How to Digitise Bridge Structures—A Systematic Review of the Status Quo for Creating Digital BIM Models of Existing Bridge Structures in the Operational Phase by Jan-Iwo Jäkel, Eva Heinlein, Peter Gölzhäuser, Maximilian Kellner, Katharina Klemt-Albert, Alexander Reiterer

“…This article provides an overview of the state of the scientific practice with regard to the procedures, technologies and data used to generate 3D models of existing bridge structures using the BIM method. …”
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Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures by Yu Qiao, Marius Grad, Aida Nonn

“…Additive manufacturing (AM), particularly laser powder bed fusion (L-PBF), provides unmatched design flexibility for creating intricate steel structures with minimal post-processing. However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. …”
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Analyzing the function of metaverse technology in the retention and absorption of knowledge using the integrated approach of interpretive structural modeling and structural equatio... by Seyed Mojtaba Hosseinibamakan, Hajar Soleymanizadeh, Mehran Ziaeian

“…This problem affects the validity of interpretive structural modeling approach. To solve this problem and in order to validate the presented model resulting from the interpretive structural modeling approach, the structural equation modeling approach and Smart PLS software were used. …”
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Local Structural Indices Changes During Different Periods of Postherpetic Neuralgia: A Graphical Study in Structural Covariance Networks by Xiong J, Gu L, Jiang X, Kuang H, Lv H, Li Z, Xie Y, Luo Q, Jiang J

“…Eglobal and Lp can be considered as potential imaging markers for future clinical restaging of PHN.Keywords: herpes zoster, postherpetic neuralgia, structural covariance network, graph theory, small world, cortical thickness…”
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Experimental electronic structures of copper complexes with a biphenyldiimino dithioether – a model for blue copper proteins by Marek Fronc, Martin Breza, Lukáš Bučinský, Ingrid Jelemenská, Jozef Kožíšek

Subjects: “…electronic structures…”
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Analysis of aeromagnetic data for interpretation of seismicity at Fayoum-Cairo area, Egypt by Ahmed Bakr Khalil, Mostafa Toni, Awad Hassoup, Khamis Mansour

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A dataset of inelastic response for multi-span RC adjacent bridges with individual and hybrid seismic risk mitigation techniquesMendeley Data by Jumana Hasina, Aman Mwafy

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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

“…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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Advancing smart tourism destinations: A case study using bidirectional encoder representations from transformers‐based occupancy predictions in torrevieja (Spain) by José Ginés Giménez Manuel, José Giner Pérez de Lucia, Marco Antonio Celdrán Bernabeu, José Norberto Mazón López, Juan Carlos Cano Escribá, José María Cecilia Canales

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WORKLOAD DYNAMICS OF MEDICAL PROFESSIONALS IN BULGARIAN HEALTHCARE SYSTEM: EVIDENCES FROM AGGREGATE DATA by Nikolay Atanasov, Krikor Indjian

“…Basic econometric methods, such as tests for structural breaks and dynamic rows modeling based on "macro-" or aggregate data, are implemented. …”
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qPRF: A system to accelerate population receptive field modeling by Sebastian Waz, Yalin Wang, Zhong-Lin Lu

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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

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D3GNN: Double dual dynamic graph neural network for multisource remote sensing data classification by Teng Yang, Song Xiao, Jiahui Qu

“…Nevertheless, GNN faces challenges as the manually defined static graph structure might not accurately capture the complexity of the data. …”
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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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Seasonal genetic variation and genetic structure of Spodoptera exigua in Liaoning Province, Northeast China: insights from 11 years of microsatellite data by Ming-Li Yu, Xian-Zhi Xiu, Jin-Yang Wang, Xin-Yi Cao, Fa-Liang Qin, Xing-Ya Wang, Li-Hong Zhou

“…To control this pest effectively, it is crucial to investigate its seasonal genetic variation and population genetic structure in northern China. Methods In this study, we used eight nuclear microsatellite loci to investigate the seasonal genetic variation and genetic structure of BAW in Shenyang, Liaoning Province, Northeast China, from 2012–2022, collected from a single location on Welsh onion. …”
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The glucose-lowering therapy structure in special groups of type 2 diabetes mellitus patients based on data from the Moscow region register by Inna V. Misnikova, Yulia A. Kovaleva, Mikhail А. Isakov, Alexander V. Dreval

“…BACKGROUND: Data of real clinical practice in diabetes mellitus (DM) register allow to evaluate features and trends in structure of glucose-lowering therapy (GLT). …”
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Data Assimilation Informed Model Structure Improvement (DAISI) for Robust Prediction Under Climate Change: Application to 201 Catchments in Southeastern Australia by Julien Lerat, Francis Chiew, David Robertson, Vazken Andréassian, Hongxing Zheng

Subjects: “…model structure…”
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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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