Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…Objective: Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. …”
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Multi-scale Hochschild spectral analysis on graph data by Yunan He, Jian Liu

“…These innovations enabled us to extract multiscale topological and geometric features from graph data. We demonstrated the effectiveness of our method by analyzing the molecular structures of common drugs, such as ibuprofen and aspirin, producing visualized Hochschild feature curves that capture intricate topological properties. …”
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Textual Data Science for Logistics and Supply Chain Management by Horst Treiblmaier, Patrick Mair

“…So far, however, the potential of textual data science has not been fully exploited to automatically analyze large chunks of textual data and to extract relevant insights. …”
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A Framework for Rapidly Prototyping Data Mining Pipelines by Flavio Corradini, Luca Mozzoni, Marco Piangerelli, Barbara Re, Lorenzo Rossi

“…Rainfall enables the visual programming, execution, monitoring, and management of data mining pipelines, lowering the barrier for non-technical users. …”
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Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

“…We evaluate the method on twenty benchmark tabular imbalanced datasets, spanning diverse sample sizes and imbalance ratios, and demonstrate its superiority over several state-of-the-art data-level and algorithmic-level methods. Furthermore, simulated datasets with visually interpretable structures showcase the model’s generalization capacity. …”
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Review of Big Data Implementation and Expectations in Smart Cities by Yingnan Zhuang, Jeremy Cenci, Jiazhen Zhang

“…Under the guidance of the United Nations, global research on big data and smart cities is progressing. Using the Web of Science (WOS) Core Collection as the data source, an exhaustive visual analysis was conducted, revealing various aspects, including the literature output, journal distribution, geographic study trends, research themes, and collaborative networks of scholars and institutions. …”
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Review and prospect of floating car data research in transportation by Chi Zhang, Yuming Zhou, Min Zhang, Bo Wang, Yuhan Nie

“…With the advancement of intelligent transportation systems, floating car data (FCD), as a crucial source of transportation information, has garnered increasing attention for its applications and development directions within the context of massive traffic data. …”
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Mapping MAVE data for use in human genomics applications by Jeremy A. Arbesfeld, Estelle Y. Da, James S. Stevenson, Kori Kuzma, Anika Paul, Tierra Farris, Benjamin J. Capodanno, Sally B. Grindstaff, Kevin Riehle, Nuno Saraiva-Agostinho, Jordan F. Safer, Jonathan Casper, Maximilian Haeussler, Aleksandar Milosavljevic, Julia Foreman, Helen V. Firth, Sarah E. Hunt, Sumaiya Iqbal, Melissa S. Cline, Alan F. Rubin, Alex H. Wagner

“…Within these applications, MAVE variants can now be visualized and integrated with other relevant clinical and biological data, making additional knowledge available when performing variant interpretation and conducting other research activities. …”
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Septal panniculitis as manifestation of COVID-19: own data by O. N. Egorova, R. G. Goloeva, D. I. Abdulganieva

“…Based on the anamnesis data, COVID-19 in the study cohort had mild (in 13 patients) and moderate (in 8) severity. …”
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Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model by Chunyu Lei, Anhui Fu, Bin Li, Shengfu Zhou, Jun Liu, Yu Cao, Bo Zhou

“…An improved machine learning model was employed to analyze patient clinical data, aiding in the construction of a prediction model for poor prognosis in intracranial aneurysm endovascular intervention. …”
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Quantifying optimal inner limiting membrane peeling in macular hole surgery: a machine learning framework for predictive modeling and schematic visualization by Xiang Zhang, Hongjie Ma, Song Lin, Ledong Zhao, Lu Chen, Zetong Nie, Zhaoxiong Wang, Chang Liu, Xiaorong Li, Wenbo Li, Bojie Hu

“…Methods This retrospective study analyzed data from 95 patients with idiopathic MH who underwent vitrectomy with ILM peeling. …”
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Transferring Fire Modelling Sciences into Augmented Reality: A Realistic and Safe Reconstructed Fire Scenario by Jason C. S. Wong, Peter S. P. Wong, Raj Das, Anthony C. Y. Yuen, Sherman C. P. Cheung

“…To address these limitations, this study pioneers a novel augmented reality (AR) platform that, for the first time, integrates real-time, scientifically accurate fire dynamics simulations with immersive visualisations. Unlike existing approaches, the proposed AR workflow offers an end-to-end process, from geometry extraction, fire simulation, and data processing to visualisation in real-world settings. …”
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Wastewater-based epidemiology: deriving a SARS-CoV-2 data validation method to assess data quality and to improve trend recognition by Cristina J. Saravia, Peter Pütz, Christian Wurzbacher, Anna Uchaikina, Jörg E. Drewes, Ulrike Braun, Claus Gerhard Bannick, Nathan Obermaier

“…The exclusion of datapoints based on QCP plausibility checks predominantly improves data quality. Our derived data quality categories are in good accordance with visual assessments.ConclusionGood data quality is crucial for trend recognition, both on the WWTP level and when aggregating data from several WWTPs to regional or national trends. …”
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Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…Subsequently, for consecutive frames, feature point extraction (the Shi–Tomasi method) and optical flow computation (the Lucas–Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. …”
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The value of non-enhanced CT 3D visualization in differentiating stage Ⅰ invasive lung adenocarcinoma between LPA and non-LPA by Jinxin Chen, Xinyi Zeng, Feng Li, Jidong Peng

“…When integrated with pertinent clinical data, this offers essential guidance for developing various surgical techniques and treatment plans.…”
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The impact of comorbidities on the all-cause mortality of surgically treated non-small cell lung cancer patients - visualization with the aid of a comorbidome by Julia Zimmermann, Julia Walter, Mircea Gabriel Stoleriu, Julia Kovács, Gökce Yavuz, Fuad Damirov, Niels Reinmuth, Martina Merk, Rudolf A. Hatz, Amanda Tufman, Christian P. Schneider

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Worldwide hotspots and trends in stem cell therapy for kidney disease in the last decade: a bibliometric and visualization analysis from 2015 to 2024 by Shengchun Liao, Shengchun Liao, Shengchun Liao, Xinyue Zhang, Yiting Zhou, Yiting Zhou, Yiting Zhou, Lingchen Wang, Lingchen Wang, Chi Chen, Chi Chen, Chaoyang Ye, Chaoyang Ye, Yuan Zhou, Yuan Zhou, Yuan Zhou, Chen Wang, Chen Wang, Chen Wang

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Relationship between different methods of visualization of hip joint lesions in patients with axial spondyloarthritis during a two-year observational study by E. M. Agafonova, Sh. Erdes

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Dynamics of link formation in networks structured on the basis of predictive terms by S. O. Kramarov, O. R. Popov, I. E. Dzhariev, E. A. Petrov

“…Visual cluster analysis of the range of 645-3364 terms in the 2004-2021 dynamics of the memory and data storage technologies category, which are integrated into a total of 23 clusters, revealed active cluster formation in the field of the term quantum memory. …”
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Multispectral Imaging Method in Laparoscopy by Xin Yang

“…Development of a method for multispectral data visualization, which provides a physician with an image that combines white light data and a color-highlighted area of lesions.Materials and methods. …”
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