Improve The Capacity Of Data Transmission In Orbital Angular Momentum Multiplexing By Adjusting Link Structure by Lin Zhao, Ting Jiang, Min Mao, Yangjie Zhang, Hongzhan Liu, Zhongchao Wei, Dongmei Deng, Aiping Luo

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Information Structure Representation And Extraction From A Corpus Of Patient Data, Using An Ontology by Christian Cote

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Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making by Gaftandzhieva Silvia N., Doneva Rositsa Zh., Bliznakov Milen P.

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Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

“…But the most important finding of the current research, which was obtained based on clustering analysis and knowledge map analysis, shows that the field of urban data mining has five subfields or main structural components: 1-Analysis of urban systems and smart cities, 2- Modeling and data analysis framework, 3- identifying patterns and predicting them along with visualization techniques, 4- big data and social media, 5- urban big data and traffic network; Of these, urban big data analysis is more recent than other sub-structures, and research in this field is mostly related to the years 2022 and 2023.…”
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Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

“…Abstract A large number of in-service reinforced concrete structures are now entering the mid-to-late stages of their service life. …”
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Hierarchical data structures in rendering scenes containing a massive number of light sources by Andrzej Lamecki, Krzysztof Kaczmarski, Joanna Porter-Sobieraj

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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

Subjects: “…structural health monitoring…”
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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…The study underscores the growing relevance of machine learning in simulating time-dependent deterioration processes in geotechnical and structural materials.…”
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Hot Structure Flight Data of a Faceted Atmospheric Reentry Thermal Protection System by Hannah Boehrk, Hendrik Weihs, Henning Elsäßer

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STUDY OF GULLY EROSION OF KAND STRUCTURE NW OF IRAQ BY USING REMOTE SENSING DATA by Mohammed Younis Salim Al-Allaf

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Combining satellite and field data reveals Congo's forest types structure, functioning and composition by Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain

“…We also described vegetation type structure and composition (floristic, functional and associated fauna) by linking the map with data from large inventories and derived from satellite images. …”
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Application Possibilities of Orthophoto Data Based on Spectral Fractal Structure Containing Boundary Conditions by József Berke

“…In the case of complex image data structures defined in different metric spaces, their measurement in metric space encounters many difficulties. …”
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Quantifying Tree Structural Change in an African Savanna by Utilizing Multi-Temporal TLS Data by Tasiyiwa Priscilla Muumbe, Jussi Baade, Pasi Raumonen, Corli Coetsee, Jenia Singh, Christiane Schmullius

“…Structural changes in savanna trees vary spatially and temporally because of both biotic and abiotic drivers, as well as the complex interactions between them. …”
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Framework for investigating structure cracking using real engineering data combined with physics constraints by Han Si, Qidi Wang, Xin Ruan, Xingpo Fang

“…Traditional analysis methods based on simplified physical mechanisms cannot accurately characterize the structural condition and neglect the value of the large amount of data generated during the construction process. …”
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Rescaling and Transforming Continuous Non-Normal Data in Covariance Structure Analysis: An Essay of Taxonomy by Jean-Pierre Lévy Mangin, Arantxa Sulé Alonso

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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…Owing to the inherent heterogeneity and complex internal structure of coal, a well-established method for predicting permeability based on microscopic fracture structures remains elusive. …”
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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…This research presents a more robust, data driven, small‐scale, flood damage estimation approach for residential buildings. …”
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Gliclazide MR in the structure of antihyperglycemic therapy according to the data of Moscow region diabetes register by I. V. Misnikova, Yu. A. Kovaleva, V. A. Gubkina, A. V. Dreval

“…This requires clarification.Aim: To examine Moscow Region DM register data for assessing ongoing antihyperglycemic therapy and its correspondence to current local and international T2DM treatment recommendations, as well as actual clinical recommendations for the treatment of T2DM patients and COVID-19.Materials and methods: The structure of glucose-lowering therapy with non-insulin drugs (NID) was studied in T2DM patients according to the data T2DM register of Moscow region. …”
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Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

“…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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DEVELOPMENT OF CLUSTER INTEGRATION WITH VARIAN BASED STRUCTURAL EQUATION MODELING TO MANAGE HETEROGENEOUS DATA by Hanifa Sepriadi, Atiek Iriany, Solimun Solimun, Adji Achmad Rinaldo Fernandes

“…This data is heterogeneous. When SEM is applied to heterogeneous data, there will be a risk of bias in estimating equations in the measurement and structural models because there are differences between groups in the data. …”
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