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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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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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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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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Determination of the structure of the earth's crust by changing the velocity of seismic waves from the earthquake data by B. I. Shakhtarin, T. G. Aslanov, H. D. Magomedov, H. Yu. Tagirov

“…Objective. A study of the structure of the earth's crust by determining the velocities of seismic waves from previously broken sections of the earth's crust.Methods. …”
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Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory by Chang-Sheng Xiang, Hai-Long Liu, Yu Zhou, Chen-Yu Liu, Li-Xian Wang

“…The first three order modes data of each index are fused in the first level, and their results are further fused between indexes in the second level, which will be applied for damage position judgement; moreover, results of the second level as input are last fused in the third level in order to predict structural damage degree. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Structural Health Monitoring requires the continuous assessment of a structure’s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. …”
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Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome. by Sean M Cascarina, Mikaela R Elder, Eric D Ross

“…A variety of studies have suggested that low-complexity domains (LCDs) tend to be intrinsically disordered and are relatively rare within structured proteins in the Protein Data Bank (PDB). …”
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Stock market trading via actor-critic reinforcement learning and adaptable data structure by Cesar Guevara

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Comparison of sequence- and structure-based antibody clustering approaches on simulated repertoire sequencing data. by Katharina Waury, Stefan Lelieveld, Sanne Abeln, Henk-Jan van den Ham

“…A comprehensive comparison of the benefits and limitations of structure-based tools on realistic and diverse repertoire data is missing. …”
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Digital Educational History Database Structure for Solving Learning Analytics Tasks by Tatyana Zykova, Alexey Kytmanov, Tatyana Kustitskaya, Roman Esin

“…Based on an analysis of existing information systems and databases of Siberian Federal University, we propose an approach to designing the structure of the university education database, including various levels of detail of student data. …”
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Pulsar Scattering as a Probe for Structures in the Interstellar Medium by Qiuyi He, Xun Shi, Guangxing Li

“…However, a connection between large-scale pulsar scattering data and the structure of the Galactic ISM has yet to be established. …”
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Regulatory roles of three-dimensional structures of chromatin domains by Kelly Yichen Li, Qin Cao, Savio Ho-Chit Chow, Chiara Nicoletti, Pier Lorenzo Puri, Huating Wang, Danny Leung, Kevin Y. Yip

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Prediction of gene expression in embryonic structures of Drosophila melanogaster. by Anastasia A Samsonova, Mahesan Niranjan, Steven Russell, Alvis Brazma

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Linguistically-driven Selection of Difficult-to-Parse Dependency Structures by Chiara Alzetta, Felice Dell’Orletta, Simonetta Montemagni, Giulia Venturi

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Generative Adversarial Network for Damage Identification in Civil Structures by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…In recent years, many efforts have been made to develop efficient deep-learning-based structural health monitoring (SHM) methods. Most of the proposed methods employ supervised algorithms that require data from different damaged states of a structure in order to monitor its health conditions. …”
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Learning Graph Structures With Autoregressive Graph Signal Models by Kyle Donoghue, Ashkan Ashrafi

“…This method, along with real-world data from the National Climatic Data Center, is used to evaluate GL-AR’s performance in recovering undirected graph structures. …”
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