Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

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Reforms of the higher school: philosophy and methodology of development of personality creativity as professional competence in the realization of the concept of noospheric educat... by Tatiana I. Gritskevich

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Physics-based machine learning for predicting urban air pollution using decadal time series data by Cog Cao, Ramit Debnath, R Michael Alvarez

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Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial by Siyu Huang, Chang Wen, Xueying Bai, Sihong Li, Shuining Wang, Xiaoxuan Wang, Dong Yang

“…ChatGPT, an advanced conversational artificial intelligence model developed by OpenAI, is gradually being used in medical education. …”
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RTCi versus OSBC teaching method in eight-year medical program: a randomized, controlled educational research by Lu Wang, Ben Zhao, Xiaohui Wang, Minghao Guo, Lu Wang, Lei Dou, Yinan Sun

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The Effect of The Training Program Using (Paper Marbling) Technique on The Ability to Draw and Achievement of Students in The Department of Art Education by Awaz Mirza Faraj, Sabir Bakr Mustafa

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Enhancing Energy Efficiency of Sensors and Communication Devices in Opportunistic Networks Through Human Mobility Interaction Prediction by Ambreen Memon, Sardar M. N. Islam, Muhammad Nadeem Ali, Byung-Seo Kim

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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

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Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2 by D. Patoulias, K. Florou, S. N. Pandis, S. N. Pandis

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Enhancing Stroke Risk Prediction: Leveraging Machine Learning and Magnetic Resonance Imaging Data for Advanced Assessment by Pranav Kunderu, Salik Mian, Shivm Patel

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Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach by Gregorius Airlangga

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Strengthening health sector capacities through permanent health education: workshops addressing public health emergencies in Brazil by Taynná Vernalha Rocha Almeida, Danielly Portes Schelle, Paula Orofino Moura Costa, Isabella de Oliveira Campos Miquilin, Caroline Martins José dos Santos, Paola Freitas de Oliveira, Joelma Ferreira Gomes Castro, Leonora Rios de Souza Moreira, Vinicius Chozo Inoue, Edenilo Baltazar Barreira Filho, Edenilo Baltazar Barreira Filho, Márcio Henrique de Oliveira Garcia

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Psychometric Properties of a Neuropsychological Assessment Scale for Diagnosing Alzheimer's Disease in the Illiterate and Low-Educated Subjects in Iran by Ameneh Ahmadi, Maryam Noroozian, Mohsen Kachooei, Zahra Hooshyari, Aram Golsokhan

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From parental education to under-5 mortality: how antenatal care and hand hygiene mediate the pathway mechanisms by Tapas Mazumder, Itismita Mohanty, Danish Ahmad, Theo Niyonsenga

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A Hybrid Machine Learning Framework for Soccer Match Outcome Prediction: Incorporating Bivariate Poisson Distribution by Chen Zhong An

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MODEL PENEMUAN KONSEP BERBASIS TEKS PADA PEMBELAJARAN SASTRA by Nazla Maharani Umaya

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Compilation and analysis of thaw settlement test results: implications for prediction tools and stress–strain characterization in permafrost by Z. Mohammadi, J. L. Hayley

“…The dataset is accessible at <a href="https://doi.org/10.5281/zenodo.15192404">https://doi.org/10.5281/zenodo.15192404</a> (Mohammadi and Hayley, 2024c), and the results presented in this paper are based on version 1.2.1 of the dataset. …”
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Prediction of the 3D cancer genome from whole-genome sequencing using InfoHiC by Yeonghun Lee, Sung-Hye Park, Hyunju Lee

“…In addition, we provide trained models for cancer Hi-C prediction from WGS at https://github.com/dmcb-gist/InfoHiC , uncovering the impacts of SVs in cancer patients and revealing novel therapeutic targets.…”
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Reducing Mesh Dependency in Dataset Generation for Machine Learning Prediction of Constitutive Parameters in Sheet Metal Forming by Dário Mitreiro, Pedro A. Prates, António Andrade-Campos

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Accuracy of genome-enabled polygenic risk score prediction of cruciate ligament rupture risk in the Labrador Retriever by Benjamin Miranda, Mehdi Momen, Susannah J. Sample, Peter Muir

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