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  1. 6121

    Knowledge, Attitude, and Barriers to Fluoride Application as a Preventive Measure among Oral Health Care Providers by Aqdar A. Akbar, Noura Al-Sumait, Hanan Al-Yahya, Mohammad Y. Sabti, Muawia A. Qudeimat

    Published 2018-01-01
    “…A validated self-administered questionnaire was distributed to a random sample of 291 dentists. The questionnaire included four categories: dentists’ characteristics, knowledge of and attitude towards fluoride application, factors influencing decision-making on prescription of fluoride, and the clinician’s perception of own knowledge. …”
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  2. 6122

    Development of Pop-Up Book Media in Science Learning for Elementary School by Rhamdani Rhamdani, Zaka Hadikusuma Ramadan

    Published 2025-01-01
    “…The researcher's sampling technique used a simple random sampling technique. The sample in this study was one teacher and three class IV students. …”
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  3. 6123

    Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study by Zainab Abdulelah Al Sudani, Golam Saleh Ahmed Salem

    Published 2022-01-01
    “…In this study, four machine learning (ML) modeling approaches, extreme learning machine (ELM), gradient boosting machine (GBM), quantile random forest (QRF), and Gaussian process regression (GPR), have been developed to estimate the monthly evaporation loss over two stations located in Iraq. …”
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  4. 6124

    Machines’ Intelligent Fault Diagnosis Based on Hierarchical Refined Composite Generalized Multiscale Fluctuation Dispersion Entropy by Biwen Chen, Changsheng Chen, Zhenlai Ma, Guoping Li, Yi Zhang, Baoyue Li

    Published 2024-01-01
    “…Furthermore, low-frequency and high-frequency components of the data are comprehensively extracted using dual-tree complex wavelet packet transform (DTCWPT), and high-dimensional features are downscaled using t-distributed stochastic neighbor embedding (t-SNE) to obtain low-dimensional sensitive fault features. Subsequently, a Random Forest (RF) classifier is employed for fault identification. …”
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  5. 6125

    Finite Element Analysis of Effect of Double Shot Peening on Residual Stresses of 18CrNiMo7-6 Gear Steel by Wang Zhen, Sun Hao, Wang Guohao

    Published 2023-01-01
    “…Using the Abaqus software,a random pellet distribution shot peening model was created. …”
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  6. 6126

    Implementation of the Pancasila student profile strengthening project (p5) in early childhood education (PAUD) by Agus Ruswandi, Andina Alviona, Ghina Hasna, Ine Amelia, Jihan Nabilla

    Published 2024-08-01
    “…The sampling technique used is simple random sampling with a margin of error of 5%. A total of 78 PAUD teachers in the Buah Batu District, Bandung City, West Java Province. …”
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  7. 6127

    A software-defined multi-modal wireless sensor network for ocean monitoring by Hanjiang Luo, Xu Wang, Ziyang Xu, Chao Liu, Jeng-Shyang Pan

    Published 2022-01-01
    “…We first present the software-defined networking-based multi-modal network architecture, and then explore two examples of applications with this architecture: network deployment and coverage for intrusion detection with both grid-based and random deployment scenarios, and a novel underwater testbed design by incorporating radio frequency–acoustic multi-modal techniques to facilitate marine sensor network experiments. …”
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  8. 6128

    Utilizing UAV and orthophoto data with bathymetric LiDAR in google earth engine for coastal cliff degradation assessment by Paweł Tysiąc, Rafał Ossowski, Łukasz Janowski, Damian Moskalewicz

    Published 2025-01-01
    “…Our approach included change detection analysis to estimate eroded areas. Next, by applying Random Forest classifier within Google Earth Engine, we evaluated the importance of features in detecting these degraded zones. …”
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  9. 6129

    Investigating the effect of marketing on social networks with the mental image of customers of insurance companies in Kurdistan province by Hadi Hosein Panahi, Heresh Soltanpanah

    Published 2021-08-01
    “…The statistical population of this study included all insurance customers in Kurdistan province. By random sampling method, the sample size is 385 people. …”
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  10. 6130

    Buccal health in asthmatic patients. by Nora Sexto Delgado, Aracelis Navarro Sánchez, Mabay Ocampo Sexto, Joel González Beriao

