Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Abstract Structural health monitoring (SHM) apparatuses rely on continuous measurement and analysis to assess the safety condition of a target system. …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 1; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study by Charlotte A W Albers, Yvonne Wieland-Jorna, Martine C de Bruijne, Martin Smalbrugge, Karlijn J Joling, Marike E de Boer

“…The findings will be used to formulate recommendations aimed at enhancing standardized and structured data recording for the reuse of EHR data. …”
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Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

“…The approach integrates surface data from remote sensing and data from airborne magnetic geophysical surveys that provide information on the subsurface structures, to analyze structural lineament density analysis, orientation, and high permeable zones, and assess geothermal potential. …”
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Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

“…Structure functions (SFs), which quantify the moments of increments of a stochastic process, are essential complementary statistics to power spectra for analyzing the self-similar behavior of a time series. …”
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Grain Protein Function Prediction Based on CNN and Residual Attention Mechanism with AlphaFold2 Structure Data by Jing Liu, Xinping Zhang, Kai Huang, Yuqi Wei, Xiao Guan

“…The experimental results indicate that secondary structure and spatial structure information contribute to improving model performance. …”
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Crashworthiness simulation dataset of re-entrant crash box with combined in-plane and out-of-plane filling structureMendeley Data. by Arif Rochman Fachrudin, Moch. Agus Choiron, Anindito Purnowidodo, Yudy Surya Irawan

“…This article presents a dataset generated from finite element simulations of square aluminum crash box with various re-entrant infill structures. The configurations include in-plane, out-of-plane and combined in-plane and out-of-plane geometries. …”
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Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages by Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung

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The genetic structure and diversity of smallholder dairy cattle in Rwanda by Oluyinka Opoola, Felicien Shumbusho, Innocent Rwamuhizi, Isidore Houaga, David Harvey, David Hambrook, Kellie Watson, Mizeck G. G. Chagunda, Raphael Mrode, Appolinaire Djikeng

“…To assess the genetic structure and diversity of the current population, key analyses for population structure were applied: Principal Component Analysis (PCA), population structure and diversity, admixture analysis, measures of heterozygosity, runs of homozygosity (ROH) and minor allelic frequency (MAF). …”
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Relationship between population growth and socialeconomic development in the age structure perspective (on the example of Vietnam) by Thi Minh Hoa Nguyen, Ngoc Thanh Pham, Tuan Anh Ha

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Conservation of structural brain connectivity in people with multiple sclerosis by Gerard Martí-Juan, Jaume Sastre-Garriga, Angela Vidal-Jordana, Sara Llufriu, Eloy Martinez-Heras, Sergiu Groppa, Gabriel González-Escamilla, Maria A. Rocca, Massimo Filippi, Einar A. Høgestøl, Hanne F. Harbo, Michael A. Foster, Sara Collorone, Ahmed T. Toosy, Menno M. Schoonheim, Eva Strijbis, Giuseppe Pontillo, Maria Petracca, Gustavo Deco, Àlex Rovira, Deborah Pareto

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Sensitivity analysis of human brain structural network construction by Kuang Wei, Matthew Cieslak, Clint Greene, Scott T. Grafton, Jean M. Carlson

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Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study by Thomas Hoefler, Ayako Ikeda, Toshio Osada, Toru Hara, Kyoko Kawagishi, Takahito Ohmura

“…We present an automated high-throughput method capable of gathering 2400 data points relating processing conditions, microstructure geometry and yield strength in just 13 days. …”
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Estimating Subsurface Thermohaline Structure in the Tropical Western Pacific Using DO-ResNet Model by Xianmei Zhou, Shanliang Zhu, Wentao Jia, Hengkai Yao

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Analysis of retirees' knowledge return in the supply chain of Isfahan Refinery with a combined approach of interpretive structural modeling and structural equation modeling by Mehran Ziaeian, Somayeh Ahmadzadeh, Abdolrasoul Yazdi

“…In order to confirm or reject the conceptual model, the structural equation modeling approach and Smart PLS3 software were used. …”
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Structural dynamic response synthesis: A transformer-based time-series GAN approach by Sayed Ali Khodaei, Maryam Bitaraf

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Predicting the impact of public events and mobility in Smart Cities by Elena Bellodi, Riccardo Zese, Carlo Petrovich, Angelo Frascella, Francesco Bertasi

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Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach by Asim Abbas, Steve Fonin Mbouadeu, Fazel Keshtkar, Joan DeBello, Syed Ahmad Chan Bukhari

Subjects: “…structured data…”
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Modular Multifunctional Composite Structure for CubeSat Applications: Embedded Battery Prototype Thermal Analysis by Giorgio Capovilla, Enrico Cestino, Leonardo Reyneri, Federico Valpiani

“…Starting from the framework of project ARAMIS (an Italian acronym for a highly modular architecture for satellite infrastructures), a new concept of smart tiles has been developed, employing multifunctional structures and lightweight, composite materials. This enables increased CubeSat mass efficiency and payload volume. …”
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