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  1. 541

    Variation Characteristics of the Main Hydrochemical Indexes in Typical Subterranean Rivers in the South China Karst Region Based on Curve Fitting by Shuyi Liu, Chuan Liang, Lina Wang, Lingwei Zeng, Chunyi Wang

    Published 2019-01-01
    “…Additionally, we consolidated the data collected since 1960 and, by applying MATLAB, a variety of fitting curve methods were used to fit all the data, and the results showed that cubic spline interpolation fitting performed the best. The squared correlation coefficients (R2) of the obtained fitting curves for Ca2+, HCO3-, and Mg2+ are 0.8545, 0.8689, and 0.7632, respectively, and the corrected R2 values are 0.6739, 0.7088, and 0.4853, respectively. …”
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  2. 542

    Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle by Shi Feng, Alice C. Hughes, Qinmin Yang, Leyi Li, Chao Li

    Published 2025-03-01
    “…To address the inherent spatial and temporal biases of observations, the preprocessing steps include the interpolation of missing values, the application of sliding window, and the detection of outliers, which will address gaps and errors. …”
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  3. 543

    Crime and birth rate in Ukraine: modelling and statistical analysis by O. F. Shevchuk

    Published 2024-06-01
    “…The combined two-period birth rate model built as a result of the correlation and regression analysis proved to be adequate, with a fairly high interpolation accuracy (R = 0.865; MAPE = 5.38 %). In addition, for the first period (1992–2018), an overall decrease in the crime rate by 1 % was accompanied by an increase in the birth rate by 0.71 % with a time shift of two years. …”
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  4. 544

    Fusion of Remotely Sensed Data with Monitoring Well Measurements for Groundwater Level Management by César de Oliveira Ferreira Silva, Rodrigo Lilla Manzione, Epitácio Pedro da Silva Neto, Ulisses Alencar Bezerra, John Elton Cunha

    Published 2025-01-01
    “…We utilized the 90 m resolution TanDEM-X digital surface model and STEEP (Seasonal Tropical Ecosystem Energy Partitioning) data with a 500 m resolution to support the spatial interpolation of groundwater table depth measurements collected from 56 locations during the hydrological year 2015–16. …”
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  5. 545

    Particulate Pollution in Korhogo and Abidjan (Cote d’Ivoire) during the Dry Season by Sylvain Gnamien, Véronique Yoboué, Cathy Liousse, Money Ossohou, Sékou Keita, Julien Bahino, Silué Siélé, Lamine Diaby

    Published 2020-10-01
    “…From two measurement campaigns at about ten sites during the dry season and using the inverse distance-weighted interpolation method, maps of spatial variation in PM10 and PM2.5 concentrations are obtained at the scale of each of these cities, which provide a snapshot of the concentration levels to which populations are actually exposed. …”
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  6. 546

    Unraveling the spatiotemporal trends and source attribution of polycyclic aromatic hydrocarbons and oxygenated derivatives in Guangzhou agricultural ditch sediment by Shaomin Li, Weisong Chen, Yichen Liu, Haoyu Wang, Yongtao Li, Zhen Zhang, Xingjian Yang

    Published 2025-01-01
    “…Further correlations between estimated source contributions and water quality, strengthened by spatial interpolation, clearly identified agricultural activities, and atmospheric deposition associated with traffic emissions and fossil fuel combustion as primary contributor to sedimentary OPAHs and PAHs. …”
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    Article
  7. 547

    H-AMR FORGE’d in FIRE. I. Magnetic State Transitions, Jet Launching, and Radiative Emission in Super-Eddington, Highly Magnetized Quasar Disks Formed from Cosmological Initial Cond... by Nicholas Kaaz, Matthew Liska, Alexander Tchekhovskoy, Philip F. Hopkins, Jonatan Jacquemin-Ide

    Published 2025-01-01
    “…To answer this, we must follow the gas to the event horizon. For this, we interpolated the quasar into the general-relativistic radiation magnetohydrodynamics code H-AMR and performed 3D simulations with BH spins a = 0 and a = 0.9375. …”
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  8. 548

    SFMHANet: Surface Fitting Constrained Multidimensional Hybrid Attention Network for Aero-Optics Thermal Radiation Effect Correction by Yu Shi, ShanLin Niu, Lei Wang, Liang Ye, YaoZong Zhang, HanYu Hong

    Published 2025-01-01
    “…First, according to the characteristics of the aero-optics thermal radiation bias field belonging to low frequency, we initially estimate the aero-optics thermal radiation bias field using biharmonic spline interpolation surface fitting based on wavelet decomposition. …”
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  9. 549

    Spatiotemporal dynamics and prevention strategies of cervical cancer incidence in Addis Ababa, Ethiopia: an ecological study by Mathewos Assefa, Eva Johanna Kantelhardt, Teferi Gedif Fenta, Tariku Shimels

    Published 2025-01-01
    “…Techniques such as Bayesian empirical testing with a block weighting matrix for hotspot identification, Global Moran’s I for spatial autocorrelation, nearest neighbour imputation and universal Kriging interpolation were used to manage data gaps. Joinpoint trend analysis and direct age-standardised incidence rate (ASIR) using the Segi’s World standard population was applied to compare trends across subcities. …”
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  10. 550

    Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

    Published 2025-01-01
    “…Retrieving consistent high-resolution ADT and SST information from space is challenging, due to instrument limitations, sampling constraints, and degradations introduced by the interpolation algorithms used to obtain gap-free (L4) analyses. …”
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  11. 551

    Supersymmetric $$AdS_6$$ A d S 6 black holes from ISO(3) $$\times $$ × U(1) F(4) gauged supergravity by Parinya Karndumri

    Published 2025-02-01
    “…We give numerical black hole solutions interpolating between all of these $$AdS_2\times \mathcal {M}_4$$ A d S 2 × M 4 near horizon geometries and the asymptotically locally $$AdS_6$$ A d S 6 vacuum. …”
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  12. 552

    Forecasting Weather using Deep Learning from the Meteorological Stations Data : A Study of Different Meteorological Stations in Kaski District, Nepal by Supath Dhital, Kapil Lamsal, Sulav Shrestha, Umesh Bhurtyal

    Published 2024-06-01
    “…Averaging and linear interpolation techniques were used to fill out the missing values and outliers were detected using Box Plot and replaced with threshold value for each parameter. …”
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  13. 553

    Carcinogenic and non-carcinogenic risk estimation of indoor TVOCs, RSPM, FPM and SFPM on young women dwellers: a case study from the capital city of Uttar Pradesh, India by Farheen Zehra, Samridhi Dwivedi, Mohd Akbar Ali, P. S. Rajinikanth, Alfred Lawrence

    Published 2025-01-01
    “…To elucidate the spatial dynamics of these pollutants, the Inverse Distance Weighting (IDW) interpolation technique was employed. Additionally, site-specific analysis of PM mass ratios (PM2.5/PM10, PM1/PM2.5 and PM1/PM10) elucidated the particle size distribution and their sources, significantly enhancing the scientific understanding of aerosol dynamics in these urban settings.…”
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  14. 554

    The Influences of Microwave Irradiation and Heat Treatment on the Dynamic Tensile Response of Granite by Shu Wang, Lei Bao, Pujing Yao, Jingxuan Xi, Ting Zhang, Yueqing Guo, Xinshuang Wu, Yitong Sun

    Published 2024-12-01
    “…Both were significantly correlated with the loading rate, with the dynamic tensile strength demonstrating an average decrease of approximately 25% when the loading rate was increased. Interpolation and fitting analyses were employed to investigate the effects of microwave radiation duration, heat treatment temperature, and loading rate on the dynamic tensile strength of FG samples. …”
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  15. 555

    Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019 by Gamal AbdElNasser Allam Abouzied, Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo

    Published 2025-01-01
    “…This method combines the outcome of 15 strategies based on four various gap‐filling techniques (quantile mapping, spatial interpolation, machine learning, and multi‐strategy merging). …”
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  16. 556

    Dıscrete-tıme dynamıc water qualıty ındex model ın coastal water by H. Hapoğlu, Ş. Camcıoğlu, B. Özyurt, P. Yildirim, L. Balas

    Published 2021-04-01
    “…The input data are interpolated to estimate daily based inputs by using the developed model in the Simulink-MATLAB environment. …”
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  17. 557

    The Groundwater Geochemistry and the Human Health Risk Assessment of Drinking Water in an Area with a High Prevalence of Chronic Kidney Disease of Unknown Etiology (CKDu), Sri Lank... by W. S. M. Botheju, J. A. Liyanage, S. D. P. Kannangara

    Published 2021-01-01
    “…Results of the inverse distance weighted (IDW) interpolation tool indicated the nephrotoxic heavy metals contents including Cd, Pb, As, and Cr in CKDu hotspot were changed in the ranges of 9.78–187.25 μg/L, 0.08–0.66 μg/L, 20.76–103.30 μg/L, and 0.03–0.34 μg/L. …”
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  18. 558

    Depth dependence of soil organic carbon additional storage capacity in different soil types by the 2050 target for carbon neutrality by C. Chirol, C. Chirol, G. Séré, P.-O. Redon, C. Chenu, D. Derrien, D. Derrien

    Published 2025-02-01
    “…Continuous profiles of SOC stocks were interpolated for each soil type and land use (cropland, grassland, or forest). …”
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  19. 559

    Neural network based classification of rock properties and seismic vulnerability by U. Muksin, E. Riana, A. Rudiyanto, K. Bauer, A.V.H. Simanjuntak, M. Weber

    Published 2023-10-01
    “…From the two methods, the values of the average shear wave velocity for the upper 30 meters, peak amplitudes and the dominant frequency between the measurement points were obtained from the interpolation of those geophysical data. Neural network was then applied to adaptively cluster and map the geophysical parameters. …”
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  20. 560

    The Accuracy and Precision of the Continuously Stored Data from Flash Glucose Monitoring System in Type 2 Diabetes Patients during Standard Meal Tolerance Test by Rengna Yan, Huiqin Li, Xiaocen Kong, Xiaofang Zhai, Maoyuan Chen, Yixuan Sun, Lei Ye, Xiaofei Su, Jianhua Ma

    Published 2020-01-01
    “…The corresponding sensor glucose values were obtained from interpolating continuously stored data points. Assessment of accuracy was according to recent consensus recommendations with median absolute relative difference (MARD) and Clarke and Parkes error grid analysis (CEG and PEG). …”
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