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  1. 1481

    A review article on the assessment of additive manufacturing by Teshager Awoke Yeshiwas, Atalay Bayable Tiruneh, Milashu Asnake Sisay

    Published 2025-07-01
    “…Abstract Additive manufacturing (AM), commonly known as 3D printing, has revolutionized the manufacturing landscape by enabling layer-by-layer fabrication of complex geometries from digital models. This paper provides a comprehensive overview of the evolution, current capabilities, and future directions of AM. …”
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  2. 1482

    Development of hybrid aluminum nanocomposites for automotive applications: An in-depth analysis using experimental approaches and predictive machine learning techniques by Chitti Babu Golla, R. Narasimha Rao, Syed Ismail, Mutlu Özcan, P. Syam Prasad

    Published 2025-05-01
    “…This study integrates experimental characterization and machine learning (ML) to predict wear behavior and optimize composite design. AMHCs were synthesized using ultrasonic-assisted stir casting, incorporating 4 wt% titanium carbide (TiC) while varying graphite (Gr) content (0, 2, 4, and 6 wt%). …”
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  3. 1483

    Synthesis of novel magnesium ferrite Schiff base chitosan nanocomposite for efficient removal of pb(II) ions from aqueous media by Nada S. Al-Kadhi, Ehab A. Abdelrahman, Fowzia S. Alamro, Reem K. Shah, Fawaz A. Saad, Khalil ur Rehman

    Published 2025-02-01
    “…The adsorption process was determined to be spontaneous, endothermic, and chemically driven, aligning well with the Langmuir isotherm model and pseudo-second-order kinetics. The optimal conditions for maximum Pb(II) ions removal were determined to be a pH of 5.5, a contact time of 100 min, and a temperature of 328 K. …”
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  4. 1484

    Multi-Objective Optimization of Steel Slag–Ceramsite Foam Concrete via Integrated Orthogonal Experimentation and Multivariate Analytics: A Synergistic Approach Combining Range–Vari... by Alipujiang Jierula, Haodong Li, Tae-Min Oh, Xiaolong Li, Jin Wu, Shiyi Zhao, Yang Chen

    Published 2025-08-01
    “…Verification showed R<sup>2</sup> values exceeding 65% for both fluidity and CS predictions versus experimental data, confirming model reliability. Multi-criteria optimization yielded optimal compressive performance and suitable fluidity at a W/C ratio of 0.4, 10% steel slag replacement, and 25% ceramsite replacement.…”
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  5. 1485

    Modeling of Hydrogeochemical Processes of Carbon Dioxide Interaction with Formation Water and Rock Minerals During Enhanced Oil Recovery and Underground storage by D. S. Klimov, I. M. Indrupskiy, Ch. A. Garifullina, I. I. Ibragimov, A. A. Lutfullin, B. F. Zakiev, F. M. Akhmetzyanov

    Published 2024-07-01
    “…Application of hydrogeochemical modeling using PHREEQC software to study interaction of formation water, carbon dioxide and reservoir rock minerals during CO2 injection for enhanced oil recovery or underground storage is discussed. …”
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  6. 1486

    Integrating the circular economy model into the management and treatment of Fischer–Tropsch effluents—a conversion of waste to energy (biogas) opportunity by Mabatho Moreroa, Thapelo P. Malematja, Grace Nkechinyere Ijoma

    Published 2024-12-01
    “…However, since the chemical compositions of wastes vary with location and other parameters, future case studies should optimize the waste mixtures to determine the optimal balance before valorizing them.…”
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  7. 1487

    Enhancing proximal and remote sensing of soil organic carbon: A local modelling approach guided by spectral and spatial similarities by Qi Sun, Pu Shi

    Published 2025-05-01
    “…Different spectral similarity metrics, and weighted combinations of spectral and geographical similarity matrices were tested to optimize the selection of local training samples. As a result, the optimal modelling strategy, with partial least squares regression (PLSR) as the local fitting algorithm, consistently produced superior performances (R2: 0.66 to 0.82) than the conventional global modelling approach (R2: 0.59 to 0.77) for all three data types. …”
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  8. 1488

    Evaluating the Acceptance and Success of Mobile Banking Systems Using a Combination of UTAUT2 and Delone & McLean Models by Novrinda Khairun Nisak, Ali Ibrahim, Ermatita

    Published 2025-06-01
    “…The research employed the SemPLS method, chosen due to its ability to handle complex models with multiple latent variables and assess intricate relationships between constructs. …”
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    Article
  9. 1489

    Population pharmacokinetic and pharmacodynamic model guided weight-tiered dose of AST-001 in pediatric patients with autism spectrum disorder by Soyoung Lee, Su-Kyeong Hwang, Su-Kyeong Hwang, Jung-Sook Cho, Hyung Chul Ryu, Jae-Yong Chung, Jae-Yong Chung

    Published 2024-12-01
    “…The time courses of Korean-Vineland Adaptive Behavior Scale-II Adaptive Behavior Composite (K-VABS-II-ABC) scores were best described by an effect compartment model with linear drug effects (Deff, 0.0022 L/μg) and linear progression, where an equilibration half-life to the effect compartment was approximately 15 weeks. …”
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  10. 1490

