RETRACTED: An Adaptive Hierarchical Network Model for Studying the Structure of Economic Network by Xiaoteng Yang, Zhenqiang Wu, Shumaila Javaid

“…In the presented dynamically evolving network model, new directed edges are generated depending on the existing nodes and the hierarchical structures among the network, and these edges decay over time. …”
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Bayesian Network in Structural Health Monitoring: Theoretical Background and Applications Review by Qi-Ang Wang, Ao-Wen Lu, Yi-Qing Ni, Jun-Fang Wang, Zhan-Guo Ma

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Scanning the Universe for Large-Scale Structures Using Gamma-Ray Bursts by Istvan Horvath, Zsolt Bagoly, Lajos G. Balazs, Jon Hakkila, Bendeguz Koncz, Istvan I. Racz, Peter Veres, Sandor Pinter

Subjects: “…cosmology: large-scale structure of the universe…”
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Beyond contrastive learning: adaptive graph representations with mutual information maximization for blockchain and structured data by Yifeng Zhang, Qianqian Ren, Yourong Chen, Meng Han

“…Abstract Graph representation learning has emerged as a powerful approach for modeling structured data across diverse domains, including social networks, biochemical interactions, and financial transaction systems. …”
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Identifying the diagnostic gap of tardive dyskinesia: an analysis of semi-structured electronic health record data by Kira Griffiths, Yida Won, Zachery Lee, Lu Wang, Christoph U. Correll, Rashmi Patel

“…Results Altogether, 1,301 (4.0%) patients had either description of abnormal movements associated with TD (n=691) or documented TD (n=610) within semi-structured EHR data. Of those patients, only 64 (4.9%) had an ICD-TD diagnosis in structured EHR data. …”
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Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis by Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D’Agostino, Xin Li, Yilin Ning, Yuqing Shang, Ziwen Wang, Molei Liu, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu

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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

“…CORD is a model that allows for dual input types: structured data from air quality data collected with meteorological cameras and images (unstructured data) from monitoring stations. …”
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Semi-automatic staging area for high-quality structured data extraction from scientific literature by Luca Foppiano, Tomoya Mato, Kensei Terashima, Pedro Ortiz Suarez, Taku Tou, Chikako Sakai, Wei-Sheng Wang, Toshiyuki Amagasa, Yoshihiko Takano, Masashi Ishii

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A Structured Data Model for Asset Health Index Integration in Digital Twins of Energy Converters by Juan F. Gómez Fernández, Eduardo Candón Fernández, Adolfo Crespo Márquez

“…First, the proposed AHI methodology is introduced, and after a structured data model specifically designed, orientated to a basic and economic cloud implementation architecture. …”
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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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Exploring Structural Characteristics of Lattices in Real World by Yu Chen, Jinguo You, Benyuan Zou, Guoyu Gan, Ting Zhang, Lianyin Jia

“…To the best of our knowledge, no work has paid enough attention to this challenging issue from the perspective of graph data, in spite of the importance of structures in lattice data. …”
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Frontiers in integrative structural modeling of macromolecular assemblies by Kartik Majila, Shreyas Arvindekar, Muskaan Jindal, Shruthi Viswanath

“…Integrative modeling enables structure determination for large macromolecular assemblies by combining data from multiple experiments with theoretical and computational predictions. …”
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Rapid structural analysis of bacterial ribosomes in situ by Barrett M. Powell, Tyler S. Brant, Joseph H. Davis, Shyamal Mosalaganti

“…Abstract Rapid structural analysis of purified proteins and their complexes has become increasingly common thanks to key methodological advances in cryo-electron microscopy (cryo-EM) and associated data processing software packages. …”
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Anatomical characteristics and structural features of the optic nerve by T. N. Kiseleva, A. V. Baeva, E. K. Eliseeva, K. V. Lugovkina

“…The review presents literature data about the anatomical structure, morphology and structural features of the optic nerve (ON). …”
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STRUCTURAL ANALYSIS OF CYCLOSPORIN-A BY RAMAN TECHNIQUE

“…It may have some reverse P- turn structure in what has been assigned to a random coil conformation.…”
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Computational Analysis of the Structural Composition of Coronavirus Genomes by M. V. Sprindzuk, V. I. Bernik, A. S. Vladyko, L. Zhuozhuang, L. P. Titov

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Structural and computational studies of HIV-1 RNA by Lev Levintov, Harish Vashisth

“…Here, we review structural data on RNA from the HIV-1 genome as well as computational studies based on these structural data. …”
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Structural Health Monitoring by Fiber Optic Sensors by Alfredo Guemes, Luis Eduardo Mujica, Daniel del-Río-Velilla, Antonio Fernandez-Lopez

“…In this paper, we compare algorithms based on multivariate data analysis as well as data processing using neural networks, comparing their performance on a real structure.…”
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Left ventricular structural heterogeneity and myocardial remodelling by A. M. Naidich

“…Correlation analysis performed between data of LV remodel-ing and its structural heterogeneity revealed strong correlation events studied in the heart. …”
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