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  1. 1421

    Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates by Navdeep Verma, Seyum Getenet, Christopher Dann, Thanveer Shaik

    Published 2025-03-01
    “…Multiple metrics were employed, including Cohen’s Kappa, Bland–Altman analysis, the Intraclass Correlation Coefficient (ICC), and Pearson/Spearman correlation coefficients, to compare the AI model’s results with those of the experts. …”
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    Article
  2. 1422

    PENGARUH PEMBIAYAAN MUDHARABAH BERDASARKAN PSAK NOMOR 105 TERHADAP LABA BERSIH DI BANK MUAMALAT INDONESIA PERIODE 2016-2020 by Melinia Putri, Iwan Setiawan, Mia Lasmi Wardiyah, Mia Lasmi Wardiyah

    Published 2023-01-01
    “…And the data analysis used in this research is descriptive statistical analysis, simple linear regression analysis, correlation analysis, coefficient of determination analysis, and t test analysis. …”
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  3. 1423

    A PRINCIPAL COMPONENT ANALYSIS OF KNOWLEDGE MANAGEMENT SUCCESS FACTORS IN CONSTRUCTION FIRMS IN NIGERIA by Taiwo Adegbembo, Oluwaseyi Awodele, Ayodeji Oke

    Published 2020-09-01
    “…The reliability of each construct was tested using Cronbach Alpha coefficient, and the values arrived at are; 0.87, 0.885, 0.882, 0.903 and 0.749 respectively. …”
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    Article
  4. 1424

    Modification of cadmium accumulation by maize seedlings by acute γ-irradiation of seeds by Yu. А. Кutlahmedov, V. V. Schwartau, L. M. Мykhalska, S. А. Pchelovska, А. G. Salivon, L. V. Tonkal

    Published 2016-12-01
    “…It has been established that the preliminary acute γ-irradiation of maize seeds at a dose 35 Gy has a positive effect on the maize plants growth and absorption characteristics in the water culture conditions. Quantitative evaluation of character of the radiation and chemical factors interaction by the coefficient of synergy has shown that the radiation and toxic factors interact nonadditively. …”
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    Article
  5. 1425

    Determination of Victoria blue in water samples using ultrasound-assisted liquid-phase microextraction based on deep eutectic solvents: A comparative study of spectrophotometric an... by Zahra Khalifeh, Hamid Reza Rajabi, Ali Gorjizadeh Kohvade, Ardeshir Shokrollahi

    Published 2025-03-01
    “…The method demonstrates excellent linearity (0.010–3.0 and 0.01–4.0 mg/L), high coefficient determination (R2 = 0.9996 and 0.9985), and low detection limits (3.0 and 4.2 µg/L) using both spectrophotometry and SPI. …”
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  6. 1426

    The Influence of Product Quality and Electronic Word of Mouth on Customer Loyalty in Skincare Products at Sociolla Cirebon by Ristalia Indy, Pebi Yanti Nobu Aq, Yusuf Yusuf, Rahmadi Rahmadi

    Published 2025-06-01
    “…This study seeks to investigate the influence of these two factors on customer loyalty in skincare products available at Sociolla Cirebon. Employing a quantitative research method with an associative approach, the study surveyed 150 respondents selected through purposive sampling. …”
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  7. 1427

    A Simple Mathematical Model to Predict the Pressure Drop for Transport of Deformable Particles in Homogeneous Porous Media by Víctor Matías-Pérez, Simón López-Ramírez, Elizbeth Franco-Urresti, Carlos G. Aguilar-Madera

    Published 2024-11-01
    “…Assuming a linear pressure dependence of the viscosity and density of the TDPs, valid for moderate pressure changes, the solution of the mathematical model yields a quantitative correlation between the pressure evolution and the parameters compressibility, viscosity coefficient, elastic modulus, particle size, and friction factor. …”
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  8. 1428
  9. 1429

    Groundwater level prediction using an improved SVR model integrated with hybrid particle swarm optimization and firefly algorithm by Sandeep Samantaray, Abinash Sahoo, Falguni Baliarsingh

    Published 2024-06-01
    “…The SVR-FFAPSO model performs best in GWL forecasting for Khuntuni station, according to the quantitative analysis with correlation coefficient (R) = 0.9978, Nash–Sutcliffe efficiency (NSE) = 0.9933, mean absolute error (MAE) = 0.00025 (m), root mean squared error (RMSE) = 0.00775 (m) during the training phase. …”
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  10. 1430
  11. 1431

