Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

“…Recent advances in sensor technology, data acquisition, and signal processing have enabled the development of data-driven structural health monitoring (SHM) strategies, offering a powerful alternative or complement to traditional model-based approaches. …”
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The influence of urban and agricultural landscape contexts on forest diversity and structure across ecoregions by John Paul Schmit, Lea R. Johnson, Matthew Baker, Lindsay Darling, Robert Fahey, Dexter H. Locke, Anita T. Morzillo, Nancy F. Sonti, Tara L. E. Trammell, Myla F. J. Aronson, Michelle L. Johnson

“…In contrast, there was little difference in structure and diversity between forests in highly agricultural and impervious settings. …”
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Real-time data in cancer registries: Validation of an automated data extraction system by Sylvie A.M. Langhout, Sjoerd J.F. Hermans, Anna J.T. Smit, Elizabeth Berkx, Sophie A. Kurk, Keetje J. Schade, Eduardus F.M. Posthuma, Otto Visser, Jan J. Cornelissen, Peter C. Huijgens, Jurjen Versluis, Maarten van der Wilt, Avinash G. Dinmohamed

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Diagnostics of Structural Thinking of Bachelors of Pedagogical Education as a Universal Pedagogical Competence by Daria A. Barkhatova, Daria S. Grushentseva

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Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art by Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido, Alessandro VItale

Subjects: “…Structural health monitoring…”
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Biodiversity Information of benthic Species at ARtificial structures – BISAR by Jennifer Dannheim, Paul Kloss, Jan Vanaverbeke, Ninon Mavraki, Mirta Zupan, Vanessa Spielmann, Steven Degraer, Silvana N. R. Birchenough, Urszula Janas, Emma Sheehan, Katharina Teschke, Andrew B. Gill, Zoe Hutchison, Drew A. Carey, Michael Rasser, Jolien Buyse, Babeth van der Weide, Oliver Bittner, Paul Causon, Roland Krone, Marco Faasse, Alexa Wrede, Joop W. P. Coolen

“…BISAR is the first data product containing harmonised and quality-checked international data on benthos from artificial structures in the North Sea. …”
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Molecular structure data and modelling roadmap for optimized oxidized graphene quantum dot and epoxy interface and mechanical propertiesMendeley Data by Prathamesh Deshpande, Robert Chan-Jobe, Ozgur Keles

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Measuring Public Opinions on Renewable Energy and Climate Change Using Structural Equations Modeling by Ionut Nica, Simona-Vasilica Oprea, Adela Bara

“…Furthermore, the Structural Equation Model (SEM) is created to examine relationships between latent and observed variables, using maximum likelihood estimation. …”
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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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Small language models enable rapid and accurate extraction of structured data from unstructured text: An example with plants and their specialized metabolites by Lucas Busta, Alan R. Oyler

“…Small language models (SLMs), however, also have potential in this area as they have smaller compute footprints and allow users to keep data in-house. Here, we quantitatively evaluate the ability of SLMs to: (i) score references according to project-specific relevance and (ii) extract and structuring data from unstructured sources (scientific abstracts). …”
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Identifying long-term conditions in New Zealand general practice using structured and unstructured data: a cross-sectional study by Vanessa Selak, Katrina Poppe, Sue Wells, Yeunhyang Catherine Choi, Allan Ronald Moffitt, Claris Yee Seung Chung, Jane Ullmer

“…Objectives This study examined whether incorporating free-text entries into structured general practice records improves the detection of long-term conditions (LTCs) and multimorbidity (MM) in New Zealand (NZ) general practices.Methods Data from 374 071 deidentified individuals in general practices were analysed to identify 61 LTCs. …”
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Enhancing Frailty Assessments for Transcatheter Aortic Valve Replacement Patients Using Structured and Unstructured Data: Real-World Evidence Study by Mamoun T Mardini, Chen Bai, Anthony A Bavry, Ahmed Zaghloul, R David Anderson, Catherine E Crenshaw Price, Mohammad A Z Al-Ani

“…ObjectiveThis study aimed to enhance frailty assessments of TAVR candidates by integrating real-world structured and unstructured data. MethodsThis study analyzed data from 14,000 patients between January 2018 and December 2019 to assess frailty in TAVR patients at the University of Florida. …”
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Coherence: a new approach for analyzing interrelated serial data by Rebekka Mumm, Detlef Groth, Michael Hermanussen

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Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model by Wenbin Liu, Bo Yang, Zhili Chen

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A method for reconstructing the dynamic displacement of floating structures based on acceleration measurements and comparison with data-reconstruction techniques by Shujian Gao, Xi Chen, Zewen Pan, Zhe Tian, Fushun Liu

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Modal Identification and Finite Element Model Updating of Flexible Photovoltaic Support Structures Using Multi-Sensor Data by Mingfeng Huang, Chen Yang, Kang Cai, Xianzhe Li

“…In this study, field modal testing of a flexible PV support structure was conducted, and high-order modal properties were identified from multi-sensor data. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…Pathways are extracted directly from the data and putative novel structures can be identified. …”
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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…Increasingly, the capacity for high-throughput experimentation provided by new imaging modalities, contrast techniques, microscopy tools, microfluidics and computer controlled systems shifts the experimental bottleneck from the level of physical manipulation and raw data collection to automated recognition and data processing. …”
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