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  1. 1721

    Assessing Attitudes Toward Science, Technology, Engineering, and Mathematics (STEM) for Enhancing Creativity in Secondary Education [Evaluación de actitudes hacia la ciencia, tecno... by Mujib, Mardiyah Mardiyah

    Published 2024-12-01
    “…Reliability values for the four factors ranged between .73 and .94 with Cronbach Alpha, while those for composite reliability ranged between .97 and .97. The relationship between variables in attitudes toward the STEM instrument identified various path coefficients and effect sizes, indicating strong correlations between the STEM attitude variables. …”
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  2. 1722

    Mapping Ecosystem Functional Groups in the Republic of Korea Based on the IUCN Global Ecosystem Typology by Kyungil Lee, Haedam Baek, Chul-Hyun Choi, Sang-Hak Han, Seonyoung Park

    Published 2025-05-01
    “…To evaluate the potential of EFG classification, the RF model was trained on seasonal satellite composites and environmental variables, achieving an overall accuracy of 80%. …”
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  3. 1723
  4. 1724

    Optimization of stope dimensions using response surface method coupling a hybrid chaos-genetic algorithm by Ming lan, Hanwen Jia, Ju Ma

    Published 2025-05-01
    “…A second-order response surface model was constructed based on these findings, enabling the formulation of a comprehensive optimization framework. …”
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  5. 1725

    Soluble ST2 does not change cardiovascular risk prediction compared to cardiac troponin T in kidney transplant candidates. by Mira T Keddis, Ziad El-Zoghby, Bruce Kaplan, Jeffrey W Meeusen, Leslie J Donato, Fernando G Cosio, D Eric Steidley

    Published 2017-01-01
    “…During 28 months (IQR 25.3-30), 7.5% died, 13.0% developed CVE and 19.0% developed the composite outcome. Elevated sST2 was associated with the composite outcome (hazard ratio = 1.76, CI 1.06-2.73, p = 0.029) on univariate analysis but not after adjusting for age, diabetes and cTnT (p = 0.068). sST2 did not change the risk prediction model for composite outcome after including age, diabetes, prior history of CVE and elevated cTnT.…”
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  6. 1726

    Correlation of plasma insulin-like factor 6 level with risk of acute aortic syndrome and adverse prognosis by DONG Wang, DONG Wang, WANG Ying, ZHANG Mingle

    Published 2025-03-01
    “…Spearman correlation analysis was used to assess the relationship between plasma INSL6 and other variables, receiver operating characteristic (ROC) curve was plotted to evaluate the diagnostic efficacy of INSL6 for AAS occurrence, multivariate conditional logistic regression model was utilized to analyze the association between plasma INSL6 and AAS onset, and Kaplan-Meier survival curve and multivariate Cox proportional hazards regression model was applied to analyze the relationship between acute-phase plasma INSL6 level and adverse prognosis in AAS patients. …”
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  7. 1727

    Waterbody type dependence of the spatial distribution of macroinvertebrate communities in temperate China by Yujie Si, Junxia Wang, Junxia Wang, Hongxiang Li, Haonan Li, Ping He, Lei Jin, Cunqi Liu

    Published 2025-03-01
    “…In the lake, spatial and environmental variables contributed to the spatial distribution of macroinvertebrate communities, while in the river, spatial variables were slightly more important than environmental variables. …”
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  8. 1728

    User Behavior Analysis of E-Wallet Usage Among Gen Z using the Theory of Planned Behavior by Muhammad Zacky Raditya, Mona Fronita, Eki Saputra, Megawati Megawati

    Published 2025-07-01
    “…A quantitative research method was employed, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Instrument validity was tested through discriminant validity, while reliability was assessed using Cronbach’s Alpha and Composite Reliability. …”
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  9. 1729

    Lightweight deep learning system for automated bone age assessment in Chinese children: enhancing clinical efficiency and diagnostic accuracy by Pang Hai, Zhang Bin, Liu Kesheng, Li Cong, Xu Fei

    Published 2025-07-01
    “…The model attains an average accuracy of 80.3% on the training set and 81.5% on the test set, with a total parameter count of 15.8 million—56–86% fewer than comparable models (e.g., ResNet50, InceptionV3). …”
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  10. 1730