    Estimating Soil Hydraulic Parameters of Different Textured Soils in Semiarid Duhok Conditions - Iraqi-Kurdistan Region by using RETC Program by Akram Abbas Khalaf

    Published 2021-12-01
    “…RETC code was used to analyze soil water retention curve and hydraulic conductivity functions which are the key parameters in any quantitative description of water flow into the unsaturated zone of soils, van Genuchten et. al. (1991) …”
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  12. 1432

    Evaluating the Role of Space Syntax on Visual and Perceptual Experiences of the Environment (Case Study: Qajar Period Houses in Rasht) by Akram Esfandiari, Tahereh Koulivand

    Published 2022-10-01
    “…The results of this research confirm the relationship and correlation between the quantitative indicators of the depth map software and the qualitative indicators obtained from the visual experiences perceived from the space. …”
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  13. 1433

    Crop yield and water productivity modeling using nonlinear growth functions by Iman Hajirad, Khaled Ahmadaali, Abdolmajid Liaghat

    Published 2025-08-01
    “…To evaluate model performance, coefficient of determination (R²), normalized root mean square error (NRMSE), and mean absolute percentage error (MAPE) were used. …”
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  14. 1434

    The Influence of Work Discipline and Loyalty on Employee Performance at PT. Fajar Mandiri Barokah Sumedang Regency by Sudibyo Budi Utomo

    Published 2022-12-01
    “…The research method used in this research is descriptive and verification with a quantitative approach. Descriptive analysis is used to describe respondents' responses regarding research variables. …”
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  15. 1435

    The Use of Social Media Application as a Factor Influencing the Students' Decisions-Making to Enrol at Private Higher Education Institutions using Smart PLS by Aeshah Mohd Ali, Mohd Farid Shamsudin, Aina Mohd Ali, Mohd Fikri Ishak, Siti Aisyah Esa

    Published 2021-07-01
    “…The result shows a  significant positive relationship between social media application and students' decision-making indicated by a path coefficient of  0.630, t-value of 24.103, and p-value of 0.000.…”
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  16. 1436

    Diffusion-Weighted Imaging-Based Differentiating between Benign and Malignant Ovarian Lesions by Ali Reza Eftekhari Moghadam, Milad Jalilian, Forouzan Absalan, Farhad Heidari

    Published 2025-05-01
    “…The signals of DWI (qualitative) and ADC values (quantitative DWI) of the lesion components were analyzed separately. …”
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  17. 1437

    CAT score as a prognostic tool in low resource setting: Exploring the correlation between CAT score, exacerbation history with BODE Index in stable COPD by Jocelyn Anna Joseph, Vishwanath Vasant Pujari

    Published 2025-07-01
    “…Statistical: The correlation between quantitative variables was performed using Pearson and Spearman’s correlation coefficient, with P < 0.05 considered statistically significant. …”
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  18. 1438

    Entropy Based Parameter Estimation of 2D Gaussian Filter for Image Speckle Noise Removal by Zahra Hosseini, Mohammadreza Hassannejad Bibalan

    Published 2021-12-01
    “…The quality of filtered images is assessed through the qualitative and quantitative simulations in terms of peak signal to noise ratio (PSNR), correlation coefficient (CoC), structural similarity (SSIM), and equivalent number of looks (ENL). …”
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  19. 1439

    Understanding changing demand for police during the coronavirus pandemic by Reka Solymosi, Matthew Ashby, Nadia Kennar, Eon Kim, Karen Byrom, Alexander McMillan, Phoebe Liebelt

    Published 2025-04-01
    “…Methods The study employs a mixed-methods approach, combining quantitative analysis of call data with qualitative interviews. …”
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  20. 1440

    A Model for Regional‐Scale Water Erosion and Sediment Transport and Its Application to the Yellow River Basin by Cong Jiang, Eric J. R. Parteli, Yaping Shao

    Published 2025-05-01
    “…We use the AHMS‐SED to simulate the sediment processes in the Yellow River Basin from 1979 to 1987 at a 20 km resolution. We find quantitative agreement between the observations and model predictions for monthly sediment fluxes at five major hydrological stations along the Yellow River, with excellent performance metrics (modified Kling‐Gupta efficiency = 0.90, Nash–Sutcliffe model efficiency coefficient = 0.81) at the basin outlet. …”
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