Graph Neural Network Learning on the Pediatric Structural Connectome by Anand Srinivasan, Rajikha Raja, John O. Glass, Melissa M. Hudson, Noah D. Sabin, Kevin R. Krull, Wilburn E. Reddick

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Ground Segmentation for LiDAR Point Clouds in Structured and Unstructured Environments Using a Hybrid Neural–Geometric Approach by Antonio Santo, Enrique Heredia, Carlos Viegas, David Valiente, Arturo Gil

“…The method hierarchically partitions point clouds into adaptive sectors, leveraging PCA-derived geometric features and dynamic variance thresholds for robust terrain modeling, while a SCNN resolves ambiguities in data-sparse regions. Evaluated in structured (SemanticKITTI) and unstructured (Rellis-3D) environments, two different versions of the proposed method are studied, including a purely geometric method and a hybrid approach that exploits deep learning techniques. …”
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Structure-Based Alignment and Consensus Secondary Structures for Three HIV-Related RNA Genomes. by Christopher A Lavender, Robert J Gorelick, Kevin M Weeks

“…Consensus secondary structures were constructed for strongly correlated regions by taking into account both SHAPE probing structural data and nucleotide covariation information from structure-based alignments. …”
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Practical approach to structural assessment of reinforcement in existing concrete structures affected by corrosion or fire by Van den Buverie Nele, Van Mol Noah, Vasseur Lander, Soetens Tim, Van Belleghem Bjorn

“…Many buildings and structures of (reinforced) concrete reach ages of 50-100 years, and over the lifespan, they can change their function. …”
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Investigation of Soil-Structure Interaction for Design of Reinforced Concrete Structures under Earthquake Load by Saffet Kılıçer, Korhan Özgan

“…For this reason, structures should be modeled accurately and realistically. …”
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Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise by Sanjay Ghosh, Sanjay Ghosh, Chang Cai, Ali Hashemi, Yijing Gao, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan

“…To the best of our knowledge, no existing algorithm has addressed the brain source estimation problem with such structured noise. We propose to apply a robust empirical Bayesian framework for iteratively estimating the brain source activity and the statistics of the structured noise. …”
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Structure and nodal points of Smart City infrastructure by Magdalena Grochulska-Salak, Tomasz Wężyk

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Model reduction of structural mechanical response in the time domain by Xin Yan, Xinyu Guo, Ningya He, Jinglong Shi, Daquan Zhao

“…Abstract A novel model reduction approach for analyzing structural mechanical response states in automotive systems is introduced, leveraging time-domain signal data from road testing. …”
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Model for developing educational games based on data from dictionary structure by Josip Mihaljević, Lana Hudeček

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Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

“…This output provides a topologically structured representation of the image data, allowing spectrally similar pixels to be grouped together and the similarity of different clusters to be assessed. …”
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Data Interpretation in Structural Health Monitoring: Toward a Universal Language by Magda Ruiz, Óscar Gualdrón, José A. Peral Mondaza, Luis Eduardo Mujica Delgado

Subjects: “…Structural Health Monitoring (SHM)…”
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Disassembling-Based Structural Damage Detection Using Static Measurement Data by Eun-Taik Lee, Hee-Chang Eun

“…Damage detection methods can be classified into global and local approaches depending on the division of measurement locations in a structure. The former utilizes measurement data at all degrees of freedom (DOFs) for structural damage detection, while the latter utilizes data of members and substructures at a few DOFs. …”
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Intra-BRICS Trade: A Panel Data Analysis with Structural Breaks by Alper Yılmaz

“…For this purpose, we employed the Westerlund and Edgerton cointegration approach to check for cointegration under structural breaks and the procedure for the asymmetric Granger non-causality test to assess the causal relationship between the custom tariff and export variables of BRICS countries with regard to the panel data methodology for the 2000-2020 period using annual data. …”
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Board structure and bank performance: Evidence from Ethiopia by Alem Gebremedhin Berhe

Subjects: “…board structure…”
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Implementation of flexible DEA structure in the management of business processes by Šegrt Slobodan, Tomić Radoljub, Anđelković Maja

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Digiral marketplaces and their effect to corporates’ business models and structures by Sergey N. Lavrov, Sergey V. Neklyudov

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Structural separation of data property rights based on data factor circulation value chain by Lihua HUANG, Wanli DU, Biyu WU

Subjects: “…data factor;data property rights;market logic;data factor circulation value chain;structural separation…”
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Towards an understanding of the Structural Gap by Octavia Haure

“…This article presents some data from French and English film reviews, and in its capacity as a pilot study, is attempting to move towards an understanding of the structural gap between language macrostructures.…”
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Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

Subjects: “…big data…”
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Comprehensive testing of large language models for extraction of structured data in pathology by Bastian Grothey, Jan Odenkirchen, Adnan Brkic, Birgid Schömig-Markiefka, Alexander Quaas, Reinhard Büttner, Yuri Tolkach

“…Abstract Background Pathology departments generate large volumes of unstructured data as free-text diagnostic reports. Converting these reports into structured formats for analytics or artificial intelligence projects requires substantial manual effort by specialized personnel. …”
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