The Structural and Kinematical Properties of NGC 5634, a Globular Cluster Associated with the Sagittarius Dwarf Galaxy? by Shouzhi Wang, Jundan Nie, Biwei Jiang, Hao Tian, Chao Liu, Ying-Hua Zhang

“…We investigate the origin of NGC 5634 through a comprehensive analysis of its morphology, kinematics, and dynamics. Utilizing data from the DESI Legacy Survey, we refined its fundamental parameters (age τ = 12.8 ± 0.3 Gyr, metallicity [Fe/H] = −1.8 ± 0.1 dex, distance modulus dm = 17.0 ± 0.1 mag) and constructed a matched-filter template based on the combination of these parameters to search for extra-tidal structures. …”
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Analysis of dairy farm assets in the Visegrad Group based on the Farm Accountancy Data Network 2015-2022 data by Ildikó VAJDÁNÉ SZABÓ, Nóra HEGEDŰSNÉ BARANYAI, Judit Poór

“…This study aims to investigate the milk production of the Visegrad countries (V4), to answer the question, of what differences and similarities characterize the asset structure of the dairy farms of these countries. Based on the Farm Accountancy Data Network (FADN), the size and the structure of the fixed assets, as well as the use of subsidies for investments is analyzed. …”
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Investigation of the internal structure of the deuteron against the background of two-photon exchange effects in elastic electron-deuteron scattering by Ya. D. Krivenko-Emetov, O. S. Shevchuk

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What determines export structure in the EU countries? The use of gravity model in international trade based on the panel data for the years 1995-2015 by Marek Maciejewski, Krzysztof Wach

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Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

“…A number of studies have shown that, in hedonic models, the structural attributes of real property have a greater influence on price than external attributes related to location and the immediate neighbourhood. …”
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Designing a Model of Intangible Causes of Bankruptcy by TISM by Marzieh Mazaheri, leyla Safdarian, Mahnam Molaei

“…This study aims to design a model of intangible causes of bankruptcy of capital market companies based on modeling a Total Interpretive Structural Modelling. This research is methodologically based on the result, developmental, and data type is a mixed method. …”
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Bayesian networks for causal analysis in socioecological systems by Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro A. Aguilera, Antonio Salmerón

“…Specifically, we present a case study using non-experimental data from southern Spain. For this, we propose the use of structural causal models, which are kind probabilistic models for causal analysis that simplify this kind of reasoning due to their graphical representation. …”
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Examining pathways between structural stigma and tobacco use: a comparison among young adults living in the United States by sexual orientation and gender identity by Wilson Figueroa, Srinivasan Sridhar, Emma Jankowski, Alysha Ennis, Anne Trinh, Eric Seiber, Joanne G. Patterson

“…Methods Structural Equation Modeling was used to conduct a secondary data analysis from a cross-sectional parent study. …”
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Structural barriers and facilitators to accessing postsurgical rehabilitation in adults who were treated with surgery for low back pain: protocol for a scoping review by Jessica J. Wong, Jen Rinaldi, Paulo Pereira, Silvano Mior, Lauren Ead, Alanna Veitch, Kent Murnaghan, Pierre Côté

“…However, many encounter barriers to accessing rehabilitation due to structurally generated inequities linked to socioeconomic position. …”
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Structural deformation responses in the Neoproterozoic stratum to the multiple tectogenesis around the southwestern margin of the North China Craton by Guanxu Chen, Jinhai Luo, Gennian Sun, Ming Zhao, Yinglei Chang, Zhuo Chen

“…The rocks are characterized by intense structural deformation. Based on geochronological data, this study identifies three stages of structural deformation, each occurring at different tectonic levels during distinct periods: the early stage of the Early Paleozoic, the later stage of the Early Paleozoic, and the Early-Middle Triassic. …”
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IDEA: Image database for earthquake damage annotationZenodo by Ilaria Senaldi, Chiara Casarotti, Martina Mandirola, Alessio Cantoni

“…The data article presents the “Image Database for Earthquake damage Annotation (IDEA)”, an extended dataset of annotated real structural damage consisting of more than 5400 images, collected during post-event and ordinary field inspections. …”
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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

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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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Spatiotemporal tensor analysis for effective information mining of hydraulic structures considering environmental excitation and vibration response by Hui Li, Zhang Han, Tengfei Bao, Xiaohan Duan, Guang Yang, Xianyu Xiong, Yibo Ouyang, Jiankang Lou

“…Abstract The vibration response data is a key foundation of vibration-based hydraulic structures’ online damage diagnosis. …”
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Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

“…Results showed that structural and physiological VIs significantly improved classification accuracy by 7–43% compared to the initial accuracy. …”
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Structuring and centralizing breast cancer real-world biomarker data from pathology reports through C-LAB artificial intelligence platform by Florent Le Borgne, Camille Garnier, Camille Morisseau, Yanis Navarrete, Yanina Echeverria, Juan Mir, Jaume Calafell, Tanguy Perennec, Olivier Kerdraon, Jean-Sébastien Frenel, Judith Raimbourg, Mario Campone, Maria Fe Paz, François Bocquet

“…Results C-LAB ® achieved over 80% agreement with human extractions (precision, recall, and F1-score) in structuring biomarker data from complex, unstructured pathology reports, despite dataset variability and optical character recognition errors. …”
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Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands by Y. Shi, J. Wang, W. D. Kissling

“…<p>Recent years have seen a rapid surge in the use of light detection and ranging (lidar) technology for characterizing the structure of ecosystems. Even though repeated airborne laser scanning (ALS) surveys are becoming increasingly available across several European countries, so far, only a few studies have derived data products of ecosystem structure at a national scale, possibly due to a lack of free and open-source tools and the computational challenges involved in handling the large volumes of data. …”
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Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model. by Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network

“…The Bayesian rate consistency model provides a model-based, non-parametric, computationally tractable approach for estimating the fine structure and longitudinal trends in social contacts and is applicable to contemporary survey data with coarsely reported age of contacts as long as the exact age of survey participants is reported.…”
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Seasonal genetic variation and genetic structure of Spodoptera exigua in Liaoning Province, Northeast China: insights from 11 years of microsatellite data by Ming-Li Yu, Xian-Zhi Xiu, Jin-Yang Wang, Xin-Yi Cao, Fa-Liang Qin, Xing-Ya Wang, Li-Hong Zhou

“…To control this pest effectively, it is crucial to investigate its seasonal genetic variation and population genetic structure in northern China. Methods In this study, we used eight nuclear microsatellite loci to investigate the seasonal genetic variation and genetic structure of BAW in Shenyang, Liaoning Province, Northeast China, from 2012–2022, collected from a single location on Welsh onion. …”
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The glucose-lowering therapy structure in special groups of type 2 diabetes mellitus patients based on data from the Moscow region register by Inna V. Misnikova, Yulia A. Kovaleva, Mikhail А. Isakov, Alexander V. Dreval

“…BACKGROUND: Data of real clinical practice in diabetes mellitus (DM) register allow to evaluate features and trends in structure of glucose-lowering therapy (GLT). …”
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