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  1. 621

    Experimental Investigation into Waterproofing Performance of Cement Mortar Incorporating Nano Silicon by Nasiru Zakari Muhammad, Muhd Zaimi Abd Majid, Ali Keyvanfar, Arezou Shafaghat, Ronald MCcaffer, Jahangir Mirza, Muhammad Magana Aliyu, Mujittafa Sariyyu

    Published 2025-06-01
    “…Therefore, nano silicon was characterized using Field Emission Scanning Electron Microscope (FESEM), Energy Dispersion Spectroscopy (EDS), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), and surface Zeta potential. The Central Composite Design (CCD) tool was adopted to plan the experiment and further used to model the relationship between experimental variables and experimental response. …”
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  2. 622

    Return Loss Optimization in Rectangular Microstrip Patch Antennas Using Response Surface Methodology (RSM) for 5G Applications by Thi Bich Ngoc Tran, Van Su Dang

    Published 2025-06-01
    “…To examine the impact of independent variables (such as patch length, patch width, inset slot length, and inset slot width) on the response variables (return loss and resonant frequency), Response Surface Methodology (RSM) combined with Central Composite Design (CCD) was applied. …”
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  3. 623

    Sustained release biodegradable solid lipid microparticles: Formulation, evaluation and statistical optimization by response surface methodology by Hanif Muhammad, Khan Hafeez Ullah, Afzal Samina, Mahmood Asif, Maheen Safirah, Afzal Khurram, Iqbal Nabila, Andleeb Mehwish, Abbas Nazar

    Published 2017-12-01
    “…For preparing nebivolol loaded solid lipid microparticles (SLMs) by the solvent evaporation microencapsulation process from carnauba wax and glyceryl monostearate, central composite design was used to study the impact of independent variables on yield (Y1), entrapment efficiency (Y2) and drug release (Y3). …”
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  6. 626

    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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    Article
  7. 627

    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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  8. 628

    Application Of The Denitrification-Decomposition (DNDC) Model To Retrospective Analysis Of The Carbon Cycle Components In Agrolandscapes Of The Central Forest Zone Of European Russ... by Olga E. Sukhoveeva, Dmitry V. Karelin

    Published 2019-07-01
    “…We applied the process-based simulation model DNDC (DeNitrification-DeComposition) recommended  by UNCCC and world widely used.  …”
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    Article
  9. 629

    A novel radiomics model combining GTVp, GTVnd, and clinical data for chemoradiotherapy response prediction in patients with advanced NSCLC by Ya Li, Ya Li, Ya Li, Ya Li, Min Zhang, Min Zhang, Min Zhang, Min Zhang, Yong Hu, Dan Zou, Bo Du, Youlong Mo, Tianchu He, Mingdan Zhao, Benlan Li, Benlan Li, Benlan Li, Benlan Li, Ji Xia, Ji Xia, Ji Xia, Ji Xia, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Zhongjun Huang, Fangyang Lu, Bing Lu, Bing Lu, Bing Lu, Jie Peng, Jie Peng, Jie Peng, Jie Peng

    Published 2025-07-01
    “…The multimodal composite model (integrating GTVp, GTVnd, and clinical parameters) significantly outperformed the GTVp-only model, with a training AUC of 0.862 and validation AUC of 0.863, demonstrating superior predictive performance for concurrent chemoradiotherapy response in this patient population.…”
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  10. 630

    Spatiotemporal Characteristics, Causes, and Prediction of Wildfires in North China: A Study Using Satellite, Reanalysis, and Climate Model Datasets by Mengxin Bai, Peng Zhang, Pei Xing, Wupeng Du, Zhixin Hao, Hui Zhang, Yifan Shi, Lulu Liu

    Published 2025-03-01
    “…Finally, we developed a prediction model for burned areas, leveraging the strong correlation between the FFMC and burned areas. …”
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    Article
  11. 631

