COMPARATIVE ANALYSIS OF QUANTITATIVE COMPUTED TOMOGRAPHY DATA AND HISTOLOGICAL FINDINGS IN PATIENTS WITH GIANT CELL BONE TUMOR TREATED WITH DENOSUMAB by S. A. Tabakaev, I. G. Frolova, I. I. Anisenya, N. V. Vasilyev, A. V. Bogoutdinova, P. K. Sitnikov

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Reinforcement Learning for Data-driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration by Brian M. Kirk, Urvashi Rau, Ramyaa Ramyaa

“…Data processing consists of a sequence of calibration and analysis procedures where choices must be made about the sequence of procedures as well as the specific configuration of the procedure itself. …”
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Does the intervention approach matter for improving 24-hour physical behaviours among overweight and obese Brazilian office workers? by Luiz Augusto Brusaca, Nidhi Gupta, David M. Hallman, Andreas Holtermann, Dechristian França Barbieri, Ana Beatriz Oliveira

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Urban Canopy Parameters’ Computation and Evaluation in an Indian Context Using Multi-Platform Remote Sensing Data by Kshama Gupta, Bhoomika Ghale, Ashutosh Bhardwaj, Anshika Varshney, Shweta Khatriker, Vinay Kumar, Prasun Kumar Gupta, Pramod Kumar

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E3RC: A step-by-step computational protocol for exploring enhancer RNA expression and regulation using conventional RNA-seq data by Hua Yu, Yunjie Liu, Zhouming Zhang, Guanglei Xie, Jingyu Liu, Yijia Liu, Siyue He, Zhiwei Peng, Lu Lu, Fei Li, Xi Wang

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Comparative analysis of the measurement parameters of the palatine tonsils according to LC and CBCT data by M. E. Balashova, Z. S. Khabadze, V. I. Popadyuk

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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…The system supports the use of two NDE methods, Acoustic Emission (AE) and Digital Image Correlation (DIC), providing interactive and intuitive views for observing composite material damage features. In addition, the system features a fusion analysis approach and a view that combines AE and DIC methods, enabling users to explore the correlations and trends in multimodal data generated during the material damage process. …”
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Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents by Marcus V. V. Lopes, Ian Janssen, Bruno G. G. da Costa, Bruno N. de Oliveira, Gabrielli T. de Mello, Jean-Philippe Chaput, Kelly S. Silva

“…Compositional multilevel models were applied to compare the 24-h movement behaviour composition between time points for both cross-sectional and prospective data. …”
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Bayesian deconvolution for computational cognitive modeling of fMRI data by Jonathon R. Howlett, Katia M. Harlé, Alan N. Simmons, Charles T. Taylor

“…A central goal of cognitive neuroscience is to make inferences about underlying cognitive processes from observable data. However, current fMRI analysis tools cannot directly estimate latent parameters in computational cognitive models from blood-oxygen-level-dependent (BOLD) signal. …”
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Dna-storalator: a computational simulator for DNA data storage by Gadi Chaykin, Omer Sabary, Nili Furman, Dvir Ben Shabat, Eitan Yaakobi

“…The rates are based on comprehensive analysis of data from previous experiments but can also be customized. …”
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Big data, big responsibilities by Primavera De Filippi

Subjects: “…Big data…”
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Formalization for Subsequent Computer Processing of Kara Sea Coastline Data by Daria Bogatova, Stanislav Ogorodov

“…The study analyzed key coastal features, including lithology, permafrost, and geomorphology, using a combination of field studies and remote sensing data. Essential datasets were compiled and formatted for computer-based analysis. …”
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Optimizing healthcare big data performance through regional computing by Tariq Alsahfi, Afzal Badshah, Omar Ibrahim Aboulola, Ali Daud

“…This proliferation of digital tools generates vast quantities of healthcare data. Efficient and timely analysis of this data is critical for enhancing patient outcomes and optimizing care delivery. …”
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Applications of big data cognitive computing in content security governance by Xuetao DU

“…In the communication network, there is a mass of bad information needed to be read and understood to extract useful knowledge and features for governance.Methods based on manual analysis can not achieve this goal.It is necessary to adopt the big-data-based cognitive computing technology to help to understand massive data and customize content security strategies.Aiming at four practical problems including telecommunication fraud governance, bad message governance, variant message governance and bad website governance, the big data cognitive computing solutions were put forward, and the practical results were given.The results show that the solutions could find the bad information quickly, and improve the quality of the content security governance effectively.…”
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The Shapley Value in Data Science: Advances in Computation, Extensions, and Applications by Lei Qin, Yingqiu Zhu, Shaonan Liu, Xingjian Zhang, Yining Zhao

“…Recent extensions, such as Distributional Shapley and Weighted Shapley, have broadened the applications to data valuation, reinforcement learning, feature interaction analysis, and multi-party cooperation. …”
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Insight into territorial efficiency of circular economy through data envelopment analysis by Ivana Marjanović, Jelena J. Stanković, John Östh, Milan Marković, Marina Stanojević

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Real-time analysis of Delphi panel data to facilitate iterative rating within meetings by Julien B. Weinstein, Cainnear K. Hogan, Taylor Whittington, Jennifer Cano, Sarah M. Seelye, Jeremy B. Sussman, Steven J. Bernstein, Hallie C. Prescott

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Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis by Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, S. Saranya

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Big data-based reference centiles for body composition in Korean children and adolescents: a cross-sectional study by Dohyun Chun, Seo Jung Kim, Junghwan Suh, Jihun Kim

“…Conclusions This study produced age- and sex-specific reference percentiles for body composition indices in Korean children and adolescents using extensive biometric data.…”
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Reduced order data driven framework for computation of the unsteady lid-driven cavity flow using dynamic mode decomposition by Karim Mazaheri, Mohammad Kazem Moayyedi, Mohammad Hadi Dehghan

“…They were used to achieve reduced-order models for predicting dynamic behavior of the flow field. Validation of CFD computation was assessed, and independence of the DMD modes from the data collection process was investigated. …”
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