    Race, Neighborhood Economic Status, Income Inequality and Mortality. by Nicolle A Mode, Michele K Evans, Alan B Zonderman

    Published 2016-01-01
    “…Correlations among these variables in most urban areas have limited what conclusions can be drawn from existing research. …”
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  11. 1731
  12. 1732
  13. 1733

    Variants of the Coagulation and Inflammation Genes Are Replicably Associated with Myocardial Infarction and Epistatically Interact in Russians. by Rosa M Barsova, Dmitrijs Lvovs, Boris V Titov, Natalia A Matveeva, Roman M Shakhnovich, Tatiana S Sukhinina, Nino G Kukava, Mikhail Ya Ruda, Irina M Karamova, Timur R Nasibullin, Olga E Mustafina, German J Osmak, Ekaterina Yu Tsareva, Olga G Kulakova, Alexander V Favorov, Olga O Favorova

    Published 2015-01-01
    “…The procedure is applicable to any pair of logical variables, e.g. carriage of two sets of alleles. The composite model that included three single gene variants and the epistatic pair has AUC of 0.66 both in discovery and replication groups.…”
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  14. 1734

    AI driven prediction of early age compressive strength in ultra high performance fiber reinforced concrete by Mohamed Abdellatief, Wafa Hamla, Hassan Hamouda

    Published 2025-06-01
    “…Additionally, feature importance analysis was implemented to explore the influence of the input variables on the early-age CS. Results indicate that GPR and SVR models with high predictive accuracy (R2 > 0.90) outperformed ANN, RF, and GB models. …”
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  15. 1735

    A novel waste heat-driven methane reforming membrane reactor and parametric optimization study combining CFD simulation and response surface methodology by Jingyu Wang, Lei Wang, Leilei Shen, Yuqi Shen, Yuqi Wang

    Published 2025-06-01
    “…A multi-physics coupling model of the reactor was developed through computational fluid dynamics (CFD) simulations. …”
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  16. 1736

    Impact of short-term aircraft noise on cardiovascular disease risk in the area surrounding London Heathrow airport: the RISTANCO epidemiological study by Xiangpu Gong, Nicole Itzkowitz, Calvin Jephcote, Kathryn Adams, Glory O Atilola, John Gulliver, Marta Blangiardo, Anna Hansell

    Published 2024-12-01
    “…We explored relationships with three different area-level measures related to deprivation: the Carstairs index (a composite measure from UK Census variables relating to poverty), the avoidable death rate (health inequality) and fuel poverty (wealth inequality). …”
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  17. 1737

    Increasing Fire Weather Season Overlap Between North America and Australia Challenges Firefighting Cooperation by Doug Richardson, Andreia F. S. Ribeiro, Fulden Batibeniz, Yann Quilcaille, Andrea S. Taschetto, Andrew J. Pitman, Jakob Zscheischler

    Published 2025-04-01
    “…Composites of ERA5 and CMIP6 sea surface temperatures suggest a link between the interannual variability of overlap and the El Niño‐Southern Oscillation, despite this climate mode's opposing relationship with fire weather in the two regions. …”
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  18. 1738
  19. 1739

    CPFD Simulation of Operation Characteristics of a 10t/d Sludge and Biomass Co-incineration Fluidized Bed Reactor by REN Shaohui, YU Qiao, LIN Li, XIANG Jiatao, MA Lun, ZHANG Shihong

    Published 2025-01-01
    “…ObjectiveThis research aims to comprehensively investigate the operational dynamics of a 10t/d sludge and biomass co-incineration fluidized bed reactor through Computational Particle Fluid Dynamics (CPFD) modeling, addressing critical gaps in industrial-scale waste valorization. …”
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  20. 1740

    Impacts of Community Parks on Residents’ Health Benefits and Enhancement Strategies Thereof from the Perspective of Micro-Renewal: A Case Study of Nanjing by Tianyuan SHOU, Mingjuan ZHANG, Jiaxing WEI

    Published 2025-07-01
    “…The generalized ordered logit models is utilized to analyze the non-linear effects of community park characteristics on residents’ health benefits, with socio-demographic factors such as gender, age, education level, and family income as control variables.ResultsThis research reveals a hierarchical and non-linear association between community park characteristics and residents’ self-assessed health benefits. …”
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