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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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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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

“…To this end, we introduce an interactive web tool and underlying database for Yale Brain Atlas, a high-resolution anatomical parcellation designed to facilitate precise localization and generalizable analyses of multimodal neuroimaging data. The tool supports parcel-level exploration of structural and functional data through dedicated interactive pages for each modality. …”
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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

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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

“…Given the persistence of those large regional inequalities, it is pertinent to analyse the efficiency of structural funds. In light of the neoclassical theory, these funds should contribute to improving the economic efficiency among the poorest regions, promoting regional convergence. …”
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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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Recent advances in structural health diagnosis: a machine learning perspective by Yuequan Bao, Huabin Sun, Yang Xu, Xiaoshu Guan, Qiuyue Pan, Dawei Liu

Subjects: “…Structural health diagnosis…”
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Flexible and high‐throughput structures of Camellia block cipher for security of the Internet of Things by Bahram Rashidi

“…In the proposed structures, sub‐blocks of the ciphers are implemented based on optimised circuits. …”
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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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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

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Mathematical methods of data processing in the formation and evaluation of sectoral structure in agricultural enterprises by T. Kalashnikova, І. Кoshkalda, O. Тrehub

“…This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. …”
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Minimal‐cost route planning via Fibonacci‐heap‐typed data structure by Wangjia Zhan, Haohao Qiu, Bo Min, Lin Lin

“…To achieve this, the reachability determination algorithm is designed to assess the courier company's reachability to all junctions based on the queue‐typed data structure and breadth‐first search idea. Subsequently, the minimal‐cost route planning algorithm is developed to find a feasible transport route with the minimal cost of clearing obstacles by resorting to the Edmonds' algorithm and some feasible data structures. …”
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Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Abstract Network anomaly detection using graph-structured data is a critical task in data mining and cybersecurity, involving the identification of unusual patterns within a network by analyzing its structure as a graph. …”
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