes were also provided in the truck for separating containers, these wooden boxes were lined with a solid mixture of KMnO4, clay, and ash. To solve the problem of the production process within ‘Keripik Lumba-Lumba’, the job design system can be changed to schedule and allocate employees according to their respective tasks. …”
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  5. 865

    The Effect of Kecombrang (Etlingera elatior) Extract Addition on Characteristics of Kefir by Rifda Naufalin, Triana Setyawardani, Ridha Nur Fadhila Gunawan

    Published 2024-12-01
    “…Cow's milk kefir incorporated with 7.5% kecombrang flower extract contained 90.6% water, 0.99% ash, 2.19% fat, 6.82% protein, and 0.6% carbohydrates, all of which comply with CODEX STAN 243-2003.…”
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  6. 866

    Predicting the Compressive Strength of High-Performance Concrete utilizing Radial Basis Function Model integrating with Metaheuristic Algorithms by LiWei Hu

    Published 2025-01-01
    “…To improve the mechanical properties has been added some additives, such as water-cement ratio, fly ash, and blast furnace slag. However, achieving a suitable mix design of HPC is complex, time, and energy-consuming. …”
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  7. 867

    Process optimization of vegan prebiotic ice cream by response surface methodology by Sakshi K. Devalekar, Iranna S. Udachan

    Published 2025-01-01
    “…Physico-chemical analysis indicated that the optimized ice cream had higher moisture (66.32%), ash (1.65%), fat content (18.5%), total phenols (79.85 mg GAE/100 ml), and antioxidant activity (54.80) compared to the control, whereas protein (2.93%) and carbohydrate content (10.60%) were lower. …”
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  8. 868
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  10. 870
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  12. 872

    Effect of Breed on the Composition of Cow Milk under Traditional Management Practices in Ado-Ekiti, Nigeria by K Adesina

    Published 2013-07-01
    “…Representative samples of milk obtained from four cows of each breed were bulked separately and analysed for proximate, mineral and amino acids composition. The ash, protein and lactose contents of the milk did not differ significantly among the three cow breeds. …”
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  13. 873
  14. 874

    Effect of Breed on the Composition of Cow Milk under Traditional Management Practices in Ado-Ekiti, Nigeria by K Adesina

    Published 2013-07-01
    “…Representative samples of milk obtained from four cows of each breed were bulked separately and analysed for proximate, mineral and amino acids composition. The ash, protein and lactose contents of the milk did not differ significantly among the three cow breeds. …”
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  15. 875

    Bio-deterioration of sweet potato (<i>ipomoea batatas lam</i>) in storage, inoculation-induced quality changes, and control by modified atmosphere by Oyeyipo Olutimilehin Olaitan

    Published 2013-07-01
    “…Inoculation of samples with the four prevalent rot fungi significantly (p = 0.05) increased crude protein, lipid and ash content. In contrast, there was a significant decrease in carbohydrate and moisture content when compared with the controls. …”
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  16. 876

    Grouting Reinforcement Mechanism and Multimodel Simulation Analysis of Longwall Goaf by Xueliang Li, Xiaoli Guo, Guang Sun

    Published 2021-01-01
    “…On the basis of discussion of the deformation mechanism and evolution law of the longwall goaf, this article comprehensively analyzed the grouting reinforcement mechanism of the goaf combined with filling theory, permeability theory, and fracturing theory and studied the physical and chemical reaction principles of two commonly used filling materials, cement-fly ash slurry and cement-clay slurry. Three grouting models have been established: whole grouting, local grouting in fracture zone, and strip grouting, and then simulated the grouting effect of the two more common methods of whole grouting and strip grouting by numerical simulation software (FLAC3D, tecplot, Surfer). …”
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  17. 877
  18. 878

    Optimized Design of Polyethylene Fiber-Engineered Cementitious Composite Mix Ratio Based on the Analytic Hierarchy Process by Fengxia Han, Qing Liu, Xin Guo, Yanfeng Niu

    Published 2022-01-01
    “…The optimum mixture ratio of 30% fly ash and 0.27 water-binder ratio were obtained. The results demonstrate the applicability and rationality of the AHP theory. …”
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  19. 879

    Moving Bed Gasification of Low Rank Alaska Coal by Mandar Kulkarni, Rajive Ganguli

    Published 2012-01-01
    “…A nonslagging moving bed gasifier would have to be limited to an oxygen-coal ratio of 0.26 to operate below the ash softening temperature. Slagging moving bed gasifiers, not limited by operating temperature, could achieve carbon conversion efficiency of 99.5% at oxygen-coal ratio of 0.33. …”
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  20. 880

    Prediction and policy: Do empirical gross calorific value prediction help reduce coal testing overload? by Saroj K Sadangi, Rudra P Pradhan

    Published 2025-01-01
    “…Global researchers have previously devised a plethora of empirical formulae predicting GCV based on its correlations with easy-to-measure properties like moisture and ash content. However, the applicability and utility of these formulae to the prevalent policy matrix of coal and power sector remain to be explored. …”
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