Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation by Yuxiang Liao, Haishan Xiang, Hantao Liu, Irena Spasic

“…We developed a joint entity and relation model and proposed a novel auxiliary component to enhance the model performance by interpreting token-level information. Using the annotated data, we trained the model for automatically converting information from a narrative radiology report into the structured representation, which achieved a micro-F1 of 96.6% and 96.1% on named entity recognition, 94.0% and 89.8% on entity attribute recognition, and 89.5% and 86.6% on relation extraction, on the MIMIC-CXR and CheXpert test sets, respectively. …”
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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…The exponential growth of Real-World Data (RWD), primarily collected from IoT sensors and spanning domains such as mobility, environment, and energy consumption, presents critical challenges due to its scale, heterogeneity, and structural variability. …”
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…The intensive care unit (ICU), a data-rich setting, faces challenges with high-frequency, unstructured monitor data. …”
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Adaptation of k-means to automated forecasting of poorly structured time series of economic dynamics by Dunskaia Lada, Popova Elena

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Semantic web ontology for structured knowledge representation and clinical decision support in eye diseases by Fatima Anjum, Fahad Maqbool, Muhammad Saad Razzaq, Hafiz Muhammad Faisal Shehzad, Shujaat Ali, Dilawar Shah, Muhammad Tahir, Muhammad Ilyas

“…Ontologies are used as excellent tools for organizing and managing complicated information due to their structured representations of domain knowledge and to make data more findable, accessible, interoperable, and reusable. …”
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Cross-Filter Structured Pruning for Efficient Sparse CNN Acceleration by Ngoc-Son Pham, Sangwon Shin, Lei Xu, Weidong Shi, Taeweon Suh

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Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords by Mouna Garai, Maha Sliti, Noureddine Boudriga, Manel Mrabet, Sarra Ayouni, Abdelrahman Elfikky, Ayman Boghdady, Syed Agha Hassnain Mohsan, Lassaad Ben Ammar

“…This study introduces a tree-structured communication architecture utilizing hierarchical optical codewords to enhance data routing efficiency and establish a vehicle identification system. …”
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Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…Abstract Graphs are widely used to model interconnected systems, offering powerful tools for data representation and problem-solving. However, their reliance on pairwise, single-type, and static connections limits their expressive capacity. …”
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Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data. by Nathan J Hostetter, Nicholas J Lunn, Evan S Richardson, Eric V Regehr, Sarah J Converse

“…We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. …”
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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. …”
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Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification by Radiah Haque, Hui-Ngo Goh, Choo-Yee Ting, Albert Quek, M.D. Rakibul Hasan

“…The primary objective is to determine whether converting structured data into text format improves model accuracy. …”
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Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study by Charlotte A W Albers, Yvonne Wieland-Jorna, Martine C de Bruijne, Martin Smalbrugge, Karlijn J Joling, Marike E de Boer

“…The findings will be used to formulate recommendations aimed at enhancing standardized and structured data recording for the reuse of EHR data. …”
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Zones of concentrated deformation (flower structures): field observations and modeling data by M. G. Leonov, Yu. A. Morozov, Yu. P. Stefanov, R. A. Bakeev

“…The field study results combined with the data of tectonophysical and computational modeling data and supplemented by the literature analysis gave grounds for the following conclusions. …”
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THE USE OF DYNAMIC DATA PROCESSING STRUCTURES ON THE EXAMPLE OF LIST TRANSFORMATION TASKS by D. V. Zdor

Subjects: “…data structures…”
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Traversal Caches: A Framework for FPGA Acceleration of Pointer Data Structures by James Coole, Greg Stitt

“…Unfortunately, FPGA usage has largely been limited to applications exhibiting sequential memory access patterns, thereby prohibiting acceleration of important applications with irregular patterns (e.g., pointer-based data structures). In this paper, we present a design pattern for RC application development that serializes irregular data structure traversals online into a traversal cache, which allows the corresponding data to be efficiently streamed to the FPGA. …”
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Hospital Accessibility Catchment Areas as a Fuzzy Lattice Data Structure by M. de Klerk, I. Fabris-Rotelli

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Photogrammetric data analysis for fortified architecture. Survey of currently disused structures by G. Gioioso, L. Corniello

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A survey of persistent index data structures on non-volatile memory by Yongfeng WANG, Zhiguang CHEN

Subjects: “…storage system;non-volatile memory;persistent index data structure;performance optimization…”
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Data Interpretation in Structural Health Monitoring: Toward a Universal Language by Magda Ruiz, Óscar Gualdrón, José A. Peral Mondaza, Luis Eduardo Mujica Delgado

Subjects: “…Structural Health Monitoring (SHM)…”
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An efficient data-driven optimization framework for elastically isotropic lattice structures by Zhengtao Shu, Hao Li, Liang Gao

“…The elastic properties of an isotropic lattice are direction-independent, ensuring a consistent stress–strain response of the structure to loads in any spatial direction. This paper presents a data-driven approach to optimize the elastically isotropic properties of lattice structures efficiently. …”
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