Showing 681 - 700 results of 1,556 for search '(variable OR variables) model composition', query time: 0.18s Refine Results
  1. 681

    Urban Resilience Amid Supply Chain Disruptions: A Causal and Cointegration-Based Risk Model for G-7 Cities Post-COVID-19 by Haibo Wang, Lutfu S. Sua

    Published 2024-11-01
    “…Using Granger causality tests and a factor-augmented vector autoregression (FAVAR) approach, the study examines complex time series and high-dimensional variables, focusing on urban-specific indicators such as the composite leading indicator (CLI) and business confidence indicator (BCI). …”
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    Article
  2. 682

    The Effectiveness of Instruction Based on the Four-Component Instructional Design (4C-ID) Model on Meaningful Learning and Critical Thinking in Sixth-Grade Students of Ardabil by Nader Heidari Raziabad, Vahid Rahimzadeh, Ali Khaleghkhah

    Published 2025-01-01
    “…One class was assigned to be control group and the other to be the experimental group. The independent variable was instruction based on the 4C-ID model, while the dependent variables were meaningful learning and critical thinking. …”
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  3. 683

    Optimizing GBM organoid construction with hydrogel-based models: GelMA-HAMA scaffold supports GBM organoids with clonal growth for drug screening by Min Zhou, Ke Yue, Jingjing Zhao, Shuhua Gong, Yutong Xie, Wenyu Wu, Zhenzhou Li, Shuo Wu, Zhengliang Gao, Huan Wang, Jianrong Guo

    Published 2025-06-01
    “…However, Matrigel, the most used extracellular matrix, is animal-derived with a complex composition and significant batch-to-batch variability, requiring further optimization for GBM organoid construction. …”
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    Article
  4. 684

    ZIF-8 as Potential Pesticide Adsorbent Medium for Wastewater Treatment: The Case Study of Model Linuron Extraction Conditions Optimization via Design of Experiment by Nicola di Nicola, Mariacristina Di Pelino, Martina Foschi, Rosalba Passalacqua, Andrea Lazzarini, Fabrizio Ruggieri

    Published 2025-06-01
    “…The Response Surface Methodology (RSM) revealed that temperature and Linuron concentration were the most influential variables. A quadratic effect of ionic strength and a significant interaction between Linuron concentration and ionic strength were also observed. …”
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    Borrowing in modern Russian language: related linguistic processes by Natalia V. Gabdreeva, Anastasia V. Ageeva

    Published 2025-12-01
    “…General and specific characteristics in the formation of phonemic-graphemic appearance of foreign units are presented, including the most common types of variability and their factors. Structural modifications of lexical units in the process of borrowing are analyzed, and this allows us to draw a conclusion about the intensification of hybridization and composition according to the model of analytical languages. …”
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  8. 688

    The Effects of Land Use Mix on Urban Vitality: A Systemic Conceptualization and Mechanistic Exploration by Yuefei Zhuo, Hangang Hu, Guan Li

    Published 2025-07-01
    “…By integrating multi-source data (Baidu Maps, POI, and OSM) and employing OLS and geographically weighted regression (GWR) models, we unravel these systemic relationships. Key findings include the following: (1) LUM significantly enhances urban vitality, acting as a crucial urban system configuration for both daytime and nighttime activity. (2) The efficacy of LUM stems more from systemic interconnections—convenient access to adjacent spaces (proximity) and functional coordination among diverse land uses—than mere compositional diversity, emphasizing the importance of interrelated elements within the urban fabric. (3) The system’s response to LUM exhibits significant spatial and temporal heterogeneity; proximity’s impact is most variable, while diversity and coordination effects are more stable, underscoring the dynamic and context-dependent nature of these interactions. (4) System-adaptive strategies are crucial: newly developed urban areas benefit from foundational infrastructure and land use diversity (system inputs), while revitalizing older towns requires optimizing spatial accessibility and functional coordination (enhancing existing system linkages). …”
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  9. 689

    Pricing strategies of Online Stores and its influence on Consumers’ buying decision. by Dr. Waqar Ahmad

    Published 2025-06-01
    “…It has a long-term impact on the company's revenue, earnings, and investments, and it is the central variable in its financial models. Pricing reveals how a company thinks and acts in relation to its rivals and the value it provides to its consumers. …”
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  10. 690

    Constitutive Study of Limestone Damage in Karst Areas under Acidic Dry-Wet Cycles by ZHANG Yan, YUAN Pu-long, HUANG Lan-tao

    Published 2025-06-01
    “…By integrating the Weibull distribution function with a composite damage variable, a geometric damage model was established. …”
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    Article
  11. 691

    Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers by Ling Lei, Liang He, Tongjuan Zou, Jun Qiu, Yi Li, Ran Zhou, Yao Qin, Wanhong Yin

    Published 2025-01-01
    “…Logistic regression analysis was conducted for variable selection and nomogram model construction. …”
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    Article
  12. 692

    Predictive mathematical modeling of biomechanical behavior in all-on-4 implants design: effects of distal implant and occlusal load angulation using RSM based on FEA by Fahri Murat, Sema Nur Sevinç Gül, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy

    Published 2025-08-01
    “…Finite Element Analysis (FEA) was integrated with Response Surface Methodology (RSM) to develop 15 simulation models based on a Central Composite Design, incorporating distal implant angulations of 15°, 30°, and 45°, and occlusal load directions in both sagittal and frontal planes (45°, 67.5°, and 90°). …”
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  13. 693

    Integrating Radiomics and Lesion Mapping for Cerebellar Mutism Syndrome Prediction by Xinyi Chai, Wei Yang, Yingjie Cai, Xiaojiao Peng, Xuemeng Qiu, Miao Ling, Ping Yang, Jiashu Chen, Hong Zhang, Wenping Ma, Xin Ni, Ming Ge

    Published 2025-05-01
    “…Combining location weight, radiomic features from tumor area and the significant intersection area, and clinical variables, hybrid models were developed and validated using multiple machine learning models. …”
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  14. 694

    Improving the qualifications of doctors on the base of intelligent decision support systems by О. Стенін, В. Пасько, О. Лісовиченко, В. Солдатов

    Published 2025-02-01
    “…This article proposes the structure and composition of the IDSS of medicinal decisions, for which it is proposed to use a combined approach based on the frame structure of the knowledge model using production rules. …”
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    Media formulation using statistical methodology to enhance α-amylase production for green synthesis of Au-NPs by Bacillus subtilis VSP4 under solid-state fermentation by Vimalkumar S. Prajapati, Vaibhavkumar N. Mehta, Swati K. Patel

    Published 2025-06-01
    “…The F-value of the quadratic model (18.36) implies that the model is significant, while the F-value of the lack of fit (3.17) indicates that the lack of fit is not significant, meaning that the model has good fit. …”
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    Optimization of chlorpheniramine maleate (CPM) delivery by response surface methodology – four component modeling using various response times and concentrations of chitosan-alanin...

    Published 2009-04-01
    “…The release behavior of drug was affected by preparation variables. A central composite design was used to evaluate and optimize the effect of preparation variables; chitosan concentration (X1), percentage of crosslinker (X2), concentration of drug (X3) and release time (X4) on the cumulative amount of drug release, Y in solutions of pH = 2.0 and pH = 7.4, respectively. …”
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