Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets by Xin Wang, Jing Yang, Yong Luo

“…The method jointly models temporal correlations and inter-channel structure, introducing a coupled processing strategy to reduce dimensionality and computational complexity. …”
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Quality of Family Doctor Contracted Services in Beijing from the Perspective of General Practitioners: A Semi-Structured Interview Study by Cui Yajia, Jin Guanghui

“…Methods: A total of 18 general practitioner GPs from 18 community health service institutions centers in 9 districts of Beijing were selected through purposive sampling from August 2023 to June 2024, and semi-structured interviews were conducted with general practitioner GPs based on the structure process outcome framework interview outline. …”
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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
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Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

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Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain by Ziwen Yu, Ethan Hou, Jean Pompeo, Ray Huffaker, Mo Wang, Yabing Zhao

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Factors Driving Construction Material Price Volatility in Qatar’s Construction Industry: An Investigation Using Generalized Structured Component Analysis (GSCA) by Murat Gunduz, Khalid K. Naji, Hadi Al-Marri

“…Second, it examined the influence of these factors and categories on material prices using Generalized Structured Component Analysis (GSCA). Third, it proposed strategies for mitigating price volatility within the Qatari construction sector. …”
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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
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Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction by Olumuyiwa Falowo, A.S. Daramola, W.K. Olabisi

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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crystals by Ilona A. Isupova, Denis A. Rychkov

“…<i>CrystalShift</i> is an open-source computational tool tailored for the analysis, transformation, and conversion of crystallographic data, with a particular emphasis on organic crystal structures. …”
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Improving Racing Drones Flight Analysis: A Data-Driven Approach Using Motion Capture Systems by Jose M. Castiblanco Quintero, Sergio Garcia-Nieto, Raul Simarro, Dmitry I. Ignatyev

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A Unified Surrogate Framework for Data-Driven Reliability Analysis of Mechanical Systems from Low to Multi-DOF by Lun Shao, Alexandre Saidi, Abdel-Malek Zine, Mohamed Ichchou

“…This paper proposes a unified reliability analysis framework for mechanical and structural systems equipped with Tuned Mass Dampers (TMDs), encompassing single-degree-of-freedom (1-DOF), two-degrees-of-freedom (2-DOF), and ten-degrees-of-freedom (10-DOF) configurations. …”
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Changes in Consumer Food Preferences in EU Countries from 2001-2013 by Grzegorz Koszela, Luiza Ochnio

Subjects: “…dissimilarity of structures…”
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Crashworthiness performance of the designed concave hexagonal structures as filler element in cylindrical shells in multiple load cases by Andre Hartawan Mettanadi, Aditya Rio Prabowo, Bambang Kusharjanta, Fajar Budi Laksono, Haris Nubli

“…The greater the energy absorption by the crash safety structure, the greater the safety in preventing deformation of the main structure due to impact. …”
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Methods of testing systems for strengthening masonry structures based on cement composites reinforced with glass fiber mesh by Petrović Milica, Popović Marko, Škondrić Marina, Savić Aleksandar, Zakić Dimitrije

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Analysis of Inclusive School Implementation Based on Structural Functional Theory in Senior High Schools in Surakarta by Mohamad Rizki Azhar, Siany Indria Liestyasari

“…This study analyzes the implementation of inclusive schools through Structural Functional Theory in senior high schools in Surakarta City. …”
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Structural variants linked to Alzheimer’s disease and other common age-related clinical and neuropathologic traits by Ricardo A. Vialle, Katia de Paiva Lopes, Yan Li, Bernard Ng, Julie A. Schneider, Aron S. Buchman, Yanling Wang, Jose M. Farfel, Lisa L. Barnes, Aliza P. Wingo, Thomas S. Wingo, Nicholas T. Seyfried, Philip L. De Jager, Chris Gaiteri, Shinya Tasaki, David A. Bennett

“…Large genomic rearrangements, known as structural variants (SVs), represent a promising avenue for elucidating such mechanisms within some of these loci. …”
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Metaweb approach to unravel food web structures: Exploring environmental changes and biotic interactions in Korean stream ecosystems by Da-Yeong Lee, Sagar Adhurya, Dae-Seong Lee, Young-Seuk Park

“…Local food webs were constructed using the KF-metaweb and biomonitoring data from Korean streams, and food web structure metrics were subsequently calculated. …”
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A novel small-scale wind-turbine blade failure detection according to monitored-data by A. Aranizadeh, H. Shad, B. Vahidi, A. Khorsandi

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An approach for coherent periodogram averaging of tilt‐series data for improved contrast transfer function estimation by Sagar Khavnekar, William Wan

“…Cryo‐electron microscopy (cryo‐EM) has become an indispensable technique for determining three‐dimensional structures of biological macromolecules. A critical aspect of achieving high‐resolution cryo‐EM reconstructions is accurately determining and correcting for the microscope's contrast transfer function (CTF). …”
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Research on computationally generative design of woven braced structure based on fiber composite material in architectural design industry by Peiqi Xu, Yiming Liu, Yafan Zhang, Nianxiong Liu

“…Based on this occurrence, this paper studies the development of a computational generative design system for woven braced structure composed of fiber-reinforced materials. Through experimental data of material performance, the research firstly argues feasibility of employing fiber composite materials to braced structure. …”
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