Lux: A Generative, Multioutput, Latent-variable Model for Astronomical Data with Noisy Labels by Danny Horta, Adrian M. Price-Whelan, David W. Hogg, Melissa K. Ness, Andrew R. Casey

“…Lux is a powerful new framework for the analysis of large-scale spectroscopic survey data. Its ability to handle uncertainties while maintaining high precision makes it particularly valuable for stellar survey label inference and cross-survey analysis, and the flexible model structure allows for easy extension to other data types.…”
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Automated Construction and Mining of Text-Based Modern Chinese Character Databases: A Case Study of Fujian by Xueyan Jian, Wen Yuan, Wu Yuan, Xinqi Gao, Rong Wang

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GULP. II. Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 by Beena Meena, Elena Sabbi, Peter Zeidler, Bruce G. Elmegreen, Jan J. Eldridge, Varun Bajaj, Mario Gennaro, Anna Pasquali, Debra M. Elmegreen, Ralf S. Klessen, Linda J. Smith, Luciana Bianchi, Aida Wofford, Pietro Facchini, John S. Gallagher III, Daniela Calzetti, Eva K. Grebel, Angela Adamo, (GULP)

“…We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf starburst galaxy NGC 4449 using data from the GULP survey. …”
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PCGOD: Enhancing Object Detection With Synthetic Data for Scarce and Sensitive Computer Vision Tasks by Walid Remmas, Martin Lints, Jaak Joonas Uudmae

“…Object detection models rely on large-scale, high-quality annotated datasets, which are often expensive, scarce, or restricted due to privacy concerns. Synthetic data generation has emerged as an alternative, yet existing approaches have limitations: generative models lack structured annotations and precise spatial control, while game-engine-based datasets suffer from inaccuracies due to 3D bounding box projections, limited scene diversity, and poor handling of articulated objects. …”
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Reusing data from HL7 CDA-based shared EHR systems for clinical trial conduct: a method for analyzing feasibility by Georg Duftschmid, Florian Katsch, Gabriela Ciortuz, Dipak Kalra, Christoph Rinner

“…We applied our approach to the Austrian nation-wide EHR system ELGA and showed that the latter allows the recording of 88% of all EHR4CR data elements, 77% in structured format. Conclusions Our method allows HL7 CDA-based shared EHR systems to be easily analyzed to what extent their content could be reused in the context of clinical trials. …”
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Addressing standardization and semantics in an electronic lab notebook for multidisciplinary use: LabIMotion by Chia-Lin Lin, Pei-Chi Huang, Christof Wöll, Patrick Théato, Christian Kübel, Lena Pilz, Nicole Jung, Stefan Bräse

“…LabIMotion enhances documentation by introducing customizable components structured across three levels—Elements, Segments, and Datasets—enabling flexible, hierarchical organization and reuse of data. …”
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Comments on the Methods of Characterization of Textural Properties of Solids from Gas Adsorption Data by Antonio Marcilla, Amparo Gomez-Siurana, Ma Muñoz José, Francisco Javier Valdés

“…Certain drawbacks of several of the conventional methods of analyzing Type I and II adsorption isotherms frequently used to characterize the structural properties of adsorbent materials have been demonstrated. …”
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PREDICTION OF FLAT RING FATIGUE LIFE OF SCRAPER CHAIN BASED ON TEST DATA by MAO Jun, WANG HongTao, XIE Miao, ZHENG Wei

“…The tension load spectrum as the simulation load data;Then, the finite element software is used to analyze the unequal load on the two right angles of the chain flat ring. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…It involves transmitting electromagnetic signals into the ground and analyzing their responses to determine the geological structure, lithology, and fluid content of the formation. …”
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Healthy lives, enriched minds: the role of physical health and mental health on educational attainment in Northern Ireland by Erin Early, Sarah Miller, Laura Dunne, Dermot O’Reilly

“…Multilevel models were executed to account for the nested data structure and wider demographic profile of young people. …”
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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…The core of this method involves constructing a model for the overall layout of the structural plan, which includes three main stages: constructing datasets, training and evaluating the model, and applying the model.MethodsIn the dataset construction stage, due to the limited number of data samples, and to reduce model training parameters, refine sample features, and improve training outcomes, this paper proposes three information representation methods for architecture, beams, and columns. …”
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Three‒Dimensional Numerical Simulation of the Breaching Process of Landslide Dams with Heterogeneous Structures by HU Xianrui, PENG Ming, FU Xiaoli, YANG Ge, ZHU Yan, SHI Zhenming, ZHANG Gongding

“…Due to gravitational sorting during downslope transport and complex topographic constraints in narrow valleys, these dams generally exhibit inherently three-dimensional (3D), spatially heterogeneous internal structures. However, most existing breach simulation models assume material homogeneity for computational convenience, neglecting the influence of real-world structural non-uniformity. …”
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MSMCE: A novel representation module for classification of raw mass spectrometry data. by Fengyi Zhang, Boyong Gao, Yinchu Wang, Lin Guo, Wei Zhang, Xingchuang Xiong

“…Most existing methods rely on single-channel representations, which struggle to effectively capture structural information within MS data. To address these limitations, we propose a Multi-Channel Embedding Representation Module (MSMCE), which focuses on modeling inter-channel dependencies to generate multi-channel representations of raw MS data. …”
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Multi-scale Jones polynomial and persistent Jones polynomial for knot data analysis by Ruzhi Song, Fengling Li, Jie Wu, Fengchun Lei, Guo-Wei Wei

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Global economic sanctions and export survival: Evidence from cross-country data by Ha Thanh Le

“…Research Design & Methods: While we employ the new data base of the Global Sanctions Data Base introduced by Felbermayr et- al. (2020), export survival rate is defined as the ratio of the number of survivors to the entrants. …”
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The Intersection of Race, Data, and Learning: Applying QuantCrit to Mathematics Education Research by Jamaal Young, Jemimah Young, Kristian Edosomwan

“…QuantCrit challenges the assumed neutrality of data interrogates deficit-based narratives and calls for the use of quantitative methods that advance social justice. …”
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Against decolonial reductionism: The impact of Latin American thinking on the data decolonization project by Stefania Milan, Emiliano Treré

“…Examining the sources of inspiration of a frontrunner seeking to decolonize the datafied society – the Big Data from the South Initiative ( BigDataSur ) – we review Martín-Barbero's ontological shift from media to mediations, Freire's methodology centring individual agency and empowerment as a structural task of society, Mignolo's invite to take decoloniality as a praxis rather than merely an idea, Rodríguez's first-hand engagement with technology at the margins, Escobar's autonomous design for the pluriverse, and the critical ecology of eco-social movements. …”
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Political Metaphors and the Reputational Image of Power: Experience in Classifying Sociological Survey Data by L. V. Nikiforova, N. N. Rozanova

“…This classification is necessary for the analysis of the data of sociological survey, which was conducted by the team of Smolensk University in 2022 in regions of Russia. …”
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Towards predictive maintenance of hydrogen pressure vessels based on multi-sensor data by Christos Karapanagiotis, Jan Heimann, Eric Duffner, Amir Charmi, Marcus Schukar, Seyedreza Hashemi, Jens Prager

“… In this paper, we report on a sensor network for structural health monitoring (SHM) of Type IV composite overwrapped pressure vessels (COPVs) designed for hydrogen storage. …”
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Wavelet-Based Estimation of Damping from Multi-Sensor, Multi-Impact Data by Hadi M. Daniali, Martin v. Mohrenschildt

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