Preliminary data on terrestrial isopods from some railways in Dobruja, eastern Romania by Daniel-Răzvan POP, Alexandra-Roxana-Maria MAIER, Achim-Mircea CADAR, Sára FERENȚI

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Ancestor regression in structural vector autoregressive models by Schultheiss Christoph, Ulmer Markus, Bühlmann Peter

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Social environment and brain structure in adolescent mental health: A cross-sectional structural equation modelling study using IMAGEN data. by Jessica Stepanous, Luke Munford, Pamela Qualter, Tobias Banaschewski, Frauke Nees, Rebecca Elliott, IMAGEN Consortium

“…The current study addressed that gap by applying structural equation modelling to IMAGEN data from adolescents aged 14 years (n = 1950). …”
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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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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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23 Generative artificial intelligence for automated unstructured MRI data extraction in prostate cancer care by William Pace, Andrew Liu, Marvin Carlisle, Robert Krumm, Janet Cowan, Peter Carroll, Matthew Cooperberg, Anobel Odisho

“…Objectives/Goals: Magnetic resonance imaging (MRI) reports are stored as unstructured text in the electronic health record (EHR), rendering the data inaccessible. …”
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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…Semantic maps, which embed semantic information into spatial representations, enable robots to better interpret complex environments and improve their autonomous operation in unstructured, GPS-denied, and extreme settings. In this context, an advanced semantic SLAM algorithm, termed NN-SLAM, is proposed based on the fusion of visual and laser data. …”
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Research on Data Transfer Method for Multi-physics Coupling Based on Unstructured Mesh Monte Carlo by LI Rui1, LIU Shichang1, , WANG Lipeng2, WANG Zhenyu1, CHEN Yixue1

“…Among these, the neutronic-thermal-mechanical coupling and neutronic-thermal-fluid coupling analyses have a significant impact on the reactor design. In addressing the data transfer issues in the multiphysics coupling process of reactors, this study employs a hybrid approach that integrates unstructured mesh (UM) Monte Carlo with finite element methods. …”

The Influence of Ownership Structure on the Financial Performance of Banks by Sigit Pamungkas, Muchtar Hidayat, Muhammad Syarif, Farah Margaretha Leon, Henny S. Lestari

Subjects: “…Ownership Structure, Financial Performance, Banking, Panel Data Regression, Indonesia Stock Exchange…”
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Topographic and subterranean structural mapping utilizing aerial magnetic and remote sensing data by Suraj Kalgonda Patil, Amanulla Liyakatalli Mulla, Amitkumar Sukumar Sajane

“…The current investigation focuses on conducting surface and subsurface structural mapping of Warana River basin’s Rafin Rewa’s warm spring area and its surroundings utilizing airborne magnetic and topographic datasets. …”
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Structural Analysis of Huaguangtan Arch Dam Based on Data Assimilation Parametric Inversion by LIN Xianzhi, LUO Zenghong, XU Zheng, MIN Jiesheng, CAO Chuanbo, ZHAO Quan

“…Aiming at the difficulty of the accurate safety assessment of the overall structural state of Huaguangtan Arch Dam,a finite element model of the arch dam is established,and the data assimilation algorithm is used to invert the material parameters based on the results of the sensitivity analysis of the mechanical parameters of the arch dam concrete and bedrock.Finally,the material parameters of finite element calculation are calibrated by parameter inversion results.The results show that the residual between the finite element displacement simulation result and the monitoring data conforms to the Gaussian distribution,and its standard deviation after data assimilation parametric inversion is reduced by 81.2%,which improves the accuracy of finite element calculation.This method enables automated operation and provides a reasonable and reliable new idea for the structural safety assessment of arch dams.…”
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Review of the technology used for structural characterization of the GMO genome using NGS data by Kahee Moon, Prakash Basnet, Taeyoung Um, Ik-Young Choi

“…According to CODEX standards, this characterization involves evaluating the presence of introduced genes, insertion sites, copy number, and nucleotide sequence structure. Advances in technology have led to the increased use of next-generation sequencing (NGS) over traditional methods such as Southern blotting. …”
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Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data by Evan Collins, Evan Collins, Evan Collins, Omar Chishti, Omar Chishti, Hari McGrath, Hari McGrath, Sami Obaid, Sami Obaid, Sami Obaid, Alex King, Alex King, Edwin Qiu, Ellie Gabriel, Xilin Shen, Jagriti Arora, Xenophon Papademetris, Xenophon Papademetris, Xenophon Papademetris, Xenophon Papademetris, R. Todd Constable, R. Todd Constable, R. Todd Constable, R. Todd Constable, Dennis D. Spencer, Hitten P. Zaveri

“…For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. …”
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Data collection and transmission strategies for structural safety monitoring of large-scale infrastructure by Feng Zhou

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Monte Carlo Evaluation of the Methods Estimating Structural Change Point in Panel Data by Selim Dağlıoğlu, Mehmet Akif Bakır

Subjects: “…panel data…”
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Integrating numerical simulation and experimental data for enhanced structural health monitoring of bridges by Om Narayan Singh, Kaushik Dey

“… The research described in this paper aims to enhance the structural health monitoring (SHM) of highway bridges by integrating numerical simulations with experimental data. …”
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Structural Safety Evaluation of Tunnel Based on the Dynamic Monitoring Data during Construction by Xiaokun Yan, Hu Li, Feng Liu, Yang Liu

“…It is still a challenge to accurately evaluate the structural safety of tunnel during the process of construction. …”
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The Impact of Structural Funds on Regional Growth: A Panel Data Spatial Analysis by Micaela Antunes, Miguel Viegas, Celeste Varum, Carlos Pinho

“…However, the new economic geography states that structural funds may also facilitate the geographic concentration of economic activities, thus perpetuating regional imbalances. …”
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THE CENOZOIC CRUSTAL STRESS STATE OF MONGOLIA ACCORDING TO GEOLOGICAL AND STRUCTURAL DATA (REVIEW) by V. A. Sankov, A. V. Parfeevets

“…The studies commenced in the southern Baikal rift zone in the 1970s and were extended further southwards to cover mobile regions neighbouring the Siberian platform. Geological, structural and morphostructural data were collected and analysed to define the crustal stress types and spatial characteristics. …”
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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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