    New approach methodologies for in vitro toxicity screening of nanomaterial using a pulmonary three-dimensional floating extracellular matrix model by Soojin Kim, Mi-Sun Choi, Hyun Jegal, Min Beom Heo, Minjeong Kwak, Hyun Kyong Shon, Seungwoo Song, Tae Geol Lee, Ji-Ho Park, Dong Woo Lee, Seokjoo Yoon, Jung-Hwa Oh

    Published 2025-07-01
    “…Using 20 nm silica nanoparticles (SiNPs), we assessed cell viability and nanoparticle uptake in both serum-containing and serum-free culture media. While the 2D model showed high SiNPs toxicity regardless of the media composition, the pulmonary 3D floating ECM model demonstrated variable toxicities that depended on the SiNPs behaviors under different conditions. …”
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  12. 632
  13. 633

    The impact of internet use on the health status of the older adults in China: a chain mediating model of social interaction and physical exercise by Jiangwei Hu, Haoxian Mai, Chunyun Tan, Yingying Du

    Published 2025-08-01
    “…The dependent variable was health status, measured by a composite score of self-assessed health, physical health, and mental health. …”
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  14. 634
  15. 635

    Structural Model of Factors Affecting the Use of Organic Fertilizers by Rice Farmers during Rice (Oryza sativa) Cultivation in Dezful County by Zahra Eskanadari, Moslem Saavri, Masoud Yazdanpanah

    Published 2025-12-01
    “…The form and content validity of the questionnaire was confirmed by experts' opinion and its reliability was confirmed through Cronbach's alpha and composite reliabilityResults and DiscussionThe results of the structural equation modeling research showed that the variables of self-efficacy (ƛ=0.257; P=0.000), action guide (ƛ=0.222; P=0.000), perceived intensity (ƛ=0.121; P=0.035) and perceived sensitivity (ƛ= 0.100; P= 0.046) and perceived benefits (ƛ= 0.319; P= 0.000) have a positive and significant effect on the use of organic fertilizers among rice farmers in Dezful County. …”
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  16. 636

    Analysis of imperfect interfaces in cobalt ferrite plates using a linear spring model: a comparative study with terfenol-D by Seema, Abhinav Singhal

    Published 2024-12-01
    “…The comparative study of different piezomagnetic models and the incorporation of heterogeneity and interface conditions contribute to the originality of the research.…”
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    Article
  17. 637

    Risk-Adjusted Estimation and Graduation of Transition Intensities for Disability and Long-Term Care Insurance: A Multi-State Model Approach by Beatriz A. Curioso, Gracinda R. Guerreiro, Manuel L. Esquível

    Published 2025-06-01
    “…To illustrate the proposed framework, we simulate a dataset with individual risk profiles and model trajectories, mirroring Portugal’s demographic composition. …”
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  18. 638

    Quantitative Detection of Water Content of Winter Jujubes Based on Spectral Morphological Features by Yabei Di, Huaping Luo, Hongyang Liu, Huaiyu Liu, Lei Kang, Yuesen Tong

    Published 2025-02-01
    “…After fusing the spectral morphological features, the partial least squares modeling effects were all improved. The optimal model was the fusion model at a center wavelength of 1146 nm with a correlation coefficient of 0.9942 for the calibration set and 0.8698 for the prediction set. …”
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  19. 639

    Predicting the occurrence of probable sarcopenia in middle-aged and elderly patients with coronary artery disease: development and validation of a clinical model by Xiaolan Sun, Jia Xu, Feier Chen, Haiyan Lei, Wei Chen, Fang Ding, Xueping Li

    Published 2025-08-01
    “…A multifactorial logistic regression model was employed to discern the independent variables that significantly influence the occurrence of handgrip strength reduction among patients suffering from coronary artery disease. …”
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  20. 640

    Machine learning model interpretability using SHAP values: Applied to the task of classifying and predicting the nutritional content of different cuts of mutton by Li Wang, Xuchun Sun, Jing Liang, Zhiyuan Ma, Fei Li, Shengyan Hao, Baocang Liu, Long Guo, Xiuxiu Weng

    Published 2025-07-01
    “…SHAP value analysis revealed that lipid-related variables and wavelengths in the 2300–2500 nm region were major contributors to the model. …”
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    Article