Application of geodetic and mine surveying technologies in monitoring deformations of man-made structures by Yu.O. Zabolotna, Ye.A. Koroviaka, O.A. Pashchenko, V.O. Rastsvietaiev

“…The development of industry, transport, mining and urban infrastructure leads to an increased risk of deformation processes in the ground and on engineering structures of anthropogenic origin. This necessitates the development and implementation of reliable monitoring systems for early detection of dangerous shifts, subsidence, or structural instabilities. …”
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COMPUTER SIMULATION OF ANTIFERROMAGNETIC STRUCTURES DESCRIBED BY THE THREE-VERTEX ANTIFERROMAGNETIC POTTS MODEL by Yarash K. Abuev, Albert B. Babaev, Pharkhat E. Esetov

“…Objectives A computer simulation of the antiferromagnetic structures described by the three-vertex Potts model on a triangular lattice is performed, taking into account the antiferromagnetic exchange interactions between the nearest J1 and second J2 neighbours. …”
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Fabrication and Analysis of Ion-Engineered ZnO Device Structures for Optoelectronic Applications by Fareeha Younus, Ahmed Shuja, Muhammad Ali

“…This work explores the impact of light-matter interaction on ion-induced ZnO structures and their respective energy band profiles. …”
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The role of dendritic cells in tertiary lymphoid structures: implications in cancer and autoimmune diseases by Mariana Reste, Kristi Ajazi, Ayca Sayi-Yazgan, Ayca Sayi-Yazgan, Radmila Jankovic, Biljana Bufan, Sven Brandau, Espen S. Bækkevold, Florent Petitprez, Malin Lindstedt, Gosse J. Adema, Catarina R. Almeida

“…Tertiary Lymphoid Structures (TLS) are organized aggregates of immune cells such as T cells, B cells, and Dendritic Cells (DCs), as well as fibroblasts, formed postnatally in response to signals from cytokines and chemokines. …”
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Tertiary lymphoid structures-driven immune infiltration patterns and their association with survival in neuroblastoma by Xuelian Liu, Jian Deng, Bingqing Yu, Jiaxiong Tan, Xiaoliang Lu, Minmin Zhang

“…The current clinical risk stratification system does not fully explain the high heterogeneity of tumor patients. Tertiary lymphoid structures (TLS), key in tumor immunity, may serve as new biomarkers, but their impact on NB prognosis is unclear. …”
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Features of physical therapy of patients after endoprosthetic with the strengthening of capsule-ligamentous structures by S. O. Maslennikov, M. L. Holovakha, E. Yu. Doroshenko, S. M. Malakhova, L. I. Levchenko, S. H. Puzik, A. M. Hurieieva, M. O. Oliinyk

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Numerical Study of Vortex-Excited Vibration of Flexible Cylindrical Structures with Surface Bulge by Jiahe Zou, Bo Zhou, Hui Liu, Wenxin Yi, Conghong Lu, Wenqing Luo

“…A strongly coupled approach was employed for iterative updates between the flow field and structural field data, achieving a bidirectional flow–structure coupling simulation of VIV in a marine environment. …”
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Design and Analysis of Floater Structures using Composite Material in 19 Seaters Aircraft by Andi Muhdiar Kadir, Arief Setyawan, Fithri Nur Purnamasari, Nurhadi Pramana, Muhammad, Ilham Akbar Adi Satriya, Riza Wirawan, Budi Sampurno

“…The specimens with five fiber orientation variations (UD: 0o, 90o, and 45o and Fabric: ±45o and 0o/90o) were tested, and the results were utilized as data input for finite element analysis. Floater structure modeling was conducted to predict its strength and weight. …”
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Using micro-seepage structures to mitigate salt crystallization in brine transport systems by GAO Zhenjun, LIU Hai, DAI Sheng, REN Jian, LI Hao, ZHOU Xiumei, OYBEK Ishnazarov, ZHANG Lisheng, ZHANG Jianbo