    Published 2003-04-01
    “…<strong><br />Methods:</strong> A non match case and control study constituted by 100 children selected at simple random from the universe of asthmatic patients belonging to the General Comprehensive doctor offices number 7,9,10, 11, 43, and 44 from Area II in Cienfuegos municipality. …”
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  11. 6131

    Enhanced Neural Architecture for Real-Time Deep Learning Wavefront Sensing by Jianyi Li, Qingfeng Liu, Liying Tan, Jing Ma, Nanxing Chen

    Published 2025-01-01
    “…To achieve real-time deep learning wavefront sensing (DLWFS) of dynamic random wavefront distortions induced by atmospheric turbulence, this study proposes an enhanced wavefront sensing neural network (WFSNet) based on convolutional neural networks (CNN). …”
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  12. 6132

    Creation and interpretation of machine learning models for aqueous solubility prediction by Minyi Su, Enric Herrero

    Published 2023-10-01
    “…Results: Among the different ML methods, random forest (RF) models obtain the best performance in the different test sets. …”
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  13. 6133

    Peran Dukungan Keluarga Dalam Menurunkan Diabetes Distress Pada Pasien Diabetes Mellitus Tipe II by Hidayatul Rahmi, Hema Malini, Emil Huriani

    Published 2020-01-01
    “…Pengambilan sampel secara simple random sampling untuk mendapatkan 64 orang (32 orang tiap kelompok). …”
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  14. 6134

    Social and Institutional Status of Area Exclosure in North Wollo and Waghemira Zones, Northeastern Ethiopia by Melkamu Kassaye Mekonen, Abrham Abiyu Hailu, Asmamaw Alemu Abitew

    Published 2022-01-01
    “…The questionnaire survey was administered to households near the selected exclosures for both user and nonuser groups selected with simple random sampling. Required data were collected and analyzed by descriptive and inferential statistics and then compared against the best practices of Ostrom’s design principles (ODPs). …”
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  15. 6135

    Modelization and Calibration of the Power-Law Distribution in Stock Market by Maximization of Varma Entropy by Chang Liu, Chuo Chang

    Published 2023-01-01
    “…Since the variance of the real stock portfolio may be a random variable, using the mean-VaR-ES constraints to maximize the Varma entropy effectively avoids the problem of assuming that the variance is a constant value under the traditional mean-variance constraint. …”
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  16. 6136

    THE CORRELATION OF ADOLESCENT EMOTIONAL STABILITY TO ACADEMIC STRESS AT SMAN 3 TANGERANG REGENCY by Ika Apriliana Nur Hidayati, Abdul Santoso

    Published 2022-05-01
    “…The technique used is Stratified Random Sampling. Collecting data using a questionnaire of emotional stability and academic stress. …”
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  17. 6137

    Healthcare Professional’s Perception of Patient Safety Measured by the Hospital Survey on Patient Safety Culture: A Systematic Review and Meta-Analysis by Julia Hiromi Hori Okuyama, Tais Freire Galvao, Marcus Tolentino Silva

    Published 2018-01-01
    “…For each dimension, a random effects meta-analysis with double-arcsine transformation was performed, as well as meta-regressions to investigate heterogeneity, and tests for publication bias. …”
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  18. 6138

    Molecular Modeling and Simulation Analysis of Antimicrobial Photodynamic Therapy Potential for Control of COVID-19 by Maryam Pourhajibagher

    Published 2022-01-01
    “…The predicted structure of SARS-CoV-2-SG displayed that it is a protein with a positive charge and random coil dominates other secondary structures located outside the viral cell. …”
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  19. 6139

    Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news by Maulana Ihsan Ahmad, Moh. Kanif Anwari

    Published 2024-09-01
    “…The research evaluated five classification models: Naive Bayes, Support Vector Machine (SVM), Logistic Regression, Random Forest, and Gradient Boosting. Among these, SVM achieves the highest overall accuracy of 90%. …”
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  20. 6140

    Major Organic Involvement in Women with Fabry Disease in Argentina by Fernando Perretta, Norberto Antongiovanni, Sebastián Jaurretche

    Published 2018-01-01
    “…Organic involvement in men is well known, but in women it is controversial, partly due to the random X-chromosomes inactivation (Lyon hypothesis). …”
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