Crashworthiness performance of the designed concave hexagonal structures as filler element in cylindrical shells in multiple load cases by Andre Hartawan Mettanadi, Aditya Rio Prabowo, Bambang Kusharjanta, Fajar Budi Laksono, Haris Nubli

“…The greater the energy absorption by the crash safety structure, the greater the safety in preventing deformation of the main structure due to impact. …”
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Methods of testing systems for strengthening masonry structures based on cement composites reinforced with glass fiber mesh by Petrović Milica, Popović Marko, Škondrić Marina, Savić Aleksandar, Zakić Dimitrije

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Coupling and Coordinated Development of Environmental Regulation and the Upgrading of Industrial Structure: Evidence from China’s 10 Major Urban Agglomerations by Xiaozhou Zheng, Renming Liu, Huiping Wang

Subjects: “…upgrading of industrial structure…”
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Whole genome sequencing and structural variations provide insights into the body size traits of Hu sheep by Xin Xiang, Yujiao Guo, Liran Zhao, Wei Gao, Mao Li, Pengju Zhao, Zhengguang Wang

“…Subsequently, we identified 23274312 single nucleotide polymorphisms (SNPs) and 64759 structural variations (SVs) through a series of bioinformatics analyses. …”
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Correction: A global dataset of tree hydraulic and structural traits imputed from phylogenetic relationships by James Knighton, Pablo Sanchez-Martinez, Leander Anderegg

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Structural Feedback Analysis Based on Monitoring Data from Units with Different Spiral Case Embedding Methods at Three Gorges Hydropower Station by CHEN Qin, SU Hai-dong, DUAN Guo-xue, CUI Jian-hua, ZHOU Shi-hua

“…As the supporting system of hydroelectric generators, both the steel spiral cases and surrounding reinforced concrete structures have significant differences in construction processes and structural bearing characteristics due to different embedding methods. …”
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A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. by William T Harvey, Vinny Davies, Rodney S Daniels, Lynne Whittaker, Victoria Gregory, Alan J Hay, Dirk Husmeier, John W McCauley, Richard Reeve

“…We show that incorporating protein structural data into variable selection helps resolve ambiguities arising due to correlated signals, with the proportion of variables representing haemagglutinin positions decisively included, or excluded, increased from 59.8% to 72.4%. …”
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Development of an Intelligent System for Processing Semistructured Data: Industry Structuring and Advanced Analysis of Information Extracted from Comments to Video Clips in Social Networks by A. A. Poguda, H. Tape

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Inventory of Shallow-Water Fouling Invertebrates of Long Island, New York by Ezra Roesch, Jack H. Rosencrans, Kent A. Hatch, Robert W. Thacker

Subjects: “…community structure…”
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What determines export structure in the EU countries? The use of gravity model in international trade based on the panel data for the years 1995-2015 by Marek Maciejewski, Krzysztof Wach

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Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines by Kai Ding, Ruihong Li, Zeyu Li, Shangui Hu

“…This study proposes a novel approach by integrating Structural Topic Modeling (STM) analysis with Support Vector Machine (SVM) techniques to scrutinize the robustness of STM findings, particularly concerning the relative significance of extracted topics. …”
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Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

“…A number of studies have shown that, in hedonic models, the structural attributes of real property have a greater influence on price than external attributes related to location and the immediate neighbourhood. …”
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Distributed energy sharing algorithm for Micro Grid energy system based on cloud computing by Wenwei Su, Yan Shi

Subjects: “…Data Structures…”
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Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model by Nina Braad Iskov, Anders Stevnhoved Olsen, Kristoffer Hougaard Madsen, Morten Mørup

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Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects by Andrew Zalesky, Tabinda Sarwar, Ye Tian, Yuanzhe Liu, B. T. Thomas Yeo, Kotagiri Ramamohanarao

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A spatially constrained independent component analysis jointly informed by structural and functional network connectivity by Mahshid Fouladivanda, Armin Iraji, Lei Wu, Theodorus G. M. van Erp, Aysenil Belger, Faris Hawamdeh, Godfrey D. Pearlson, Vince D. Calhoun

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An open-access lumbosacral spine MRI dataset with enhanced spinal nerve root structure resolution by Jionghui Liu, Wenqi Zhang, Yuxing Zhou, Linhao Xu, Ying-Hua Chu, Fumin Jia

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Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform by Florent Le Borgne, Camille Garnier, Camille Morisseau, Yanis Navarrete, Yanina Echeverria, Juan Mir, Jaume Calafell, Tanguy Perennec, Olivier Kerdraon, Jean-Sébastien Frenel, Judith Raimbourg, Mario Campone, Maria Fe Paz, François Bocquet

“…Purpose To evaluate the effectiveness of C-LAB ® , an artificial intelligence (AI) platform, in extracting, structuring, and centralizing biomarker data from breast cancer pathology reports within the challenging, heterogeneous dataset of the Institut de Cancérologie de l’Ouest (ICO). …”
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Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands by Y. Shi, J. Wang, W. D. Kissling

“…<p>Recent years have seen a rapid surge in the use of light detection and ranging (lidar) technology for characterizing the structure of ecosystems. Even though repeated airborne laser scanning (ALS) surveys are becoming increasingly available across several European countries, so far, only a few studies have derived data products of ecosystem structure at a national scale, possibly due to a lack of free and open-source tools and the computational challenges involved in handling the large volumes of data. …”
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Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. by Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network

“…The Bayesian rate consistency model provides a model-based, non-parametric, computationally tractable approach for estimating the fine structure and longitudinal trends in social contacts and is applicable to contemporary survey data with coarsely reported age of contacts as long as the exact age of survey participants is reported.…”
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