Digital Educational History Database Structure for Solving Learning Analytics Tasks by Tatyana Zykova, Alexey Kytmanov, Tatyana Kustitskaya, Roman Esin

“…Based on an analysis of existing information systems and databases of Siberian Federal University, we propose an approach to designing the structure of the university education database, including various levels of detail of student data. …”
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DEEP STRUCTURE OF THE ALTAI MOUNTAINS AND MODERN GRAVITY FIELD MODELS by V. Yu. Timofeev, D. G. Ardyukov, D. N. Goldobin, A. V. Timofeev, D. A. Nosov, I. S. Sizikov, E. N. Kalish, Yu. F. Stus

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Unveiling the mineral resources and structural patterns in the Middle Benue Trough: a comprehensive exploration using airborne magnetic and radiometric data by Stephen E. Ekwok, Anthony M. George, Asuquo A. Omori, Kamal Abdelrahman, Samuel I. Ugar, Peter Andráš, Morod I. Morphy, Anthony E. Akpan, Ahmed M. Eldosouky

Subjects: “…Magnetic data…”
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Learning Gaussian Bayesian Network from Censored Data Subject to Limit of Detection by the Structural EM Algorithm by Ping-Feng Xu, Shanyi Lin, Qian-Zhen Zheng, Man-Lai Tang

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Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model by Wenbin Liu, Bo Yang, Zhili Chen

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A method for reconstructing the dynamic displacement of floating structures based on acceleration measurements and comparison with data-reconstruction techniques by Shujian Gao, Xi Chen, Zewen Pan, Zhe Tian, Fushun Liu

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Modal Identification and Finite Element Model Updating of Flexible Photovoltaic Support Structures Using Multi-Sensor Data by Mingfeng Huang, Chen Yang, Kang Cai, Xianzhe Li

“…In this study, field modal testing of a flexible PV support structure was conducted, and high-order modal properties were identified from multi-sensor data. …”
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mzGroupAnalyzer--predicting pathways and novel chemical structures from untargeted high-throughput metabolomics data. by Hannes Doerfler, Xiaoliang Sun, Lei Wang, Doris Engelmeier, David Lyon, Wolfram Weckwerth

“…Pathways are extracted directly from the data and putative novel structures can be identified. …”
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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…Increasingly, the capacity for high-throughput experimentation provided by new imaging modalities, contrast techniques, microscopy tools, microfluidics and computer controlled systems shifts the experimental bottleneck from the level of physical manipulation and raw data collection to automated recognition and data processing. …”
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An Improved Gaussian Mixture Model-Based Data Normalization Method for Removing Environmental Effects on Damage Detection of Structures by Xue-Yang Pei, Hai-Bin Huang, Peng Cao

Subjects: “…structural health monitoring…”
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Data structures for compound promiscuity analysis: promiscuity cliffs, pathways and promiscuity hubs formed by inhibitors of the human kinome by Filip Miljković, Jürgen Bajorath

“…Limitations & next steps: PC and PCP data structures capture structure–promiscuity relationships. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

Subjects: “…Data Reconstruction…”
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Applying a K-means model to TSD data to find categories for the structural assessment of flexible pavements by Mahdi Rahimi Nahoujy

“…Since 2018, the German Federal Highway Research Institute (BASt) has been using a traffic speed deflectometer (TSD) for measurements on network level to assess the structural condition of asphalt pavements. TSD collects a variety of data, such as deflections, temperature and slope values at each measuring point. …”
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Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease by Farideh Momeni, Daryoush Shahbazi-Gahrouei, Tahereh Mahmoudi, Alireza Mehdizadeh

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A dynamic early-warning method for bridge structural safety based on data reconstruction and depth prediction by Yanqing Men, Hu Li, Fengzhou Liu, Yongliang Huang, Mingxin Gao, Xiaohui Wang, Hao Xie, Jianxin Cao

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Detection and functional assessment of structural variants using whole-genome re-sequencing data in Nellore cattle by Natalia A. Marín-Garzón, Lucio F. M. Mota, Giovana Vargas, Leonardo M. Arikawa, Larissa F. S. Fonseca, Gerardo A. Fernandes Júnior, Roberto Carvalheiro, Lucia G. Albuquerque

“…Thus, this study aimed to detect structural variants using whole genome re-sequencing (WGS) data and identify positional candidate genes and quantitative trait loci (QTL) overlapping the most frequent SV regions in Nellore cattle. …”
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Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties by Fredi Alegría, Eladio Martínez, Claudia Cortés-García, Quirino Estrada, Andrés Blanco-Ortega, Mario Ponce-Silva

Subjects: “…structural damage…”
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Barriers to the Adoption of Big Data Analytics in Saudi Arabia’s Manufacturing Sector: An Interpretive Structural Modeling Approach by Almuhannad S. Alorfi, Naif Alsaadi

“…However, there exist several barriers that undermine the successful adoption of big data analytics in these industries. This paper presents a structural analysis of the barrier to big data analytics adoption in manufacturing industries. …”
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A Methodological and Structural Review of Parkinson’s Disease Detection Across Diverse Data Modalities by Abu Saleh Musa Miah, Taro Suzuki, Jungpil Shin

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Experimental data of structural tests on non-continuously stiffened steel panels subjected to uniform compressionrearchdata UIBK. by Immo Lukas, Ralph Timmers, Melanie Ropele, Robert Lang

“…This data article presents experimental datasets from structural tests of 20 open-section and 30 closed-section non-continuously stiffened steel panels subjected to uniform compression. …”
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