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  1. 18541
  2. 18542

    Artificial intelligence (AI) in restorative dentistry: current trends and future prospects by Mariya Najeeb, Shahid Islam

    Published 2025-04-01
    “…Key challenges include data privacy concerns, algorithmic bias, interpretability of AI decision-making processes, and the need for standardized AI training programs in dental education. …”
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  3. 18543

    Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model by Bifeng Hu, Yibo Geng, Hanjie Ni, Zhou Shi, Zheng Wang, Nan Wang, Jipeng Luo, Modian Xie, Qian Zou, Thomas Optiz, Hongyi Li

    Published 2025-08-01
    “…The competitive adaptive reweighted sampling algorithm − partial least square (CARS-PLS) algorithm is adopted to select the most related covariates from the original covariates pool. …”
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  4. 18544
  5. 18545

    Combinations of multimodal neuroimaging biomarkers and cognitive test scores to identify patients with cognitive impairment by Yuriko Nakaoku, Soshiro Ogata, Kiyotaka Nemoto, Chikage Kakuta, Eri Kiyoshige, Kanako Teramoto, Kiyomasa Nakatsuka, Gantsetseg Ganbaatar, Masafumi Ihara, Kunihiro Nishimura

    Published 2025-08-01
    “…Finally, MCI identification models were developed using a penalized logistic regression model with an elastic net algorithm.ResultsAmong the 148 participants (mean age, 78.6 ± 5.2 years), 44.6% were identified as having MCI. …”
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  6. 18546

    Verrucous leukoplakia of the red border caused by the use of IQOS heated tobacco product (a case report) by H. I. Makurina, O. I. Мakarchuk, I. P. Dmytrenko, A. V. Holovkin, I. А. Sokolovska, A. S. Chornenka

    Published 2020-12-01
    “…To analyze possibility of development and describe the clinical case of the red border verrucous leukoplakia caused by the use of IQOS heated tobacco product and HEETS sticks and propose personalized clinical, diagnostic and therapeutic algorithm of a patient management. Materials and methods. …”
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  11. 18551

    Implementasi Algoritma TOPSIS dan Metode EUCS untuk Pengujian Sistem Penilaian Kinerja Pegawai pada Laboran Fakultas Teknologi Informasi UKSW Salatiga by Andreas Arga Rinjani Saputro, Kristoko Dwi Hartomo

    Published 2020-12-01
    “…Abstract Laboratory employee is a education labor which help process learning college student within part of vocational and academic. …”
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    Komparasi Machine Learning Berbasis Pso Untuk Prediksi Tingkat Keberhasilan Belajar Berbasis E-Learning by Elin Panca Saputra, Siti Nurajizah, Mawadatul Maulidah, Nadiyah Hidayati, Taufik Rahman

    Published 2023-04-01
    “…While the attributes that have an influence to determine the algorithm on the level of accuracy are Practice Questions, Quizzes, Mid-Semester Exams, and Final Exams. it is evident from our previous studies that the PSO-based neural network algorithm does have a very good advantage. based on ANN is a method that has calculations that build several units of interconnected connectivity, the ANN method with predictive accuracy can be an efficient and good tool for forecasting and classification research in the field of education. …”
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    Associations between exposure to multiple environmental chemicals and metabolic syndrome: A mixture analysis by Ruiqiang Li, Xiaoyi Lin, Tingyu Lu, Jiao Wang, Ying Wang, Lin Xu

    Published 2024-12-01
    “…We used machine learning methods including Boruta algorithm and least absolute shrinkage and selection operator (LASSO) regression, combined with weighted quartiles sum (WQS) regression to investigate the associations of phenols, polycyclic aromatic hydrocarbons (PAHs), metals, and phthalates with MetS and its components. …”
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    Maternal epigenetic index links early neglect to later neglectful care and other psychopathological, cognitive, and bonding effects by Inmaculada León, Daylín Góngora, María José Rodrigo, Silvia Herrero-Roldán, Maykel López Rodríguez, Colter Mitchell, Jonah Fisher, Yasser Iturria-Medina

    Published 2025-03-01
    “…Differential methylation between groups was utilized to derive the EMNs adjusted for education level, age, experimental variables, and blood cell types in saliva samples. …”
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