Digital youth inclusion and the big data divide: examining the Scottish perspective by Alicja Pawluczuk

“…In the era of the ‘big data divide’, digital inclusion programmes should aim to enable young people’s critical digital abilities to continually review and respond to their positions within the power structures of the data society. …”
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IGN: Invariable gene set-based normalization for chromatin accessibility profile data analysis by Shengen Shawn Hu, Hai-Hui Xue, Chongzhi Zang

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Annotation of biological samples data to standard ontologies with support from large language models by Andrea Riquelme-García, Juan Mulero-Hernández, Jesualdo Tomás Fernández-Breis

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Leveraging multiple labeled datasets for the automated annotation of single-cell RNA and ATAC data by Joseba Sancho-Zamora, Akash Kanhirodan, Xabier Garrote, Juan Manuel Silva Rojas, Olivier Gevaert, Mikel Hernaez, Guillermo Serrano, Idoia Ochoa

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Incentive Mechanism for Data Sharing in Smart Manufacturing Under the Industrial Internet by Jialiang Zhang, Xinxin Guo, Yongtao Peng

“…The mechanism addresses several key challenges in data sharing, including data silos among manufacturing devices, insufficient incentive structures, dynamic supply-demand imbalances under production task and equipment state constraints, and the high computational complexity of achieving global equilibrium in large-scale distributed systems. …”
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Image retrieval method based on data mining and deep residual network by Hongzhi Yuan, Wei Hu

“…To overcome the vanishing gradient problem of traditional residual networks in deep structures, an improved residual network structure was introduced in the study, and optimization was performed simultaneously by combining the spatial transformation network and the feature enhancement module. …”
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Molecular Mobility of Different Forms of Ketoprofen Based on DFT Calculation Data by Kapitolina A. Logacheva, Alexander V. Belushkin, Polina A. Gergelezhiu, Alexander B. Eresko, Sergey N. Malakhov, Elena V. Raksha, Ludmila I. Savostina, Dorota M. Chudoba

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Enhancing RAG Performance by Representing Hierarchical Nodes in Headers for Tabular Data by Minchae Song

“…Recent developments in retrieval-augmented generation (RAG) techniques have aimed at integrating structured tabular data with external data sources. …”
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Curing simulation and data-driven curing curve prediction of thermoset composites by Chenchen Wu, Ruming Zhang, Pengyuan Zhao, Liang Li, Dingguo Zhang

“…This paper focuses on developing a data-driven approach for predicting the degree-of-cure curve. …”
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Community structure of woody plants on islands along a bioclimatic gradient by Paulo A.V. Borges, Pedro Cardoso, Simone Fattorini, François Rigal, Thomas J. Matthews, Letizia Di Biase, Isabel R. Amorim, Margarita Florencio, Luis Borda-de-Água, Carla Rego, Fernando Pereira, Rui Nunes, Rui Carvalho, Maria Teresa Ferreira, Heriberto López, Antonio J. Pérez Delgado, Rüdiger Otto, Silvia Fernández Lugo, Lea de Nascimento, Juli Caujapé-Castells, Juliane Casquet, Samuel Danflous, Jacques Fournel, Anne-Marie Sadeyen, Rui B. Elias, José María Fernández-Palacios, Pedro Oromí, Christophe Thébaud, Dominique Strasberg, Brent C. Emerson

“…Understanding patterns of community structure and the causes for their variation can be furthered by comparative biogeographic analyses of island biotas. …”
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A Support Vector Regression Approach for Three–Level Longitudinal Data by Mohammad Moqaddasi Amiri, Leili Tapak, Javad Faradmal

“…Background: Longitudinal data structure is frequently observed in health science. …”
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InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data by Dor Tsur, Haim Permuter

“…By mapping visual patterns in InfoMat to various modes of dependence structures, we provide a data-driven framework for analyzing causal relationships and temporal interactions. …”
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Transformation of the Agricultural Sector in Sulawesi Island: A Panel Data Approach by Lestari Gita Nur'aini, Teguh Endaryanto, Muhammad Irfan Affandi

“…Keywords: economic transformation,  fixed effect model, panel data regression, sectoral GDP contribution, structural shift …”
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Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach by Meng Zhang, Joel Parker, Lingling An, Yiwen Liu, Xiaoxiao Sun

“…Extensive simulation studies have shown that FAST outperforms other existing reference-free methods. In real data applications, FAST is able to uncover the underlying tissue structures and identify the corresponding marker genes.…”
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Learning a prior on regulatory potential from eQTL data. by Su-In Lee, Aimée M Dudley, David Drubin, Pamela A Silver, Nevan J Krogan, Dana Pe'er, Daphne Koller

“…Genome-wide RNA expression data provide a detailed view of an organism's biological state; hence, a dataset measuring expression variation between genetically diverse individuals (eQTL data) may provide important insights into the genetics of complex traits. …”
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Determinants of Financial Sustainability in Microfinance Institutions: A Panel Data Study by Gyan Mani Adhikari, Amrita Sapkota, Devendra Parajuli, Ganesh Bhattarai

“…The research employed the two-step system General Method of Moments estimator to analyze the financial sustainability of twenty-five sampled microfinance institutions, out of fifty-seven D-class financial institutions categorized as microfinance institutions and regulated by Nepal Rastra Bank, using cross-sectional data obtained from their comprehensive financial statements spanning from 2016 to 2023. …”
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Deep Learning-Based Interpolation for Ground Penetrating Radar Data Reconstruction by Ziyang Zhou, Meijia Huang, Hong Xu, Xinyu Yang, Yinpeng Li, Zhuo Jia

“…The method exhibits strong adaptability and high-precision performance, making it effective in complex underground structures and varying environments. Whether with synthetic or real-world data, deep learning provides a reliable solution for GPR data processing.…”
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Automated identification of soil functional components based on NanoSIMS data by Yahan Hu, Johann Maximilian Zollner, Carmen Höschen, Martin Werner, Steffen A. Schweizer

“…NanoSIMS technique allows to investigate the micro-spatial organization in complex structures in multiple scientific fields such as material science, cosmochemistry, and biogeochemistry. …”
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Examining Sentiment Analysis for Low-Resource Languages with Data Augmentation Techniques by Gaurish Thakkar, Nives Mikelić Preradović, Marko Tadić

“…Theoretically, our results indicate that future research should concentrate on the development of augmentation strategies that introduce novel syntactic structures rather than solely relying on lexical variations, as current models may not effectively leverage synonymic or lemmatised data. …”
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On the fidelity versus privacy and utility trade-off of synthetic patient data by Tim Adams, Colin Birkenbihl, Karen Otte, Hwei Geok Ng, Jonas Adrian Rieling, Anatol-Fiete Näher, Ulrich Sax, Fabian Prasser, Holger Fröhlich

“…Synthetic data without differential privacy (DP) maintained fidelity and utility without evident privacy breaches, whereas DP-enforced models significantly disrupted correlation structures. …”
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