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  1. 601

    Explaining the COVID19 mortality growth rate: an empirical analysis of Israeli cities by Yuval Arbel, Yifat Arbel, Amichai Kerner, Miryam Kerner, Miryam Kerner

    Published 2025-07-01
    “…These include population size, median age, a socio-economic ranking at a city level, a date variable and a dummy variable that equals 1 for post-vaccination and 0 for pre-vaccination era.MethodRegression analysis, where each variable is converted to the standard normal distribution function. …”
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  2. 602

    The impact of energy poverty on the health capital of middle-aged and older adult residents in rural China by Cuiting Yu, Tianrun Li, Qin Wan

    Published 2025-04-01
    “…Endogeneity was addressed using instrumental variables and propensity score matching.ResultsThe findings indicate that energy poverty has a significant negative impact on health capital, with a regression coefficient of −0.221(p<0.01), lowering self-rated health levels. …”
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  3. 603

    An assessment of the likely impact of strain-related phenotypic plasticity on hominin fossil species identification by M. Collard, S.J. Lycett

    Published 2009-07-01
    “…We divided the measurements into three groups: measurements of features subject to high masticatory strain, measurements of features subject to low-to-moderate masticatory strain, and measurements of features that do not remodel and therefore are not prone to strain-related phenotypic plasticity. Next, we used the coefficient of variation and ANOVA to investigate whether masticatory strain is a cause of variability. …”
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  4. 604

    Cross-sectional associations between physical activity and sedentary time with cardiovascular health in children from the ALSPAC study using compositional data analysis by K. M. Sansum, B. Bond, R. M. Pulsford, A. McManus, A. O. Agbaje, A. M. Skinner, A. R. Barker

    Published 2025-04-01
    “…Multiple linear regression analyses were adjusted for key covariates with LPA, MVPA and ST entered as compositional exposure variables. Neither LPA, MVPA or ST were significantly associated with the vascular outcomes. …”
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  5. 605

    Research on the Inversion of Key Growth Parameters of Rice Based on Multisource Remote Sensing Data and Deep Learning by Jian Li, Jian Lu, Hongkun Fu, Wenlong Zou, Weijian Zhang, Weilin Yu, Yuxuan Feng

    Published 2024-12-01
    “…Dehui City in Jilin Province, China, was selected as the case study area, where multidimensional data including vegetation indices, ecological function parameters, and environmental variables were collected, covering seven key growth stages of rice. …”
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  6. 606

    Spatiotemporal Analysis and Anomalous Trends of Asia AOD (2001–2024): Insights from a Deep Learning Fusion Model and EOF Decomposition by Yu Ding, Wenjia Ni, Jiaxin Dong, Jie Yang, Shiyao Meng, Siwei Li

    Published 2025-05-01
    “…To overcome these challenges, this study employs the deep learning model TabNet, incorporating Digital Elevation Model (DEM) data and ERA5 meteorological variables, to fuse MERRA-2 AOD with MODIS MAIAC AOD observations. …”
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  7. 607

    Fokker-Planck Central Moment Lattice Boltzmann Method for Effective Simulations of Fluid Dynamics by William Schupbach, Kannan Premnath

    Published 2024-10-01
    “…This can be interpreted as a new path for the collision process in terms of the relaxation of the various central moments to “equilibria”, which we term as the Markovian central moment attractors that depend on the products of the adjacent lower order moments and a diffusion coefficient tensor, thereby involving of a chain of attractors; effectively, the latter are nonlinear functions of not only the hydrodynamic variables, but also the non-conserved moments; the relaxation rates are based on scaling the drift coefficient by the order of the moment involved. …”
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  8. 608

    Technical Efficiency of Sweet Potato Production: A Stochastic Frontier Analysis by Godfrey C. Onuwa, Solomon T. Folorunsho, Ganiyu Binuyo, Mercy Emefiene, Onyekwere P. Ifenkwe

    Published 2021-08-01
    “…Data collected was analyzed using descriptive statistics and stochastic frontier production function. The socioeconomic variables of the respondents affected their farm efficiency and level of farm output. …”
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    Article
  9. 609

    Serum Interleukin-6, Interleukin-17A, and transforming growth factor beta are raised in systemic sclerosis with interstitial lung disease by Anupam Wakhlu, Rasmi Ranjan Sahoo, Jyoti Ranjan Parida, Mohit K Rai, Durga P Misra, Vinita Agrawal, Vikas Agarwal

    Published 2018-01-01
    “…Serum IL-6, IL-17A and TGF β1 levels were assayed using ELISA kit and compared among disease subtypes and clinical parameters. Spearman coefficient was used to test correlation between continuous variables. …”
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  10. 610

    PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

    Published 2024-11-01
    “…However, most of them take no consideration of natural physical laws that may cause issues of physical inconsistency among different variables. In this paper, we proposed PGTransNet, a novel physics-guided transformer network for 3D Ocean temperature and salinity forecasting. …”
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  11. 611

    Modeling biogeochemical processes in the Azov Sea using statistically processed data on river flow by A. I. Sukhinov, Y. V. Belova, A. V. Nikitina, A. M. Atayan

    Published 2020-12-01
    “…River flow, varying in volume and chemical composition, affects significantly the variability of hydrophysical and biogeochemical parameters of the processes occurring in the coastal environment. …”
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  12. 612

    Comparative studies of Taguchi dynamic analysis, statistical, and artificial neural networks for low-carbon steel corrosion inhibition in acidic media by Aprael S. Yaro, Anees A. Khadom, Saeed Rajab Yassen

    Published 2024-10-01
    “…Two mathematical models are proposed to construct a relationship between %IE and independent variables: the exponent model (EM) and the polynomial model (PM). …”
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  13. 613

    Optimal design for eigen-frequencies of a longitudinal bar using Pontryagin's maximum principle considering the influence of concentrated mass by Bui Hai Le, Tran Minh Thuy

    Published 2017-03-01
    “…By considering eigen frequencies as state variables, the analogy coefficient k in the necessary optimality condition is explicitly determined. …”
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  14. 614
  15. 615

    Temporal disorientation during war: associations with work-family conflict, emotional distress, and burnout by Irene Diamant, Maor Kalfon Hakhmigari

    Published 2025-05-01
    “…Principal Component Analysis (PCA) was used to validate the factor structure of the Hebrew version of Temporal Disorientation questionnaire, Pearson correlation coefficient was used to evaluated correlations among the study variables; Hierarchical linear regression was used to model the outcome variables, emotional distress and burnout.ResultsTemporal confusion and difficulties in future orientation during wartime were significantly associated with emotional distress. …”
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  16. 616

    Moral Development and Wisdom: The Mediating Role of Moral Intelligence and Emotional Intelligence by Heng Zheng, Jing Dong, Yang Lihua

    Published 2025-05-01
    “…Results: The results showed that the conceptual model of the study had an appropriate fit. Examining the coefficients of the effects of the research variables on each other, it seemed that moral development had a direct standardized effect coefficient of 0.53 on intelligence. …”
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  17. 617

    Spatial Analysis of the Relationship between Ecological Factors and Housing Prices in Tehran by Atefeh Kolyaei, Tahir Prizadi, Habibollah Fasihi

    Published 2024-12-01
    “…Among the independent variables, the average annual temperature, distance from river valleys, distance from fault lines, and green coverage showed the highest correlation coefficients; however, these relationships were negative, indicating an inverse correlation. …”
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  18. 618

    REVIVAL OF TOURISM DEMAND IN THE POST COVID-19 PANDEMIC PERIOD - A STATISTICAL OVERVIEW IN ROMANIA by Agatha POPESCU, Cristina TINDECHE, Alina MARCUTA, Liviu MARCUTA, Adelaida HONTUS, Mirela STANCIU, Daniela-Mirela PLESOIANU

    Published 2024-01-01
    “…Dynamics of the tourist arrivals and overnight stays involved to establish the trend using polynomial regression functions and determination coefficient. The results showed that the recovery of the tourist flow from its lowest level registered in 2020, the worst year of tourism during the pandemic, needed three years to attain a higher performance than in 2019, a year which was considered the peak in Romania's tourism. …”
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  19. 619

    Decoding the role of serum cholinesterase among type 2 diabetes mellitus patients at RIMS, Ranchi – A hospital-based study by Avijit Saha, Abha Kumari, Santosh Kumar, Abhay Kumar, Chandrakanta Munni

    Published 2025-02-01
    “…This condition is characterized by variable levels of insulin resistance, impaired insulin secretion, and elevated glucose production. …”
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  20. 620

    On the Global Practical Exponential Stability of <i>h</i>-Manifolds for Impulsive Reaction–Diffusion Cohen–Grossberg Neural Networks with Time-Varying Delays by Gani Stamov, Trayan Stamov, Ivanka Stamova, Cvetelina Spirova

    Published 2025-02-01
    “…The established criteria are less restrictive for the variable domain and diffusion coefficients. The effect of some uncertain parameters on the stability behavior is also considered and a robust practical stability analysis is proposed. …”
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