Effects of Economic Policy Uncertainty on Manufacturing Structural Upgrading: Evidence from China by Renjing Hu, Yanyang Yan

“…Based on firm-level and province-level panel data from 1997 to 2018, this paper used a fixed effect panel data model and panel quantile regression model to investigate the effect of economic policy uncertainty on structural upgrading in manufacturing. …”
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Soft-Sediment Deformation Structures Interpreted as Seismites in the Kolankaya Formation, Denizli Basin (SW Turkey) by Savaş Topal, Mehmet Özkul

“…The deformation mechanism and driving force for the soft-sediment deformation are related essentially to gravitational instability, dewatering, liquefaction-liquidization, and brittle deformation. Field data and the wide lateral extent of the structures as well as regional geological data show that most of the deformation is related to seismicity and the structures are interpreted as seismites. …”
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Path analysis of the effect of irrational beliefs on the structures of the planned behavior model in the field of physical activity by Bita Arabnarmi, Hesam Ramezanzade

“…A path analysis model was used to analyse the relationships between variables and calculate the direct and indirect structural effects. Also, multiple regression analysis was used to predict theoretical constructs of planned behavior using irrational beliefs dimensions. …”
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Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…As it is not usually possible to collect data from damaged states of a large civil structure, using such algorithms for these structures may be impractical. …”
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AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

“…Coastal defense structures play a crucial role in mitigating wave impacts; yet, existing breakwater designs often face challenges in balancing wave reflection, energy dissipation, and structural stability. …”
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The impact of environmental conditions of Persian Gulf on the probability of chloride corrosion initiation in reinforced concrete structures by Hossein Rahami, shahram abedini, S. M. Mirhosseini Hezaveh, Mohammad GhanooniBagha, Ehsanollah Zeighami

“…According to the technical literature, the amount of chloride that is transported by air from the sea surface depends on the amount of salt in the seawater in that area, the speed and direction of the wind, and the distance from the sea. Accordingly, data on the highest annual wind speed and direction of the wind are collected in several reinforced concrete structures (RC structures) in southern cities near the Persian Gulf at different distances from the sea. …”
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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning by Diego Tibaduiza, Miguel Ángel Torres-Arredondo, Jaime Vitola, Maribel Anaya, Francesc Pozo

“…Inspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables continuous monitoring and online damage identification. …”
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Development of a hybrid model of the tensile behaviour of weft-knitted structures for medical compression stockings by Inés Pita Miguélez, Ahmad Rashed Labanieh, Coline Mesmin, David Dupuy, Damien Soulat

“…A unit cell was used to model the weft-knitted fabric at a mesoscopic level. 3D-shell elements and connectors were combined in the unit cell to model the mechanical behaviour of the loop structure and the inlay yarn, respectively. Mechanical and structural parameters were identified from experimental data. …”
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Measurement Technique and Result Analysis of Helicopter Rotor Blade Structural Vibration Load by Honglin Zhang, Zefeng Wang, Pinqi Xia

“…The measurement of helicopter rotor blade structural load amid flight has always been the difficulty in flight test. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…Crack classification in structural surfaces is critical for ensuring the safety and longevity of civil infrastructure. …”
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Structural and Dynamic Analysis of the Human Capital Health Component of the Socio-Economic System by K. Ketova, D. D. Vavilova

“…A numerical analysis of the structure and dynamics of the state of health of the population is carried out on the example of the Udmurt Republic, using primary modern data reflected in the system of state statistical accounting for the period 2000-2018.Results. …”
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Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study by Rafael Aredes Couto, Igor Augusto Guimarães Campos, Elvys Dias Reis, Daniel Hasan Dalip, Flávia Spitale Jacques Poggiali, Péter Ludvig

“…The methodologies developed here can be extended beyond carbonation modeling to other deterioration processes, supporting data-driven strategies for maintenance planning and resilience design in RC structures.…”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…The academic community has paid much attention to the research topic of structural health monitoring (SHM) and damage identification for several decades, which flourishes the development of diverse damage identification approaches. …”
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THE MULTILEVEL EDUCATIONAL COMPLEX AS A FACTOR IN THE STABILIZATION OF THE LABOR MARKET AND STRUCTURAL BALANCE by Aleksandr S. Senin, Elena A. Bubenok

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Advances in macromolecular crystallography at the Photon Factory: automation from crystallization to structural determination by Naohiro Matsugaki, Toshiya Senda

“…The crystallization plate prepared by PXS2 can be mounted directly onto an in situ data-acquisition system at BL-17A. These technologies have transformed experimental workflows, enabling high-throughput structure determination and supporting drug discovery. …”
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Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage by Xuyang Li, Hamed Bolandi, Mahdi Masmoudi, Talal Salem, Ankush Jha, Nizar Lajnef, Vishnu Naresh Boddeti

“…We present a novel “deploy-and-forget” approach for automated detection and localization of damage in structures. It is a synergistic integration of entirely passive measurements from inexpensive sensors, data compression, and a mechanics-informed autoencoder. …”
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Investigating Contributing Factors on Aggressive Driving Based on a Structural Equation Model by Wenxiang Xu, Junhua Wang, Ting Fu, Anae Sobhani, Matin Nabavi Niaki

“…Considering this situation, this paper constructed a model based on a structural equation model (SEM) and factor analysis (FA), which is a multivariate statistical analysis technique used to analyze structural relationships. …”
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Seismic vulnerability of non-structural members in reinforced concrete buildings located in Tehran by Aliasghar Amir Kardoust, Seyyed Azim Hosseini, Hamidreza Rabeifard, Seyyed Mohammad Seyyed Hosseini, Abbas Akbarpour NickghalbRashti

“…Some researchers have studied the seismic reliability of bridge structures using field data. However, in Iran, real field data is not used to analyze the reliability of RC buildings. …”
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Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation by Yue Wan, Jialu Wu, Tingjun Hou, Chang-Yu Hsieh, Xiaowei Jia

“…They also struggle to learn the subtle variations in structure-activity relationship. This paper introduces a multi-channel pre-training framework that learns robust and generalizable chemical knowledge. …”
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Improved enzyme functional annotation prediction using contrastive learning with structural inference by Yuxin Yang, Abby Jerger, Song Feng, Zixu Wang, Christina Brasfield, Margaret S. Cheung, Jeremy Zucker, Qiang Guan

“…However, the majority of these methods have primarily focused on either amino acid sequence data or protein structure data, neglecting the potential synergy of combining both modalities. …”
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