    Assessing CNN and Semantic Segmentation Models for Coarse Resolution Satellite Image Classification in Subcontinental Scale Land Cover Mapping by Tesfaye Adugna, Wenbo Xu, Jinlong Fan, Haitao Jia, Xin Luo

    Published 2025-01-01
    “…Labeled datasets were collected as shapefiles and split into three independent datasets: training, validation, and test datasets, and preprocessed to meet each model&#x0027;s input format requirements. We conducted several experiments to optimize models and select the best models. …”
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  11. 1491

    Red, green, and blue model assessment and AQbD approach to HPTLC method for concomitant analysis of metformin, pioglitazone, and teneligliptin by Pintu Prajapati, Pooja Patel, Dhrumi Naik, Anzarul Haque, Shailesh Shah

    Published 2024-11-01
    “…Critical method parameters and response variables were modeled using the response surface modeling approach, which relies on the central composite design. …”
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  12. 1492

    An engineered adipose formulation decreases hepatic inflammation and fibrosis in a rodent model of metabolic dysfunction-associated steatotic liver disease by Youngshim Choi, Yinyan Ma, Samson Tom, Alla Danilkovitch, Liqing Yu

    Published 2025-06-01
    “…Future studies focused on the optimization of AF composition, optimal dose and treatment regimen are warranted.…”
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  13. 1493

    Optimization of process variables viz., temperature and time for vacuum concentration of pitahaya (Hylocereus polyrhizus) fruit juice, its effect on total soluble solids, water act... by M. X. Rosemary, G. J. Suresh, R. Venugopalan, K. R. Vasudeva, G. K. Sadananda, G. Karunakaran, G. S. K. Swamy

    Published 2025-02-01
    “…Statistical modelling confirms the reliability of the findings, offering practical insights for optimizing the vacuum concentration process of H. polyrhizus juice to enhance its quality and handling efficiency.…”
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  14. 1494

    Unveiling the photocatalytic activity of Cu/Fe2O3@gC3N4 nanosheet as an efficient fenton-like catalyst for reactive blue 19 removal: Optimization and kinetics studies by Donald Raoul Tchuifon Tchuifon, Cyrille Ghislain Fotsop, Sandrale Grace Mokue Mafo, Frank Dorinel Solefack Feudjio, Sanchez Dave Mouafo Dongmo, Nche George Ndifor-Angwafor

    Published 2025-06-01
    “…The results obtained confirmed that the material was indeed doped with Cu and Fe with a crystalline structure. A central composite design was used to optimize the degradation factors. …”
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  15. 1495

    TO DETERMINATION OF INFLUENCE FOR VARIATIONS IN LASER TREATMENT MODES ON TRIBOLOGICAL CHARACTERISTICS OF CUTTING TOOL by O. V. Diachenko, M. A. Kardapolova, O. V. Seriakova

    Published 2016-09-01
    “…In order to solve a problem for selection of optimal qualitative and subsequently quantitative composition of a multi-component coating a mathematical modeling method using Scheffe’s simplex lattices has been used in the paper. …”
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  16. 1496

    High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning by Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung

    Published 2025-07-01
    “…Our domain adaptation based machine learning model, which accounts for equipment wear and environmental variations, achieves a defect detection accuracy of 97.8% based on machine data and process conditions. …”
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  17. 1497

    Numerical Analysis of Multiple Factors Affecting Hydraulic Fracturing in Heterogeneous Reservoirs Using a Coupled Hydraulic-Mechanical-Damage Model by Tao Xu, Mingyang Zhai, Bo Huang, Liaoyuan Zhang, Aishan Li, Quansheng Zhang, Zilin Zhang, Lei Wang, Lianchong Li

    Published 2021-01-01
    “…Multifactor analysis can gain insight into the fracturing response of reservoirs and in turn optimize the treatment design. Based on characterizations of the geological setting of a heterogeneous glutenite reservoir, the hydraulic fracture (HF) initiation and propagation process, as well as the stimulated reservoir volume (SRV), were simulated and analyzed using a coupled hydraulic-mechanical-damage model. …”
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  18. 1498

    Modeling of the process of heating of chip‑powder dispersions of ferrous metals in the pass‑through muffle furnace of hot briquetting. Message 2 by O. M. Dyakonov, A. A. Litvinko, V. Yu. Sereda

    Published 2022-10-01
    “…The system of equations, which is a model of heat and mass transfer processes, is closed and allows us to solve the problem posed – to determine the heating temperature of the chips at the exit from the gas-flame heating zone, the composition and residual content of the liquid phase in it, and also to find the optimal height and temperature of the inductor muffle in induction heating zone, dimensions and electrical parameters of the inductor.…”
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  19. 1499

    Characteristics of Food Printing Inks and Their Impact on Selected Product Properties by Zuzanna Domżalska, Ewa Jakubczyk

    Published 2025-01-01
    “…Technology offers a wide range of possibilities in this field, including creating innovative products with unique compositions, shapes, and textures. A significant challenge in 3D printing is the development of the optimal ink composition. …”
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  20. 1500

    Modeling of trends in the development of demand for long-distance passenger transport, taking into account the peculiarities of its formation in the Russian Federation regions by E. A. Makarova, K. V. Surzhin, S. B. Elizarov, S. S. Morozov

    Published 2017-02-01
    “…The article describes the results of research work on modeling and forecasting passenger flow and the choice with reference calculation an optimal model having the smallest prediction error. …”
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