“…Measured data were used to analyze the micro-seepage characteristics of the structures and assess the impact of different micro-seepage rates on crystallization on the pipe wall under both static and dynamic conditions. …”
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Untrained perceptual loss for image denoising of line-like structures in MR images. by Elisabeth Pfaehler, Daniel Pflugfelder, Hanno Scharr

“…In this work, we concentrate on image denoising of MR images containing line-like structures such as roots or vessels. In particular, we investigate if the special characteristics of these datasets (connectivity, sparsity) benefit from the use of special loss functions for network training. …”
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Divergent dynamics of surface water patterns and structures in Europe's coastal-zone basins by Liumeng Chen, Yongchao Liu, Jialin Li, Chao Ying, Peng Tian, Wenfei Kuang, Qiyu Huang, Tian Zheng

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GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 by Beena Meena, Elena Sabbi, Peter Zeidler, Bruce G. Elmegreen, Jan J. Eldridge, Varun Bajaj, Mario Gennaro, Anna Pasquali, Debra M. Elmegreen, Ralf S. Klessen, Linda J. Smith, Luciana Bianchi, Aida Wofford, Pietro Facchini, John S. Gallagher III, Daniela Calzetti, Eva K. Grebel, Angela Adamo, (GULP)

“…We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf starburst galaxy NGC 4449 using data from the GULP survey. …”
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Innovation-Based Research Using Structural Flexibility and Acceptance Model (SFAM) by   Solimun, Adji Achmad Rinaldo Fernandes

“…The research objectives are as follows: (1) Develop a solid structural model assuming normality and homoscedasticity. (2) Obtain the property estimator of the flexible and robust SFAM structural model. (3) Obtaining hypothesis testing of each relationship built from the flexible and strong SFAM structural model. …”
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Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…Due to gravitational sorting during downslope transport and complex topographic constraints in narrow valleys, these dams generally exhibit inherently three-dimensional (3D), spatially heterogeneous internal structures. However, most existing breach simulation models assume material homogeneity for computational convenience, neglecting the influence of real-world structural non-uniformity. …”
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A structural biology compatible file format for atomic force microscopy by Yining Jiang, Zhaokun Wang, Simon Scheuring

“…Abstract Cryogenic electron microscopy (cryo-EM), X-ray crystallography, and nuclear magnetic resonance (NMR) contribute structural data that are interchangeable, cross-verifiable, and visualizable on common platforms, making them powerful tools for our understanding of protein structures. …”
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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

“…In recent years, deep learning techniques have emerged as powerful tools for analyzing the complex data generated by SHM systems. This study investigates the use of deep belief networks (DBNs) for classifying structural conditions before and after retrofitting, using both ambient and train-induced acceleration data. …”
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Structural Health Monitoring of Laminated Composites Using Lightweight Transfer Learning by Muhammad Muzammil Azad, Izaz Raouf, Muhammad Sohail, Heung Soo Kim

“…Therefore, deep learning-based methods that use sensor data to conduct autonomous health monitoring have drawn much interest in structural health monitoring (SHM). …”
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Remote sensing‐based mapping of structural building damage in the Ahr valley by Guilherme Samprogna Mohor, Tobias Sieg, Oliver Koch, Aaron Buhrmann, Holger Maiwald, Jochen Schwarz, Annegret H. Thieken

“…Abstract Flood damage data are needed for various applications. Structural damage of buildings can reflect not only the economic damage but also the life‐threatening condition of a building, which provide crucial information for disaster response and recovery. …”
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An Experimental Technique for Structural Diagnostic Based on Laser Vibrometry and Neural Networks by Paolo Castellini, Gian Marco Revel

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Structural assessment and seismic response of the historic Justinian stone arch bridge by Zeki Özcan

“…The research examines the structural configuration of the bridge and integrates its architectural background with data derived from comprehensive analyses. …”
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